Search Results - automatización programming general terms algorithms

Web Application Development for TODIM Method Automation and Alternatives Evaluation.

Alternate Title: Desarrollo de Aplicación Web para la Automatización del Método TODIM y Evaluación de Alternativas. (Spanish)

Authors: Bonilla Solís, Irvin David Pérez-Domínguez, Luis Asunción Ramírez Delgado, Rosa Patricia et al.

Source: Data & Metadata; 2025, Vol. 4, p1-16, 16p

Optimizing automated photo identification for population assessments.

Authors: Patton PT Pacifici K Baird RW et al.

Source: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2025 Aug; Vol. 39 (4), pp. e14436. Date of Electronic Publication: 2025 Jan 14.

Publication Type: Journal Article

Journal Info: Publisher: Blackwell Publishing, Inc. on behalf of the Society for Conservation Biology Country of Publication: United States NLM ID: 9882301 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-1739 (Electronic) Linking ISSN: 08888892 NLM ISO Abbreviation: Conserv Biol Subsets: MEDLINE

MeSH Terms: Photography*/methods , Conservation of Natural Resources*/methods, Algorithms ; Animals

XVIII Congreso Internacional de Electrónica Control y Telecomunicaciones : Ciencia, Tecnología e innovación avanzadas para transitar hacía un nuevo sistema sociotécnico: transformación social sostenible. Libro de memorias Vol. 14 ; Ciencia, tecnología e innovación avanzadas para transitar hacía un nuevo sistema sociotécnico: transformación social sostenible. Libro de memorias Vol. 14 ; XVIII International Congress of Electronics, Control and Telecommunications: Advanced science, technology and innovation to move towards a new socio-technical system: sustainable social transformation. Memoir Book Vol. 14

Authors: Guerrero, Henry B. Jutinico Alarcón, Andrés Leonardo Fajardo Barrero, Juan et al.

Contributors: Guerrero, Henry B. Jutinico Alarcón, Andrés Leonardo Fajardo Barrero, Juan et al.

Subject Terms: Robótica, Agentes inteligentes, Inteligencia artificial, Redes neuronales, Automatización, Bioingeniería, Platafomas web, Prótesis, TIC, Procesamiento de datos, Generadores de energía, Energía -- Congresos, conferencias, etc. -- Memorias, Bioingeniería -- Congresos, Sistemas de control inteligente -- Congresos, Procesamiento de señales -- Congresos, Automatización -- Congresos, Desarrollo de prototipos -- Congresos, Ingeniería biomédica -- Congresos, Tecnologías de la información y de la comunicación -- Congresos, Procesamiento digital de imágenes -- Congresos, Redes neuronales (Computadores) -- Congresos, Inteligencia artificial -- Congresos, Robotics, Intelligent agents, Artificial intelligence, Neural networks, Automation, Bioengineering

File Description: pdf; application/pdf

Relation: Congreso Internacional de Electrónica Control y Telecomunicaciones.; Borrero Guerrero, H., Baquero Velasquez, A.E., Barrero, J.F., Côco, D.Z., Risardi, J.C., Magalhães, D.V. and Becker, M., 2014. “Orientation (yaw) fuzzy controller applied to a car-like mobile robot prototype”. In 2014 IEEE 5th Colombian Workshop on Circuits and Systems (CWCAS). pp. 1–6. doi:10.1109/CWCAS.2014.6994603.; Higuti, V.A.H., Guerrero, H.B., Velasquez, A.E.B., Pinto, R., Tinelli, L.M., Magalhães, D.V. and Milori, D., 2015. “Lowcost embedded computer for mobile robot platform based on raspberry board”. In ABCM International Congress of Mechanical Egineering (Cobem2015), Rio de Janeiro, Brazil.; Guerrero, H.B., 2016. Desenvolvimento de um sistema de controle em um robô móvel agrícola em escala reduzida para deslocamento entre fileiras de plantio. Ph.D. thesis, Escola de Engenharia de São Carlos, Universidad de Sao Paulo.; Guerrero, H.B., 2016. Desenvolvimento de um sistema de controle em um robô móvel agrícola em escala reduzida para deslocamento entre fileiras de plantio. Ph.D. tesis, Escola de Engenharia de São Carlos, Universidad de Sao Paulo.; Ni, J., Wang, Y., Li, H. and Du, H., 2022. “Path tracking motion control method of tracked robot based on improved lqr control”. 2022 41st Chinese Control Conference (CCC). doi:10.23919/CCC55666.2022.9902113.; Ben Halima Abid, D., Allagui, N.Y. and Derbel, N., 2017. “Navigation and trajectory tracking of mobile robot based on kinematic pi controller”. In 2017 18th International Conference on Sciences and; Allagui, N.Y., Abid, D.B. and Derbel, N., 2019. “Autonomous navigation of mobile robot with combined fractional order pi and fuzzy logic controllers”. In 2019 16th International Multi-Conference on Systems, Signals Devices (SSD). pp. 78–83. Doi:10.1109/SSD.2019.8893176.; Lentin, J., 2018. “Robot operating system for absolute beginners”. Apress, Berkeley, CA.; Nevludov, I., Sychova, O., Reznichenko, O., Novoselov, S., Mospan, D. and Mospan, V., 2021. “Control system for agricultural robot based on ros”. 2021 IEEE International Conference on Modern Electrical and Energy Systems (MEES). pp. 1–6. doi:10.1109/MEES52427.2021.9598560.; Megalingam, R.K., Nagalla, D., Nigam, K., Gontu, V. and Allada, P.K., 2020. “Pid based locomotion of multi-terrain robot using ros platform”. 2020 Fourth International Conference on Inventive Systems and Control (ICISC). pp. 751–755. doi:10.1109/ICISC47916.2020.9171152.; Alam Bhuiyan, Ifte Khairul. (2017). LiDAR Sensor for Autonomous Vehicle. 10.13140/RG.2.2.16982.34887/1.; Lin, Z., Xiong, Y., Dai, H. and Xia, X., 2017. “An experimental performance evaluation of the orientation accuracy of four nine-axis mems motion sensors”. 2017 5th International Conference on Enterprise Systems (ES). pp. 185–189. doi:10.1109/ES.2017.37.; Henry, B.G., David, Q.Y., Estivent, C.M.J., Arbey, C.C.L., Alexis, C.R.Y. and Andrés, S.R., 2020. “Lidar readings based mobile robot wall-following task using a reactive fuzzy control system - a low-cost experimental approach”. URL https://hemeroteca.unad.edu.co/index.php/memorias/article/view/4201.; Guerrero, H.B., 2016. Desenvolvimento de um sistema de controle em um robô móvel agrícola em escala reduzida para deslocamento entre fileiras de plantio. Ph.D. tesis, Escola de Engenharia de São Carlos, Universidade de Sao Paulo.; S.N. Sivanandam, S. Sumathi. and S.N. Deepa, "Introduction to Fuzzy Logic using MATLAB", Springer-Verlag, Berlin, Germany, 2007.; M. Garcia Sanz and M. Motilva Casado, "Herramientas para el estudio de robots de cinemática paralela: Simulador y prototipo experimental," Revista Iberoamericana de Automática e Informática Industrial, RIAI, vol. 2, no. 2, pp. 73-81, 2005. https://polipapers.upv.es/index.php/RIAI/article/view/8064; A. I. Aureles Cabrera, Robot paralelo tipo STEWART para la rehabilitación de tobillo, Hidalgo, Mexico: Universidad Politécnica de Tulancingo, 2019. http://www.upt.edu.mx/Contenido/Investigacion/Contenido/TESIS/MAC/2019/MAC_T_2 019_01_AAC.pdf; Instituto de Investigación de Seguridad en la Conducción IOWA, «Simulador NADS - 1,» Univesidad de Iowa, 2023. [En línea]. Available: https://dsri.uiowa.edu/nads-1. [Último acceso: 02 2023].; SIMAERO, "AIRBUS A340 FFS," SIMAERO, 2023. [Online]. Available: https://www.sim.aero/a340/. [Último acceso 02 2023].; O. Altuzarra, Y. San Martín, E. Amezua and A. Hernández, "Motion pattern analysis of parallel kinematic machines: A case study," Robotics and Computer-Integrated Manufacturing, vol. 25, no. 2, pp. 432-440, 2009. https://doi.org/10.1016/j.rcim.2008.01.007; J. Fernandes and A. Selvakumar, "Kinematic and Dynamic Analysis of 3PUU Parallel Manipulator for Medical Applications," Procedia Computer Science, vol. 133, no. 1, pp. 604-611, 2018. https://doi.org/10.1016/j.procs.2018.07.091; I. Ben Hamida, M. Amine Laribi, A. Mlika, L. Romdhane, S. Zeghloul and G. Carbone, "Multi-Objective optimal design of a cable driven parallel robot for rehabilitation tasks," Mechanism and Machine Theory, vol. 156, no. 1, pp. 104-141, 2021. https://doi.org/10.1016/j.mechmachtheory.2020.104141; K. Duarte Barón and C. Borrás Pinilla, «Generalidades de robots paralelos,» Revista visión electrónica, algo más que un estado sólido, vol. 10, nº 1, pp. 1-11, 2016. https://doi.org/10.14483/22484728.11711; K. Duarte Barón, C. Borrás Pinilla and J. J. Gil Pelaez, «Dynamic analysis and simulation of computed torque control of a parallel robot 3SPS - 1U,» de IEEE 4th Colombian Conference on Automatic Control (CCAC), Medellín, Colombia, 2019. https://doi.org/10.1109/CCAC.2019.8921238; C. Gosselin and J. Angeles, "Singularity analysis of closed-loop kinematic chains," IEEE Transactions on Robotics and Automation, vol. 6, no. 3, pp. 281-290, 1990. https://doi.org/10.1109/70.56660; J. Kardos, "Robust Computed Torque Method of Robot Tracking Control," in 22nd International Conference on Process Control (PC19), Strbske Pleso, Slovakia, 2019. https://doi.org/10.1109/PC.2019.8815088; C. Jun and W. Lin, "Track Tracking of Double Joint Robot Based on Sliding Mode Control," in IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE), Dalian, China, 2020. https://doi.org/10.1109/ICISCAE51034.2020.9236895; W. X. Xu, G. Z. Cao, Y. P. Zhang, J. C. Chen, D. P. Tan and Z. Q. Ling, "Adaptive backstepping sliding mode control of lower limb exoskele-ton robot based on combined double power reaching law," in 2th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Baishan, China, 2022. https://doi.org/10.1109/CYBER55403.2022.9907279; X. Chen, H. Chen, Y. Huang and Q. Huang, "Adaptability Control Towards Complex Ground Based on Fuzzy Logic for Humanoid Robots," IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, pp. 1574-1584, 2022. https://doi.org/10.1109/TFUZZ.2022.3167458; D. Li, J. Pan, J. Liu, M. Wang and J. Yu, "Model Predictive Control Based Path Following of an Amphibious Robot," in 0th Chinese Control Conference (CCC), 2021. https://doi.org/10.23919/CCC52363.2021.9549348; Y. Zhang, L. Sol and Y. Zhang, "Research on Algorithm of Humanoid Robot Arm Control System Based on Fuzzy PID Control," in International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS), Bristol, United Kingdom, 2022. https://doi.org/10.1109/AIARS57204.2022.00082; K. Duarte Barón and C. Borrás Pinilla, Analisis, diseño y simulacion de un control robusto para un robot paralelo de 3 grados de libertad, Bucaramanga, Colombia, Universidad Industrial de Santander, 2019. https://noesis.uis.edu.co/items/c91bc6a4-e228-44f8- 8ab4-33000e9e8688; J. J. Slotine and W. Li, Applied nonlinear control, New Jersey: Prentice Hall, 1991.; S. Iqbal and A. I. Bhatti, "Robust sliding-mode controller design for a stewart platform," in Proceedings of International Bhurban Conference on Applied Sciences, Islamabad, Pakistan, 2007. https://doi.org/10.1109/IBCAST.2007.4379924; C. Zhang and L. Zhang, "Kinematics analysis and workspace investigation of a novel 2- DOF parallel manipulator applied in vehicle driving simulator," Robotics and ComputerIntegrated Manufacturing, vol. 29, no. 2, pp. 113-120, 2013. https://doi.org/10.1016/j.rcim.2012.11.005; Hongwei Gao, Jin An, Chee Kai Chua, David Bourell, Che-Nan Kuo, Dawn T.H. Tan, 3D printed optics and photonics: Processes, materials and applications, Materials Today, 2023, ISSN 1369-7021, https://doi.org/10.1016/j.mattod.2023.06.019; C. Wu, L. Wu, G. Shang and H. Guo, "Application and Research of 3D Printing Technology in the Field of Architecture," 2021 4th International Conference on Electron Device and Mechanical Engineering (ICEDME), Guangzhou, China, 2021, pp. 71-74, https://doi.org/10.1109/ICEDME52809.2021.00024; Jens Oprel, Gerjan Wolterink, Jurnan Schilder, Gijs Krijnen, Novel 3D printed capacitive shear stress sensor, Additive Manufacturing, Volume 73, 2023, 103674, ISSN 2214- 8604, https://doi.org/10.1016/j.addma.2023.103674; Jun Ren, Fan Wu, Erwei Shang, Dongya Li, Yu Liu, 3D printed smart elastomeric foam with force sensing and its integration with robotic gripper, Sensors and Actuators A: Physical, Volume 349, 2023, 113998, ISSN 0924-4247, https://doi.org/10.1016/j.sna.2022.113998; Guo Liang Goh, Wai Yee Yeong, Jannick Altherr, Jingyuan Tan, Domenico Campolo, 3D printing of soft sensors for soft gripper applications, Materials Today: Proceedings, Volume 70, 2022, Pages 224-229, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2022.09.025; W. Zhang, J. Li, H. Liu and G. Jin, "Research on Embedded 3D Printing for Magnetic Soft Robots," 2021 IEEE 16th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), Xiamen, China, 2021, pp. 518-523, https://doi.org/10.1109/NEMS51815.2021.9451436; M. Abouelmajd, A. Bahlaoui, I. Arroub, M. Lagache and S. Belhouideg, "Mechanical Characterization of PLA Used in Manufacturing of 3D Printed Medical Equipment for COVID-19 Pandemic," 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), Kenitra, Morocco, 2020, pp. 1-5, https://doi.org/10.1109/ICECOCS50124.2020.9314444; S. Zhang, G. Xia, X. Hao, Y. Zhang, W. Chen and Z. Zhou, "Design Optimization and Simulation Analysis of Screw Extrusion 3D Printing Screw," 2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), Ma'anshan, China, 2022, pp. 400-404, https://doi.org/10.1109/WCMEIM56910.2022.10021447; B. B. Kanbur, S. Shen, Y. Zhou and F. Duan, "Neural network-integrated multiobjective optimization of the 3D-printed conformal cooling channels," 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, 2020, pp. 1-6, https://doi.org/10.23919/SpliTech49282.2020.9243730; D. Wang, H. Wang and Y. Wang, "Continuity Path Planning for 3D Printed Lightweight Infill Structures," 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), Shenyang, China, 2021, pp. 959-962, https://doi.org/10.1109/TOCS53301.2021.9688877; M. H. Ali, G. Yerbolat and S. Amangeldi, "Material Optimization Method in 3D Printing," 2018 IEEE International Conference on Advanced Manufacturing (ICAM), Yunlin, Taiwan, 2018, pp. 365-368, https://doi.org/10.1109/AMCON.2018.8614886; R F. Peng, "Prototyping to Mass Production: Automated CAD Model and G-Code Optimization Framework for Industrial 3D Printing," 2023 9th International Conference on Mechatronics and Robotics Engineering (ICMRE), Shenzhen, China, 2023, pp. 203- 206, https://doi.org/10.1109/ICMRE56789.2023.10106588; Mohit Bhayana, Jaswinder Singh, Ankit Sharma, Manish Gupta, A review on optimized FDM 3D printed Wood/PLA bio composite material characteristics, Materials Today: Proceedings, 2023, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2023.03.029; Aliza Rabinowitz, Paul M. DeSantis, Cemile Basgul, Hannah Spece, Steven M. Kurtz, Taguchi optimization of 3D printed short carbon fiber polyetherketoneketone (CFR PEKK), Journal of the Mechanical Behavior of Biomedical Materials, Volume 145, 2023, 105981, ISSN 1751-6161, https://doi.org/10.1016/j.jmbbm.2023.105981; Mihir Mogra, Ofer Asaf, Aaron Sprecher, Oded Amir, Design optimization of 3D printed concrete elements considering buildability, Engineering Structures, Volume 294, 2023, 116735, ISSN 0141-0296, https://doi.org/10.1016/j.engstruct.2023.116735; C. Wu, C. Dai, G. Fang, Y. -J. Liu and C. C. L. Wang, “General Support-Effective Decomposition for Multi-Directional 3-D Printing”, IEEE Transactions on Automation Science and Engineering, vol. 17, no. 2, pp. 599-610, April 2020, doi: https://doi.org/10.1109/TASE.2019.2938219; L. Cheng and A. To, “Part-scale build orientation optimization for minimizing residual stress and support volume for metal additive manufacturing: Theory and experimental validation,” Computer-Aided Design, vol. 113, pp. 1–23, Aug. 2019, doi: https://doi.org/10.1016/j.cad.2019.03.004; J. Jiang, X. Xu, and J. Stringer, “Optimization of process planning for reducing material waste in extrusion based additive manufacturing,” Robotics and Computer-Integrated Manufacturing, vol. 59, pp. 317–325, Oct. 2019, doi: https://doi.org/10.1016/j.rcim.2019.05.007; George E. P. Box. “Evolutionary Operation: A Method for Increasing Industrial Productivity.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 6, no. 2 (1957): 81–101. https://doi.org/10.2307/2985505; J. C. Guacheta-Alba, S. Gonzalez, D. A. Nunez, M. Mauledoux, O. Aviles, "3D printing part orientation optimization: discrete approximation of support volume". International Journal of Electrical and Computer Engineering, vol 12. pp. 5958-5966, 2022. https://doi.org/10.11591/ijece.v12i6.pp5958-5966; L. Wing-Yue Geoffrey , M. Sharaf and N. Goldie, "Human-Robot Interaction for Rehabilitation Robots," in Robotic Assistive Technologies: Principles and Practice, Boca Raton, CRC Press, Taylor & Francis Group, 2017, pp. 26-27, 40.; C. Bodine, L. Sliker, M. Marquez, C. Clark, B. Burne and J. Sandstrum, "Social Assistive Robots for Children with Complex Disabilities," in Robotic Assitive Tecnologies: Principles and Practice, Boca Raton, CRC Press, Taylor & Francis Group, 2017, pp. 263, 295.; R. Baker, "Gait analysis methods in rehabilitation," J. Neuroeng. Rehabil., vol. 3, p. 4, 2006.; J. C. Pulido, C. Suárez-Mejías, J. C. González, A. Dueñas Ruiz, P. Ferrand Ferri, M. E. Martínez Sahuquillo, C. Echevarría Ruiz De Vargas, P. Infante-Cossio and C. L. Parra Calderón, "A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation," IEEE ROBOTICS & AUTOMATION MAGAZINE, pp. 24-39, 2019.; G. Emre Cemal, C. YuJung and K. ChangHwan , "Imitation of Human Upper-Body Motions by Humanoid Robots," 16th International Conference on Ubiquitous Robots (UR), p. 24, 2019.; K. Darvish, L. Penco, J. Ramos, R. Cisneros, J. Pratt, E. Yoshida, S. Ivaldi and D. Pucci, "Teleoperation of Humanoid Robots: A Survey," Computer Science, pp. 1-21, 202.; J. Valčík, Similarity Models for Human Motion Data, Brno: Masaryk University, 2016.; P. Kopniak, "Motion capture using multiple Kinect controllers," Przeglad. Elektrotechniczny, 91(8), pp. 26-29, 2015.; L. L. Gómez Echeverry, A. M. Jaramillo Henao, M. A. Ruiz Molina, S. . M. Velásquez Restrepo, C. A. Páramo Velásquez and G. J. Silva Bolívar, "Human motion capture and analysis systems: a systematic review," PROSPECTIVA Vol. 16 - No. 2, pp. 24-34, 2018.; N. Ltda., Axis Neuron User Guide.; A. M. Norjasween, F. A. khtar Hanapiah, R. A. Abdul Rahman and H. Yussof, "Emergence of Socially Assistive Robotics in Rehabilitation for Children with Cerebral Palsy: A Review," International Journal of Advanced Robotic Systems, pp. 1-7, 2016.; S. Fojt˚u, "Nao Localization and Navigation Based on Sparse 3D Point Cloud Reconstruction," CZECH TECHNICAL UNIVERSITY IN PRAGUE, Praga, 2011.; Revista de Robots, "ROBOT NAO PARA EMPRESA Y EDUCACIÓN," Revista de Robots, 8 junio 2023. [Online]. Available: https://revistaderobots.com/robots-y-robotica/robot-naocaracteristicas-y-precio/?cn-reloaded=1. [Accessed 2023 junio 24].; University of Wisconsin-Madison, "Biovision BVH," 2023. [Online]. Available: https://research.cs.wisc.edu/graphics/Courses/cs-838-1999/Jeff/BVH.html.; B. Lutjens, "perc-neuron-ros-ur10," 2019. [Online]. Available: https://github.com/blutjens/perc_neuron_ros_ur10.; S. Haller, "perception-neuron-ros," 2017. [Online]. Available: https://github.com/smhaller/perception-neuron-ros.; O. Robotics, "Open Robotics," 2019. [Online]. Available: http://wiki.ros.org/nao.; C. Girard, D. Calderón de León, A. Arafat Lemus, V. Ferman and J. Fajardo, "A Motion Mapping System for Humanoids that Provides Immersive Teleprescence Experiences," Universidad Galileo, 2020.; B. M. Lütjens, "Real-Time Teleoperation of Industrial Robots with the Motion Capture System Perception Neuron," TECHNISCHE UNIVERSITÄT MÜNCHEN, Munich, 2017.; I. Almetwally and M. Mallem, "Real-time Tele-operation and Tele-walking of Humanoid Robot Nao using Kinect Depth Camera," IEEE, pp. 1-4, 2013.; C. Gu, L. Weicong, X. He, Z. Lei and Z. Mingming, "IMU-based motion capture system for rehabilitation applications: A systematic review," Biomimetic Intelligence and Robotics, vol. 3, no. 2, pp. 1-13, 2023.; Ministerio de Educación Nacional, «¿Cómo formular e implementar los resultados de aprendizaje?,» 2021. [En línea]. Available: https://www.mineducacion.gov.co/1780/articles-408425_recurso_5.pdf. [Último acceso: 12 septiembre 2023].; NASA, «Los Rovers del Marte,» 23 marzo 2021. [En línea]. Available: https://spaceplace.nasa.gov/mars-rovers/sp/. [Último acceso: 10 septiembre 2023].; J. J. Lugo, «Rover espacial SR-001 diseñado para descubrir nuevos mundos,» 2023. [En línea]. Available: https://ideasdi.com/diseno-transporte/rover-espacial-sr-001/. [Último acceso: 9 septiembre 2023].; TN, «La NASA diseñó un rover que hace rápel para desniveles de otros planetas,» 16 octubre 2020. [En línea]. Available: https://tn.com.ar/tecno/2020/10/16/la-nasadiseno-un-rover-que-hace-rapel-para-desniveles-de-otros-planetas/. [Último acceso: 12 septiembre 2023].; x. m. J. G. y. R. L. Christian Montaleza, «Diseño de un prototipo de robot con geometría Rocker-Bogie,» Enfoque UTE , vol. 13, nº 1, pp. 82-96, 2022.; M. R. H. S. y. M. Santos, «Primera aproximación de diseño de un rover minimalista bio-inspirado,» de XXXVII jornada de automatica, Madrid, 2016.; C. A. L. Talavera, «Diseño de un vehículo a tracción humana para participar en el NASA Human Rover Challenge,» 2022. [En línea]. Available: https://hdl.handle.net/20.500.12404/24409. [Último acceso: 9 septiembre 2023].; D. L. L. y. J. A. A. O. Diana Marcela Hernandez Rincón, «Diseño y construccion de un vehículo autónomo tipo rover -DIDAJO-,» 2005. [En línea]. Available: http://biblioteca.usbbog.edu.co:8080/Biblioteca/BDigital/37506.pdf. [Último acceso: 8 septiembre 2023].; H. . A. Carvajal Pulido, J. D. Bohórquez Guerra y G. Carrasquilla Mercado, «Diseño y construcción de un prototipo a escala de vehículo tipo rover no tripulado para la siembra, fumigación y transporte de productos agrícolas en terrenos irregulares del corregimiento de Berlín Santander,» junio 2021. [En línea]. Available: https://repository.unab.edu.co/handle/20.500.12749/14232. [Último acceso: 5 septiembre 2023].; Pavcowavin, «5 beneficios de usar tuberías PVC en tu casa,» 12 marzo 2021. [En línea]. Available: https://pavcowavin.com.co/blog/beneficios-de-usar-tuberiaspvc#:~:text=Las%20tuber%C3%ADas%20de%20policloruro%20de,como%20aguas %20lluvia%20y%20ventilaci%C3%B3n. [Último acceso: 6 septiembre 2023].; Electrotekmega, «Motor Reductor Faulhaber,» 2023. [En línea]. Available: https://electrotekmega.com/producto/motor-reductor-faulhaber/. [Último acceso: 10 septiembre 2023].; Mvelectronica, «Motorreductor Faulhaber Con Encoder De Velocidad 12v 64:1 120rpm 2342l012cr,» 2023. [En línea]. Available: https://mvelectronica.com/producto/motorreductor-faulhaber-con-encoder-develocidad-12v-64-1-120rpm-2342l012cr. [Último acceso: 2 septiembre 2023].; Arduino.cl, «Arduino Mega 2560,» 2023. [En línea]. Available: https://arduino.cl/producto/arduino-mega2560/#:~:text=Arduino%20Mega%20es%20una%20tarjeta,implementa%20el%20len guaje%20Processing%2FWiring. [Último acceso: 10 septiembre 2023].; Arduino Spain, «Arduino Mega características y specificaciones,» 14 julio 2023. [En línea]. Available: https://arduino-spain.site/arduino-mega/. [Último acceso: 12 septiembre 2023].; Naylampmechatronics, «TUTORIAL DE USO DEL MÓDULO L298N,» 2023. [En línea]. Available: https://naylampmechatronics.com/blog/11_tutorial-de-uso-delmodulo-l298n.html. [Último acceso: 12 septiembre 2023].; Eneka SA, «MÓDULOS COMUNICACIÓN,» 2023. [En línea]. Available: https://www.eneka.com.uy/robotica/modulos-comunicacion/m%C3%B3dulobluetooth-hc05- detail.html#:~:text=Este%20m%C3%B3dulo%20bluetooth%20nos%20permite,opera ci%C3%B3n%20de%20un%20puerto%20serial. [Último acceso: 5 septiembre 2023].; Ambientesoluciones, «PRODUCTOS / BATERÍAS AGM,» 2023. [En línea]. Available: https://www.ambientesoluciones.com/portal/producto/bateria-12v9ah#:~:text=Detalles%3A,y%20descarga%20lenta%20y%20profunda. [Último acceso: 12 septiembre 2023].; Mlstatic, «FL1290,» 2023. [En línea]. Available: https://http2.mlstatic.com/D_NQ_NP_718370-MLA48587476540_122021-O.webp. [Último acceso: 10 septiembre 2023].; Habacuc Flores, «DEVELOPMENT OF A ROVER VEHICLE WITH ROCKER-BOGIE SUSPENSION FOR AGRICULTURAL INSPECTION,» 5 octubre 2016. [En línea]. Available: https://www.youtube.com/watch?v=7B1DlB6RcLQ&t=29s. [Último acceso: 7 septiembre 2023].; F. Cugurullo, "Urban Artificial Intelligence: From Automation to Autonomy in the Smart City," 2020.; Y. Liu, Q. Shi, W. Guo, and W. Liao, "A Real-time, Mobile-object Detection Approach for Unmanned Aerial Vehicle Based Forest Fire Surveillance System," 2020.; P. Jiang, D. Ergu, F. Liu, Y. Cai, and B. Ma, "A Review of YOLO Algorithm Developments," 2022.; R. C. U. Chiroma, "Vehicle detection, counting, and classification in traffic videos: A survey," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 10, pp. 3773-3785, 2021.; M. A. H. Akhand, "Vehicle Recognition from License Plate Number using Deep Learning," arXiv preprint arXiv:1903.09203, 2019.; J. W. Coral López, C. A. Pulgarín Ortiz, S. E. Nope, and A. Barandica, "Identificación de camiones de carga en movimiento por visión artificial," Tesis de pregrado, Escuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle.; Á. Ramajo Ballester, J. González Cepeda, J. M. Armingol Moreno, and A. de la Escalera Hueso, "Reidentificación de camiones mediante técnicas de deep learning," Informe técnico, Laboratorio de Sistemas Inteligentes, Universidad Carlos III de Madrid.; R. A. Gonzalez, R. E. Ferro, and D. Liberona, "Government and governance in intelligent cities, smart transportation study case in Bogotá Colombia," Ain Shams Engineering Journal, vol. 11, no. 1, pp. 25-34, 2020.; Unesco.org. (2023, abril 20). IA por el Planeta: Destacando las innovaciones de IA para la movilidad sostenible y las ciudades inteligentes. [En línea]. Disponible en: https://www.unesco.org/es/articles/ia-por-el-planeta-destacando-las-innovaciones-de-ia-parala-movilidad-sostenible-y-las-ciudades; Redalyc.org. (S/f). [En línea]. Disponible en: https://www.redalyc.org/journal/852/85259689013/html/. Recuperado el 7 de julio de 2023.; Gómez Zapata, C. A. (2019). "Reconocimiento de objetos del hogar, usando redes neuronales convolucionales para personas con discapacidad visual." Revista Científica de Ingeniería y Tecnología, 2(2), 1-10. Disponible en: https://dialnet.unirioja.es/descarga/articulo/7436051.pdf.; Murgui, J., & García-Sánchez, A. J. (2018). "Clasificación y reconocimiento de imágenes con redes neuronales para aplicaciones industriales." Disponible en: https://riunet.upv.es/bitstream/handle/10251/115464/Murgui.pdf?sequence=1; Olabe, X. B. (s/f). "Redes Neuronales Artificiales y Sus Aplicaciones." Disponible en: https://ocw.ehu.eus/pluginfile.php/40137/mod_resource/content/1/redes_neuro/contenidos/pd f/libro-del-curso.pdf. Recuperado el 8 de julio de 2023.; Ortiz, G., & Sánchez, A. I. (2020). "Emprendimiento y tecnologías de la información y la comunicación en Bogotá." Cuadernos de Administración, 36(67), 199-211.; Torres, J., & Acosta, H. (2019). "La innovación en el ecosistema emprendedor de Bogotá." Cuadernos de Administración, 35(64), 251-262.; Uribe, F., & Guzmán, J. (2021). "La colaboración público-privada en el fomento de la innovación en Bogotá: el caso de la identificación de objetos en el contexto vial." Revista Internacional de Gestión y Economía Aplicada, 11(1), 89-101.; Bogotá se destaca como una ciudad innovadora en el CityLab 2021. (2021). [En línea]. Disponible en: https://bogota.gov.co/internacional/bogota-se-destaca-como-una-ciudadinnovadora-en-el-citylab-2021; Ministerio de Transporte y Agencia Nacional de Seguridad Vial adoptan la metodología para establecer velocidad límite y reglamentan los planes de gestión de la velocidad %7C ANSV. (2023). [En línea]. Disponible en: https://ansv.gov.co/es/prensa-comunicados/9955; Parámetros e hiperparámetros en el Machine Learning %7C Codificando Bits. (2023). [En línea]. Disponible en: https://www.codificandobits.com/blog/parametros-hiperparametrosmachine-learning/; ¿Qué es el ajuste de hiperparámetros? - Explicación de los métodos de ajuste de hiperparámetros - AWS. (2023). [En línea]. Disponible en: https://aws.amazon.com/es/whatis/hyperparameter-tuning/; Análisis del flujo vehicular Generalidades. (s/f). [En línea]. Disponible en: https://sjnavarro.files.wordpress.com/2008/08/analisis-de-flujo-vehicular-cal-y-mayor.pdf; "INSTITUTO POLITÉCNICO NACIONAL ESCUELA SUPERIOR DE CÓMPUTO ESCOM “Cálculo del flujo vehicular mediante segmentación de imágenes.” (s/f). [En línea]. Disponible en: https://tesis.ipn.mx/bitstream/handle/123456789/21133/C%C3%A1lculo%20del%20flujo%20v ehicular%20mediante%20segmentaci%C3%B3n%20de%20im%C3%A1genes.pdf?sequence =5&isAllowed=y; Oscar Javier Reyes-Ortiz, Mejia, M., & Juan Sebastián Useche-Castelblanco. (2019). "TÉCNICAS DE INTELIGENCIA ARTIFICIAL UTILIZADAS EN EL PROCESAMIENTO DE IMÁGENES Y SU APLICACIÓN EN EL ANÁLISIS DE PAVIMENTOS." Revista EIA, 16(31), 189–207. Disponible en: https://www.redalyc.org/journal/1492/149258931014/html/; Secretaría Distrital de Movilidad. (2014). Movilidadbogota.gov.co. https://www.movilidadbogota.gov.co/web/; L. Salcedo, "YOLO (You Only Look Once): Detección de Objetos en Tiempo Real," Mi Diario Python, Mi Diario Python, 19 de septiembre de 2018. Disponible en: https://pythondiario.com/2018/09/yolo-you-only-look-once-deteccion-de.html [26] Y. Shao, D. Zhang, H. Chu, X. Zhang, and Y. Rao, "A Review of YOLO Object Detection Based on Deep Learning," 2021.; Konda et al., "Real-Time Traffic Sign Detection and Recognition Using YOLOv3 and OpenCV," 2020.; Bhasin, "Real-time Object Detection with YOLO, OpenCV and Python," 2019.; Suresh et al., "Object Detection with YOLO for Intelligent Traffic Monitoring System," 2020.; S. Siddiqui, "Traffic Sign Detection Using YOLO v3 with OpenCV," 2020.; Propia, "Esquema general de entrenamiento usado para reconocimiento de imágenes con YOLO," [Figura], 2023.; A. Sharma, J. Pathak, M. Prakash, and J. N. Singh, "Object Detection using OpenCV and Python," International Journal of Innovative Research in Computer and Communication Engineering, vol. 8, no. 6, pp. 2736-2741, 2020.; R. Fernandez, "Detección de rostros, caras y ojos con Haar Cascad," Cursos de Programación de 0 a Experto © Garantizados, 10 de enero de 2018. Disponible en: https://unipython.com/deteccion-rostros-caras-ojos-haar-cascad/; Administrador, "Como crear tu propio DETECTOR DE OBJETOS con Haar Cascade %7C Python y OpenCV," omes-va.com, OMES, 29 de julio de 2020. Disponible en: https://omesva.com/como-crear-tu-propio-detector-de-objetos-con-haar-cascade-python-y-opencv/; E. Ángel and J. Ambrogio, "ARTÍCULOS PRESENTADOS A RADI %7C TECNOLOGÍA DE LA INFORMACIÓN Y COMUNICACIÓN." Disponible en: https://confedi.org.ar/wpcontent/uploads/2020/12/Articulo1-RADI16.pdf; Propia, "Esquema general de entrenamiento usado para reconocimiento de imágenes con Haar Cascade," [Figura], 2023.; S. S. Rao, "Vehicle detection and identification using computer vision and deep learning techniques," IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 10, pp. 2827-2836, 2018.; M. E. Gavilán, "Procesamiento de Imágenes y Visión Artificial con MATLAB," MathWorks, 2021.; MathWorks, "Visión Artificial con MATLAB: Detección y seguimiento de objetos," MathWorks, 2013.; Propia, "Esquema general de entrenamiento usado para reconocimiento de imágenes con Visión por computadora sin usar Deep Learning," [Figura], 2023.; A. Jayasree, M. Vari, P. Vishnu, and S. Medimi, "A comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles," 2022. [En línea]. Disponible en: https://www.diva-portal.org/smash/get/diva2:1707864/FULLTEXT02; J. Lamichhane, J. Aubertot, G. Begg, A. Birch, P. Boonekamp, S. Dachbrodt, J. Grønbech, M. Hovmøller, J. Jensen, L. Jørgensen, J. Kiss, P. Kudsk, A. Moonen, J. Rasplus, M. Sattin, J. Streito, A. Messéan, “Networking of integrated pest management: A powerful approach to address common challenges in agriculture”, J. Crop Protection, vol. 89, no. 1, pp. 139- 151, 2016. Doi: https://doi.org/10.1016/j.cropro.2016.07.011.; S. Azfar, A. Nadeem, A. Basit, “Pest detection and control techniques using wireless sensor network: a review”, J. Entomology and Zoology Studies, vol 3, no. 2, pp. 92-99, Jan. 2015.; J. Pretty, Z. Bharucha, “Integrated pest management for sustainable intensification of agriculture in Asia and Africa”, Insects, vol 6, no. 1, pp. 152-182, Mar. 2015. Doi: https://doi.org/10.3390/insects6010152.; D. Arcega, W. Lee, C. Lu, Y. Wu, P. Shih, S. Chen, J. Chung, T. Lin, “Edge-based wireless imaging system for continuous monitoring of insect pests in a remote outdoor mango orchard”, Computers and Electronics in Agriculture, vol 211, no. 108019, 2023. Doi: https://doi.org/10.1016/j.compag.2023.; H. Zhang, T. Islam, W. Lio, “Integrated pest management programme for cereal blast fungus Magnaporthe oryzae”, J. Integrative Agriculture, vol 21, no. 12, pp. 3420-3433. 2022. Doi: https://doi.org/10.1016/j.jia.2022.08.056.; D. Rustia, L. Chiu, C. Lu, Y. Wu, S. Chen, J. Chung, J. Hsu, T. Lin, “Towards intelligent and integrated pest management through an AIoT-based monitoring system”, Pest. Manage. Sci., vol 78, no. 10, pp. 4288–4302, 2022. Doi: https://doi.org/10.1002/ps.7048.; I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture", 2020 International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, pp. 723-727, 2020. Doi:10.1109/ICOSEC49089.2020.9215282.; S. Cecchi, S. Spinsante, A. Terenzi, S. Orcioni, “A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring”, Sensors, vol 20, no. 2726, pp. 1-20, 2020. Doi: https://doi.org/10.3390/s20092726.; F. Murphy, M. Magno, P. Whelan and E. Vici, "b+WSN: Smart beehive for agriculture, environmental, and honey bee health monitoring — Preliminary results and analysis," 2015 IEEE Sensors Applications Symposium (SAS), Zadar, Croatia, pp. 1-6, 2020. Doi:10.1109/SAS.2015.7133587.; P. Saha, V. Kumar, S. Kathuria, A. Gehlot, V. Pachouri and A. S. Duggal, “Precision Agriculture Using Internet of Things and Wireless Sensor Networks”, 2023 International Conference on Disruptive Technologies (ICDT), Greater Noida, India, pp. 519-522, 2023. Doi:10.1109/ICDT57929.2023.10150678.; R. Singh, R. Berkvens and M. Weyn, “Energy Efficient Wireless Communication for IoT Enabled Greenhouses”, 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, pp. 885-887, 2020. Doi:10.1109/COMSNETS48256.2020.9027392.; F. Kiani and A. Seyyedabbasi, “Wireless Sensor Network and Internet of Things in Precision Agriculture”, International Journal of Advanced Computer Science and Applications, vol 9, no. 6, pp. 99-103, 2018. Doi: http://dx.doi.org/10.14569/IJACSA.2018.090614.; O. Savale, A. Managave, D. Ambekar, S. Sathe, “Internet of Things in Precision Agriculture using Wireless Sensor Networks”, International Journal Of Advanced Engineering & Innovative Technology, vol 2, no. 3, pp. 1-4, Dec. 2015.; A. Sawant, J. Adinarayana and S. Durbha, “KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications”, 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, Canada, pp. 4090-4093, 2014. Doi:10.1109/IGARSS.2014.6947385.; C. Prakash, L. Singh, A. Gupta, S. Lohan, “Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation”, Sensors and Actuators A: Physical, vol 362, no. 114605, pp. 1- 25, 2023. Doi: https://doi.org/10.1016/j.sna.2023.114605.; H. Jawad, R. Nordin, S. Gharghan, A. Jawad, M. Ismail, “Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review”, Sensors, vol 17, no. 1781, pp. 1-4, 2017. Doi: https://doi.org/10.3390/s17081781.; E. Avşar, N. Mowla, “Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends”, Ad Hoc Networks, vol 136, no. 102982, pp. 1- 25, 2022. Doi: https://doi.org/10.1016/j.adhoc.2022.102982.; V. Starčević, M. Simić, V. Risojević and Z. Babić, “Integrated video-based bee counting and multi-sensors platform for remote bee yard monitoring”, 21st International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, pp. 1-6, 2022. Doi:10.1109/INFOTEH53737.2022.9751284.; H. Remli, K. Wan, N. Ismail, A. González, J. Corchado, M. Mohamad, “Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review”, Sensors, vol 23, no. 7, pp. 1-22, 2023. Doi: https://doi.org/10.3390/s23073752.; S. Qazi, B. Khawaja and Q. U. Farooq, “IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends”, in IEEE Access, vol 10, pp. 21219-21235, 2022. Doi:10.1109/ACCESS.2022.3152544.; A. AlZubi and K. Galyna, “Artificial Intelligence and Internet of Things for Sustainable Farming and Smart Agriculture”, in IEEE Access, vol 11, pp. 78686-78692, 2023. Doi:10.1109/ACCESS.2023.3298215.; G. Sagar, B. Aastha, K. Laxman, “An introduction of fall armyworm (Spodoptera frugiperda) with management strategies: a review paper”, Nippon Journal of Environmental Science, vol 1, no. 1010, pp. 1-12, 2020. Doi: https://doi.org/10.46266/njes.1010.; C. Nicolas, B. Naila and R. Amar, “Energy efficient Firmware Over The Air Update for TinyML models in LoRaWAN agricultural networks”, 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC), Wellington, New Zealand, pp. 21-27, 2022. Doi:10.1109/ITNAC55475.2022.9998338.; B. Miles, E. Bourennane, S. Boucherkha, S. Chikhi, “A study of LoRaWAN protocol performance for IoT applications in smart agriculture”, Computer Communications, vol. 164, pp. 148-157, 2020. Doi: https://doi.org/10.1016/j.comcom.2020.10.009.; D. Davcev, K. Mitreski, S. Trajkovic, V. Nikolovski and N. Koteli, “IoT agriculture system based on LoRaWAN”, 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS), Imperia, Italy, pp. 1-4, 2018. Doi:10.1109/WFCS.2018.8402368.; J. Tovar, C. Pareja, O. García, L. Gutiérrez, “Performance evaluation of LoRa technology for implementation in rural areas”, Dyna, vol 88, no. 216, pp. 69-78, Feb. 2021. Doi:10.15446/dyna.v88n216.88258.; P. Supanirattisai, K. Pimpin, W. Srituravanich and N. Damrongplasit, “Smart Agriculture Monitoring and Management System using IoT-enabled Devices based on LoRaWAN”, 2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Phuket, Thailand, pp. 679-682, 2022. Doi:10.1109/ITCCSCC55581.2022.9894956.; Y.M. Bar-On, R. Phillips, R. Milo, “The biomass distribution on earth”, Proc. Natl. Acad. Sci. U. S. A. 115, 6506–6511. 2018. https://doi.org/10.1073/pnas.1711842115; A. P. Genoud, J. Torsiello, M. Belson y B.P. Thomas, “Entomological photonic sensors: Estimating insect population density, its uncertainty and temporal resolution from transit data”, Ecological Informatics, 61, 101186, 2021. https://doi.org/10.1016/j.ecoinf.2020.101186; Murciaplaza, 2021. [En línea]. Disponible en https://murciaplaza.com/plagasenfermedades-cultivos-region-provocaron-120-millones-perdidas-2020.; N. Ardila, EL TIEMPO. 2020. [En línea]. Disponible en https://www.eltiempo.com/colombia/otras-ciudades/plaga-de-langostas-cultivosarrasados-en-los-llanos-orientales-por-una-plaga-noticias-hoy-518744; M. Huerga y S. San Juan, “El control de las plagas en la agricultura argentina. Estudio sectorial Agrícola Rural Banco Mundial/Centro de inversiones FAO”, Argentina. 2005; M. Vargas y D. Alvear, “Agricultura limpia: manejo racional de plaguicidas para control de plagas en invernaderos” [en línea]. Disponible en https://biblioteca.inia.cl/handle/123456789/6089; G. A. Holguin, B. L. Lehman, L. A. Hull, V. P. Jones y J. Park, “Electronic traps for automated monitoring of insect populations”. IFAC Proceedings Volumes, 43(26), 49- 54. 2010. https://doi.org/10.3182/20101206-3-JP-3009.00008; I. Rigakis, K. Varikou, A. Nikolakakis, Z. Skarakis, N. Tatlas y I. Potamitis, “The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner”. Computers and Electronics in Agriculture, 185, 106154. 2021, https://doi.org/10.1016/j.compag.2021.106154; I. Potamitis, I. Rigakis, N. Vidakis, M. Petousis y M. Weber, “Affordable Bimodal Optical Sensors to Spread the Use of Automated Insect Monitoring”. J. Sens. 2018. Article ID 3949415: https://doi.org/10.1155/2018/3949415; M. Weber, M. Geier, I. Potamitis, C. Pruszynski, M. Doyle, A. Rose, M. Geismar y J. Encarnacao. “The BG-counter, the first operative automatic mosquito counting device for online mosquito monitoring: field tests and technical outlook”. AMCA 2017 83rd Annual Meeting, 2017, pp 57.; M. Preti, F. Verheggen, S. Angeli, “Insect pest monitoring with camera-equipped traps: strengths and limitations”. J. Pest. Sci. 2020. https://doi.org/10.1007/s10340-020- 01309-4; N. Flórián, L. Gránicz, V. Gergócs, F. Tóth, M. Dombos, M. “Detecting Soil Microarthropods with a Camera-Supported Trap”. Insects. 11 (244) 2020. https://doi.org/10.3390/insects11040244; A. Gutierrez, A. Ansuategi, L. Susperregi, C. Tubío, I. Ranki ́c, L. Lenˇza, “Benchmarking of Learning Strategies for Pest Detection and Identification on Tomato Plants for Autonomous Scouting Robots Using Internal Databases”. J. Sens. 1–15. 2019, https://doi.org/10.1155/2019/5219471; E. Goldshtein, Y. Cohen, A. Hetzroni, Y. Gazit, D. Timar, L. Rosenfeld y A. Mizrach, “Development of an automatic monitoring trap for Mediterranean fruit fly (Ceratitis capitata) to optimize control applications frequency”. Computers and Electronics in Agriculture, 139, 115-125, 2017. https://doi.org/10.1016/j.compag.2017.04.022; B. Keswani, A. Mohapatra, A. Mohanty, A. Khanna, J. Rodriguez, D. Gupta, V. De Albuquerque, “Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms”. Neural Comput. Appl. 31: 277–292, 2019. https://doi.org/10.1007/s00521-018-3737-1; L. García, L. Parra, J.M. Jimenez, J. Lloret, P. Lorenz, “IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture”. Sensors, 20(4),1042, 2020, https://doi.org/10.3390/s20041042; F.A. Paredes-Sánchez, G. Rivera, V. Bocanegra-García, H. Y. Martínez-Padrón, M. Berrones-Morales, N. Niño-García y V. Herrera-Mayorga. “Advances in control strategies against Spodoptera Frugiperda. A review”. Molecules, 26(18), 5587, 2021. https://doi.org/10.3390/molecules26185587; Ecobertura., Spodoptera frugiperda (Smith) 2023. [En línea]. Disponible en https://ecobertura.es/spodoptera-frugiperda/; Weather Spark., 2023. Average Weather in Villavicencio, Colombia. [En línea]. Disponible en https://weatherspark.com/y/24273/Average-Weather-in-VillavicencioColombia-Year-Round; S. A. Vaca Vargas, “Automated greenhouse, instrumentation and fuzzy logic”, Visión Electrónica, vol. 14, no. 1, pp. 119–127, ene. 2020. https://doi.org/10.14483/22484728.15907; A. M. Molano-Gómez; A. F. Neira-Reyes; L. H. Correa-Salazar; E. Bernal-Alzate, “Topological alternatives for photovoltaic integration in rural areas”, Visión electrónica, vol. 13, no. 1, januaryjune 2019, pp. 24-32.; Wohlers, T. (2020). "Wohlers Report 2020: 3D Printing and Additive Manufacturing State of the Industry." Wohlers Associates, Inc.; McKinsey & Company. (2018). "The next frontiers for additive manufacturing." McKinsey Digital.; Stockholm Environment Institute, J. A. Vega Araújo, M. Muñoz Cabré, y Stockholm Environment Institute, «Energía solar y eólica en Colombia: panorama y resumen de políticas 2022», Stockholm Environment Institute, mar. 2023. doi:10.51414/sei2023.016.; Wohlers, T. (2019). "Wohlers Report 2019: 3D Printing and Additive Manufacturing State of the Industry." Wohlers Associates, Inc.; Chua, C. K., Leong, K. F., & Lim, C. S. (2014). "Rapid Prototyping: Principles and Applications." World Scientific Publishing Company.; Kruth, J. P., Leu, M. C., & Nakagawa, T. (2003). "Progress in additive manufacturing and rapid prototyping." CIRP Annals - Manufacturing Technology, 52(2), 525-540.; Gibson, I., Rosen, D. W., & Stucker, B. (2015). "Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing." Springer.; Cooper, R. G. (2019). "Product Leadership: Pathways to Profitable Innovation." Basic Books.; Ulrich, K. T., & Eppinger, S. D. (2015). "Product Design and Development." McGraw-Hill Education.; L. L. Hurtado-Cortés, J. A. Forero-Casallas, y V. E. Ruiz-Rosas, “Tecnologías automatizadas implementadas en la FMS HAS200”, Visión Electrónica, vol. 16, no. 1, jun. 2022.; McGrath, R. G. (2020). "Seeing Around Corners: How to Spot Inflection Points in Business Before They Happen." Houghton Mifflin Harcourt.; H. Beltrán-Cicery, D. Rojas-Sarmiento, y F. Barrera-Prieto, “Implementation of a manufacturing cell in assembly of Hanoi tower”, Visión Electrónica, vol. 16, no. 2, sep. 2022.; A. L. Vargas, "El profesional de mercadeo en tiempos de Inteligencia Artificial," IBM Colombia, 2017. [Online]. Available: https://www.revistapym.com.co/articulos/mercadeo/10851/el-profesional-de-mercadeo-entiempos-de-inteligencia-artificial.; C. F. Villa Gómez, "Mercadeo e Inteligencia Artificial," La República, 2020. [Online]. Available: https://www.larepublica.co/analisis/carlos-fernando-villa-gomez-400403/mercadeoe-inteligencia-artificial-3048716.; "Con el impulso de la Inteligencia Artificial, Colombia podría triplicar su productividad y aumentar su PIB hasta un 6.8%," Microsoft Noticias, 2019. [Online]. Available: https://news.microsoft.com/es-xl/con-el-impulso-de-la-inteligencia-artificial-colombia-podriatriplicar-su-productividad-y-aumentar-su-pib-hasta-un-6-8/; H. Wong, "Avances y Problemas en la Inteligencia Artificial de Colombia 2022," LinkedIn, 2022. [Online]. Available: https://es.linkedin.com/pulse/avances-y-problemas-en-lainteligencia-artificial-de-colombia-wong.; "IA y ChatGPT transformarán las prácticas de mercadeo," Portafolio, 2023. [Online]. Available: https://www.portafolio.co/tendencias/ia-y-chatgpt-transformaran-las-practicas-demercadeo-577916.; P. T. Hernández, "El Marco Ético para la Inteligencia Artificial en Colombia: una oportunidad para implementar proyectos de IA que beneficien a toda la ciudadanía," 2022. [Online]. Available: https://www.ccit.org.co/articulos-tictac/el-marco-etico-para-la-inteligencia-artificialen-colombia-una-oportunidad-para-implementar-proyectos-de-ia-que-beneficien-a-toda-laciudadania/.; "Inteligencia artificial: definición, historia, usos, peligros," DataScientest, 2023. [Online]. Available: https://datascientest.com/es/inteligencia-artificial-definicion.; A. Flores, "Conoce la historia del marketing digital y su evolución hasta el día de hoy," Crehana, 2021. [Online]. Available: https://www.crehana.com/blog/transformaciondigital/historia-del-marketing-digital/.; "Evolución del internet y mercadotecnia digital," Preceden, 2023. [Online]. Available: https://www.preceden.com/timelines/841917-evoluci-n-del-internet-y-mercadotecnia-digital.; "Colombia se adhiere a acuerdo sobre Inteligencia Artificial ante los países de la OCDE," Mintic, 2019. [Online]. Available: https://www.ccb.org.co/Clusteres/Cluster-de-Software-yTI/Noticias/2019/Mayo-2019/Colombia-se-adhiere-a-acuerdo-sobre-Inteligencia-Artificialante-los-paises-de-la-OCDE.; A. de Ignacio, "La Inteligencia Artificial en el marketing digital," 2023. [Online]. Available: https://www.cyberclick.es/numerical-blog/la-inteligencia-artificial-en-el-marketing-digital.; Meisam Mahdavi, Mohammad S. Javadi, João P.S. Catalão, Integrated generationtransmission expansion planning considering power system reliability and optimal maintenance activities, International Journal of Electrical Power & Energy Systems, Volume 145, 2023, 108688, ISSN 0142- 0615,https://doi.org/10.1016/j.ijepes.2022.108688. (https://www.sciencedirect.com/science/article/pii/S0142061522006846); Long Ding, Hong Wang, Kai Kang, Kai Wang, A novel method for SIL verification based on system degradation using reliability block diagram, Reliability Engineering & System Safety, Volume 132, 2014, Pages 36-45, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2014.07.005. (https://www.sciencedirect.com/science/article/pii/S0951832014001604); ISO 55001:2014 Asset Management. Management systems – RequirementsThe British Standards Institution. 2014.; B. Dhilon, “Applied Reliability and Quality Fundamentals, Methods and Procedures, New Jersey: Springer, 2007.; Mohsen Firouzi, Abouzar Samimi, Abolfazl Salami, Reliability evaluation of a composite power system in the presence of renewable generations, Reliability Engineering & System Safety, Volume 222, 2022, 108396, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108396. (https://www.sciencedirect.com/science/article/pii/S0951832022000710); R. Yajun and M. Xiurui, "The reliability evaluation of the power system containing wind farm using the improved state space partition method," 2014 International Conference on Power System Technology, Chengdu, China, 2014, pp. 36-41, doi:10.1109/POWERCON.2014.6993498.; S. Anbazhagan, N. Kumarappan, Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT, Energy Conversion and Management, Volume 78, 2014, Pages 711-719, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2013.11.031.; Xudong Fan, Xijin Zhang, Xiong Bill Yu, Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks, Reliability Engineering & System Safety, Volume 236, 2023,109088, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109088. (https://www.sciencedirect.com/science/article/pii/S0951832023000030); Wei Qiu, Qiu Tang, Zhaosheng Teng, Wenxuan Yao, Jun Qiu, Failure rate prediction of electrical meters based on weighted hierarchical Bayesian,Measurement, Volume 142, 2019, Pages 21-29, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2019.04.062. (https://www.sciencedirect.com/science/article/pii/S026322411930380X; C.Ramírez, “Phyton para finanzas CURSO PRÁCTICO”, Bogotá: Ediciones de la U, pp.223-233,2021.; C.Ramírez, “Phyton para finanzas CURSO PRÁCTICO”, Bogotá: Ediciones de la U, pp.279-311,2021.; J. Stock, “Introducción a la econometría”, Madrid: Pearson educación S.A, pp.373- 411, 2012.; G. Box, “Time Series Analysis Forecasting and Control”, New Jersey: John Wiley & Sons Ltd, pp. 2-43, 2016.; S. Raschka, “Machine Learning con PyTorch y Scikit-Learn”, Madrid: Alphaeditorial, pp.290-307, 2023.; Yanhui CHEN, Mengmeng Ma, Yuye Zou, Forecasting hourly electricity demand with nonparametric functional data analysis,Procedia Computer Science, Volume 214, 2022, Pages 428-436, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.11.195. (https://www.sciencedirect.com/science/article/pii/S1877050922019056); Ye Zhu, Shiwen Xie, Yongfang Xie, Xiaofang Chen, Temperature prediction of aluminum reduction cell based on integration of dual attention LSTM for non-stationary subsequence and ARMA for stationary sub-sequences, Control Engineering Practice, Volume 138, 2023,105567, ISSN 0967-0661, https://doi.org/10.1016/j.conengprac.2023.105567. (https://www.sciencedirect.com/science/article/pii/S0967066123001363); Shao, Y., Zhang, D., Chu, H., Zhang, X., & Rao, Y. (2021). A Review of YOLO Object Detection Based on Deep Learning.; Bhasin, S. (2019). Real-time Object Detection with YOLO, OpenCV and Python.; Suresh et al. (2020). Object Detection with YOLO for Intelligent Traffic Monitoring System.; Liu, Y., Shi, Q., Guo, W., & Liao, W. (2020). A Real-time, Mobile-object Detection Approach for Unmanned Aerial Vehicle Based Forest Fire Surveillance System.; Jiang, P., Ergu, D., Liu, F., Cai, Y., & Ma, B. (2022). A Review of YOLO Algorithm Developments.; Mauro Tucci, A. B. (s/f). "YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Selection in Aerial Imagery".; Sharma, A., Pathak, J., Prakash, M., & Singh, J. N. (2020). Object Detection using OpenCV and Python. International Journal of Innovative Research in Computer and Communication Engineering, 8(6), 2736-2741.; “Procesamiento de Imágenes y Visión Artificial con MATLAB Video,” Mathworks.com, 2021. https://la.mathworks.com/videos/image-processing-and-computer-vision-with-matlab1597884648964.html (accessed Jul. 25, 2023).; Ricardo Alirio Gonzalez, R. Ferro, and Daríoo Liberona, “Government and governance in intelligent cities, smart transportation study case in Bogotá Colombia,” vol. 11, no. 1, pp. 25– 34, Mar. 2020, doi: https://doi.org/10.1016/j.asej.2019.05.002.; Beatriz Elena Pineda, Claudia Helena Muñoz, & Gil, H. (2018). Aspectos relevantes de la movilidad y su relación con el medio ambiente en el Valle de Aburrá: una revisión. Ingeniería Y Desarrollo, 36(2), 489–508. https://www.redalyc.org/journal/852/85259689013/html/; IA por el Planeta: Destacando las innovaciones de IA para la movilidad sostenible y las ciudades inteligentes. (2023). Unesco.org. https://www.unesco.org/es/articles/ia-por-elplaneta-destacando-las-innovaciones-de-ia-para-la-movilidad-sostenible-y-las-ciudades; Gómez Zapata, C. A. (2019). Reconocimiento de objetos del hogar, usando redes neuronales convolucionales para personas con discapacidad visual. Revista Científica de Ingeniería y Tecnología, 2(2), 1-10. https://dialnet.unirioja.es/descarga/articulo/7436051.pdf.; Olabe, X. B. (s/f). REDES NEURONALES ARTIFICIALES Y SUS APLICACIONES. Ehu.eus. Recuperado el 8 de julio de 2023, de URL: https://ocw.ehu.eus/pluginfile.php/40137/mod_resource/content/1/redes_neuro/contenidos/pd f/libro-del-curso.pdf; Murgui, J., & García-Sánchez, A. J. (2018). Clasificación y reconocimiento de imágenes con redes neuronales para aplicaciones industriales. URL: https://riunet.upv.es/bitstream/handle/10251/115464/Murgui.pdf?sequence=1; Ortiz, G., & Sánchez, A. I. (2020). Emprendimiento y tecnologías de la información y la comunicación en Bogotá. Cuadernos de Administración, 36(67), 199-211.; Torres, J., & Acosta, H. (2019). La innovación en el ecosistema emprendedor de Bogotá. Cuadernos de Administración, 35(64), 251-262.; Uribe, F., & Guzmán, J. (2021). La colaboración público-privada en el fomento de la innovación en Bogotá: el caso de la identificación de objetos en el contexto vial. Revista Internacional de Gestión y Economía Aplicada, 11(1), 89-101.; Centro de Investigación de la Universidad Distrital Francisco José de Caldas. (2023). Udistrital.edu.co. https://revistas.udistrital.edu.co/index.php/visele/article/view/18942/18701; Chiroma, R. C. U. (2021). Vehicle detection, counting, and classification in traffic videos: A survey. IEEE Transactions on Intelligent Transportation Systems, 22(10), 3773-3785. [20] Rao, S. S. (2018). Vehicle detection and identification using computer vision and deep learning techniques. IEEE Transactions on Intelligent Transportation Systems, 19(10), 2827- 2836.; Akhand, M. A. H. (2019). Vehicle Recognition from License Plate Number using Deep Learning. arXiv preprint arXiv:1903.09203.; Sandra Milena García Ávila, Cristian Alexander Vega Camacho, José Vicente Cadena López, Ricardo Alirio González Bustamante, Paola Andrea Mateus Abaunza. (2021). Diseño y aplicación de una herramienta para identificar y clasificar motocicletas mediante una red neuronal convolucional. researchgate.net. URL: https://doi.org/ISBN:978-958-53278-6-3; valentynsichkar, “Traffic Signs Detection by YOLO v3, OpenCV, Keras,” Kaggle.com, Apr. 15, 2022. https://www.kaggle.com/code/valentynsichkar/traffic-signs-detection-by-yolo-v3- opencv-keras (accessed Jul. 25, 2023).; Motor Colombia. (2022, February 23). 7.270 muertos en accidentes de tránsito en 2021. Motor Colombia; Motor Colombia. URL: https://www.motor.com.co/industria/7.270-muertos-enaccidentes-de-transito-en-2021-20220124-0001.html; R. Jiménez Moreno, O. Avilés, y D. M. Ovalle, “Red neuronal convolucional para discriminar herramientas en robótica asistencial”, Vis. Electron., vol. 12, no. 2, pp. 208–214, oct. 2018. https://doi.org/10.14483/22484728.13996; L. L. Hurtado-Cortés y J. A. Forero-Casallas, “Identification and fault detection in actuator using NN-NARX”, Vis. Electron., vol. 2, no. 2, pp. 304–312, dic. 2019. https://doi.org/10.14483/22484728.18432; Propia. (2023). Fragmento del conjunto de imágenes de entrenamiento para YOLO [Figura].; Propia. (2023). Matriz de confusión de una capacitación sobre imágenes de Camiones. [Figura].; Propia. (2023). Curva de precisión-confianza para el entrenamiento de imágenes de Camiones. [Figura].; Propia. (2023). Salida "Results.png" sobre el entrenamiento de imágenes de Camiones. [Figura].; Propia. (2023). Salida "Train.png" sobre el entrenamiento de imágenes de Camiones. [Figura].; Propia. (2023). Salida "Val.png" sobre el entrenamiento para Camiones. [Figura]; Propia. (2023). Salida de los gráficos de correlación de etiquetas para el entrenamiento de imágenes de Camiones. [Figura].; Propia. (2023). Esquema de entrenamiento general utilizado para el reconocimiento de imágenes con YOLO. [Figura]; Anagnoste, Sorin. "Robotic Automation Process – The operating system for the digital enterprise" Proceedings of the International Conference on Business Excellence, vol.12, no.1, 2018, pp.54-69. https://doi.org/10.2478/picbe-2018-0007; C. T. Kaya, M. Turkyilmaz, & B. Birol, “Impact of RPA Technologies on Accounting Systems”. Muhasebe ve Finansman Dergisi, pp. 235–250, Apr. 2019, https://doi.org/10.25095/mufad.536083; Morgan.O’ Mara., “How Much Paper is Used in One Day”, Record Nations, blog. https://www.recordnations.com/blog/how-much-paper-is-used-in-one-day/; Thomas Teunissen. Success factors for RPA application in small and medium sized enterprises. University of Twente. From https://essay.utwente.nl/77592/1/Teunissen_BA_EEMCS.pdf; James Barlow. 2023. OCRmyPDF documentation. Read the Docs. From: https://ocrmypdf.readthedocs.io/en/latest/index.html; T Malathi, et al. 2021. An Experimental Performance Analysis on Robotics Process Automation (RPA) With Open Source OCR Engines: Microsoft Ocr And Google Tesseract OCR. IOP Conf. Ser.: Mater. Sci. Eng. 1059 012004. https://doi.org/10.1088/1757-899X/1059/1/012004; Arkadiusz Januszewski et al. 2021. Benefits of and Obstacles to RPA Implementation in Accounting Firms. Procedia Computer Science 192 (2021). 4672–4680. https://doi.org/10.1016/j.procs.2021.09.245; Madakam, Somayya, Holmukhe, Rajesh M., and Jaiswal, Durgesh Kumar. (2019). The Future Digital Work Force: Robotic Process Automation (RPA). JISTEM - Journal of Information Systems and Technology Managements, 16, e201916001.https://doi.org/10.4301/S1807-1775201916001; Ribeiro, J., Lima, R., Paiva, S. (2021). Document Classification in Robotic Process Automation Using Artificial Intelligence—A Preliminary Literature Review. In: Sharma, H., Gupta, M.K., Tomar, G.S., Lipo, W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_18; Leslie Willcocks, John Hindle & Mary Lacity. 2019. Keys to RPA Success - Executive Research Report. Knowledge Capital Partners. From: https://engineering.report/Resources/Whitepapers/9a46b779-a4a1-4188-8a1deb769ba4fbb1_Keys-RPA-Success.pdf; J. C. Diaz, D. Zunino, y G. Nicolino, “Análisis de la extracción de datos personales sin autorización de un dispositivo IoT”, Visión Electrónica, vol. 16, no. 2, dic. 2022.; S. Scheuber, and M. Vanhoy, "Emotional and Neurological Responses to Timbre in Electric Guitar and Voice," Paper 10505, (2021 May.).; J. Stanhope, and P. Weinstein, “The human health effects of singing bowls: A systematic review”, Complementary therapies in medicine, 51, 102412, (2020 Apr.).; C. J. Bless, “Análisis de la actividad EEG durante una sesión de estimulación multisensorial en una sala Snoezelen”, Universidad de Valladolid. Escuela Técnica Superior de Ingenieros de Telecomunicación, 2020.; L. Gong, M. Li, T. Zhang, W. Chen, “EEG emotion recognition using attention-based convolutional transformer neural network”, Biomedical Signal Processing and Control, Vol. 84, 2023.; C. Zeng, W. Lin, N. Li, Y. Wen, Y. Wang, W. Jiang, J. Zhang, H. Zhong, X. Chen, W. Luo, et al. “Electroencephalography (EEG)-Based Neural Emotional Response to the Vegetation Density and Integrated Sound Environment in a Green Space”, Forests, 2021.; S. N. Safder, M. U. Akram, M. N. Dar, A. A. Khan, S. G. Khawaja, A. R. Subhani, I. K. Niazi, S. Gul, “Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain”, Biomedical Signal Processing and Control, Vol. 83, 2023.; A. E. Nieto-Vallejo, O. F. Ramírez-Pérez, L. E. Ballesteros-Arroyave, and A. Aragón, “Design of a Neurofeedback Training System for Meditation Based on EEG Technology”, Revista Facultad de Ingeniería, 30(55), 2021; H.Y. Huang & P.C. Lo (2019) EEG dynamics of experienced Zen meditation practitioners probed by complexity index and spectral measure, Journal of Medical Engineering & Technology, 33:4, 314-321, DOI:10.1080/03091900802602677.; F. Ramos-Argüelles, G. Morales, S. Egozcue, R.M. Pabón, M.T. Alonso, “Técnicas básicas de electroencefalografía: principios y aplicaciones clínicas”, vol. 32, 2009.; J. Zain, “El uso de cuencos tibetanos como recurso vibroacústico en Musicoterapia Receptiva”, XVIII Forum estadual de Musicoterapia, 2012.; A. Ramírez Sánchez, C. Espinosa Calderón, A. F. Herrera Montenegro, E. Espinosa Calderón, A. Ramírez Moyano, “Beneficios de la psicoeducación de entrenamiento en técnicas de relajación en pacientes con ansiedad”, Revista Enfermería Docente, 2014.; M. Tobal, “Actividad Cerebral y Deporte: Un Estudio Mediante Mapas de Actividad Eléctrica Cerebral”, Universidad Complutense de Madrid, 1992.; EMOTIV. (2023, 6 abril). EMOTIV Insight 2 with 5 Channel EEG Headset %7C EMOTIV. https://www.emotiv.com/product/emotiv-insight-5-channel-mobile-brainwear/.; Sánchez, M. A. C. Lozano, M. S. G. (2016). El sonido que sana: Manual práctico de sanación a través del sonido. LA ESFERA DE LOS LIBROS, S.L.; Singing Bowl Tones and Frequencies: Complete Guide (2022). (s. f.). Shanti Bowl. https://www.shantibowl.com/blogs/blog/singing-bowl-tones-and-frequencies-complete-guide; Torrades, S. (2007, 1 noviembre). Estrés y burn out. Definición y prevención %7C Offarm. de:https://www.elsevier.es/es-revista-offarm-4-articulo-estres-burn-out-definicion-prevencion13112896; Domingues Hirsch, C., Devos Barlem, E. L., De Almeida, L. K., Tomaschewski Barlem, J. G., Lerch Lunardi, V., & Marcelino Ramos, A. (2018). Stress triggers in the educational environment from the perspective of nursing students. Texto & Contexto Enfermagem, 27(1), e0370014.; Zárate Depraect, N. E., Soto Decuir, M. G., Castro Castro, M. L., & Quintero Salazar, J. R. (2017). Estrés académico en estudiantes universitarios: Medidas preventivas. Revista de Alta Tecnología y la Sociedad, 9(4), 92-98.; Barlett. (1991). Stereo Microphone Techniques. Stoneham, Massachusetts: Reed Publishing (USA).; Holman, T. (2008). Sourround Sound: Up And Running. Burlington, Massachusets: Elsevier Inc.; Howard, D., & Angus, J. (2000). Acoustics and Psychoacoustics (2nd ed.). Routledge. https://doi.org/10.4324/9780080498522.; Burrough, P. A., & McDonnell, R. A. (1998). Principles of geographical information systems (2a ed.). Clarendon Press.; D. S. Garzón-Ramírez, M. S. Sanabria-Guio, y J. D. Cely-Fajardo, “Geolocation system and vehicular analysis for motorcyclists”, Vis. Electron., vol. 2, no. 1, pp. 95–106, mar. 2019. https://doi.org/10.14483/22484728.18416; Home. (2022, abril 15). Open Geospatial Consortium. https://www.ogc.org; Google. (s/f-b). Google.com. Recuperado el 31 de agosto de 2023, de https://earth.google.com/; Documentation. (s/f). Qgis.org. Recuperado el 15 de septiembre de 2023, de https://www.qgis.org/en/docs/index.html; GDAL — GDAL documentation. (s/f). Gdal.org. Recuperado el 15 de septiembre de 2023, de https://gdal.org/; GIS mapping software, location intelligence & spatial analytics. (s/f). Esri.com. Recuperado el 15 de septiembre de 2023, de https://www.esri.com/enus/home; P. F. Martín-Gómez, J. E. Rangel-Díaz, J. O. Montoya-Gómez, y J. L. RubianoFernández, “Automation of greenhouse pesticide application: design and construction”, Visión Electrónica, vol. 2, no. 1, pp. 129–133, mar. 2019. https://doi.org/10.14483/22484728.18419; F. A. Molina-Guzmán, S. A. Torres-Castillo, G. A. López-Martínez, “Use of wastewater and waste from Colombian pacific for electrical generation”, Visión Electrónica, vol. 16, no. 1, 2022.; B. Smith, A., & Johnson, “Automated Fruit Classification for Quality Control,” J. Agric. Technol., vol. 10, no. 4, pp. 1015–1027, 2018.; C. G. Peñaranda, “ANÁLISIS DE COSTOS DE LA PRODUCCIÓN DE DURAZNO (PRUNUS PÉRSICA) EN LA PROVINCIA DE PAMPLONA (NORTE DE SANTANDER),” Rev. la Fac. Ciencias Económicas y Empres., pp. 145–162, 2012.; 2. Camara de Comercio de Medellín, “HERRAMIENTAS EMPRESARIALESAUTOMATIZACIÓN DE LOS PROCESOS INDUSTRIALES,” 2018. http://herramientas.camaramedellin.com.co/Inicio/Buenaspracticasempresariales/Bibliot ecaProduccónyOperaciones/Automatizaciondelosprocesosindustriales.aspx.; C. García, A. López, and F. Fernández, “Deep Learning-Based Fruit Recognition and Classification System for Precision Agriculture,” Comput. Electron. Agric., vol. 180, p. 105832, 2020.; R. Patel, A. Sharma, and S. Kumar, “Real-time Fruit Recognition and Grading System for Robotic Harvesting,” Comput. Electron. Agric., vol. 157, pp. 306–316, 2019.; M. Megajothi, C. Meenakshi, and R. Rajakumari, “Automation of Fruit Quality Analysis System,” in 2nd International Conference on Applied Soft Computing Techniques C., 2022, pp. 424–425.; W. M. Syahrir, A. Suryanti, and C. Connsynn, “Color grading in Tomato Maturity Estimator using image processing technique,” in 2009 2nd IEEE International Conference on Computer Science and Information Technology, 2009, pp. 276–280, doi:10.1109/ICCSIT.2009.5234497.; Z. Ma, J.-H. Xue, A. Leijon, Z.-H. Tan, Z. Yang, and J. Guo, “Decorrelation of Neutral Vector Variables: Theory and Applications,” IEEE Trans. Neural Networks Learn. Syst., vol. 29, no. 1, pp. 129–143, 2018, doi:10.1109/TNNLS.2016.2616445.; L. Zhang, J. Jia, G. Gui, X. Hao, W. Gao, and M. Wang, “Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot,” IEEE Access, vol. 6, pp. 67940–67950, 2018, doi:10.1109/ACCESS.2018.2879324.; J. Chen, Z. Liu, H. Wang, A. Núñez, and Z. Han, “Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network,” IEEE Trans. Instrum. Meas, vol. 67, no. 2, pp. 257–269, 2018.; H. Yu, Z.-H. Tan, Z. Ma, R. Martin, and J. Guo, “Spoofing detection in automatic speaker verification systems using DNN classifiers and dynamic acoustic features,” IEEE Trans. Neural Netw. Learn. Syst., vol. 29, no. 10, pp. 4633–4644, 2018.; and Y. A. X. Sun, G. Gui, Y. Li, R. P. Liu, “A novel deep neural network with feature reuse for Internet of Things,” IEEE Internet Things.; B. S and U. J, “Deep fruit detection in orchards,” IEEE Int. Conf. Robot. Autom, no. May, pp. 3626–3633, 2017.; Vanguardia, “¿Como Puede la inteligencia artificial mejorar nuestras vidas?,” 2016. http://www.lavanguardia.com/vida/20161218/412710361329/como-puede-lainteligencia-artificial-mejorar-nuestras-vidas.html.; C. Oehninger, “El Impacto de la Robótica y la Automatización del Empleo en Uruguay,” 2018.; R. Terminio and E. Rimbau-Gilabert, “La digitalización del entorno de trabajo: la llegada de la robótica, la automatización y la inteligencia artificial (RAIA) desde el punto de vista de los Informal learning and work View project Creative industry network of entrepreneurs-CINet View project,” no. May, 2018, [Online]. Available: https://www.researchgate.net/publication/325059719.; D. BROUGHAM and J. HAAR, “Employee assessment of their technological redundancy,” Labour y Ind., 2017.; McKinsey And Company, “UN FUTURO QUE FUNCIONA: AUTOMATIZACIÓN, EMPLEO Y PRODUCTIVIDAD,” New York, 2017. doi:10.1787/agr_outlook-2017-3-es; Agua Libre. "Lo que necesitas saber sobre la Telemetría," 2021. Disponible en: https://agualibre.cl/telemetria-2/; D. J. Cardoso Ortegón and J. D. Ramírez Tovar, "Propuesta de un sistema de potabilización de aguas subterráneas, caso de estudio pozo finca el arbolito-ubicado en la vereda Caimanera en el municipio de el Espinal - Tolima teniendo en cuenta la caracterización física, química y microbiológica," Proyecto de grado, Universidad Piloto de Colombia, 2021. Disponible en: http://repository.unipiloto.edu.co/handle/20.500.12277/10116.; A. Jiménez, F. Velásquez, y S. Puente, “Sistema inteligente de prescripción de riego agrícola basado en redes de sensores y modelado de cultivos”, Visión Electrónica, vol. 17, no. 1, feb. 2023.; Digital Senses. "Telemetría y Monitoreo efectivo de Pozos de Agua," Disponible en: https://www.digitalsenses.io/medidores-de-pozos-de-agua/; E. M. González-Clavijo, J. C. Contreras-Niño, y H. J. Eslava-Blanco, “Automatización del vivero Semigar”, Visión Electrónica, vol. 16, no. 1, jun. 2022.; Integra Instrumentación. "Instalación de telemetría para pozos," Disponible en: https://integrainstrumentacion.cl/instalacion-de-telemetria-para-pozos/; F. C. Castañeda-Árias y K. S. Novoa-Roldan, “Remote crops: case study of critical variables”, Visión. Electrónica, vol. 16, no. 1, ene. 2022.; Nettra. "Monitoreo de pozos de extracción de agua subterránea," Disponible en: https://nettra.tech/monitoreo-de-pozos-de-extraccion-de-agua-subterranea/; B. Böttcher, J. Badinger, N. Moriz, and O. Niggemann, “Design of industrial automation systems — Formal requirements in the engineering process,” in 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013, pp. 1–4. doi:10.1109/ETFA.2013.6648148.; N. Papakonstantinou, J. Karttunen, S. Sierla, and V. Vyatkin, “Design to automation continuum for industrial processes: ISO 15926 – IEC 61131 versus an industrial case,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019, pp. 1207–1212. doi:10.1109/ETFA.2019.8869325.; J. E. Martinez Baquero, “Diseño y construcción de equipo automatizado para separar mezclas,” Visión Electrónica Más que un estado sólido, vol. 8, no. 2, pp. 87–93, 2014, [Online]. Available: https://revistas.udistrital.edu.co/index.php/visele/article/view/9880; M. A. Monzón Herrera, “Diseño de un sistema dedicado al monitoreo y automatización de parámetros de proceso en una línea de producción de cartones moldeados (Doctoral dissertation).,” Universidad de San Carlos de Guatemala, 2019.; C. M. Bustamante Álvarez, J. E. Martínez Baquero, and C. Torres Gómez, “SCADA System of Physicochemical Variables in a Mixture Separator,” Rev. Inge CUC, vol. 11, no. 1, pp. 85–98, 2015, doi:10.17981/ingecuc.11.1.2015.09.; F. G. Astudillo, “Diseño y simulación de un control automático para una cámara de fermentación de pan por medio de un automáta programable,” ESCUELA POLITÉCNICA NACIONAL, 2010. [Online]. Available: https://bibdigital.epn.edu.ec/handle/15000/2231; P. A. Quinteros, M. C. Zurita, N. C. Zambrano, and L. M. Esthela, “Automatización de los procesos industriales,” J. Bus. Entrep. Stud., vol. 4, no. 2, pp. 123–131, 2020, [Online]. Available: https://dialnet.unirioja.es/servlet/articulo?codigo=7888290; F. F. Cando Herrera and G. F. Medina Lescano, “Implementación de un sistema de control y monitoreo de nivel de agua para el sistema de riego Chambo –Guano en la provincia de Chimborazo,” 2021, [Online]. Available: https://www.dspace.espol.edu.ec/bitstream/123456789/56415/1/T-112772 Cando - Medina.pdf; J. D. Murcia Velez and L. F. Chacón Segura, “Diseño de un sistema automático de cultivo hidropónico para forraje verde,” Universidad de La Salle, 2018. [Online]. Available: https://ciencia.lasalle.edu.co/ing_automatizacionF.; P. Radu and L. Gheorghe, “Implementation of an automatic control system of technological process for disinfection of drinking water from treatment plants,” in Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics, 2012, pp. 144–149. doi:10.1109/AQTR.2012.6237691.; A. Chiavola, C. Di Marcantonio, M. D’Agostini, S. Leoni, and M. Lazzazzara, “A combined experimental-modeling approach for turbidity removal optimization in a coagulation– flocculation unit of a drinking water treatment plant,” J. Process Control, vol. 130, p. 103068, 2023, doi: https://doi.org/10.1016/j.jprocont.2023.103068.; E. A. Al-Sum, A. Sattar, and M. A. Aziz, “Automation of water treatment plants and its application in power and desalination plants,” Desalination, vol. 92, no. 1–3, 1993, doi:10.1016/0011-9164(93)80087-4.; H. Gulhan et al., “Use of water treatment plant sludge in high-rate activated sludge systems: A techno-economic investigation,” Sci. Total Environ., vol. 901, p. 166431, 2023, doi: https://doi.org/10.1016/j.scitotenv.2023.166431.; A. Ortega Ramírez, L. Cáceres Durán, and L. Castiblanco Molina, “INTRODUCCIÓN AL USO DE COAGULANTES NATURALES EN LOS PROCESOS DE POTABILIZACIÓN DEL AGUA,” Rev. Ambient. Agua, aire y suelo., vol. 11, no. 2, pp. 1–14, 2020, doi: https://doi.org/10.24054/aaas.v11i2.873.; H. A. Díaz Therán, M. Hincapié, L. Montoya, L. Galeano, A. Balaguera, and G. Carvajal, “Evaluación de la sostenibilidad para un sistema individual de potabilización de agua encomunidades rurales a través de la metodología de ACV,” in Encuentro Internacional de Educación en Ingeniería, 2023, 2023, p. 3128. [Online]. Available: 10.26507/paper.3128; R. C. Urban, L. Y. K. Nakada, and R. de L. Isaac, “A system dynamics approach for largescale water treatment plant sludge management: A case study in Brazil,” J. Clean. Prod., vol. 419, p. 138105, 2023, doi: https://doi.org/10.1016/j.jclepro.2023.138105.; N. Unidas, “Objetivo 6: Garantizar la disponibilidad de agua y su gestión sostenible y el saneamiento para todos.,” OBJETIVOS DE DESARROLLO SOSTENIBLE, 2015. https://www.un.org/sustainabledevelopment/es/water-and-sanitation/; C. J. Macuada, A. M. Oddershede, and L. E. Quezada, “DM methodology for automating technology system in water treatment plants,” in 2018 7th International Conference on Computers Communications and Control (ICCCC), 2018, pp. 265–269. doi:10.1109/ICCCC.2018.8390469.; M. Alissa, S. Al-Harahshah, and M. Ibrahim, “Monitoring of Surface Water Quality in King Talal Dam Using GIS: A Case Study,” Iraqi Geol. J., vol. 56, no. 2, pp. 36–47, 2023, doi:10.46717/igj.56.2A.3ms-2023-7-12.; F. Villacís Chimborazo and W. . Zambrano Vélez, “AUTOMATIZACIÓN DEL PROCESO DE TRATAMIENTO DE AGUAS RESIDUALES EN TECNOVA S . A .”,” Universidad Politécnica Salesiana. Ecuador, 2013. [Online]. Available: https://dspace.ups.edu.ec/handle/123456789/4118; M. Portección Social and M. Ambiente Vivienda y Desarrollo Territorial, Resolución 2115 de 2007, vol. 1. 2007, p. 23. [Online]. Available: https://www.minambiente.gov.co/images/GestionIntegraldelRecursoHidrico/pdf/Legislac ión_del_agua/Resolución_2115.pdf.; Ministerio de Desarrollo Económico, “RAS 2000, Titulo A - Aspectos generales de los sistemas de agua potable y saneamiento básico. Ministerio de Vivienda Ciudad y Territorio Colombia,” Reglam. Técnico Del Sect. Agua Potable Y Saneam. Basico, p. 114, 2000.; G. Corporación Alemana, “Manual para la cloración del agua en sistemas de abastecimiento de agua potable en el ambito rural,” Corporación Alem. para la Coop. Int., p. 91, 2017, [Online]. Available: https://sswm.info/sites/default/files/reference_attachments/GIZ 2017. Manual para la cloración del agua en sistemas de abastecimiento de agua potable.pdf; AGUAVIVA, “Sistema de Acueducto,” 2021. https://www.aguavivaesp.gov.co/acueducto/; Anyasi, T. A., Jideani, A. I. O., & Mchau, G. (2013). Functional properties and postharvest utilization of commercial and noncommercial banana cultivars. Comprehensive Reviews in Food Science and Food Safety, 12(5), 509-522. https://doi.org/10.1111/1541-4337.12025; Al-Dairi, M., Pathare, P. B., Al-Yahyai, R., Jayasuriya, H. P. W., & Al-Attabi, Z. (2023). Postharvest Quality, Technologies, and Strategies to Reduce losses along the supply Chain of Banana: a review. Trends in Food Science and Technology, 134, 177-191. https://doi.org/10.1016/j.tifs.2023.03.003; S. A. Vaca Vargas, O. L. García Navarrete, y M. A. Colorado Gómez, “Diseño y construcción de un sistema acuapónico automatizado para cultivo acuaponico NFT de Carpa Roja y Lechuga Crespa”, Visión Electrónica, vol. 17, no. 1, ene. 2023.; Lidyce, Q. L. (s. f.). Elementos teóricos y prácticos sobre la bioimpedancia eléctrica en salud.http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1025- 02552016000500014; Caicedo-Eraso, J.C., Díaz-Arango, F.O., & Osorio-Alturo, A. (2019). Espectroscopia de impedancia eléctrica aplicada al control de la calidad en la industria alimentaria. http://www.scielo.org.co/pdf/ccta/v21n1/0122-8706-ccta-21-01-00100.pdf; Montes, L.M., Mejía-Gutiérrez, L.F., & Caicedo-Eraso, J.C. (2021). Espectroscopia de impedancia eléctrica, una herramienta para aplicaciones biotecnológicas con Lactobacillus casei ATCC 393. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0123- 34752021000100055; Ocampo Hernández, Ó.H., Ruiz Villa, C.A., Aristizábal Botero, W., Olarte Echeverri, G., Gallego, P.A. (2017). Caracterización del tejido columnar del cérvix mediante espectroscopia de impedancia eléctrica y modelado computacional. Biosalud. https://www.semanticscholar.org/paper/216f9823cf95e0f9043636a052f656c4d318eed1; García Bello, J., Batista Luna, T., & Rodríguez de la Cruz, N. (2023). Principios básicos y uso en medicina de la espectroscopia de impedancia. Revista Cubana de Medicina Militar, 52(2), e02302316. Recuperado de https://revmedmilitar.sld.cu/index.php/mil/article/view/2316/1772; Carreño, A., & Gómez, C. (2013). Procesamiento de tejido de cuello uterino para estudio piloto de detección temprana de cáncer cervical basado en espectroscopia de impedancia eléctrica.; N. A. Ramírez-Pérez, L. E. Aparicio-Pico, y C. A. Pérez-Triana, “Medición sobre MRI para diagnóstico de cáncer de próstata”, Visión Electrónica, vol. 14, no. 2, pp. 196–206, jul. 2020. https://doi.org/10.14483/22484728.17965; Li, Yunhua; Cai, Chaozhi; Lee, Kok-Meng; Teng, Fengjian “A novel cascade temperature control system for a high-speed heat-airflow wind tunnel”, IEEE/ASME Transactions on Mechatronics, volumen 18, Issue 4, pages 1310 - 1319, 2013. https://doi:10.1109/TMECH.2013.2262077; Cai, Chaozhi; Li, Yunhua; Dong, Sujun, “Experimental Study on Gas Temperature Control for a High-Speed Heat-Airflow Wind Tunnel”, Journal of Aerospace Engineering, vol. 29, Issue. 6, nov 2016. https://doi.org/10.14483/22487638.6071; J. H. Fresneda-Alarcón, A. Escobar-Diaz, H. Vacca-González, y G. J. Rincón-Aponte, “Modelamiento e implementación de una planta térmica”, Visión Electrónica, vol. 15, no. 1, pp. 94–103, feb. 2021. https://doi.org/10.14483/22484728.17470; J. G. Ascanio-Villabona, B. E. Tarazona-Romero, y C. L. Sandoval, “Study of the behavior of the photovoltaic panel according to the installed surface”, Visión Electrónica, vol. 16, no. 2, dic. 2022.; LIU, Wei; ZHOU, Mengde, “An active damping vibration control system for wind tunnel models”, Chinese Journal of Aeronautics, vol. 32, pp. 2109-2120, sept 2019. https://doi.org/10.1016/j.cja.2019.04.014; Huang, Rui; Zhao, Yonghui; Hu, Haiyan, “Wind-Tunnel tests for active flutter control and closed-loop flutter identification”, AIAA Journal, vol. 54, Issue 7, pp. 2089-2099, 2016. https://doi.org/10.2514/1.J054649; FEEDBACK PT 326 Process Trainer User manual (e-lab) Crowborough, E. Sussex, England, 1999.; FEEDBACK Industry - PT 326 Process Trainer owner guide Crowborough, E. Sussex, England, 1999.; C. B. S. Dutra, F. K. Mendonca, G. C. Sousa, and N. G. Bonacorso, "Retrofitting of a plain table plotter for printed circuit boards prototyping," in Power Electronics Conference, 2009. COBEP '09. Brazilian, 2009, pp. 1027-1032.; K. Salonitis and S. Vatousianos, "Experimental Investigation of the Plasma Arc Cutting Process," Procedia CIRP, vol. 3, pp. 287-292, // 2012.; Lida Pan; Xiangkun Guo; Yan Luan; Hongliang Wang, “Design and realization of cutting simulation function of digital twin system of CNC machine tool”, Procedia Computer Science, vol. 183, pp. 261-266, 2021. https://doi.org/ https://doi.org/10.1016/j.procs.2021.02.057; A.M. Madni, C.C. Madni, S.D. Lucero, “Leveraging digital twin technology in modelbased systems engineering”, Systems, vol. 7, 2019. https://doi.org/ https://doi.org/10.3390/systems7010007; Ran, Meng, “Research on the key Technology of contour error control of machine tool based on digital twin”, ACM International Conference Proceeding Series, pp. 1070- 1075, dec 2022. https://doi.org/10.1145/3584376.3584567; Yu. G. KabaldinL, “Digital Twin for 3D Printing on CNC Machines”, Russian Engineering Research, vol. 39, pp. 848-851, 2019. https:// doiorg.bdigital.udistrital.edu.co/10.3103/S1068798X19100101; Hershberger, R. E., Morales, A. & Siegfried, J. D. Clinical and genetic issues in dilated cardiomyopathy: a review for genetics professionals. Genet. Med. 12, 655–667 (2010). This review article provides a wide and detailed overview of clinical and genetic issues in specific types of genetic DCM.; Hershberger, R.E.; Hedges, D.J.; Morales, A. Dilated cardiomyopathy: The complexity of a diverse genetic architecture. Nat. Rev. Cardiol. 2013, 10, 531–547.; Antunes M de O, Scudeler TL. Hypertrophic cardiomyopathy. IJC Hear Vasc. 2020;27:100503.; Teekakirikul P, Zhu W, Huang HC, Fung E. Hypertrophic cardiomyopathy: An overview of genetics and management. Biomolecules. 2019;9(12):1–11.; Maron BJ. Clinical Course and Management of Hypertrophic Cardiomyopathy. N Engl J Med. 2018;379(7):655–68.; Maron, B. J. Contemporary definitions and classification of the cardiomyopathies: an American Heart Association scientific statement from the Council on Clinical Cardiology, Heart Failure and Transplantation Committee; Quality of Care and Outcomes Research and Functional Genomics and Translational Biology Interdisciplinary Working Groups; and Council on Epidemiology and Prevention. Circulation 113, 1807–1816 (2006).; Elliott, P. et al. Classification of the cardiomyopathies: a position statement from the european society of cardiology working group on myocardial and pericardial diseases. Eur. Heart J. 29, 270–276 (2007).; Richardson, P. et al. Report of the 1995 World Health Organization/International Society and Federation of Cardiology Task Force on the definition and classification of cardiomyopathies. Circulation 93, 841–842 (1996); Rostán, S., Smiliansky, N., & Vaucher, A. (2020). Miocardiopatía por Influenza A H1N1. Reporte de un caso clínico. Revista Uruguaya De Medicina Interna, 5(3), 26-30. https://doi.org/10.26445/05.03.4; Galarza, G., Moreno, J., & Vasquez, G., (2021). Miocardiopatia secundaria a influenza. Revista Médica Vozandes, 32(1), 84-87. DOI:10.48018/rmv.v32.i1.2; Z. Wang, H. Shen, Y. Liu, Y. Cheng, R. Zhang, X. Wang, and A. L. Yuille, “Improving the accuracy of medical diagnosis with causal machine learning,” Nature Communications, vol. 11, no. 1, p. 18310, 2020.; M. M. Ahsan and Z. Siddique, “Machine learning-based heart disease diagnosis: A systematic literature review,” Artificial Intelligence in Medicine, vol. 128, p. 102289, 2022. [Online]. Available: https: //www.sciencedirect.com/science/article/pii/S0933365722000549; A. Kumar and A. Singla, “Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 7, pp. 1–28, 2022.; U. S. Acharya, S. Kulkarni, and P. Raju, “Artificial intelligence appliedto cardiomyopathies: Is it time for clinical application?” IEEE Access, vol. 10, pp. 16 264–16 282, 2022.; A. Regueiro Gómez, C. B. Busoch Morlán, C. Regueiro Busoch, y R. J. Díaz Martínez, “Biomedical Engineering: experiences in the research formation with MOODLE”, Visión Electrónica, vol. 14, no. 2, pp. 152–158, jul. 2020.; B. Forero, K. Velásquez, R. Hernández, y E. Mejía, “Simulation of transradial prosthesis using Virtual Reality Environment and electrooculography (EOG) signals for grip therapy”, Vis. Electrónica, vol. 16, no. 2, ago. 2022.; D. Sánchez-L., G. Sánchez, y L. A. Luengas-C., “Static postural stability: analysis in time and frequency through the development of a software tool”, Visión Electrónica, vol. 17, no. 1, abr. 2023.; J. L. Gerardo‐Nava, et al. "Transformative Materials to Create 3D Functional Human Tissue Models In Vitro in a Reproducible Manner." Advanced Healthcare Materials (2023): 2301030. doi.org/10.1002/adhm.202301030; C. Vesga-Castro, et al. “Contractile force assessment methods for in vitro skeletal muscle tissues.” eLife vol. 11 e77204. doi:10.7554/eLife.77204; K. Budde, J. Zimmermann, E. Neuhaus, M. Schröder, A. M. Uhrmacher and U. van Rienen, "Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 1082-1088, doi:10.1109/EMBC.2019.8856863.; A.M. Kasper, et al. “Mimicking exercise in three-dimensional bioengineered skeletal muscle to investigate cellular and molecular mechanisms of physiological adaptation.” Journal of cellular physiology vol. 233,3 (2018): 1985-1998. doi:10.1002/jcp.25840; M. Flaibani, et al. “Muscle differentiation and myotubes alignment is influenced by micropatterned surfaces and exogenous electrical stimulation.” Tissue engineering. Part A vol. 15,9 (2009): 2447-57. doi:10.1089/ten.tea.2008.0301; Fernández‐Costa, Juan M., et al. "Training‐on‐a‐Chip: A Multi‐Organ Device to Study the Effect of Muscle Exercise on Insulin Secretion in Vitro." Advanced Materials Technologies. vol. 8, no 7, p. 2200873 (2023). doi.org/10.1002/admt.202200873; Zhang, Xiaoning, et al. "Complex refractive indices measurements of polymers in visible and near-infrared bands." Applied optics. vol. 59, no 8, p. 2337-2344 (2020). Doi:org/10.1364/AO.383831; J. Fukushima, et al. “Effect of Aspect Ratio on the Permittivity of Graphite Fiber in Microwave Heating.” Materials (Basel, Switzerland) vol. 11,1 169. 22 Jan. 2018, doi:10.3390/ma11010169; K. K. Ravikumar, and K.K. Palanivelu. "Dielectric properties of natural rubber composites filled with graphite." Materials Today: Proceedings 16 (2019): 1338-1343. doi.org/10.1016/j.matpr.2019.05.233; S. Chen. “Dielectric constant measurement of P3HT, polystyrene, and polyethylene”, PhD. thesis., Faculty of Science and Engineering, 2017.; X. Y. Qi, et al. “Enhanced electrical conductivity in polystyrene nanocomposites at ultralow graphene content.” ACS applied materials & interfaces vol. 3,8 (2011): 3130-3. doi:10.1021/am200628c:10; K. Gadonna, et al. "Study of gas heating by a microwave plasma torch." Journal of Modern Physics. vol. 3, no 10, p. 1603. (2012): Doi.org/10.4236/jmp.2012.330198; E. Seran, et al. "What we can learn from measurements of air electric conductivity in 222Rn‐rich atmosphere." Earth and Space Science. vol. 4, no 2, p. 91-106 (2017). doi.org/10.1002/2016EA000241; K. Izdihar, et al. "Structural, mechanical, and dielectric properties of polydimethylsiloxane and silicone elastomer for the fabrication of clinical-grade kidney phantom." Applied Sciences. vol. 11, no 3, p. 1172 (2021). DOI:10.3390/app11031172; A. Müller, M. C. Wapler, and U. Wallrabe. "A quick and accurate method to determine the Poisson's ratio and the coefficient of thermal expansion of PDMS." Soft Matter. vol. 15, no 4, p. 779-784 (2019). DOI:10.1039/C8SM02105H; AZoM.com. (n.d.). Properties: Carbon - Graphite Materials. 2012.; Polystyrene %7C Designerdata. (n.d.). https://designerdata.nl/materials/plastics/thermoplastics/polystyrene; Poisson’s Ratio. (n.d.). https://polymerdatabase.com/polymer%20physics/Poisson%20Table.html; S, Shauheen, et al. “The elastic modulus of Matrigel as determined by atomic force microscopy.” Journal of structural biology. vol. 167, no 3, p. 216-219. doi:10.1016/j.jsb.2009.05.005; J.J. Vaca-González, et al. "Effect of electrical stimulation on chondrogenic differentiation of mesenchymal stem cells cultured in hyaluronic acid–Gelatin injectable hydrogels." Bioelectrochemistry. vol. 134, p. 107536 (2020). doi:10.1016/j.bioelechem.2020.107536; G. Agrawal, et al. “Skeletal muscle-on-a-chip: an in vitro model to evaluate tissue formation and injury.” Lab on a chip vol. 17,20 (2017): 3447-3461. doi:10.1039/c7lc00512a; G.; Renganathan et al., “ETH Library Foot Biomechanics with Emphasis on the Plantar Pressure Sensing: A Review Foot Biomechanics with Emphasis on the Plantar Pressure Sensing: A Review,” in Revolutions in Product Design for Healthcare, D. S. and Innovation, Ed. Singapore: Springer, 2022.; A. K. Buldt, J. J. Allan, K. B. Landorf, and H. B. Menz, “The relationship between foot posture and plantar pressure during walking in adults: A systematic review,” Gait and Posture, vol. 62. 2018, doi:10.1016/j.gaitpost.2018.02.026.; C. Deng, W. Tang, L. Liu, B. Chen, M. Li, and Z. L. Wang, “Self -Powered Insole Plantar Pressure Mapping System,” Adv. Funct. Mater., vol. 28, no. 29, Jul. 2018, doi:10.1002/ADFM.201801606.; J. L. Chen et al., “Plantar Pressure-Based Insole Gait Monitoring Techniques for Diseases Monitoring and Analysis: A Review,” Adv. Mater. Technol., vol. 7, no. 1, p. 2100566, Jan. 2022, doi:10.1002/ADMT.202100566.; Q. Zhang, Y. L. Wang, Y. Xia, X. Wu, T. V. Kirk, and X. D. Chen, “A low-cost and highly integrated sensing insole for plantar pressure measurement,” Sens. Bio-Sensing Res., vol. 26, 2019, doi:10.1016/j.sbsr.2019.100298.; J. F. Hafer, M. W. Lenhoff, J. Song, J. M. Jordan, M. T. Hannan, and H. J. Hillstrom, “Reliability of plantar pressure platforms,” Gait Posture, vol. 38, no. 3, 2013, doi:10.1016/j.gaitpost.2013.01.028.; H. Deepashini, B. Omar, A. Paungmali, N. Amaramalar, H. Ohnmar, and J. Leonard, “An insight into the plantar pressure distribution of the foot in clinical practice: Narrative review,” Polish Annals of Medicine, vol. 21, no. 1. 2014, doi:10.1016/j.poamed.2014.03.003.; K. Hébert-Losier and L. Murray, “Reliability of centre of pressure, plantar pressure, and plantar-flexion isometric strength measures: A systematic review,” Gait and Posture, vol. 75. 2020, doi:10.1016/j.gaitpost.2019.09.027.; P. R. Cavanagh, F. G. Hewitt, and J. E. Perry, “In-shoe plantar pressure measurement: a review,” The Foot, vol. 2, no. 4. 1992, doi:10.1016/0958-2592(92)90047-S.; X. Li, K. Wang, Y. L. Wang, and K. C. Wang, “Plantar pressure measurement system based on piezoelectric sensor: a review,” Sensor Review, vol. 42, no. 2. 2022, doi:10.1108/SR-09-2021-0333.; A. Ciniglio, A. Guiotto, F. Spolaor, and Z. Sawacha, “The design and simulation of a 16- sensors plantar pressure insole layout for different applications: From sports to clinics, a pilot study,” Sensors, vol. 21, no. 4, 2021, doi:10.3390/s21041450.; L. Luengas- Contreras.,and L. Wanumen-Silva. "Modelos computacionales en la posturografía". Tecnura, vol. 26, no. 73, 2022, 30-48. https://doi.org/10.14483/22487638.18060; R. de Fazio, E. Perrone, R. Velázquez, M. De Vittorio, and P. Visconti, “Development of a self-powered piezo-resistive smart insole equipped with low-power ble connectivity for remote gait monitoring,” Sensors, vol. 21, no. 13, 2021, doi:10.3390/s21134539.; H. Muhedinovic and D. Boskovic, “Design of iot solution for velostat footprint pressure sensor system,” in Lecture Notes of the Institute for Computer Sciences, SocialInformatics and Telecommunications Engineering, LNICST, 2016, vol. 187, doi:10.1007/978-3-319-51234-1_30.; AICMA, «Estadísticas de víctimas». Accedido: 26 de octubre de 2023. [En línea]. Disponible en: https://www.accioncontraminas.gov.co/Estadisticas/Paginas/Estadisticasde-Victimas.aspx; G. R. Hurley, R. McKenney, M. Robinson, M. Zadravec, y M. R. Pierrynowski, «The role of the contralateral limb in below-knee amputee gait», Prosthet Orthot Int, vol. 14, n.o 1, Art. n.o 1, abr. 1990, doi:10.3109/03093649009080314.; M. S. Pinzur, «The Effect of Prosthetic Alignment on Relative Limb Loading in Persons with Transtibial Amputation: A Preliminary Report», p. 5, 1995.; R. Gailey, «Review of secondary physical conditions associated with lower-limb amputation and long-term prosthesis use», The Journal of Rehabilitation Research and Development, vol. 45, n.o 1, Art. n.o 1, dic. 2008, doi:10.1682/JRRD.2006.11.0147.; T. Kobayashi, M. S. Orendurff, y D. A. Boone, «Dynamic alignment of transtibial prostheses through visualization of socket reaction moments», Prosthetics and orthotics international, vol. 39, n.o 6, Art. n.o 6, 2015.; D. A. Boone et al., «Perception of socket alignment perturbations in amputees with transtibial prostheses», The Journal of Rehabilitation Research and Development, vol. 49, n.o 6, Art. n.o 6, 2012, doi:10.1682/JRRD.2011.08.0143.; H. Hashimoto, T. Kobayashi, F. Gao, y M. Kataoka, «A proper sequence of dynamic alignment in transtibial prosthesis: insight through socket reaction moments», Sci Rep, vol. 13, n.o 1, Art. n.o 1, ene. 2023, doi:10.1038/s41598-023-27438-1; S. L. Delp et al., «OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement», IEEE Transactions on Biomedical Engineering, vol. 54, n.o 11, Art. n.o 11, nov. 2007, doi:10.1109/TBME.2007.901024.; F. De Groote, A. L. Kinney, A. V. Rao, y B. J. Fregly, «Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem», Ann Biomed Eng, vol. 44, n.o 10, Art. n.o 10, oct. 2016, doi:10.1007/s10439-016-1591-9.; G. Serrancoli et al., «Subject-Exoskeleton Contact Model Calibration Leads to Accurate Interaction Force Predictions», IEEE Trans. Neural Syst. Rehabil. Eng., vol. 27, n.o 8, pp. 1597-1605, ago. 2019, doi:10.1109/TNSRE.2019.2924536.; S. Miller y Y. V. Weddingen, «Modeling Flexible Bodies with Simscape Multibody Software», 2017. Accedido: 10 de agosto de 2023. [En línea]. Disponible en: https://la.mathworks.com/content/dam/mathworks/tag-team/Objects/s/Modeling-FlexibleBodies-Simscape-Multibody-171122.pdf; M. Ackermann y A. J. van den Bogert, «Optimality Principles for Model-Based Prediction of Human Gait», J Biomech, vol. 43, n.o 6, Art. n.o 6, abr. 2010, doi:10.1016/j.jbiomech.2009.12.012.; T. W. Dorn, J. M. Wang, J. L. Hicks, y S. L. Delp, «Predictive Simulation Generates Human Adaptations during Loaded and Inclined Walking», PLOS ONE, vol. 10, n.o 4, Art. n.o 4, abr. 2015, doi:10.1371/journal.pone.0121407.; C. L. Dembia, N. A. Bianco, A. Falisse, J. L. Hicks, y S. L. Delp, «OpenSim Moco: Musculoskeletal optimal control», PLOS Computational Biology, vol. 16, n.o 12, p. e1008493, dic. 2020, doi:10.1371/journal.pcbi.1008493.; L. Nolan, A. Wit, K. Dudziñski, A. Lees, M. Lake, y M. Wychowañski, «Adjustments in gait symmetry with walking speed in trans-femoral and trans-tibial amputees», Gait Posture, vol. 17, n.o 2, pp. 142-151, abr. 2003, doi:10.1016/s0966-6362(02)00066-8.; L. Nolan y A. Lees, «The functional demands on the intact limb during walking for active transfemoral and transtibial amputees», Prosthetics & Orthotics International, vol. 24, n.o 2, pp. 117-125, ago. 2000, doi:10.1080/03093640008726534.; W. Herzog, B. M. Nigg, L. J. Read, y E. Olsson, «Asymmetries in ground reaction force patterns in normal human gait», Medicine & Science in Sports & Exercise, vol. 21, n.o 1, p. 110, feb. 1989.; M. Roerdink, S. Roeles, S. C. H. van der Pas, O. Bosboom, y P. J. Beek, «Evaluating asymmetry in prosthetic gait with step-length asymmetry alone is flawed», Gait & Posture, vol. 35, n.o 3, pp. 446-451, mar. 2012, doi:10.1016/j.gaitpost.2011.11.005.; M. Roerdink y P. J. Beek, «Understanding Inconsistent Step-Length Asymmetries Across Hemiplegic Stroke Patients: Impairments and Compensatory Gait», Neurorehabil Neural Repair, vol. 25, n.o 3, pp. 253-258, mar. 2011, doi:10.1177/1545968310380687.; GP Fishwick, “Una introducción a Opensimulator y aplicaciones M&S basadas en agentes de entornos virtuales”, en Simulation Conference (WSC), Actas del invierno de 2009, diciembre de 2009, págs. 177 a 183,64.; Linden Research, Inc. Disponible en: http://lindenlab.com; M. Barbulescu, M. Marinescu, O. Grigoriu, G. Neculoiu, V. Sandulescu e I. Halcu, "GNU,GPL en el estudio de programas del campo de la ingeniería de sistemas", en Roedunet International Conference (RoEduNet), 10 de junio de 2011, pp. 1 –4.; Visor Hippo OpenSim, disponible: http://mjmlabs.com/viewer; Visor RealXtend, disponible: http://realxtend.org; M. Pattal, Y. Li y J. Zeng, “Web 3.0: ¡una verdadera web personal! Más oportunidades y más amenazas”, en Aplicaciones, servicios y tecnologías móviles de próxima generación, 2009. NGMAST '09. Tercera Internacional, Conferencia sobre, septiembre de 2009, pp. 125 –128.; McLeod, S. A; Piaget “Cognitive Theory” (en inglés). Simply Psychology. Consultado el 18 de marzo 2023.; Bronkart, J. P. y otros (1985). Vigotsky aujourd’hui. París: Delachaux & Niestlé. Consultado el 18 de marzo 2023; Bruner, J. (1980). Investigación sobre el desarrollo cognitivo. España: Pablo del Río.; Papert, S., & Harel, I. (2002). Situar el construccionismo. Alajuela: INCAE.; Ausubel, D. P. (2002). Adquisición y retención del conocimiento. Una perspectiva cognitiva. Barcelona: Ed. Paidós.; Athanassopoulos, N. Capítulo 7: Estudio comparativo del desarrollo de las inteligencias múltiples en alumnos que cursan o no estudios de danza en un conservatorio. innovando en educación.; Lave, J. (1991). Situating learning in communities of practice. En H. Resnick, S. Levine, & S. Teasley (Eds.), Perspective on socially shared cognition (pp.63-82). Washington, Estados Unidos: American Psycological Association.; Von Glasersfeld, E. 1984. An introduction to radical constructivism. En: P. Watzlawick. Theinvented reality. New York: Norton, pp. 17-40; MIT Media Lab (2016). Professor Emeritus Seymour Papert, pioneer of constructionist learning, dies at 88. MIT News, en http://news.mit.edu/2016/seymourpapertpioneer-of- constructionist-learning-dies-0801; Desarrollo de una aplicación con PLC Siemens, https://educatia.com.co/programacion-plc-logo-siemens-grafcet-a-ladder/; W. A. Bhat, A. Alzahrani, and M. A. Wani, “Can computer forensic tools be trusted in digital investigations?” Science and Justice, vol. 61, no. 2, pp. 198–203, Mar. 2021, [Online]. Disponible en: 10.1016/j.scijus.2020.10.002.; B. K. Akcam, “Forensic Science International we should give special mention to the observance of secrecy in the automotive industry in case of security relevant systems Digitizing Forensic Laboratories: The Turkish Criminal Police Laboratories Case.”; L. Xu, B. Wang, L. Wang, D. Zhao, X. Han, and S. Yang, “PLC-SEIFF: A programmable logic controller security incident forensics framework based on automatic construction of security constraints,” Computers and Security, vol. 92, May 2020, [Online]. Disponible en: 10.1016/j.cose.2020.101749.; M. I. Cohen, D. Bilby, and G. Caronni, “Distributed forensics and incident response in the enterprise,” in Digital Investigation, 2011, vol. 8, no. SUPPL. [Online]. Disponible en: 10.1016/j.diin.2011.05.012.; C. J. Courtney Mustaphi et al., “Guidelines for reporting and archiving 210Pb sediment chronologies to improve fidelity and extend data lifecycle,” Quaternary Geochronology, vol. 52, pp. 77–87, Jun. 2019, [Online]. Disponible en: 10.1016/j.quageo.2019.04.003.; P. Lutta, M. Sedky, M. Hassan, U. Jayawickrama, and B. Bakhtiari Bastaki, “The complexity of internet of things forensics: A state-of-the-art review,” Forensic Science International: Digital Investigation, vol. 38. Elsevier Ltd, Sep. 01, 2021. [Online]. Disponible en: 10.1016/j.fsidi.2021.301210.; W. Halboob, R. Mahmod, N. I. Udzir, and M. D. T. Abdullah, “Privacy levels for computer forensics: Toward a more efficient privacy-preserving investigation,” in Procedia Computer Science, 2015, vol. 56, no. 1, pp. 370–375. doi:10.1016/j.procs.2015.07.222.; G. Ma, Z. Wang, L. Zou, and Q. Zhang, “Computer forensics model based on evidence ring and evidence chain,” in Procedia Engineering, 2011, vol. 15, pp. 3663–3667.; M. Saadoon, S. H. Siti, H. Sofian, H. H. M. Altarturi, Z. H. Azizul, and N. Nasuha, “Fault tolerance in big data storage and processing systems: A review on challenges and solutions,” Ain Shams Engineering Journal, vol. 13, no. 2. Ain Shams University, Mar. 01, 2022.; D. Closser and E. Bou-Harb, “A live digital forensics approach for quantum mechanical computers,” Forensic Science International: Digital Investigation, vol. 40, p. 301341, Apr. 2022; G. Koorey, S. McMillan, and A. Nicholson, “Incident Management and Network Performance,” in Transportation Research Procedia, 2015, vol. 6, pp. 3–16.; K. Barik, S. Das, K. Konar, B. Chakrabarti Banik, and A. Banerjee, “Exploring user requirements of network forensic tools,” Global Transitions Proceedings, vol. 2, no. 2, pp. 350–354, Nov. 2021.; A. M. Marshall, “Digital forensic tool verification: An evaluation of options for establishing trustworthiness,” Forensic Science International: Digital Investigation, vol. 38, Sep. 2021.; T. Wu, F. Breitinger, and S. O’Shaughnessy, “Digital forensic tools: Recent advances and enhancing the status quo,” Forensic Science International: Digital Investigation, vol. 34, Sep. 2020.; W. A. Bhat, A. AlZahrani, and M. A. Wani, “Can computer forensic tools be trusted in digital investigations?” Science and Justice, vol. 61, no. 2, pp. 198–203, Mar. 2021.; A. Daniel D and S. E. Roslin, “Data validation and integrity verification for trust-based data aggregation protocol in WSN,” Microprocessors and Microsystems, vol. 80. Elsevier B.V., Feb. 01, 2021.; J. Tian and X. Jing, “Cloud data integrity verification scheme for associated tags,” Computers and Security, vol. 95, Aug. 2020.; C. Yang, F. Zhao, X. Tao, and Y. Wang, “Publicly verifiable outsourced data migration scheme supporting efficient integrity checking,” Journal of Network and Computer Applications, vol. 192, Oct. 2021.; Q. Zhao, S. Chen, Z. Liu, T. Baker, and Y. Zhang, “Blockchain-based privacypreserving remote data integrity checking scheme for IoT information systems,” Information Processing and Management, vol. 57, no. 6, Nov. 2020.; K. Porter, R. Nordvik, F. Toolan, and S. Axelsson, “Timestamp prefix carving for filesystem metadata extraction,” Forensic Science International: Digital Investigation, vol. 38, Sep. 2021.; R. Nordvik, K. Porter, F. Toolan, S. Axelsson, and K. Franke, “Generic Metadata Time Carving,” Forensic Science International: Digital Investigation, vol. 33, Jul. 2020.; M. Kiweler, M. Looso, and J. Graumann, “MARMoSET – Extracting Publication-ready Mass Spectrometry Metadata from RAW Files,” Molecular and Cellular Proteomics, vol. 18, no. 8, pp. 1700–1702, 2019.; N. K. Booker, P. Knights, J. D. Gates, and R. E. Clegg, “Applying principal component analysis (PCA) to the selection of forensic analysis methodologies,” Engineering Failure Analysis, vol. 132, Feb. 2022.; J. W. Ma, T. Czerniawski, and F. Leite, “An application of metadata-based image retrieval system for facility management,” Advanced Engineering Informatics, vol. 50, Oct. 2021.; L.E. Aparicio, “Informe Diagnóstico del estado actual de uso de las historias clínicas en hospitales de Bogotá”, 2010.; B. Schneier. Beyind Fear: Thinking Sensibly about Security in an Uncertain World. Copernicus Books, New York, NY, 2003.; R. Campbell, J. Al-Muhtadi, P. Naldurg, G. Sampemane, and M. Mickunas. Towards Security of Privacy for Pervasive Computing. En Proceedings of the International Symposium on Software Security, LNCS 2603, páginas 1-15, Springer-Verlag, 2002.; D. Garlan, D. Siewiprek, A. Smailagic, and P. Steenkiste. Project AURA: Toward Distraction-Free Pervasive Computing. IEEE Pervasive computing, 1(2):22-31, 2002.; M. Ulrich Legacy Systems: Transformation Strategies. Prentice Hall PTR, 2002.; J. H. Saltzer, D. P. Reed, and D.D. Clark. End-to-End Arguments in System Desing. ACM transactions on Computer Systems, 2(4):277-288, 1984.; Presentación del libro “Seguridad: una Introducción” Dr. MANUTA, Giovanni. Consultor y profesor de seguridad Cranfield University. Revista de Seguridad Corporativa. http//: www.seguridadcorporativa.org.; BORGHELLO. Cristian F. Tesis Seguridad Informática: Sus implicaciones e implementación. [En línea]. Junio 2001, (Citado nov., 05, 2004). Disponible en Internet:; FISHER ROYAL P. “Seguridad en los temas informáticos, Madrid; p 85, 1998.; JIMENEZ, José Alfredo. Evolución Seguridad de un Sistema de Información. [en línea]. Noviembre 2001, (Citado mar., 16, 2005). Disponible en Internet:; CALVO, Rafael Fernández. Glosario básico inglés-español para usuarios. [En línea]. Febrero 2000, (Citado mar., 16, 2005). Disponible en Internet:; ARDITA, Julio Cesar. Director de Cybsec S.A. Security System y ex-Hacker. Entrevista personal realizada el día 15 de enero del 2001 en Instalaciones de Cybsec S.A. http//: www.cybsec.com; MERLAT, Máximo. PAZ, Gonzalo. SOSA, Matias. MARTINEZ, Marcelo. Seguridad Informática: Hackers. [En línea]. Julio 2003. (Citado mar., 16, 2005). Disponible en Internet: http.//www.Seguridad InformáticaHackerilustrados_com.htm; KEITHE J. Jones, Superutilidades Hackers. México D.F: Mac Graw Hill, 2003, p. 282-288.; SUÑER, Francisco José. Hacker. [En línea]. Julio 2004. (Citado abr., 15, 2005). Disponible en Internet:< http://www.ciencia-ficcion.com/glosario/hacker.htm>; CANO. Jeimy. V Encuesta Nacional sobre Seguridad Informática en Colombia. [En línea]. Enero 2005, (Citado jul., 25, 2005). Disponible en Internet:; MENDEZ. Carlos E. Metodología Diseño y Desarrollo del Proceso de Investigación. Bogotá: Mc Graw Hill, 2005.; M. Bano, A. Qayyum, R. N. Bin Rais, and S. S. A. Gilani, “Soft-Mesh: A Robust Routing Architecture for Hybrid SDN and Wireless Mesh Networks,” IEEE Access, vol. 9, pp. 87715–87730, 2021, doi:10.1109/ACCESS.2021.3089020.; S. Kemp, “Digital in 2018: World’s internet users pass the 4 billion mark - We Are Social UK,” 2018. https://wearesocial.com/uk/blog/2018/01/global-digital-report-2018/ (accessed Sep. 01, 2023).; Z. Latif, K. Sharif, F. Li, M. Karim, and Y. Wang, “A Comprehensive Survey of Interface Protocols for Software Defined Networks,” 2019.; M. Paliwal and K. K. Nagwanshi, “Effective Flow Table Space Management Using PolicyBased Routing Approach in Hybrid SDN Network,” IEEE Access, vol. 10, pp. 59806– 59820, 2022, doi:10.1109/ACCESS.2022.3180333.; “Management, Control and Data plane - Cisco Community.” https://community.cisco.com/t5/switching/management-control-and-data-plane/tdp/2803553 (accessed Sep. 02, 2023).; “Management, Control, and Data Planes in Network Devices and Systems « ipSpace.net blog,” 2013. https://blog.ipspace.net/2013/08/management-control-and-data-planesin.html (accessed Mar. 12, 2023).; H. Farag, “CCNA-SEC Lec#4 %7C Securing Data Plane – Network-Masters,” 2017. https://networkmasters.wordpress.com/2017/01/27/ccna-sec-lec4-securing-data-plane/ (accessed Mar. 12, 2023).; “Difference Between Data Plane Vs Control Plane - Route XP Private Network Services.” https://www.routexp.com/2020/03/difference-between-data-plane-vs.html (accessed Mar. 12, 2023).; “Cisco SDN: Control Plane e Data Plane - Cisco Community.” https://community.cisco.com/t5/blogs-routing-y-switching/cisco-sdn-control-plane-edata-plane/ba-p/4655704 (accessed Sep. 02, 2023).; M. Jammal, T. Singh, A. Shami, R. Asal, and Y. Li, “Software defined networking: State of the art and research challenges,” 2014, doi:10.1016/j.comnet.2014.07.004.; C. Chaudet and Y. Haddad, “Wireless software defined networks: Challenges and opportunities,” 2013 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS 2013, 2013, doi:10.1109/COMCAS.2013.6685237.; J. F. G. Orrego and J. P. U. Duque, “Throughput and delay evaluation framework integrating SDN and IEEE 802.11s WMN,” 2017 IEEE 9th Latin-American Conference on Communications, LATINCOM 2017, vol. 2017-January, pp. 1–6, Dec. 2017, doi:10.1109/LATINCOM.2017.8240186.; A. Drescher, “A Survey of Software-Defined Wireless Networks”, Accessed: Sep. 02, 2023. [Online]. Available: http://www.cse.wustl.edu/~jain/cse574-14/ftp/sdwn/index.html; D. Kreutz, F. M. V. Ramos, P. E. Verissimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, “Software-defined networking: A comprehensive survey,” Proceedings of the IEEE, vol. 103, no. 1, pp. 14–76, Jan. 2015, doi:10.1109/JPROC.2014.2371999.; F. D. O. Silva, J. H. D. S. Pereira, P. F. Rosa, and S. T. Kofuji, “Enabling future internet architecture research and experimentation by using software defined networking,” Proceedings - European Workshop on Software Defined Networks, EWSDN 2012, pp. 73–78, 2012, doi:10.1109/EWSDN.2012.24.; E. Haleplidis and S. Salsano, “Overview of RFC7426: SDN Layers and Architecture Terminology - IEEE Software Defined Networks,” 2017. https://sdn.ieee.org/newsletter/september-2017/overview-of-rfc7426-sdn-layers-andarchitecture-terminology (accessed Feb. 18, 2023).; J. Espinoza, “Las API en Ambientes de Controladores de Red — Serie SDN №2 %7C by Jesus Espinoza %7C Medium,” 2021. https://jesuseduardoespinoza.medium.com/las-api-enambientes-de-controladores-de-red-serie-sdn-2-75139f6a10a2 (accessed Mar. 13, 2023).; J. E. Cáceres Guevara and C. A. Casilimas Fajardo, “Arquitectura y funcionamiento de redes definidas por software (SDN),” Repositorio Universidad Distrital Francisco José de Caldas, 2022.; “Open Networking Foundation.” https://opennetworking.org/ (accessed Sep. 07, 2023).; “Overview of Northbound Interfaces - eSight 21.0 Operation Guide 07 - Huawei.” https://support.huawei.com/enterprise/es/doc/EDOC1100208263/8ac892ef/northboundinterfaces (accessed Mar. 13, 2023).; D. J. Ramos Suavita, “Análisis de vulnerabilidades a nivel de seguridad en redes SDN para los planos de control y plano de datos,” Universidad Militar Nueva Granada, 2021, Accessed: Nov. 05, 2022. [Online]. Available: https://repository.unimilitar.edu.co/bitstream/handle/10654/41314/RamosSuavitaDairon Javier2022.pdf?sequence=1&isAllowed=y; L. Zhu, M. M. Karim, K. Sharif, F. Li, X. Du, and M. Guizani, “SDN Controllers: Benchmarking & Performance Evaluation,” Feb. 2019, [Online]. Available: http://arxiv.org/abs/1902.04491; D. Dudhal, “Performance Evaluation of SDN Controllers using Cbench and Iperf %7C by Disha Dudhal %7C Medium,” 2022. https://medium.com/@dishadudhal/performanceevaluation-of-sdn-controllers-using-cbench-and-iperf-e9296f63115c (accessed Apr. 30, 2023).; R. Kumar, M. Atulkar, and N. Kumar, Performance Comparison of Ryu and Floodlight Controllers in Different SDN Topologies. 2019.; R. Ramadhan, N. Armi, R. Magdalena, G. N. Nurkahfi, and M. M. M. Dinata, “QoS Performance of Software Define Network Using Open Network Operating System Controller,” in Proceeding - 2020 International Conference on Radar, Antenna, Microwave, Electronics and Telecommunications, ICRAMET 2020, Institute of Electrical and Electronics Engineers Inc., Nov. 2020, pp. 124–128. doi:10.1109/ICRAMET51080.2020.9298662.; M. Z. Abdullah, N. A. Al-Awad, and F. W. Hussein, “Evaluating and Comparing the Performance of Using Multiple Controllers in Software Defined Networks,” Modern Education and Computer Science, vol. 8, pp. 27–34, 2019, doi:10.5815/ijmecs.2019.08.03.; A. Singh, N. Kaur, and H. Kaur, “Extensive performance analysis of OpenDayLight (ODL) and Open Network Operating System (ONOS) SDN controllers,” 2022, doi:10.1016/j.micpro.2022.104715.; “SDN Framework RYU Using OpenFlow 1.3 RYU project team”.; “ONOS - ONOS - Wiki.” https://wiki.onosproject.org/ (accessed Sep. 07, 2023).; H. Facchini, S. Perez, R. Blanchet, B. Roberti, and R. Azcarate, “Experimental performance contrast between SDN and traditional networks,” in 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021, Institute of Electrical and Electronics Engineers Inc., 2021. doi:10.1109/CHILECON54041.2021.9702982.; D. Bombal, “GNS3,” 2015. https://gns3.com/sdn-101-mininet-openflow-and-gns (accessed Sep. 07, 2023).; “OpenFlow.” https://wiki.wireshark.org/OpenFlow (accessed Sep. 08, 2023).; J. Mogul and S. Deering, “RFC 1191 - Path MTU discovery.” https://datatracker.ietf.org/doc/html/rfc1191 (accessed Sep. 07, 2023).; “Rendimiento del servicio de volumen en bloque.” https://docs.oracle.com/esww/iaas/Content/Block/Concepts/blockvolumeperformance.htm (accessed Sep. 07, 2023).; “Data Center Switches – Cisco Nexus - Cisco.” https://www.cisco.com/site/us/en/products/networking/cloud-networkingswitches/index.html (accessed Sep. 07, 2023).; “muestra la memoria virtual del sistema %7C Juniper Networks.” https://www.juniper.net/documentation/mx/es/software/junos/junos-overview/topics/ref/command/show-system-virtual-memory.html (accessed Sep. 07, 2023).; “Why Move to a Modern Network Operating System? White Paper - Cisco.” https://www.cisco.com/c/en/us/products/collateral/ios-nx-os-software/ios-xrsoftware/white-paper-c11-744829.html (accessed Sep. 04, 2023).; “Software-Defined Networking (SDN) Definition - Open Networking Foundation.” https://opennetworking.org/sdn-definition/ (accessed Sep. 03, 2023).; “threading — Thread-based parallelism — Python 3.11.5 documentation.” https://docs.python.org/3/library/threading.html (accessed Sep. 05, 2023).; 5gamericas, “5gamericas: Statistics - Latin America.” [Online]. Available: http://www.5gamericas.org/en/resources/statistics/statistics-latin-america/.; A. Navarro Cadavid, A. Arteaga, L. Vargas, J. Renteria, and M. Arciniegas, “Spectrum Monitoring System and Benchmarking of Mobile Networks Using Open Software Radios SIMONES,” IEEE Lat. Am. Trans., vol. 13, no. 11, pp. 3592–3597, 2015.; M. Iedema and H. Samra, Getting Started with OpenBTS. 2015.; A. Dubey, D. Vohra, K. Vachhani, and A. Rao, “Demonstration of vulnerabilities in GSM security with USRP B200 and open-source penetration tools,” in Proceedings - AsiaPacific Conference on Communications, APCC 2016, 2016, pp. 496–501.; B. Harmat et al., “The Security Implications of IMSI Catchers,” in International Conference on Security and Management (SAM’15), 2015, pp. 57–62.; Mesud Hadžialić; Mirko Škrbić; Kemal Huseinović; Irvin Kočan; Jasmin Mušović, “An Approach to Analyze Security of GSM Network,” 22nd Telecommun. forum TELFOR 2014, 2014.; S. Ghafoor, K. N. Brown, and C. J. Sreenan, “Experimental evaluation of a software defined radio-based prototype for a disaster response cellular network,” in Proceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015, 2016, pp. 57–63.; K. Guevara, M. Rodriguez, N. Gallo, G. Velasco, K. Vasudeva, and I. Guvenc, “UAVbased GSM network for public safety communications,” in Conference Proceedings - IEEE SOUTHEASTCON, 2015, vol. 2015-June, no. June.; T. Di. Putri and T. Juhana, “Mobile-openbts implementation of natural disaster victims search,” in Proceedings - ICWT 2017: 3rd International Conference on Wireless and Telematics 2017, 2018, vol. 2017-July, pp. 149–154.; J. Mpala and G. Van Stam, “Open BTS, a GSM experiment in rural Zambia,” Africomm, Yaounde, Cameroon, pp. 1–9, 2012.; M. Zheleva, A. Paul, D. L. Johnson, and E. Belding, “Kwiizya: Local Cellular Network Services in Remote Areas,” in MobiSys, 2013, July, p. 417.; L. Angrisani, P. Daponte, and M. D'Apuzzo, “A measurement method based on time-frequency representations for testing GSM equipment,” IEEE Trans. Instrum. Meas., vol. 49, no. 5, pp. 1050–1056, 2000.; A. Aiello and D. Grimaldi, “Frequency error measurement in GMSK signals in a multipath propagation environment,” IEEE Trans. Instrum. Meas., vol. 52, no. 3, pp. 938–945, 2003.; K. Paul, “Introduction to GSM and GSM mobile RF transceiver derivation.; Union Internacional de Telecomunicaciones., “Definiciones de sistema radioeléctrico determinado por programas informáticos (RDI) y sistema radioeléctrico cognoscitivo (SRC),” vol. 2152, 2009.; T. ETSI Specification, “Digital cellular telecomm mmunications system (Phase e 2+) (GSM); GSM/EDGE Multiplexing and multiple access on the radio path (3GPP TS 45.0.002 version 13.3.1 Release 13).”; J. M. HUIDOBRO, Comunicaciones móviles: sistemas GSM, UMTS Y LTE, 2012th ed.; ETSI, Digital cellular telecommunications system (Phase 2+); Release independent frequency bands; Implementation guidelines (3GPP TS 05.14 version 7.2.0 Release 1998), vol. 0. 2001, pp. 0–31.; ETSI, Digital cellular telecommunications system (Phase 2+); Radio transmission and reception (3GPP TS 45.005 version 12.4.0 Release 12), vol. 0. 2008, pp. 0–40.; T. Specification, “ETSI TS 145 002,” vol. 0, pp. 0–112, 2014.; T. ETSI Specification, Technical Specification Group GSM/EDGE Radio Access Network; Digital cellular telecommunications system (Phase 2+); Modulation TS 05.04, vol. 0. 2003, pp. 1–28.; 3GPP, 3rd Generation Partnership Project; Technical Specification Group GSM/EDGE Radio Access Network; Digital cellular telecommunications system (Phase 2+); Radio subsystem synchronization. 1999.; ETSI, Digital cellular telecommunications system (Phase 2 and Phase 2+); Base Station System (BSS) equipment specification; Radio aspects (3GPP TS 11.21 version 8.6.0 Release 1999), vol. 0. 2008, pp. 0–40.; ETSI, EN 300 910 Digital cellular telecommunications system (Phase 2+); Radio transmission and reception (GSM 05.05 version 8.5.1 Release 1999), vol. 1. 1999, pp. 1– 10.; Keysight Technologies, “Understanding GSM/EDGE Transmitter and Receiver Measurements for Base Transceiver Stations and their Components.”; E. No. O. . U. S. A. Gbadamosi A. M. Aibinu, “Towards Independent Measurement of End to End Bit Error Rate in GSM Network,” pp. 1–4, 2014.; R. Communications, “Laboratory works in Radio Communications GSM Transceiver Measurements.” Prentice-Hall Inc, 1995.; T. ETSI Specification, 3GPP TS 05.05 3rd Generation Partnership Project; Technical Specification Group GSM/EDGE Radio Access Network; Radio transmission and reception, vol. 0. 2005.; E. Research, “USRP Hardware Driver and USRP Manual Version: 003.010.001.001-41- g6abf277.” [Online]. Available: http://openbts.org/hardware/.; R. Networks, C. C. Attribution-sharealike, and U. License, “OpenBTS Application Suite,” 2014; Agilent Technologies, “Making the Phase and Frequency Error Measurement.” [Online]. Available: http://literature.cdn.keysight.com/litweb/pdf/ads2001/vsaedgemeas/gsmmeas6.html.; D. Seidl et al., «The multiparameter station at Galeras Volcano (Colombia): concept and realization», Journal of Volcanology and Geothermal Research, vol. 125, n.o 1-2, pp. 1-12, 2003, doi:10.1016/s0377-0273(03)00075-1.; J. M, «Review of electric and magnetic fields accompanying seismic and volcanic activity», U.S. Geological Survey, vol. 18, n.o 5, pp. 441-475, 1997, doi:10.1023/A:1006500408086.; V. Surkov y V. Pilipenko, «Estimate of ULF electromagnetic noise caused by a fluid flow during seismic or volcano activity», Copernicus Publications, vol. 2, n.o 10, pp. 6475-6497, 2014, doi:10.5194/nhessd-2-6475-2014.; Y. Sasai et al., «Magnetic and electric field observations during the 2000 activity of Miyakejima volcano, Central Japan», Earth and Planetary Science Letters, vol. 203, n.o 2, pp. 769-777, 2002, doi:10.1016/S0012-821X(02)00857-9.; M. Valenciano, «Implementación de un radioenlace LPWAN con tecnología LoRa», Tesis, Universidad de Valladolid, Valladolid, 2022. [En línea]. Disponible en: https://uvadoc.uva.es/bitstream/handle/10324/57458/TFGG5892.pdf?sequence=1&isAllowed=y; R. Piyare, A. Murphy, M. Magno, y L. Benini, «On-Demand LoRa: Asynchronous TDMA for EnergyEfficient and Low Latency Communication in IoT», Sensors, vol. 18, n.o 3718, 2018, doi:10.3390/s18113718.; C. Guerrero, «Evaluación de los retardos en redes LoRaWAN multisalto con topología lineal», Tesis, Universidad Politécnica Nacional, Quito Ecuador, 2022.; H. Mahmood Jawad, R. Nordin, S. Kamel Gharghan, A. Mahmood Jawad, y Mahamod Ismail, «Energy-efficient wireless sensor networks for precision agriculture: A review», Sensors, vol. 17, n.o 8, p. 1781, 2017, doi:10.3390/s17081781.; R. Muñoz, «Modelado y evaluación de la eficiencia del estándar SCHC para el transporte de paquetes IP sobre LoRaWAN», Tesis Maestría, Universidad de Chile, Santiago de Chile, 2020. [En línea]. Disponible en: https://repositorio.uchile.cl/bitstream/handle/2250/177977/Modelado-y-evaluacion-de-laeficiencia-del-estandar-SCHC-para-el-transporte-de-paquetes-IP.pdf?sequence=1; W. Yong, L. Minzan, y Z. Man, «Remote-control system for greenhouse based on opensource hardware», IFAC, vol. 52, n.o 30, pp. 178-183, 2019, doi:10.1016/j.ifacol.2019.12.518.; L. Cilleruelo and A. Zubiaga, “Una aproximación a la Educación STEAM. Prácticas educativas en la encrucijada arte, ciencia y tecnología. Jornadas de Psicodidáctica, 18.,” 2014.; M. L. Matute Sánchez and C. R. Contreras Alvarado, “Diseño y desarrollo de un asistente robótico basado en sistemas embebidos y aplicaciones móviles como herramienta de soporte pedagógica para niños de uno a cinco años,” 2019.; E. Systems, “ESP8266EX,” 2023.; K. Arakadakis, P. Charalampidis, A. Makrogiannakis, and A. Fragkiadakis, “Firmware Over-the-air Programming Techniques for IoT Networks-A Survey,” ACM Comput. Surv., vol. 54, no. 9, pp. 1–24, 2022, doi:10.1145/3472292.; I. G. Juan, I. Garc, I. F. Milena, and I. G. Ezequiel, “Gestión de Redes Centralizado desde GNU / Linux,” Cordoba, 2021.; Y. T. Chávez Cujilán and J. M. Espinoza Ortíz, “Desarrollo de una plataforma web para el control y seguimiento de productos terminados en la empresa camaronera ambartex s.a. empleando la metodología kanban,” Universidad de Guayaquil, 2016.; M. docs Web, “Métodos de petición HTTP,” 2023. https://developer.mozilla.org/es/docs/Web/HTTP/Methods.; R. Pereira, C. de Souza, D. Patino, and J. Lata, “Platform for Distance Learning of Microcontrollers and Internet of Things; [Plataforma De Enseñanza a Distancia De Microcontroladores E Internet De Las Cosas],” Ingenius, vol. 2022, no. 28, pp. 53 – 62, 2022, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144095611&doi=10.17163%2Fings.n28.2022.05&partnerID=40&md5=cc9fd40b5b28 c66ac89ebf8f68ab3275.; M. Garduno-Aparicio, J. Rodriguez-Resendiz, G. Macias-Bobadilla, and S. Thenozhi, “A Multidisciplinary Industrial Robot Approach for Teaching Mechatronics-Related Courses,” IEEE Trans. Educ., vol. 61, no. 1, pp. 55–62, 2018, doi:10.1109/TE.2017.2741446.; P. Jacko et al., “Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips,” Sensors, vol. 22, no. 4, 2022, doi:10.3390/s22041440.; Ð. Mijailović, A. Ðorđdević, M. Stefanovic, D. Vidojević, A. Gazizulina, and D. Projović, “A cloud-based with microcontroller platforms system designed to educate students within digitalization and the industry 4.0 paradigm,” Sustain., vol. 13, no. 22, 2021, doi:10.3390/su132212396.; J. Vega D, “Soporte para gestión remota ota sobre una picocelda GSM / GPRS OverThe-Air management on a GSM / GPRS picocell Graduado en Ingeniería de Tecnologías de Telecomunicación,” Universidad de Cantabria, 2014.; J. Molnár et al., “Weather Station IoT Educational Model Using Cloud Services,” JUCS - J. Univers. Comput. Sci., vol. 26, no. 11, pp. 1495–1512, Nov. 28AD, [Online]. Available: https://doi.org/10.3897/jucs.2020.079.; O. Velihorskyi, I. Nesterov, and M. Khomenko, “Remote Debugging of Embedded Systems in Stm32Cubemonitor,” pp. 22–25, 2020, doi:10.35598/mcfpga.2020.007.; G. Zhabelova, M. Vesterlund, S. Eschmann, Y. Berezovskaya, V. Vyatkin, and D. Flieller, “A Comprehensive Model of Data Center: From CPU to Cooling Tower,” IEEE Access, vol. 6, pp. 61254–61266, 2018, doi:10.1109/ACCESS.2018.2875623.; I. Marín, “un enfoque de neurociencia sobre la participación de los estudiantes en las clases de microcontroladores durante la pandemia covid19,” in 14a Conferencia Internacional Anual de Educación, Investigación e Innovación Actas JA - ICERI2021, pp. 5776-5783 urgencias-, doi:10.21125/iceri.2021.1303 Año anual - 2021.; S. P. De Araujo and L. Dias Souza, “STEAM Education y el Diseño de los modelos de aprendizaje MOE, TAS y COM,” i+Diseño. Rev. Científico-Académica Int. Innovación, Investig. y Desarro. en Diseño, vol. 17, pp. 23–34, 2022, doi:10.24310/idiseno.2022.v17i.15683.; E. Flores, “Ingenieria de Software,” 2021. https://ingenieriadesoftware.mex.tl/52666_Presentacion.html.; E. Inga, J. Inga, and A. Ortega, “Novel approach sizing and routing of wireless sensor networks for applications in smart cities,” Sensors, vol. 21, no. 14, pp. 1–17, 2021, doi:10.3390/s21144692.; T. Vince et al., “IoT implementation in remote measuring laboratory VMLab analyses,” J. Univers. Comput. Sci., vol. 26, no. 11, pp. 1402–1421, 2020, doi:10.3897/jucs.2020.074.; I. Olarte C and L. A. Rodriguez Umaña, “diseño de arquitectura estándar para la adquisición y transmisión de datos integrados en la automatización de cultivos acuaponicos,” Universidad Cooperativa de Colombia, 2022.; J. I. Vega Luna, F. J. Sánchez-Rangel, G. Salgado-Guzmán, J. F. Cosme-Aceves, V. N. Tapia-Vargas, and M. A. Lagos-Acosta, “Red de monitorización para automatizar el sistema de enfriamiento de un centro de datos,” Ingenius, no. 24, pp. 87–96, 2020, doi:10.17163/ings.n24.2020.09.; M. Rodríguez, S. Zafra y S. Ortega, «La revisión sistemática de la literatura científica y la necesidad de visualizar los resultados de las investigaciones.,» Revista Logos, Ciencia & Tecnología, vol. 7, nº 1, pp. 101-103, 2015.; M. Salcido, A. del Toro, N. Medina, F. RamÍrez, M. Gacia, A. Briceño y J. Jiménez, «Revisión sistemática: el más alto nivel de evidencia,» Orthotips AMOT, vol. 17, nº 4, pp. 217-22%7C, 2021.; B. Moreno, M. Muñoz, J. Cuellar, S. Domancic y J. Villanueva, «Revisiones Sistemáticas: definición y nociones básicas.,» Revista clínica de periodoncia, implantología y rehabilitación oral, vol. 11, nº 3, pp. 184-186, 2018.; C. Ierandi, L. Orihuela, I. Jurado, Á. Rodríguez Del Nozal y A. Tapia, «Revisión sistemática de la literatura en ingeniería de sistemas. Caso práctico: técnicas de estimación distribuida de sistemas ciberfísicos.,» Actas de las XXXVIII Jornadas de Automática, pp. 84-91, 2017.; H. García, «Conceptos fundamentales de las revisiones sistemáticas/metaanálisis.,» Urología colombiana, vol. 24, nº 1, pp. 28-34, 2015.; O. Beltrán, «Revisiones sistemáticas de la literatura.,» Revista colombiana de gastroenterología., vol. 20, nº 1, pp. 60-69, 2005.; C. Manterola, P. Astudillo, E. Arias y N. Claros, «Revisiones sistemáticas de la literatura. Qué se debe saber acerca de ellas.,» Cirugía española, vol. 91, nº 3, pp. 149-155, 2023.; L. Letelier, J. Manríquez y G. Rada, «Revisiones sistemáticas y metaanálisis:¿ son la mejor evidencia?,» Revista médica de Chile, vol. 133, nº 2, pp. 246-249, 2005.; OpenAI, «ChatGPT (Versión del 16 de octubre de 2023),» 2023. [En línea]. Available: https://chat.openai.com/.; G. Guevara, A. Verdesoto, S. Guevara y E. González, «Las Tecnologías de la Información y la Comunicación en la educación universitaria,» Revista Científica de Investigación actualización del mundo de las Ciencias, vol. 3, nº 3, pp. 409-422, 2019.; J. Cobo, «El concepto de tecnologías de la información. Benchmarking sobre las definiciones de las TIC en la sociedad del conocimiento.,» Revista de Estudios de Comunicación, vol. 14, nº 27, pp. 295-318, 2009.; Z. L. C. A. P. G. L. V. C. &. D. C. M. B. Aliaga, «Software educativo para favorecer la aprehensión de los contenidos de ingeniería de software,» Revista de Investigación en Tecnologías de la Información, pp. 5(9), 63-69., 2017.; B. Gros, El ordenador invisible. Hacia la apropiación del ordenador en la enseñanza, Barcelona, España: Editorial Gedisa, 2000.; S. Kumar, «Knowledge of software education,» Global Research Journal of Educaion, pp. 1-2, 2022.; H. Rosario N, «TIC EN AMBIENTES EDUCATIVOS,» Comunidad y Salud, vol. 5, nº 2, 2007.; ] U. IIEP, «Tecnologías de la información y la comunicación (TICs) en la educación,» IIEP Learning Portal, 22 Marzo 2023. [En línea]. Available: https://learningportal.iiep.unesco.org/es/fichas-praticas/mejorar-elaprendizaje/tecnologias-de-la-informacion-y-la-comunicacion-tics-en-la. [Último acceso: 5 Octubre 2023].; D. Correa y F. Pérez, «Los modelos pedagógicos: trayectos históricos,» Debates por la Historia., pp. 125-154, 2022.; B. Joyce y M. Weil, Los modelos de enseñanza., Madrid, España: Editorial Anaya, 1985.; F. García, «Los modelos didácticos como instrumento de análisis y de intervención en la realidad educativa.,» García Pérez, F. F. (2000). Los modelos didácticos como instrumento de análiBiblio 3w: Revista Bibliográfica de Geografía y Ciencias Sociales., pp. 1-12, 2000.; V. Niño, Metodología de la investigación. Diseño y ejecución., Bogotá, Colombia: Ediciones de la U, 2011.; G. Fidias, El proyecto de Investigación. Introducción a la metodología científica., Caracas, Venezuela: Editorial Episteme, CA., 2006.; L. Larriba, «La investigación de los modelos didácticos y de las estrategias de enseñanza.,» Enseñanza., pp. 73-88, 2001.; N. Romero y J. Moncada, «Modelo didáctico para la enseñanzade la educación ambiental en la Educación Superior Venezolana,» Revista de Pedagogía, pp. 443-476, 2007.; A. Brolpito, Digital Skills and Competence, and Digital and Online Learning., European Training Foundation., 2018.; O. Najar, «Tecnologías de la información y la comunicación aplicadas a la educación,» Praxis y Saber, vol. 7, nº 14, pp. 9-16, 2016.; E. Kispeter, What digital skills do adults need to succeed in the workplace now and in the next 10 years., Warwick Institute for Employement Research., 2018.; A. Gargallo, «La integración de las TIC en los procesos educativos y organizativos.,» Educar em Revista., vol. 34, nº 69, pp. 325-339, 2018.; J. Cabrero, Tecnología educativa. Diseño y utilización de medios en la enseñanza., Barcelona, España: Editorial Paidos, 2001.; L. Alvarez, Modelos de gestión, Bogotá: Fundación Universitaria del Área Andina, 2017.; T. Huertas, E. Suárez, M. Salgado, L. Jadán y B. Jiménez, «Diseño de un modelo de gestión. Base científica y práctica para su elaboración.,» Revista Universidad y Sociedad, 12(1), 165-177., vol. 12, nº 1, pp. 165-177, 2020.; L. Reginato, C. Pereira y R. Guerreiro, «Una investigacion sobre las caracteristicas del modelo de gestion: un estudio de caso.,» Reginato, L., Pereira, C. A., & Guerreiro, R. (2009). Una investigacion sobre las cara Iberoamerican journal of industrial engineering, vol. 1, nº 1, pp. 24-45, 2009.; L. Angulo, Gestión de ptoyectos. Bajo el enfoque del PMBOK, Lima: Editorial Macro, 215.; A. López y D. Lankenau, Administración de proyectos. La clave para la coordinación efectiva de actividades y recursos, México: Pearson, 2017.; R. Terrazas, «Modelo conceptual para la gestión de proyectos.,» Perspectivas, vol. 24, pp. 165-188, 2009.; A. Narvaez y R. Esperanza, «Modelos para la Gestión de Proyectos.,» Informador Técnico, vol. 71, pp. 53-58, 2007.; U. IIEP, «Tecnologías de la información y la comunicación (TICs) en la educación,» IIEP Learning Portal, 22 Marzo 2023. [En línea]. Available: https://learningportal.iiep.unesco.org/es/fichas-praticas/mejorar-elaprendizaje/tecnologias-de-la-informacion-y-la-comunicacion-tics-en-la. [Último acceso: 5 Octubre 2023].; J. A. Pineda Acero, «Diseño de proyectos educativos mediados por TIC: un marco de referencia,» Opción, vol. 32, nº 10, pp. 479-499, 2016.; UNESCO, Herramientas para la gestión de proyectos educativos con TIC, Buenos Aires: UNESCO, 2007.; E. H. Legresti, «Proyecto de incorporación de las TICs como herramienta de aprendizaje,» 2019.; D. &. C. S. L. Alan Neill, Procesos y fundamentos de la investigación científica. , 53(9)., Macha, Ecuador: Ediciones UTMACH, 2018.; A. Carli, La Ciencia como herramienta. Guía para la investigación y la realización de informes, monografías y tesis científicas., Buenos Aires: Editorial Biblos, 2008.; P. Suárez, Metodología de la investigación. Diseño y técnicas, Bogotá, Colombia: Orión Editores Ltda., 2004.; M. Medina, La investigación aplicada a proyectos. Identificación del proyecto y formulación de la investigación., Bogotá, Colombia: Ediciones Ántropos Ltda., 2007.; Aplicación y uso de drones: https://edu.gcfglobal.org/es/cultura-tecnologica/quees-un-dron-y-cuales-son-sus-usos/1/; Como funciona el Mapeo a partir de drones? : https://ts2.space/es/como-funcionael-sistema-de-mapeo-3d-de-un-dron/; Duarte, J. F., Galindo Gómez, S. F., Rodríguez Pupo, S., PayánDurán, L. F., & Velásquez-Rodrígue, C. E. (2022). Paso a paso para desarrollar innovaciones sociales. Documento Técnico del PCIS.; Hoyos Montoya, E. A., & de Souza Bías, E. (2021). [Título del artículo]. Recuperado dehttps://doi.org/10.22490/25394088.5609; UN (2022). Objetivos de Desarrollo Sosteninle Tomado de: https://www.un.org/sustainabledevelopment/es/waterand-sanitation/; MEN( 2022) titulado ORIENTACIONES CURRICULARES PARA EL ÁREA DETECNOLOGÍA E INFORMÁTICA EN LA EDUCACIÓN BÁSICA Y MEDIA https://www.colombiaaprende.edu.co/sites/default/files/files_public/2022- 11/Orientaciones_Curricures_Tecnologia.pdf; Secretaría de Ambiente. Bogotá está mejorando y en el Día Mundial de los Humedales reafirma su compromiso con estos ecosistemas. https://www.ambientebogota.gov.co/ (2022).; Cuellar, Y., Pérez, L. Modelado multitemporal y simulación de la dinámica compleja en humedales urbanos: el caso de Bogotá, Colombia. Representante científico 13 , 9374 (2023).https://doi.org/10.1038/s41598-023-36600-8; Ramsar. "Humedales urbanos: tierras preciadas, no terrenos baldíos ". https://www.ramsar.org/resources/publications (2018).; Das, N. y Mehrotra, S. Humedales en contextos urbanos: un caso de Bhoj Wetland. En 2021 Simposio internacional de geociencia y teledetección del IEEE IGARSS (págs. 6972-6975). IEEE(2021).; Van der Hammen, T. Los humedales de la Sabana: origen, evolución, degradación y restauración. en Los humedales de Bogotá y la Sabana, Conservación Internacional 19–51(2003).; Ramsar (2021). " Transformar la agricultura para sostener a las personas y mantener los humedales”. Tomado de: https://www.ramsar.org/sites/default/files/documents/library/rpb6_agriculture_s. pdf; Espínola Pérez, A. M. (2014). Clasificación de Imágenes de Satélite mediante AutómatasCelulares (Tesis doctoral). Universidad de Almería. Dirigida por Dr. D. Luis F. Iribarne Martínez, Dra. Dña. Rosa M. Ayala Palenzuela, y Dr. D. José Antonio Piedra Fernández.; He, W., Chen, S., Liu, X., & Chen, J. (2008). Water quality monitoring in a slightly-pollutedinland water body through remote sensing — Case study of the Guanting Reservoir in Beijing, China. Frontiers of Environmental Science & Engineering in China, 2, 163–171.; Carbonell Carrera, C., & Bermejo Asensio, L. A. (2017). Augmented reality as a digital teaching environment to develop spatial thinking. Cartography and Geographic Information Science, 44(3), 259-270. https://doi.org/10.1080/15230406.2016.1145556; Cuellar, Y., & Perez, L. (2023). Multitemporal modeling and simulation of the complex dynamics in urban wetlands: the case of Bogota, Colombia. Scientific Reports, 13, 9374.; Carbonell Carrera, C., & Bermejo Asensio, L. A. (2017). Augmented reality as a digital teachingenvironment to develop spatial thinking. Cartography and Geographic Information Science, 44(3), 259-270. https://doi.org/10.1080/15230406.2016.1145556; Alikhani, S., Nummi, P. & Ojala, A. Humedales urbanos: una revisión de los valores ecológicosy culturales. Agua 13 , 3301 (2021).; H. Mohapatra and S. I. Hosain, “Intermodal dispersion free few-mode (quadruple mode) fiber: A theoretical modelling,” Opt Commun, vol. 305, pp. 267–270, 2013, doi:10.1016/j.optcom.2013.05.018.; J. Tu, K. Long, and K. Saitoh, “Design and optimization of 3-mode×12-core dual-ring structured few-mode multi-core fiber,” Opt Commun, vol. 381, pp. 30–36, 2016, doi:10.1016/j.optcom.2016.06.049.; H. Zhu, Z. Cao, and Q. Shen, “Construction of the refractive index profiles for few-mode planar optical waveguides,” Opt Commun, vol. 260, no. 2, pp. 542–547, 2006, doi:10.1016/j.optcom.2005.11.011.; G. F. Fibers, H. Mohapatra, and S. I. Hosain, “Variational Approximations for LP l 1 Modes,” vol. 26, no. 4, pp. 372–375, 2014.; F. Ferreira, D. Fonseca, and H. Silva, “Design of few-mode fibers with up to 12 modes and low differential mode delay,” International Conference on Transparent Optical Networks, vol. 32, no. 3, pp. 353–360, 2014, doi:10.1109/ICTON.2014.6876696.; A. Rjeb, H. Seleem, H. Fathallah, and M. Machhout, “Design of 12 OAM-Graded index few mode fi bers for next generation short haul interconnect transmission,” Optical Fiber Technology, vol. 55, no. October 2019, p. 102148, 2020, doi:10.1016/j.yofte.2020.102148.; H. Kubota and T. Morioka, “Few-mode optical fiber for mode-division multiplexing,” Optical Fiber Technology, vol. 17, no. 5, pp. 490–494, 2011, doi:10.1016/j.yofte.2011.06.011.; J. Zhang and L. Mao, “Integrating multiple transportation modes into measures of spatial food accessibility,” J Transp Health, vol. 13, no. March, pp. 1–11, 2019, doi:10.1016/j.jth.2019.03.001.; A. E. Zhukov, V. A. Burdin, and A. V Bourdine, “Design of silica optical fibers with enlarged core diameter for a few-mode fiber optic links of onboard and industrial multiGigabit networks,” Procedia Eng, vol. 201, pp. 105–116, 2017, doi:10.1016/j.proeng.2017.09.675.; W. Jin et al., “Few-mode and large-mode-area fiber with circularly distributed cores,” Opt Commun, vol. 387, no. July 2016, pp. 79–83, 2017, doi:10.1016/j.optcom.2016.11.016.; J. Han and C. Qu, “Characterization of distributed mode crosstalk in few-mode fiber links with low MIMO complexity,” Physical Communication, vol. 25, pp. 310–314, 2017, doi:10.1016/j.phycom.2017.02.002.; S. Wei-Hua, X. Chuan-Xiang, and Y. Jing, “A new type of Few-mode Photonic Crystal Fiber with nearly-zero flattened Dispersion properties,” ICOCN 2017 - 16th International Conference on Optical Communications and Networks, vol. 2017-Novem, pp. 16–18, 2017, doi:10.1109/icocn.2017.8374406.; R. Miyazaki, M. Ohashi, H. Kubota, Y. Miyoshi, and N. Shibata, “Chromatic dispersion measurement of the high order mode in a few-mode fiber using an interferometric technique and a mode converter,” 2017 Opto-Electronics and Communications Conference, OECC 2017 and Photonics Global Conference, PGC 2017, vol. 2017- Novem, pp. 1–3, 2017, doi:10.1109/OECC.2017.8114866.; A. Marcos Aparicio, “Cable submarino, conexión DWDM entre continentes,” Sistema de Gestión de incidencias Open Source, 2017, [Online]. Available: http://oa.upm.es/48560/1/PFC_ANA_ISABEL_MARCOS_APARICIO.pdf; G. P. (Govind P. ) Agrawal, Fiber-optic communication systems. Wiley-Interscience, 2002.; S. Matthew, Elementos de electromagnetismo. 2009. doi: 10: 0-8400-5444-0.; D. Pozar, “Microwave Engineering 2nd Ed David Pozar,” pp. 1–736, 2008, [Online]. Available: papers2://publication/uuid/74B11176-09A2-4077-9BDE-1E89002D0735; R. Neri Vela and L. H. Porragas Beltrán, Líneas de transmisión, vol. 3, no. 2. 2012. doi:10.25009/uv.1998.124.; D. Gloge and E. A. J. Marcatili, “Multimode Theory of Graded-Core Fibers,” 1973.; M. Carmen. España Booquera, Comunicaciones ópticas : conceptos esenciales y resolución de ejercicios. Díaz de Santos, 2005. Accessed: Sep. 25, 2023. [Online]. Available: https://www.academia.edu/33300228/MAR%C3%8DA_CARMEN_ESPA%C3%91A_B OQUERA_COMUNICACIONES_%C3%93PTICAS_Conceptos_esenciales_y_resoluci %C3%B3n_de_ejercicios; K. Gomez, L. Goratti, F. Granelli, y T. Rasheed, «A Comparative Study of Scheduling Disciplines in 5G Systems for Emergency Communications», presentado en 1st International Conference on 5G for Ubiquitous Connectivity, Levi, Finland, 2014. doi:10.4108/icst.5gu.2014.257987.; K. Pedersen, G. Pocovi, J. Steiner, y A. Maeder, «Agile 5G Scheduler for Improved E2E Performance and Flexibility for Different Network Implementations», IEEE Commun. Mag., vol. 56, n.o 3, pp. 210-217, mar. 2018, doi:10.1109/MCOM.2017.1700517.; A. Akhtar y H. Arslan, «Downlink resource allocation and packet scheduling in multinumerology wireless systems», en 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Barcelona, abr. 2018, pp. 362-367. doi:10.1109/WCNCW.2018.8369012.; K. I. Pedersen, M. Niparko, J. Steiner, J. Oszmianski, L. Mudolo, y S. R. Khosravirad, «System Level Analysis of Dynamic User-Centric Scheduling for a Flexible 5G Design», en 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, dic. 2016, pp. 1-6. doi:10.1109/GLOCOM.2016.7842312.; S. A. AlQahtani and M. Alhassany, “Comparing different LTE scheduling schemes,” in 2013 9th international wireless communications and mobile computing conference (IWCMC), 2013, pp. 264–269.; T. Dikamba, “Downlink scheduling in 3GPP long term evolution (LTE),” 2011.; S. V. S. Prakash and M. Visali, “On demand SINR based scheduling algorithm (ODSSA) for mobile uplink communication in LTE networks,” in 2015 International Conference on Signal Processing and Communication Engineering Systems, 2015, pp. 453–457.; G. Muñoz, I. H. Solana, and M. Ángela, “Gestión de Recursos Radio en Redes Móviles Celulares Basadas en Tecnología OFDMA para la Provisión de QoS y Control de la Interferencia.”; C. So-In, R. Jain, y A. K. Tamimi, “A Deficit Round Robin with Fragmentation scheduler for IEEE 802.16e Mobile WiMAX”, en IEEE Sarnoff Symposium, 2009. SARNOFF ’09, 2009, pp. 1–7.; H. Fattah y C. Leung, “An Improved Round Robin Packet Scheduler for Wireless Networks”, International Journal of Wireless Information Networks, vol. 11, pp. 41–54, 2004.; J. Vihriala et al., «Numerology and frame structure for 5G radio access», en 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications; N. Siasi, A. Jaesim, A. Aldalbahi, y N. Ghani, «Link Failure Recovery in NFV for 5G and Beyond», en 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Barcelona, Spain, oct. 2019, pp. 144-148. doi:10.1109/WiMOB.2019.8923413.; D.-H. Kim, B.-H. Ryu, y C.-G. Kang, «Packet Scheduling Algorithm Considering a Minimum Bit Rate for Non-realtime Traffic in an OFDMA/FDD-Based Mobile Internet Access System», ETRI J., vol. 26, n.o 1, pp. 48-52, feb. 2004, doi:10.4218/etrij.04.0203.0005.; M. Yan, G. Feng, J. Zhou, Y. Sun, y Y.-C. Liang, «Intelligent Resource Scheduling for 5G Radio Access Network Slicing», IEEE Trans. Veh. Technol., vol. 68, n.o 8, pp. 7691- 7703, ago. 2019, doi:10.1109/TVT.2019.2922668.; A. A. Esswie y K. I. Pedersen, «Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks», IEEE Access, vol. 6, pp. 38451-38463, 2018, doi:10.1109/ACCESS.2018.2854292.; R. B. Abreu, G. Pocovi, T. H. Jacobsen, M. Centenaro, K. I. Pedersen, y T. E. Kolding, «Scheduling Enhancements and Performance Evaluation of Downlink 5G TimeSensitive Communications», IEEE Access, vol. 8, pp. 128106-128115, 2020, doi:10.1109/ACCESS.2020.3008598.; Z. Gu et al., «Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation», ArXiv200908346 Cs Eess, feb. 2021, Accedido: feb. 06, 2021. [En línea]. Disponible en: http://arxiv.org/abs/2009.08346; Khaira, M. S., & Borkar, N. Y., «U.S. Patent No. 5,357,512. Washington, DC: U.S. Patent and Trademark Office.» 1994.; C. J. Katila, C. Buratti, M. D. Abrignani, y R. Verdone, «Neighbors-Aware Proportional Fair scheduling for future wireless networks with mixed MAC protocols», EURASIP J. Wirel. Commun. Netw., vol. 2017, n.o 1, p. 93, dic. 2017, doi:10.1186/s13638-017- 0875-6.; Humaira Rashid Khan, Fahd Sikandar Khan, Ahmed Shuja Syed, Javeed Akhtar, Chapter 27 - Nano-inks and their applications in packaging industries, Editor(s): Ram K. Gupta, Tuan Anh Nguyen, In Micro and Nano Technologies, Smart Multifunctional Nano-inks, Elsevier, 2023, Pages 687-698, ISBN 9780323911450, https://doi.org/10.1016/B978-0-323-91145-0.00015-3.; Muhammad Ifaz Shahriar Chowdhury, Yashdi Saif Autul, Sazedur Rahman, Md Enamul Hoque, 11 - Polymer nanocomposites for automotive applications, Editor(s): Md Enamul Hoque, Kumar Ramar, Ahmed Sharif, In Woodhead Publishing in Materials, Advanced Polymer Nanocomposites, Woodhead Publishing, 2022, Pages 267-317, ISBN 9780128244920, https://doi.org/10.1016/B978-0-12-824492-0.00010-6.; Harpreet Singh, Kirandeep Kaur, Role of nanotechnology in research fields: Medical sciences, military & tribology- A review on recent advancements, grand challenges and perspectives, Materials Today: Proceedings, 2023, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2023.02.061. (https://www.sciencedirect.com/science/article/pii/S2214785323005783); Priyanshi Saini, Kamalesu, Lalita, Manikanika, Review on nanotechnology “Impact on the food services industry”, Materials Today: Proceedings, 2023, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2023.04.377.; Aloysius F. Hepp, Jerry D. Harris, Allen W. Apblett, Andrew R. Barron, Chapter 17 - Commercialization of single-source precursors: Applications, intellectual property, and technology transfer, Editor(s): Allen W. Apblett, Andrew R. Barron, Aloysius F. Hepp, Nanomaterials via Single-Source Precursors, Elsevier, 2022, Pages 563-600, ISBN 9780128203408, https://doi.org/10.1016/B978-0-12-820340-8.00008-3.; Arkadiy Larionov, Yulia Larionova, Ludmila Selivanova, Regional Peculiarities of Energy Saving Development During the Exploitation of Housing and Underground Housing and Utility Sector Objects, Procedia Engineering, Volume 165, 2016, Pages 1229-1232, ISSN 1877-7058, https://doi.org/10.1016/j.proeng.2016.11.844.; Mahendra L. Shelar, Vinod B. Suryawanshi, Experimental investigation and characterization of the tensile and flexural properties of amine functionalized graphene enhanced nanocomposite prepregs, Materials Today: Proceedings, 2023, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2023.06.371.; A. B. Shivshambhu Kumar, "Potential applications of nanomaterials in oil and gas well cementing: Current status, challenges and prospects," Journal of Petroleum Science and Engineering, vol. 213, pp. 1-18, 2022.; L. Ivanov, O. Borisova and S. R. Miminova, "The inventions in nanotechnologies as practical solutions. Part I.," Nanotekhnologii v Stroitel'stve, vol. 11, no. 1, pp. 91-101, 2019.; F. A. Shilar, S. V. Ganachari y V. B. Patil, “Advancement of nano-based construction materials-A review”, Construction and Building Materials, vol. 359, pp. 1-41, 2022; M. Luna, J.J. Delgado, T. Montini, L.M.L. Almoraima Gil, P. Fornasiero and M.J. Mosquera, "Photocatalytic TiO2 nanosheets-SiO2 coatings on concrete and limestone: An enhancement of de-polluting and self-cleaning properties by nanoparticle design," Construction and Building Materials, vol. 338, pp. 1-13, 2022.; Z. Wang, Q. Yu, P. Feng and H. Brouwers, "Variation of self-cleaning performance of nano-TiO2 modified mortar caused by carbonation: From hydrates to carbonates," Cement and Concrete Research, vol. 158, pp. 1-15, 2022.; A. A. Firoozi, M. Naji, M. Dithinde and A. A. Firoozi, "A Review: Influence of Potential Nanomaterials for Civil Engineering Projects," Iranian Journal of Science and Technology, Transactions of Civil Engineering, vol. 45, p. 2057–2068, 2020.; A. A. Alizadehmojarad, X. Zhou, A. G. Beyene, K. E., Chacon, Y. Sung, R. Pinals, L. Vuković, "Binding Affinity and Conformational Preferences Influence Kinetic Stability of Short Oligonucleotides on Carbon Nanotubes," Advanced Materials Interfaces, vol. 7, no. 15, p. 2000353, 2020.; J. Tang, X. Wang, J. Zhang, J. Wang, W. Yin, D.S. Li, and T. Wu, "A chalcogenide-cluster-based semiconducting nanotube array with oriented photoconductive behavior," Nature Communications, vol. 12, no. 1, p. 4275, 2021.; A. S. Dahlan, "Smart and Functional Materials Based Nanomaterials in Construction Styles in Nano-Architecture," Silicon, vol. 11, pp. 1949-1953, 2019.; A. Adesina, "Overview of Workability and Mechanical Performance of Cement-Based Composites Incorporating Nanomaterials," Silicon, vol. 14, pp. 135-144, 2020.; A. M. Onaizi, G. F. Huseien, N. H. A. S. Lim, M. Amran and M. Samadi, "Effect of nanomaterials inclusion on sustainability of cement-based concretes: A comprehensive review," Construction and Building Materials, vol. 306, pp. 1-20, 2021.; A. Z. Aljenbaz y Ç. Çağnan, “Evaluation of Nanomaterials for Building Production within the Context of Sustainability”, European Journal of Sustainable Development, vol. 9, pp. 53-65, 2020.; P. D. Bonilla Nieto, J. S. Carrillo Sanabria, y J. R. Camargo López, “Solar energy manager with PSOC5LP”, Vis. Electron., vol. 13, n.º 1, pp. 112–122, ene. 2019. https://doi.org/10.14483/22484728.14426; D. J. Arcila Perozo, L. Y. López López, y K. S. Novoa Roldán, ”Robotic system based on ant behavior for optimizing shortest path finding”, Vis. Electron., vol. 17, n.º 1, abr. 2023.; Yener, S. C., & Mutlu, R. (2018). A microcontroller-based ECG signal generator design utilizing microcontroller PWM output and experimental ECG data. 2018 Electric Electronics, Computer Science, Biomedical Engineering’s’ Meeting, EBBT 2018, 1-4. https://doi.org/10.1109/EBBT.2018.8391465; Rangayyan, R. M. (2002). BIOMEDICAL SIGNAL ANALYSIS A Case-Study Approach.; León, F., Rodríguez Lozano, F. J., Cubero Fernández, A., Palomares, J. M., & Olivares, J. (2019). SysGpr: Sistema de generación de señales sintéticas pseudo-realistas. Revista Iberoamericana De Automática, 16 (3), 369-379.; Anowarul Fattah, S. (2012). Identifying the Motor Neuron Disease in EMG Signal Using Time and Frequency Domain Features with Comparison. Signal & Image Processing: An International Journal, 3 (2), 99-114. https://doi.org/10.5121/sipij.2012.3207; De Luca, C. J. (1979). Physiology and Mathematics of Myoelectric Signals. IEEE Transactions on Biomedical Engineering, BME-26 (6), 313-325. https://doi.org/10.1109/TBME.1979.326534; Selvan, V. A. (2011). Single-fiber EMG: A review. Ann Indian Acad Neurol.; Wu, J., Li, X., Liu, W., & Jane Wang, Z. (2019). SEMG Signal Processing Methods: A Review. Journal of Physics: Conference Series, 1237 (3). https://doi.org/10.1088/1742- 6596/1237/ 3/032008; Widodo, A., Puspitaningayu, P., Anifah, L., & Firmansyah, R. (2018). An ArdiunoSimulink Based ECG Waveform Generator. 2018 2nd Borneo International Conference on Ap- plied Mathematics and Engineering, BICAME 2018, 338-342. https://doi.org/10.1109/ BICAME45512.2018.1570504879; DALCAME. (2005). Electromiografía. http ://www.dalcame.com/emg.html#.X4o6m9BKjIV (accessed: 16.10.2020).; López Chávez, H. I. (2020). Detección de la LRD en el ritmo cardiaco. APUNTES DE CLASE. Mahabalagiri, A. K., Ahmed, K., & Schlereth, F. (2011). A novel approach for simulation, measurement and representation of surface EMG (sEMG) signals. Conference Record - Asilomar Conference on Signals, Systems and Computers, 476- 480. https://doi.org/10.1109/ACSSC.2011.6190045; Ruiz Rubio, R. (1999). Aplicaciones de las señales electromiográficas. http://www.encuentros.uma.es/encuentros53/aplicaciones.%20html#:∼:%20text=Las% 5C%20se%5C%C3%5C%B1ales%5C%20EMG%5C%20tienen%5C%20una%5C%20f recuencia%5C%20que%5C%20oscila%5C%20entre%5C%2050,ser%5C%20menor% 5C%20de%5C%20300%5C%20Hz. (accessed: 16.10.2020).; Tabernig, C., Acevedo, R., & Fernández, J. (2007). INFLUENCIA DE LA FATIGA MUSCULAR EN LA SEÑAL ELECTROMIOGRÁFICA DE MÚSCULOS ESTIMULADOS ELÉCTRICAMENTE. Revista EIA, 111-119.; Alvarés Osorio, L. (2007). Acondicionamiento de señales bioeléctricas. https://www.coursehero.com/file/p3rjpjoo/2-Tipos-de-se%5C%C3%5C%B1alesbioel%5C%C3%5C%A9ctricas-6-nervous-system-a-trav%5C%C3%5C%A9s-demotor-end-plates/(accessed: 16.10.2020).; Mcgill, K. C., Lateva, Z. C., & Marateb, H. R. (2005). EMGLAB. http://emglab.net/emglab/index.php; Nikolic, M. (2001). Detailed Analysis of Clinical Electromyography Signals EMG Decomposition, Findings and Firing Pattern Analysis in Controls and Patients with Myopathy and Amy- trophic Lateral Sclerosis [Tesis doctoral, Faculty of Health Science, University of Copenhagen].; Téllez, M., Mejía, J., López, H., & Hernández, C. (2020). Random Number Generator with LongRange Dependence and Multifractal Behavior Based on Memristor. Electronics, 9 (10). https://doi.org/10.3390/electronics9101607; Initial J. Barrios., Tratamiento del sindrome del tunel carpiano. estudio de un caso clinico, Available online: https://mbfisioterapia.wordpress.com/tag/tunel-carpiano/, 2012, (accessed on 27-08-2023).; Diego A. B. V. and Ferro R. E, Estudio de modelos propuestos para el nervio mediano sano y con síndrome de túnel carpiano. Available online: https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16353/15643 , 2019, (accessed on 28-08-2023).; L. L. A., Síndrome del túnel del carpo, Available online: https://www.medigraphic.com/pdfs/orthotips/ot-2014/ot141g.pdf , 2014, (accessed on 28-08-2023). Revista Orthotips.; R. D. G. F and D. F, Síndrome del túnel carpiano carpal tunnel syndrome,Revista Habanera de Ciencias Médicas, vol. 13, pp. 728–741, 2014. [Online]. Available: http://scielo.sld.cu; M. E. D. Alguacil, A. C. Millán, R. L. Sánchez, A. M. Sánchez, M. F. Arrondo, and I. C. Hernández, Revisión bibliográfica síndrome del túnel carpiano. intervención enfermera. Available online: https://revistasanitariadeinvestigacion.com/revision-bibliograficasindrome-del-tunel-carpiano-intervencion-enfermera/ , 2022, (accessed on 29-08- 2023).; J. O. G, Síndrome de túnel carpiano y accidente de tráfico. https://www.peritajemedicoforense.com/OJEDA.htm#:∼:text=El%20S%C3%ADndrome %20de%20T%C3%%20BAnel%20Carpiano,a%20traumatismo%20sobre%20la%20mu %C3%B1eca, 2001, (accessed on 29-08-2023).; M. B. Tejedor, J. A. Cervera, R. G. Lahiguera, and A. L. Ferreres, Análisis de factores de riesgo laborales y no laborales en síndrome de túnel carpiano (stc) mediante análisis bivariante y multivariante, https://scielo.isciii.es/scielo.php?script=sci arttext&pid=S1132-62552016000300004, 2016, (accessed on 01-09-2023). Valencia. Revista Scielo.; A. M. R., Síndrome del túnel carpiano. revisión no sistemática de la literatura. https://revistas.unisanitas.edu.co/index.php/rms/article/view/436, 2019, (accessed on 01-09-2023). Revista Médica Sanitas.; G. C. G. P., A. F. G. E., and E. A. G. A., Síndrome del túnel del carpo. Revista morfología. https://revistas.unal.edu.co/index.php/morfolia/article/view/10857#:∼:text=El%20S%C 3%ADndrome%20del%20T%C3%BAnel%20de,causas%20locales,%20regionale s%20y%20sist%C3%A9micas., 2009, (accessed on 02-09-2023). Universidad Nacional de Colombia.; Y. A. M. M., L. V. C. S., and M. A. T. S., Prevalencia de signos y síntomas de síndrome del túnel carpiano y sus factores asociados, en empleados administrativos de la universidad santo tomás sede floridablanca, durante el semestre del 2016. https://repository.usta.edu.co/bitstream/handle/11634/10218/YohannaMirandaLizethcala-%202017.pdf?sequence=1&isAllowed=y, 2017, (accessed on 23-09-2023). Universidad Santo Tomás.; U. M. Vázquez, I. D. C. Carrera, A. Alonso-Calvete, and Y. González-González, Eficacia del kinesiotape en el síndrome del túnel carpiano. una revisión sistemática, https://scielo.isciii.es/scielo.php?pid=S1132- 62552022000100011&script=sciarttext&tlng=pt, 2022, accedido 6-09-2023.; E. Cabrera, “El coeficiente de correlacion de los rangos de spearman caracterizacion,”http://scielo.sld.cu/pdf/rhcm/v8n2/rhcm17209.pdf, 2009, accedido 8- 09-2023.; IBM, “Estadísticos de tablas cruzadas,” https://www.ibm.com/docs/es/spss-statistics/ saas?topic=crosstabs-statistics, 2021, accedido 8-09-2023.; H. L. J. Diego, E. C. Franklin, R. J. E, C. R. J. Gerardo, T. S. C. Andrés, A. T. M. Karina, C. S. S. Milena, and B. P. V. José, “Sobre el uso adecuado del coeficiente de correlación de pearson: definición, propiedades y suposiciones,” https://www.redalyc.org/journal/559/55963207025/55963207025.pdf, 2018, accedido 8- 09-2023.; S. I. M. Orlando, “Coeficiente de correlación; coeficiente de correlación de spearman; estadística; coeficiente de correlación por rangos,” http://repositorio.utn.edu.ec/handle/123456789/768, 2011, accedido 15-09-2023.; B. M.H., A. G. O.P, L. Serrato, and J. A. Garnica, “Correlación no-paramétrica y su aplicación en la investigaciones científica non-parametric correlation and its application in scientific research,” http://www.spentamexico.org/v9-n2/A5.9(2)31-40.pdf, 2014, accedido 15-09-2023.; NCAN National Center for Adaptative Neurotechnologies, Documentation 2nd Wadsworth BCI Dataset (P300 Evoked Potentials) Data Acquired Using BCI2000 P3 Speller Paradigm, 1, 2002.; M.S.S.T.N.H Yağan-Mussellim-Arslan-Çakar-Alp-Ozkan, "A new benchmark dataset for P300 ERP-based BCI applications", Digital Signal Processing, vol. 135, pp. 1-11, April 2023.https://doi.org/10.1016/j.dsp.2023.103950.; L. E. A. G. P. Korczowski-Ostaschenko-Andreev-Cattan-Coelho Rodrigues, et al. Brain Invaders calibration-less P300-based BCI using dry EEG electrodes Dataset, (bi2014a). [Research Report] GIPSA-lab. 2019. ffhal-02171575f; A. M. E. D. D. C. R. M. T. L. M. Gramfort-Luessi-Larson-Engemann-StrohmeierBrodbeck-Goj-Jas-Brooks-Parkkonen-Hämäläinen. MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7(267):1–13, 2013. doi:10.3389/fnins.2013.00267.; Haghighatpanah, N., Amirfattahi, R., Abootalebi, V., & Nazari, B. (2012). A two stage single trial P300 detection algorithm based on independent component analysis and wavelet transforms. 2012 19th Iranian Conference of Biomedical Engineering (ICBME), 324-329.; Neda Haghighatpanah, Rasoul Amirfattahi, Vahid Abootalebi, and Behzad Nazari. A single channel-single trial p300 detection algorithm. In 2013 21st Iranian Conference on Electrical Engineering (ICEE), pages 1–5, 2013; S. K. Haider, A. Jiang, M. A. Jamshed, H. Pervaiz and S. Mumtaz, "Performance Enhancement in P300 ERP Single Trial by Machine Learning Adaptive Denoising Mechanism," in IEEE Networking Letters, vol. 1, no. 1, pp. 26-29, March 2019, doi:10.1109/LNET.2018.2883859.; Praveen Kumar Shukla, Rahul Kumar Chaurasiya, and Shrish Verma. Performance improvement of p300-based home appliances control classification using convolution neural network. Biomedical Signal Processing and Control, 63, 1 2021.; Samima, S., Sarma, M., Samanta, D. et al. Estimation and quantification of vigilance using ERPs and eye blink rate with a fuzzy model-based approach. Cogn Tech Work 21, 517–533 (2019). https://doi.org/10.1007/s10111-018-0533-8; A. Boudjella, M. Y. Boudjella and B. Bachir, "Epileptic Disease Prediction Using Graphic User Interface–Machine Learning Algorithm," 2022 7th International Conference on Image and Signal Processing and their Applications (ISPA), Mostaganem, Algeria, 2022, pp. 1-8, doi:10.1109/ISPA54004.2022.9786366.; Heras, J. M. (2019, noviembre 17). Precision, Recall, F1, Accuracy en clasificación. [Online] Iartificial.net. Available at https://www.iartificial.net/precision-recall-f1- accuracy-en-clasificacion/; C. F. Blanco-D ́ıaz, C. D. Guerrero-Méndez, and A. F. Ruiz-Olaya. Enhancing p300 detection using a band-selective filter bank for a visual p300 speller. IRBM, 44, 6 2023; E Solis-Escalante, G Gabriel Gentiletti, and O Yanez-Suarez. Single trial p300 detection based on the empirical mode decomposition. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pages 1157– 1160, 2006.; C. F. Blanco-D ́ıaz, C. D. Guerrero-M ́endez, and A. F. Ruiz-Olaya. Enhancing p300 detection using a band-selective filter bank for a visual p300 speller. IRBM, 44, 6 2023; R. A. Neira- Ricouz, " Fotografia Aerea", Tesis Ing, Universidad Austral de Chile, Valdivia, Chile, 2005.; D. I. Gómez, R. Castrillón, " Reconocimiento Automático De Ganado Bovino A Partir De Imágenes Aéreas Tomadas Con Drones: Un enfoque exploratorio", III Congreso Internacional en Inteligencia Ambiental, Ingeniería de Software y Salud Electrónica y Móvil, 32-39, Pereira Colombia, 2019.; Airdroneview, 4 julio 2014, “Historia de la fotografía aérea”[Blog], [Online]. Recuperado de: https://airdroneview.com/2014/07/04/historia-de-la-fotografia-aerea/ .; F. Fernández García, " Fotografía aérea histórica e historia de la fotografía aérea en España”, Revista ERIA, Departamento de Geografía. Universidad de Oviedo, España, pp . 217-240, 2015.; M. Blanco Pérez. (2021). Fotografía aérea con tecnología drone. Tipología y aplicaciones. Discursos Fotograficos, 16(29), pp.76–101. https://doi.org/10.5433/1984-7939.2020v16n29p76; FJT Historia, medicina y otras artes, marzo 2016, “Las primeras fotografías aéreas de la Historia”[Blog],[Online]. Recuperado de: https://franciscojaviertostado.com/2016/03/14/las-primeras-fotografias-aereas-de-lahistoria/.; A Berrondo UrruzolaD. I, "Detección de carreteras en imágenes de reconocimiento remoto mediante deep", Grado en Ingeniería Informática Computación, Univeridad del pais vasco, Facultad de informatica, 2020.; A. Yasin Yiğit, A. Kocatepe, " Automatic road detection from orthophoto images", mersin photogrametri journal, 2(1); 10-17, e ISSN 2687-654X, 2020 .; Chaki, N., Shaikh, S.H., Saeed, K. (2014). A Comprehensive Survey on Image Binarization Techniques. In: Exploring Image Binarization Techniques. Studies in Computational Intelligence, vol 560. Springer, New Delhi. https://doi.org/10.1007/978- 81-322-1907-1_2; RAE, diccionario real academia de la lengua española, actualización 2022, “consulta del termino correlación”[Online]. Recuperado de: https://dle.rae.es/correlaci%C3%B3n?m=form; Máxima formación, julio 2020, “¿Qué Es La Correlación Estadística Y Cómo Interpretarla?”, [Blog], [Online]. Recuperado de: https://dle.rae.es/correlaci%C3%B3n?m=form; P. Sinha, B. Horgan, R. Ewing, E. Rampe, M. Lapotre, M. Nachon, M. Thorpe, A. Rudolph, C. Bedford, K. Maso2, E. Champion, P. Gray, E. Reid, M. Faragalli, “Decorrelation stretches(dcs) of visible images as a tool for sedimentary provenance investigationson earth and mars”, NTRS - NASA Technical Reports Server, March 16, 2020; Farrand, W. H., J. F. Bell III, J. R. Johnson, M. S. Rice, B. L. Jolliff, and R. E. Arvidson (2014), “Observations of rock spectral classes by the Opportunity rover’s Pancam on northern Cape York and on Matijevic Hill, Endeavour Crater, Mars”, J. Geophys. Res. Planets, 119, 2349–2369, doi:10.1002/2014JE00464.; M. Peikari, A. L. Martel, "Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching", Proc. SPIE 9791, Medical Imaging 2016: Digital Pathology, 979114 (23 March 2016); https://doi.org/10.1117/12.2216507; D. Hema1, S. Kannan. “Interactive Color Image Segmentation using HSV Color Space”, Science and Technology Journal, Vol. 7 Issue: 1 ISSN: 2321-3388, 2020; The MathWorks Inc,“Image Processing Toolbox For Use with MATLAB®”, decorstretch function, Version 3, User's Guide, https://www.mathworks.com/help/images/ref/decorrstretch.html.; T. Gevers, J. Weijer, H Stokman, “Color Image Processing: Chapter Color Feature Detection”. Social Science Computing Review, 1 st ed. England. edit. CRC Press, pp. 22, 2006. eBook ISBN9781315221526.; The MathWorks Inc,“Image Processing Toolbox For Use with MATLAB®”, imfill function, Version 3, User's Guide, https://la.mathworks.com/help/images/ref/imfill.html?searchHighlight=imfill&s_tid=srch title_support_results_1_imfill.; The MathWorks Inc,“Image Processing Toolbox For Use with MATLAB®”, bwareadopen function, Version 3, User's Guide. https://la.mathworks.com/help/images/ref/bwareaopen.html?searchHighlight=bwareao pen&s_tid=srchtitle_support_results_1_bwareaopen; Shutterstock,” Imágenes libres de regalías de Maldivas”, [Online]. Recuperado de: https://www.shutterstock.com/es/search/maldivas; National Geographic, “Vista aérea del complejo arqueoastronómico de Chankillo, en Perú”. Foto: Ministerio de Cultura de Perú, [Online]. Recuperado de: https://historia.nationalgeographic.com.es/a/chankillo-observatorio-solar-mas-antiguoamerica_19020; M. Franzese and A. Iuliano, “Hidden Markov models,” in Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Elsevier, 2018, pp. 753–762. Doi:10.1016/B978-0-12-809633-8.20488-3.; B.-J. Yoon, “Hidden Markov Models and their Applications in Biological Sequence Analysis,” Cur Genomics, vol. 10, no. 6, pp. 402–415, Sep. 2009, Doi:10.2174/138920209789177575.; P. C. Chang, J. J. Lin, J. C. Hsieh, and J. Weng, “Myocardial infarction classification with multilead ECG using hidden Markov models and Gaussian mixture models,” Applied Soft Computing Journal, vol. 12, no. 10, pp. 3165–3175, Oct. 2012, Doi:10.1016/j.asoc.2012.06.004.; T. Navarrete, “Detección de anomalías en la carga de un procesador utilizando modelos ocultos de Markov.,” Tesis de maestría, Instituto tecnológico de Morelia, Morelia, Michoacán, pp. 1, 2007. Accessed: Sep. 11, 2023. [Online]. Available: http://www.asiat.com.mx/tomas/tesismaestria/micrositio/node2.html; Ö. Yavuz, M. Calp, and H. Erkengel, “Prediction of breast cancer using machine learning algorithms on different datasets,” Ingenieria Solidaria, vol. 19, no. 1, pp. 1–32, Jun. 2023, doi:10.16925/2357-6014.2023.01.08.; DANE, “Estadísticas vitales (EEVV),” pp. 1, 2023. Accessed: Sep. 11, 2023. [Online]. Available: https://www.dane.gov.co/files/investigaciones/poblacion/pre_estadisticasvitales_IIItrim_2022p r.pdf; W. Gersch, P. Lilly, and E. Dong, “PVC Detection by the Heart-Beat Interval Data-Markov Chain Approach,” COMPUTERS AND BIOMEDICAL RESEARCH, vol. 8, pp. 370–378, 1975, Doi: https://doi.org/10.1016/0010-4809(75)90013-0.; A. H. Kadish et al., “ACC/AHA clinical competence statement on electrocardiography and ambulatory electrocardiography. A report of the ACC/AHA/ACP-ASIM Task Force on Clinical Competence (ACC/AHA Committee to Develop a Clinical Competence Statement on Electrocardiography and Ambulatory Electrocardiography),” J Am Coll Cardio, vol. 38, no. 7, pp. 2091–2100, 2001, Doi:10.1016/s0735-1097(01)01680-1.; R. V. Andreão, B. Dorizzi, and J. Boudy, “ECG signal analysis through hidden Markov models,” IEEE Trans Biomed Eng, vol. 53, no. 8, pp. 1541–1549, Aug. 2006, doi:10.1109/TBME.2006.877103.; M. H. Crawford et al., “ACC/AHA guidelines for ambulatory electrocardiography: Executive summary and recommendations: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the Guidelines for Ambulatory Electrocardiography): Developed in Collaboration with the North American Society for Pacing and Electrophysiology,” Circulation, vol. 100, no. 8. Lippincott Williams and Wilkins, pp. 886–893, Aug. 24, 1999. Doi:10.1161/01.CIR.100.8.886.; Sayed Khaled, A. Khalaf, and Y. Kadah, “Arrhythmia classification based on novel distance series transform of phase space trajectories,” Annu Int Conf IEEE Eng Med Biol Soc, pp. 5195– 8, 2015, Doi:10.1109/EMBC.2015.7319562.; M. Alvarez and R. Henao, “Combinacion de ppca y hmm para la identificación de infarto agudo de miocardio,” Scientia Et Technica, vol. 3, no. 32, pp. 139–144, 2006, doi: https://doi.org/10.22517/23447214.6253.; P. Laguna, A. Mark, A. Goldberg, and B. Moody, “A Database for Evaluation of Algorithms for Measurement of QT and Other Waveform Intervals in the ECG,” Compute Cardiol, pp. 673–76, 1997, Doi:10.1109/CIC.1997.648140.; A. L. Goldberger et al., “Physio Bank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.,” Circulation, vol. 101, no. 23, pp. 1–6, 2000, Doi:10.1161/01.cir.101.23.e215.; G. Moody and R. Mark, “The impact of the MIT-BIH Arrhythmia Database,” IEEE Engineering in Medicine and Biology Magazine, vol. 20, no. 3, pp. 45–50, 2001, Doi:10.1109/51.932724.; A. Taddei et al., “The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography,” Eur Heart J, vol. 13, no. 9, pp. 1164– 1172, 1992, Doi:10.1093/oxfordjournals.eurheartj.a060332.; R. Bousseljot, D. Kreiseler, and A. Schnabel, “Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet,” Biomedizinische Technik, vol. 40, pp. 317–318, 1995, Doi: https://doi.org/10.1515/bmte.1995.40.s1.317.; F. Nolle, J. Badura, R. Catlett, H. Bowser, and M. Sketch, “CREI-GARD, a new concept in computerized arrhythmia monitoring systems,” Computers in Cardiology , pp. 515–518, 1987.; W. T. Cheng and K. L. Chan, “Classification of electrocardiogram using hidden Markov models,” Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. , vol. 20, no. 1, pp. 143–46, 1998, Doi:10.1109/IEMBS.1998.745850.; D. V. Filho and A. M. Cavalcanti, “MODELO PARA ANÁLISE DE ARRITMIAS CARDÍACAS USANDO CADEIAS DE MARKOV,” Proceedings of the XII SIBGRAPI , pp. 101–104, 1999, Accessed: Sep. 11, 2023. [Online]. Available: http://www.din.uem.br/sbpo/sbpo2005/pdf/arq0174.pdf; V. Kalidas and L. S. Tamil, “Detection of atrial fibrillation using discrete-state Markov models and Random Forests,” Compute Biol Med, vol. 113, pp. 1–14, Oct. 2019, Doi:10.1016/j.compbiomed.2019.103386.; P. Cheng and X. Dong, “Life-threatening ventricular arrhythmia detection with personalized features,” IEEE Access, vol. 5, pp. 14195–14203, Jul. 2017, Doi:10.1109/ACCESS.2017.2723258.; F. Nilsson, M. Stridh, and L. Sörnmo, “Frequency Tracking of Atrial Fibrillation using Hidden Markov Models,” Conf Proc IEEE Eng Med Biol Soc., pp. 1406–9, 2006, Doi:10.1109/IEMBS.2006.259677.; J. Oliveira, C. Sousa, and M. Coimbra, “Coupled hidden Markov model for automatic ECG and PCG segmentation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, pp. 1023–27, 2017, Doi:10.1109/ICASSP.2017.7952311.; S. Petrutiu, A. V. Sahakian, and S. Swiryn, “Abrupt changes in fibrillatory wave characteristics at the termination of paroxysmal atrial fibrillation in humans,” Europace, vol. 9, no. 7, pp. 466– 470, Jul. 2007, Doi:10.1093/europace/eum096.; M. A F Pimentel, M. D. Santos, D. B. Springer, and G. D. Clifford, “Heart beat detection in multimodal physiological data using a hidden semi-Markov model and signal quality indices,” Physio Meas, vol. 36, no. 8, pp. 1717–1727, Aug. 2015, Doi:10.1088/0967-3334/36/8/1717.; A. K. Sangaiah, M. Arumugam, and G. Bin Bian, “An intelligent learning approach for improving ECG signal classification and arrhythmia analysis,” Artif Intell Med, vol. 103, pp. 1–14, Mar. 2020, Doi:10.1016/j.artmed.2019.101788.; H. Kwok, J. Coult, J. Blackwood, N. Sotoodehnia, P. Kudenchuk, and T. Rea, “A method for continuous rhythm classification and early detection of ventricular fibrillation during CPR,” Resuscitation, pp. 90–97, 2022, Doi:10.1016/j.resuscitation.2022.05.019.; L. A. Levin et al., “A cost-effectiveness analysis of screening for silent atrial fibrillation after ischaemic stroke,” Europace, vol. 17, no. 2, pp. 207–214, Dec. 2014, Doi:10.1093/europace/euu213.; G. H. Tison, J. Zhang, F. N. Delling, and R. C. Deo, “Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery,” Circ Cardiovasc Qual Outcomes, vol. 12, no. 9, pp. 1–12, Sep. 2019, Doi:10.1161/CIRCOUTCOMES.118.005289.; W. H. Tang, W. H. Ho, and Y. J. Chen, “Retrieving hidden atrial repolarization waves from standard surface ECGs,” Biomed Eng Online, vol. 17, pp. 1–11, Nov. 2018, Doi:10.1186/s12938-018-0576-3.; M. Altuve, G. Carrault, A. Beuchée, P. Pladys, and A. I. Hernández, “Online apnea–bradycardia detection based on hidden semi-Markov models,” Med Biol Eng Compute, vol. 53, no. 1, pp. 1– 13, Jan. 2015, Doi:10.1007/s11517-014-1207-1.; S. Masoudi and et al., “Early detection of apnea-bradycardia episodes in preterm infants based on coupled hidden Markov model,” IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, pp. 243–48, 2013, Doi:10.1109/ISSPIT.2013.6781887.; N. Montazeri Ghahjaverestan, M. B. Shamsollahi, D. Ge, A. Beuchée, and A. I. Hernández, “Apnea bradycardia detection based on new coupled hidden semi Markov model,” Med Biol Eng Comput, pp. 1–11, 2020, Doi:10.1007/s11517-020-02277-8.; A. Sadoughi, M. B. Shamsollahi, E. Fatemizadeh, A. Beuchée, A. I. Hernández, and N. Montazeri Ghahjaverestan, “Detection of Apnea Bradycardia from ECG Signals of Preterm Infants Using Layered Hidden Markov Model,” Ann Biomed Eng, vol. 49, no. 9, pp. 2159–2169, Sep. 2021, Doi:10.1007/s10439-021-02732-z.; E. D. Übeyli, “Combining recurrent neural networks with eigenvector methods for classification of ECG beats,” Digital Signal Processing: A Review Journal, vol. 19, no. 2, pp. 320–329, 2009, Doi:10.1016/j.dsp.2008.09.002.; C. Zhang, G. Wang, J. Zhao, P. Gao, J. Lin, and H. Yang, “Patient-specific ECG classification based on recurrent neural networks and clustering technique,” 2017 13th IASTED International Conference on Biomedical Engineering (BioMed), Innsbruck, Austria, pp. 63–67, 2017, Doi:10.2316/P.2017.852-029.; Z. Xiong, M. K. Stiles, and J. Zhao, “Robust ECG signal classification for detection of atrial fibrillation using a novel neural network,” in Computing in Cardiology, IEEE Computer Society, 2017, pp. 1–4. Doi:10.22489/CinC.2017.066-138; M. Liam and F. Precioso, “Atrial fibrillation detection and ECG classification based on convolutional recurrent neural network,” in Computing in Cardiology, IEEE Computer Society, 2017, pp. 1–4. Doi:10.22489/CinC.2017.171-325.; Y. C. Chang, S. H. Wu, L. M. Tseng, H. L. Chao, and C. H. Ko, “AF Detection by Exploiting the Spectral and Temporal Characteristics of ECG Signals with the LSTM Model,” in Computing in Cardiology, IEEE Computer Society, Sep. 2018, pp. 1–4. Doi:10.22489/CinC.2018.266.; H. W. Lui and K. L. Chow, “Multiclass classification of myocardial infarction with convolutional and recurrent neural networks for portable ECG devices,” Inform Med Unlocked, vol. 13, pp. 26–33, Jan. 2018, Doi:10.1016/j.imu.2018.08.002.; G. D. Clifford et al., “AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017,” in Computing in Cardiology, IEEE Computer Society, 2017, pp. 1–4. Doi:10.22489/CinC.2017.065-469.; S. Singh, S. K. Pandey, U. Pawar, and R. R. Janghel, “Classification of ECG Arrhythmia using Recurrent Neural Networks,” Procedia Compute Sci, vol. 132, pp. 1290–1297, 2018, Doi:10.1016/j.procs.2018.05.045.; Li X, Qi X, Chen Z, Hou Y, Yang Y, and Liang Q, “Affective Stress Rating Method Based on Improved Hidden Markov Model,” Chinese, vol. 33, no. 3, pp. 533–538, 2016.; C. Ying, Z. Xin, and C. Wenxi, “Automatic sleep staging based on ECG signals using hidden Markov models,” Annu Int Conf IEEE Eng Med Biol Soc ., pp. 530–3, 2015, Doi:10.1109/EMBC.2015.7318416.; F. Sandberg, M. Stridh, and L. Sörnmo, “Frequency tracking of atrial fibrillation using hidden Markov models,” IEEE Trans Biomed Eng, vol. 55, no. 2, pp. 502–511, Feb. 2008, Doi:10.1109/TBME.2007.905488.; L. Rincón, “Introducción a los procesos estocásticos,” UNAM, México, pp. 120-180, 2011. [Online]. Available: http://www.matematicas.unam.mx/lars; A. Alaa, S. Hu, and M. Schaar, “Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis,” International Conference on Machine Learning , pp. 60–69, 2017, Doi: https://doi.org/10.48550/arXiv.1705.05267.; J. Bilmes, “A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models,” International computer science institute, vol. 4, no. 510, p. 126, 1998, Accessed: Sep. 11, 2023. [Online]. Available: https://f.hubspotusercontent40.net/hubfs/8111846/Unicon_October2020/pdf/bilmes-emalgorithm.pdf; L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,” Proceedings of the IEEE, vol. 77, no. 2, pp. 257–286, 1989, Doi:10.1109/5.18626.; A. Cohen, “Hidden Markov models in biomedical signal processing,” Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Biomedical Engineering Towards the Year 2000 and Beyond, vol. 3, pp. 1145–50, 1998, Doi:10.1109/IEMBS.1998.747073; Al-Hamadi, H., Gawanmeh, A., & Al-Qutayri, M. (2016). An automatic ECG generator for testing and evaluating ECG sensor algorithms. Proceeding of 2015 10th International Design and Test Symposium, IDT 2015, 78-83. https://doi.org/10.1109/IDT.2015.7396740; Yener, S. C., & Mutlu, R. (2018). A microcontroller-based ECG signal generator design utilizing microcontroller PWM output and experimental ECG data. 2018 ElectricElectronics, Computer Science, Biomedical Engineering’s’ Meeting, EBBT 2018, 1-4. https://doi.org/10.1109/EBBT.2018.8391465; Bear, M., Connors, B., & Paradiso, M. (2016). Neuroscience: Exploring the Brain. Wolters Kluwer. https://books.google.com.co/books?id=vVz4oAEACAAJ; López Chávez, H. I. (2020). Detección de la LRD en el ritmo cardiaco. APUNTES DE CLASE.; Park, K., & Willinger, W. (2000). Self-Similar Network Traffic and Performance Evaluation (1st). John Wiley & Sons, Inc.; Orozco, S. L., Cerda Villafaña, G., Cervantes, G. A., & Cisneros, M. T. (2010). Analysis of LRD Series with Time-Varying Hurst Parameter Análisis de Series LRD con Parámetro de Hurst Variante en el Tiempo. 13 (3), 295-312. http://www.fimee.ugto.mx/profesores/sledesma/documentos/; Ceballos, R. F., & Largo, F. F. (2018). On The Estimation of the Hurst Exponent Using Adjusted Rescaled Range Analysis, Detrended Fluctuation Analysis and Variance Time Plot: A Case of Exponential Distribution; Pujolle, G., Perros, H., Fdida, S., Korner, U., & Stavrakakis, I. (2000). Networking 2000 Broad- band Communications, High Performance Networking, and Performance of Communication Networks: IFIP-TC6/European Commission International Conference Paris, France, May 14–19, 2000 Proceedings. https://doi.org/10.1007/3-540-45551-5; Sheluhin, O., Smolskiy, S., & Osin, A. (2007). Self-Similar Processes in Telecommunications. John Wiley &; Sons, Inc.; Simonsen, I., Hansen, A., & Nes, O. M. (1998). Determination of the Hurst exponent by use of wavelet transforms. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 58 (3), 2779-2787. https://doi.org/10.1103/PhysRevE.58.2779; R. A. Robayo Salazar, P. E. Mattey Centeno, Y. F. Silva Urrego, D. M. Burgos Galindo y S. Delvasto Arjona, «Los residuos de la construcción y demolición en la ciudad de Cali: un análisis hacia su gestión, manejo y aprovechamiento,» Tecnura, vol. 19, nº 44, pp. 157-170, 2015.; Observatorio Ambiental de Bogotá, «Observatorio Ambiental de Bogotá,» 30 Julio 2023. [En línea]. Available: https://oab.ambientebogota.gov.co/residuos-de-construccion-ydemolicion/. [Último acceso: septiembre 2023].; Invías, «Normas y especificaciones 2012 invías,» 2012. [En línea]. Available: https://www.umv.gov.co/sisgestion2019/Documentos/APOYO/GLAB/GLAB-DE003_V1_Normas_Invias_Seccion_400-13.pdf. [Último acceso: septiembre 2023].; Normas técnicas Colombianas, «Concretos, especificaciones de los agragados para concreto NTC 174,» p. 5, 2000. [En línea]. Available: https://www.emcali.com.co/documents/148832/183512/NTC+174+de+2000.pdf/. [Último acceso: Septiembre 2023].; J. L. Rojas Ramírez y J. E. Berrío Mutiz, «Elaboración de concreto a partir de material de escombros de concreto,» Quindío - Colombia, 2019.; B. E. García Velásquez y L. M. Díaz Morales, «Proyecto de investigación evaluación de la resistencia a la compresión del concreto utilizando el cuesco proveniente de los residuos de fruto fresco de la palma africana y el concreto de residuos de construcción y demolición en obras civiles (rcd),» Villavicencio, 2019.; S. Peña Muñoz, J. F. Terán Puerta, J. A. Molina Sánchez, H. D. Cañola, A. BuilesJaramillo y . J. Ubany Zuluaga, «Evaluación de las propiedades de residuos de construcción y demolición de concreto,» Cuaderno, vol. 10, nº 1, pp. 79-90, 2018.; L. Perez Hernández, J. Gomez Chimento, A. Contreras Bravo y Padilla RuizLiseth, «Resistencia a la compresión del concreto,» Researchgate, Octubre 2018.; L. León Consuegra y M. Hernández Puentes, «Comparación de los valores de resistencia a compresión del hormigón a la edad de 7 y 28 días.,» Revista de Arquitectura e Ingeniería, vol. 10, nº 1, pp. 1-9, 2016.; À. Alegre Arias, «Hormigones en masa con áridos reciclados procedentes de rcd para su uso en la fabricación de bloques de defensa portuarios.,» Barcelona, 2012.; G. Bossini, M. G. Nuñez Cáceres y H. D. Anaya, «Influencia de agregados reciclados provenientes de (RCD) en hormigón,» de IX Jornadas de ciencias y tecnologías de facultades de ingeniería del NOA, Santiago del Estero, 2018.; C. J. Zega, «Hormigones reciclados: caracterización de los agregados gruesos reciclados,» (Tesis de maestría), p. 28, 2008.; E. Pavón, M. Etxeberria y I. Martínez, «Propiedades del hormigón de árido reciclado fabricado con adiciones, activa e inerte,» Revista de la construcción, vol. 10, nº 3, pp. 4- 15, 2011.; S. P. Muñoz Perez, D. M. Diaz Sanchez, E. E. Gamarra Capuñay y J. A. Chaname Bustamante , «La influencoa de los RCD en reemplazo de los agregados para la elaboración del concreto: una revisión literaria,» Ecuadorian Science Journal, vol. 5, nº 2, pp. 107-120, 2021.; C. A. Pacheco Bustos, L. G. Fuentes Pumarejo, É. H. Sánchez Cotte y H. A. Rondón Quintana, «Residuos de construcción y demolición (RCD), una perspectiva de aprovechamiento para la ciudad de barranquilla desde su modelo de gestión,» Ingeniería y Desarrollo, vol. 35, nº 2, pp. 533-555, 2017.; IEEE, IEEE Standard for Information technology—Telecommunications and information exchange between systems Local and metropolitan area networks—Specific requirements - Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, vol. 2020. 2016. [Online]. Available: http://www.ieee.org/web/aboutus/whatis/policies/p9- 26.html.%0Ahttps://standards.ieee.org/standard/802_11ax-2021.html; “El nuevo 802.11ah conoce todo sobre Wi-Fi HaLow" :: Tecnocompras.” https://tecnocompras6.webnode.com.co/news/el-nuevo-802-11ah-conoce-todo-sobrewi-fi-halow/ (accessed Mar. 23, 2023).; Guías de Laboratorio para el estudio de señales Wi-Fi con el Equipo ANRITSU MS2830A de la Universidad Distrital Francisco José de Caldas, Manuel Fernando Cañas Soto, Brayan Alexander Estupiñan Avellaneda, José David Cely Callejas UDFJC 2023; M. Viseras, “Diseño De Una Guia De Prácticas De Laboratorio De Acuerdo Con Las Orientaciones Del Eees,” Enseñanza las Ciencias, Número Extra VIII Congr. Int. sobre Investig. en Didáctica las Ciencias, no. 1, pp. 1228–1233, 2009, [Online]. Available: https://pt.scribd.com/document/320878666/DISENO-DE-UNA-GUIA-DEPRACTICAS-DE-LABORATORIO-DE-ACUERDO-CON-LAS-ORIENTACIONESDEL-EEES; A. Alilla, A. Di Carlofelice, M. Faccio, I. Lucresi, and P. Tognolatti, “Software-defined satellite ranging measurements using laboratory signal analyzer,” 2014 IEEE Int. Work. Metrol. Aerospace, Metroaerosp. 2014 - Proc., pp. 332–336, 2014, doi:10.1109/METROAEROSPACE.2014.6865944.; P. Brochure, “Signal Analyzer,” SpringerReference, 2011, doi:10.1007/springerreference_24743.; A. Torres, “Ubiquiti airFiber – ¿Qué es BER (tasa de error de bit) en los radios airFiber? %7C Base de Conocimiento,” Ubiquiti. https://soporte.syscom.mx/es/articles/1439450- ubiquiti-airfiber-que-es-ber-tasa-de-error-de-bit-en-los-radios-airfiber (accessed Jul. 19, 2022).; O. Hernandez Cruz, “Diagrama de constelacion y modulaciones digitales avanzadas - Omar Hernández Cruz 17110937 Diagrama - StuDocu,” Universidad TecMilenio, 2021. https://www.studocu.com/es-mx/document/universidad-tecmilenio/ingenieria-decontrol/diagrama-de-constelacion-y-modulaciones-digitales-avanzadas/12619514 (accessed Jul. 19, 2022).; “Diagrama de constelación %7C PROMAX,” PROMAX, 2017. https://www.promax.es/esp/noticias/516/diagrama-de-constelacion/ (accessed Jul. 19, 2022).; Tektronix, “What Are Vector Network Analyzers %7C VNAs Explained %7C Tektronix.” https://www.tek.com/en/documents/primer/what-vector-network-analyzer-and-howdoes-it-work (accessed Jul. 19, 2022).; Tektronix, “Signal Generator %7C Tektronix.” https://www.tek.com/en/products/signalgenerators (accessed Jul. 19, 2022).; “Modelo pedagógico de la Facultad de Comunicaciones de la Universidad de Antioquia,” Feb. 2016. https://www.udea.edu.co/wps/wcm/connect/udea/fcc26266- 11ae-42c5-87abd8025d2bec9/MODELO+PEDAGÓGICO.pdf?MOD=AJPERES&CVID=lsLGwgF (accessed Aug. 05, 2022).; D. Noreña, “EL CONCEPTO DE PEDAGOGÍA EN LA OBRA PEDAGÓGICA DE RAFAEL FLÓREZ OCHOA ,” Univ. ANTIOQUIA Fac. Educ. Dep. Educ. Av. Maest. EN Educ. ÉNFASIS EN Form. Maest. , 2007, Accessed: Aug. 05, 2022. [Online]. Available: http://ayura.udea.edu.co:8080/jspui/bitstream/123456789/624/1/AA0384.pdf; M. Rosales, “Proceso evaluativo: evaluación sumativa, evaluación formativa y Assesment su impacto en la educación actual”; L. A. N. M. A. N. Committee, IEEE Std 802.11-2007: IEEE Standard for Information Technology-Telecommunications and Information Exchange between Systems-Local and Metropolitan Area Networks-Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY, vol. 2020. 2007. [Online]. Available: http://scholar.google.com/scholar?q=related:K_aQPLd0dskJ:scholar.google.com/&hl= en&num=30&as_sdt=0,5%5Cnpapers3://publication/uuid/E731D645-DF33-45B5- 8882-A665213EA9D8; Anritsu MU181020A PPG 12.5Gb/s, “Anritsu corporation,” Analyzer, vol. 2, [Online]. Available: http://downloadfile.anritsu.com/Files/en-AU/Manuals/OperationManual/mu181020a_b_opm_e_17_0.pdf?f4739ea0f83b43ad1015d3937dbcf8be3aec 8f5de0897d0d745727bbd0217d9fa6b870ff705096c9d9cc39a9b064dd864b08e68938f 9ab5b245ce1c65ef3fe95eedc18d74c3ebd6bb939613a825ffb7; “Qué bandas de frecuencias WiFi hay: Explicación 2.4 GHz, 5 GHz y 6 GHz.” https://www.redeszone.net/tutoriales/redes-wifi/bandas-frecuencias-wi-fi/ (accessed Mar. 23, 2023).; F. G. Landa Barra, “Huella de carbono del transporte urbano para un plan de reducción de gases de efecto invernadero Puno 2021,” Repositorio Institucional - UCV, 2022, Accessed: Nov. 14, 2022. [Online]. https://repositorio.ucv.edu.pe/handle/20.500.12692/88703; S. Ankathi, Z. Lu, G. G. Zaimes, T. Hawkins, Y. Gan, and M. Wang, “Greenhouse gas emissions from the global transportation of crude oil: Current status and mitigation potential,” J Ind Ecol, 2022. https://doi.org/10.1111/jiec.13262; P. D. Faustino M. G., P. D. Florez S. Elkin, and M. Sc Guerrero G. G., “Mercados de energía en Colombia, una introducción,” 2021, Accessed: Nov. 14, 2022. [Online]. https://www.unipamplona.edu.co/unipamplona/portalIG/home_10/recursos/2021/documentos/ 19072021/mercados_energia.pdf.; A. Fernando et al., “Modelo de negocio para la implementación de estaciones de carga para vehículos eléctricos, en la empresa Biored energy,” 2020, Accessed: Nov. 26, 2022. [Online]. https://repository.udistrital.edu.co/handle/11349/28048.; Catagnia Chicaiza, L. D. (2020). Estimación de costos de energía eléctrica para la recarga de vehículos eléctricos basado en la óptima respuesta de la demanda (Bachelor's thesis). http://dspace.ups.edu.ec/handle/123456789/19333.; C. D. C. , Acosta Blanquiceth, J. M. , Chumbe Macana, J. F. , Ortigoza Ulloa, S. D. Palencia Pulido, and Sarmiento Baquero, “Estudio de factibilidad de la instalación de puntos de recarga para vehículos eléctricos en la ciudad de Bogotá,” 2021. https://hdl.handle.net/10882/11290; M. M. Rodríguez, “Impacto. Diseño de estaciones de carga eléctrica sostenible para vehículos eléctricos en Bogotá.,” 2021, Accessed: Nov. 26, 2022. [Online]. Available: http://repositorio.uan.edu.co/handle/123456789/1639.; Departamento Administrativo Nacional de Estadística, url: https://www.dane.gov.co.; Departamento Administrativo Nacional de Estadística https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-ypoblacion/proyecciones-de-poblacion.; Secretaría Distrital de Movilidad. https://www.movilidadbogota.gov.co/; Datos abiertos Bogotá. http://www.ideca.gov.co/recursos/glosario/datos-abiertos/.; Datos abiertos Bogotá. https://datosabiertos.bogota.gov.co/.; OpenStreetMap. https://www.openstreetmap.org/; F. C. Arias, “Estadística Espacial: Fundamentos y aplicación con Sistemas de Información Geográfica,” Revista Cartográfica, no. 105, 2022, doi:10.35424/rcarto.i105.1388. https://doi.org/10.35424/rcarto.i105.1388; V. Gómez Rubio, “Una introducción a la estadística espacial,” Boletín de Estadística e Investigación Operativa, vol. 38, 2022. https://www.seio.es/beio/una-introduccion-a-la-estadistica-espacial/; A. Rangel, A. Sánchez Ipia, W. Siabato, and J. Cely, “Geoestadística aplicada a estudios de contaminación ambiental,” UD y la Geomática, vol. 7 No.2, 2002. https://dialnet.unirioja.es/servlet/articulo?codigo=4797355.; D. Pascual, F. Pla, and S. Sánchez, “Algoritmos de agrupamiento,” Unpublished, 2007. https://repositorio.uci.cu/jspui/handle/123456789/7202; S. Wang, L. Sun, J. Rong, and Z. Yang, “Transit traffic analysis zone delineating method based on Thiessen polygon,” Sustainability (Switzerland), vol. 6, no. 4, 2014, doi:10.3390/su6041821. https://doi.org/10.3390/su6041821; “Geometría computacional,” http://asignatura.us.es/fgcitig/contenidos/gctem3ma.htm.; G. C. Henriques, “Arquitetura algorítmica: Técnicas, processos e fundamentos,” ENANPARQ IV Encontro da Associação Nacional de Pesquisa e Pós-Graduação em Arquitetura e Urbanismo, vol. 1, no. Sessão temática: projeto digital e fabricação na arquitetura, 2016.DOI:10.13140/RG.2.1.3479.3209; L. Jáuregui Álvarez and C. Vázquez Martínez, “MODELO DE NEGOCIO PARA LA GESTIÓN DE PUNTOS DE RECARGA Y ESTACIONAMIENTO NOCTURNO DE TURISMOS ELÉCTRICOS.” https://oa.upm.es/63478/; J. D. Gallo-Sanabria, P. A. Mozuca-Tamayo and R. I. Rincón-Fonseca, “Autonomous trajectory following for an UAV based on computer vision”, Visión electrónica, algo más que un estado sólido, vol. 14, no. 1, 2020; F. Campos Archila, V. Pinzón Saavedra, y F. Robayo Betancourt, “Fuzzy control of quadrotor Ar. Drone 2.0 in a controlled environment”, Vis. Electron., vol. 13, n.º 1, pp. 39–49, feb. 2019.; ] “Generación Eléctrica - Qué es, cómo se produce, renovables”. Concepto. Accedido el 27 de septiembre de 2023. https://concepto.de/generacion-electrica/; A. Gutierres. “Energías renovables: energías para un futuro más seguro”. Organizacion de las Naciones Unidas. Accedido el 1 de septiembre de 2023. https://www.un.org/es/climatechange/raising-ambition/renewable-energy; ] “Datos sobre producción eléctrica %7C Estadísticas mundiales sobre electricidad %7C Enerdata”. Estadísticas energéticas mundiales %7C Enerdata. Accedido el 27 de septiembre de 2023. https://datos.enerdata.net/electricidad/estadisticas-mundiales-produccion-electricidad.html; M. a. tamayo rincon, “PANORAMA ACTUAL DE LA GENERACIÓN HIDRÁULICA EN COLOMBIA Y ANTIOQUIA ANTE EL CRECIMIENTO DE LA DEMANDA DE ENERGÍA”, monografia, Univ. Antioquia, Medellin, 2022.; J. Rosero, L. Morales y D. Pozo, “Fuentes de Generación de Energía Eléctrica Convencional y Renovable a Nivel Mundial”, Rev. Politec., vol. 32, n.º 2, p. 13, 2013.; Malagón, E., 2020. La Hidroelectricidad, La Mayor Fuente De Energía Sostenible. ¡Aquí Te Decimos Por Qué! - Energía Para El Futuro. [Online] Energía para el futuro. Available at: [Accessed 21 October 2020].; Khan, A. A., & Khan, M. R. (2015). A simple and economical design of micro-hydro power generation system. 2015 Power Generation Systems and Renewable Energy Technologies, PGSRET 2015. https://doi.org/10.1109/PGSRET.2015.7312183; Ferro, L. M. C., Gato, L. M. C., & Falcão, A. F. O. (2011). Design of the rotor blades of a mini hydraulic bulb-turbine. Renewable Energy, 36(9), 2395–2403. https://doi.org/10.1016/j.renene.2011.01.037; E. R. Oviedo Ocaña, “Las Hidroeléctricas: efectos en los ecosistemas y en la salud ambiental”, Rev. Univ. Ind. Santander., vol. 50, n.º 3, 2018.; E. Sierra Vargas, A. F. Sierra Alarcon y C. A. Guerrero Fajardo. “Pequeñas y microcentrales hidroeléctricas: alternativa real de generación eléctrica. %7C Informador Técnico”. Revistas SENA. Accedido el 27 de septiembre de 2023. https://revistas.sena.edu.co/index.php/inf_tec/article/view/22/3439#info; Villarreal, J. L. S., Avalos, P. G., Galvan Gonzalez, S. R., & Dominguez Mota, F. J. (2019). Estimate electrical potential of municipal wastewater through a micro-hydroelectric plant. 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018, Ropec. https://doi.org/10.1109/ROPEC.2018.8661411; Qusay F. Hassan, "An Overview of Enabling Technologies for the Internet of Things," in Internet of Things A to Z: Technologies and Applications, IEEE, 2018, pp.77-112, doi:10.1002/9781119456735.ch3.; Hernandez Sampieri, R., Baptista Lucio, M. d. P., & Fernandez Collado, C. (2014). Metodologia de la investigacion (6a ed.). McGRAW-HILL / INTERAMERICANA EDITORES, S.A. DE C.V.; C M, S., Honnasiddaiah, R., Hindasageri, V., & Madav, V. (2021). Studies on application of vertical axis hydro turbine for sustainable power generation in irrigation channels with different bed slopes. Renewable Energy, 163, 845–857. https://doi.org/10.1016/j.renene.2020.09.015; Elbatran, A. H., Yaakob, O. B., Ahmed, Y. M., & Jalal, M. R. (2015). Novel approach of bidirectional diffuser-augmented channels system for enhancing hydrokinetic power generation in channels. Renewable Energy, 83, 809–819. https://doi.org/10.1016/j.renene.2015.05.038; Lucas D. Spies, E. A. T., Laboratorio. (2015). Diseño y Fabricación de una Turbina Eólica de Eje Vertical Impulsada por Drag. Revista Tecnología y Ciencia, 319–328.; Acevedo L, Lopez J, Sanchez S, (2008) Diseño de una turbina Banki para la recolección de aguas y generación de energía en una propiedad agrícola. Universidad tecnológica de Pereira, ingeniería mecatronica: http://repositorio.utp.edu.co/dspace/bitstream/handle/11059/5770/62124A174.pdf;jsessionid=5 662092429514C805182C7EA731C6F45?sequence=1; Laboratorio de máquinas hidráulicas. (Universidad) (1923). Unidad 6 Turbina De Flujo Transversal O Michell Banki.2, 1–25. https://luiscalderonf.files.wordpress.com/2012/01/turbina-m-banki.pdf; Alfonso, C., & Gutiérrez, P. (2008). La turbina Mochell-Banki y su presencia en Colombia. Avances En Recursos Hidráulicos, 17, 33–42.; Bangi, V. K. T., Chaudhary, Y., Guduru, R. K., Aung, K. T., & Reddy, G. N. (2017). Preliminary investigation on generation of electricity using micro wind turbines placed on a car. International Journal of Renewable Energy Development, 6(1), 75–81. https://doi.org/10.14710/ijred.6.1.75-81; Ochoa, Y., Rodríguez, J., & Martínez, F. (2017). Sistema de regulación y control de carga para aerogenerador de baja potencia. Universidad Distrital Francisco José de Caldas - Facultad Tecnológica.; Hidrotu (empresa) "la turbina hidráulica del bulbo 0.1MW-10MW/la turbina del agua con descarga grande y el agua baja dirigen" Hoja técnica turbina de bulbo hidráulico., Spanish.hydrotu.com, 2020. [Online]. Available: http://spanish.hydrotu.com/china-; La_turbina_hidr_ulica_del_bulbo_0_1mw_10mw_la_turbina_del_agua_con_descarga_gra nde_y_el_agua_baja_di-295887.html. [Accessed: 08- Nov- 2020].; imagen turbina bulbo hidraulico- https://equipo2fae.wordpress.com/turbinas-kaplam/; Turbinas Kaplan. (2012). Recuperado 28 de diciembre de 2020, de EQUIPO2FAE website: https://equipo2fae.wordpress.com/turbinas-kaplam/; ] Vargas, J. A., Clavijo, F. V., & Torres Gómez, C. (2016). Desarrollo del prototipo de un hidrogenerador eléctrico como alternativa de generación de energía limpia en zonas rurales Development of the prototype of an electric hydro generator as an alternative for generating clean energy in rural areas. Ingeniare, 12(20), 91–101.; Naoe, N., Imazawa, A., Takehisa, K., & Nakamura, S. (2018). Bridge structure type micro hydropower-generating system and local region implementation. 2017 International Conference on Electrical, Electronics and System Engineering, ICEESE 2017, 2018-January, 78–83. https://doi.org/10.1109/ICEESE.2017.8298392; Plata, A. (2012). Diseño y desarrollo de un pico-generador hidroeléctrico para producción preindustrial. Universidad de Los Andes, 76.; Delgado Flores, A. F. (2016). Construcción de un convertidor CC-CC tipo reductor orientado a la enseñanza. Universidad Tecnológica de Pereira, 42.; Probe, M., & IoT, E. (2019). Power Consumption Measurements for IoT Applications Application Note. Rohde-Schwarz, 1–16.; Pane, D. N., Fikri, M. EL, & Ritonga, H. M. (2018). Análisis del consumo de energía promedio en dispositivos IoT de baja potencia con Blockchain como solución de seguridad. Journal of Chemical Information and Modeling, 53(9), 1689–1699.; Rose Karen, Eldridge Scott, C. L. (2015). LA INTERNET DE LAS COSAS-UNA BREVE RESEÑA. Internet Society, 83. https://doi.org/10.1007/978-0-85729-103-5_5; Kim, M., Lee, J., Kim, Y., & Song, Y. H. (2018). An analysis of energy consumption under various memory mappings for FRAM-based IoT devices. IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings, 2018-January, 574–579. https://doi.org/10.1109/WFIoT.2018.8355212; Bonilla-Fabela Isaias Tavizon-Salazar Arturo Morales-Escobar Melisa Guajardo Muñoz Luz Tania & Laines-Alamina Cristina Isabel, “ISSN: 2448-5101 Año 2 Número 1 Julio 2015 - Junio 2016 2313 IOT, EL INTERNET DE LAS COSAS Y LA INNOVACIÓN DE SUS APLICACIONES”, Trabajo de grado, UANL Sch. Busines, Mexico, 2016.; S. Et. al., “Internet of Things (IoT): A Review”, Turkish J. Comput. Math. Educ. (TURCOMAT), vol. 12, n.º 2, pp. 521–526, abril de 2021. Accedido el 27 de septiembre de 2023, https://doi.org/10.17762/turcomat.v12i2.871; ] J. Flores Zermeño y E. G. Cosio Franco, “Aplicaciones, Enfoques y Tendencias del Internet de las Cosas (IoT): Revisión Sistemática de la Literatura”, Academia J., vol. 13, n.º 9, p. 9, 2021.; C. Chuquimarca, “Análisis comparativo entre arquitecturas de sistemas IoT”, RITI J., vol. 10, n.º 21, p. 16, 2021.; Anonimo. “¿Qué son los sensores IoT y para qué sirven? ¡Descúbrelo! %7C Tokio”. Tokio School. Accedido el 27 de septiembre de 2023, https://www.tokioschool.com/noticias/sensores-IoT/; F. D. Acevedo Garcés, "Diseño de una instalación solar fotovoltaica con capacidad para 3 kilovatios," Universidad Nacional Abierta y a Distancia Colombia, 2016.; M. Caro and R. Alejandro, "Dilemas éticos en la ingeniería," Retrieved 11 de 10 de 2021, from http://repositorio.uchile.cl/handle/2250/113296, 2012.; P. A. Castiblanco F. Luz A., "Trabajo de campo Sistema de Generación," En P. A. Castiblanco F. Luz A., Madrid, Cundinamarca, Cundinamarca, 2021.; T. D. Corcobado, "Instalaciones Solares Fotovoltaicas ciclo formativo de grado medio," Mc Graw Hill, Madrid, España, 2010.; Ministerio de Energía, "Energías Renovables no convencionales," En M. d. Energía. https://www.minenergia.gov.co/energias-renovables-no-convencionales, 2021.; J. Gómez Ramírez, "La energía solar fotovoltaica en Colombia: potenciales, antecedentes y perspectivas," Bogotá, 2017.; C. Guerrero, "Proyecto de Factibilidad para uso de Paneles Solares en Generación Fotovoltaica de Electricidad en el Complejo Habitacional “San Antonio” de Riobamba (Bachelor's thesis)," Riobamba, Ecuador, Ecuador, 2013.; I. S. JORGE, "Instalación y mantenimiento de sistemas solares fotovoltaicos. Capítulo 1, tema 1-2: La célula fotovoltaica. {En línea}. https://311cie.files.wordpress.com/2014/09/tema-1-2-la-celula-fotovoltaica.pdf," 2016.; P. &.-P. Marín-Cots, "En un entorno de 15 minutos: hacia la Ciudad de Proximidad, y su relación con el Covid-19 y la Crisis Climática, el caso de Málaga," Málaga, España, 2020.; Ministerio de Minas y Energía, "Ley 143 de 1994," En i. d. Régimen para la generación. Bogotá. https://www.minenergia.gov.co/documents/10180/667537/Ley_143_1994.pdf, 1994.; Monsolar, "Catálogo de productos," https://www.monsolar.com/bateria-gel-victron12v-165ah.html, 2023.; NASA, "Power Data Access View," https://power.larc.nasa.gov/data-access-viewer/, 2023.; G. C. Orrego, "Serie 3 Solera SE19 ORREGO G. CESAR A. Madrid Cundinamarca," 2019; R. Ortega, "Energías Renovables," Paraninfo, 2000.; UPME-Ideam, "Proyecciones de precios de los energéticos para generación eléctrica enero 2014 – diciembre 2037,"http://www.sipg.gov.co/sipg/documentos/precios_combustibles/Termicas_Marzo_ 2014. pdf, 2014.; WWF, "Glosario ambiental : Acuerdo de París," En WWF, París, Francia. https://www.wwf.org.co/?334976/Glosario-ambiental--Sabes-que-se-pacto-en-elAcuerdo-deParis#:~:text=Colombia%20en%20el%20Acuerdo%20de,de%20emisiones%20nac ionales%20de%202010, 2016.; (n.d.), «Buildings – Analysis - IEA,» 17 Abril 2023. [En línea]. Available: https://www.iea.org/reports/buildings.; C. t. d. l. e. e. España, « Seguridad estructural,» Documento básico SE., España, 2019.; F. Nemry, A. Uihlein, M. Colodel, C. Wetzel, A. Braune, B. Wittstock, I. Hasan, J. Kreißig, N. Gallon, S. Niemeier y Y. Frech, «Options to reduce the environmental impacts of residential buildings in the European Union—Potential and costs,» Energy Build, vol. 42, pp. 976-984, 2010.; Z. Ma, P. Cooper, D. Darly y L. Ledo, «Existing building retrofits: Methodology and stateof-the-art,» Energy Build, pp. 889-902, 2012.; reco2st, «reco2st,» programa de Investigación e Innovación Horizonte 2020 de la Unión Europea, 2020. [En línea]. Available: https://reco2st.eu/innovation/technologies/. [Último acceso: 14 11 2022].; C. o. B. S. Engineers, « Energy Efficiency in Buildings: CIBSE Guide F,» Chartered Institution of Building Services Engineers, 2004.; Objetivos y metas de desarrollo sostenible, «17 objetivos para transformar nuestro mundo,» NACIONES UNIDAS, 2017. [En línea]. Available: https://www.un.org/sustainabledevelopment/es/sustainable-development-goals/. [Último acceso: Noviembre 2022].; M. Santamouris y K. Vasilakopoulou, «Present and future energy consumption of buildings: Challenges and opportunities towards decarbonisation,» Electronics and Energy, vol. 1, 2021.; n.d, «Energy Efficiency 2019 – Analysis - IEA,» 17 Abril 2023. [En línea]. Available: https://www.iea.org/reports/energy-efficiency-2019.; L. Biardeau, L. Davis, P. Gertler y C. Wolfram, «Heat exposure and global air conditioning,» Nat Sustain, vol. 3, p. 25–28, 2020.; MITMA, «Documento Básico HS Salubiridad,» Ministerio de Transporte, Movilidad y Agenda Urbana, 2022.; J. Pradillo, ENFRIAMIENTO ADIABÁTICO INDIRECTO MEDIANTE CICL0 DE MAISOTSENKO Y APLICACIONES, wolf, 2015.; F. Rabadán, Evaluación de medidas de eficiencia energética en el, Sevilla: Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, 2021.; ABECE, «teoria sobre climatización adiabática,» Enero 2021. [En línea]. Available: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://asociacionbioclimatica.es/wpcontent/uploads/2021/01/TECNOLOGIAS-ADIABA%CC%81TICAS.pdf. [Último acceso: Noviembre 2022].; J. M. Arroyo and F. J. Fernández, “A genetic algorithm for power system vulnerability analysis under multiple contingencies,” Stud. Comput. Intell., vol. 482, pp. 41–68, 2013, doi:10.1007/978-3-642-37838-6_2.; D. K. Mishra, M. J. Ghadi, A. Azizivahed, L. Li, and J. Zhang, “A review on resilience studies in active distribution systems,” Renew. Sustain. Energy Rev., vol. 135, no. March 2020, 2021, doi:10.1016/j.rser.2020.110201.; J. Colombi, John M.; Miller, Michael E.; Schneider, Michael; McGrogan, Jason; Long, David S.; Plaga, “Towards Affordably Adaptable and Effective Systems,” Syst. Eng., vol. 14, no. 3, pp. 305–326, 2012, doi:10.1002/sys.; B. De Ataque and R. D. L. Sistemas, “A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation,” Sci. Tech., vol. 25, no. 4, pp. 540–547, 2020, doi:10.22517/23447214.23721.; P. H. Corredor and M. E. Ruiz, “Mitigating the Impact of Terrorist Activity on Colombia’s Power System,” IEEE Power Energy Mag., vol. 9, no. 2, pp. 59–66, 2011.; S. Cai, Y. Xie, Q. Wu, and Z. Xiang, “Robust MPC-based microgrid scheduling for resilience enhancement of distribution system,” Int. J. Electr. Power Energy Syst., vol. 121, no. April, p. 106068, 2020, doi:10.1016/j.ijepes.2020.106068.; S. N. Emenike and G. Falcone, “A review on energy supply chain resilience through optimization,” Renew. Sustain. Energy Rev., vol. 134, no. September, p. 110088, 2020, doi:10.1016/j.rser.2020.110088.; Z. Wan, Y. Mahajan, B. W. Kang, T. J. Moore, and J. H. Cho, “A Survey on Centrality Metrics and Their Network Resilience Analysis,” IEEE Access, vol. 9, pp. 104773–104819, 2021, doi:10.1109/ACCESS.2021.3094196.; L. Lotero and R. G. Hurtado, “Vulnerabilidad De Redes Complejas Y Una Revisión De La Literatura Vulnerability of Complex Networks and Urban Transportation Applications : a Literature Review,” Rev. EIA, vol. 11, no. 11, pp. 67–78, 2015.; T. Conferencia, M. D. E. Las, and R. D. E. Desastres, “Tercera Conferencia Mundial de las Naciones Unidas sobre la Reducción del Riesgo de Desastres,” 2015.; D. Sage, P. Fussey, and A. Dainty, “Securing and scaling resilient futures: neoliberalization, infrastructure, and topologies of power,” Environ. Plan. D Soc. Sp., vol. 33, no. 3, pp. 494–511, 2015, doi:10.1068/d14154p.; J. Pilatásig Lasluisa, “Resiliencia de Sistemas Eléctricos de Potencia mediante la Conmutación de Líneas de Transmisión – Estado del arte,” I+D Tecnológico, vol. 16, no. 2, 2020, doi:10.33412/idt.v16.2.2834.; B. M. Qu, T. Ding, L. Huang, and X. Wu, “Toward a Global Green Smart Microgrid,” pp. 55–69, 2020.; T. Khalili, A. Bidram, and M. J. Reno, “Impact study of demand response program on the resilience of dynamic clustered distribution systems,” IET Gener. Transm. Distrib., vol. 14, no. 22, pp. 5230–5238, 2020, doi:10.1049/iet-gtd.2020.0068.; J. Wu, H. Z. Deng, Y. J. Tan, and D. Z. Zhu, “Vulnerability of complex networks under intentional attack with incomplete information,” J. Phys. A Math. Theor., vol. 40, no. 11, pp. 2665–2671, 2007, doi:10.1088/1751-8113/40/11/005.; M. Azeroual, T. Lamhamdi, H. El Moussaoui, and H. El Markhi, “Simulation tools for a smart grid and energy management for microgrid with wind power using multi-agent system,” Wind Eng., vol. 44, no. 6, pp. 661–672, 2020, doi:10.1177/0309524X19862755.; Y. Wang et al., “Coordinating multiple sources for service restoration to enhance resilience of distribution systems,” IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 5781–5793, 2019, doi:10.1109/TSG.2019.2891515.; Q. Shi et al., “Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience,” Int. J. Electr. Power Energy Syst., vol. 124, no. March 2020, p. 106355, 2021, doi:10.1016/j.ijepes.2020.106355.; K. Eshghi, B. K. Johnson, and C. G. Rieger, “Metrics required for power system resilient operations and protection,” Proc. - 2016 Resil. Week, RWS 2016, pp. 200–203, 2016, doi:10.1109/RWEEK.2016.7573333.; C. Ji, Y. Wei, and H. V. Poor, “Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics,” Proc. IEEE, vol. 105, no. 7, pp. 1354–1366, 2017, doi:10.1109/JPROC.2017.2698262.; D. J. M. Palacios, E. R. Trujillo, and J. M. López-Lezama, “Vulnerability analysis to maximize the resilience of power systems considering demand response and distributed generation,” Electron., vol. 10, no. 12, pp. 1–22, 2021, doi:10.3390/electronics10121498.; M. Bruneau et al., “A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities,” Earthq. Spectra, vol. 19, no. 4, pp. 733–752, 2003, doi:10.1193/1.1623497.; K. S. A. Sedzro, A. J. Lamadrid, and L. F. Zuluaga, “Allocation of Resources Using a Microgrid Formation Approach for Resilient Electric Grids,” IEEE Trans. Power Syst., vol. 33, no. 3, pp. 2633–2643, 2018, doi:10.1109/TPWRS.2017.2746622.; L. Yang, Y. Xu, H. Sun, M. Chow, and J. Zhou, “A multiagent system based optimal load restoration strategy in distribution systems,” Int. J. Electr. Power Energy Syst., vol. 124, no. May 2020, p. 106314, 2021, doi:10.1016/j.ijepes.2020.106314.; «Logra energía eólica a nivel mundial 1 TW de capacidad instalada», Energía Hoy. Accedido: 22 de agosto de 2023. [En línea]. Disponible en: https://energiahoy.com/2023/06/16/logra-energia-eolica-a-nivel-mundial-1-tw-de-capacidadinstalada/; P. M. Medina, «Colombia es uno de los países de la OCDE que más energía renovable genera», infobae. Accedido: 16 de agosto de 2023. [En línea]. Disponible en: https://www.infobae.com/colombia/2023/02/15/colombia-es-uno-de-los-paises-de-la-ocdeque-mas-energia-renovable-genera/; «Vista de Generador lineal para un generador eólico de baja potencia, selección, diseño y simulación en comsol multiphysic». Accedido: 16 de agosto de 2023. [En línea]. Disponible en: https://revistas.udistrital.edu.co/index.php/vinculos/article/view/18620/17571; Mohan Ned, Undeland Tore, Robbins William, ELECTRONICA DE POTENCIA: Convertidores, aplicaciones y diseño, 3.a ed. Mc Graw Hill, 2009.; «Simscape Electrical». Accedido: 21 de julio de 2023. [En línea]. Disponible en: https://la.mathworks.com/products/simscape-electrical.html; M. H. Rashid, Electrónica de Potencia, 2.a ed. PRENTICE HALL HISPANOAMERICANA, S.A, 1993.; «Introducción a la identificación de sistemas», TÉCNICA INDUSTRIAL. Accedido: 24 de agosto de 2023. [En línea]. Disponible en: https://www.tecnicaindustrial.es/introduccion-a-laidentificacion-de-sistemas/; «System Identification Toolbox». Accedido: 24 de agosto de 2023. [En línea]. Disponible en: https://la.mathworks.com/products/sysid.html; L. J. Marín y V. M. Alfaro, «Sintonización de controladores por ubicación de polos y ceros», 2007.; S. C, «CONTROLADOR PI - Asignación de Polos [FÁCIL - Aprende]», Control Automático Educación. Accedido: 24 de agosto de 2023. [En línea]. Disponible en: https://controlautomaticoeducacion.com/control-realimentado/controlador-pi-por-asignacionde-polos/; «CONTROLADOR PI - Asignación de Polos [FÁCIL - Aprende]». Accedido: 24 de agosto de 2023. [En línea]. Disponible en: https://controlautomaticoeducacion.com/controlrealimentado/controlador-pi-por-asignacion-de-polos/; S. C, « Control Fuzzy - Mamdani - Simulink - [agosto, 2023 ]», Control Automático Educación. Accedido: 24 de agosto de 2023. [En línea]. Disponible en: https://controlautomaticoeducacion.com/control-realimentado/control-fuzzy-mamdanisimulink/; Agencia Internacional de Energía (AIE), "Perspectivas de tecnología energética 2020", AIE, 2020.; MA Ortega-Vázquez, MV Salas y KE Yeager, "Recursos energéticos distribuidos y su integración en el sistema de energía eléctrica", Proc. IEEE, vol. 99, núm. 1, págs. 28–39, enero de 2011.; N. Hatziargyriou, H. Asano, R. Iravani y C. Marnay, "Microgrids", IEEE Power Energy Mag., vol. 5, núm. 4, págs. 78–94, julio de 2007.; R. Pérez-García, F. González-Longatt y S. Carneiro, "Review of Distributed Energy Resources Integration in the IEEE Standards", en 2020 IEEE PES Transmission & Distribution Conference and Exposition (T&D), 2020; AS Al-Mohammed, RMO Al-Mohammed y M. Al- Mansoori, "Impacto de los recursos energéticos distribuidos en la calidad de la energía en las redes inteligentes: una revisión integral", Energías, vol. 13, núm. 7, pág. 1580, 2020.; S. A. Abbas, S. F. Hasan, D. R. Shin, “Analyzing the Integration of Distributed Generation into Smartgrids,” College of Information and Communications Engineering. Sungkyunkwan University. IEEE, 2015); G. Gross, J. Heinemann y F. Siefert, "Integración de energías renovables y su impacto en las operaciones de red",en 2010 IEEE PES Innovative Smart Grid Technologies, 2010.; K. Wang, Z. Xu y H. Wang, "Estándar IEEE y su aplicación en la regulación de microrredes", en 2012 Tercera Conferencia Internacional sobre Control Inteligente y Procesamiento de Información, 2012.; HY Kim, YS Cho y SS Kim, "Una revisión de la investigación sobre modelado y análisis de microrredes", Renew. Sostener. Energía Rev., vol. 59, págs. 1634-1640, 2016.; SR Mohanty, SN Singh y A. Kishor, "Una revisión de los métodos de detección de islas para la generación distribuida", Renew. Sostener. Energía Rev., vol. 13, núm. 8, págs. 1801- 1818, 2009.; ] F. Katiraei, MR Iravani y PW Lehn, "Operación autónoma de microredes durante y después del proceso de aislamiento", IEEE Trans. Entrega de energía, vol. 20, núm. 1, págs. 248-257.; M. Stadler et al., "Asignación y envío óptimos de recursos de energía distribuida: una revisión", IEEE Trans. Sistema de energía, vol. 22, núm. 1, págs. 107-116, 2007.; P. Palensky y D. Dietrich, "Gestión del lado de la demanda: respuesta a la demanda, sistemas de energía y cargas inteligentes", IEEE Trans. Indiana Informática, vol. 7, núm. 3, págs. 381-388, 2011.; CA Silva, SJ Rider y CS Yim, "Sistemas de almacenamiento de energía eléctrica: un análisis comparativo del costo del ciclo de vida", Renew. Sostener. Energía Rev., vol. 14, núm. 9, págs. 2717-2726, 2010.; E. Muljadi, CP Butterfield, A. Ellis y J. Meiman, "EnergyStorage for Stabilization of Wind Power", IEEE Trans. Solicitud de Indiana, vol. 37, núm. 1, págs. 272-280, 2001.; L. Zhong, X. Fang, J. Chen y Z. Zhang, "Regulación de carga de recursos energéticos distribuidos mediante controlpredictivo de modelos", en 2015 IEEE Energy Conversion Congress and Exposition (ECCE), 2015.; P. Deane, G. O'Gallachoir y B. Ó. Gallachóir, "Revisión tecnoeconómica de una planta de almacenamiento de energía hidráulica por bombeo nueva y existente", Renovar. Sostener. Energía Rev., vol. 14, núm. 4, págs. 1293-1302, 2010.; E. Marín y P. Gómez, “Criterios e indicadores para la evaluación de la sostenibilidad de los sistemas energéticos”, Energía, vol. 32, núm. 12, págs. 2173-2181, 2007.; NK Roy, MT Naayagi y AM Ismail, "Análisis tecnoeconómico del sistema híbrido de almacenamiento deenergía para una planta de energía fotovoltaica independiente",Renew. Sostener. Energía Rev., vol. 69, págs. 1246-1256, 2017.; EG Talbi y K. Chekired, "Análisis económico y técnico de un sistema híbrido compuesto por paneles fotovoltaicos y baterías para un consumidor doméstico en Argelia", Energy Convers. Gestionar., vol. 47, núm. 18-19, págs. 3396-3409, 2006.; S. Deng, S. Zhong, Y. Fan y J. Du, "Operación óptima del almacenamiento de energía integrado y electrodomésticos inteligentes en microrredes considerando la respuesta a la demanda", IEEE Trans. Red inteligente, vol. 7, núm. 6, págs. 2831-2841, 2016.; https://hdl.handle.net/11349/40350

Availability: https://hdl.handle.net/11349/40350

AI in Scientific Research: Automation, Original Discovery, and Ethical Collaboration.

Alternate Title: La IA en la investigación científica: automatización, descubrimientos originales y colaboración ética. (Spanish)

Authors: Orjuela-Garzón, William Alejandro Andrade-Navia, Juan Manuel Mendez-Arteaga, Jonh Jairo et al.

Source: Data & Metadata; 2025, Vol. 4, p1-21, 21p

Contribution to the optimal design and performance improvement of wireless mesh sensor networks

Authors: Rodenas Herráiz, David

Thesis Advisors: García Sánchez, Antonio Javier, García Sánchez, Felipe

Subject Terms: Sistemas automatizados de control de calidad, Diseño de sistemas sensores, Redes locales inalambricas, Wireless Mesh Sensor Networks (WMSNs)

Access URL: http://hdl.handle.net/10317/4697

The labor market of digital labor platforms in Chile: companies, state regulation and workers.

Authors: Stecher, Antonio Morales, Karol Valenzuela, Alan

Source: Frontiers in Sociology; 2025, p1-19, 19p

XVI Congreso Internacional del Electrónica Control y Telecomunicaciones : “Consideraciones tecnocientíficas para un mundo pospandémico intensivo en conocimiento, innovación y desarrollo local sostenible” ; Libro de memorias : Vol 12 ; XVI International Congress of Control Electronics and Telecommunications: 'Techno-scientific considerations for a post-pandemic world intensive in knowledge, innovation and sustainable local development'

Authors: Guerra, Michael Espinosa Medina, Ricardo Sanchez-L, Daniel et al.

Contributors: Guerra, Michael Espinosa Medina, Ricardo Sanchez-L, Daniel et al.

Subject Terms: Redes neuronales convolucionales, Termodinámica, Diseño de prótesis, Diseño de prototipos, Algoritmos, Generadores eléctricos, Tendencias tecnológicas, Bioingeniería, Bioingeniería -- Congresos, conferencias, etc. -- Memorias, Energía -- Congresos, Sistemas de control inteligente -- Congresos, Procesamiento de señales -- Congresos, Automatización -- Congresos, etc. -- Memoria, Desarrollo de prototipos -- Congresos, Ingeniería biomédica -- Congresos, Redes eléctricas -- Congresos, Tecnologías de la información y de la comunicación -- Congresos, Procesamiento digital de imágenes -- Congresos, Redes neuronales (Computadores) -- Congresos, Nanotecnología -- Congresos, Telecomunicaciones -- Congresos, Convolutional Neural Networks, Thermodynamics, Prosthesis design

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Relation: L. Coffey, P. Gallager, O. Horgan, D. Desmond, and M. MacLachlan. “Psychosocial adjustment to diabetes‐related lower limb amputation”. Oxford, Diabetic Medicine, 2009, pp.1063–1067.; DANE. “Censo de Población y Viviendas 2018”. Bogotá, D.C, Departamento Administrativo Nacional de Estadística, 2018.; D. Silverthorn, “Fisiología humana: un enfoque integrado” , 4ta ed, reimp- Bogotá - Panamericána, 2009.; K.J. Zuo, and J. L. Olson. “The evolution of functional hand replacement”: From iron prostheses to hand transplantation. Plastic Surgery, 22(1), 44-51, 2014.; D. Foord. “CHANGES IN TECHNOLOGIES AND MEANINGS OF UPPER LIMB PROSTHETICS: PART I-FROM ANCIENT EGYPT TO EARLY MODERN EUROPE”. In MEC Symposium Conference, July 2020.; K. Ashmore, S. Cialdella, A. Giuffrida, E. Kon, M. Marcacci, and B. Di Matteo. “ArtiFacts: Gottfried “Götz” von Berlichingen—The “Iron Hand” of the Renaissance”. Clinical Orthopaedics and Related Research®, 477(9), 2002-2004, 2019.; K. Moore, and A. Dalley. “Clinically oriented anatomy”. 7ª ed, UK, Wolters Klawer, 2013.; Àngels. (2017, Jan 16). “Cómo se llaman los huesos de la mano” [Online]. Available at:https://www.mundodeportivo.com/uncomo/educacion/articulo/como-se-llaman-los-huesos-de-la-mano-40009.html.; B. Maat, G. Smit, D. Plettenburg, and P. Breedveld. “Passive prosthetic hands and tools: A literature review”. Prosthetics and orthotics international, 42(1), 66-74, 2018.; A. Chadwell, L. Kenney, S. Thies, A. Galpin, and J. Head. “The reality of myoelectric prostheses: understanding what makes these devices difficult for some users to control”. Frontiers in neurorobotics, 10, 7, 2016.; T. Fujimaki et al., “Prevalence of floating toe and its relationship with static postural stability in children: The Yamanashi adjunct study of the Japan Environment and Children’s Study (JECS-Y),” PLoS One, vol. 16, no. 3 March, pp. 1–8, 2021, doi:10.1371/journal.pone.0246010.; L. A. Luengas-C, D. C. Toloza, and L. F. Wanumen, “Utilización de la Teoría de la Información para evaluar el comportamiento de la estabilidad estática en amputaciones transtibiales,” RISTI - Rev. Ibérica Sist. e Tecnol. Informação, vol. 40, no. 12, pp. 15–30, 2020, doi:10.17013/risti.40.15–30.; B. Olsen et al., “The Relationship Between Hip Strength and Postural Stability in Collegiate Athletes Who Participate in Lower Extremity Dominant Sports,” Int. J. Sports Phys. Ther., vol. 16, no. 1, pp. 64–71, 2021, doi:10.26603/001c.18817.; L. A. Luengas C. and D. C. Toloza, Análisis de estabilidad en amputados transtibiales unilaterales. Bogota: UD Editorial, 2019.; M. F. Peydro de Moya, J. M. Baydal, and M. J. Vivas, “Evaluación y rehabilitación del equilibrio mediante posturografía,” Rehabilitación, vol. 39, no. 6, pp. 315–323, 2005.; L. A. Luengas-C, J. López, and G. Sánchez Prieto, “Comportamiento de rangos articulares con alineación en amputados transtibiales,” Visión Electrónica Más que un estado sólido, vol. 1, no. 1, pp. 48–52, 2018.; A. Ruhe, R. Fejer, and B. Walker, “The test-retest reliability of centre of pressure measures in bipedal static task conditions - A systematic review of the literature,” Gait and Posture, vol. 32, no. 4. pp. 436–445, Oct. 2010, doi:10.1016/j.gaitpost.2010.09.012.; P. Schubert, M. Kirchner, S. Dietmar, and C. T. Haas, “About the structure of posturography: Sampling duration, parametrization, focus of attention (part I),” J. Biomed. Sci. Eng., vol. 5, pp. 496–507, 2012, doi: http://dx.doi.org/10.4236/jbise.2012.59062.; F. Martínez-Solís et al., “Algorithm to estimate the knee angle in normal gait: trajectory generation approach to intelligent transfemoral prosthesis,” Rev. Mex. Ing. Biomédica, vol. 37, no. 3, pp. 221–233, Sep. 2016, doi:10.17488/RMIB.37.3.7.; S. A. Ahmadi et al., “Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway,” J. Neurol., vol. 266, no. s1, pp. 108–117, 2019, doi:10.1007/s00415-019-09458-y.; L. A. Luengas-C, “Computational Method to Verify Static Alignment of Transtibial Prosthesis,” Biomed. J. Sci. Tech. Res., vol. 31, no. 2, Oct. 2020, doi:10.26717/bjstr.2020.31.005074.; J. R. Chagdes, S. Rietdyk, M. H. Jeffrey, N. Z. Howard, and A. Raman, “Dynamic stability of a human standing on a balance board,” J. Biomech., vol. 46, no. 15, 2013, doi:10.1016/j.jbiomech.2013.08.012.; L. A. Luengas-C. and D. C. Toloza, “Frequency and Spectral Power Density Analysis of the Stability of Amputees Subjects,” TecnoLógicas, vol. 23, no. 48, pp. 1–16, 2020, doi: https://doi.org/10.22430/22565337.1453.; L. Verdichio, “Equilibrio y dominancia,” Universidad FASTA, 2016.; J. C. Segovia Martínez and J. C. Legido Arce, “Valores podoestabilométricos en la población deportiva infantil,” UNIVERSIDAD COMPLUTENSE DE MADRID, 2009.; B. Ristevski and M. Chen, “Big Data Analytics in Medicine and Healthcare,” J. Integr. Bioinform., vol. 15, no. 3, pp. 1–5, 2018, doi:10.1515/jib-2017-0030.; P. Schubert and M. Kirchner, “Ellipse area calculations and their applicability in posturography,” Gait Posture, vol. 39, no. 1, pp. 518–522, 2014, doi:10.1016/j.gaitpost.2013.09.001.; M. Duarte and S. M. Freitas, “Revision of posturography based on force plate for balance evaluation,” Rev. Bras. Fisioter., vol. 14, no. 3, pp. 183–192, 2010, doi: S1413-35552010000300003 [pii].; M. Duarte, “Comments on ‘ellipse area calculations and their applicability in posturography’ (schubert and kirchner, vol.39, pages 518-522, 2014),” Gait Posture, vol. 41, no. 1, pp. 44–45, 2015, doi:10.1016/j.gaitpost.2014.08.008.; M. Gómez, J. Serna, and L. Vélez, “Diagnosis of bearing with mechanical vibrations and virtual instruments,” Visión Electrónica Más que un estado sólido, vol. 8, no. 2, pp. 107–113, 2014.; Novel.de, “The pedar® system,” Novel GmbH, 2019. http://www.novel.de/novelcontent/pedar (accessed May 11, 2014).; D. A. Winter, Biomechanics and motor control of human movement, 4th ed. New Jersey: John Wiley & sons, Inc, 2009.; A. Bottaro, M. Casadio, P. G. Morasso, and V. Sanguineti, “Body sway during quiet standing: Is it the residual chattering of an intermittent stabilization process?,” in Human Movement Science, 2005, vol. 24, no. 4, pp. 588–615, doi:10.1016/j.humov.2005.07.006.; R. T. Disler et al., “Factors impairing the postural balance in COPD patients and its influence upon activities of daily living,” Eur. Respir. J., vol. 15, no. 1, 2019.; Bomberos Colombia. (2016). Guía para Certificar Equipos de Búsqueda y Rescate Urbano en los Cuerpos de Bomberos de Colombia. Disponible en: https://bomberos.mininterior.gov.co/sites/default/files/guia_final_bomberos_colombia_2017_.pdf.; Brigham and Women’s Hospital. (2019). Signos vitales (temperatura corporal, pulso, frecuencia respiratoria y presión arterial). Disponible en: https://healthlibrary.brighamandwomens.org/spanish/diseasesconditions/adult/NonTraumatic/85,P03963.; Catalogo de la Salud. (s.f). Monitoreo de signos vitales. Disponible en: https://www.catalogodelasalud.com/ficha-producto/Monitores-de-pacientes+102363.; CNN. (2012). Un dispositivo inalámbrico para monitorear signos vitales. Disponible en: https://cnnespanol.cnn.com/2012/05/25/un-dispositivo-inalambrico-para-monitorear-signos-vitales/.; OMS. (s.f). Terremotos. Disponible en: https://www.who.int/hac/techguidance/ems/earthquakes/es/.; OMS. (2017). 10 datos sobre la seguridad vial en el mundo – Organización Mundial de la Salud (OMS). Disponible en: https://www.who.int/features/factfiles/roadsafety/es/.; Ramírez López, L. J., Marín López, A. F., & Cifuentes Sanabria, Y. P. (2015). Aplicación de la biotelemetría para tres signos vitales. Ciencia Y Poder Aéreo, 10(1), 179-186. https://doi.org/10.18667/cienciaypoderaereo.428.; Rosenberg D. (2009). ICONIX Process for Embedded Systems - A roadmap for embedded system development using SysML. Tomado de: https://community.sparxsystems.com/white-papers/616-88iconix-process-for-embedded-systems-a-roadmap-for-embedded-system-development-using-sysml.; Salazar-Arbelaez, Gabriel. (2018). Terremotos y salud: lecciones y recomendaciones. Salud Pública de México, 60(Supl. 1), 6-15. https://doi.org/10.21149/9445.; SUMMA 112. (s.f). Módulo 7 Actuación ante Accidentes con Múltiples Víctimas y Catástrofes. Incidentes NBQR. Rescate sanitario. Manuel de enfermería. Disponible en: http://www.madrid.org/cs/Satellite?blobcol=urldata&blobheader=application%2Fpdf&blobheadername1=Content-Disposition&blobheadervalue1=filename%3DModulo+7.pdf&blobkey=id&blobtable=MungoBlobs&blobwhere=1352868957600&ssbinary=true.; Tecnológico de Monterrey. (2011). Sistema para la visualización de signos vitales con dispositivos móviles utilizando tecnología Bluetooth. Disponible en: https://repositorio.tec.mx/bitstream/handle/11285/632321/33068001111800.pdf?sequence=1&isAllowed=y.; UdeA. (2016). Monitor de signos vitales vestible. UdeA – Universidad de Antioquía, Medellín, Colombia. Disponible en: http://www.udea.edu.co/wps/portal/udea/web/inicio/extension/portafoliotecnologico/articulos/Monitor_de_signos_vitales_vestible.; Udistrital. (2018). Monitoreo remoto de signos corporales y transmisión de datos y alertas a una aplicación instalada en un smartphone. Udistrital – Universidad Distrital Francisco José de Caldas. Disponible en: https://repository.udistrital.edu.co/bitstream/handle/11349/13383/SarmientoG%C3%B3mezOscar2018.pdf?sequence=2&isAllowed=y.; Volcano Discovery. (2021). Informe de terremotos en todo el mundo por enero 2021. Disponible en: https://www.volcanodiscovery.com/es/earthquakes/monthly/news/118160/Informe-de-terremotos-en-todo-el-mundo-por-enero-2021.html.; A. F. Calvo Salcedo, A. Bejarano Martínez, y A. Castillo González, “Diseño prototipo de una red de sensores inalámbricos", Visión Electrónica, vol. 12, no. 1, pp. 43-50, 2018. https://doi.org/10.14483/22484728.13405.; E. Y. Rodríguez, L. F. Pedraza Martínez, y D. A. López Sarmiento, “Desarrollo y evaluación de un sistema de comunicación remota para el monitoreo de una máquina sopladora de botellas", Visión Electrónica, vol. 5, no. 1, pp. 89-102, 2011. https://doi.org/10.14483/22484728.3517.; T. Salamanca, “Prototipo para monitorización de signos vitales en espacios confinados", Visión Electrónica, vol. 12, no. 1, pp. 83-88, 2018. https://doi.org/10.14483/22484728.13401 [18] Volcano Discovery. (2021). Informe de terremotos en todo el mundo por enero 2021. Disponible en: https://www.volcanodiscovery.com/es/earthquakes/monthly/news/118160/Informe-de-terremotos-en-todo-el-mundo-por-enero-2021.html.; W. Enríquez, P. Nazate, y O. Marcillo, “Prototipo DAS basado en FPGA de 12 canales para monitoreo geodinámico", Visión Electrónica, vol. 12, no. 1, pp. 73-82, 2018. https://doi.org/10.14483/22484728.13782.; Y. Baquero, Z. Alezones Campos, y H. Borrero Guerrero, “Robot móvil controlado por comandos de voz LPC-DTW”, Visión Electrónica, vol. 5, no. 1, pp. 15-25, 2011. https://doi.org/10.14483/22484728.3524.; Cardona, O. (2007). La gestión del riesgo colectivo. Un marco conceptual que encuentra sustento en una ciudad laboratorio. Red de Estudios Sociales en Prevención de Desastres en América Latina.; Cardona, O. D., García, A. C., Mattingly, S., Trujillo, E. G. C., & Vega, D. F. P. (2003). Plan de emergencias de Manizales. Alcaldía de Manizales–Oficina Municipal para la Prevención y Atención de Desastres-OMPAD. Manizales.; Castro, F.D. (2008). Metodología de projeto centrada na casa da qualidade. Tesis de maestría, universidade federal rio grande do sul, Porto Alegre, Brasil.; Chowdhury, T. J., Elkin, C., Devabhaktuni, V., Rawat, D. B., & Oluoch, J. (2016). Advances on localization techniques for wireless sensor networks: A survey. Computer Networks, 110, 284-305.; Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2017). Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems.; García, A. M., & Castaño Dávila, A. C. (2013). SIG de deslizamientos para el departamento de Caldas.; Keipi, K., Mora-Castro, S., & Bastidas, P. (2005). Gestión de riesgo de amenazas naturales en proyectos de desarrollo: Lista de preguntas de verificación (" Checklist"). Inter-American Development Bank.; Kim, T., Ramos, C., & Mohammed, S. (2017). Smart City and IoT. Elsevier.; Lavell, A. (2001). Sobre la gestión del riesgo: apuntes hacia una definición. Biblioteca Virtual en Salud de Desastres-OPS. Consultado el, 4.; Liu, L., Guo, C., Li, J., Xu, H., Zhang, J., & Wang, B. (2016). Simultaneous life detection and localization using a wideband chaotic signal with an embedded tone. Sensors, 16(11), 1866.; Lomotey, R. K., Pry, J., & Sriramoju, S. (2017). Wearable IoT data stream traceability in a distributed health information system. Pervasive and Mobile Computing.; Morral, G., & Bianchi, P. (2016). Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. Signal Processing, 120, 88-98.; Novák, D., Švecová, M., & Kocur, D. (2017). Multiple Person Localization Based on Their Vital Sign Detection Using UWB Sensor. In Microwave Systems and Applications. InTech.; Pahl, G., & Beitz, W. (2013). Engineering design: a systematic approach. Springer Science & Business Media.; Rising, L., & Janoff, N. S. (2000). The Scrum software development process for small teams. IEEE software, (4), 26-32.; Schwaber, K., & Sutherland, J. (2013). The definitive guide to Scrum: The rules of the game. online], Scrum. org, http://www.scrumguides.org/docs/scrumguide/v1/scrum-guide-us.pdf. [Visitada en agosto de 2015].; Shalloway A, Bain S, Pugh K and Kolsky A. 2011. Essential Skills for the agile developer. A guide to better programming and desing. Ed. Addison-Wesley.; UNGRD (2017). Boletín de prensa 131, Unidad atención de riesgos y desastres. Tras avalancha en manizales, continúan los trabajos de recuperación.; J. Hartvigsen et al., “What low back pain is and why we need to pay attention,” Lancet, vol. 391, no. 10137, pp. 2356–2367, 2018, doi:10.1016/S0140-6736(18)30480-X.; A. Cieza, K. Causey, K. Kamenov, S. W. Hanson, S. Chatterji, and T. Vos, “Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019,” Lancet, vol. 396, no. 10267, pp. 2006–2017, 2020, doi:10.1016/S0140-6736(20)32340-0.; A. M. Briggs et al., “Musculoskeletal Health Conditions Represent a Global Threat to Healthy Aging: A Report for the 2015 World Health Organization World Report on Ageing and Health,” Gerontologist, vol. 56, pp. S243–S255, 2016, doi:10.1093/geront/gnw002.; (OMS) Organizacion Mundial de la Salud, “Rehabilitación,” 2020. https://www.who.int/es/news-room/fact-sheets/detail/rehabilitation.; (OMS) Organizacion Mundial de la Salud, “Rehabilitation 2030 Initiative.” https://www.who.int/initiatives/rehabilitation-2030.; F. A. Abdulla, S. Alsaadi, M. I. R. Sadat-Ali, F. Alkhamis, H. Alkawaja, and S. Lo, “Effects of pulsed low-frequency magnetic field therapy on pain intensity in patients with musculoskeletal chronic low back pain: Study protocol for a randomised double-blind placebo-controlled trial,” BMJ Open, vol. 9, no. 6, pp. 1–9, 2019, doi:10.1136/bmjopen-2018-024650.; H. Hu et al., “Promising application of Pulsed Electromagnetic Fields (PEMFs) in musculoskeletal disorders,” Biomed. Pharmacother., vol. 131, p. 110767, 2020, doi:10.1016/j.biopha.2020.110767.; J. D. Z. Guillot, “La magnetoterapia y su aplicación en la medicina,” Rev. Cuba. Med. Gen. Integr., vol. 18, no. 1, pp. 60–72, 2002.; (OMS) Organización Mundial de la Salud, “Campos electromagnéticos (CEM).” https://www.who.int/peh-emf/about/WhatisEMF/es/ (accessed Apr. 10, 2021).; E. Alonso Fustel, R. Garcia Vázquez, and C. Onaindia Olalde, “Campos electromagnéticos y efectos en salud.” Bizkaia, Vasco, 2012.; M. O. Mattsson and M. Simkó, “Emerging medical applications based on non-ionizing electromagnetic fields from 0 Hz to 10 THz,” Medical Devices: Evidence and Research, vol. 12. Dove Medical Press Ltd, pp. 347–368, 2019, doi:10.2147/MDER.S214152.; N. Bachl, G. Ruoff, B. Wessner, and H. Tschan, “Electromagnetic Interventions in Musculoskeletal Disorders,” Clinics in Sports Medicine, vol. 27, no. 1. pp. 87–105, Jan. 2008, doi:10.1016/j.csm.2007.10.006.; T. Paolucci, L. Pezzi, A. M. Centra, N. Giannandrea, R. G. Bellomo, and R. Saggini, “Electromagnetic field therapy: A rehabilitative perspective in the management of musculoskeletal pain – A systematic review,” J. Pain Res., vol. 13, pp. 1385–1400, 2020, doi:10.2147/JPR.S231778.; J. Multanen, A. Häkkinen, P. Heikkinen, H. Kautiainen, S. Mustalampi, and J. Ylinen, “Pulsed electromagnetic field therapy in the treatment of pain and other symptoms in fibromyalgia: A randomized controlled study,” Bioelectromagnetics, vol. 39, no. 5, pp. 405–413, 2018, doi:10.1002/bem.22127.; H. Mohajerani, F. Tabeie, F. Vossoughi, E. Jafari, and M. Assadi, “Effect of pulsed electromagnetic field on mandibular fracture healing: A randomized control trial, (RCT),” J. Stomatol. Oral Maxillofac. Surg., vol. 120, no. 5, pp. 390–396, Nov. 2019, doi:10.1016/j.jormas.2019.02.022.; A. M. Elshiwi, H. A. Hamada, D. Mosaad, I. M. A. Ragab, G. M. Koura, and S. M. Alrawaili, “Effect of pulsed electromagnetic field on nonspecific low back pain patients: a randomized controlled trial,” Brazilian J. Phys. Ther., vol. 23, no. 3, pp. 244–249, 2019, doi:10.1016/j.bjpt.2018.08.004.; H. L. Casalechi et al., “Acute effects of photobiomodulation therapy and magnetic field on functional mobility in stroke survivors: a randomized, sham-controlled, triple-blind, crossover, clinical trial,” Lasers Med. Sci., vol. 35, no. 6, pp. 1253–1262, 2020, doi:10.1007/s10103-019-02898-y.; L. Kopacz, Z. Ciosek, H. Gronwald, P. Skomro, R. Ardan, and D. Lietz-Kijak, “Comparative Analysis of the Influence of Selected Physical Factors on the Level of Pain in the Course of Temporomandibular Joint Disorders,” Pain Res. Manag., vol. 2020, 2020, doi:10.1155/2020/1036306.; E. Hattapoğlu, İ. Batmaz, B. Dilek, M. Karakoç, S. Em, and R. Çevik, “Efficiency of pulsed electromagnetic fields on pain, disability, anxiety, depression, and quality of life in patients with cervical disc herniation: A randomized controlled study,” Turkish J. Med. Sci., vol. 49, no. 4, pp. 1095–1101, 2019, doi:10.3906/sag-1901-65.; G. L. Bagnato, G. Miceli, N. Marino, D. Sciortino, and G. F. Bagnato, “Pulsed electromagnetic fields in knee osteoarthritis: A double blind, placebo-controlled, randomized clinical trial,” Rheumatol. (United Kingdom), vol. 55, no. 4, pp. 755–762, 2016, doi:10.1093/rheumatology/kev426.; L. Chen et al., “Effects of pulsed electromagnetic field therapy on pain, stiffness and physical function in patients with knee osteoarthritis: A systematic review and meta-analysis of randomized controlled trials,” J. Rehabil. Med., vol. 51, no. 11, pp. 821–827, 2019, doi:10.2340/16501977-2613.; T. Paolucci et al., “Efficacy of extremely low-frequency magnetic field in fibromyalgia pain: A pilot study,” J. Rehabil. Res. Dev., vol. 53, no. 6, pp. 1023–1034, 2016, doi:10.1682/JRRD.2015.04.0061.; A. El Zohiery, Y. El Miedany, T. Elserry, O. El Shazly, and S. Galal, “Impact of electromagnetic field exposure on pain, severity, functional status and depression in patients with primary fibromyalgia syndrome,” Egypt. Rheumatol., no. xxxx, pp. 0–4, 2020, doi:10.1016/j.ejr.2020.10.001.; C. L. Ross, I. Syed, T. L. Smith, and B. S. Harrison, “The regenerative effects of electromagnetic field on spinal cord injury,” Electromagn. Biol. Med., vol. 36, no. 1, pp. 74–87, 2017, doi:10.3109/15368378.2016.1160408.; T. Pesqueira, R. Costa-Almeida, and M. E. Gomes, “Magnetotherapy: The quest for tendon regeneration,” J. Cell. Physiol., vol. 233, no. 10, pp. 6395–6405, 2018, doi:10.1002/jcp.26637.; G. Vicenti et al., “Biophysical stimulation of the knee with PEMFs: from bench to bedside,” J. Biol. Regul. Homeost. Agents, vol. 32, no. 6, pp. 23–28, 2018.; K. Iwasa and A. H. Reddi, “Pulsed Electromagnetic Fields and Tissue Engineering of the Joints,” Tissue Engineering - Part B: Reviews, vol. 24, no. 2. Mary Ann Liebert Inc., pp. 144–154, Apr. 01, 2018, doi:10.1089/ten.teb.2017.0294.; A. Madroñero De La Cal, “Importancia de los aplicadores de campo magnético en los tratamientos electroterapéuticos en las personas mayores,” Rev. Esp. Geriatr. Gerontol., vol. 38, no. 6, pp. 355–368, 2003, doi:10.1016/s0211-139x(03)74917-8.; T. Wang et al., “Pulsed electromagnetic fields: promising treatment for osteoporosis,” Osteoporos. Int., vol. 30, no. 2, pp. 267–276, 2019, doi:10.1007/s00198-018-04822-6.; X. sheng Qiu, X. gang Li, and Y. xin Chen, “Pulsed electromagnetic field (PEMF): A potential adjuvant treatment for infected nonunion,” Med. Hypotheses, vol. 136, Mar. 2020, doi:10.1016/j.mehy.2019.109506.; J. Taradaj, M. Ozon, R. Dymarek, B. Bolach, K. Walewicz, and J. Rosinczuk, “Impact of selected magnetic fields on the therapeutic effect in patients with lumbar discopathy: A prospective, randomized, single-blinded, and placebo-controlled clinical trial,” Adv. Clin. Exp. Med., vol. 27, no. 5, pp. 649–666, 2018, doi:10.17219/acem/68690.; J. Zwolińska, M. Gąsior, E. Śniezek, and A. Kwolek, “The use of magnetic fields in treatment of patients with rheumatoid arthritis. Review of the literature,” Reumatologia, vol. 54, no. 4, pp. 201–206, 2016, doi:10.5114/reum.2016.62475.; Z. Wu et al., “Efficacy and safety of the pulsed electromagnetic field in osteoarthritis: A meta-analysis,” BMJ Open, vol. 8, no. 12, Dec. 2018, doi:10.1136/bmjopen-2018-022879.; L. Mori, “EFICACIA DE LA MAGNETOTERAPIA EN LA DISMINUCION DEL DOLOR EN ADULTOS MAYORES CON OSTEOARTROSIS CENTRO DE MEDICINA COMPLEMENTARIA ESSALUD TRUJILLO,” Tesis - Universidad Cesar Vallejo - Trujillo Perú, vol. 0, no. 12. p. Pág. 89-95-95, 2019, doi:10.5354/0717-8883.1986.23781.; K. Marycz, K. Kornicka, and M. Röcken, “Static Magnetic Field (SMF) as a Regulator of Stem Cell Fate – New Perspectives in Regenerative Medicine Arising from an Underestimated Tool,” Stem Cell Rev. Reports, vol. 14, no. 6, pp. 785–792, 2018, doi:10.1007/s12015-018-9847-4.; N. Kamei, N. Adachi, and M. Ochi, “Magnetic cell delivery for the regeneration of musculoskeletal and neural tissues,” Regen. Ther., vol. 9, pp. 116–119, 2018, doi:10.1016/j.reth.2018.10.001.; A. Catalano, S. Loddo, F. Bellone, C. Pecora, A. Lasco, and N. Morabito, “Pulsed electromagnetic fields modulate bone metabolism via RANKL/OPG and Wnt/β-catenin pathways in women with postmenopausal osteoporosis: A pilot study,” Bone, vol. 116. pp. 42–46, 2018, doi:10.1016/j.bone.2018.07.010.; H. Okano, H. Ishiwatari, A. Fujimura, and K. Watanuki, “The physiological influence of alternating current electromagnetic field exposure on human subjects,” 2017 IEEE Int. Conf. Syst. Man, Cybern. SMC 2017, vol. 2017-Janua, pp. 2442–2447, 2017, doi:10.1109/SMC.2017.8122989.; A. Maziarz et al., “How electromagnetic fields can influence adult stem cells: Positive and negative impacts,” Stem Cell Res. Ther., vol. 7, no. 1, 2016, doi:10.1186/s13287-016-0312-5.; E. I. Waldorff, N. Zhang, and J. T. Ryaby, “Pulsed electromagnetic field applications: A corporate perspective,” J. Orthop. Transl., vol. 9, pp. 60–68, 2017, doi:10.1016/j.jot.2017.02.006.; A. M. Nayback-Beebe, L. H. Yoder, B. J. Goff, S. Arzola, and C. Weidlich, “The effect of pulsed electromagnetic frequency therapy on health-related quality of life in military service members with chronic low back pain,” Nurs. Outlook, vol. 65, no. 5, pp. S26–S33, 2017, doi:10.1016/j.outlook.2017.07.012.; T. Klüter et al., “Electromagnetic transduction therapy and shockwave therapy in 86 patients with rotator cuff tendinopathy: A prospective randomized controlled trial,” Electromagn. Biol. Med., vol. 37, no. 4, pp. 175–183, 2018, doi:10.1080/15368378.2018.1499030.; J. Pasek, T. Pasek, K. Sieroń-Stołtny, G. Cieślar, and A. Sieroń, “Electromagnetic fields in medicine – The state of art,” Electromagn. Biol. Med., vol. 35, no. 2, pp. 170–175, Apr. 2016, doi:10.3109/15368378.2015.1048549.; A. Hochsprung, S. Escudero-Uribe, A. J. Ibáñez-Vera, and G. Izquierdo-Ayuso, “Effectiveness of monopolar dielectric transmission of pulsed electromagnetic fields for multiple sclerosis–related pain: A pilot study,” Neurologia, 2018, doi:10.1016/j.nrl.2018.03.003.; A. B. Camacho, Y. A. P. Borrego, M. J. R. Matas, V. S. León, L. M. Mateos, and A. Oliviero, “Protocolo terapéutico del dolor con técnicas de estimulación no invasiva,” Med., vol. 12, no. 75, pp. 4451–4454, 2019, doi:10.1016/j.med.2019.03.026.; J. Arabloo et al., “Health technology assessment of magnet therapy for relieving pain,” Med. J. Islam. Repub. Iran, vol. 31, no. 1, pp. 184–188, 2017, doi:10.18869/mjiri.31.31.; J. Chudorlinski and L. Ksiazek, “Medical device for physical therapy with a magnetic field and light,” 2019 Appl. Electromagn. Mod. Eng. Med. PTZE 2019, pp. 22–25, 2019, doi:10.23919/PTZE.2019.8781742.; J. Chudorlinski and L. Ksiazek, “Signals for magnetic field therapy and a method for their preparation,” 2018 Appl. Electromagn. Mod. Tech. Med. PTZE 2018, pp. 29–32, 2018, doi:10.1109/PTZE.2018.8503080.; A. Krawczyk, P. Murawski, and E. Korzeniewska, “New Magnetotherapeutical Device,” pp. 2–5, 2017.; Samuel K Au, Jeff Weber, and Hugh Herr. Biomechanical design of a powered ankle-foot prosthesis. In Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on, pages 298–303. IEEE, 2007.; Rouse, Elliott Jay; Mooney, Luke M.; Martinez-Villalpando, Ernesto C.; Herr, Hugh M. "Clutchable Series-Elastic Actuator: Design of a Robotic Knee Prosthesis for Minimum Energy Consumption". 13th International Conference on Rehabilitation Robotics, ICORR 2013.; Samuel K Au and Hugh M Herr. Powered ankle-foot prosthesis. IEEE Robotics & Automation Magazine, 15(3), 2008.; Dong, D., Ge, W., Liu, S., Xia, F., & Sun, Y. (2017). Design and optimization of a powered ankle-foot prosthesis using a geared five-bar spring mechanism. International Journal of Advanced Robotic Systems, 14(3), 1729881417704545.; Andrew K LaPre, Ryan D Wedge, Brian R Umberger, and Frank C Sup. Preliminary study of a robotic foot-ankle prosthesis with active alignment. In Rehabilitation Robotics (ICORR), 2017 International Conference on, pages 1299–1304. IEEE, 2017.; Maurice LeBlanc. Give hope-give a hand. The LN-4 Prosthetic Hand, 2014, 2008.; Dianbiao Dong, Wenjie Ge, Shumin Liu, Fan Xia, and Yuanxi Sun. Design and optimization of a powered ankle-foot prosthesis using a geared five-bar spring mechanism. International Journal of Advanced Robotic Systems, 14(3):1729881417704545, 2017.; Samuel K Au, Jeff Weber, and Hugh Herr. Powered ankle–foot prosthesis improves walking metabolic economy. IEEE Transactions on Robotics, 25(1):51–66, 2009.; Arthur D Kuo. The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective. Human movement science, 26(4):617–656, 2007.; Mary M Rodgers. Dynamic biomechanics of the normal foot and ankle during walking and running. Physical therapy, 68(12):1822–1830, 1988.; Tan Thang Nguyen, Thanh-Phong Dao, and Shyh-Chour Huang. Bio- mechanical design of a novel six dof compliant prosthetic ankle-foot 2.0 for rehabilitation of amputee. In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pages V05AT08A013–V05AT08A013. Ameri- can Society of Mechanical Engineers, 2017.; Joana Alves, Eurico Seabra, César Ferreira, Cristina P Santos, and Luís Paulo Reis. Design and dynamic modelling of an ankle-foot prosthesis for humanoid robot. In Autonomous Robot Systems and Competitions (ICARSC), 2017 IEEE International Conference on, pages 128–133. IEEE, 2017.; Lei Ren, Richard K Jones, and David Howard. Predictive modelling of human walking over a complete gait cycle. Journal of biomechanics, 40(7):1567–1574, 2007.; SK Au and H Herr. Initial experimental study on dynamic interaction between an amputee and a powered ankle-foot prosthesis. In Workshop on dynamic walking: Mechanics and control of human and robot locomotion, page 1, 2006.; Samuel K Au, Hugh Herr, Jeff Weber, and Ernesto C Martinez- Villalpando. Powered ankle-foot prosthesis for the improvement of amputee ambulation. In Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, pages 3020–3026. IEEE, 2007.; Grimmer, M., Eslamy, M., Gliech, S., & Seyfarth, A. (2012, May). A comparison of parallel-and series elastic elements in an actuator for mimicking human ankle joint in walking and running. In 2012 IEEE International Conference on Robotics and Automation (pp. 2463-2470). IEEE.; Soren Shashikant, 2017. Mechanical Leg. https://grabcad.com/library/mechanical-leg-2.; Guy Rouleau, 2014. From SolidWorks to SimMechanics Posted in July 10, 2014. Simulink & Model-Based Design. https://blogs.mathworks.com/simulink/2014/07/10/from-solidworks-to-simmechanics/.; Eilenberg, M. F., Geyer, H., & Herr, H. (2010). Control of a powered ankle–foot prosthesis based on a neuromuscular model. IEEE transactions on neural systems and rehabilitation engineering, 18(2), 164-173.; L. Agudelo, “La discapacidad en Colombia: una mirada global,” Revista Colombiana de Medicina Física y Rehabilitación, p. 16, 2012.; D. A. N. de E. (DANE), “Boletín Censo General 2005 DISCAPACIDAD-COLOMBIA,” 2005. Accessed: Oct. 08, 2020. [Online]. Available: https://www.dane.gov.co/files/censos/libroCenso2005nacional.pdf.; Ministerio de Salud y Protección Social, “Sala situacional de las Personas con Discapacidad,” 2019. https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/MET/sala-situacional-discapacidad2019-2-vf.pdf (accessed Feb. 25, 2021).; MINISTERIO DE SALUD Y PROTECCIÓN SOCIAL, Resolución 2968 DE 2015. República de Colombia: Ministerio de Salud y Protección Social, 2015, pp. 1–16.; Ministerio de Salud y Protección Social, Decreto Número 4725 DE 2005. República de Colombia: Ministerio de Protección Social, 2005, pp. 1–31.; N. Dechev, W. L. Cleghorn, and S. Naumann, “Multiple finger, passive adaptive grasp prosthetic hand,” Mech. Mach. Theory, vol. 36, no. 10, pp. 1157–1173, Oct. 2001, doi:10.1016/S0094-114X(01)00035-0.; R. I. Flores Luna, “Repositorio de Tesis DGBSDI: Diseño de protesis mecatronica de mano,” Universidad Nacional Autónoma de México, 2007.; S. R. Kashef, S. Amini, and A. Akbarzadeh, “Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria,” Mechanism and Machine Theory, vol. 145. Elsevier Ltd, p. 103677, Mar. 01, 2020, doi:10.1016/j.mechmachtheory.2019.103677.; L. Roselia, P. León, and E. Luz González Muñoz, Rosalío Ávila Chaurand Dimensiones antropométricas de población latinoamericana. 2007.; M. Monar and L. Murillo, “DISEÑO Y CONSTRUCCIÓN DE UNA PRÓTESIS BIÓNICA DE MANO DE 7 GRADOS DE LIBERTAD UTILIZANDO MATERIALES INTELIGENTES Y CONTROL MIOELÉCTRICO ADAPTADA PARA VARIOS PATRONES DE SUJECIÓN,” Universidad de las Fuerzas Armadas, Latacunga, 2015.; J. Zhang, B. Wang, C. Zhang, Y. Xiao, and M. Y. Wang, “An EEG/EMG/EOG-Based Multimodal Human-Machine Interface to Real-Time Control of a Soft Robot Hand,” Front. Neurorobot., vol. 13, no. 7, p. 7, Mar. 2019, doi:10.3389/fnbot.2019.00007.; K. P. Biswajeet Champaty, Suraj Nayak, “Development of an Electrooculogram-based Human-Computer Interface for Hands-Free Control of Assistive Devices,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 4S, p. 11, 2019.; E. Camargo Casallas, L. A. Luengas C., y M. Balaguera, “Respuesta a carga de una prótesis transtibial con elementos infinitos durante el apoyo y balanceo", Visión Electrónica, vol. 6, no. 2, pp. 82-92, 2012.; Q. Huang et al., “An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries,” J. Neural Eng, vol. 16, 2019, doi:10.1088/1741-2552/aafc88.; S. D and R. R. M, “A high performance asynchronous EOG speller system,” Biomed. Signal Process. Control, vol. 59, p. 101898, May 2020, doi:10.1016/j.bspc.2020.101898.; A. López, M. Fernández, H. Rodríguez, F. Ferrero, and O. Postolache, “Development of an EOG-based system to control a serious game,” Meas. J. Int. Meas. Confed., vol. 127, pp. 481–488, Oct. 2018, doi:10.1016/j.measurement.2018.06.017.; O. F. Avilés, R. D. Hernández, J. L. Loaiza, and J. M. Rosário, “Simulation model of an anthropomorphic hand,” Int. J. Appl. Eng. Res., vol. 11, no. 23, pp. 11114–11120, 2016, Accessed: Oct. 11, 2020. [Online]. Available: https://www.researchgate.net/publication/312979011_Simulation_Model_of_an_Anthropomorphic_Hand.; O. F. A. Sánchez, R. Gutiérrez, A. J. U. Quevedo, and J. M. Rosario, “(PDF) Antrohopomorphic Grippers - Modelling, Analysis and Implementation,” 2015. https://www.researchgate.net/publication/228090516_Antrhopomorphic_Grippers_-_Modelling_Analysis_and_Implementation (accessed Oct. 11, 2020).; A. Sharma, W. Niu, C. L. Hunt, G. Lévay, R. R. Kaliki, and N. Thakor, “Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement,” 2019.; Y. Tsepkovskiy, L. Antonov, C. Kocev, F. Palis, and N. Shoylev, “DEVELOPMENT OF A 3D AND VRML VIRTUAL HAND MODELS FOR DIFFERENT MECHANICAL GRIPPER,” 2008.; S. T. Vite, C. F. Domínguez Velasco, J. B. Reséndiz Rodríguez, A. Hernández Valencia, y M. Ángel Padilla Castañeda, “Simulador de reparación de aneurismas cerebrales para entrenamiento médico Visión Electrónica, vol. 12, no. 1, pp. 51-57, 2018. https://doi.org/10.14483/22484728.13399.; F. J. Badesa et al., “Physiological responses during hybrid BNCI control of an upper-limb exoskeleton,” Sensors (Switzerland), vol. 19, no. 22, Nov. 2019, doi:10.3390/s19224931.; M. R. Cutkosky, “On Grasp Choice, Grasp Models, and the Design of Hands for Manufacturing Tasks,” IEEE Trans. Robot. Autom., vol. 5, no. 3, pp. 269–279, 1989, doi:10.1109/70.34763.; “Anexo A Norma DIN 33 402.”; J. F. Guerrero Martínez, “INGENIERÍA BIOMÉDICA Tema 2 Bioseñales 2.1. Introducción,” 2010.; L. Atanelov, S. A. Stiens, and M. A. Young, “History of physical medicine and rehabilitation and its ethical dimensions”, AMA journal of ethics, vol. 17, no. 6, pp. 568–574, 2015. DOI:10.1001/journalofethics.2015.17.6.mhst1-1506 URL: https://journalofethics.ama-assn.org/article/history-physical-medicine-and-rehabilitation-and-its-ethical-dimensions/2015-06.; M. C. Garcia and T. Vieira, “Surface electromyography: Why, when and how to use it”, Revista andaluza de medicina del deporte, vol. 4, no. 1, pp.17–28, 2011. URL: https://www.elsevier.es/es-revista-revista-andaluza-medicina-del-deporte-284-articulo-surface-electromyography-why-when-how-X1888754611201253.; J. C. Guerrero Pupo, I. Amell Muñoz, and R. Cañedo Andalia, “Tecnología, tecnología médica y tecnología de la salud: algunas consideraciones básicas”, Acimed, vol. 12, no. 4, pp. 1–1, 2004. URL: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1024-94352004000400007.; J. A. A. Londoño, E. C. Bravo, and J. F. C. García, “Aplicación de tecnologías de rehabilitación robótica en niños con lesión del miembro superior”, Revista Salud UIS, vol. 49, no. 1, pp. 103–114, 2017. DOI: http://dx.doi.org/10.18273/revsal.v49n1-2017010 URL: http://www.scielo.org.co/scielo.php?pid=S0121-08072017000100103&script=sci_abstract&tlng=es.; F. Salvuci and R. Kohanoff, Tecnologías de rehabilitación. Wiley-Interscience, 2016.; A. Merlo and I. Campanini, “Technical aspects of surface electromyography for clinicians”, The open rehabilitation journal, vol. 3, no. 1, 2010. DOI:10.2174/1874943701003010098 URL: https://benthamopen.com/ABSTRACT/TOREHJ-3-98 [7]. F. J. Juan, “Utilidad de la electromiografía de superficie en rehabilitación” URL: https://www.researchgate.net/profile/Francisco_Juan-Garcia/publication/316588275_UTILIDAD_DE_LA_ELECTROMIOGRAFIA_DE_SUPERFICIE_EN_REHABILITACION/links/5905b86c4585152d2e957860/UTILIDAD-DE-LA-ELECTROMIOGRAFIA-DE-SUPERFICIE-EN-REHABILITACION.pdf.; J. W. Meklenburg, S. K. Patrick, and S. D. Jung, “Surface electromyogram simulator for myoelectric prosthesis testing,” 2010. URL: https://digitalcommons.wpi.edu/mqp-all/1402/.; Merletti Roberto, and Dario Farina. Surface electromyography: physiology, engineering, and applications. Piscataway, NJ: IEEE Press, 2016, online. ISBN: 9781119082934, DOI:10.1002/9781119082934.; E. Guzmán, G. Méndez, “Electromiografía en las Ciencias de la Rehabilitación”, Salud Uninorte, Vol 3, no. 3, pp 753-765, 2018.; WOLFRAM S., y PACKARD N. H. Two-dimensional Cellular Autómata. J. Statist. Phys. 38, 1985.; MUÑOZ CASTAÑO, J. D., Artículo: Autómatas Celulares y Física Digital, en: Memorias del Primer Congreso Colombiano de Neuro Computación. Santa fe de Bogotá, D. C.: Academia Colombiana de Ciencias Exactas, Físicas y Naturales, p 28. ISBN 958-9205- 17-8. 1996.; HERNÁNDEZ, J. C., Algunas Generalizaciones en Autómatas Celulares. México: Consejo Nacional de Ciencia y Tecnología – CONACYT, 2008.; JUÁREZ, G. Teoría del Campo Promedio En Autómatas Celulares Similares a "The Game Of Life". México: Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, 2000.; CUEVAS, E., ZALDÍVAR, D., & PÉREZ, M., Procesamiento digital de imágenes con MATLAB y Simulink. México: Alfaomega Grupo Editor; RA-MA Editorial. 2010.; MUÑOZ, M. A., Privacidad y ocultación de información digital ESTEGANOGRAFÍA protegiendo y atacando redes informáticas. Madrid, Bogotá., España, Colombia: Ra-ma, Ediciones de la U. 2017; PONCE, C., P. Inteligencia Artificial con aplicaciones a la ingeniería. México: Alfa Omega Grupo Editor. 2010.; WOLFRAM S., Cellular automata as simple self-organizing systems. Pasadena: Caltech prepint CAL-68-938. 1982.; ESPÍNOLA, M. Clasificación de Imágenes de Satélite mediante Autómatas Celulares. Almería: Universidad de Almería. 2011.; MOORE, E. F. Machine Models Of Self-Reproduction. U.S.A.: Proceedings of Symposia in Applied Mathematics. 1963.; GUERRERO, C. Á. “RapaNui – Isla de Pascua”. RapaNui, Chile. 20/06/2018.; CHEDDAD, A., CONDELL, J., CURRAN, K., & MCKEVITT, P. Digital image steganography: Survey and analysis of current methods. Northern Ireland: School of Computing and Intelligent Systems, University of Ulster at Magee. Signal Processing, 90 (3), 26. Obtenido de EL SEVIER, 2010.; DE LA CRUZ FRANCO, A. Implementación de un Algoritmo Computacional para Esteganografía basado en técnicas del bit menos significativo. Chetumal, México: Universidad de Quintana Roo. 2017.; VÁZQUEZ, J. I., & OLIVER, J. Evolución de Autómatas Celulares utilizando Algoritmos Genéticos. Bilbao, España: Universidad de Deusto. 2008.; MIRI, A., FAEZ, K. Adaptive Image Steganography based on transform domain via Genetic Algorithm. Tehran, Iran: Department of Electrical Engineering, Amirkabir University of Technology. Optika, 145, 10. Obtenido de EL SEVIER, 2017.; MUKJERJEE, S., ROY, S., & SANYAL, G. Image Steganography Using Mid Position Value Technique. Durgapur, India: National Institute of Technology Durgapur. Procedia Computer Science, 132, 7. Obtenido de EL SEVIER, 2018.; WESTFELD, A., PFIZMANN, A. Attacks on Steganographic System. Dresden, Germany: Department of Computer Science, Dresden University of Technology. Information Hiding, 15. 1999.; CABALLERO, H. Cálculo de la dispersión de pixels en imágenes RGB para Esteganografía con base en la teoría fractal. Toluca de Lerdo, México: Facultad de Ingeniería, Universidad Autónoma de México. 2020.; FRIDRICH, J., GOLJAN, M., & DU, R. Reliable Detection of LSB steganography in color and grayscale images. Binghamton, U.S.A.: Department of Electrical and Computer Engineering, Binghamton University, 7. 2002.; D. Galeano and I. Electr, “Robótica Médica,” p. 21.; J. Cornejo, J. A. Cornejo Aguilar, and J. P. Perales Villarroel, “Innovaciones Internacionales En Robótica Médica Para Mejorar El Manejo Del Paciente En Perú,” Rev. la Fac. Med. Humana, vol. 19, no. 4, pp. 105–113, 2019, doi:10.25176/rfmh.v19i4.2349.; E. Saraee, A. Joshi, and M. Betke, “A therapeutic robotic system for the upper body based on the Proficio robotic arm,” Int. Conf. Virtual Rehabil. ICVR, vol. 2017-June, 2017, doi:10.1109/ICVR.2017.8007498.; M. A. Soleimani, H. Zohoor, A. R. F. Yakhdani, M. Heravi, and E. Mohammadi, “Designing, Prototyping, and Controlling a Portable Rehabilitation Robot for the Shoulder Physiotherapy and Training,” ICRoM 2019 - 7th Int. Conf. Robot. Mechatronics, no. ICRoM, pp. 281–284, 2019, doi:10.1109/ICRoM48714.2019.9071844.; M. R. Sarder, F. Ahmed, and B. A. Shakhar, “Design and implementation of a lightweight telepresence robot for medical assistance,” ECCE 2017 - Int. Conf. Electr. Comput. Commun. Eng., pp. 779–783, 2017, doi:10.1109/ECACE.2017.7913008.; R. R. Murphy, D. Riddle, and E. Rasmussen, “Robot-assisted medical reachback: A survey of how medical personnel expect to interact with rescue robots,” Proc. - IEEE Int. Work. Robot Hum. Interact. Commun., pp. 301–306, 2004, doi:10.1109/roman.2004.1374777.; M. Cardona, F. Cortez, A. Palacios, and K. Cerros, “Mobile robots application against covid-19 pandemic,” 2020 Ieee Andescon, Andescon 2020, 2020, doi:10.1109/ANDESCON50619.2020.9272072.; R. M. Nope-Giraldo et al., “Mechatronic Systems Design of ROHNI-1: Hybrid Cyber-Human Medical Robot for COVID-19 Health Surveillance at Wholesale-Supermarket Entrances,” Pan Am. Heal. Care Exch. PAHCE, vol. 2021-May, 2021, doi:10.1109/GMEPE/PAHCE50215.2021.9434874.; P. Manikandan, G. Ramesh, G. Likith, D. Sreekanth, and G. Durga Prasad, “Smart Nursing Robot for COVID-19 Patients,” 2021 Int. Conf. Adv. Comput. Innov. Technol. Eng. ICACITE 2021, vol. 7, pp. 839–842, 2021, doi:10.1109/ICACITE51222.2021.9404698.; Coronavirus: 12 aspectos en los que cambiará radicalmente nuestras vidas”: BBC News, mayo 2020. https://www.bbc.com/mundo/noticias-52512680.; UN. “La enfermedad del coronavirus, una emergencia de salud mundial”. Naciones Unidas. https://www.un.org/es/coronavirus.; “Medidas tomadas por el gobierno.” GOV.CO. Fronteras, marzo 2020. https://coronaviruscolombia.gov.co/Covid19/acciones/acciones-de-fronteras.html.; “Cómo se propaga el COVID-19”. Centros para el Control y la Prevención de Enfermedades, julio 2021. https://espanol.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html.; OMS. “Protéjase a sí mismo y a los demás contra la COVID-19”. Organización Mundial de la Salud. Octubre 2020. https://www.who.int/es/emergencies/diseases/novel-coronavirus-2019/advice-for-public.; M. A. Vivas. “Medidas para la reactivación económica en Colombia-Decreto 580 de 2021. Consultor Salud, junio 2021. https://consultorsalud.com/medidas-para-la-reactivacion-economica/.; C.R. Colombiana. “Consejos de autocuidado y prevención COVID-19”. Cruz Roja Colombiana. https://www.cruzrojacolombiana.org/consejos-de-autocuidado-y-prevencion/.; Cinco protocolos que se usan a diario y que no sirven contra el Covid”. Portafolio, febrero de 2021. https://www.portafolio.co/economia/cinco-protocolos-covid-19-que-no-sirven-contra-el-coronavirus-549048.; “Empresas deberán adaptar protocolo de bioseguridad de Minsalud a sus actividades”. Minsalud, abril 2020. https://www.minsalud.gov.co/Paginas/Empresas-deberan-adaptar-protocolo-de-bioseguridad-de-Minsalud-a-sus-actividades.aspx.; I. J. Molina Pineda. “¿Por qué el coronavirus se propaga ahora con tanta velocidad?”. BBC News, noviembre 2020. https://www.bbc.com/mundo/noticias-54794713.; “COVID-19: novedades científicas”. Instituto de Salud Global Barcelona, noviembre 2021. https://www.isglobal.org/covid-19-novedades-cientificas.; Lionex. “Proximiti-i”. Lionex. 2020. https://lionex.co/proximiti-i.; “La solución digital más confiable del mundo para mitigar la propagación de COVID-19”. KINEXON, 2020. https://kinexon.com/technology/safetag/.; “Coronavirus: el plan de Apple y Google para rastrear el covid-19 desde tu teléfono”. BBC News, abril 2020. https://www.bbc.com/mundo/noticias-52251843.; “Nissan incorporó un nuevo Dispositivo de Distanciamiento Físico para toda su red de concesionarios”. La Nación, marzo 2021. https://www.lanacion.com.ar/lifestyle/nissan-incorporo-un-nuevo-dispositivo-de-distanciamiento-fisico-para-toda-su-red-de-concesionarios-nid11032021/.; “Analítica de detección de tapabocas, para una reapertura segura”. SAC Seguridad, 2020. https://sacseguridad.com/iss-analitica-deteccion-tapabocas-termica/.; W. Yan. “¿Llevas puesta la mascarilla? Un software de reconocimiento está listo para checar si las personas cumplen con el correcto uso”. National Geographic, septiembre 2020. https://www.nationalgeographicla.com/ciencia/2020/09/software-reconocimiento-mascarillas.; K1T671TM-3XF”. HIKVISION, 2020. https://www.hikvision.com/es-la/products/Access-Control-Products/Face-Recognition-Terminals/Ultra-Series/ds-k1t671tm-3xf-/?q=ds-k1t671tm-3xf&position=5.; “SOLIDWORKS. Qué es y para qué sirve”. SolidBi. https://solid-bi.es/solidworks/.; “Sensor de distancia SHARP GP2Y0A02YK0F”. Naylamp Mechatronics. https://naylampmechatronics.com/sensores-proximidad/204-sensor-de-distancia-infrarrojo-sharp-gp2y0a02.html.; “Sensor ultrasónico HC-SR04”. Naylamp Mechatronics. https://naylampmechatronics.com/sensores-proximidad/10-sensor-ultrasonido-hc-sr04.html.; “Sensor de temperatura TMP36”. Prometec. https://www.prometec.net/sensor-tmp36/.; “Comprensión del reconocimiento facial mediante el algoritmo LBPH”. Analytics Vidhya, julio 2021. https://www.analyticsvidhya.com/blog/2021/07/understanding-face-recognition-using-lbph-algorithm/.; Y. M. Shum. “Situación Global Mobile 2020”. YS social media, 2020. https://yiminshum.com/mobile-movil-app-2020/.; F. Cortez, J. Cercado Mancero, A. Vera Lorenti, and E. Valle Flores, “Un panorama de las energías renovables en el Mundo, Latinoamérica y Colombia,” Espacios, vol. 39, p. 10, 2018.; G. A. Zapata and J. A. Valencia, “Guía práctica para la aplicación de los incentivos tributarios de la Ley 1715 de 2014,” Colombia.; J. Faiz and A. Nematsaberi, “Linear electrical generator topologies for direct-drive marine wave energy conversion- an overview,” IET Renew. Power Gener., vol. 11, no. 9, pp. 1163–1176, 2017.; X. Wang, F. Chen, R. Zhu, G. Yang, and C. Zhang, “A Review of the Design and Control of Free-Piston Linear Generator,” Energies, vol. 11, no. 8, p. 2179, 2018.; H. Chen, S. Zhao, H. Wang, and R. Nie, “A Novel Single-Phase Tubular Permanent Magnet Linear Generator,” IEEE Trans. Appl. Supercond., vol. 30, no. 4, pp. 2–6, 2020.; R. Guo, H. Yu, T. A. O. Xia, Z. Shi, W. Zhong, and X. Liu, “A Simplified Subdomain Analytical Model for the Design and Analysis of a Tubular Linear Permanent Magnet Oscillation Generator,” IEEE Access, vol. 6, pp. 42355–42367, 2018.; H. M. Zapata, F. A. Cabrera, M. A. Perez, C. A. Silva, and W. Jara, “Model of a permanent magnet linear generator,” IECON Proc. (Industrial Electron. Conf., vol. 2019-Octob, pp. 6992–6997, 2019.; H. Jing, N. Maki, T. Ida, and M. Izumi, “Electrical design of large-scale tubular PM linear generators for wave energy conversion,” IEEJ Trans. Electr. Electron. Eng., vol. 12, pp. S113–S119, 2017.; R. M. Korbekandi, N. J. Baker, and D. Wu, “A study of translator length in a tubular linear electrical machine designed for use in alinear combustion joule engine,” 2019 12th Int. Symp. Linear Drives Ind. Appl. LDIA 2019, pp. 1–6, 2019.; Y. Sun, Z. Xu, Q. Zhang, J. Lu, and L. Liu, “A Tubular Single-Phase Linear Generator with an Axially Magnetized PM Mover for Free-Piston Engines,” IEEJ Trans. Electr. Electron. Eng., vol. 16, no. 1, pp. 139–146, 2021.; J. Kim, J. Y. Kim, and J. B. Park, “Design and optimization of a 8kW linear generator for a direct-drive point absorber,” Ocean. 2013 MTS/IEEE - San Diego An Ocean Common, pp. 1–6, 2013.; S. Arslan and S. A. Oy, “Design and optimization of tube type interior permanent magnets generator for free piston applications,” TEM J., vol. 6, no. 2, pp. 214–221, 2017.; H. J.R. and T. J. E. Miller, Design of brushless permanetn magnet machines, vol. 732, no. 1. USA: Magna physycs publishing & Oxford University Press, 2010.; J. Zhang, H. Yu, and Z. Shi, “Analysis of a PM linear generator with double translators for complementary energy generation platform,” Energies, vol. 12, no. 24, 2019.; A. Musolino, R. Rizzo, and M. Raugi, “A semi-analytical model for the analysis of a Permanent Magnet tubular linear generator,” 2015 Int. Conf. Renew. Energy Res. Appl. ICRERA 2015, vol. 54, no. 1, pp. 1513–1517, 2015.; S. A. Nasar, “Permanent-Magnet Linear Alternators Part II: Design Guidelines,” IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, no. 1, pp. 79–82, 1987.; H. M. Quintero, E. R. Trujillo, and G. M. Tarazona Bermudez, “EVOLUTION OF WIND POWER TECHNOLOGY.” [Online]. Available: www.tjprc.org.; H. Montaña Quintero, E. Rivas Trujillo, and G. M. Tarazona, “TRENDS ON WIND POWER ELECTRIC GENERATORS,” vol. 15, no. 17, 2020, [Online]. Available: www.arpnjournals.com.; M. Abril Martínez, L. Carolina, R. Rodríguez, U. Militar, N. Granada, and D. P. Cuero, “Estado Del Arte Sobre Materiales Utilizados Para La Fabricación De Las Palas De Turbinas Eólicas Offshore.”; N. Javahiraly, A. Chakari, L. Calegari, and P. Meyrueis, “Determination of solid materials rigidity modulus by a new nondestructive optical method,” Optics & Laser Technology, vol. 36, no. 3, pp. 239–243, Apr. 2004, doi:10.1016/J.OPTLASTEC.2003.09.002.; I. M. Bragado, “Física General,” 2013.; H. A. Gonzáles - D. H. Meza, “LA IMPORTANCIA DEL MÉTODO EN LA SELECCION DE MATERIALES,” vol. 4, no. ISSN 0122-1701, 2004.; “Colección: LAS CIENCIAS NATURALES Y LA MATEMATICAS,” 2010.; Y. Jiang, B. Song, J. Hu, H. Liang, and S. Rao, “Time-dependent reliability of corroded circular steel tube structures: Characterization of statistical models for material properties,” Structures, vol. 33, pp. 792–803, Oct. 2021, doi:10.1016/J.ISTRUC.2021.04.091.; H. Zhang, B. Zhang, Q. Gao, J. Song, and G. Han, “A review on microstructures and properties of graphene-reinforced aluminum matrix composites fabricated by friction stir processing,” Journal of Manufacturing Processes, vol. 68, pp. 126–135, Aug. 2021, doi:10.1016/J.JMAPRO.2021.07.023.; W. Zhang, X. Zhang, Z. Qin, W. Zhang, and R. Yang, “Mechanical and flame retardant performance of fiberglass-reinforced polysilsesquioxane interpenetrated with poly(ethylene glycol)-urethane,” Composites Part A: Applied Science and Manufacturing, vol. 149, p. 106490, Oct. 2021, doi:10.1016/J.COMPOSITESA.2021.106490.; A. Zavdoveev et al., “Effect of heat treatment on the mechanical properties and microstructure of HSLA steels processed by various technologies,” Materials Today Communications, vol. 28, p. 102598, Sep. 2021, doi:10.1016/J.MTCOMM.2021.102598.; G. Kumar Sharma and B. Nidhi Vats, “A comparative study on mechanical and tribological properties of different grades of tool steels,” Materials Today: Proceedings, Mar. 2021, doi:10.1016/J.MATPR.2021.02.275.; F. Tariq and P. Bhargava, “Stress–strain curves and mechanical properties of corrosion damaged super ductile reinforcing steel,” Structures, vol. 33, pp. 1532–1543, Oct. 2021, doi:10.1016/J.ISTRUC.2021.05.039.; B. Nie, S. Xu, Z. Zhang, and A. Li, “Surface morphology characteristics and mechanical properties of corroded cold-formed steel channel sections,” Journal of Building Engineering, vol. 42, p. 102786, Oct. 2021, doi:10.1016/J.JOBE.2021.102786.; I. J. Delfin, F. Madrid, and R. Martínez Sánchez, “Tesis: EFECTO DE LA CERIA (CeO 2 ) EN LA MICROESTRUCTURA Y PROPIEDADES MECÁNICAS DE UNA ALEACIÓN DE ALUMINIO 2024 Que como requisito presenta.”; A. Baradeswaran and A. E. Perumal, “Wear and mechanical characteristics of Al 7075/graphite composites,” Composites Part B: Engineering, vol. 56, pp. 472–476, Jan. 2014, doi:10.1016/J.COMPOSITESB.2013.08.073.; P. Chakrapani and T. S. A. Suryakumari, “Mechanical properties of aluminium metal matrix composites-A review,” Materials Today: Proceedings, vol. 45, pp. 5960–5964, Jan. 2021, doi:10.1016/J.MATPR.2020.09.247.; N. Kumar, A. Bharti, and K. K. Saxena, “A re-investigation: Effect of powder metallurgy parameters on the physical and mechanical properties of aluminium matrix composites,” Materials Today: Proceedings, vol. 44, pp. 2188–2193, Jan. 2021, doi:10.1016/J.MATPR.2020.12.351.; B. Zhou, B. Liu, S. Zhang, R. Lin, Y. Jiang, and X. Lan, “Microstructure evolution of recycled 7075 aluminum alloy and its mechanical and corrosion properties,” Journal of Alloys and Compounds, vol. 879, p. 160407, Oct. 2021, doi:10.1016/J.JALLCOM.2021.160407.; M. Barhoumi, N. Sfina, M. Said, and S. Znaidia, “Elastic and mechanical properties of aluminium and silicon carbide using density functional theory and beyond,” Solid State Communications, vol. 334–335, p. 114369, Aug. 2021, doi:10.1016/J.SSC.2021.114369.; E. M. Ruiz Navas and B. Ruiz Palenzuela, “Sintering of Aluminum Alloys. Processing and Properties,” Encyclopedia of Materials: Metals and Allloys, pp. 343–352, Jan. 2022, doi:10.1016/B978-0-12-819726-4.00114-9.; Ankur, A. Bharti, D. Prasad, N. Kumar, and K. K. Saxena, “A Re-investigation: Effect of various parameter on mechanical properties of copper matrix composite fabricated by powder metallurgy,” Materials Today: Proceedings, vol. 45, pp. 4595–4600, Jan. 2021, doi:10.1016/J.MATPR.2021.01.009.; A. Agrawal and R. Mirzaeifar, “Copper-graphene composites; developing the MEAM potential and investigating their mechanical properties,” Computational Materials Science, vol. 188, p. 110204, Feb. 2021, doi:10.1016/J.COMMATSCI.2020.110204.; S. Thapliyal and A. Mishra, “Machine learning classification-based approach for mechanical properties of friction stir welding of copper,” Manufacturing Letters, vol. 29, pp. 52–55, Aug. 2021, doi:10.1016/J.MFGLET.2021.05.010.; J. Chi et al., “Titanium alloy components fabrication by laser depositing TA15 powders on TC17 forged plate: Microstructure and mechanical properties,” Materials Science and Engineering: A, vol. 818, p. 141382, Jun. 2021, doi:10.1016/J.MSEA.2021.141382.; D. Liović, M. Franulović, and D. Kozak, “Material models and mechanical properties of titanium alloys produced by selective laser melting,” Procedia Structural Integrity, vol. 31, pp. 86–91, Jan. 2021, doi:10.1016/J.PROSTR.2021.03.014.; J. Aguilar Pozzer and E. Guzowski, “Guía didáctica Materiales y materias primas.”; M. Z. R. Khan, S. K. Srivastava, and M. K. Gupta, “A state-of-the-art review on particulate wood polymer composites: Processing, properties and applications,” Polymer Testing, vol. 89, p. 106721, Sep. 2020, doi:10.1016/J.POLYMERTESTING.2020.106721.; C. Wu, N. Vahedi, A. P. Vassilopoulos, and T. Keller, “Mechanical properties of a balsa wood veneer structural sandwich core material,” Construction and Building Materials, vol. 265, p. 120193, Dec. 2020, doi:10.1016/J.CONBUILDMAT.2020.120193.; F. Tian, L. Chen, and X. Xu, “Dynamical mechanical properties of wood-high density polyethylene composites filled with recycled rubber,” Journal of Bioresources and Bioproducts, vol. 6, no. 2, pp. 152–159, May 2021, doi:10.1016/J.JOBAB.2021.02.007.; J. F. Shackelford, “Introducción a la ciencia de materiales para ingenieros 6a edición.”; S. Velu, J. K. Joseph, M. Sivakumar, V. K. Bupesh Raja, K. Palanikumar, and N. Lenin, “Experimental investigation on the mechanical properties of carbon-glass-jute fiber reinforced epoxy hybrid composites,” Materials Today: Proceedings, vol. 46, pp. 3566–3571, Jan. 2021, doi:10.1016/J.MATPR.2021.01.333.; W. Chen, Q. Meng, H. Hao, J. Cui, and Y. Shi, “Quasi-static and dynamic tensile properties of fiberglass/epoxy laminate sheet,” Construction and Building Materials, vol. 143, pp. 247–258, Jul. 2017, doi:10.1016/J.CONBUILDMAT.2017.03.074.; S. Y. Voronina, T. A. Shalygina, V. D. Voronchikhin, A. Y. Vlasov, A. N. Ovchinnikov, and N. N. Grotskaya, “Data for determining the surface properties of carbon fiber in contact interaction with polymeric binders,” Data in Brief, vol. 35, p. 106847, Apr. 2021, doi:10.1016/J.DIB.2021.106847.; C. Colombo and L. Vergani, “Influence of delamination on fatigue properties of a fibreglass composite,” Composite Structures, vol. 107, no. 1, pp. 325–333, Jan. 2014, doi:10.1016/J.COMPSTRUCT.2013.07.028.; L. Wang, J. Zhang, X. Yang, C. Zhang, W. Gong, and J. Yu, “Flexural properties of epoxy syntactic foams reinforced by fiberglass mesh and/or short glass fiber,” Materials & Design, vol. 55, pp. 929–936, Mar. 2014, doi:10.1016/J.MATDES.2013.10.065.; J. Viña, J. Bonhomme, V. Mollón, I. Viña, and A. Argüelles, “Mechanical properties of fibreglass and carbon-fibre reinforced polyetherimide after twenty years of outdoor environmental aging in the city of Gijón (Spain),” Composites Communications, vol. 22, p. 100522, Dec. 2020, doi:10.1016/J.COCO.2020.100522.; A. Armanfard and G. W. Melenka, “Experimental evaluation of carbon fibre, fibreglass and aramid tubular braided composites under combined tension–torsion loading,” Composite Structures, vol. 269, p. 114049, Aug. 2021, doi:10.1016/J.COMPSTRUCT.2021.114049.; Z. Sun et al., “Temperature-dependent mechanical properties of polyetherimide composites reinforced by graphene oxide-coated short carbon fibers,” Composite Structures, vol. 270, p. 114075, Aug. 2021, doi:10.1016/J.COMPSTRUCT.2021.114075.; V. Amigó, J. J. Payá, M. D. Salvador, J. M. Monzó, F. Segovia, and V. Borrachero, “MATERIALES COMPUESTOS 05.”; S. C. Das et al., “On the use of wood charcoal filler to improve the properties of natural fiber reinforced polymer composites,” Materials Today: Proceedings, vol. 44, pp. 926–929, Jan. 2021, doi:10.1016/J.MATPR.2020.10.808.; S. Yousef, S. P. Subadra, P. Griškevičius, S. Varnagiris, D. Milcius, and V. Makarevicius, “Superhydrophilic functionalized graphene/fiberglass/epoxy laminates with high mechanical, impact and thermal performance and treated by plasma,” Polymer Testing, vol. 90, p. 106701, Oct. 2020, doi:10.1016/J.POLYMERTESTING.2020.106701.; P. Karthick, A. A. E. Andrews, K. Subbareddy, K. Basha, V. Harshavardhan, and S. G. S. K. Reddy, “Investigation of mandatory properties of NaOH – KMnO4 Treated Banana/Fiberglass Hybrid Composite,” Materials Today: Proceedings, vol. 37, no. Part 2, pp. 63–66, Jan. 2021, doi:10.1016/J.MATPR.2020.03.072.; S. Saroj, S. Nayak, and D. Kumar Jesthi, “Effect of hybridization of carbon/glass/flax/kenaf fibre composite on flexural and impact properties,” Materials Today: Proceedings, Apr. 2021, doi:10.1016/J.MATPR.2021.03.094.; H. A. S. y. M. A. P., «ANÁLISIS DE TECNOLOGÍAS DE MEDICIÓN DE NIVEL DE TANQUES DE PRODUCTOS USADOS EN LA INDUSTRIA PETROLERA,» 5 Diciembre 2003. [En línea]. Available: https://repositorio.utb.edu.co/bitstream/handle/20.500.12585/3407/0024835.pdf?sequence=1&isAllowed=y. [Último acceso: 25 Septiembre 2021].; C. A. V. AGUILAR, «DISEÑO DE UN SISTEMA DE MONITOREO DE NIVEL DE LOS TANQUES DE EMERGENCIA DE EMCALI TELECOMUNICACIONES,» 9 Diciembre 2013. [En línea]. Available: https://red.uao.edu.co/bitstream/handle/10614/5683/T03722.pdf?sequence=1&isAllowed=y. [Último acceso: 25 Septiembre 2021].; A. A. Naranjo, «Diseño de control de nivel por medio de una medición continua en los tanques de almacenamiento de ACPM en la empresa de Colcafe S.A.,» 7 Marzo 2018. [En línea]. Available: https://repositorio.itm.edu.co/bitstream/handle/20.500.12622/3975/Rep_Itm_pre_Arbelaez.pdf?sequence=1&isAllowed=y. [Último acceso: 25 Septiembre 2021].; P. R. Martín, «¿Qué es una central de generación eléctrica diésel?,» 11 Junio 2020. [En línea]. Available: https://www.tecnatom.es/blog/que-es-una-central-de-generacion-electrica-diesel/. [Último acceso: 26 Septiembre 2021].; F. O. C. GUERRERO, «GENERACIÓN DE ENERGÍA ELÉCTRICA CON UN MOTOR DE COMBUSTIÓN INTERNA USANDO BIODIESEL DE ACEITE DE PIÑÓN (Jatropha curcas),» 2015. [En línea]. Available: https://repositorio.lamolina.edu.pe/bitstream/handle/UNALM/2152/P06-C118-T.pdf?sequence=1&isAllowed=y. [Último acceso: 26 Septiembre 2021].; El pensante.com , «¿Qué es el ACPM?,» E-Cultura Group, 7 Abril 2016. [En línea]. Available: https://elpensante.com/que-es-el-acpm/. [Último acceso: 25 Septiembre 2021].; D. Plaza, «El gasóleo o gasoil: propiedades y tipos,» motor.es, s.f. [En línea]. Available: https://www.motor.es/que-es/gasoil#:~:text=Es%20un%20hidrocarburo%20l%C3%ADquido%20que,carbono%20por%2026%20de%20hidr%C3%B3geno). [Último acceso: 25 Septiembre 2021].; C. Ribeiro, «Cómo funciona la medición automática de combustible en los tanques y cómo su estación puede beneficiarse,» 9 Agosto 2017. [En línea]. Available: https://blog.gilbarco.com/latam/como-funciona-la-medicion-automatica-de-combustible-en-los-tanques. [Último acceso: 25 Septiembre 2021].; Nation Unies, «Prescriptions uniformes relatives à l’homologation des véhicules en ce qui concerne,» 16 Octubre 1995. [En línea]. Available: https://unece.org/fileadmin/DAM/trans/main/wp29/wp29regs/r083r4f.pdf. [Último acceso: 25 Septiembre 2021].; U.S. Environmental Protection Agency, «Code Of Federal Regulations Part 1065—Engine-Testing Procedures.,» 17 Septiembre 2021. [En línea]. Available: https://www.ecfr.gov/recent-changes?search%5Bhierarchy%5D%5Btitle%5D=16&search%5Blast_modified_after%5D=2021-09-10. [Último acceso: 25 Septirmbre 2021].; Code Of Federal Regulations, «VEHICLE-TESTING PROCEDURES,» 28 Abril 2014. [En línea]. Available: https://www.ecfr.gov/current/title-40/chapter-I/subchapter-U/part-1066. [Último acceso: 25 Septiembre 2021].; L. B. M. y. H. C. F. Melissa Ávila Dávila, «Análisis gravimétrico y volumétrico,» 26 Agosto 2011. [En línea]. Available: https://www.monografias.com/trabajos89/analisis-gravimetrico-y-volumetrico/analisis-gravimetrico-y-volumetrico.shtml. [Último acceso: 27 Septienbre 2021].; C. B. ,. J. G. H. Richard D Burke, «Critical evaluation of on-engine fuel consumption measurement,» Automobile Engineering, vol. 225, nº 6, p. 829–844, Junio 2011.; O. NUNIGE, «EVALUACION Y COMPARACION DE METODOS DE MEDICION CONSUMO DE COMBUSTIBLE PARA LABORATORIO Y RUTA EN UN VEHICULO LIVIANO,» 2018. [En línea]. Available: http://repositorio.utp.edu.co/dspace/bitstream/handle/11059/9465/T629.2538%20N972.pdf?sequence=1&isAllowed=y. [Último acceso: 25 Septiembre 2021].; W. E. L. C. F. d. R. Cesar V. Vargas, «Sistemas de Comunicación Inalámbrica MIMO - OFDM,» RevActaNova, vol. 3, nº 4, pp. 750-760, 2007.; F. E. Vargas Silva, «Sistema Digital De Medición De Nivel De Combustible En El Tanque Del Generador Para El Radar De ESUFA.,» 7 Noviembre 2019. [En línea]. Available: https://catalogosibfa.hosted.exlibrisgroup.com/exlibris/aleph/a23_1/apache_media/NIK8N7VLBTRRSKEGTLYUM76FF5BIB8.pdf. [Último acceso: 26 Septiembre 2021].; Quonty, «Tecnología inalámbrica, ¿cuáles son las redes y los dispositivos que más la utilizan?,» 21 Febrero 2018. [En línea]. Available: https://www.quonty.com/blog/tecnologia-inalambrica/. [Último acceso: 27 Septiembre 2021].; Morales, «Qué es la transmisión Wifi,» 11 Octubre 2019. [En línea]. Available: https://www.ticarte.com/contenido/que-es-la-transmision-wifi. [Último acceso: 27 Septiembre 2021].; J. Borlongan, «Cómo funciona la tecnología WiFi,» s.f. [En línea]. Available: https://techlandia.com/funciona-tecnologia-wifi-como_10752/. [Último acceso: 27 Septiembre 2021].; runestone.academy, «¿Qué es programación?,» s.f. [En línea]. Available: https://runestone.academy/runestone/static/pythoned/Introduction/QueEsProgramacion.html. [Último acceso: 28 Septiembre 2021].; aprendiendoarduino.wordpress.com, «Programación Arduino,» 23 Enero 2017. [En línea]. Available: https://aprendiendoarduino.wordpress.com/2017/01/23/programacion-arduino-5/. [Último acceso: 28 Septiembre 2021].; Arduino.cl, «Software de Arduino,» Enero 2019. [En línea]. Available: https://arduino.cl/programacion/. [Último acceso: 28 Septiembre 2021].; Arduino, «Arduino UNO,» s.f. [En línea]. Available: https://arduino.cl/arduino-uno/. [Último acceso: 27 Septiembre 2021].; L. LLAMAS, «MEDIR DISTANCIA CON ARDUINO Y SENSOR DE ULTRASONIDOS HC-SR04,» 16 Junio 2015. [En línea]. Available: https://www.luisllamas.es/medir-distancia-con-arduino-y-sensor-de-ultrasonidos-hc-sr04/. [Último acceso: 27 Septiembre 2021].; naylampmechatronics.com, «SENSOR ULTRASONIDO HC-SR04,» s.f. [En línea]. Available: https://naylampmechatronics.com/sensores-proximidad/10-sensor-ultrasonido-hc-sr04.html. [Último acceso: 27 Septiembre 2021].; L. Llamas, «COMUNICACIÓN INALÁMBRICA A 2.4GHZ CON ARDUINO Y NRF24L01,» 8 Diciembre 2016. [En línea]. Available: https://www.luisllamas.es/comunicacion-inalambrica-a-2-4ghz-con-arduino-y-nrf24l01/. [Último acceso: 28 Septiembre 2021].; robots-argentina.com.ar, «Arduino: Comunicación inalámbrica con NRF24L01,» 25 Diciembre 2019. [En línea]. Available: http://robots-argentina.com.ar/didactica/arduino-comunicacion-inalambrica-con-nrf24l01/. [Último acceso: 28 Septiembre 2021].; the Secretary of the Air Force, «TECHNICAL AND MANAGERIAL REFERENCE FOR MOTOR VEHICLE MAINTENANCE,» Published Under Authority, USA, 2004.; B. R. Serra, «VOLUMEN DE UN PRISMA RECTANGULAR,» 2014. [En línea]. Available: https://www.universoformulas.com/matematicas/geometria/volumen-prisma-rectangular/. [Último acceso: 28 Septiembre 2021].; extraconversion.com, «Metros Cúbicos a US Galones Líquidos Calculadora de Conversión,» s.f. [En línea]. Available: http://extraconversion.com/es/volumen/metros-cubicos/metros-cubicos-a-us-galones-liquidos.html. [Último acceso: 28 Septiembre 2021].; J. C. Najar Pacheco, «Exposición del activo más valioso de la organización, la “información", Visión Electrónica, vol. 11, no. 1, pp. 107-115, 2017. https://doi.org/10.14483/22484728.12345.; Clincy, V., & Shahriar, H., Web Application Firewall: Network Security Models and Configuration. Proceedings - International Computer Software and Applications Conference, 1, 835–836. https://doi.org/10.1109/COMPSAC.2018.00144, 2018.; C. Ping. "A second-order SQL injection detection method". Digital Object Identifier System. https://doi.org/10.1109/ITNEC.2017.8285104, 2018.; Tovar Valencia, O. (s. f.). INYECCIÓN DE SQL, TIPOS DE ATAQUES Y PREVENCION EN ASP.NET-C#. Universidad Piloto de Colombia. http://polux.unipiloto.edu.co:8080/00002026.pdf.; Rajashree, A. K., Sherekar, S. S., & Thakare, V. M. Detection of SQL injection attacks by removing the parameter values of SQL query. IEEE Conference Publication %7C IEEE Xplore. https://ieeexplore.ieee.org/document/8398896, 2018.; Gestión, Tecnología. Uso de apps y visitas a sitios web de alto riesgo subieron 161% debido a COVID. Gestión Tecnología. https://gestion.pe/tecnologia/uso-de-apps-y- visitas-a-sitios-web-de-alto-riesgo-subieron-161-debido-a-covid-noticia/, 2020.; Castillo, A., OWASP Top 1 - Ataques por Inyección SQL. Seguridad Ofensiva. https://seguridad-ofensiva.com/blog/owasp-top-10/owasp-top-1/, 2020.; A7:2017-Cross-Site Scripting (XSS) %7C OWASP, https://owasp.org/www-project-top-ten/2017/A7_2017-Cross-Site_Scripting_(XSS), 2017.; Vulnerabilidades OWASP - Ciberseguridad informática - Seguridad informática para Empresas. (n.d.). https://antimalwares.es/tecnologias/vulnerabilidades-owasp.; W. A. Barbosa y D. A. Buelvas Peñarredonda, “Implementación de redes privadas virtuales en la mediana empresa", Visión Electrónica, vol. 4, no. 2, pp. 106-121, 2010. https://revistas.udistrital.edu.co/index.php/visele/article/view/282/5573.; N. A. Gómez-Cruz and C. E. Maldonado, “Sistemas bio-inspirados: un marco teórico para la ingeniería de sistemas complejos,” Ing. Sist. complejos. Compil. las Conf. Present. en la Cuarta Asam. la Red Cart. Ing., p., 2011.; Y. Leidy, O. López, D. Guillermo, and B. Benavides, “Plataformas Bionpiradas Tipo Lego En Un Ambiente Conocido.”; Y. Jian and Y. Li, “Research on intelligent cognitive function enhancement of intelligent robot based on ant colony algorithm,” Cogn. Syst. Res., vol. 56, pp. 203–212, 2019, doi:10.1016/j.cogsys.2018.12.014.; L. M. Layos, E. L. Mundo, and D. E. L. A. S. Hormigas, “HORMIGAS,” 2006.; J. Rolando, C. López, N. Johanna Hernández Suárez, A. Del Pilar, and R. Tibaduiza, “Sistema de transporte y embalaje utilizando robótica cooperativa basada en teoría de colonias de hormigas mediante plataforma Mindstorm de LEGO® Transportation and Packaging System Using Cooperative Robotics Based on Theory of Ants Colonies Using Platform,” vol. 6, no. 1, pp. 60–71, 2015, doi:10.14483/udistrital.jour.redes.2015.1.a04.; Jaffe, “Evolucion de Sistemas de Comunicacion Quimico en Hormigas (Hymenoptera: Formicidae),” Folia Entomológica Mexicana, vol. 61. pp. 189–203, 1984.; Y. Leidy, O. López, G. Duvan, and B. Benavides, “Implementación de un sistema multirobot basado en el comportamiento de las hormigas.”; M. Dc and G. Motor, “Tank Mobile Platform Instrution Manual,” no. 112.; Alibaba.com. (2021). Professional Outdoor Solar Powered Automatic Weather Station. Tomado de: https://www.alibaba.com/product-detail/Professional-Outdoor-Solar-Powered-Automatic-Weather_60492093064.html.; BBC. (2021). River flooding - causes and management. Tomado de: https://www.bbc.co.uk/bitesize/guides/zx9kfrd/revision/1#:~:text=Flooding%20occurs%20when%20a%20river,interactions%20can%20increase%20the%20risk.; Bourdeau-Brien, M., & Kryzanowski, L. (2020). Natural disasters and risk aversion. Journal of Economic Behavior & Organization, 177, 818–835. Tomado de: https://doi.org/https://doi.org/10.1016/j.jebo.2020.07.007.; Boustan, L. P., Kahn, M. E., Rhode, P. W., & Yanguas, M. L. (2020). The effect of natural disasters on economic activity in US counties: A century of data. Journal of Urban Economics, 118, 103257. Tomado de: https://doi.org/https://doi.org/10.1016/j.jue.2020.103257.; Campo, P. A., Zafra K. (2013). SISTEMA ELECTRÓNICO INALÁMBRICO DE ALERTA TEMPRANA Y MONITOREO DEL COMPORTAMIENTO DEL NIVEL DE LOS RÍOS DE BAJO COSTO (Tesis de grado). Universidad San Buenaventura de Cali. Tomado de: http://bibliotecadigital.usbcali.edu.co/bitstream/10819/2144/1/Sistema_Electronico_Inalambrico_Monitoreo_Campo_2013.pdf.; Cao, H., & Wachowicz, M. (2019). The design of an IoT-GIS platform for performing automated analytical tasks. Computers, Environment and Urban Systems, 74, 23–40. Tomado de: https://doi.org/https://doi.org/10.1016/j.compenvurbsys.2018.11.004.; CEPAL. (2018). Situación de las estadísticas e indicadores de eventos extremos y desastres. Tomado de: https://www.cepal.org/sites/default/files/presentations/2018-06-2areu-expertos-ea-4_2-cepal-pleonard.pdf.; Colombia Reports. (2020). Fatal landslide blocks road between Colombia’s capital and Medellin. Tomado de: https://colombiareports.com/fatal-landslide-blocks-road-between-colombias-capital-and-medellin/.; Confluence. (2021). Sensor T/H/CE de suelo CERES - IoT. Tomado de: https://nazaries.atlassian.net/wiki/spaces/IOT/pages/4654272/Sensor+T+H+CE+de+suelo+CERES.; CORTOLIMA. (s.f). Pérdida de suelos. Corporación Autónoma Regional del Tolima. Tomado de: https://www.cortolima.gov.co/sites/default/files/images/stories/centro_documentos/pom_totare/diagnostico/m_212perdida_de_suelos_totare.pdf.; Datos abiertos. (2021). Gov.co - Datos abiertos. Tomado de: https://www.datos.gov.co/.; Dorado, J.E. (2020). SISTEMA DE MONITOREO Y CONTROL DE ALERTA TEMPRANA DEL DESBORDAMIENTO DE UN RÍO (Tesis de grado). Universidad Piloto de Colombia. Tomado de: http://repository.unipiloto.edu.co/bitstream/handle/20.500.12277/7475/TESIS%20DE%20GRADO.pdf?sequence=1&isAllowed=y.; Duan, X., Bai, Z., Rong, L., Li, Y., Ding, J., Tao, Y., Li, J., Li, J., & Wang, W. (2020). Investigation method for regional soil erosion based on the Chinese Soil Loss Equation and high-resolution spatial data: Case study on the mountainous Yunnan Province, China. CATENA, 184, 104237. Tomado de: https://doi.org/https://doi.org/10.1016/j.catena.2019.104237.; FAO (Food and Agriculture Organization of the United Nations). (s.f). Lang & Water. Universal Soil Loss Equation. Tomado de: http://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1236441/.; FloodList. (2017). Colombia – 11 Departments Hit by Heavy Rain, Floods and Landslides. Tomado de: http://floodlist.com/america/colombia-11-departments-floods-march-2017.; FloodList. (2020). Colombia – Rains Trigger Deadly Landslide in Antioquia. Tomado de: http://floodlist.com/america/colombia-landslide-floods-antioquia-november-2020.; Humanitarian RESPONSE. (2018). Colombia: Snapshot Desastres Naturales 2017 - OCHA Services. Tomado de: https://www.humanitarianresponse.info/en/operations/colombia/infographic/colombia-snapshot-desastres-naturales-2017.; IDEAM. S.f. Datos IDEAM. IDEAM: Instituto de Hidrología, Meteorología y Estudios Ambientales. Tomado de: http://www.ideam.gov.co/.; Insurance Information Institute (iii). (2019). Current graph - World Natural Catastrophes, 2019. Tomado de: https://www.iii.org/graph-archive/96134.; Jimenez N, A. (2005). LA INVESTIGACIÓN DE SUELOS EROSIONADOS: MÉTODOS E ÍNDICES DE DIAGNÓSTICO. Minería y Geología, vol. 21, num 2, 2005, pp. 1-18. Tomado de: https://www.redalyc.org/pdf/2235/223516049002.pdf.; Kamatchi Sundari, V., Nithyashri, J., Kuzhaloli, S., Subburaj, J., Vijayakumar, P., & Subha Hency Jose, P. (2021). Comparison analysis of IoT based industrial automation and improvement of different processes – review. Materials Today: Proceedings. Tomado de: https://doi.org/https://doi.org/10.1016/j.matpr.2020.11.338.; Kong, D., Lin, Z., Wang, Y., & Xiang, J. (2021). Natural disasters and analysts’ earnings forecasts. Journal of Corporate Finance, 66, 101860. Tomado de: https://doi.org/https://doi.org/10.1016/j.jcorpfin.2020.101860.; Local Government Association. (s.f). Flood risk and flood risk management. Tomado de: https://www.local.gov.uk/topics/severe-weather/flooding/flood-and-coastal-erosion-risk-management/flood-risk-and-flood-risk.; McIvor, I., Youjun, H., Daoping, L., Eyles, G., & Pu, Z. (2014). Agroforestry: Conservation Trees and Erosion Prevention (N. K. B. T.-E. of A. and F. S. Van Alfen (ed.); pp. 208–221). Academic Press. Tomado de: https://doi.org/https://doi.org/10.1016/B978-0-444-52512-3.00247-3.; NETWORKWORLD. (2020). What is IoT? The internet of things explained. Tomado de: https://www.networkworld.com/article/3207535/what-is-iot-the-internet-of-things-explained.html.; Newark. (2014). A Brief History of Single Board Computers - electronicdesign. Tomado de: https://www.newark.com/wcsstore/ExtendedSitesCatalogAssetStore/cms/asset/pdf/americas/common/NE14-ElectronicDesignUncovered-Dec14.pdf.; OCHA. (2018). COLOMBIA Desastres Naturales 2017. Tomado de: https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/documents/files/20180420_snapshot_desastres_naturales_2017_-_v2.pdf.; OMM. (2016). Laboratorio virtual de la OMM para la enseñanza y formación en meteorología satelital. OMM - Organización Meteorológica Mundial. Tomado de: https://public.wmo.int/es/resources/bulletin/laboratorio-virtual-de-la-omm-para-la-ense%C3%B1anza-y-formaci%C3%B3n-en-meteorolog%C3%ADa.; Organización Mundial de la Salud (OMS). (s.f). Acción sanitaria en las crisis humanitarias - Inundaciones. Tomado de: https://www.who.int/hac/techguidance/ems/floods/es/.; Organización Mundial de la Salud (OMS). (s.f). Acción sanitaria en las crisis humanitarias - Corrimientos de tierra. Tomado de: https://www.who.int/hac/techguidance/ems/landslides/es/.; Organization of American States (OAS). (s.f). La erosión hídrica y las crecidas. Tomado de: https://www.oas.org/dsd/publications/Unit/oea23s/ch16.htm.; Osenga, E. C., Arnott, J. C., Endsley, K. A., & Katzenberger, J. W. (2019). Bioclimatic and Soil Moisture Monitoring Across Elevation in a Mountain Watershed: Opportunities for Research and Resource Management. Water Resources Research, 55(3), 2493–2503. Tomado de: https://doi.org/https://doi.org/10.1029/2018WR023653.; Paulino, Â., Guimarães, L., & Shiguemori, E. (2019). Hybrid Adaptive Computational Intelligence-based Multisensor Data Fusion applied to real-time UAV autonomous navigation. INTELIGENCIA ARTIFICIAL, 22, 162–195. Tomado de: https://doi.org/10.4114/intartif.vol22iss63pp162-195.; Pellet, C. and Hauck, C. (2017) Monitoring soil moisture from middle to high elevation in Switzerland: set-up and first results from the SOMOMOUNT network, Hydrol. Tomado de: Earth Syst. Sci., 21, 3199–3220, https://doi.org/10.5194/hess-21-3199-2017.; PreventivoWeb. (s.f). Disaster Data & statistics. Tomado de: https://www.preventionweb.net/knowledgebase/disaster-statistics.; R2D3. (s.f). A visual introduction to machine learning. Tomado de: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/.; Raspberrypi. (s.f). Raspberry Pi 3 Model B+. Tomado de: https://www.raspberrypi.org/products/raspberry-pi-3-model-b-plus/.; Reggio, G., Leotta, M., Cerioli, M., Spalazzese, R., & Alkhabbas, F. (2020). What are IoT systems for real? An experts’ survey on software engineering aspects. Internet of Things, 12, 100313. Tomado de: https://doi.org/https://doi.org/10.1016/j.iot.2020.100313.; Scikit-learn.org. (2021). Scikit-learn machine learning in python. Tomado de: https://scikit-learn.org/stable/index.html.; sdxcentral. (s.f). IoT Definitions & Basics. Tomado de: https://www.sdxcentral.com/5g/iot/definitions/.; Thangamani, T., Prabha, R., Prasad, M., Kumari, U., KV, R., & Abidin, S. (2021). IoT Defense Machine Learning: Emerging Solutions and Future Problems. Microprocessors and Microsystems, 104043. Tomado de: https://doi.org/https://doi.org/10.1016/j.micpro.2021.104043.; Thibaud, M., Chi, H., Zhou, W., & Piramuthu, S. (2018). Internet of Things (IoT) in high-risk Environment, Health and Safety (EHS) industries: A comprehensive review. Decision Support Systems, 108, 79–95. Tomado de: https://doi.org/https://doi.org/10.1016/j.dss.2018.02.005.; towards data science. (2017). Types of Machine Learning Algorithms You Should Know. Tomado de: https://towardsdatascience.com/types-of-machine-learning-algorithms-you-should-know-953a08248861.; UNGRD. 2018. Implementación del Sistema Nacional de información para la gestión del riesgo de desastres. Tomado de: http://portal.gestiondelriesgo.gov.co/Documents/Proyectos-Inversion/2015/proyecto_sistema_integrado_informacion_2015_2018.pdf.; Universidad de Chile. (s.f). Laboratorio de Meteorología (LM - DGF). Tomado de: http://uchile.cl/i91300.; University, C. for H. and R. R.-C.-C., University, C. for I. E. S. I. N.-C.-C., & Bank, I. B. for R. and D.-T. W. (2005). Global Multihazard Mortality Risks and Distribution. NASA Socioeconomic Data and Applications Center (SEDAC). Tomado de: https://doi.org/10.7927/H41J97NM.; University, C. for H. and R. R.-C.-C., University, C. for I. E. S. I. N.-C.-C., & Bank, I. B. for R. and D.-T. W. (2005). Global Landslide Mortality Risks and Distribution. NASA Socioeconomic Data and Applications Center (SEDAC). Tomado de: https://doi.org/10.7927/H4JH3J4N.; Waze. (2021). Acerca de Waze: Mapas con datos de tráfico en tiempo real. Tomado de: https://www.waze.com/es/about.; World Health Organization. (s.f). Lanslides. Tomado de: https://www.who.int/health-topics/landslides#tab=tab_2.; Zhang, H., Zhang, R., Qi, F., Liu, X., Niu, Y., Fan, Z., Zhang, Q., Li, J., Yuan, L., Song, Y., Yang, S., & Yao, X. (2018). The CSLE model based soil erosion prediction: Comparisons of sampling density and extrapolation method at the county level. CATENA, 165, 465–472. Tomado de: https://doi.org/https://doi.org/10.1016/j.catena.2018.02.007.; E. A. Avila Gomez, A. M. Martinez Daza, y S. A. Pinzon, “Estado de arte sobre infraestructura telemática para el teletrabajo", Visión Electrónica, vol. 11, no. 2, pp. 261-278, 2017.; F. E. Pineda Torres y A. de J. Chica Leal, “Propuesta de un estimador de fallas usando fracciones coprimas", Visión Electrónica, vol. 9, no. 2, pp. 172-181, 2015. https://doi.org/10.14483/22484728.11025.; F. N. Giraldo Ramos, F. Gonzalez, y E. Camargo Casallas, “Algoritmos de procesamiento de imágenes satelitales con tranformada Hough", Visión Electrónica, vol. 5, no. 2, pp. 26-41, 2011. https://doi.org/10.14483/22484728.3568.; H. J. Eslava Blanco, N. Serrano P., y F. A. Castro, “Sistema de alerta de riesgos en hogares mediante SMS”, Visión Electrónica, vol. 6, no. 2, pp. 15-30, 2012. https://doi.org/10.14483/22484728.3883.; J. O. Castellanos Millán, V. H. Amarillo Calvo, y R. M. Poveda Chaves, “Problema de asignación quadrática (pac) sobre gpu a través de una pga maestro-esclavo”, Visión Electrónica, vol. 10, no. 2, pp. 179-183, 2016.; J. C. Najar-Pacheco, J. A. Bohada-Jaime, y W. Y. Rojas-Moreno, “Vulnerabilidades en el internet de las cosas", Visión Electrónica, vol. 13, no. 2, pp. 312-321, 2019.; J. A. Londoño Alzate, A. Fonseca Velásquez, y E. A. Delgadillo, “Laboratorios remotos: estudio de caso con una planta térmica didáctica", Visión Electrónica, vol. 12, no. 2, pp. 265-277, 2018. https://doi.org/10.14483/22484728.14263.; J. Cortina, J. López-Lezama, And N. Muñoz-Galeano, “Metaheurísticas Aplicadas Al Problema De Interdicción En Sistemas De Potencia,” Inf. Tecnológica, Vol. 29, No. 2, Pp. 73–88, Mar. 2018, Doi:10.4067/S0718-07642018000200073.; C. A. Mora, “Problema De Interdicción De La Red Eléctrica.” Universidad Distrital Francisco José De Caldas, Bogotá, D. C., P. 16, 2020, [Online]. Available: Https://Drive.Google.Com/File/D/1qxg7pvhy1dndz9sgr0qug4ldnyzmpi5-/View?Usp=Sharing.; B. Mundial And Colombia, Análisis De La Gestión Del Riesgo De Desastres En Colombia, Primera. Bogotá, D. C.: Equilatero, 2012.; V. A. Gómez, R. A. Peña, And C. Hernández, “Identificación Y Localización De Fallas En Sistemas De Distribución Con Medidores De Calidad Del Servicio De Energía Eléctrica,” Inf. Tecnol., Vol. 23, No. 2, Pp. 109–116, 2012, Doi:10.4067/S0718-07642012000200013.; F. Olivari, “Diseño, Construcción Y Prueba De Un Sensor Sísmico Para Edificaciones.” Valparaiso, Nov. 2017, Accessed: Nov. 11, 2020. [Online]. Available: Http://Opac.Pucv.Cl/Pucv_Txt/Txt-2500/Ucc2795_01.Pdf.; C. Bonilla And Y. Gonzales, “Dispositivo De Adquisición De Señales Sísmicas”, Visión Electrónica, 2019, Accessed: Nov. 11, 2020. [Online]. Available: Http://Repository.Udistrital.Edu.Co/Bitstream/11349/22441/1/Bonillaseguracamilaalejandra2019.Pdf.; F. Torres And K. Chaca, “Diseño E Implementación De Un Digitalizador Sísmico De 4 Canales Con Acceso Ip,” Universidad De Cuenca, 2015.; D. García, J. Rio, D. Toma, And M. Blanco, “Array Sísmico Inalámbrico Y De Parámetros Ambientales Para La Caracterización De Precursores De Actividad Volcánica,” Universitat Politecnica De Catalunya, 2017.; Á. Herrera, “Prototipo Hardware De Bajo Coste Para La Alerta Sísmica Temprana Local,” 2016.; G. Martinez, “Diseño Y Construcción De Un Prototipo De Detección De Fallas Serie Para Disminuir El Tiempo De Interrupciones En El Sistema Eléctrico De Distribución,” Escuela Politécnica Nacional, 2019.; V. A. Gómez, R. A. Peña, And C. Hernández, “Identificación Y Localización De Fallas En Sistemas De Distribución Con Medidores De Calidad Del Servicio De Energía Eléctrica,” Inf. Tecnol., Vol. 23, No. 2, Pp. 109–116, 2012, Doi:10.4067/S0718-07642012000200013.; "Redes Sin", Xm, 2020, Accessed: Dic. 9, 2020. [En línea]. Available: Https://Www.Xm.Com.Co/Paginas/Transmision/Redes-Sistema-Interconectado-Nacional.Aspx.; R. Chokshi, “MPU-6000 and MPU-6050 Register Map and Descriptions Revision 4.0 MPU-6000/MPU-6050 Register Map and Descriptions,” MPU-6000 MPU-6050 Regist. Map Descr., vol. 1, no. 408, p. 48, 2012.N. Wolfberg, “Storage and retrieval for image and video databases”, SPIE Proceedings, pp. 27-32, 1993.; InvenSense Inc., “MPU-9150 Register Map and Descriptions,” vol. 1, no. 408, pp. 1–52, 2013.; “Raspberry pi foundation", Raspberrypi.org, 2020. [En linea]. Disponible en: https://www.raspberrypi.org.; VMware, “¿Qué son las redes definidas por software (SDN)? %7C Glosario de VMware %7C ES.” https://www.vmware.com/es/topics/glossary/content/software-defined-networking.html (accessed Sep. 22, 2021).; Citrix, “¿Qué son las redes definidas por software (SDN)? - Citrix Mexico.” https://www.citrix.com/es-mx/solutions/app-delivery-and-security/what-is-software-defined-networking.html (accessed Sep. 22, 2021).; M. Marchetti, “The road to riches,” Sales Mark. Manag., vol. 150, no. 10, p. 128, 2013, doi:10.2307/j.ctvc77cz1.22.; M. Dabbagh, B. Hamdaoui, M. Guizani, and A. Rayes, “Software-Defined Networking Security: Pros and Cons,” IEEE Commun. Mag., vol. 53, no. September, pp. 48–54, 2015, doi:10.1109/MCOM.2015.7120048.; A. Feghali, R. Kilany, and M. Chamoun, “SDN security problems and solutions analysis,” Int. Conf. Protoc. Eng. ICPE 2015 Int. Conf. New Technol. Distrib. Syst. NTDS 2015 - Proc., 2015, doi:10.1109/NOTERE.2015.7293514.; S. Sidhu and H. Gupta, “A Security Mechanism for Software Defined Vulnerabilities,” 2019 4th International Conference on Information Systems and Computer Networks, ISCON 2019, pp. 59–62, 2019, doi:10.1109/ISCON47742.2019.9036247.; A. Pradhan and R. Mathew, “Solutions to Vulnerabilities and Threats in Software Defined Networking (SDN),” Procedia Comput. Sci., vol. 171, no. 2019, pp. 2581–2589, 2020, doi:10.1016/j.procs.2020.04.280.; F. W. Sanabria Navarro, J. G. Bustos, and W. E. Castellanos Hernández, “Adaptive video transmission over software defined networks,” Visión electrónica, vol. 13, no. 1, pp. 152–161, Feb. 2019, doi:10.14483/22484728.14398.; J. C. Najar Pacheco, “Exposición del activo más valioso de la organización, la ‘información,’” Visión electrónica, vol. 11, no. 1, pp. 107–115, Jun. 2017, doi:10.14483/22484728.12345.; A. M. Felicísimo, «Conceptos básicos, modelos y simulación.,» 2009. [En línea]. Available: http://www6. uniovi. es/~ feli/CursoMDT/Tema_1. pdf. [Último acceso: 10 Agosto 2021].; N. M. Chirinos y S. R. González, «Consideraciones teórico-epistémicas acerca del concepto de modelo,» Telos, vol. 13, nº 1, pp. 51-64, 2011.; E. López Moreno, Construcción de ciudades más equitativas. Políticas públicas para la inclusión en América Latina., Bogotá: CAF, 2014.; J. Linares-García, A. Hernández-Quirama y H. M. Rojas-Betancur, «Accesibilidad espacial e inclusión social: experiencias de ciudades incluyentes en Europa y Latinoamérica,» Civilizar: Ciencias Sociales y Humanas, vol. 18, nº 35, pp. 115-128, 2018.; É. A. López López y É. L. Álvarez-Aros, «Estrategia en ciudades inteligentes e inclusión social del adulto mayor,» Paakat: Revista de Tecnología y Sociedad, vol. 11, nº 20, pp. 1-29, 2021.; J. A. IREGUI DUARTE, «INCLUSIÓN DIGITAL: UN ANÁLISIS DE LA ESTRATEGIA DE TELETRABAJO EN BOGOTÁ,» PONTIFICIA UNIVERSIDAD JAVERIANA, BOGOTÁ D.C., 2018.; CMSI, «Declaración de Principios. Construir la Sociedad de la Información: un desafío global para el nuevo milenio,» CMSI, Ginebra, 2004.; K. Frey, «Gobernanza electrónica urbana e inclusión digital: experiencias en ciudades europeas y brasileñas,» Nueva Sociedad, nº 196, pp. 109-124, 2005.; D. Dávila, «Inclusión digital en colombia: Un análisis del plan vive digital I,» Pontificia Universidad Javeriana, Bogotá D.C., 2017.; F. Duarte y H. F. Pires, «INCLUSIÓN DIGITAL, TRES CONCEPTOS CLAVE: CONECTIVIDAD, ACCESIBILIDAD, COMUNICABILIDAD,» REVISTA ELECTRÓNICA DE RECURSOS EN INTERNET SOBRE GEOGRAFÍA Y CIENCIAS SOCIALES, nº 150, 2011.; E. Van der Klift y N. Kunc, «Beyond benevolence: Friendship and the politics of help,» de Creativity and collaborative learning: A practical guide to empowering students and teachers, Baltimore, Paul Brookes, 1994, pp. 391-401.; M. Sapon-Shevin, «La inclusión real: Una perspectiva de justicia social,» Revista de Investigación en Educación, vol. 3, nº 11, pp. 71-85, 2013.; G. A. Toledo, «Accesibilidad digital para usuarios con limitaciones visuales,» Universidad Nacional de la Plata, 2012.; Comisión Europea, «Aprovechar las TIC para la acción social: un programa de voluntariado digital,» Unión Europea, Luxemburgo, 2014.; E. M. Tapia, E. Munguia, «Activity recognition in the home setting using simple and ubiquitous sensors,» de international conference on pervasive computing, Berlin, Heidelberg, Springer Berlin Heidelberg, 2004, pp. 158--175.; C. Liming et al, «Sensor-based activity recognition,» IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, nº 6, pp. 790 - 808, 2012.; N. Wei et al, «Human activity detection and recognition for video surveillance,» de 2004 IEEE International Conference on Multimedia and Expo (ICME), IEEE, 2004, pp. 719--722.; M. S. Ryoo, «Human activity prediction: Early recognition of ongoing activities from streaming videos,» de 2011 International Conference on Computer Vision, IEEE, 2011, pp.; M. S. Ryoo, «Human activity prediction: Early recognition of ongoing activities from streaming videos,» de 2011 International Conference on Computer Vision, IEEE, 2011, pp. 1036--1043.; R. Nishkam, D. Nikhil et al., «Activity recognition from accelerometer data,» de Aaai, 2005, pp. 1541--1546.; Intille, L. Bao and S. S., «Activity recognition from user-annotated acceleration data,» de International conference on pervasive computing, 2004.; N. Belapurkar, S. Sagar and A. Baris, «The Case for Ambient Sensing for Human Activity Detection,» de Proceedings of the 8th International Conference on the Internet of Things, New, York, 2018.; D. Anguita et al, International workshop on ambient assisted living, Springer, 2012.; E. Kim, S. Helal and D. Cook, «Human activity recognition and pattern discovery,» IEEE Pervasive Computing/IEEE Computer Society [and] IEEE Communications Society, vol. 9, nº1, p. 48, 2010.; B. P. Clarkson, Life patterns: structure from wearable sensors, Massachusetts Institute of Technology, 2002.; J. Shotton, T. Sharp et al., «Real-time Human Pose Recognition in Parts from Single Depth Images,» Commun. ACM, vol. 56, nº 1, pp. 116--124, 2013.; R. Poppe, «A survey on vision-based human action recognition,» Image and vision computing, vol. 28, nº 6, pp. 976--990, 2010.; J. K Aggarwal and M. S. Ryoo, «Human activity analysis: A review,» ACM Computing Surveys (CSUR), vol. 43, nº 3, p. 16, 2011.; D. Weinland, R. Ronfard and Ed Boyer, «A survey of vision-based methods for actionrepresentation, segmentation and recognition,» Computer vision and image understanding, vol. 115, nº 2, pp. 224 -- 241, 2011.; V. Argyriou, M. Petrou and S. Barsky, «Photometric stereo with an arbitrary number of illuminants,» Computer Vision and Image Understanding, vol. 14, nº 8, pp. 887--900, 2010.; R. Chavarriaga, H. Sagha et al, «The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition,» Pattern Recognition Letters, vol. 34, nº 15, pp. 2033--2042, 2013.; T. Plötz, N. Y. Hammerla and P. Oliver, «Feature Learning for Activity Recognition in Ubiquitous Computing» de Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, AAAI Press, 2011, pp. 1729--1734.; A. Ferscha and F. Mattern, Pervasive Computing: Second International Conference, PERVASIVE 2004, Linz, Vienna: Springer, 2004.; N. Ravi, D. Nikhil et al, «Activity recognition from accelerometer data,» de Aaai, 2005, pp. 1541--1546.; L. B. a. S. Intille, «Activity recognition from user-annotated acceleration data,» de International conference on pervasive computing, 2004.; G. Z. Yang, and M. Yacoub, Body Sensor Networks. 2006, London: Springer, 2006.[22]. D. Anguita, A. Ghio et al, «A Public Domain Dataset for Human Activity Recognition using Smartphones,» de 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2013.; D. Roggen, K. Forster at al, «OPPORTUNITY: Towards opportunistic activity and context recognition systems,» de 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks \& Workshops, 2009.; A. M. Khan, Y-K. Lee et al, «Human activity recognition via an accelerometer-enabled smartphone using kernel discriminant analysis,» de 2010 5th international conference on future information technology, 2010.; J. Reyes-Ortiz, L. Oneto et al, «Transition-aware human activity recognition using smartphones,» Transition-aware human activity recognition using smartphones, vol. 171, pp. 754--767, 2016.; S. I. Yang and S. B. Cho, «Recognizing human activities from accelerometer and physiological sensors,» de 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008.; R. Poovandran, «Human activity recognition for video surveillance,» de 2008 IEEE International Symposium on Circuits and Systems, 2008.; C. T. a. V. Hlavac, «Pose primitive based human action recognition in videos or still images,» de 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.; J. S. Caros, O. Chetelat, P. Celka et al, «Very low complexity algorithm for ambulatory activity classification,» de EMBEC, 2005.; M. F. Bin Abdullah et al, «Classification Algorithms in Human Activity Recognition using Smartphones,» World Academy of Science, Engineering and Technology International Journal of Biomedical and Biological Engineering, vol. 6, nº 1, 2012.; O. D. Lara and M. A. Labrador, «A survey on human activity recognition using wearable sensors,» pp. 1192-1209, 2013.; N. Robertson and I. Reid, «A general method for human activity recognition in video,» Computer Vision and Image Understanding, vol. 104, nº 2-3, pp. 232--248, 2006.; C. Thurau and V Hlavac, «Pose primitive based human action recognition in videos or still images,» de 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.; R. Poovsndran, «Human activity recognition for video surveillance,» de 2008 IEEE International Symposium on Circuits and Systems, 2008.; W. Niu, J. Long, D. Han and W. Yuan-Fang , «Human Activity Detection and Recognition for Video Surveillance,» 2004 IEEE International Conference on Multimedia and Expo (ICME), vol. 1, pp. 719-722, 2004.; J. M. Ermes, J. Parkka, J. Mantyjarvi, and I. Korhonen, «Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions,» TITB, vol. 12, nº 1, pp. 20--26, 2008.; X. Long, B. Yin and R. M. Aarts, «Singleaccelerometer-based daily physical activity classification,» de EMBS, 2009.; D. Karantonis, M. Narayanan, M. Mathier, et al, «Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring,» TITB, vol. 10, nº 1, pp. 156-167, 2006.; E. Heinz, K. Kunze, M. Gruber et al, «Using wearable sensors for Real-Time recognition tasks in games of martial arts - an initial experiment,» de GIC´06, 2006.; H. Markus, H. Takafumi, et al, «Chi-ball, an interactive device assisting martial arts,» de CHI´03, 2003.; J. Liao,Y. Bi and C. Nugent , «Activity recognition for smart Homes using Dempster-Shafer theory of evidence based on a revised lattice structure,» de 2010 Sixth International Conference on Intelligent Environments, 2010.; F. Cicirelli,G. Fortino, A. giordano et al, «On the design of smar homes framework for activyty recpgnition in home environment,» journal of medical systems, vol. 40, nº 9, p. 200, 2016.; S. C. Mukhopadhyay, «Wearable sensors for human activity monitoring: A review,» IEEE Sensors Journal, vol. 15, p. 1321–1330, 2015.; A. Reiss and D. Stricker, «Introducing a new benchmarked dataset for activity monitoring,» de International Symposium on Wearable Computers, 2012.; W. H. Wu, A. A. Bui, M.A. Batalin et al, «MEDIC: medical embedded device for individualized care,» Artificial Intelligence in Medicine, vol. 42, nº 2, pp. 137-152, 2008.; E. V. Someren, B. Vonk, W. Thijssen, J. Speelman et al, «A new actigraph for long-term registration of the duration and intensity of tremor and movement,» Biomedical Engineering, vol. 45, nº 3, pp. 386395, 1998.; D. J. Walker, P. S. Heslop, C. J. Plummer, et al, «A continuous patient activity,» Physiological Measurement, vol. 18, nº 1, pp. 49-59, 1997.; N. Hu, Z. Lou, G. Englebienne and B. Kröse, B., «Learning to Recognize Human Activities from Soft Labeled Data,» de Robotics: Science and Systems X, Berkeley, 2014.; G. Wu and S. Xue, «Portable preimpact fall detector with inertial sensors,» Neural Systems and Rehabilitation Engineering IEEE Transactions on,, vol. 16, nº 2, p. 178–183, 2008.; H. J. Busser, J. Ott, R. C. van Lummel et al, «Ambulatory monitoring of children’s activity,» Medical Engineering & Physics, vol. 19, nº 5, pp. 440-445, 1997.; B. G. Steele, B. Belza, K. Cain, C. Warms,, «Bodies in motion: Monitoring daily activity and exercise with motion sensors in people with chronic pulmonary disease,» Rehabilitation Research and Development, vol. 40, nº 5, 2003.; S. Bosch, M. Marin-Perianu, et al, «Keep on moving! activity monitoring and stimulation using wireless sensor networks,» de European Conference on Smart Sensing and Context, 2009.; F. Chen, Q. Zhong and F. Cannella, «Hand gesture modeling and recognition for human and robot interactive assembly using hidden markov models,» International Journal of Advanced Robotic Systems, vol. 12, nº 4, p. 48, 2015.; Ministerio de Minas y Energía, [En línea]. Available: https://www.minenergia.gov.co/ [Ultimo acceso: 24 agosto 2021].; Instituto de Planificación y Promoción de Soluciones Energéticas para Zonas no Interconectadas IPSE, [En línea]. Available: https://ipse.gov.co/ [Último acceso: 24 08 2021].; Unidad de Planeación Minero-Energética, [En línea]. Available: https://www1.upme.gov.co/Paginas/default.aspx [Último acceso: 24 08 2021].; Comisión de Regulación de Energía y Gas, [En línea]. Available: https://www.creg.gov.co/ [Último acceso: 6 septiembre 2021].; La Cámara Colombiana de Energía, [En línea]. Available: https://www.ccenergia.org.co/ [Ultimo acceso: 08 septiembre 2021].; Fondo de Energías No Convencionales y Gestión Eficiente de la Energía [En línea]. Available: https://fenoge.com/ [Último acceso: 7 septiembre 2021].; A. M. M. H. A. Al Hasib, «A Comparative Study of the Performance and Security Issues of AES and RSA Cryptography,» de Convergence Information Technology, International Conference, Finlandia, 2008.; Shamir R.L. Rivest and L. Adleman, (1978). A Method for Obtaining Digital Signatures and PublicKey Cryptosystems, Magazine Communications of the ACM, 1978.Volumen 21 págs. 120–126. https://doi.org/10.1145/359340.359342.; Castro Lechtaler, A., Cipriano, M., García, E., Liporace, J., Maiorano, A., Malvacio, E. and Tapia, N., (2021). Estudio de técnicas de criptoanálisis.XXI Workshop de Investigadores en Ciencias de la Computación. [online] Sedici.unlp.edu.ar. Available at: http://sedici.unlp.edu.ar/handle/10915/77269.; J. C. Mendoza T, «Universidad Politecnica Salesiana de Ecuador,» [En línea]. Available: https://dspace.ups.edu.ec/bitstream/123456789/8185/1/Demostraci%C3%B3n%20de%20cifrado%2 0sim%C3%A9trico%20y%20asim%C3%A9trico.pdf.; W. Dent, «Hybrid Cryptography,» 3 Junio 2009. [En línea]. Available: https://eprint.iacr.org/2004/210.ps.; Escobar Molero Gabriel. (2011). Clúster de alto rendimiento en un cloud: ejemplo de aplicación en criptoanálisis de funciones hash. Universidad de Almería. pg 60. http://repositorio.ual.es/bitstream/handle/10835/1202/PFC.pdf?sequence=1.; A. Pousa, «Universidad Nacional de la Plata,» Diciembre 2011. [En línea]. Available: https://postgrado.info.unlp.edu.ar/wp-content/uploads/2014/07/Pousa_Adrian.pdf.; A. Lenstra, «Key Lengths,» [En línea]. Available: https://infoscience.epfl.ch/record/164539/files/NPDF-32.pdf.; R. Avinash, A. Potnis, S. Kumar, P. Dwivedy y S. Soofi, «Internation Journal Of Engineering Research and Applications,» Agosto 2017. [En línea]. Available: http://www.ijera.com/papers/Vol7_issue8/Part-1/O0708019094.pdf.; A. Faget, «What are Cryptographic Signatures? %7C Introduction to the Most Common Schemes,» 14 Noviembre 2018. [En línea]. Available: https://coindoo.com/what-are-cryptographic-signaturesintroduction-to-the-most-common-schemes/.; Goldreich, O. (2000). Modern Cryptography, Probabilistic Proofs and Pseudorandomness (Second Edition - author's copy). Springer.pag 1-2, consultado en http://www.wisdom.weizmann.ac.il/~oded/PDF/mcppp-v2.pdf.; Muñoz, R., Muñoz, R., & completo, V. (2021). Algoritmo RSA en aplicación web. Retrieved 12 July 2021, from http://criptografiaverm1.blogspot.com/2013/07/tarea-5-algoritmo-rsa-en-aplicacionweb.html.; Eslava Blanco, H. J., Rocha, J. F., & Morales, J. I. (2011). Estudio de tráfico sobre una plataforma de virtualización. Visión electrónica, 5(2), 78-94. https://doi.org/10.14483/22484728.3572.; Congreso de Colombia. ley 1636 de 2013.; Lei Chen and Nansheng Yao, "Publishing Linked Data from relational databases using traditional views," 2010 3rd International Conference on Computer Science and Information Technology, 2010, pp. 9-12, doi:10.1109/ICCSIT.2010.5563576.; Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V., Aswani, N., Roberts, I., Gorrell, G., Funk, A., Roberts, A., Damljanovic, D., Heitz, T., Greenwood, M. A., Saggion, H., Petrak, J., Li, Y., y Peters, W. (2017). Text Processing with GATE (Version 6).; C. Gardent and S. Narayan Multiple Adjunction in Feature-Based Tree-Adjoining Grammar In Computational Linguistics, Volume 41, Issue 1 - March 2015.; LM Vilches-Blázquez, B Villazón-Terrazas, O Corcho, A Gómez-Pérez. International Journal of Digital Earth 7 (7), 554-575, 2014.; R. Jessop, “El Futuro del Estado Capitalista”, Madrid: Ed. Catarata, Pag.124,2007.; M. Castells e Himanen, “Modelos de Desarrollo en la Era Global de la Información: Construcción de un Marco Analítico” en Castells e Himanen “reconceptualización del desarrollo en la era global de la información”. Santiago de Chile: FCE, Pag. 27, 2017.; C. H. Caicedo y A. Smida, “Intensidad informacional para la longitudinalidad asistencial en sistemas de salud", Visión Electrónica, vol. 10, no. 1, pp. 83-95, 2016. https://doi.org/10.14483/22484728.11612.; J. Van Dijck, “La Cultura de la Conectividad”, Siglo XXI. Bs. A. Pag 268, 2016.; S. Zuboff, “Atrapados en la era del capitalismo de Vigilancia y la Economía Predictiva”, El Espectador, p. 20, enero 10, 2020.; P. Virno, “Cuando el Verbo se hace Carne”. Madrid: Mapas, p.20, 2005.; E. Sadin, “La Siliconización del Mundo”, Bs As: Caja Negra, p.108, 2018.; M. Doueihi, “La Gran Conversión Digital”, Bs. As.: F.C.E. p. 21, 2010.; R. Echeverría. “Ontología del Lenguaje”, Chile: JC Sáez editor, Pag. 24 1997.; J.F. Lyotard, “La condition postmoderne: rapport sur le savoir”. París: Minuit, 1979.; O. Dallera, “La sociedad como sistema de comunicación. La teoría sociológica de Niklas Luhmann en 30 lecciones”, Buenos Aires: editorial Biblos, 2012.; S. Rozas,” Lenguaje y performatividad”, Psicología, Conocimiento y Sociedad, vol 6, no.2, pp. 280-298, 2016.; J. L. Austin, “Cómo hacer cosas con palabras”, Barcelona: Paidós, 1982.; S. Belli, R. Harré, L. Íñiguez, “Emociones en la tecnociencia: la performance de la velocidad”, Prisma Social, 3, pp. 1-41, 2009.; A. Heller, “Sociología de la vida cotidiana”, J. F. Yvars y E. Pérez Nadal (trads.). Barcelona: Península, 1977.; L. F. Aguilar, “En torno del concepto de racionalidad de Max Weber”, en l. Olivé, “Racionalidad Ensayos sobre la racionalidad en ética y política, ciencia y tecnología”, México: Siglo XXI Editores, Coediciones Temas: Ética, Filosofía política, Instituto de Investigaciones Filosóficas, 1988.; M. Weber, “El problema de la irracionalidad en las ciencias sociales”, Madrid: Tecnos, 192 p. 1985.; N. Luhmann, “Organización y decisión. Autopoiesis, acción y entendimiento comunicativo”, Rubí (Barcelona): Anthropos, 2005.; C.H., Caicedo E, “Fortalecimiento de la Gestión de la Investigación y la Extensión, condición para el avance del Sistema Nacional de Innovación”. Documento presentado como requisito para cambio de categoría de Profesor Asistente a Profesor Asociado, Bogotá: Facultad de Ingeniería de la Universidad Nacional de Colombia, 2006.; J. March, H. A. Simon, “Teoría de la organización”, Barcelona: Ariel Economía, 1980.; Joffre, Aurégan, Chédotel y Tellier, “Le Management Stratégique per le Projet”, París: Economica, P.45, 2006.; J. Neré, “Le Management de Projet”, Paris: Puf, p.4, 2015.; Garel, Giard y Midler, “Faire de la Recherche en Management de Projet”, París: FNEGE, Vuibert, p.1, 2004.; AMBROSE, W., Parallel translation of Riemannian curvature. Ann. of Math., 64, 337363. 1956.; APOSTOL TOM, Calculus vol. 1 y 2. Segunda edición. Reverté. 1982.; BERGER - GAUDUCHON - MAZET, Le Spectre d′une Varieté Rie- mannianne. Springer - Verlag. New York. 1971.; DO CARMO, M., Differential Geometry of Curves and Super- faces. Printece - Hall, New Jersy. 1976.; DO CARMO, M., Geometría Riemanniana. 2a Ed. Rio de Janeiro. Brasil. 1988.; CARTAN, E., Lecons sur la Géométrie des Espaces de Riemann (2‘eme édition). Paris, Gauthier-Villard. 1951.; FOMENKO, A. T., Symplectic Geometry. Moscuw. 1998.; FRANKEL, T., The Geometry of Physics. Cambrige University. 2001.; GALLOT-HULLIN-LAFONTAINE, Riemannian Geometry. 2a ed., Springer. 1990.; GUILLEMIN & POLLACK, Differential Topology. Prentice - Hall. 1974.; LIPSCHUTS MARTIN, Differential Geometry. Mc Graw-Hill. 1969. (Hay versión en Español).; HOWARDS H., HUTCHINGS M., MORGAN F., The isoperimetric Problem on surfaces. Monthly, vol. 106, Number 5, (1999) 430 - 439.; LIMA, ELON LARGE, Curso de Análise. Vol. 1 y 2. Terceira Ed. IMPA-Brasil. 1981.; MUNKRES JAMES, TOPOLOGY a first course. Prentice-Hall.New Jersey. 1975. (Hay versión en Español).; MUNKRES JAMES, Elements of Algebraic Topology. Addison- Wesley. 1984.; MYERS, S. B., Riemannian manifolds with positive mean cur- vatura. Duke Math. J., 8, 401-404. 1941.; NASH, J. F., The imbedding problem for Riemannian manifolds. Ann. of. Math., 63, 2063. 1956.; O’NEILL, B., Semi-Riemannianan Geometry: Aplication to Rela- tivity. University of California. Los Angeles California. Academic Press. 1983. 468 páginas.; POOR, W., Differential Geometric Structures. Dover Publications. New York. 1981.; RIEMANN, B.,Über die Hypothesen, welche der Geometrie zu Grunde liegen. Nature, 8 (183-184), 14-17, 36, 37. 1854.; SPIVAK, M., A comprehensive Introduction to DIFFERENTIAL GEOMETRY. Publish or Perish. 1990. 2.785 páginas en 5 volumenes.; SPIVAK, M., Cálculo en Variedades. Reverté. 1975.; WARNER F. W., Foundations of Differentiable Manifolds and Lie Groups. Springer. 1983.; A. Mouthon, “Los Beneficios de la Inteligencia Artificial,” 2017. https://www.eleconomista.es/firmas/noticias/8716667/11/17/Beneficios-de-la-inteligencia-artificial.html (accessed May 06, 2021).; A. Garcia-Serrano and S. Ossowski, “Inteligencia Artificial Distribuida y Sistemas Multiagentes,” Inteligencia Artificial, vol. 2, no. 6, pp. 1–6, 1998, doi:10.4114/ia.v2i6.614.; A. Turing, “Mind a Quarterly Review of Psychology and Philosophy,” Mind, vol. 8, no. 2, pp. 145– 166, 1899, doi:10.1093/mind/VIII.2.145.; M. A. Salichs, M. Malfaz, and J. F. Gorostiza, “Toma de Decisiones en Robótica,” Revista Iberoamericana de Automática e Informática Industrial RIAI, vol. 7, no. 4, pp. 5–16, 2010, doi:10.1016/s1697-7912(10)70055-8.; M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi, “Describing textures in the wild,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3606–3613, 2014, doi:10.1109/CVPR.2014.461.; Tensorflow, “TensorFlow 2 Detection Model Zoo.” https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo. md (accessed May 05, 2021).; L. F. Mahecha, N. F. Conde, H. Vacca-González, “Implementación de Redes Neuronales y Procesamiento de Imágenes en el Movimiento de Robots Modulares Tipo Cadena. SOMI XXXV Congreso de Instrumentación CDMX, México, 27 al 29 de octubre de 2021.; R. A. Valdesueiro, “Muestreo digital”, p. 12.; A. Hashemi Fath, F. Madanifar, y M. Abbasi, “Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems”, Petroleum, vol. 6, núm. 1, pp. 80–91, mar. 2020, doi:10.1016/j.petlm.2018.12.002.; L. O. González Salcedo, A. P. Guerrero Zúñiga, S. Delvasto Arjona, y A. L. E. Will, “Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes”, Cien.Ing.Neogranadina, vol. 29, núm. 2, pp. 37–52, jun. 2019, doi:10.18359/rcin.3737.; A. Sudou, P. Hartono, R. Saegusa, y S. Hashimoto, “Signal reconstruction from sampled data using neural network”, en Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, Martigny, Switzerland, 2002, pp. 707–715, doi:10.1109/NNSP.2002.1030082.; A. Ugena, “THE NEWTON NEURAL NET: A NEW APPROXIMATING NETWORK”, Int. J. of Pure and Appl. Math., vol. 82, núm. 4, feb. 2013, doi:10.12732/ijpam.v82i4.13.; N. M. Khan, “Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)”, p. 6.; L. H. C. Casallas, E. H. M. Alfonso, y M. L. C. Martínez, “Clasificación de Plasmodium Falciparum por estadio en cultivos sincrónicos de eritrocitos”, Visión electrónica, vol. 5, núm. 1, Art. núm. 1, may 2011, doi:10.14483/22484728.3519.; J. A. P. Plaza, D. R. Zapata, y A. T. Tascón, “Implementación de redes neuronales utilizando dispositivos lógicos programables”, Visión electrónica, vol. 1, núm. 1, Art. núm. 1, jun. 2008, doi:10.14483/22484728.250.; O. L. Ramos, D. A. Rojas, y L. A. Góngora, “Reconocimiento de patrones de habla usando MFCC y RNA”, Visión electrónica, vol. 10, núm. 1, Art. núm. 1, jun. 2016, doi:10.14483/22484728.11712.; E. J. G. Monterroza, “Reconocimiento de primitivas 3D, usando autocorrelación y ANFIS”, Visión electrónica, vol. 1, núm. 1, Art. núm. 1, 2008, doi:10.14483/22484728.251.; L. F. P. Martínez, Ó. F. C. Camargo, y J. E. Roa, “Estudio comparativo de técnicas artificiales para la predicción de una serie de tiempo caótica”, Visión electrónica, vol. 2, núm. 2, Art. núm. 2, dic. 2008, doi:10.14483/22484728.792.; A. E. Díaz y L. A. Calderón, “Modelo tridimensional de extremidad inferior basado en imágenes de resonancia magnética”, Visión electrónica, vol. 3, núm. 1, Art. núm. 1, jun. 2009, doi:10.14483/22484728.686.; Ahl´en, J., Sundgren, D., Bengtsson, E.: Application of underwater hyperspectraldata for color correction purposes. Pattern Recognition and Image Analysis 17 (3 2007). https://doi.org/10.1134/S105466180701021X .; Arnold-Bos, A., Malkasse, J.P., Kervern, G.: A preprocessing framework for auto- matic underwater images denoising (3 2005), https://hal.archives-ouvertes.fr/hal- 00494314.; Bazeille, S., Quidu, I., Jaulin, L., Malkasse, J.P.: Automatic underwater image preprocessing. Proceedings of CMM’06 (4 2006).; Cetto, A.M.: La luz: en la naturaleza y en el laboratorio. Fondo de Cultura Econ´omica (2019).; Chambah, M., Semani, D., Renouf, A., Coutellemont, P., Rizzi, A.: Underwa- ter color constancy: Enhancement of automatic live fish recognition (2004), https://hal.archivesouvertes.fr/hal-00263734.; Iqbal, K., Odetayo, M., James, A., Salam, R.A., Talib, A.Z.H.: Enhancing the low quality images using unsupervised colour correction method. IEEE (10 2010). https://doi.org/10.1109/ICSMC.2010.5642311.; Jaffe, J.: Computer modeling and the design of optimal underwater imaging systems. IEEE Journal of Oceanic Engineering 15 (4 1990). https://doi.org/10.1109/48.50695.; McGlamery, B.L.: A computer model for underwater camera systems (3 1980). https://doi.org/10.1117/12.958279.; Schechner, Y., Karpel, N.: Recovery of underwater visibility and structure by polarization analysis. IEEE Journal of Oceanic Engineering 30 (7 2005). https://doi.org/10.1109/JOE.2005.850871.; Sears, F.W., Zemansky, M.W., Young, H.D., Freedman, R.A., Flores Flores, V.A., Rubio Ponce, A.: Fisica universitaria. Addison-Wesley; Pearson Educacion, Mexico (2009), oCLC: 991818413.; Serway, R.A.: Física para ciencias e ingenieria. McGraw-Hill, Mexico (2002), oCLC: 807250137.; Trucco, E., Olmos-Antillon, A.: Self-tuning underwater image restoration. IEEE Journal of Oceanic Engineering 31 (4 2006). https://doi.org/10.1109/JOE.2004.836395.; Wikipedia: Patron de muar´e — wikipedia, la enciclopedia libre (2020).; Pérez, M. A. A. (2009). Espacios De Color RGB, HSI Y Sus Generalizaciones A NDimensiones. PhD thesis, InstitutoNacional de Astrofísica, Óptica y Electrónica.; O. Ronneberger, P. Fischer, y T. Brox, «U-Net: Convolutional Networks for Biomedical Image Segmentation», CoRR, vol. abs/1505.04597, 2015, [En línea]. Disponible en: http://arxiv.org/abs/1505.04597.; V. Badrinarayanan, A. Kendall, y R. Cipolla, «SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation», CoRR, vol. abs/1511.00561, 2015, [En línea]. Disponible en: http://arxiv.org/abs/1511.00561.; S. Liu y W. Deng, «Very deep convolutional neural network based image classification using small training sample size», en 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015, pp. 730-734. doi:10.1109/ACPR.2015.7486599.; J. Long, E. Shelhamer, y T. Darrell, «Fully Convolutional Networks for Semantic Segmentation», CoRR, vol. abs/1411.4038, 2014, [En línea]. Disponible en: http://arxiv.org/abs/1411.4038.; C. Szegedy et al., «Going Deeper with Convolutions», CoRR, vol. abs/1409.4842, 2014, [En línea]. Disponible en: http://arxiv.org/abs/1409.4842.; H. Zhao, J. Shi, X. Qi, X. Wang, y J. Jia, «Pyramid Scene Parsing Network», CoRR, vol. abs/1612.01105, 2016, [En línea]. Disponible en: http://arxiv.org/abs/1612.01105.; K. He, X. Zhang, S. Ren, y J. Sun, «Deep Residual Learning for Image Recognition», CoRR, vol. abs/1512.03385, 2015, [En línea]. Disponible en: http://arxiv.org/abs/1512.03385.; L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, y A. L. Yuille, «DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs», IEEE Trans. Pattern Anal. Mach. Intell., vol. 40, n.o 4, pp. 834-848, 2018, doi:10.1109/TPAMI.2017.2699184.; L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, y A. L. Yuille, «DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs», CoRR, vol. abs/1606.00915, 2016, [En línea]. Disponible en: http://arxiv.org/abs/1606.00915.; L.-C. Chen, G. Papandreou, F. Schroff, y H. Adam, «Rethinking Atrous Convolution for Semantic Image Segmentation», CoRR, vol. abs/1706.05587, 2017, [En línea]. Disponible en: http://arxiv.org/abs/1706.05587.; R. Girshick, J. Donahue, T. Darrell, y J. Malik, «Rich feature hierarchies for accurate object detection and semantic segmentation». 2014.; R. Girshick, «Fast R-CNN». 2015.; S. Ren, K. He, R. Girshick, y J. Sun, «Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks». 2016.; T.-Y. Lin, P. Goyal, R. Girshick, K. He, y P. Dollor, «Focal Loss for Dense Object Detection». 2018.; W. Liu et al., «SSD: Single Shot MultiBox Detector», Lect. Notes Comput. Sci., p. 21-37, 2016, doi:10.1007/978-3-319-46448-0_2.; J. Redmon y A. Farhadi, «YOLO: Real-Time Object Detection». 2018.; J. Redmon y A. Farhadi, «YOLO9000: Better, Faster, Stronger». 2016.; J. Redmon y A. Farhadi, «YOLOv3: An Incremental Improvement». 2018.; F. N. Iandola, M. W. Moskewicz, K. Ashraf, S. Han, W. J. Dally, y K. Keutzer, «SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and \textless1MB model size», CoRR, vol. abs/1602.07360, 2016, [En línea]. Disponible en: http://arxiv.org/abs/1602.07360.; A. G. Howard et al., «MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications», CoRR, vol. abs/1704.04861, 2017, [En línea]. Disponible en: http://arxiv.org/abs/1704.04861.; M. Sandler, A. G. Howard, M. Zhu, A. Zhmoginov, y L.-C. Chen, «Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation», CoRR, vol. abs/1801.04381, 2018, [En línea]. Disponible en: http://arxiv.org/abs/1801.04381.; G. Huang, S. Liu, L. van der Maaten, y K. Q. Weinberger, «CondenseNet: An Efficient DenseNet using Learned Group Convolutions», CoRR, vol. abs/1711.09224, 2017, [En línea]. Disponible en: http://arxiv.org/abs/1711.09224.; X. Zhang, X. Zhou, M. Lin, y J. Sun, «ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices», CoRR, vol. abs/1707.01083, 2017, [En línea]. Disponible en: http://arxiv.org/abs/1707.01083.; N. Ma, X. Zhang, H.-T. Zheng, y J. Sun, «ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design», CoRR, vol. abs/1807.11164, 2018, [En línea]. Disponible en: http://arxiv.org/abs/1807.11164.; M. Tan, B. Chen, R. Pang, V. Vasudevan, y Q. V. Le, «MnasNet: Platform-Aware Neural Architecture Search for Mobile», CoRR, vol. abs/1807.11626, 2018, [En línea]. Disponible en: http://arxiv.org/abs/1807.11626.; M. Tan y Q. V. Le, «EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks», CoRR, vol. abs/1905.11946, 2019, [En línea]. Disponible en: http://arxiv.org/abs/1905.11946.; M. Cordts et al., «The Cityscapes Dataset for Semantic Urban Scene Understanding». 2016.; J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, y L. Fei-Fei, «ImageNet: A Large-Scale Hierarchical Image Database», 2009.; K. C. L. Wong, M. Moradi, H. Tang, y T. F. Syeda-Mahmood, «3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes», CoRR, vol. abs/1809.00076, 2018, [En línea]. Disponible en: http://arxiv.org/abs/1809.00076.; M. Willett, “Lessons of the SolarWinds Hack,” Survival (Lond)., vol. 63, no. 2, 2021, doi:10.1080/00396338.2021.1906001.; H. S. Lallie et al., “Cyber security in the age of COVID-19: A timeline and analysis of cyber-crime and cyber-attacks during the pandemic,” Comput. Secur., vol. 105, 2021, doi:10.1016/j.cose.2021.102248.; J. Aguirre, CURSO DE SEGURIDAD INFORMÁTICA Y CRIPTOGRAFÍA, vol. 3.1. 2003.; E. Biham and A. Shamir, “Differential cryptanalysis of DES-like cryptosystems,” J. Cryptol., vol. 4, no. 1, 1991, doi:10.1007/BF00630563.; J. Daemen and V. Rijmen, “AES proposal: Rijndael,” no. December, 1999.; N. Velasquez and N. Pineda, “Diseño e Implementacion de un Prototipo Criptoprocesador AES-Rijndael en FPGA,” Universidad de Los Llanos, 2007.; A. Bogdanov, L. R. Knudsen, G. Leander, C. Paar, and A. Poschmann, “PRESENT: An Ultra-Lightweight Block Cipher.; J. Guo, T. Peyrin, A. Poschmann, and M. Robshaw, “The LED block cipher,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6917 LNCS, doi:10.1007/978-3-642-23951-9_22.; F. Velásquez and J. F. Castaño, “Cryptographic Implementations for Fpga,” Rev. Visión Electron., vol. 5, no. 1, pp. 26–37, 2011.; F. Velásquez and J. A. Castaño, “Implementation of binary finite fields towers of extension 2,” Rev. Visión Electrónica, vol. 7, no. 2, pp. 89–96, 2013.; W. Enríquez, P. Nazate, and O. Marcillo, “Prototipo DAS basado en FPGA de 12 canales para monitoreo geodinámico,” Visión electrónica, vol. 12, no. 1, pp. 73–82, 2018, doi:10.14483/22484728.13782.; C. A. HERNANDEZ and E. JACINTO, “a New Methodology in the Design of Digital Filters Fir on Fpga,” Rev. Visión Electron., vol. 3, no. 2, pp. 40–47, 2009.; L. W. Ray Beaulieu, Douglas Shors, Jason Smith, Stefan Treatman-Clark, Bryan Weeks, “THE SIMON AND SPECK FAMILIES OF LIGHTWEIGHT BLOCK CIPHERS,” Natl. Secur. Agency, p. 42, 2013.; P. Maene and I. Verbauwhede, “Single-cycle implementations of block ciphers,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9542, pp. 131–147, 2016, doi:10.1007/978-3-319-29078-2_8.; S. Abed, R. Jaffal, B. J. Mohd, and M. Alshayeji, “FPGA modeling and optimization of a SIMON lightweight block cipher,” Sensors (Switzerland), vol. 19, no. 4, 2019, doi:10.3390/s19040913.; A. Shahverdi, M. Taha, and T. Eisenbarth, “Lightweight Side Channel Resistance: Threshold Implementations of Simon,” IEEE Trans. Comput., vol. 66, no. 4, pp. 661–671, 2017, doi:10.1109/TC.2016.2614504.; S. B. Basturk, C. E. J. Dancer, and T. McNally, “High-throughput Configurable SIMON Architecture for Flexible Security,” Pharmacol. Res., p. 104743, 2020, doi:10.1016/j.mejo.2021.105085.; A. Muthumari et al., “High security for de-duplicated big data using optimal SIMON Cipher,” Comput. Mater. Contin., vol. 67, no. 2, pp. 1863–1879, 2021, doi:10.32604/cmc.2021.013614.; W. Diehl, A. Abdulgadir, J. P. Kaps, and K. Gaj, “Comparing the cost of protecting selected lightweight block ciphers against differential power analysis in low-cost FPGAs,” Computers, vol. 7, no. 2, pp. 128–135, 2018, doi:10.3390/computers7020028.; FAO, «Objetivos de Desarrollo Sostenible», Agenda 2030 para el desarrollo sostenible, 2021. http://www.fao.org/sustainable-development-goals/overview/fao-and-post-2015/sustainableagriculture/es/.; G. Spencer, Fundamentos de Acuaponía. 2018.; R. Adhikari, S. Rauniyar, N. Pokhrel, A. Wagle, T. Komai, y S. R. Paudel, «Nitrogen recovery via aquaponics in Nepal: current status, prospects, and challenges», SN Appl. Sci., vol. 2, n.o 7, 2020, doi:10.1007/s42452-020-2996-5.; P. Carneiro, A. Maria, M. Nunes, y R. Ujimoto, «Aquaponia: produção sustentável de peixes e vegetais», en Embrapa Tabuleiros Costeiros, 2015.; A. Caldas, I. Castillo, S. Prado, L. Rosales, y L. Vargas, «Diseño y construcción de sistemas acuapónicos a pequeña escala para familias de la región Piura», Pirhua, p. 205, 2019, [En línea]. Disponible en: https://pirhua.udep.edu.pe/handle/11042/4285.; C. M. Correa y J. F. Valencia, «Configuración de un control de temperatura en un sistema embebido de bajo costo, usando herramientas de inteligencia artificial y el internet de las cosas», Rev. Iber. Sist. y Tecnol. Inf., n.o 34, pp. 68-84, 2019, doi:10.17013/risti.34.68-84.; V. Jahnavi y S. Ahamed, «Red inteligente de sensores inalámbricos para invernaderos automatizados», IETE J. Res., vol. 61, n.o 2, pp. 180-185, 2015.; I. Lee y K. Lee, «The Internet of Things (IoT): Applications, investments, and challenges for enterprises», Bus. Horiz., vol. 58, n.o 4, pp. 431-440, 2015, doi:10.1016/j.bushor.2015.03.008.; E. Barrientos, D. Rico, L. A. Coronel, y F. R. Cuesta, «Granja inteligente: Definición de infraestructura basada en internet de las cosas, IpV6 y redes definidas por software», Rev. Ibérica Sist. e Tecnol. Informação, vol. E17, pp. 183-197, 2019.; F. Simanca, J. Paez, J. Cortés, E. Díaz, y J. Palacio, «Sistema de riego para cultivos controlado mediante una aplicación de IoT», Rev. Ibérica Sist. e Tecnol. Inf., pp. 410-424, 2020, [En línea]. Disponible en: www.estudioscualitativos.ec.; E. A. Q. Montoya, S. F. J. Colorado, W. Y. C. Muñoz, y G. E. C. Golondrino, «Propuesta de una Arquitectura para Agricultura de Precisión Soportada en IoT», RISTI - Rev. Iber. Sist. e Tecnol. Inf., n.o 24, pp. 39-56, 2017, doi:10.17013/risti.24.39-56.; S. M. A. Aguirre, D. R. M. Rivadeneira, L. R. G. Torrealba, L. D. N. Erazo, F. I. Rivas-Echeverría, y D. M. R. Albarran, «Metodología para el almacenamiento y visualización de datos masivos en invernadero basado en el Internet de las Cosas IoT.», Rev. Ibérica Sist. e Tecnol. Informação, n.o E15, pp. 1-12, 2018, [En línea]. Disponible en: https://search.proquest.com/docview/2041143320?accountid=134127%0Ahttp://link.periodicos.capes. gov.br/sfxlcl41?url_ver=Z39.882004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=unknown&sid=ProQ:ProQ%3Ahightechjournals& atitle=Metodología+para+el+almacenam; G. E. Chanchí, L. M. Sierra, y W. Y. Campo, «Propuesta de una plataforma académica portable para la construcción de microservicios en entornos de IoT», Rev. Ibérica Sist. e Tecnol. Informação, n.o E27, pp. 1-13, 2020.; J. A. Brenes Carranza, A. Martínez Porras, C. U. Quesada López, y M. Jenkins Coronas, «Sistemas de apoyo a la toma de decisiones que usan inteligencia artificial en la agricultura de precisión», Rev. Ibérica Sist. y Tecnol. la Inf. núm E28, pp. 217-229, n.o 28, pp. 217-230, 2020.; A. Bárta, P. Soucek, V. Bozhynov, y P. Urbanová, «Automatic Multiparameter Acuisition in Aquaponics Systems», en 5th International Work-Conference, IWBBIO 2017 Granada, Spain, April 26– 28, 2017, Proceedings, Part II, 1.a ed., Springer, Ed. Granada, 2017, pp. 712-725.; O. A. O. Valero, P. A. R. Trujillo, N. L. M. Valderrama, M. E. de Oliveira, y A. R. B. Tech, «Monitoreo remoto automatizado de calidad del agua en sistemas acuapónicos en Sao Paulo, Brasil», Rev. Ibérica Sist. e Tecnol. Informação, n.o E31, pp. 223-235, 2020, [En línea]. Disponible en: http://ezproxy.unal.edu.co/scholarly-journals/monitoreo-remoto-automatizado-de-calidad-delagua/docview/2468684076/se-2?accountid=137090.; K. J. Keesman, O. Körner, K. Wagner, J. U. Urban, D. Karimanzira, y S. Rauschenbach, Thomas , Goddek, «Aquaponics Systems Modelling», en Aquaponics Food Production Systems, 1.a ed., Springer, Ed. Cham, 2019, pp. 273-299.; A. Ahmed, S. Zulfiqar, A. Ghandar, Y. Chen, M. Hanai, y G. Theodoropoulos, «Digital Twin Technology for Aquaponics: Towards Optimizing Food Production with Dynamic Data Driven Application Systems», en Methods and Applications for Modeling and Simulation of Complex Systems. 19th Asia Simulation Conference, AsiaSim 2019 Singapore, October 30 – November 1, 2019 Proceedings, Singapur: Springer, 2019, pp. 3-14.; Haryanto, M. Ulum, A. F. Ibadillah, R. Alfita, K. Aji, y R. Rizkyandi, «Smart aquaponic system based Internet of Things (IoT)», J. Phys. Conf. Ser., vol. 1211, n.o 1, 2019, doi:10.1088/17426596/1211/1/012047.; M. Dayahna Caro M., E. Romero-Riaño, M. Alexandra Espinosa C, y C. D. Guerrero, «Evaluando contribuciones de usabilidad en soluciones TIC-IOT para la agricultura: Una perspectiva desde la bibliometría», RISTI - Rev. Iber. Sist. e Tecnol. Inf., vol. 2020, n.o E28, pp. 681-692, 2020, [En línea]. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.085081040306&partnerID=40&md5=f59611d7803425f519635fe4470fdaca.; P. Rituay Trujillo, N. L. Murga Valderrama, M. D. P. Bustos Chavéz, P. Chauca Valqui, y J.-A. Campos Trigoso, «Evolución y tendencias investigativas de tecnologías aplicadas en los agronegocios : una revisión sistemática de la literatura», Iber. J. Inf. Syst. Technol., vol. 39, pp. 189-199, 2021.; S. F. Mejía S., L. Y. Flóres G., y C. D. Guerrero S., «Desarrollo tecnológico del IoT en el sector de la agricultura : una visión desde el análisis de patentes», Rev. Ibérica Sist. e Tecnol. Informação, n.o 28, pp. 375-386, 2020.; L. A. Rodríguez-umaña, «efectos de la variación de caudal sobre los niveles de amonio , nitrato y pH de un prototipo de cultivo acuapónico Evaluation of the effects of varying water flow on the levels of Ammonium , Nitrate and Ph of a prototype aquaponic system . Avaliação dos e», vol. 7, n.o 2, pp. 126-138, 2016.; M. Eck, K. Oliver, y M. H. Jijakli, «Nutrient Cycling in Aquaponics Systems», en Aquaponics Food Production Systems, 1ra ed., S. Goddek, A. Joyce, B. Kotzen, y G. Burnell M., Eds. Switzerland: Springer Nature Switzerland, 2020, pp. 231-246.; M. Á. Barrera Pérez, N. Y. Serrato Losada, E. Rojas Sánchez, y G. Mancilla Gaona, «Estado del arte en redes definidas por software (SDN)», Visión Electrónica, vol. 13, n.o 1, pp. 178-194, 2019, doi: https://doi.org/10.14483/22484728.14424.; J. C. Najar-Pacheco, J. A. Bohada-Jaime, y W. Y. Rojas-Moreno, «Vulnerabilidades en el internet de las cosas», Visión Electrónica, vol. 13, n.o 2, pp. 312-321, 2019, doi: https://doi.org/10.14483/22484728.14424.; J. A. Londoño Alzate, A. Fonseca Velásquez, y E. A. Delgadillo, «Laboratorios remotos: estudio de caso con una planta térmica didáctica», Visión Electrónica, vol. 12, n.o 2, pp. 265-277, 2018, doi: https://doi.org/10.14483/22484728.14263.; I. J. Donado Romero y J. C. Villamizar Rincón, «“Metodología para estandarización de componentes SCADA bajo normas ISA», Visión Electrónica, vol. 12, n.o 1, pp. 14-21, 2018, doi: https://doi.org/10.14483/22484728.13402.; O. L. Quintero, H. Medina, y E. A. Pineda Muñoz, «Automatización para dosificación de reactivos en clasificación de carbón», Visión Electrónica, vol. 11, n.o 1, pp. 45-54, 2017, doi: https://doi.org/10.14483/22484728.10995.; C. González, D. Zamara, S. R. González B, I. F. Mondragón B, y M. Moreno, «Inspección no invasiva de Physalis peruviana usando técnicas (Vir/Nir)», Visión Electrónica, vol. 10, n.o 1, pp. 22-28, 2016, doi: https://doi.org/10.14483/22484728.11702.; L. E. Galindo C, A. A. Aguilera, y L. A. Rojas Castellar, «Automatización en la industria de bolígrafos: El caso del estampado», Visión Electrónica, vol. 5, n.o 1, pp. 103-113, 2011, doi: https://doi.org/10.14483/22484728.3512.; A. Garcia Chacon, J. L. Martínez Rodríguez, y E. Y. Torres Castro, «Automatización de procesos en el sector plásticos: el caso de una inyectora», Visión Electrónica, vol. 2, n.o 2, pp. 52-63, 2008, [En línea]. Disponible en: https://revistas.udistrital.edu.co/index.php/visele/article/view/796.; Zamora Musa, Ronald, y “Laboratorios Remotos: Actualidad y Tendencias Futuras." Scientia Et Technica XVII, no. 51 (2012):113-118. Redalyc, https://www.redalyc.org/articulo.oa?id=84923910017.; C. I. Jiménez, «Propuesta pedagógica para el uso de laboratorios virtuales como actividad complementaria en las asignaturas teórico-prácticas,» Revista Mexicana De Investigación Educativa, 2014.; Nacional, M. d. (2 de septiembre de 2020). Ministerio de Educación Nacional. Obtenido de https://www.mineducacion.gov.co/1759/w3-article-400640.html?_noredirect=1.; Ramírez, E. A. (2014). Una Mirada Crítica al Papel de las TIC en la Educación Superior. Ibagué: Universidad del Tolima; A. F. Reinoso López y J. C. Forero Jiménez, «Diseño e implementación de un laboratorio con características de acceso remoto orientado hacia el calentamiento de agua» Universidad Distrital Francisco José de Caldas, Bogotá, 2021.; N. LabVIEW, «NI home,» [En línea]. Available: https://www.ni.com/academic/students/learnlabview/esa/environment.htm.; S. C. Giselle, «Laboratorio virtual y remoto, aprendiendo a través de la experimentación, » Universidad Tecnológica Nacional, 2017.; Heradio, R. et al. Virtual and remote labs in education: A bibliometric analysis. Computers & Education, Volume 98, 2016, Pages 14-3.; Unai H.J.; Javier G. Zubia. Remote measurement and instrumentation laboratory for training in real analog electronic experiments. Measurement, Volume 82, 2016, Pages 123-134.; B.R. Poorna chandra, K.P. Geevarghese, K.V. Gangadharan. Design and Implementation of Remote Mechatronics Laboratory for e-Learning Using LabVIEW and Smartphone and Cross-platform Communication Toolkit (SCCT), Procedia Technology, Volume 14, 2014, Pages 108-115.; Van Wylen, G. J.; Sonntag, R. E. Fundamentals of Classical Thermodynamics. Ed. John Wiley & Sons: Singapore, 3ra. edición, 1985.; Petrescu, R. V. V., Aversa, R., Apicella, A., Mirsayar, M., Kozaitis, S., Abu-Lebdeh, T. y Tiberiu Petrescu, F. I. (2017). The Inverse Kinematics of the Plane System 2-3 in a Mechatronic MP2R System, by a Trigonometric Method. Journal of Mechatronics and Robotics, 1(2), 75–87. https://doi.org/10.3844/jmrsp.2017.75.87.; Y Sethi, S. P., Sriskandarajah, C., Sorger, G., Blazewicz, J. y Kubiak, W. (1992). Sequencing of parts and robot moves in a robotic cell. International Journal of Flexible Manufacturing Systems, 4(3-4), 331–358. https://doi.org/10.1007/bf01324886.; Blazewicz, J., Eiselt, H.A., Finke, G., Laporte, G., Weglarz, J., 1991. Scheduling tasks and vehicles in a flexible manufacturing system. International Journal of Flexible Manufacturing Systems 4, 5–16.; Deuerlein, C., Müller, F., Seßner, J., Heß, P., & Franke, J. (2021). Improved design flexibility of open robot cells through tool-center-point monitoring. Procedia CIRP, 100, 295–300. https://doi.org/10.1016/j.procir.2021.05.069.; Veiga, G., Pires, J. N. y Nilsson, K. (2009). Experiments with service-oriented architectures for industrial robotic cells programming. Robotics and Computer-Integrated Manufacturing, 25(4-5), 746– 755. https://doi.org/10.1016/j.rcim.2008.09.001.; Zhao, Q., Sun, M., Cui, M., Yu, J., Qin, Y., & Zhao, X. (2015). Robotic Cell Rotation Based on the Minimum Rotation Force. IEEE Transactions on Automation Science and Engineering, 12(4), 1504– 1515. https://doi.org/10.1109/tase.2014.2360220.; G. Michalos, S. Makris, P. Tsarouchi, T. Guasch, D. Kontovrakis, G. Chryssolouris, Design Considerations for Safe Human-robot Collaborative Workplaces, in: Understanding the life cycle implications of manufacturing, 2015, pp. 248–253.; E. Magrini, F. Ferraguti, A.J. Ronga, F. Pini, A. de Luca, F. Leali, Human-robot coexistence and interaction in open industrial cells, in: Journal of Robotics and Computer-Integrated Manufacturing, 2019, p. 101846.; datasheet PCA9685PW. (2009, 16 de julio). DigChip IC database.; Zamora Navarro, F. J., & Valiente Cristancho, A. (2015). Tasa de muestreo ADC en microcontroladores avanzados de 8 bits. Visión electrónica, 9(1), 128-138. https://doi.org/10.14483/22484728.11022.; García-Guerrero, E., Inzunza-González, E., López-Bonilla, O., Cárdenas-Valdez, J., & TleloCuautle, E. (2020). Randomness improvement of chaotic maps for image encryption in a wireless communication scheme using PIC-microcontroller via Zigbee channels. Chaos, Solitons & Fractals, 133, 109646. https://doi.org/10.1016/j.chaos.2020.109646.; I2C - Puerto, Introducción, trama y protocolo - HETPRO/TUTORIALES. (s. f.). HETPRO/TUTORIALES. https://hetpro-store.com/TUTORIALES/i2c/.; Z. Boric and B. Markovic, "The talking thermometer simulator based on the DS1820 sensor and PIC18F45K22 microcontroller," 2012 20th Telecommunications Forum (TELFOR), 2012, pp. 544-547, doi:10.1109/TELFOR.2012.6419268.; Corke, P. I. (1996). A robotics toolbox for MATLAB. IEEE Robotics and Automation Magazine, 3(1), 24–32. https://doi.org/10.1109/100.486658.; Y. Fang and X. Chen, "Design and Simulation of UART Serial Communication Module Based on VHDL," 2011 3rd International Workshop on Intelligent Systems and Applications, 2011, pp. 1-4, doi:10.1109/ISA.2011.5873448.; Calderón Acero, J., & Parra Garzón, I. V. (2010). Controladores difusos en microcontroladores: software para diseño e implementación. Visión electrónica, 4(2), 64-76. https://doi.org/10.14483/22484728.273.; D’Souza, A., Vijayakumar, S., & Schaal, S. (2001). Learning inverse kinematics. Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the Next Millennium (Cat. No.01CH37180). Published. https://doi.org/10.1109/iros.2001.973374.; R. Junge, B. König, M. Villarroel, T. Komives, and M. H. Jijakli, “Strategic points in aquaponics,” Water (Switzerland). 2017, doi:10.3390/w9030182.; C. Maucieri et al., “Life cycle assessment of a micro aquaponic system for educational purposes built using recovered material,” J. Clean. Prod., vol. 172, pp. 3119–3127, 2018, doi: https://doi.org/10.1016/j.jclepro.2017.11.097.; B. König, J. Janker, T. Reinhardt, M. Villarroel, and R. Junge, “Analysis of aquaponics as an emerging technological innovation system,” J. Clean. Prod., 2018, doi:10.1016/j.jclepro.2018.01.037.; Z. Hu, J. W. Lee, K. Chandran, S. Kim, A. C. Brotto, and S. K. Khanal, “Effect of plant species on nitrogen recovery in aquaponics,” Bioresour. Technol., vol. 188, pp. 92–98, 2015, doi: https://doi.org/10.1016/j.biortech.2015.01.013.; W. Kloas et al., “A new concept for aquaponic systems to improve sustainability, increase productivity, and reduce environmental impacts,” Aquac. Environ. Interact., 2015, doi:10.3354/aei00146.; C. Maucieri et al., “Life cycle assessment of a micro aquaponic system for educational purposes built using recovered material,” J. Clean. Prod., 2018, doi:10.1016/j.jclepro.2017.11.097.; Y. Wei, W. Li, D. An, D. Li, Y. Jiao, and Q. Wei, “Equipment and Intelligent Control System in Aquaponics: A Review,” IEEE Access. 2019, doi:10.1109/ACCESS.2019.2953491.; Z. M. Gichana, D. Liti, H. Waidbacher, W. Zollitsch, S. Drexler, and J. Waikibia, “Waste management in recirculating aquaculture system through bacteria dissimilation and plant assimilation,” Aquaculture International. 2018, doi:10.1007/s10499-018-0303-x.; W. A. Lennard and B. V. Leonard, “A comparison of three different hydroponic sub-systems (gravel bed, floating and nutrient film technique) in an Aquaponic test system,” Aquac. Int., 2006, doi:10.1007/s10499-006-9053-2.; I. Pinheiro et al., “Aquaponic production of Sarcocornia ambigua and Pacific white shrimp in biofloc system at different salinities,” Aquaculture, 2020, doi:10.1016/j.aquaculture.2019.734918.; Z. Schmautz et al., “Tomato productivity and quality in aquaponics: Comparison of three hydroponic methods,” Water (Switzerland), 2016, doi:10.3390/w8110533.; J. Dalsgaard, I. Lund, R. Thorarinsdottir, A. Drengstig, K. Arvonen, and P. B. Pedersen, “Farming different species in RAS in Nordic countries: Current status and future perspectives,” Aquac. Eng., vol. 53, pp. 2–13, 2013, doi: https://doi.org/10.1016/j.aquaeng.2012.11.008.; J. Suhl et al., Prospects and challenges of double recirculating aquaponic systems (DRAPS) for intensive plant production, vol. 1227. 2018.; H. R. Roosta and M. Hamidpour, “Effects of foliar application of some macro- and micronutrients on tomato plants in aquaponic and hydroponic systems,” Sci. Hortic. (Amsterdam)., vol. 129, no. 3, pp. 396–402, 2011, doi: https://doi.org/10.1016/j.scienta.2011.04.006.; Y. Fang et al., “Improving nitrogen utilization efficiency of aquaponics by introducing algalbacterial consortia,” Bioresour. Technol., vol. 245, pp. 358–364, 2017, doi: https://doi.org/10.1016/j.biortech.2017.08.116.; B. S. Cerozi and K. Fitzsimmons, “Phosphorus dynamics modeling and mass balance in an aquaponics system,” Agric. Syst., vol. 153, pp. 94–100, 2017, doi: https://doi.org/10.1016/j.agsy.2017.01.020.; D. Karimanzira, K. J. Keesman, W. Kloas, D. Baganz, and T. Rauschenbach, “Dynamic modeling of the INAPRO aquaponic system,” Aquac. Eng., vol. 75, pp. 29–45, 2016, doi: https://doi.org/10.1016/j.aquaeng.2016.10.004.; C. Lee and Y.-J. Wang, “Development of a cloud-based IoT monitoring system for Fish metabolism and activity in aquaponics,” Aquac. Eng., vol. 90, p. 102067, 2020, doi: https://doi.org/10.1016/j.aquaeng.2020.102067.; M. Manju, V. Karthik, S. Hariharan, and B. Sreekar, “Real time monitoring of the environmental parameters of an aquaponic system based on internet of things,” 2017, doi:10.1109/ICONSTEM.2017.8261342.; A. R. Yanes, P. Martinez, and R. Ahmad, “Towards automated aquaponics: A review on monitoring, IoT, and smart systems,” Journal of Cleaner Production. 2020, doi:10.1016/j.jclepro.2020.121571.; K. S. Khan, R. Kunz, J. Kleijnen, and G. Antes, “Five steps to conducting a systematic review,” J. R. Soc. Med., vol. 96, no. 3, pp. 118–121, 2003, doi:10.1258/jrsm.96.3.118.; M. Petticrew, “Petticrew_2001_Myths_Misconceptions,” vol. 322, no. January, 2001.; J. Mori and R. Smith, “Transmission of waterborne fish and plant pathogens in aquaponics and their control with physical disinfection and filtration: A systematized review,” Aquaculture. 2019, doi:10.1016/j.aquaculture.2019.02.009.; A. S. Oladimeji, S. O. Olufeagba, V. O. Ayuba, S. G. Sololmon, and V. T. Okomoda, “Effects of different growth media on water quality and plant yield in a catfish-pumpkin aquaponics system,” J. King Saud Univ. - Sci., vol. 32, no. 1, pp. 60–66, 2020, doi:10.1016/j.jksus.2018.02.001.; M. N. Mamatha and S. N. Namratha, “Design & implementation of indoor farming using automated aquaponics system,” 2017, doi:10.1109/ICSTM.2017.8089192.; P. Boonrawd, S. Nuchitprasitchai, and Y. Nilsiam, “Aquaponics Systems Using Internet of Things,” 2020, doi:10.1007/978-3-030-44044-2_5.; R. Calone et al., “Improving water management in European catfish recirculating aquaculture systems through catfish-lettuce aquaponics,” Sci. Total Environ., vol. 687, pp. 759–767, 2019, doi: https://doi.org/10.1016/j.scitotenv.2019.06.167.; J. P. Mandap et al., “Oxygen Monitoring and Control System Using Raspberry Pi as Network Backbone,” TENCON 2018 - 2018 IEEE Reg. 10 Conf., no. October, pp. 1381–1386, 2018.; S. E. Wortman, “Crop physiological response to nutrient solution electrical conductivity and pH in an ebb-and-flow hydroponic system,” Sci. Hortic. (Amsterdam)., vol. 194, pp. 34–42, 2015, doi: https://doi.org/10.1016/j.scienta.2015.07.045.; S. Y. Choi and A. M. Kim, “Development of indoor aquaponics control system using a computational thinking-based convergence instructional model,” Univers. J. Educ. Res., 2019, doi:10.13189/ujer.2019.071509.; S. Goddek and O. Körner, “A fully integrated simulation model of multi-loop aquaponics: A case study for system sizing in different environments,” Agric. Syst., 2019, doi:10.1016/j.agsy.2019.01.010.; W. Vernandhes, N. S. Salahuddin, A. Kowanda, and S. P. Sari, “Smart aquaponic with monitoring and control system based on IoT,” Proc. 2nd Int. Conf. Informatics Comput. ICIC 2017, vol. 2018-Janua, pp. 1–6, 2018, doi:10.1109/IAC.2017.8280590.; D. Karimanzira and T. Rauschenbach, “Enhancing aquaponics management with IoT-based Predictive Analytics for efficient information utilization,” Inf. Process. Agric., vol. 6, no. 3, pp. 375– 385, 2019, doi: https://doi.org/10.1016/j.inpa.2018.12.003.; A. M. Nagayo, C. Mendoza, E. Vega, R. K. S. Al Izki, and R. S. Jamisola, “An automated solar-powered aquaponics system towards agricultural sustainability in the Sultanate of Oman,” 2017 IEEE Int. Conf. Smart Grid Smart Cities, ICSGSC 2017, pp. 42–49, 2017, doi:10.1109/ICSGSC.2017.8038547.; D. Pantazi, S. Dinu, and S. Voinea, “The smart aquaponics greenhouse – an interdisciplinary educational laboratory,” Rom. Reports Phys., 2019.; A. Tumbaco y B. Daniela, «Optimización del proceso productivo para incrementar la Utilidad en Mundo Verde, » Universidad de Guayaquil Facultad de Ciencias Administrativas, Guayaquil, Ecuador, 2017.; J. Montero y S. Cecilia, «Invernadero para la, » Institut de Recerca i Tecnología Agroalimentaries de Cabrils, España, 2008.; G. Ramón y F. Rodríguez, «Algoritmo De Navegación Reactiva De Robots, » Universidad de Almería, España, 2015.; K. Yingchun y S. Yue, «A Greenhouse Temperature and Humidity Controller Based on MIMO Fuzzy System, » International Conference on Intelligent System Design and Engineering Application, nº 1, pp. 35-39, 2010.; S. A. Giraldo, R. C. Castaño, C. Flesch y J. E. Normey-Rico, «Multivariable Greenhouse Control Using the Filtered Smith Predictor, » Journal of Control, Automation and Electrical Systems, vol. 27, nº 4, pp. 349-358, 2016.; M. Heidari, «Climate Control of An Agricultural Greenhouse by Using Fuzzy Logic SelfTuning PID Approach, » Proceedings of the 23rd International Conference on Automation & Computing, University of Huddersfield, 2017.; J. G. Jurado, «diseño de sistemas de control multivariable por desacoplo con controladores PID, » madrid, 2012.; M. Ajit K, Introduction to Control Engineering Modeling, Analysis and Desing, NEW AGE INTERNATIONAL PUBLISHERS, 2006.; M. G. Martínez, «Síntesis de controladores robustos mediante el análisis de la compatibilidad de especificaciones e incertidumbre, » Tesis de Grado- Universidad Pública de Navarra, 2001.; C. H. Houpis, S. N. Sheldon y J. J. D’Azzo, Linear Control System Analysis and Design: Fifth Edition, London: Revised and Expanded., 2003.; J. Elso, M. G. Martínez y M. Garcia-Sanz, «Quantitative Feedback Control for Multivariable Model Matching and Disturbance Rejection, » International Journal of Robust and Nonlinear Control, vol. 1, nº 27, pp. 121-134, 2017.; M. Gil-Martínez y M. García-Sanz, «Simultaneous meeting of robust control specifications in QFT, » International Journal of Robust and Nonlinear Control, vol. 7, nº 13, p. 643–656., 2003.; Y. Chait y O. Yaniv, «Multi-Input/Single-Output Computer-Aided Control Design Using the Quantitative Feedback Theory, » International Journal of Robust and Nonlinear Control, vol. 1, nº 3, pp. 47-54, 1993; Z. Hu, W. Wan and K. Harada, "Designing a Mechanical Tool for Robots With Two-Finger Parallel Grippers," in IEEE Robotics and Automation Letters, vol. 4, no. 3, pp. 2981-2988, July 2019, doi:10.1109/LRA.2019.2924129.; L. Berscheid, T. Rühr and T. Kröger, "Improving Data Efficiency of Self-supervised Learning for Robotic Grasping," 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 2125-2131, doi:10.1109/ICRA.2019.8793952.; Y. Domae, A. Noda, T. Nagatani and W. Wan, "Robotic General Parts Feeder: Bin-picking, Regrasping, and Kitting," 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 5004-5010, doi:10.1109/ICRA40945.2020.9197056.; J. H. Sanchez, W. Amanhoud, A. Billard and M. Bouri, "Foot Control of a Surgical Laparoscopic Gripper via 5DoF Haptic Robotic Platform: Design, Dynamics and Haptic Shared Control," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 1255912566, doi:10.1109/ICRA48506.2021.9561887.; S. Ainetter and F. Fraundorfer, "End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 13452-13458, doi:10.1109/ICRA48506.2021.9561398.; S. K. Rajput, A. Kaushal, R. K. Singh and A. K. Sharma, "A Study and Fabrication of SMA based 3D Printed Adaptive Gripper," 2021 Smart Technologies, Communication and Robotics (STCR), 2021, pp. 1-5, doi:10.1109/STCR51658.2021.9588838.; C. Son and S. Kim, "A Shape Memory Polymer Adhesive Gripper For Pick-and-Place Applications," 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 10010-10016, doi:10.1109/ICRA40945.2020.9197511.; S. D. Liyanage, A. M. Mazid and P. Dzitac, "An Innovative Whisker Tactile Sensor for Intelligent Robotic Grasping," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi:10.1109/IECON48115.2021.9589765.; T. V. Prabhu, P. V. Manivannan, D. Roy and Yathishkumar, "A robust tactile sensor matrix for intelligent grasping of objects using robotic grippers," 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), 2021, pp. 400-405, doi:10.1109/IRIA53009.2021.9588669.; G. Hwang, J. Park, D. S. D. Cortes, K. Hyeon and K. -U. Kyung, "Electroadhesion-Based High-Payload Soft Gripper With Mechanically Strengthened Structure," in IEEE Transactions on Industrial Electronics, vol. 69, no. 1, pp. 642-651, Jan. 2022, doi:10.1109/TIE.2021.3053887.; J. Guo, J. -H. Low, X. Liang, J. S. Lee, Y. -R. Wong and R. C. H. Yeow, "A Hybrid Soft Robotic Surgical Gripper System for Delicate Nerve Manipulation in Digital Nerve Repair Surgery," in IEEE/ASME Transactions on Mechatronics, vol. 24, no. 4, pp. 1440-1451, Aug. 2019, doi:10.1109/TMECH.2019.2924518.; C.I. Basson, G. Bright y A.J. Walker. “Testing flexible grippers for geometric and surface grasping conformity in reconfigurable assembly systems.” En: South African Journal of Industrial Engineering 29.1 (2018), pags. 128 -142. ISSN: 2224-7890.; Festo AG & Co.KG. “MultiChoiceGripper”. En: Variable gripping based on human hand (2018).; https://ultimaker.com/es/software/ultimaker-cura, consultado Noviembre de 2021.; IFR, “Definition of Industrial Robot.” [Online]. Available: https://ifr.org/industrial-robots. [Accessed: 15-Sep-2021].; A. A. Malik and A. Bilberg, “Collaborative robots in assembly: A practical approach for tasks distribution,” Procedia CIRP, vol. 81, pp. 665–670, Jan. 2019.; P. Andhare and S. Rawat, “Pick and place industrial robot controller with computer vision,” Proc. - 2nd Int. Conf. Comput. Commun. Control Autom. ICCUBEA 2016, Feb. 2017.; J. Iqbal, Z. H. Khan, and A. Khalid, “Prospects of robotics in food industry,” Food Sci. Technol., vol. 37, no. 2, pp. 159–165, May 2017.; K. H. Tantawi, A. Sokolov, and O. Tantawi, “Advances in Industrial Robotics: From Industry 3.0 Automation to Industry 4.0 Collaboration,” TIMES-iCON 2019 - 2019 4th Technol. Innov. Manag. Eng. Sci. Int. Conf., Dec. 2019.; J. J. Vaca González, C. A. Peña Caro, and H. Vacca González, “Cinemática inversa de robot serial utilizando algoritmo genético basado en MCDS,” Rev. Tecnura, vol. 19, no. 44, p. 33, Apr. 2015.; O. A. Vivas Alban, M. F. Piamba Mamián, and Y. E. Otaya Bravo, “Diseño y construcción de una interfaz háptica de seis grados de libertad,” Tecnura, vol. 21, no. 54, pp. 33–40, Oct. 2017.; C. Ma, Y. Zhang, J. Cheng, B. Wang, and Q. Zhao, “Inverse kinematics solution for 6R serial manipulator based on RBF neural network,” Int. Conf. Adv. Mechatron. Syst. ICAMechS, vol. 0, pp. 350–355, Jul. 2016.; V. Noppeney, T. Boaventura, and A. Siqueira, “Task-space impedance control of a parallel Delta robot using dual quaternions and a neural network,” J. Brazilian Soc. Mech. Sci. Eng. 2021 439, vol. 43, no. 9, pp. 1–11, Aug. 2021.; M. Meghana et al., “Hand gesture recognition and voice-controlled robot,” Mater. Today Proc., vol. 33, pp. 4121–4123, Jan. 2020.; P. M. Reddy, S. P. Kalyan Reddy, G. R. Sai Karthik, and B. K. Priya, “Intuitive Voice Controlled Robot for Obstacle, Smoke and Fire Detection for Physically Challenged People,” Proc. 4th Int. Conf. Trends Electron. Informatics, ICOEI 2020, pp. 763–767, Jun. 2020.; G. Y. Luo, M. Y. Cheng, and C. L. Chiang, “Vision-based 3-D object pick-And-place tasks of industrial manipulator,” 2017 Int. Autom. Control Conf. CACS 2017, vol. 2017-November, pp. 1–7, Feb. 2018.; M. Zhao, Y. Peng, L. Li, and X. Qiao, “Detection and classification manipulator system for apple based on machine vision and optical technology,” ASABE 2020 Annu. Int. Meet., pp. 1-, 2020.; Annoni, Federico. 2000. “Sistemas de Sujecion y Soporte.” Journal of Petrology 369(1): 1689– 99. http://dx.doi.org/10.1016/j.jsames.2011.03.003%0Ahttps://doi.org/10.1016/j.gr.2017.08.001%0Ahtt p://dx.doi.org/10.1016/j.precamres.2014.12.018%0Ahttp://dx.doi.org/10.1016/j.precamres.2011.08. 005%0Ahttp://dx.doi.org/10.1080/00206814.2014.902757%0Ahttp://dx.“FT-TMH06.Pdf.”; Garzón, Yamid. 2020. “Sensores y Actuadores Introducción:” (2014): 1–32.; Hidai-go, Alfonso. 1987. “Construccion de Un Dinamometro Para Medir Fuerzas de Corte En La Operacion de Taladro.” Corporacion universitaria autonoma de occidente, programa de ingenieria.; Karabay, Sedat. 2007. “Analysis of Drill Dynamometer with Octagonal Ring Type Transducers for Monitoring of Cutting Forces in Drilling and Allied Process.” Materials and Design 28(2): 673–85.; Mohanraj, T., S. Shankar, R. Rajasekar, and M. S. Uddin. 2020. “Design, Development, Calibration, and Testing of Indigenously Developed Strain Gauge Based Dynamometer for Cutting Force Measurement in the Milling Process.” Journal of Mechanical Engineering and Sciences 14(2): 6594–6609.; Norton, Robert L. 2006. Diseño de Máquinas.; Ramírez, Luis Pablo. 2011. “Diseño De Un Dinamómetro Mediante El Método De Los Elementos Finitos.” Tendencias en Tecnología de Medición de Fuerza (6360).; Schmid, S Kalpakjian S R. 2002. ManufacturA, INGENIERÍA Y TecNOLOGÍA.; Setiyawan. 2013. 53 Journal of Chemical Information and Modeling Fundamentos de Manufactura Moderna 3edi Groover.; Morral, P. Metalurgía General, p. 1163, en Google Libros 2004.; Metalurgia general. II - F. R. Morral, P. Molera - Google Libros; Tecnitool. 2020. “DIFERENCIAS ENTRE LAS BROCAS DE TITANIO Y LAS DE COBALTO”. Diferencias entre broca acero rápido HSS con titanio y/o cobalto (tecnitool.es) demaquinasyherramientas1. 2010. “Partes de la broca”. De máquinas y herramientas. USAPartes Broca %7C De Máquinas y Herramientas (demaquinasyherramientas.com).; Esquivel R. 2017. “DISTINTOS TIPOS DE BROCAS PARA DISTINTOS TIPOS DE PROFESIONALES”. Revista Ferrepat. Distintos tipos de brocas para distintos tipos de profesionales (ferrepat.com).; Ingenieria mecánica y automotriz. 2020. “Qué es el Coeficiente de Poisson y cómo se calcula?”; ] Estudiantes metalografia. 2010. “Diagramas esfuerzo-deformación unitaria, convencional y real, para un material dúctil (acero) (no de escala)”. Universidad Tecnológica de Pereira.; Diagramas esfuerzo-deformación unitaria, convencional y real, para un material dúctil (acero) (no de escala) %7C METALOGRAFÍA – UNIVERSIDAD TECNOLÓGICA DE PEREIRA (utp.edu.co).; O. Herrera, A. Quino, B. Cabrera, “Control de cortinas”, noviembre 2021. [En línea]. Disponible en http://micro2verano2012.blogspot.com/2012/03/control-de-cortinas.html.; Fuenteelectronica.es, “Fotocelda – Control de dispositivos con la luz”, noviembre 2017. [En línea]. Disponible en: https://tuelectronica.es/fotocelda-control-de-dispositivos-con-la-luz/ [3] Electronicathidos, “Fotoresistencia LDR 5mm, 2 Mohms”, noviembre 2021. [En línea]. Disponible en: https://electronicathido.com/detallesProducto.php?id=MkxldEdPZ3AwbjNMUEV3aWdXb0pSdz09.; Real Academia Española,”Relé”, noviembre 2021.[En línea]. Disponible en: https://dle.rae.es/rel%C3%A9.; A.Perez-Paris,”RELÉS ELECTROMAGNÉTICOS Y ELECTRÓNICOS”, noviembre 2021 En línea]. Disponible en: http://www.vivatacademia.net/index.php/vivat/article/view/373/689.; Electro Club Didactic,”Potenciómetros (teoría y practica)”, noviembre 2021.[En línea]. Disponible en: http://www.electroclub.com.mx/2015/08/potenciometros-teoria-y-practica.html.; Chabonnier,”Potenciómetros”, noviembre 2021.[En línea]. Disponible en: https://deresistencias.com/wp-content/uploads/2020/08/Diagrama-en-blanco-64-1.png.; Pascual,J ,”Este gadget convierte tus viejas cortinas en cortinas inteligentes controladas con el móvil”,noviembre 2021 .[En línea]. Disponible en: https://computerhoy.com/noticias/life/gadgetconvierte-viejas-cortinas-cortinas-inteligentes-controladas-movil-516887.; Tecnología a tu alcance ,”¿Cómo hacer un circuito de apertura y cierre de cortinas?”,noviembre de 2021 .[En línea]. Disponible en: https://latecnologiaatualcance.com/como-hacer-un-circuito-deapertura-y-cierre-de-cortinas/.; Ruales.A ,”Diseño de puente Wheatstone para una fotoresistencia.”,noviembre de 2021.[En línea]. Disponible en: https://www.youtube.com/watch?v=Vz_6vPjn4Bo.; Figueiras.T ,”Cómo convertir el MOVIMIENTO ROTATORIO de un Motor en un MOVIMIENTO LINEAL”,noviembre de 2021 .[En línea]. Disponible en: https://youtu.be/WynJqz-hibA.; OMS, “Inocuidad de los alimentos”, 30/04 de 2020, [online]. Available at: https://www.who.int/es/news-room/fact-sheets/detail/food-safety.; Minsalud,” Enfermedades transmitidas por alimentos disminuyeron en 2020”,14/08/2020, [online]. Available at: https://www.minsalud.gov.co/Paginas/Enfermedades%20transmitidas%20por%20alimento s%20disminuyeron%20en%202020.aspx.; BES (Boletín Epidemiológico Semanal), “Vigilancia de brotes de enfermedades transmitidas por alimentos, Colombia, semana epidemiológica 31 de 2020”, 26/07 de 2020, [online]. Available at: https://www.ins.gov.co/buscador eventos/BoletinEpidemiologico/2020_Boletin_epidemiologico_semana_31.pdf.; BES (Boletín Epidemiológico Semanal),” Las enfermedades transmitidas por Alimentos-ETA”,23/12 de 2018, [online]. Available at: https://www.ins.gov.co/buscador eventos/boletinepidemiologico/2018%20bolet%C3%ADn%20epidemiol%C3%B3gico%20s emana%2052.pdf.; FAO, FIDA y PMA, Seguimiento de la seguridad alimentaria y la nutrición en apoyo de la Agenda 2030 para el Desarrollo Sostenible: Balance y perspectivas, 2016. [Online]. Available at: https://www.fao.org/3/i6188s/i6188s.pdf.; Ministerio de salud, Calidad e inocuidad de alimentos,15 de noviembre de 2021. [Online]. Available at: www.minsalud.gov.co/salud/Paginas/inocuidad-alimentos.aspx.; David K. Lewis,Method and apparatus for washing fruits and vegetables,2009. [Online]. Available at: patents.google.com/patent/US8293025B2/en?q=A23N12%2f02&oq=A23N12%2f02.; Garcia Portillo, M., 2015. Google Patents. [online] Patents.google.com. Available at: patents.google.com/patent/ES2544005A1/es?assignee=TECNIDEX&oq=TECNIDEX.; Di Pannini, H., 2011. Google Patents. [online] Patents.google.com. Available at:; J Goodale, R., 1975. US3880068A - Apparatus for washing and blanching of vegetables - Google Patents. [online] Patents.google.com. Available at: .; A Tiby, G., 1969. US3456659A - Apparatus for treating food articles - Google Patents. [online] Patents.google.com. Available at: .; Who.int, 2020.-"Inocuidad de los alimentos"-, [Online]. Available: .; Ministerio de salud, ABECÉ de la inocuidad de alimentos, 2017. [Online]. Available at: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PP/SNA/abc inocuidad.pdf.; E. I. Alimentos, Inocuidad alimentaria en América Latina, 2015. [Online]. Available: www.revistaialimentos.com/ediciones/edicion-19/inocuidad-alimentaria-en-america latina/>; Fao.org, CODEXALIMENTARIUS FAO-WHO, 1994 [online] Available at: www.fao.org/fao-who-codexalimentarius/es/> [Accessed 8 July 2021].; Fao.org. n.d. ,“Acerca del Codex %7C CODEXALIMENTARIUS FAO-WHO” ,not date, [online]. Available at: .; AJ Avances,” Normograma del Instituto Nacional de Vigilancia de Medicamentos y Alimentos, INVIMA”, 13 /12 de 2020, [online]. Available at: .; Miquel Mor,”¿aplicas biocidas? Descubre nueva formacion necesaria”, 29/10/2014, [online] Available at: .; LA VERDAD MULTIMEDIA, S.A,”Descontaminación superficial de alimentos que aumenta su vida útil”, 16/01 /2017,[online] Available at: .; Dirección Regional de Inocuidad de los Alimentos,”Guía para uso de cloro en desinfección de frutas y hortalizas de consumo fresco, equipos y superficies en establecimientos ”, 15/05/2019, [online] Available at:; Equipos, M., n.d. TRANSPORTADOR DE TORNILLO SIN FIN CHILE – MYP EQUIPOS. [online] Mypequipos.com. Available at: [Accessed 16 November 2021].; Intralogistica, I., 2018. Qué son las bandas transportadoras. [online] Irp intralogistica.com. Available at: [Accessed 16 November 2021].; Motorex. n.d. El uso de la faja transportadora en las industrias - Motorex. [online] Available at: [Accessed 16 November 2021].; Nittacorporation.com. n.d. Bandas transportadoras para alimentos. [online] Available at: .; Indomaxve.com. 2019. Conoce los tipos de Mangueras industriales que existen. [online] Available at: .; Blog de Ventageneradores. 2016. Tipos de Motobombas o Bombas de Agua: según tipos de aguas, caudal o presión. [online] Available at: .; GTE. n.d. Apuntes SEC. UIB. [online] Available at: .; Gecousb.com.ve. n.d. Motores 1LA7. [online] Available at: .; Appinventor.mit.edu. 2012. About Us. [online] Available at: .; Irdmailp.com. n.d. 37mm DC 12V Motor de Reducción de Velocidad Caja de Engranajes de Alta Fuerza de Tensión Motor Reductor de Velocidad 3.5/15/30/70RPM(70RPM). [online] Available at: .; López, S., 2020. Qué es Firebase: funcionalidades, ventajas y conclusiones. [online] DIGITAL55. Available at: .; Y. Rojas, K. Aguado, and I. González, “La nanomedicina y los sistemas de liberación de fármacos: ¿la (r)evolución de la terapia contra el cáncer?,” Educ. Quim., vol. 27, no. 4, pp. 286–291, 2016.; R. R. Wakaskar, “General overview of lipid–polymer hybrid nanoparticles, dendrimers, micelles, liposomes, spongosomes and cubosomes,” J. Drug Target., vol. 26, no. 4, pp. 311–318, 2018.; B. Alfonso and C. Casado, “DENDRÍMEROS: MACROMOLÉCULAS VERSÁTILES CON INTERÉS INTERDISCIPLINAR,” J. Chem. Inf. Model., vol. 01, no. 01, pp. 1689–1699, 2016.; B. Haley and E. Frenkel, “Nanoparticles for drug delivery in cancer treatment,” Urol. Oncol. Semin. Orig. Investig., vol. 26, no. 1, pp. 57–64, 2008.; M. C. Urrejola et al., “Sistemas de Np Poliméricas II: Estructura, Métodos de Elaboración, Características, Propiedades, Biofuncionalización y Tecnologías de Auto-Ensamblaje Capa por Capa (Layer-by-Layer Self-Assembly),” Int. J. Morphol., vol. 36, no. 4, pp. 1463–1471, 2018.; F. Chávez, B. I. Olvera, A. Ganem, and D. Quintanar, “Liberación de sustancias lipofílicas a partir de nanocápsulas poliméricas,” J. Mex. Chem. Soc., vol. 46, no. 4, pp. 349–356, 2002.; Z. M. Avval et al., “Introduction of magnetic and supermagnetic nanoparticles in new approach of targeting drug delivery and cancer therapy application,” Drug Metab. Rev., vol. 52, no. 1, pp. 157–184, 2020.; L. Mohammed, H. G. Gomaa, D. Ragab, and J. Zhu, “Magnetic nanoparticles for environmental and biomedical applications: A review,” Particuology, vol. 30, pp. 1–14, 2017.; A. S. Lübbe et al., “Clinical experiences with magnetic drug targeting: A phase I study with 4’-epidoxorubicin in 14 patients with advanced solid tumors,” Cancer Res., vol. 56, no. 20, pp. 4686– 4693, 1996.; H. D. Liu, W. Xu, S. G. Wang, and Z. J. Ke, “Hydrodynamic modeling of ferrofluid flow in magnetic targeting drug delivery,” Appl. Math. Mech. (English Ed., vol. 29, no. 10, pp. 1341–1349, 2008.; G. Zhang et al., “Oxygen-enriched Fe3O4/Gd2O3 nanopeanuts for tumor-targeting MRI and ROS-triggered dual-modal cancer therapy through platinum (IV) prodrugs delivery,” Chem. Eng. J., vol. 388, no. February, p. 124269, 2020.; S. Tong, H. Zhu, and G. Bao, “Magnetic iron oxide nanoparticles for disease detection and therapy,” Mater. Today, vol. 31, no. December, pp. 86–99, 2019.; M. Sosa, J. J. B. Alvarado, and J. L. Gonz, “Tecnicas biomagneticas y su comparacion con los metodos bioelectricos,” vol. 48, no. 5, pp. 490–500, 2002.; S. Bose and M. Banerjee, “Magnetic particle capture for biomagnetic fluid flow in stenosed aortic bifurcation considering particle-fluid coupling,” J. Magn. Magn. Mater., vol. 385, pp. 32–46, 2015.; M. Bartoszek and Z. Drzazga; “A study of magnetic anisotropy of blood cells,” vol. 197, pp. 573–575, 1999.; Y. Haik, V. Pai, and C. J. Chen, “Development of magnetic device for cell separation,” J. Magn. Magn. Mater., vol. 194, no. 1, pp. 254–261, 1999.; Z. Liu, Y. Zhu, R. R. Rao, J. R. Clausen, and C. K. Aidun, “Nanoparticle transport in cellular blood flow,” Comput. Fluids, vol. 172, pp. 609–620, 2018.; S. Y. Lee, M. Ferrari, and P. Decuzzi, “Shaping nano-/micro-particles for enhanced vascular interaction in laminar flows,” Nanotechnology, vol. 20, no. 49, 2009.; G. A. Duncan and M. A. Bevan, “Computational design of nanoparticle drug delivery systems for selective targeting,” Nanoscale, vol. 7, no. 37, pp. 15332–15340, 2015.; K. Müller, D. A. Fedosov, and G. Gompper, “Margination of micro- and nano-particles in blood flow and its effect on drug delivery,” Sci. Rep., vol. 4, pp. 1–8, 2014.; Y. Haik, V. Pai, and C. J. Chen, “Apparent viscosity of human blood in a high static magnetic field,” J. Magn. Magn. Mater., vol. 225, no. 1–2, pp. 180–186, 2001.; S. Afkhami and Y. Renardy, “Ferrofluids and magnetically guided superparamagnetic particles in flows: a review of simulations and modeling,” J. Eng. Math., vol. 107, no. 1, pp. 231–251, 2017.; I. Rukshin, J. Mohrenweiser, P. Yue, and S. Afkhami, “Modeling superparamagnetic particles in blood flow for applications in magnetic drug targeting,” Fluids, vol. 2, no. 2, pp. 1–12, 2017.; M. O. Avilés, A. D. Ebner, H. Chen, A. J. Rosengart, M. D. Kaminski, and J. A. Ritter, “Theoretical analysis of a transdermal ferromagnetic implant for retention of magnetic drug carrier particles,” J. Magn. Magn. Mater., vol. 293, no. 1, pp. 605–615, 2005.; A. Hajiaghajani, S. Hashemi, and A. Abdolali, “Adaptable setups for magnetic drug targeting in human muscular arteries: Design and implementation,” J. Magn. Magn. Mater., vol. 438, pp. 173– 180, 2017.; V. R. Sharma, A. K. Sharma, V. Punj, and P. Priya, “Recent nanotechnological interventions targeting PI3K/Akt/mTOR pathway: A focus on breast cancer,” Semin. Cancer Biol., vol. 59, no. July 2019, pp. 133–146, 2019.; M. E. Miller, Human Diseases and Yeast.Pdf, First edit. New York: Momentum Press Health, 2018.; A. S. Lübbe, C. Bergemann, W. Huhnt, T. Fricke, and H. Riess, “Lübbe1996_Preclinical,” pp. 4694–4701, 1996.; Lübbe., C. Bergemann, J. Brock, and D. G. McClure, “Physiological aspects in magnetic drug-targeting,” J. Magn. Magn. Mater., vol. 194, no. 1, pp. 149–155, 1999.; C. Alexiou et al., “Locoregional cancer treatment with magnetic drug targeting,” Cancer Res., vol. 60, no. 23, pp. 6641–6648, 2000.; C. Alexiou, A. Schmidt, R. Klein, P. Hulin, C. Bergemann, and W. Arnold, “Magnetic drug targeting: Biodistribution and dependency on magnetic field strength,” J. Magn. Magn. Mater., vol. 252, no. 1-3 SPEC. ISS., pp. 363–366, 2002.; K. Gitter and S. Odenbach, “Experimental investigations on a branched tube model in magnetic drug targeting,” J. Magn. Magn. Mater., vol. 323, no. 10, pp. 1413–1416, 2011.; M. G. Krukemeyer, V. Krenn, M. Jakobs, and W. Wagner, “Mitoxantrone-iron oxide biodistribution in blood, tumor, spleen, and liver - Magnetic nanoparticles in cancer treatment,” J. Surg. Res., vol. 175, no. 1, pp. 35–43, 2012.; M. M. Attar et al., “Thermal analysis of magnetic nanoparticle in alternating magnetic field on human HCT-116 colon cancer cell line,” Int. J. Hyperth., vol. 32, no. 8, pp. 858–867, 2016.; R. Eivazzadeh-Keihan, F. Radinekiyan, A. Maleki, M. Salimi Bani, Z. Hajizadeh, and S. Asgharnasl, “A novel biocompatible core-shell magnetic nanocomposite based on cross-linked chitosan hydrogels for in vitro hyperthermia of cancer therapy,” Int. J. Biol. Macromol., vol. 140, pp. 407–414, 2019.; S. Shabestari Khiabani, M. Farshbaf, A. Akbarzadeh, and S. Davaran, “Magnetic nanoparticles: preparation methods, applications in cancer diagnosis and cancer therapy,” Artif. Cells, Nanomedicine Biotechnol., vol. 45, no. 1, pp. 6–17, 2017.; K. T. Al-Jamal et al., “Magnetic Drug Targeting: Preclinical in Vivo Studies, Mathematical Modeling, and Extrapolation to Humans,” Nano Lett., vol. 16, no. 9, pp. 5652–5660, 2018.; M. Minbashi, A. A. Kordbacheh, A. Ghobadi, and V. V. Tuchin, “Optimization of power used in liver cancer microwave therapy by injection of Magnetic Nanoparticles (MNPs),” Comput. Biol. Med., vol. 120, no. February, p. 103741, 2020.; A. Nan, M. Suciu, I. Ardelean, M. Şenilă, and R. Turcu, “Characterization of the Nuclear Magnetic Resonance Relaxivity of Gadolinium Functionalized Magnetic Nanoparticles,” Anal. Lett., vol. 0, no. 0, pp. 1–16, 2020.; I. Cicha, S. Lyer, C. Alexiou, and C. D. Garlichs, “Nanomedicine in diagnostics and therapy of cardiovascular diseases: Beyond atherosclerotic plaque imaging,” Nanotechnol. Rev., vol. 2, no. 4, pp. 449–472, 2013.; M. Nahrendorf et al., “Nanoparticle PET-CT imaging of macrophages in inflammatory atherosclerosis,” Circulation, vol. 117, no. 3, pp. 379–387, 2008.; S. Jaimes, A. Gonzáles, C. Granados, D. Álvarez, and E. Espitia, “Redalyc.Nanotecnología: avances y expectativas en cirugía,” Rev. Colomb. Cirugía, vol. 27, pp. 158–166, 2012.; B. Méndez and C. Muñoz, “Nanochips y nanosensores para eldiagnóstico temprano de cáncer oral: una revisión,” no. 67, pp. 131–147, 2012.; D. Rodriguez, J. Moyano, and L. Roa, “Estudio por dinámica molecular browniana de np bajo efectos de Bs externos,” Ing. Mil., vol. 13, no. 9, pp. 90–98, 2018.; J. Gallo and C. Ossa, “Fabricación y caracterización de np de plata con potencial uso en el tratamiento del cáncer de piel,” Ing. y Desarro., vol. 37, no. 1, pp. 88–104, 2019.; J. Pantoja, “np magnéticas en flujo sanguíneo para tratamiento de cáncer,” Universidad Distrital Francisco José de Caldas, 2020.; https://hdl.handle.net/11349/31171; Universidad Distrital Francisco José de Caldas

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Methodology for the formulation and solution of optimization problems regarding the operation of distribution networks with battery storage systems ; Metodología para la formulación y solución de problemas de optimización sobre la operación de redes de distribución con sistemas de almacenamiento por baterías

Authors: Mendoza Osorio, Diego Felipe Rosero García, Javier Alveiro Electrical Machines & Drives, Em&D et al.

Contributors: Mendoza Osorio, Diego Felipe Rosero García, Javier Alveiro Electrical Machines & Drives, Em&D et al.

Subject Terms: 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería, 621.3192, ABASTECIMIENTO DE ENERGIA, REDES ELECTRICAS, DISTRIBUCION DE ENERGIA ELECTRICA, SISTEMAS DE INTERCONEXION ELECTRICA-AUTOMATIZACION, Energy supply, Electric networks, Electric power distribution, Interconnected electric utility systems -- Automation, Battery energy storage systems (BESS), Active distribution networks, Probability density functions (PDF), Uncertainty, Power flow analysis (PF), Metaheuristics, Non convex optimization, Convex optimization, Photovoltaics (PV), Redes activas de distribución, Funciones de densidad de probabilidad (PDF), Incertidumbre, Análisis de flujo de potencia (PF), Metaheuristicas, Optimización no convexa, Optimización convexa, Energía solar fotovoltaica (PV), Sistemas de almacenamiento de energía con baterías (BESS)

File Description: xxi, 291 páginas; application/pdf

Relation: Gagnon, P. et al. 2022 Standard Scenarios Report: A U.S. Electricity Sector Outlook tech. rep. (Nrel,2022). www.nrel.gov/publications; Ahlqvist, V., Holmberg, P. & Tangerås, T. A survey comparing centralized and decentralized electricity markets. Energy Strategy Reviews 40, 100812. issn: 2211467X. https://linkinghub.elsevier.com/retrieve/pii/S2211467X22000128 (Mar. 2022).; Caballero-Peña, J., Cadena-Zarate, C., Parrado-Duque, A. & Osma-Pinto, G. Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts. International Journal of Electrical Power & Energy Systems 138, 107900. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061521011133 (June 2022).; Lee, D., Han, C., Kang, S. & Jang, G. Chance-constrained optimization for active distribution networks with virtual power lines. Electric Power Systems Research 221, 109449. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779623003383 (Aug. 2023).; Mendoza Osorio, D. & Rosero Garcia, J. Optimization of Distributed Energy Resources in Distribution Networks: Applications of Convex Optimal Power Flow Formulations in Distribution Networks. International Transactions on Electrical Energy Systems 2023 (ed Hampannavar, S.) 1–16. issn: 2050-7038. https://www.hindawi.com/journals/itees/2023/1000512/ (Apr. 2023).; Zarei, S. F. & Khankalantary, S. Protection of active distribution networks with conventional and inverter-based distributed generators. International Journal of Electrical Power & Energy Systems 129, 106746. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061520342915 (July 2021).; Sirviö, K. H., Laaksonen, H., Kauhaniemi, K. & Hatziargyriou, N. Evolution of the Electricity Distribution Networks—Active Management Architecture Schemes and Microgrid Control Functionalities. Applied Sciences 11, 2793. issn: 2076-3417. https://www.mdpi.com/2076-3417/11/6/2793 (Mar. 2021).; Rodziewicz, T., Rajfur, M., Teneta, J., Świsłowski, P. & Wacławek, M. Modelling and analysis of the influence of solar spectrum on the efficiency of photovoltaic modules. Energy Reports 7, 565–574. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484721000147 (Nov. 2021).; Benda, V. & Černá, L. PV cells and modules – State of the art, limits and trends. Heliyon 6, e05666. issn: 24058440. https://linkinghub.elsevier.com/retrieve/pii/S2405844020325093 (Dec. 2020).; El Hammoumi, A., Chtita, S., Motahhir, S. & El Ghzizal, A. Solar PV energy: From material to use, and the most commonly used techniques to maximize the power output of PV systems: A focus on solar trackers and floating solar panels. Energy Reports 8, 11992–12010. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722017784 (Nov. 2022).; Tifidat, K., Maouhoub, N., Askar, S. & Abouhawwash, M. Numerical procedure for accurate simulation of photovoltaic modules performance based on the identification of the single-diode model parameters. Energy Reports 9, 5532–5544. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484723007412 (Dec. 2023).; Lidaighbi, S. et al. A new hybrid method to estimate the single-diode model parameters of solar photovoltaic panel. Energy Conversion and Management: X 15, 100234. issn: 25901745. https://linkinghub.elsevier.com/retrieve/pii/S2590174522000575 (Aug. 2022).; Schweighofer, B., Buchroithner, A., Felsberger, R. & Wegleiter, H. Optimized selection of component models for photovoltaic and energy storage system simulations. Solar Energy 249, 559–568. issn:0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X22008787 (Jan. 2023).; Rehman, N., Mufti, M. u. d. & Gupta, N. Analytical index-based allocation and sizing of Lambert-W modeled PV in an active distribution network. Energy Conversion and Management: X 17. issn: 25901745 (Jan. 2023).; Seapan, M., Hishikawa, Y., Yoshita, M. & Okajima, K. Temperature and irradiance dependences of the current and voltage at maximum power of crystalline silicon PV devices. Solar Energy 204, 459–465. issn: 0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X20305089 (July 2020).; Gil-González, W., Garces, A., Montoya, O. D. & Hernández, J. C. A Mixed-Integer Convex Model for the Optimal Placement and Sizing of Distributed Generators in Power Distribution Networks. Applied Sciences 11, 627. issn: 2076-3417. https://www.mdpi.com/2076-3417/11/2/627 (Jan. 2021).; Mendoza Osorio, D. & Rosero Garcia, J. Convex Stochastic Approaches for the Optimal Allocation of Distributed Energy Resources in AC Distribution Networks with Measurements Fitted to a Continuous Probability Distribution Function. Energies 16, 5566. issn: 1996-1073. https://www.mdpi.com/1996-1073/16/14/5566 (July 2023).; Bouhorma, N., Martín, H., de la Hoz, J. & Coronas, S. A Comprehensive Methodology for the Statistical Characterization of Solar Irradiation: Application to the Case of Morocco. Applied Sciences 13, 3365. issn: 2076-3417. https://www.mdpi.com/2076-3417/13/5/3365 (Mar. 2023).; Singh, N., Jena, S. & Panigrahi, C. K. A novel application of Decision Tree classifier in solar irradiance prediction. Materials Today: Proceedings 58, 316–323. issn: 22147853. https://linkinghub.elsevier.com/retrieve/pii/S2214785322008124 (Jan. 2022).; Hou, X., Ju, C. & Wang, B. Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and an attention mechanism. Heliyon 9, e21484. issn: 24058440. https://linkinghub.elsevier.com/retrieve/pii/S2405844023086929 (Nov. 2023).; Jeon, B.-K. & Kim, E.-J. Solar irradiance prediction using reinforcement learning pre-trained with limited historical data. Energy Reports 10, 2513–2524. issn: 23524847. https : / / linkinghub .elsevier.com/retrieve/pii/S2352484723012866 (Nov. 2023).; Gao, Y., Li, P., Yang, H. & Wang, J. A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series. Engineering Applications of Artificial Intelligence 126, 106986. issn: 09521976. https://linkinghub.elsevier.com/retrieve/pii/S0952197623011703 (Nov. 2023).; Haro-Larrode, M. & Bayod-Rújula, Á. A. A coordinated control hybrid MPPT algorithm for a grid-tied PV system considering a VDCIQ control structure. Electric Power Systems Research 221, 109426. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779623003152 (Aug.2023).; Lefevre, B., Herteleer, B., Breucker, S. D. & Driesen, J. Bayesian inference based MPPT for dynamic irradiance conditions. Solar Energy 174, 1153–1162. issn: 0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X18308636 (Nov. 2018).; Çırak, C. R. & Çalık, H. Hotspots in maximum power point tracking algorithms for photovoltaic systems – A comprehensive and comparative review. Engineering Science and Technology, an International Journal 43, 101436. issn: 22150986. https://linkinghub.elsevier.com/retrieve/pii/S2215098623001143 (July 2023).; Chandra Mahato, G., Ranjan Biswal, S., Roy Choudhury, T., Nayak, B. & Bikash Santra, S. Review of active power control techniques considering the impact of MPPT and FPPT during high PV penetration. Solar Energy 251, 404–419. issn: 0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X23000415 (Feb. 2023).; Başoğlu, M. E. Comprehensive review on distributed maximum power point tracking: Submodule level and module level MPPT strategies. Solar Energy 241, 85–108. issn: 0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X2200370X (July 2022).; Mishra, V. L., Chauhan, Y. K. & Verma, K. A critical review on advanced reconfigured models and metaheuristics-based MPPT to address complex shadings of solar array. Energy Conversion and Management 269, 116099. issn: 01968904. https://linkinghub.elsevier.com/retrieve/pii/S0196890422008858 (Oct. 2022).; Kumar, B. R. & Malarvizhi, D. M. An improved three phase cascaded multilevel inverter for maximum power point tracking application. Microprocessors and Microsystems 98, 104736. issn: 01419331. https://linkinghub.elsevier.com/retrieve/pii/S0141933122002654 (Apr. 2023).; Mathew, D. & Naidu, R. C. A review on single-phase boost inverter technology for low power grid integrated solar PV applications. Ain Shams Engineering Journal, 102365. issn: 20904479. https://linkinghub.elsevier.com/retrieve/pii/S209044792300254X (June 2023).; Mehta, S. & Puri, V. A review of different multi-level inverter topologies for grid integration of solar photovoltaic system. Renewable Energy Focus 43, 263–276. issn: 17550084. https://linkinghub.elsevier.com/retrieve/pii/S1755008422000825 (Dec. 2022).; C., D., Sanjeevikumar, P. & Muyeen, S. A structural overview on transformer and transformer-less multi level inverters for renewable energy applications. Energy Reports 8, 10299–10333. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722014317 (Nov. 2022).; Ezhilarasan, G. et al. An empirical survey of topologies, evolution, and current developments in multilevel inverters. Alexandria Engineering Journal 83, 148–194. issn: 11100168. https://linkinghub.elsevier.com/retrieve/pii/S1110016823009511 (Nov. 2023).; Memarzadeh, G. & Keynia, F. A new hybrid CBSA-GA optimization method and MRMI-LSTM forecasting algorithm for PV-ESS planning in distribution networks. Journal of Energy Storage 72, 108582. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X23019795 (Nov. 2023).; David, M., Boland, J., Cirocco, L., Lauret, P. & Voyant, C. Value of deterministic day-ahead forecasts of PV generation in PV + Storage operation for the Australian electricity market. Solar Energy 224, 672–684. issn: 0038092X. https://linkinghub.elsevier.com/retrieve/pii/S0038092X21004862 (Aug. 2021).; Adewuyi, O. B., Shigenobu, R., Senjyu, T., Lotfy, M. E. & Howlader, A. M. Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study. Electric Power Systems Research 168, 269–282. issn: 03787796 (Mar. 2019).; Yang, J. et al. A spatio-temporality-enabled parallel multi-agent-based real-time dynamic dispatch for hydro-PV-PHS integrated power system. Energy 278, 127915. issn: 03605442. https://linkinghub.elsevier.com/retrieve/pii/S0360544223013099 (Sept. 2023).; Michael, N. E., Hasan, S., Al-Durra, A. & Mishra, M. Economic scheduling of virtual power plant in dayahead and real-time markets considering uncertainties in electrical parameters. Energy Reports 9, 3837–3850. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484723002378 (Dec. 2023).; Mendoza Osorio, D. Revisión de la optimización de Bess en sistemas de potencia. TecnoLógicas 26, e2426. issn: 2256-5337. https://revistas.itm.edu.co/index.php/tecnologicas/article/view/ 2426 (Dec. 2022).; Zecchino, A., Yuan, Z., Sossan, F., Cherkaoui, R. & Paolone, M. Optimal provision of concurrent primary frequency and local voltage control from a BESS considering variable capability curves: Modelling and experimental assessment. Electric Power Systems Research 190, 106643. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779620304466 (Jan. 2021).; Stecca, M., Ramirez Elizondo, L., Batista Soeiro, T., Bauer, P. & Palensky, P. A Comprehensive Review of the Integration of Battery Energy Storage Systems into Distribution Networks. IEEE Open Journal of the Industrial Electronics Society 1, 1–1. issn: 2644-1284. https://ieeexplore.ieee.org/document/9040552/ (2020).; Hadjipaschalis, I., Poullikkas, A. & Efthimiou, V. Overview of current and future energy storage technologies for electric power applications. Renewable and Sustainable Energy Reviews 13, 1513–1522. issn: 13640321. https://linkinghub.elsevier.com/retrieve/pii/S1364032108001664 (Aug.2009).; Aneke, M. & Wang, M. Energy storage technologies and real life applications – A state of the art review. Applied Energy 179, 350–377. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261916308728 (Oct. 2016).; Zubi, G., Dufo-López, R., Carvalho, M. & Pasaoglu, G. The lithium-ion battery: State of the art and future perspectives. Renewable and Sustainable Energy Reviews 89, 292–308. issn: 13640321. https://linkinghub.elsevier.com/retrieve/pii/S1364032118300728 (June 2018).; Maeyaert, L., Vandevelde, L. & Döring, T. Battery Storage for Ancillary Services in Smart Distribution Grids. Journal of Energy Storage 30, 101524. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X19310898 (Aug. 2020).; Sakipour, R. & Abdi, H. Voltage stability improvement of wind farms by self-correcting static volt-ampere reactive compensator and energy storage. International Journal of Electrical Power & Energy Systems 140, 108082. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061522001247 (Sept. 2022).; Mohamed Amine, H., Mouaz, A. K., Messaoud, H., Othmane, A. & Saad, M. Contribution to strengthening Bus voltage stability and power exchange balance of a decentralized DC-multi-microgrids: Performance assessment of classical, optimal, and nonlinear controllers for hybridized energy storage systems control. Sustainable Cities and Society 96, 104647. issn: 22106707. https://linkinghub.elsevier.com/retrieve/pii/S2210670723002585 (Sept. 2023).; Khalid, H. A., Al-Emadi, N. A., Ben-Brahim, L., Gastli, A. & Cecati, C. A novel model predictive control with an integrated SOC and floating DC-link voltage balancing for 3-phase 7-level PUC converter-based MV BESS. International Journal of Electrical Power & Energy Systems 130, 106895. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061521001356 (Sept.2021).; N., R. B., M., V. G. R. & R., S. R. Battery energy integrated active power filter for harmonic compensation and active power injection. Sustainable Computing: Informatics and Systems 35, 100664. issn: 22105379. https://linkinghub.elsevier.com/retrieve/pii/S2210537922000087 (Sept.2022).; Fahad, S., Goudarzi, A., Li, Y. & Xiang, J. A coordination control strategy for power quality enhancement of an active distribution network. Energy Reports 8, 5455–5471. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722007776 (Nov. 2022).; Li, Y., Zhang, L., Lai, K. & Zhang, X. Dynamic state estimation method for multiple battery energy storage systems with droop-based consensus control. International Journal of Electrical Power & Energy Systems 134, 107328. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061521005676 (Jan. 2022).; Bizon, N. Effective mitigation of the load pulses by controlling the battery/SMES hybrid energy storage system. Applied Energy 229, 459–473. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261918311681 (Nov. 2018).; Abianeh, A. J. & Ferdowsi, F. Sliding Mode Control Enabled Hybrid Energy Storage System for Islanded DC Microgrids with Pulsing Loads. Sustainable Cities and Society 73, 103117. issn: 22106707. https://linkinghub.elsevier.com/retrieve/pii/S2210670721003991 (Oct. 2021).; Liu, J. et al. PV-based virtual synchronous generator with variable inertia to enhance power system transient stability utilizing the energy storage system. Protection and Control of Modern Power Systems 2, 39. issn: 2367-2617. https://pcmp.springeropen.com/articles/10.1186/s41601-017-0070-0 (Dec. 2017).; Okafor, C. E. & Folly, K. A. Optimal placement of BESS in a power system network for frequency support during contingency. Energy Reports 10, 3681–3695. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484723014506 (Nov. 2023).; Liang, L. & Lin, L. A resilience enhanced hierarchical strategy of battery energy storage for frequency regulation. Energy Reports 9, 625–636. issn: 23524847. https : / / linkinghub.elsevier. com/retrieve/pii/S2352484723004699 (Sept. 2023).; Akpinar, K. N., Gundogdu, B., Ozgonenel, O. & Gezegin, C. An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach. Electric Power Systems Research 216, 109040. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622010896 (Mar. 2023).; Xing, W. et al. An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids. Energy 233, 121155. issn: 03605442. https://linkinghub.elsevier.com/ retrieve/pii/S0360544221014031 (Oct. 2021).; Sati, S. E., Al-Durra, A., Zeineldin, H., EL-Fouly, T. H. & El-Saadany, E. F. A novel virtual inertiabased damping stabilizer for frequency control enhancement for islanded microgrid. International Journal of Electrical Power & Energy Systems 155, 109580. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061523006373 (Jan. 2024).; Alonso Sørensen, D., Vázquez Pombo, D. & Torres Iglesias, E. Energy storage sizing for virtual inertia contribution based on ROCOF and local frequency dynamics. Energy Strategy Reviews 47, 101094. issn: 2211467X. https://linkinghub.elsevier.com/retrieve/pii/S2211467X23000445 (May.2023).; Rancilio, G., Bovera, F. & Merlo, M. Revenue Stacking for BESS: Fast Frequency Regulation and Balancing Market Participation in Italy. International Transactions on Electrical Energy Systems 2022 (ed Gao, C. W.) 1–18. issn: 2050-7038. https://www.hindawi.com/journals/itees/2022/1894003/ (June 2022).; Zhang, S., Liu, H., Wang, F., Yan, T. & Wang, K. Secondary frequency control strategy for BESS considering their degree of participation. Energy Reports 6, 594–602. issn: 23524847. https:// linkinghub.elsevier.com/retrieve/pii/S2352484720316085 (Dec. 2020).; Zhao, Y. et al. Energy storage for black start services: A review. International Journal of Minerals, Metallurgy and Materials 29, 691–704. issn: 1674-4799. https://link.springer.com/10.1007/s12613-022-2445-0 (Apr. 2022).; Izadkhast, S., Cossent, R., Frías, P., García-González, P. & Rodríguez-Calvo, A. Performance Evaluation of a BESS Unit for Black Start and Seamless Islanding Operation. Energies 15, 1736. issn: 1996-1073. https://www.mdpi.com/1996-1073/15/5/1736 (Feb. 2022).; Marchgraber, J. & Gawlik, W. Investigation of Black-Starting and Islanding Capabilities of a Battery Energy Storage System Supplying a Microgrid Consisting of Wind Turbines, Impedance- and Motor-Loads. Energies 13, 5170. issn: 1996-1073. https://www.mdpi.com/1996-1073/13/19/5170 (Oct.2020).; Hassanzadeh, M. E., Nayeripour, M., Hasanvand, S. & Waffenschmidt, E. Decentralized control strategy to improve dynamic performance of micro-grid and reduce regional interactions using BESS in the presence of renewable energy resources. Journal of Energy Storage 31, 101520. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X19311454 (Oct. 2020).; Aziz, T., Masood, N.-A., Deeba, S. R., Tushar, W. & Yuen, C. A methodology to prevent cascading contingencies using BESS in a renewable integrated microgrid. International Journal of Electrical Power & Energy Systems 110, 737–746. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061518329685 (Sept. 2019).; Khunkitti, S., Boonluk, P. & Siritaratiwat, A. Optimal Location and Sizing of BESS for Performance Improvement of Distribution Systems with High DG Penetration. International Transactions on Electrical Energy Systems 2022 (ed Rizzo, S. A.) 1–16. issn: 2050-7038. https://www.hindawi.com/journals/itees/2022/6361243/ (June 2022).; Adewuyi, O. B., Shigenobu, R., Ooya, K., Senjyu, T. & Howlader, A. M. Static voltage stability improvement with battery energy storage considering optimal control of active and reactive power injection. Electric Power Systems Research 172, 303–312. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779619301312 (July 2019).; Khan, H. A., Zuhaib, M. & Rihan, M. Voltage fluctuation mitigation with coordinated OLTC and energy storage control in high PV penetrating distribution network. Electric Power Systems Research 208, 107924. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622001547 (July 2022).; Ahmadi, B., Ceylan, O. & Ozdemir, A. Voltage Profile Improving And Peak Shaving Using Multi-type Distributed Generators And Battery Energy Storage Systems In Distribution Networks in 2020 55th International Universities Power Engineering Conference (UPEC) (IEEE, Sept. 2020), 1–6. isbn: 978-1-7281-1078-3. https://ieeexplore.ieee.org/document/9209880/.; Shakrina, Y., Al Sobbahi, R. & Margossian, H. Optimal BESS Sizing for Industrial Facilities Participating in RTP DR. International Transactions on Electrical Energy Systems 2023 (ed Sun, Q.) 1–12. issn: 2050-7038. https://www.hindawi.com/journals/itees/2023/8857061/ (Oct. 2023).; Gupta, S. K., Ghose, T. & Chatterjee, K. Coordinated control of Incentive-Based Demand Response Program and BESS for frequency regulation in low inertia isolated grid. Electric Power Systems Research 209, 108037. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622002620 (Aug. 2022).; Sharma, S., Niazi, K., Verma, K. & Rawat, T. Coordination of different DGs, BESS and demand response for multi-objective optimization of distribution network with special reference to Indian power sector. International Journal of Electrical Power & Energy Systems 121, 106074. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061519327322 (Oct. 2020).; Pusceddu, E., Zakeri, B. & Castagneto Gissey, G. Synergies between energy arbitrage and fast frequency response for battery energy storage systems. Applied Energy 283, 116274. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261920316640 (Feb. 2021).; Mustafa, M. B. et al. Evaluation of a battery energy storage system in hospitals for arbitrage and ancillary services. Journal of Energy Storage 43, 103183. issn: 2352152X. https://linkinghub. elsevier.com/retrieve/pii/S2352152X21008835 (Nov. 2021).; García-Miguel, P. L. C., Asensio, A. P., Merino, J. L. & Plaza, M. G. Analysis of cost of use modelling impact on a battery energy storage system providing arbitrage service. Journal of Energy Storage 50, 104203. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X22002341 (June 2022).; Bai, Y., Wang, J. & He, W. Energy arbitrage optimization of lithium-ion battery considering shortterm revenue and long-term battery life loss. Energy Reports 8, 364–371. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S235248472202145X (Dec. 2022).; Feng, L. et al. Optimization analysis of energy storage application based on electricity price arbitrage and ancillary services. Journal of Energy Storage 55, 105508. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X22015006 (Nov. 2022).; Xie, R. et al. BESS frequency regulation strategy on the constraints of planned energy arbitrage using chance-constrained programming. Energy Reports 8, 73–80. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722009751 (Nov. 2022).; Zhang, R. et al. A new starting capability assessment method for induction motors in an industrial islanded microgrid with diesel generators and energy storage systems. Electric Power Systems Research 210, 108099. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622003236 (Sept. 2022).; Sanjareh, M. B., Nazari, M. H., Gharehpetian, G. B., Ahmadiahangar, R. & Rosin, A. Optimal scheduling of HVACs in islanded residential microgrids to reduce BESS size considering effect of discharge duration on voltage and capacity of battery cells. Sustainable Energy, Grids and Networks 25, 100424. issn: 23524677. https://linkinghub.elsevier.com/retrieve/pii/S2352467720303556 (Mar. 2021).; Rana, M. M., Romlie, M. F., Abdullah, M. F., Uddin, M. & Sarkar, M. R. A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system. Energy 234, 121157. issn: 03605442. https://linkinghub.elsevier.com/retrieve/pii/S0360544221014055 (Nov. 2021).; Mendoza, D. & Rosero Garcia, J. Multi-Objective Optimization of a Microgrid Considering MBESS Efficiencies, the Initial State of Charge, and Storage Capacity. International Review of Electrical Engineering (IREE) 17, 273. issn: 2533-2244. https://www.praiseworthyprize.org/jsm/index.php?journal=iree&page=article&op=view&path%5B%5D=26585 (June 2022).; Cortés-Caicedo, B., Grisales-Noreña, L. F., Montoya, O. D. & Bolaños, R. I. Optimization of BESS placement, technology selection, and operation in microgrids for minimizing energy losses and CO2 emissions: A hybrid approach. Journal of Energy Storage 73. issn: 2352152X (Dec. 2023).; Ahlawat, A. & Das, D. Optimal sizing and scheduling of battery energy storage system with solar and wind DG under seasonal load variations considering uncertainties. Journal of Energy Storage 74, 109377. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X23027755 (Dec. 2023).; González-Moreno, A., Marcos, J., de la Parra, I. & Marroyo, L. Control method to coordinate inverters and batteries for power ramp-rate control in large PV plants: Minimizing energy losses and battery charging stress. Journal of Energy Storage 72, 108621. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X23020182 (Nov. 2023).; Hazra, J., Padmanaban, M., Zaini, F. & De Silva, L. C. Congestion relief using grid scale batteries in 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2 (IEEE,Feb. 2015), 1–5. isbn: 978-1-4799-1785-3. http://ieeexplore.ieee.org/document/7131789/.; Ranamuka, D., Muttaqi, K. M. & Sutanto, D. Flexible AC Power Flow Control in Distribution Systems by Coordinated Control of Distributed Solar-PV and Battery Energy Storage Units. IEEE Transactions on Sustainable Energy 11, 2054–2062. issn: 1949-3029. https://ieeexplore.ieee.org/document/8801919/ (Oct. 2020).; Paladin, A. et al. Micro market based optimisation framework for decentralised management of distributed flexibility assets. Renewable Energy 163, 1595–1611. issn: 09601481. https://linkinghub.elsevier.com/retrieve/pii/S096014812031569X (Jan. 2021).; Mehrjerdi, H., Rakhshani, E. & Iqbal, A. Substation expansion deferral by multi-objective battery storage scheduling ensuring minimum cost. Journal of Energy Storage 27, 101119. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X19312034 (Feb. 2020).; Li, C., Zhou, H., Li, J. & Dong, Z. Economic dispatching strategy of distributed energy storage for deferring substation expansion in the distribution network with distributed generation and electric vehicle. Journal of Cleaner Production 253, 119862. issn: 09596526. https://linkinghub.elsevier.com/retrieve/pii/S0959652619347328 (Apr. 2020).; Saboori, H. & Jadid, S. Mobile and self-powered battery energy storage system in distribution networks–Modeling, operation optimization, and comparison with stationary counterpart. Journal of Energy Storage 42, 103068. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X21007763 (Oct. 2021).; Saboori, H. & Jadid, S. Optimal scheduling of mobile utility-scale battery energy storage systems in electric power distribution networks. Journal of Energy Storage 31, 101615. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X20314523 (Oct. 2020).; Rajabzadeh, M. & Kalantar, M. Improving the resilience of distribution network in coming across seismic damage using mobile battery energy storage system. Journal of Energy Storage 52, 104891. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X22008982 (Aug.2022).; Mossaddek, M. et al. Nonlinear modeling of lithium-ion battery. Materials Today: Proceedings 66, 80–84. issn: 22147853. https://linkinghub.elsevier.com/retrieve/pii/S2214785322016418 (2022).; Kamruzzaman, M., Zhang, X., Abdelmalak, M., Shi, D. & Benidris, M. A data-driven accurate battery model to use in probabilistic analyses of power systems. Journal of Energy Storage 44, 103292. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X21009841 (Dec. 2021).; Krieger, E. M. & Arnold, C. B. Effects of undercharge and internal loss on the rate dependence of battery charge storage efficiency. Journal of Power Sources 210, 286–291. issn: 03787753. https://linkinghub.elsevier.com/retrieve/pii/S0378775312006283 (July 2012).; Allahham, A., Greenwood, D., Patsios, C. & Taylor, P. Adaptive receding horizon control for battery energy storage management with age-and-operation-dependent efficiency and degradation. Electric Power Systems Research 209, 107936. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622001663 (Aug. 2022).; Eskandarnia, E., Al-Ammal, H. M. & Ksantini, R. An embedded deep-clustering-based load profiling framework. Sustainable Cities and Society 78, 103618. issn: 22106707. https://linkinghub.elsevier.com/retrieve/pii/S2210670721008829 (Mar. 2022).; Yi Wang et al. Load profiling and its application to demand response: A review. Tsinghua Science and Technology 20, 117–129. issn: 1007-0214. http://ieeexplore.ieee.org/document/7085625/ (Apr. 2015).; Duarte, O. G., Rosero, J. A. & Pegalajar, M. d. C. Data Preparation and Visualization of Electricity Consumption for Load Profiling. Energies 15, 7557. issn: 1996-1073. https://www.mdpi.com/1996-1073/15/20/7557 (Oct. 2022).; Xiao, W. & Hu, J. A Survey of Parallel Clustering Algorithms Based on Spark. Scientific Programming 2020, 1–12. issn: 1058-9244. https://www.hindawi.com/journals/sp/2020/8884926/ (Sept. 2020).; Weber, C., Ray, D., Valverde, A., Clark, J. & Sharma, K. Gaussian mixture model clustering algorithms for the analysis of high-precision mass measurements. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1027, 166299. issn: 01689002. https://linkinghub.elsevier.com/retrieve/pii/S0168900221011190 (Mar. 2022).; Jiao, L., Denoeux, T., Liu, Z.-g. & Pan, Q. EGMM: An evidential version of the Gaussian mixture model for clustering. Applied Soft Computing 129, 109619. issn: 15684946. https://linkinghub.elsevier.com/retrieve/pii/S1568494622006688 (Nov. 2022).; Wills, A. G., Hendriks, J., Renton, C. & Ninness, B. A Numerically Robust Bayesian Filtering Algorithm for Gaussian Mixture Models. IFAC-PapersOnLine 56, 67–72. issn: 24058963. https: //linkinghub.elsevier.com/retrieve/pii/S2405896323002008 (Jan. 2023).; Park, J., Park, K. V., Yoo, S., Choi, S. O. & Han, S. W. Development of the WEEE grouping system in South Korea using the hierarchical and non-hierarchical clustering algorithms. Resources, Conservation and Recycling 161, 104884. issn: 09213449. https://linkinghub.elsevier.com/retrieve/pii/S0921344920302020 (Oct. 2020).; Tso, W. W., Demirhan, C. D., Heuberger, C. F., Powell, J. B. & Pistikopoulos, E. N. A hierarchical clustering decomposition algorithm for optimizing renewable power systems with storage. Applied Energy 270, 115190. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261920307029 (July 2020).; Liang, K. et al. Characteristic analysis of 10 kV bus load based on integrated clustering technology. Energy Reports 8, 413–419. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/ S2352484722022296 (Nov. 2022).; Pang, Y., Zhou, X., Zhang, J., Sun, Q. & Zheng, J. Hierarchical electricity time series prediction with cluster analysis and sparse penalty. Pattern Recognition 126, 108555. issn: 00313203. https://linkinghub.elsevier.com/retrieve/pii/S003132032200036X (June 2022).; Bustos-Brinez, O. A., Duarte, J. E., Zambrano-Pinto, A., González, F. A. & Rosero-Garcia, J. A Method for the Characterization of the Energy Demand Aggregate Based on Electricity Data Provided by AMI Systems and Metering in Substations. Energies 17, 87. issn: 1996-1073. https://www.mdpi.com/1996-1073/17/1/87 (Dec. 2023).; Atif, M. et al. Monitoring Changes in Clustering Solutions: A Review of Models and Applications. Journal of Probability and Statistics 2023 (ed Ahsan, M.) 1–15. issn: 1687-9538. https://www.hindawi.com/journals/jps/2023/7493623/ (Nov. 2023).; Cook, E. et al. Density-based clustering algorithm for associating transformers with smart meters via GPS-AMI data. International Journal of Electrical Power & Energy Systems 142, 108291. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061522003118 (Nov. 2022).; Amjad, F., Agyekum, E. B., Shah, L. A. & Abbas, A. Site location and allocation decision for onshore wind farms, using spatial multi-criteria analysis and density-based clustering. A techno-economicenvironmental assessment, Ghana. Sustainable Energy Technologies and Assessments 47, 101503. issn: 22131388. https://linkinghub.elsevier.com/retrieve/pii/S2213138821005142 (Oct. 2021).; Chen, Y., Huang, M. & Tao, Y. Density-based clustering multiple linear regression model of energy consumption for electric vehicles. Sustainable Energy Technologies and Assessments 53, 102614. issn: 22131388. https://linkinghub.elsevier.com/retrieve/pii/S2213138822006646 (Oct. 2022).; Nikseresht, A. & Amindavar, H. Energy demand forecasting using adaptive ARFIMA based on a novel dynamic structural break detection framework. Applied Energy 353, 122069. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261923014332 (Jan. 2024).; Lizhen, W., Yifan, Z., Gang, W. & Xiaohong, H. A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model. Electric Power Systems Research 211, 108226. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622004345 (Oct. 2022).; Chang, C.-H., Chen, Z.-B. & Huang, S.-F. Forecasting of high-resolution electricity consumption with stochastic climatic covariates via a functional time series approach. Applied Energy 309, 118418. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261921016500 (Mar. 2022).; Munkhammar, J., van der Meer, D. & Widén, J. Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model. Applied Energy 282, 116180. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261920315816 (Jan. 2021).; Luo, J., Hong, T., Gao, Z. & Fang, S.-C. A robust support vector regression model for electric load forecasting. International Journal of Forecasting 39, 1005–1020. issn: 01692070. https:// linkinghub.elsevier.com/retrieve/pii/S0169207022000528 (Apr. 2023).; Bashiri Behmiri, N., Fezzi, C. & Ravazzolo, F. Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks. Energy 278, 127831. issn: 03605442. https://linkinghub.elsevier.com/retrieve/pii/S0360544223012252 (Sept. 2023).; Emami Javanmard, M. & Ghaderi, S. Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms. Sustainable Cities and Society 95, 104623. issn: 22106707. https://linkinghub.elsevier.com/retrieve/pii/S2210670723002342 (Aug. 2023).; Wang, J., Wang, K., Li, Z., Lu, H. & Jiang, H. Short-term power load forecasting system based on rough set, information granule and multi-objective optimization. Applied Soft Computing 146, 110692. issn: 15684946. https://linkinghub.elsevier.com/retrieve/pii/S156849462300710X (Oct. 2023).; Zulfiqar, M., Kamran, M., Rasheed, M., Alquthami, T. & Milyani, A. A hybrid framework for short term load forecasting with a navel feature engineering and adaptive grasshopper optimization in smart grid. Applied Energy 338, 120829. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261923001939 (May 2023).; Li, S. et al. Short-term electrical load forecasting using hybrid model of manta ray foraging optimization and support vector regression. Journal of Cleaner Production 388, 135856. issn: 09596526. https://linkinghub.elsevier.com/retrieve/pii/S0959652623000148 (Feb. 2023).; Lu, C., Liang, J., Jiang, W., Teng, J. & Wu, C. High-resolution probabilistic load forecasting: A learning ensemble approach. Journal of the Franklin Institute 360, 4272–4296. issn: 00160032. https://linkinghub.elsevier.com/retrieve/pii/S0016003223000911 (Apr. 2023).; Gilbert, C., Browell, J. & Stephen, B. Probabilistic load forecasting for the low voltage network: Forecast fusion and daily peaks. Sustainable Energy, Grids and Networks 34, 100998. issn: 23524677. https://linkinghub.elsevier.com/retrieve/pii/S2352467723000061 (June 2023).; Qiu, Y., He, Z., Zhang, W., Yin, X. & Ni, C. MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting. Expert Systems with Applications 238, 121737. issn: 09574174. https://linkinghub.elsevier.com/retrieve/pii/S095741742302239X (Mar. 2024).; Wang, H. et al. Comprehensive review of load forecasting with emphasis on intelligent computing approaches. Energy Reports 8, 13189–13198. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722019540 (Nov. 2022).; Mahdi Noori R.A., S., Scott, P., Mahmoodi, M. & Attarha, A. Data-driven adjustable robust solution to voltage-regulation problem in PV-rich distribution systems. International Journal of Electrical Power & Energy Systems 141, 108118. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061522001600 (Oct. 2022).; Chen, C., Shen, X., Guo, Q. & Sun, H. Robust planning-operation co-optimization of energy hub considering precise model of batteries’ economic efficiency. Energy Procedia 158, 6496–6501. issn: 18766102. https://linkinghub.elsevier.com/retrieve/pii/S1876610219301213 (Feb. 2019).; Mahmood, D., Javaid, N., Ahmed, G., Khan, S. & Monteiro, V. A review on optimization strategies integrating renewable energy sources focusing uncertainty factor – Paving path to eco-friendly smart cities. Sustainable Computing: Informatics and Systems 30, 100559. issn: 22105379. https : / /linkinghub.elsevier.com/retrieve/pii/S2210537921000500 (June 2021).; Liao, X. et al. Extended affine arithmetic-based global sensitivity analysis for power flow with uncertainties. International Journal of Electrical Power & Energy Systems 115, 105440. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S0142061519306775 (Feb. 2020).; Yu, X., Dong, X., Pang, S., Zhou, L. & Zang, H. Energy Storage Sizing Optimization and Sensitivity Analysis Based on Wind Power Forecast Error Compensation. Energies 12, 4755. issn: 1996-1073. https://www.mdpi.com/1996-1073/12/24/4755 (Dec. 2019).; Yi, Y. & Verbič, G. Fair operating envelopes under uncertainty using chance constrained optimal power flow. Electric Power Systems Research 213, 108465. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779622005995 (Dec. 2022).; Engels, J., Claessens, B. & Deconinck, G. Combined Stochastic Optimization of Frequency Control and Self-Consumption With a Battery. IEEE Transactions on Smart Grid 10, 1971–1981. issn: 1949-3053. https://ieeexplore.ieee.org/document/8226863/ (Mar. 2019).; Wang, Y., Rousis, A. O., Qiu, D. & Strbac, G. A stochastic distributed control approach for load restoration of networked microgrids with mobile energy storage systems. International Journal of Electrical Power & Energy Systems 148, 108999. issn: 01420615. https://linkinghub.elsevier.com/retrieve/pii/S014206152300056X (June 2023).; Vahid-Ghavidel, M. et al. Hybrid IGDT-stochastic self-scheduling of a distributed energy resources aggregator in a multi-energy system. Energy 265, 126289. issn: 03605442. https://linkinghub.elsevier.com/retrieve/pii/S0360544222031759 (Feb. 2023).; Moradi, S., Zizzo, G., Favuzza, S. & Massaro, F. A stochastic approach for self-healing capability evaluation in active islanded AC/DC hybrid microgrids. Sustainable Energy, Grids and Networks 33, 100982. issn: 23524677. https://linkinghub.elsevier.com/retrieve/pii/S2352467722002272 (Mar. 2023).; Singh, V., Moger, T. & Jena, D. Uncertainty handling techniques in power systems: A critical review. Electric Power Systems Research 203, 107633. issn: 03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779621006143 (Feb. 2022).; Kim, H.-Y., Kim, M.-K. & Kim, S. Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source ConverterMulti-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems. Energies 10, 986. issn: 1996-1073. http://www.mdpi.com/1996-1073/10/7/986 (July 2017).; Korjani, S., Mureddu, M., Facchini, A. & Damiano, A. Aging Cost Optimization for Planning and Management of Energy Storage Systems. Energies 10, 1916. issn: 1996-1073. http://www.mdpi.com/1996-1073/10/11/1916 (Nov. 2017).; Xu, B., Oudalov, A., Ulbig, A., Andersson, G. & Kirschen, D. S. Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment. IEEE Transactions on Smart Grid 9, 1131–1140. issn: 1949-3053. http://ieeexplore.ieee.org/document/7488267/ (Mar. 2018).; Radosavljević, J., Ktena, A., Gajić, M., Milovanović, M. & Živić, J. Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS. Energies 16, 4356. issn: 1996-1073. https://www.mdpi.com/1996-1073/16/11/4356 (May 2023).; Montoya, O. D., Gil-González, W., Serra, F. M., Hernández, J. C. & Molina-Cabrera, A. A Second-Order Cone Programming Reformulation of the Economic Dispatch Problem of BESS for Apparent Power Compensation in AC Distribution Networks. Electronics 9, 1677. issn: 2079-9292. https://www.mdpi.com/2079-9292/9/10/1677 (Oct. 2020).; Mansuwan, K., Jirapong, P. & Thararak, P. Optimal battery energy storage planning and control strategy for grid modernization using improved genetic algorithm. Energy Reports 9, 236–241. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484723012532 (Oct. 2023).; Boyd, S. & Vandenberghe, L. Convex Optimization isbn: 978-0521833783 (Cambridge University Press, 2004).; Chankong, S., Phaochoo, P., Charongrattanasakul, P. & Thongpool, N. A class of derivative free three-term descent Hestenes-Stiefel conjugate gradient algorithms for constrained nonlinear problems. Results in Control and Optimization, 100372. issn: 26667207. https://linkinghub.elsevier.com/retrieve/pii/S266672072400002X (Jan. 2024).; Yousif, O. O., Mohammed, M. A., Saleh, M. A. & Elbashir, M. K. A criterion for the global convergence of conjugate gradient methods under strong Wolfe line search. Journal of King Saud University - Science 34, 102281. issn: 10183647. https://linkinghub.elsevier.com/retrieve/pii/S1018364722004621 (Nov. 2022).; Abubakar, A. B. et al. A Liu-Storey-type conjugate gradient method for unconstrained minimization problem with application in motion control. Journal of King Saud University - Science 34, 101923. issn: 10183647. https://linkinghub.elsevier.com/retrieve/pii/S1018364722001045 (June 2022).; Yi, X. et al. Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent. Results in Physics 56, 107204. issn: 22113797. https://linkinghub.elsevier.com/ retrieve/pii/S221137972300997X (Jan. 2024).; Qu, Z. et al. Two-step proximal gradient descent algorithm for photoacoustic signal unmixing. Photoacoustics 27, 100379. issn: 22135979. https://linkinghub.elsevier.com/retrieve/pii/ S2213597922000441 (Sept. 2022).; Namsak, S., Petrot, N. & Nimana, N. A distributed proximal gradient method with time-varying delays for solving additive convex optimizations. Results in Applied Mathematics 18, 100370. issn: 25900374. https://linkinghub.elsevier.com/retrieve/pii/S259003742300016X (May 2023).; Wang, Y. et al. Estimated position correction algorithm of surface-mounted permanent-magnet synchronous motor based on variable gain steepest gradient descent method. Energy Reports 9, 1154–1162. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484723009289 (Oct. 2023).; Dvurechensky, P., Shtern, S. & Staudigl, M. First-Order Methods for Convex Optimization. EURO Journal on Computational Optimization 9, 100015. issn: 21924406. https://linkinghub.elsevier.com/retrieve/pii/S2192440621001428 (Jan. 2021).; Fiacco, A. V., McCormick, G. P. & Danskin, J. M. The Sequential Unconstrained Minimization Technique (SUMT) without Parameters. Operations Research 15, 820–829. issn: 0030364X, 15265463. http://www.jstor.org/stable/168637 (1967).; Kennedy, J. in Encyclopedia of Machine Learning 760–766 (Springer US, Boston, MA, 2011). https://link.springer.com/10.1007/978-0-387-30164-8_630.; Chen, B., Zhang, R., Chen, L. & Long, S. Adaptive Particle Swarm Optimization with Gaussian Perturbation and Mutation. Scientific Programming 2021 (ed Li, W.) 1–14. issn: 1875-919X. https://www.hindawi.com/journals/sp/2021/6676449/ (Feb. 2021).; Bangyal, W. H., Hameed, A., Alosaimi, W. & Alyami, H. A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems. Computational Intelligence and Neuroscience 2021 (ed Dourado, A.) 1–17. issn: 1687-5273. https://www.hindawi.com/journals/cin/2021/6628889/ (May 2021).; Wang, S., Liu, Y., Zou, K., Li, N. & Wu, Y. Multiobjective Particle Swarm Optimization Based on Ideal Distance. Discrete Dynamics in Nature and Society 2022 (ed Do, T. V.) 1–16. issn: 1607-887X. https://www.hindawi.com/journals/ddns/2022/3515566/ (Apr. 2022).; Goldberg, D. E. Genetic Algorithms in Search, Optimization and Machine Learning 1st. isbn: 978-0201157673 (Addison-Wesley Longman Publishing Co., Inc., USA, 1989).; Chen, Q. & Hu, X. Design of intelligent control system for agricultural greenhouses based on adaptive improved genetic algorithm for multi-energy supply system. Energy Reports 8, 12126–12138. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722017413 (Nov. 2022).; Kirchner-Bossi, N. & Porté-Agel, F. Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm. Renewable Energy 220, 119524. issn: 09601481. https://linkinghub.elsevier.com/retrieve/pii/S0960148123014398 (Jan. 2024).; Manna, A., Roy, A., Maity, S., Mondal, S. & Nielsen, I. E. A multi-parent genetic algorithm for solving longitude–latitude-based 4D traveling salesman problems under uncertainty. Decision Analytics Journal 8, 100287. issn: 27726622. https://linkinghub.elsevier.com/retrieve/pii/S2772662223001273 (Sept. 2023).; Deb, K. & Jain, H. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. IEEE Transactions on Evolutionary Computation 18, 577–601. issn: 1089-778X. http://ieeexplore.ieee.org/document/6600851/ (Aug. 2014).; Wu, P., Zou, D., Yu, N., Zhang, G. & Kong, L. An improved NSGA-III for the dynamic economic emission dispatch considering reliability. Energy Reports 8, 14304–14317. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722022740 (Nov. 2022).; Zhou, W. et al. An intelligent optimization method for the HCSB blanket based on an improved multi-objective NSGA-III algorithm and an adaptive BP neural network. Nuclear Engineering and Technology 55, 3150–3163. issn: 17385733. https://linkinghub.elsevier.com/retrieve/pii/S1738573323002504 (Sept. 2023).; Mirjalili, S., Mirjalili, S. M. & Lewis, A. Grey Wolf Optimizer. Advances in Engineering Software 69, 46–61. issn: 09659978. https://linkinghub.elsevier.com/retrieve/pii/S0965997813001853 (Mar. 2014).; Pawan & Dhiman, R. Motor imagery signal classification using Wavelet packet decomposition and modified binary grey wolf optimization. Measurement: Sensors 24. issn: 26659174 (Dec. 2022).; Chandran, V. & Mohapatra, P. Enhanced opposition-based grey wolf optimizer for global optimization and engineering design problems. Alexandria Engineering Journal 76, 429–467. issn: 11100168. https://linkinghub.elsevier.com/retrieve/pii/S1110016823005173 (Aug. 2023).; Abdulhasan Salim, J., Albaker, B. M., Shyaa Alwan, M. & Hasanuzzaman, M. Hybrid MPPT approach using Cuckoo Search and Grey Wolf Optimizer for PV systems under variant operating conditions. Global Energy Interconnection 5, 627–644. issn: 20965117. https://linkinghub.elsevier.com/retrieve/pii/S2096511722001141 (Dec. 2022).; Soliman, M. A., Hasanien, H. M., Turky, R. A. & Muyeen, S. Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models. Energy Reports 8, 14888–14900. issn: 23524847. https://linkinghub.elsevier.com/retrieve/pii/S2352484722023368 (Nov. 2022).; Hoballah, A. & Azmy, A. M. Constrained economic dispatch following generation outage for hot spinning reserve allocation using hybrid grey wolf optimizer. Alexandria Engineering Journal 62, 169–180. issn: 11100168. https://linkinghub.elsevier.com/retrieve/pii/S1110016822004902 (Jan. 2023).; Mirjalili, S. & Lewis, A. The Whale Optimization Algorithm. Advances in Engineering Software 95, 51–67. issn: 09659978. https://linkinghub.elsevier.com/retrieve/pii/S0965997816300163 (May 2016).; Mostafa Bozorgi, S. & Yazdani, S. IWOA: An improved whale optimization algorithm for optimization problems. Journal of Computational Design and Engineering 6, 243–259. issn: 2288-5048. https://academic.oup.com/jcde/article/6/3/243/5732340 (July 2019).; Syama, S., Ramprabhakar, J., Anand, R. & Guerrero, J. M. A hybrid Extreme Learning Machine model with Lévy flight Chaotic Whale Optimization Algorithm for Wind Speed Forecasting. Results in Engineering 19, 101274. issn: 25901230. https://linkinghub.elsevier.com/retrieve/pii/S2590123023004012 (Sept. 2023).; Heidari, A. A. et al. Harris hawks optimization: Algorithm and applications. Future Generation Computer Systems 97, 849–872. issn: 0167739X. https://linkinghub.elsevier.com/retrieve/ pii/S0167739X18313530 (Aug. 2019).; Yang, X.-S. Nature-inspired metaheuristic algorithms: Second edition 2nd ed. isbn: 1905986289 (Luniver Press, Frome, England, 2010).; Ayinla, S. L. et al. Optimal Control of DC Motor using Leader-based Harris Hawks Optimization Algorithm. Franklin Open, 100058. issn: 27731863. https://linkinghub.elsevier.com/retrieve/ pii/S277318632300052X (Nov. 2023).; Hussien, A. G. et al. Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications. Electronics 11, 1919. issn: 2079-9292. https://www.mdpi.com/2079-9292/11/12/1919 (June 2022).; Low, S. H. Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence. IEEE Transactions on Control of Network Systems 1, 15–27. issn: 2325-5870. http://ieeexplore.ieee. org/document/6756976/ (Mar. 2014).; Montoya, O. D., Garces, A. & Gil-González, W. Three-Phase Power Flow Tool for Electric Distribution Grids: A Julia Implementation for Electrical Engineering Students. Ingeniería 28. https://doi.org/10.14483/23448393.21419 (2023).; Baran, M. & Wu, F. Optimal capacitor placement on radial distribution systems. IEEE Transactions on Power Delivery 4, 725–734. issn: 08858977. http://ieeexplore.ieee.org/document/19265/ (Dec. 1989).; Zohrizadeh, F. et al. A survey on conic relaxations of optimal power flow problem. European Journal of Operational Research 287, 391–409. issn: 03772217. https://linkinghub.elsevier.com/retrieve/pii/S0377221720300552 (Dec. 2020).; Bose, S., Low, S. H., Teeraratkul, T. & Hassibi, B. Equivalent Relaxations of Optimal Power Flow. IEEE Transactions on Automatic Control 60, 729–742. issn: 0018-9286. http://ieeexplore.ieee.org/document/6897933/ (Mar. 2015).; Sagnol, G. A class of semidefinite programs with rank-one solutions. Linear Algebra and its Applications 435, 1446–1463. issn: 00243795. https://linkinghub.elsevier.com/retrieve/pii/ S0024379511002515 (Sept. 2011).; Jabr, R. Radial Distribution Load Flow Using Conic Programming. IEEE Transactions on Power Systems 21, 1458–1459. issn: 0885-8950. http://ieeexplore.ieee.org/document/1664986/ (Aug. 2006).; Montoya, O. D., Gil-González, W. & Grisales-Noreña, L. An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach. Ain Shams Engineering Journal 11, 409–418. issn: 20904479. https://linkinghub.elsevier.com/retrieve/pii/S2090447919301200 (June 2020).; Khodr, H., Olsina, F., Jesus, P. D. O.-D. & Yusta, J. Maximum savings approach for location and sizing of capacitors in distribution systems. Electric Power Systems Research 78, 1192–1203. issn:03787796. https://linkinghub.elsevier.com/retrieve/pii/S0378779607002143 (July 2008).; Diamond, S. & Boyd, S. CVXPY: A Python-Embedded Modeling Language for Convex Optimization tech. rep. (2016), 1–5. http://www.cvxpy.org/.; Gurobi Optimization, L. Gurobi Optimizer Reference Manual 2024. https://www.gurobi.com.; Postek, K., Zocca, A., Gromicho, J. & Kantor, J. Hands-On Mathematical Optimization with AMPL in Python https://ampl.com/mo-book (Online, 2024).; MOSEK ApS. MOSEK Optimizer API for Python manual. Version 10.1 2024. https://docs.mosek.com/latest/pythonapi/index.html.; Wächter, A. & Biegler, L. T. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Mathematical Programming 106, 25–57. issn: 0025-5610. http://link.springer.com/10.1007/s10107-004-0559-y (Mar. 2006).; Achterberg, T., Berthold, T., Koch, T. & Wolter, K. in Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems 6–20 (Springer Berlin Heidelberg, Berlin, Heidelberg). http://link.springer.com/10.1007/978-3-540-68155-7_4.; Bonami, P. et al. An Algorithmic Framework for Convex Mixed Integer Nonlinear Programs tech. rep. (IBM Research Division, Nov. 2005). http://egon.cheme.cmu.edu/ibm/files/IBMReseReprc23771. pdf.; Zimmerman, R. D., Murillo-Sanchez, C. E. & Thomas, R. J. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education. IEEE Transactions on Power Systems 26, 12–19. issn: 0885-8950. http://ieeexplore.ieee.org/document/5491276/ (Feb. 2011).; The MathWorks Inc. MATLAB Natick, Massachusetts, 2023. https://www.mathworks.com.; Mirjalili, S. Grey Wolf Optimizer (GWO) 2024. https://www.mathworks.com/matlabcentral/fileexchange/44974-grey-wolf-optimizer-gwo.; Mirjalili, S. The Whale Optimization Algorithm 2024. https://www.mathworks.com/matlabcentral/fileexchange/55667-the-whale-optimization-algorithm.; Wali, S. B. et al. Battery storage systems integrated renewable energy sources: A biblio metric analysis towards future directions. Journal of Energy Storage 35, 102296. issn: 2352152X. https://linkinghub.elsevier.com/retrieve/pii/S2352152X21000608 (Mar. 2021).; Fischer, D., Chen, X., Handschuch, I., Zhang, D. & Zhang, H. Enhancing China’s ETS for Carbon Neutrality: Focus on Power Sector Co-ordinating climate and renewable energy policy tech. rep. (Institute of Energy, Environment and Economy, 2022). www.iea.org/t&c/.; Duman, A. C., Erden, H. S., Gönül, Ö. & Güler, Ö. Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self-consumption. Energy and Buildings 267, 112164. issn: 03787788. https://linkinghub.elsevier.com/retrieve/pii/S0378778822003358 (July 2022).; Wagner, L. P., Reinpold, L. M., Kilthau, M. & Fay, A. A systematic review of modeling approaches for flexible energy resources. Renewable and Sustainable Energy Reviews 184, 113541. issn: 13640321. https://linkinghub.elsevier.com/retrieve/pii/S1364032123003982 (Sept. 2023).; Toledo-Cortés, S., Lara, J. S., Zambrano, A., González Osorio, F. A. & Rosero Garcia, J. Characterization of electricity demand based on energy consumption data from Colombia. International Journal of Electrical and Computer Engineering (IJECE) 13, 4798. issn: 2722-2578. https://ijece.iaescore.com/index.php/IJECE/article/view/30681 (Oct. 2023).; Climate-Data.org. Climate Data: Colombia https://en.climate- data.org/south- america/colombia-133/.; Taskesen, E. Distfit is a python library for probability density fitting. Jan. 2020. https://erdogant.github.io/distfit.; Nadeem, T. B., Siddiqui, M., Khalid, M. & Asif, M. Distributed energy systems: A review of classification, technologies, applications, and policies. Energy Strategy Reviews 48, 101096. issn: 2211467X. https://linkinghub.elsevier.com/retrieve/pii/S2211467X23000469 (July 2023).; Singh, P., Meena, N. K., Yang, J., Vega-Fuentes, E. & Bishnoi, S. K. Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks. Applied Energy 278, 115723. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261920312149 (Nov. 2020).; Suresh, M. & Shatheesh Sam, I. Optimized interesting region identification for video steganography using Fractional Grey Wolf Optimization along with multi-objective cost function. Journal of King Saud University - Computer and Information Sciences 34, 3489–3496. issn: 13191578. https://linkinghub.elsevier.com/retrieve/pii/S1319157820304456 (June 2022).; Su, Y., Li, Y. & Xuan, S. Prediction of complex public opinion evolution based on improved multiobjective grey wolf optimizer. Egyptian Informatics Journal 24, 149–160. issn: 11108665. https://linkinghub.elsevier.com/retrieve/pii/S1110866523000117 (July 2023).; Vinod Kumar, T. & Kumar Injeti, S. Probabilistic optimal planning of dispatchable distributed generator units in distribution systems using a multi-objective velocity-based butterfly optimization algorithm. Renewable Energy Focus 43, 191–209. issn: 17550084. https://linkinghub.elsevier.com/retrieve/pii/S1755008422000813 (Dec. 2022).; Li, T., Han, X., Wu, W. & Sun, H. Robust expansion planning and hardening strategy of meshed multi-energy distribution networks for resilience enhancement. Applied Energy 341, 121066. issn: 03062619. https://linkinghub.elsevier.com/retrieve/pii/S0306261923004300 (July 2023).; Bai, C. et al. Weighted matrix based distributed optimization method for economic dispatch of microgrids via multi-step gradient descent. Energy Reports 8, 177–187. issn: 23524847. https ://linkinghub.elsevier.com/retrieve/pii/S2352484722020248 (Nov. 2022).; https://repositorio.unal.edu.co/handle/unal/87540; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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Contributions to the Resilience Management in the Internet of Things

Authors: Huang, Yuanjiang

Thesis Advisors: Martínez Ortega, José Fernán, Sendra Pons, Juana

Subject Terms: Telecomunicaciones

Access URL: http://hdl.handle.net/10803/453312

Uso de la inteligencia artificial en la gestión de proyectos.

Alternate Title: Use of Artificial Intelligence in Project Management. (English)

Authors: Hernández, Héctor Andrés Taquez Hoyos, Laura Vanessa Cortez Mosquera, Diana Carolina

Source: RHS: Revista Humanismo y Sociedad; jul2025, Vol. 13 Issue 2, pe4/1-e4/20, 20p

Low-Code and No-Code Development in the Era of Artificial Intelligence: A Systematic Review.

Alternate Title: Desarrollo Low-Code y No-Code en la Era de la Inteligencia Artificial: Una Revisión Sistemática. (Spanish)

Authors: Liwanag, Gabriel Luis L. Ebardo, Ryan A. Cheng, Danny C.

Source: Data & Metadata; 2025, Vol. 4, p1-12, 12p

Comunicación, diseño y IoT: Perspectivas para la interfaz gráfica con diseño de voz. (Spanish)

Authors: Pereira, Everaldo Scabello Mello, Ana Paula Rosante Beo, Flávia Janine et al.

Source: Cuadernos del Centro de Estudios de Diseño y Comunicación; 2024/2025, Vol. 27 Issue 224, p237-253, 17p

Subject Terms: SYMBOLIC interactionism, DESIGN science, DESIGN thinking, INTERNET of things, PROBLEM solving

Problemática antropológica detrás de la discriminación generada a partir de los algoritmos de la inteligencia artificial. (Spanish)

Alternate Title: Anthropological problem behind the discrimination generated from artificial intelligence algorithms. (English)

Authors: Morales Ramírez, Gabriela

Source: Medicina y Ética; abr-jun2023, Vol. 34 Issue 2, p429-480, 52p

Integration of Artificial Intelligence and Robotics into the industrial sector.

Alternate Title: Integración de Inteligencia Artificial y Robótica en el sector industrial. (Spanish)

Authors: Abdullayev, Vugar Faizal, Ajesh Seyidova, Irada et al.

Source: Data & Metadata; 2025, Vol. 4, p1-15, 15p

Analyzing the Effect of Deceiving Agents in a System of Self-Driving Cars at an intersection - a computational model

Authors: Morales Chavarro, Javier Mauricio Niño Vásquez, Luis Fernando Colman, Ewan et al.

Contributors: Morales Chavarro, Javier Mauricio Niño Vásquez, Luis Fernando Colman, Ewan et al.

Subject Terms: 000 - Ciencias de la computación, información y obras generales::003 - Sistemas, Autonomous vehicles, Internet of vehicles (IoV), deceiving agents, Traffic model, Autonomous intersection, Vehículos autónomos, Internet de los vehículos, Agentes engañosos, Modelo de tráfico, Intersección autónoma, Inteligencia artificial, Artificial intelligence, Programación informática, Computer programming, Automatización, Automation

File Description: 1 recurso en línea (47 páginas); application/pdf

Relation: Al-qutwani, M. and Wang, X. (2019). Smart traffic lights over vehicular named data networking. Information (Switzerland), 10(3). Aoki, S. and Rajkumar, R. (2019). V2V-based synchronous intersection protocols for mixed traffic of human-driven and self-driving vehicles. In Proceedings - 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019, Electrical and Computer Engineering, Carnegie Mellon University, United States. Ashtiani, F., Fayazi, S. A., and Vahidi, A. (2018). Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming. In Proceedings of the American Control Conference, volume 2018-June, pages 6341-6346, Clemson University, Department of Mechanical Engineering, Clemson, SC29634-0921, United States. IEEE. Azimi, R., Bhatia, G., Rajkumar, R., and Mudalige, P. (2012). Intersection management using vehicular networks. SAE Technical Papers. Azimi, R., Bhatia, G., Rajkumar, R., and Mudalige, P. (2013a). V2Vintersection management at roundabouts. SAE International Journal of Passenger Cars - Mechanical Systems, 6(2):2013-01-0722. Azimi, R., Bhatia, G., Rajkumar, R. R., and Mudalige, P. (2014). STIP: Spatio-temporal intersection protocols for autonomous vehicles. In 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pages 1-12, Carnegie Mellon University, United States. IEEE. Azimi, S. R., Bhatia, G., Rajkumar, R., and Mudalige, P. (2013b). Reliable intersection protocols using vehicular networks. In Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013, pages 1-10, Carnegie Mellon Universtiy, General Motors Company, United States. ACM Press. Azimi, S. R., Bhatia, G., Rajkumar, R. R. R., and Mudalige, P. (2011). Vehicular Networks for Collision Avoidance at Intersections. SAE International Journal of Passenger Cars - Mechanical Systems, 4(1):406-416. Bentjen, K., Graham, S., and Nykl, S. (2018). Modelling misbehaviour in automated vehicle intersections in a synthetic environment. In Proceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018, volume 2018-March, pages 584-593, Air Force Institute of Technology, Dayton, United States. Bento, L. C., Parafita, R., and Nunes, U. (2012). Intelligent traffic management at intersections supported by V2V and V2I communications. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pages 1495-1502. IEEE. Bifulco, G. N., Caiazzo, B., Coppola, A., and Santini, S. (2019). Intersection crossing in mixed traffic flow environment leveraging V2X information. In 2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings, Architectural and Environmental Engineering (DICEA), University of Naples Federico II, Department of Civil, Naples, 80125, Italy. Buckman, N., Pierson, A., Schwarting, W., Karaman, S., and Rus,D. (2019). Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation. In IEEE International Conference on Intelligent Robots and Systems, pages 6136-6143, Massachusetts Institute of Technology, CSAIL, Cambridge, MA, United States. Buzachis, A., Celesti, A., Galletta, A., Fazio, M., and Villari, M. (2018). A secure and dependable multi-Agent autonomous intersection management (MAAIM) system leveraging blockchain facilities. In Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing Companion, UCC Companion 2018, pages 189-194, Department of Mathematics and Computer Science, Physics and Earth Sciences, University of Messina, Viale F. Stagno D'Alcontres 31, Messina, 98166, Italy. Chen, L. and Englund, C. (2016). Cooperative Intersection Management: A Survey. IEEE Transactions on Intelligent Transportation Systems, 17(2):570- 586. Dresner, K. and Stone, P. (2008). A multiagent approach to autonomous intersection management. Journal of Artificial Intelligence Research, 31:591- 656. Faggella, D. (2020). The Self-Driving Car Timeline - Predictions from the Top 11 Global Automakers. Fontes, R. D. R., Campolo, C., Rothenberg, C. E., and Molinaro, A. (2017). From Theory to Experimental Evaluation: Resource Management in Software- Defined Vehicular Networks. IEEE ACCESS, 5:3069-3076. Gao, Q., Fu, C., Wang, J., Liu, Y.-H., and Deng, W.-W. (2013). Vehicle active scheduling model at intersection. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 43(6):1638-1643. González, C. L., Zapotecatl, J. L., Gershenson, C., Alberola, J. M., and Julian, V. (2019). A robustness approach to the distributed management of traffic intersections. Journal of Ambient Intelligence and Humanized Computing. Jiménez, F., Naranjo, J. E., Anaya, J. J., García, F., Ponz, A., and Armingol, J. M. (2016). Advanced Driver Assistance System for Road Environments to Improve Safety and Efficiency. In Transportation Research Procedia, volume 14, pages 2245-2254. Khoury, J., Khoury, J., Zouein, G., and Arnaout, J.-P. (2019). A practical decentralized access protocol for autonomous vehicles at isolated under-saturated intersections. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 23(5):427-440. Khoury, J. J. and Khoury, J. J. (2014). Passive, decentralized, and fully autonomous intersection access control. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, pages 3028-3033, Faculty of Civil Engineering, Lebanese American University, Byblos, Lebanon. IEEE. Kiela, K., Barzdenas, V., Jurgo, M., Macaitis, V., Rafanavicius, J., Vasjanov, A., Kladovscikov, L., and Navickas, R. (2020). Review of V2X-IoT standards and frameworks for ITS applications. Applied Sciences (Switzerland), 10(12). Kim, K.-D. (2013). Collision free autonomous ground traffic: A model predictive control approach. In Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013, pages 51-60. Kim, K.-D. and Kumar, P. R. (2015). An MPC-based approach to provable system-wide safety and liveness of autonomous ground traffic. IEEE Transactions on Automatic Control, 59(12):3341-3356. Kneissl, M., Molin, A., Esen, H., and Hirche, S. (2018). A Feasible MPC-Based Negotiation Algorithm for Automated Intersection Crossing . In 2018 European Control Conference, ECC 2018, pages 1282-1288, Corporate R and D Department, DENSO Automotive Deutschland GmbH, Freisinger Str., 21-23, Eching, 85386, Germany. Li, H. and Tiwari, R. (2018). Safe and reliable spatiooral model for roundabouts and road intersections using vehicular communication system. In Proceedings of 2018 16th International Conference on Intelligent Transport System Telecommunications, ITST 2018, School of Engineering, Newcastle University, Newcastle-upon-Tyne, United Kingdom. Li, H., Zhang, J., Zheng, F., Li, L., and Ran, B. (2018). Autonomous and Connected Vehicles: The Capacity of Mixed Traffic Flow at Signalized Intersection with the ACDA-MTD Model. In CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals, pages 34-45, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ., Si Pai Lou #2, Nanjing, 210096, China. Li, Z. R., Chitturi, M. V., Yu, L., Bill, A. R., and Noyce, D. A. (2015). Sustainability effects of next-generation intersection control for autonomous vehicles. Transport, 30(3):342-352. Lima, A., Rocha, F., Völp, M., and Esteves-Verissimo, P. (2016). Towards safe and secure autonomous and cooperative vehicle ecosystems. In CPS-SPC 2016 - Proceedings of the 2nd ACM Workshop on Cyber-Physical Systems Security and PrivaCy, co-located with CCS 2016, pages 59-70. Lopez, P. A., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flotterod, Y. P., Hilbrich, R., Lucken, L., Rummel, J., Wagner, P., and Wiebner, E. (2018). Microscopic Traffic Simulation using SUMO. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018-Novem:2575-2582. Makarem, L. and Gillet, D. (2012). Information sharing among autonomous vehicles crossing an intersection. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 2563-2567. IEEE. Mendoza, M. G., Holloway, B., Hevia, A., Céspedes, S., and Bustos, J. (2017). Coordination of autonomous vehicles at intersections with decentralized V2V communication. In CEUR Workshop Proceedings, volume 1950, pages 38-41, NIC Chile Research Labs, Chile. Mirnig, A. G., Stadler, S., and Tscheligi, M. (2017). Handovers and resumption of control in semi-autonomous vehicles: What the automotive domain can learn from human-robot-interaction. In ACM/IEEE International Conference on Human-Robot Interaction, pages 207-208. Morales Chavarro, J. M., Colman, E., and Niño Vásquez, L. F. (2020). The Effect of Deceiving Vehicles in an Autonomous Intersection. In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pages 1-5. Namazi, E., Li, J., and Lu, C. (2019). Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review. IEEE Access, 7:91946-91965. National Research Council (U.S.). Transportation Research Board. (2010). HCM 2010 : highway capacity manual. Transportation Research Board. Park, S., You, S., Kim, B., and Lee, J. (2018). Group Mutual Exclusion Algorithm for Intersection Traffic Control of Autonomous Vehicle. In Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, pages 1633-1636, School of Electrical and Computer Engineering, Chungbuk National Unvi., South Korea. Pinyol, I. and Sabater-Mir, J. (2013). Computational trust and reputation models for open multi-agent systems: A review. Artificial Intelligence Review, 40(1):1-25. Rios-Torres, J. and Malikopoulos, A. A. (2017). A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps. IEEE Transactions on Intelligent Transportation Systems, 18(5):1066-1077. SAE International (2018). Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. SAE International, 4970(724):1-5. Saiáns-Vázquez, J. V., Ordóñez-Morales, E. F., López-Nores, M., Blanco-Fernández, Y., Bravo-Torres, J. F., Pazos-Arias, J. J., Gil-Solla, A., and Ramos-Cabrer, M. (2018). Intersection intelligence: Supporting urban platooning with virtual traffic lights over virtualized intersection-based routing. Sensors (Switzerland), 18(11). Savic, V., Schiller, E. M., and Papatriantafilou, M. (2017). Distributed algorithm for collision avoidance at road intersections in the presence of communication failures. In IEEE Intelligent Vehicles Symposium, Proceedings, pages 1005-1012, Dept. of Computer Science and Engineering, Chalmers University of Technology, Sweden. IEEE. Sawade, O. and Radusch, I. (2016). Survey and classification of cooperative automated driver assistance systems. In 2015 IEEE 82nd Vehicular Tech- nology Conference, VTC Fall 2015 - Proceedings. Tang, X., Li, M., Lin, X., and He, F. (2020). Online operations of automated electric taxi fleets: An advisor-student reinforcement learning framework. Transportation Research Part C: Emerging Technologies, 121(February):102844. Teoh, E. R. (2020). What's in a name? Drivers' perceptions of the use of five SAE Level 2 driving automation systems. Journal of Safety Research, 72:145-151. Vaio, M. D., Falcone, P., Hult, R., Petrillo, A., Salvi, A., and Santini, S. (2019). Design and Experimental Validation of a Distributed Interaction Protocol for Connected Autonomous Vehicles at a Road Intersection. IEEE Transactions on Vehicular Technology, 68(10):9451-9465. Wei, H., Mashayekhy, L., and Papineau, J. (2018). Intersection Management for Connected Autonomous Vehicles: A Game Theoretic Framework. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, volume 2018-Novem, pages 583-588, Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, United States. Wooldridge, M. (2012). Computation and the prisoner's dilemma. IEEE Intelligent Systems, 27(2):75-80. Wu, T.-Y. T.-Y., Guizani, N., and Hsieh, C.-Y. C.-Y. (2016). An efficient adaptive intelligent routing system for multi-intersections. Wireless Communications and Mobile Computing, 16(17):3175-3186. Wu, W., Liu, Y., Xu, Y., Wei, Q., and Zhang, Y. (2017). Traffic Control Models Based on Cellular Automata for At-Grade Intersections in Autonomous Vehicle Environment. Journal of Sensors, 2017:1-6. Zheng, B., Sayin, M. O., Lin, C.-W., Shiraishi, S., and Zhu, Q. (2017). Timing and security analysis of VANET-based intelligent transportation systems: (Invited paper). In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, volume 2017-Novem, pages 984-991, University of California, Riverside, CA, United States.; https://repositorio.unal.edu.co/handle/unal/79380; Universidad Nacional de Colombia; Repositorio Institucional UN; https://repositorio.unal.edu.co/

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Relationship between attitudes (implicit and explicit), feelings and beliefs. A study on urban and rural areas in Spain (Relación entre actitudes (implícitas y explícitas), sentimientos y creencias. Un estudio sobre las zonas urbanas y rurales en España)

Authors: López, Rafael Gordillo, Fernando Martínez-Mascorro, Guillermo-Arturo et al.

Source: PsyEcology; Feb2023, Vol. 14 Issue 1, p42-80, 39p

Subject Terms: CITIES & towns, RURAL geography, PUBLIC opinion, IMPLICIT attitudes, ATTITUDE change (Psychology)

Geographic Terms: SPAIN

Avances en Iber para la clasificación de balsas: proyecto ACROPOLIS. (Spanish)

Alternate Title: Advancements in Iber for the classification of off-stream reservoirs: ACROPOLIS project. (English)

Authors: Sanz-Ramos, Marcos Bladé, Ernest Silva-Cancino, Nathalia et al.

Source: Ingeniería del Agua; jan2024, Vol. 28 Issue 1, p47-63, 17p

Sobre la automatización de la extracción de programas de pruebas de terminación ; On automating the extraction of programs from termination proofs

Authors: Kamareddine, Fairouz Monin, François Ayala Rincón, Mauricio et al.

Contributors: Kamareddine, Fairouz Monin, François Ayala Rincón, Mauricio et al.

Source: Revista Colombiana de Computación; Vol. 4 Núm. 2 (2003): Revista Colombiana de Computación; 1-20

Subject Terms: Innovaciones tecnológicas, Ciencia de los computadores, Desarrollo de tecnología, Ingeniería de sistemas, Investigaciones, Tecnologías de la información y las comunicaciones, TIC´s, Technological innovations, Computer science, Technology development, Systems engineering, Investigations, Information and communication technologies, ICT's, Program extraction, Product types, Termination, ProPre system, Ciencias de la computación, Desarrollo tecnológico, Tecnologías de la información y la comunicación, Extracción de programas, Tipos de productos, Terminación, Sistema ProPre

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Relation: https://revistas.unab.edu.co/index.php/rcc/article/view/1088/1060; https://revistas.unab.edu.co/index.php/rcc/article/view/1088; T. Arts and J. Giesl. Automatically proving termination where simplification orderings fail. In Proceedings of Theory and Practice of Software Development TAPSOFT’97, volume 1214 of LNCS, pages 261–272, 1997.; J. Giesl. Termination of nested and mutually recursive algorithms. J. of Automated Reasoning, 19:1–29, 1997.; W. A. Howard. The formulæ-as types notion of construction. In J. Hindley and J. Seldin, editors, To H.B. Curry: Essays on combinatory logic, lambda-calculus and formalism, pages 479–490. Academic Press, 1980.; F. Kamareddine and F. Monin. On automating inductive and non-inductive termination methods. In Proceedings of the 5th Asian Computing Science Conference, volume 1742 of LNCS, pages 177–189, 1999.; F. Kamareddine and F. Monin. On formalised proofs of termination of recursive functions. In Proceedings of the Int. Conf. on Principles and Practice of Declarative Programming, volume 1702 of LNCS, pages 29–46, 1999.; F. Kamareddine, F. Monin and M. Ayala-Rinc´on. On automating the extraction of programs from proofs using product types. In Proceedings of the 9th Workshop on Logic, Language, Information and Computation, WoLLIC’2002, Volume 67 of ENTCS, 20 pages, 2002.; J. L. Krivine. Lambda-calculus, Types and Models. Computers and Their Applications. Ellis Horwood, 1993.; J. L. Krivine and M. Parigot. Programming with proofs. J. Inf. Process Cybern, 26(3):149–167, 1990.; D. Leivant. Typing and computational properties of lambda expression. Theoretical Computer Science, 44:51–68, 1986.; P. Manoury. A user’s friendly syntax to define recursive functions as typed lambdaterms. In Proceedings of Type for Proofs and Programs TYPES’94, volume 996 of LNCS, pages 83–100, 1994.; P. Manoury, M. Parigot, and M. Simonot. ProPre, a programming language with proofs. In Proceedings of Logic Programming and Automated Reasoning, volume 624 of LNCS, pages 484–486, 1992.; P. Manoury and M. Simonot. Des preuves de totalit´e de fonctions comme synth`ese de programmes. PhD thesis, University Paris 7, 1992.; P. Manoury and M. Simonot. Automatizing termination proofs of recursively defined functions. Theoretical Computer Science, 135(2):319–343, 1994.; F. Monin and M. Simonot. An ordinal measure based procedure for termination of functions. Theoretical Computer Science, 254(1-2):63–94, 2001.; M. Parigot. Recursive programming with proofs: a second type theory. In Proceedings of the European Symposium on Programming ESOP’88, volume 300 of LNCS, pages 145–159, 1988.; M. Parigot. Recursive programming with proofs. Theoretical Computer Science, 94(2):335–356, 1992.; http://hdl.handle.net/20.500.12749/9046; instname:Universidad Autónoma de Bucaramanga UNAB; repourl:https://repository.unab.edu.co

Availability: https://hdl.handle.net/20.500.12749/9046

CARACTERIZACIÓN DE MARCADORES DE REALIDAD AUMENTADA PARA SU USO EN ROBÓTICA. (Spanish)

Alternate Title: CHARACTERIZATION OF AUGMENTED REALITY MARKERS FOR USE IN ROBOTICS. (English)

Authors: Valencia Hernández, Carlos Alberto Restrepo Martínez, Alejandro Muñoz Ceballos, Nelson David

Source: Revista Politécnica; jul-dic2017, Vol. 13 Issue 25, p87-102, 16p

Intelligent applicant tracking: leveraging machine learning for recruitment automation.

Alternate Title: Seguimiento inteligente de candidatos: aprovechamiento del aprendizaje automático para la automatización del reclutamiento. (Spanish)
Rastreamento inteligente de candidatos: aproveitando o aprendizado de máquina para automação de recrutamento. (Portuguese)

Authors: J., Sathyapriya P., Guru T., Sivakami et al.

Source: Revista Gestão & Tecnologia; 2025 Special Issue, Vol. 25, p126-146, 21p

Subject Terms: MACHINE learning, NATURAL language processing, ENSEMBLE learning, AUTOMATIC tracking, JOB qualifications