Search Results - acm: c.: computer systems organizacion/c.4: performance of systems/c.4.4: performance attributes*
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Subject Terms: Mudança tecnológica, Cambio organizacional, Organizational Change, Mudança Organizacional, Changement organisationnel, Health Organizations, Organizaciones en Salud, Organizações em Saúde, Organisations de Santé, Computer Systems, Sistemas informáticos, Systèmes informatiques, Organizaciones de salud, Cambio tecnológico, Technological change, Changement technologique
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Availability: https://dspace.tdea.edu.co/handle/tdea/2757
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Subject Terms: 650 - Gerencia y servicios auxiliares::658 - Gerencia general, Aplicaciones móviles, Empresa manufacturera, Digitalización, Transformación digital, Beneficios de las Aplicaciones móviles, Ventajas, Mobile application, Manufacturing company, Digitisation, Digital transformation, Benefits of Apps, Advantages, Aplicación informática, Computer applications, Tecnología de la información, Information technology, TIC, ICT
File Description: 120 páginas; application/pdf
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Subject Terms: 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores, Herramientas de evaluación, Motivación en el aprendizaje, Programación de computadores, Assessment tools, Computer programming, Learning motivation, Método de aprendizaje, Programa informático didáctico, Informática educativa, Learning methods, Educational software, Computer uses in education
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Authors: Amaya Esptita, Norbey Yesid
Source: Abbott, A. D. (2004). Methods of discovery: Heuristics for the social sciences [Métodos de descubrimiento: heurística para las ciencias sociales]. W.W. Norton & Company. ; Abdul Ghani, K., Jayabalan, V., & Sugumar, M. (2002). Impact of advanced manufacturing technology on organizational structure [Impacto de la tecnología de fabricación avanzada en la estructura organizativa]. The Journal of High Technology Management Research, 13(2), 157-175. ; Access to Medicine Foundation (AMF). (2018, 20 de noviembre). Access to medicine index 2018. Access to Medicine Foundation.https://accesstomedicinefoundation.org/publications/2018-access-tomedicine-index ; Al-Hanshi, M. A., Ojiako, U., & Williams, T. (2020). Managing strategic resources in petroleum industry projects [Gestión ....
Subject Terms: Estrategia, Visión basada en recursos, Organización intensiva en conocimiento, Industria farmacéutica, Recursos estratégicos, Atributos (valioso, raro, inimitable y organización), Marco VRIO, Matriz del perfil competitivo, Ventaja competitiva sostenida, Investigación cualitativa, Estudio de caso múltiple, Perspectiva interpretativista, Organización rica en conocimiento, Strategy, Resource-based view, Knowledge-intensive organization, Knowledge-rich organization, Pharmaceutical industry, Strategic resources, Attributes (valuable, rare, inimitable and organization), VRIO Framework, Competitive profile matrix, Sustained competitive advantage, Qualitative research, Multiple case study, Interpretive approach
File Description: 225 pp; application/pdf
Relation: https://doi.org/10.48713/10336_42466; https://repository.urosario.edu.co/handle/10336/42466
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Subject Terms: 000 - Ciencias de la computación, información y obras generales, Local area networks (Computer networks), Computer algorithms, Computer networks - design and construction, Redes de área local (Computadores), Algoritmos (Computadores), Redes de computadores - Diseño y construcción, Auto-organización, Cooperación, Confianza, Adaptación, Redes ad-hoc, Self-organization, Cooperation, Trust, Adaptation, Ad-hoc networks
File Description: xvi, 57 páginas; application/pdf
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En: IEEE Transactions on Mobile Computing 11 (2012), Nr. 9, p. 1514–1531; Bansal, Sorav; Baker, Mary: Observation-based cooperation enforcement in ad hoc networks. En: arXiv preprint cs/0307012 (2003); Bauer, Paul C.: Conceptualizing trust and trustworthiness. (2017); Bauer, Paul C.; Keusch, Florian; Kreuter, Frauke: Trust and cooperative behavior: Evidence from the realm of data-sharing. En: PloS one 14 (2019), Nr. 8, p. e0220115; Bisen, D; Sharma, S: An enhanced performance through agent-based secure approach for mobile ad hoc networks. En: International Journal of Electronics 105 (2018), Nr. 1, p. 116–136; Buchegger, Sonja; Le Boudec, Jean-Yves: Performance analysis of the CONFI- DANT protocol. En: Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing, 2002, p. 226–236; Chatterjee, P; Sengupta, I; Ghosh, S K.: STACRP: A secure trusted auction oriented clustering based routing protocol for MANET. En: Cluster Computing 15 (2012), Nr. 3, p. 303–320; Fadel, Etimad; Gungor, Vehbi C.; Nassef, Laila; Akkari, Nadine; Malik, MG A.; Almasri, Suleiman; Akyildiz, Ian F.: A survey on wireless sensor networks for smart grid. En: Computer Communications 71 (2015), p. 22–33; Fitzek, F.H.P.; Katz, M.D.: Cooperation in wireless networks: Principles and applications: Real egoistic behavior is to cooperate! Springer, 2006. – 1–641 p. – cited By 186; Friedman, Linda W.; Friedman, Hershey H.: Analyzing simulation output using the bootstrap method. En: Simulation 64 (1995), Nr. 2, p. 95–100; Gera, P; Garg, K; Misra, M: Trust-based multi-path routing for enhancing data security in MANETs. En: International Journal of Network Security 16 (2014), Nr. 2, p. 102–111; Gershenson, Carlos; Heylighen, Francis: When can we call a system self-organizing? 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Source: Revista Colombiana de Computación; Vol. 8 Núm. 1 (2007): Revista Colombiana de Computación; 1-19
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, Computing Information, Information systems, Management, Organization, Systems thinking, Ciencias de la computación, Desarrollo tecnológico, Tecnologías de la información y la comunicación, Información informática, Sistemas de información, Gestión, Organización, Pensamiento sistémico
File Description: application/pdf
Relation: https://revistas.unab.edu.co/index.php/rcc/article/view/1043/1016; https://revistas.unab.edu.co/index.php/rcc/article/view/1043; ACM, AIS, IEEE-CS. Computing Curricula 2005. Overview Report. Draft. http://www.acm.org/education/curricula.html (descargado el 16 de Mayo de 2005).; Olave C. Yesid A. y Gómez F. Luis Carlos. Sistemas de Información: Un acercamiento a la disciplina. Revista Universidad Eafit, 41(138) 29-43, 2005.; Andrade Hugo, Dyner Isaac, Espinosa Angela, López Garay Hernán, Sotaquirá Ricardo. Pensamiento sistémico: Diversidad en búsqueda de unidad. Ediciones UIS. 2001.; Hirschheim, R. y Klein, H.K. Four Paradigms of Information Systems Development. Communications of the ACM, 32(10) 1199-1216, 1989.; Checkland Peter y Scholes Jim. La metodología de sistemas suevas de acción. Editorial Limusa. 1994; Checkland Peter. Pensamiento de sistemas, práctica de sistemas. Editorial Limusa. 2000; Jackson Michael C. Systems approaches to management. Kluwer Academic Plenum Publishers. 2000.; López Garay Hernán. Extending Checkland's Phenomenological Approach to Information Systems. En: Cabo Jeimy J. Critical Reflections on Information Systems: A Systemic Approach. Newport University, 2003.; Checkland Peter. A 30-Year Retrospective. En: Systems Thinking, Systems Practice. John Wiley & Sons. Nueva Edición. 1999.; Checkland Peter y Holwell Sue. Information, Systems and Information Systems. John Wiley and Sons. 1998.; Fuenmayor Ramsés. Interpretando organizaciones. Una teoría sistémico-interpretativa de organizaciones. Editorial Universidad de los Andes. 2001; Morgan Gareth. Imágenes de la organización. Editorial Alfa omega. 1996.; Anthony R.A. Planning and control systems: a framework for analysis. Hardvard University Press. 1965.; Abril Gonzalo. Teoría General de la Información. Ediciones Cátedra. 1997; Davis Gordon y Olson Margarethe. Sistemas de Información Gerencial. McGraw Hill. 1987.; Johansen Oscar. Introducción a la teoría general de sistemas. Editorial Limusa. 1997.; Laudon Kenneth C. y Laudon Jane P. Sistemas de Información Gerencial. Editorial Prentice Hall. 2.002.; González C. Gustavo. Asesores en sistemas y desarrollo: Los nuevos Humanistas. Ediciones Uniandes. 2.003.; Maturana H. y Varela F. El árbol del conocimiento. Editorial Universitaria. 1984.; López Garay Hernán. ¿Modelado sistémico o diseño de medios de revelado?. Primera Conferencia Colombiana sobre Modelamiento Sistémico. Universidad Industrial de Santander. s.f.; Fuenmayor R. y López Garay H. The scene for interpretative systemology. Systems Practice. 4(5). 1991.; Fuenmayor R. The roots of reductionism. Systems Practice. 4(5). 1991.; Fuenmayor R. the self-referential structure of an everyday living situation: A phenomelogical ontology for interpretative systemology. Systems Practice. 4(5). 1991.; Fuenmayor R. Truth and openness: An epistemology for interpretative systemology, Systems Practice. 4(5). 1991.; Olave C. Yesid A. y Gómez F. Luis Carlos. La Naturaleza Sistémica de los Sistemas de Información. Una amplicación conceptual del enfoque teórico y práctico para su diseño. Tesis en desarrollo para optar por el título de Magíster en Informática. Grupo de Investigación STI. Universidad Industrial de Santander.; http://hdl.handle.net/20.500.12749/9002; instname:Universidad Autónoma de Bucaramanga UNAB; repourl:https://repository.unab.edu.co
Availability: https://hdl.handle.net/20.500.12749/9002
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Subject Terms: 650 - Gerencia y servicios auxiliares::658 - Gerencia general, Learning curve, Repetitive activities, Project resources, Competitiveness, Productivity, Curva de aprendizaje, Actividades repetitivas, Recursos en proyectos, Competitividad, Productividad
File Description: application/pdf
Relation: Arias Gaviria, J. (2014). Modelamiento y simulación de curvas de aprendizaje para tecnologías de energía renovable en Colombia. Universidad Nacional de Colombia - Sede Medellín.; Anzanello, M. J., & Fogliatto, F. S. (2011). Learning curve models and applications: Literature review and research directions. International Journal of Industrial Ergonomics.; DeJong, J.R. (1957) The Effects of Increasing Skill on Cycle Time And Its Consequences For Time Standards. Ergonomics 1, 1, 51-60.; Eden, C. (2004); Dismantling the learning curve: The role of disruptions on the planning of development projects. Department of Management Science, University of Strathclyde, 40 George Street, United Kingdom.; Feriyanto, N., Saleh, C., Badri, H. M., Md Deros, B., & Pratama, Y. (2015). Implementation learning and forgetting curve to predict needs and decrease of laborse performance after break. Jurnal Teknologi, 77(27).; Jarkas, A. M. (2010). Critical Investigation into the Applicability of the Learning Curve Theory to Rebar Fixing Labor Productivity. Journal of Construction Engineering and Management, 136(12), 1279–1288.; Mályusz, L., & Varga, A. (2017). An Estimation of the Learning Curve Effect on Project Scheduling with Calendar Days Calculation. In Procedia Engineering (Vol. 196, pp. 730–737).; Wright, T. (1936). "Factors Affecting the Cost of Airplanes", Journal of the Aeronautical Sciences, Vol. 3, No. 4 (1936), pp. 122-128.; Acosta, W. (2001) Redes y PERT/CPM, método del camino crítico. Gestiopolis. Recuperado el 27 de agosto de 2018 en https://www.gestiopolis.com/redes-y-pert-cpm-metodo-del-camino-critico/; Adler, P. & Clark, K. (1991). Behind the Learning Curve: A Sketch of the Learning Process. Management Science 37, 267-281.; Ahmadian Fard Fini, A., Rashidi, T. H., Akbarnezhad, A., & Travis Waller, S. (2016). Incorporating Multiskilling and Learning in the Optimization of Crew Composition. Journal of Construction Engineering and Management, 142(5), 04015106.; Ahmadizar, F., & Hosseini, L. (2012). Bi-criteria single machine scheduling with a time-dependent learning effect and release times. Applied Mathematical Modelling, 36(12), 6203–6214.; Ammar, M. & Abdel-Maged, A. (2017). Modeling of LOB scheduling with learning development effect. International Journal of Construction Management.; An, S., Ji, S., Hyun, C. & Han, S. (2015) A model-based productivity improvement of reinforced concrete work in a multi-housing project. KSCE Journal of Civil Engineering 19, 5, 1183-1192.; Anzanello, M. Fogliatto, F. S. (2007). Learning curve modelling of work assignment in mass customized assembly lines. International Journal of Production Research, 45, 13, 2919-2938.; Anzanello, M. J. Fogliatto, F. S. (2010). Scheduling learning dependent jobs in customized assembly lines. International Journal of Production Research, 48,22, 6683-6699.; Babu, A.& Suresh, N. (1996) Project management with time, cost, and quality considerations. European Journal of Operational Research 88, 2, 320-327.; Badiru, A. B. (1992). Computational Survey of Univariate and Multivariate Learning Curve Models. IEEE Transactions on Engineering Management, 39(2), 176–188.; Badiru, A. Ijaduola (2009). A. Half-Life Theory of Learning Curves for System Performance Analysis. IEEE Systems Journal, 2, 164-165.; Bailey, C.D. & Mcyntre (1997) The relation between fit and prediction for alternative forms of learning curves and relearning curves. E.V. IIE Transactions 29: 487.; Baloff,N. (2017) Extension of the Learning Curve — Some Empirical Results, Journal of the Operational Research Society, 22:4, 329-340.; Bassett, M. (2000). Assigning projects to optimize the utilization of employees’ time and expertise. In Computers and Chemical Engineering (Vol. 24, pp. 1013–1021).; Becerra, L. (2018) Productividad de las empresas, afectada por la ineficiencia. Recuperado el 20 de agosto de 2018 en https://www.eltiempo.com/economia/empresas/productividad-en-empresas-colombianas-238874; Biskup, D. (2008). A state-of-the-art review on scheduling with learning effects. European Journal of Operational Research, 188(2), 315–329.; Blancett, R. (2016) Learning from Productivity Learning Curves, Research-Technology Management,45:3, 54-58.; Blanning, R. (1981). Variable-base budgeting for R&D. Management Science 27 (5), 547-558.; Bowman, R. (2006). Developing activity duration specification limits for effective project control. European Journal of Operational Research, 2, 1191-1204.; Chambers S., & Johnston, R. (2000) Experience curves in services: macro and micro level approaches. International Journal of Operations & Production Management 20 (7), 842-859.; Cheng, M. (2013). Flowshop scheduling problems with a position-dependent exponential learning effect. Mathematical Problems in Engineering, 2013.; Consejo Privado de Competitividad (2018). ¿Por qué un pacto por la productividad? Recuperado el 20 de agosto de 2018 en https://compite.com.co/por-que-un-pacto-por-la-productividad/; Cook, J. (1991) A competitive model of the Japanese firm. Journal of Policy ModelingVolume 13, Issue 1, Spring 1991, 93-114.; Cook, S. (1971) The complexity of theorem proving procedures. Proceedings of the 3rd annual ACM Symposium on theory of computing., 151-158.; Eden C., Willians, T. & Ackermann F. (1998). Dismantling the learning curve; the role of disruptions on the planning of development projects. International Journal of Project Management 16 (3), 131-138.; Ellis Jr., R. & Lee, S. (2006) Measuring project level productivity on transportation projects. Journal of Construction Engineering and Management 132, 3, 314-320.; Elmaghraby, S.E. (1993) Resource allocation via dynamic programming in activity networks. European Journal of Operational Research 64, 2, 199-215.; Emmons, H. (1969) One-machine sequence to minimize certain functions of job tardiness. Ergun, H.& Pradhananga, N. (2015) Real-time location data for automated learning curve analysis of linear repetitive construction activities. Congress on Computing in Civil Engineering, Proceedings, 107-114; Everett, J. G., & Farghal, S. H. (1997). Data Representation for Predicting Performance with Learning Curves. Journal of Construction Engineering and Management, 123(1), 46–52.; Farghal, S., Everett, J. (1997) Learning Curves: Accuracy in Predicting Future Performance. Journal of Construction Engineering and Management 123,1-45.; Fedorowicz, J., Oz, E., & Berger, P. D. (1992). A Learning Curve Analysis of Expert System Use. Decision Sciences, 23(4), 797–818.; Fine, C. H. (1986). Quality Improvement and Learning in Productive Systems. Management Science, 32(10), 1301–1315.; Fioretti, G. (2007). The organizational learning curve. European Journal of Operational Research, 177(3), 1375–1384.; G Wang, J. B., & Wang, C. (2011). Single-machine due-window assignment problem with learning effect and deteriorating jobs. Applied Mathematical Modelling, 35(8), 4017–4022.; Givi, Z. S., Jaber, M. Y., & Neumann, W. P. (2015). Production planning in DRC systems considering worker performance. Computers and Industrial Engineering, 87, 317–327.; Globerson, S. (1984). The deviation of actual performance around learning curve models. International Journal of Production Research, 22(1), 51–62.; Globerson, S. (1989) The deviation of actual performance around learning curve models,International Journal of Production Research, 22:1, 51-62.; Globerson, S., & Gold, D. (1997). Statistical attributes of the power learning curve model. International Journal of Production Research, 35(3), 699–711.; Graham, R., Lawler, E., Lenstra, J. & Rinnoy, K. (1979). Optimization and approximiation in deterministic sequencing and scheduling. A survey. Annals of Discrete Mathemathics 5: 287-326.; Grosse, E. Glock, C.Müller, S. (2015). Production economics and the learning curve: A meta-analysis. International Journal of Production Economics, 170, 401-412.; Gruber, H. (1992). The learning curve in the production of semiconductor memory chips. Applied Economics, 24(8), 885–894.; Gruber, H. (1994). The yield factor and the learning curve in semiconductor production. Applied Economics, 26(8), 837–843.; Hardie, N. (2001). The prediction and control of project duration: A recursive model. International Journal of Project Management, 19(7), 401–409.; Hartley, K (1965). The Learning Curve and Its Application to the Aircraft Industry. The Journal of Industrial Economics, 2, 122-128.; Hartmann, S., & Briskorn, D. (2010). A survey of variants and extensions of the resource-constrained project scheduling problem. European Journal of Operational Research.; Heideger, K., & Stummer, C. (1999) Research and development project selection and resource allocation:a review of quantitative modelling approaches. International Journal of Management Reviews 1,2, 197-224.; Helin A., Soulder, W. (1974). Experimental test of a Q-sort procedure for prioritizing R&D projects. IEEE Transactions on Engineering Management, 21(4) 159-164.; Hernandez Sampieri, R., Fernández Collado, C. & Baptista Lucio, M. (2014) Metodología de la investigación, sexta edición. Ciudad de México, México. Ed. Mc Graw Hill.; Hijazi, A., Abourizk, S. & Halpin, D. (1992) Modeling and simulating learning development in construction. Journal of Construction Engineering and Management 118, 4, 685-700.; Horenburg, T. & Günthner, W. (2013) Construction scheduling and resource allocation based on actual state data. Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering, Pages 741-748.; Howick, S. & Eden, C. 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Subject Terms: 370 - Educación, 650 - Gerencia y servicios auxiliares::658 - Gerencia general, 170 - Ética (Filosofía moral), Ética estudiantil - Enseñanza superior, Ética, Valores morales, Juegos educativos, Juegos serios, Diseño de juegos, Educación, Método de enseñanza, Ethics, Moral values, Educational games, Serious games, Game design, Education, Teaching methods
File Description: xviii, 293 páginas; application/pdf
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Subject Terms: 000 - Ciencias de la computación, información y obras generales, Investigación y desarrollo (I+D), Innovación, Redes colaborativas, Organización, Estrategia, Ecosistema de capacidades dinámicas
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Source: Revista Colombiana de Computación; Vol. 2 Núm. 2 (2001): Revista Colombiana de Computación; 1-21
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, CASE Tools, Improvement of the development process, Selection, Evaluation, Organizational indicators, Information systems, Ciencias de la computación, Desarrollo tecnológico, Ingeniero de sistemas, Tecnología de la información y comunicación, Herramientas CASE, Mejora del proceso de desarrollo, Selección, Evaluación, Indicadores organizacionales, Sistemas de información
File Description: application/pdf
Relation: https://revistas.unab.edu.co/index.php/rcc/article/view/1114/1085; https://revistas.unab.edu.co/index.php/rcc/article/view/1114; I. Aaen and C. Sørensen, A CASE of Great Expectations. Scandinavian Journal of Information Systems, 3(1):3-23, 1991.; I. Aaen; A. Siltanen; C. Sørensen and V.P. Tahvanainen, A Tale of Two Countries - CASE Experiences and Expectations. In: The Impact of Computer Technologies on Information Systems Development, Proceedings from IFIP WG 8.2 Working Conference Minneapolis, Amsterdam, pp. 253-261, 1992.; I. Aaen, CASE User Satisfaction - Impact Evaluations in User Organizations. In: CASE '93 - Sixth International Workshop on Computer-Aided Software Engineering, IEEE Computer Society, Singapore, 1993.; I. Aaen, Problems in CASE Introduction: Experiences from User Organizations. Information and Software Technology, 36(11):643-654, 1994.; T. Bruckhaus; N. Madhavji; I. Janssen and J. Henshaw, The Impact of Tools on Software Productivity. IEEE Software, September:29-38, 1996.; P.Y.K. Chau, An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information and Management, 30:269-280, 1996.; I. Chiavenato. Introducción a la Teoría General de la Administración. McGraw Hill Interamericana S.A., Bogotá, 1997.; B. Curtis, The CASE for Process. In: The Impact of Computer Technologies on Information Systems Development, Proceedings from IFIP WG 8.2 Working Conference Minneapolis, Amsterdam, pp. 133-142, 1992.; L. Dávalos; M. Martínez; F. Jiménez; M. Calecca; R. Peñaranda; M. González; M. Boza; S. Freije; K. Betancourt and J. Alcácer. Situación presente del Estado Zulia. In: IESA, C.A. 19 (ed.), Proyecto Zulia: Competitividad para el desarrollo, Ediciones IESA, C.A., Caracas, pp. 1-47, 1999.; V. De Freitas. Factores que inciden en la adopción de las herramientas CASE en las organizaciones venezolanas, MSc. Thesis, Universidad Simón Bolívar, Enero 1997.; M. Díaz; M. Pérez and T. Rojas, A proposal of indicator for the evaluation of CASE tools. In: Proceedings of the International Conference on Information Systems Analysis and Synthesis ISAS’98, Orlando, pp. 127-134, 1998.; W. French and C. Bell. Organization Development Behavioral Science Interventions for Organization Improvement. Prentice-Hall Inc., Englewood Cliffs, 1996.; R. Hernández; C. Fernández and P. Baptista. Metodología de la Investigación. McGraw Hill Interamericana S.A., Mexico DF, 1998.; J. Iivari, Why Are CASE Tools Not Used?. Communications of the ACM, 39(10):94-103, 1996.; V.S. Lai, A contingency examination of CASE-task fit on software developer’s performance. European Journal of Information Systems, 8:27-39, 1999.; F. Losavio; A. Matteo and M. Pérez. CASE Integration Approaches and a Proposal for Object Oriented CASE Environment. Reporte Técnico del Centro de Ingeniería de Software y Sistemas (ISYS), Universidad Central de Venezuela, Junio 1996.; L. Mathiassen and C. Sørensen, Managing CASE Introduction: Beyond Software Process Maturity. In: Proceedings of the 1994 ACM SIGCPR Conference, Virginia, pp. 242-248, 1994.; L. Mathiassen and C. Sørensen, The Capability Maturity Model and CASE. Journal of Information Systems, 6(3):195-208, 1996.; B. Mcnurlin and R.J. Sprague. Information systems management in practice. Prentice-Hall, Inc., Upper Saddle River, 1998.; L. Mendoza; T. Rojas and M. Pérez, The Venezuelan Organizations behavior in front of the CASE tools selection. In: Proceedings of The 4 th World Multiconference on Systemics, Cybernetics and Informatics SCI 2000, Orlando, Vol. 2, pp. 517-522, 2000.; Microsoft Corporation (2000) Microsoft Encarta 2000 Encyclopaedia. Redmond, Washington.; A. Nelson and J. Rottman, Before and after CASE adoption. Information and Management, 31:193-202, 1996.; W.J. Orlikowski, CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development. MIS Quarterly, 17(3):309-340, 1993.; G. Premkumar and M. Potter, Adoption of Computer Aided Software Engineering (CASE) Technology: an Innovation Adoption Perspective. DATABASE Advances, 26(2&3):105-123, 1995.; T. Rojas; M. Pérez and L. Mendoza, Improvement of the Process of Development of the Information Systems through a Proposal of Organizational Indicators to Evaluate Case Tools. In: Proceedings of the Fifth Americas Conference on Information Systems AMCIS 1999, Milwaukee, pp. 761-763, 1999.; T. Rojas; M. Pérez; A. Grimán; M. Ortega and A. Díaz, Selecting CASE tools: A Decision model. Revista de la Facultad de Ingeniería de la UCV, 15(2):15-29, 2000.; T. Rojas; L. Mendoza and M. Pérez, Organizational Indicators to Compared CASE tools in Venezuela Revista de la Facultad de Ingeniería de la UCV, 16(2):8-30, 2001.; B. Smyth, Understanding CASE Success: A Basis For Ongoing CASE Adoption. In: 7 th European Conference on Information Systems, Copenhagen, 1999.; I. Sommerville Software engineering. Addison-Wesley Publishing Company, Reading, 1998.; C. Sørensen, What Influences Regular CASE Use In Organizations? – An Empirical Based Model. Scandinavian Journal of Information Systems, 5(1):25-50, 1993.; L. Valaer and R. Babb. Choosing a User Interface Development Tool. IEEE Software, July/August:29-39, 1997.; O. Viloria and T. Rojas, Variables que afectan la asimilación de las herramientas CASE en las organizaciones venezolanas. Revista Venezolana de Gestión Tecnológica, 17(2):81-94, 1996.; http://hdl.handle.net/20.500.12749/9071; instname:Universidad Autónoma de Bucaramanga UNAB; repourl:https://repository.unab.edu.co
Availability: https://hdl.handle.net/20.500.12749/9071
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Subject Terms: 000 - Ciencias de la computación, información y obras generales, 620 - Ingeniería y operaciones afines, 300 - Ciencias sociales, 380 - Comercio, comunicaciones, transporte::388 - Transporte, 320 - Ciencia política (política y gobierno), Motocicletas - Estudios de caso - Cali (Valle del Cauca, Colombia), Políticas de transporte urbano - Colombia, Transporte urbano - Métodos de simulación, Seguridad vial - Colombia, Contaminación ambiental - Cali (Valle del Cauca, Motocicleta, Modelado basado en agentes, Políticas de transporte, Evaluación de políticas, Elección de modo de transporte, Sistemas complejos, Motorcycle, Agent-Based Modeling, Public Policies, Policy Evaluation, Transport Mode Choice, Complex Systems
Subject Geographic: Cali (Valle del Cauca, Colombia)
File Description: 260 páginas; application/pdf
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Subject Terms: 570 - Biología::573 - Sistemas fisiológicos específicos en animales, histología regional y fisiología en los animales, Cell aggregates, Morphogenesis model, Tissue engineering, Cell rearrangement, Self-learning KMC, Morphogenesis, Bioprinting simulation, Bioconvergence, Agregados celulares, Modelo de morfogenesis, Ingenieria de tejidos, Morfogenesis, Bioconvergencia
File Description: 227 páginas; application/pdf
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Subject Terms: 650 - Gerencia y servicios auxiliares::658 - Gerencia general, Transformación digital, Digitalización, Modelos de madurez de transformación digital, Transformación del modelo de negocio, Digital transformation, Digitization, Digital transformation maturity models, Business model transformation, Cambio tecnológico, Comportamiento innovador, Resistencia al cambio, Technological change, Innovation behaviour, Resistance to change
File Description: xx, 205 páginas; application/pdf
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Source: Revista Ingenierías Universidad de Medellín; Vol. 16, núm. 30 (2017); 97-114 ; 2248-4094 ; 1692-3324
Subject Terms: activity taxonomy (ATx), Human computer interaction (HCI), Use cases, Interactive systems development, Taxonomía de la Actividad (TxA), Interacción Humano Computador (HCI), Casos de Uso, Desarrollo de Sistemas Interactivos
Subject Geographic: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
File Description: p. 97-114; Electrónico; application/pdf; text/html
Relation: http://revistas.udem.edu.co/index.php/ingenierias/article/view/1214; 16; 30; 97; 114; Jacobson, I., I. Spence, and K. Bittner Use-Case 2.0. The Guide to Succeding with Use Cases. 2011.; Nunes, D. N. J., Object Modeling for User-Centered Development and User Interface Design: The Wisdom Approach. 2001, Universidade da Madeira: Funchal.; Lozano, M.D., Entorno metodológico orientado a objetos para la especificación y desarrollo de interfaces de usuario. 2001, Universidad Politecnica de Valencia.; Giraldo, W. J., Marco de desarrollo de sistemas software interactivos basado en la integración de procesos y notaciones, Escuela Superior de Informática de Ciudad Real. 2010, Universidad de Castilla-La Mancha: Ciudad Real. p. 370.; Ng, P.-W., “Effective Business Modeling with UML: Describing Business Use Case and Realizations”. The Rational Edge, 2002.; Gottesdiener, E., “Top Ten Ways Project Teams Misuse Use Cases -- and How to Correct Them”, Rational Edge. 2002, Rational Software.; Constantine, L. L. and L. A. D. Lockwood, “Structure and style in use cases for user interface design”, in Object modeling and user interface design: designing interactive systems. 2001, Addison-Wesley. pp 245-279.; Cockburn, A., Writing Effective Use Cases. Addison-Wesley. 2000.; Villegas, M. L., C. A. Collazos, W.J. Giraldo and J.M. González. “Activity Theory as a Framework for Activity Taxonomy in HCI”. IEEE Latin America Transactions, Vol. 14, No. 2. 2016.; Paternò, F. “Towards a UML for Interactive Systems”. in 8th International Conference on Engineering for Human-Computer Interaction. 2001. Springer.; Langlands, M. and C. Edwards, “Business vs. System Use Cases”. Disponible en: http://www.agileea.com/Whitepapers/All3%20Business%20vs%20System%20Use%20Cases%20v1%209.pdf. 2009.; Kramer, J. and O. Hazzan, “The Role of Abstraction in Software Engineering”, 28th International Conference on Software Engineering (ICSE) 2006, ACM: Shanghai, China.; Zachman, J. A., “The Zachman Framework for Enterprise Arquitecture - The Enterprise Ontology”. Disponible en: www.zachman.com. 2007-2011.; Liskov, B. and S. Zilles, “Specification techniques for data abstractions”, Proceedings of the international conference on Reliable software. 1975, ACM.; Giraldo, W. J., M. L. Villegas, and C.A. Collazos. Incorporación de HCI: Validación de la Usabilidad en Casos de Uso mediante la Taxonomía de la Actividad. in Computing Colombian Conference (10CCC), 2015 9th. 2015.; Iqbal, R., A. James, and R. Gatward, “Designing with ethnography: An integrative approach to CSCW design”. Advanced Engineering Informatics, 2005. 19(2): pp 81-92.; Molina, A. I. “CIAM: A methodology for the development of groupware user interfaces”. Journal of Universal Computer Science(JUCS), 2008. 14(9).; Ambler, S.W. “System Use Cases: An Agile Introduction”. Disponible en:http://agilemodeling.com/artifacts/systemUseCase.htm. 2013-2014.; Paternò, F.: ‘ConcurTaskTrees: An Engineered Notation for Task Models’. Lawrence Erlbaum Associates, 2004. pp. 483-501.; Constantine, L. L., “Essential modeling: use cases for user interfaces”. Interactions ACM, 1995. 2(2): pp 34-46.; Revista Ingenierías Universidad de Medellín; http://hdl.handle.net/11407/3549; http://dx.doi.org/10.22395/rium.v16n30a5; reponame:Repositorio Institucional Universidad de Medellín; repourl:https://repository.udem.edu.co/; instname:Universidad de Medellín
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Authors:
Contributors:
Subject Terms: 600 - Tecnología (Ciencias aplicadas)::607 - Educación, investigación, temas relacionados, 700 - Las artes, bellas artes y artes decorativas::707 - Educación, temas relacionados y artes decorativas, Experiencia de Uso, Investigación de usuarios, Apropiación tecnológica, TIC, Motivación, Creencia, Temor, User experience, User research, Technological appropriation, ICT, Motivation, Belief, Fear, Sociología del cambio, Tecnología educacional, Sociology of change, Educational technology, experiencia de usuario
Subject Geographic: Bogotá, Colombia, Cundinamarca, http://vocab.getty.edu/page/tgn/1000838
File Description: 316 páginas; application/pdf
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Subject Terms: 590 - Animales, Cow-calf systems, Cattle, Floodes savannas, Structural analysis, Functional analysis, Typification, Grouping, Bovinos, sabanas inundables, Análisis estructural, Análisis funcional, Sistemas de producción de cría, Tipificación, Agrupamientos
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IEEE Access, Vol 8, Pp 131461-131498 (2020)Subject Terms: FOS: Computer and information sciences, Metric (unit), Computer Networks and Communications, Software quality, 02 engineering and technology, Cloud Computing and Big Data Technologies, Security Challenges in Cloud Computing, Data science, metrics, Engineering, Quality of service, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Data mining, Biology, Computer network, Internet of Things and Edge Computing, Systematic literature review, systematic literature review, Botany, Cloud Computing, Taxonomy (biology), Computer science, cloud services, TK1-9971, Operating system, Operations management, Cloud services, Computer Science, Physical Sciences, ORGANIZACION DE EMPRESAS, Metrics, Electrical engineering. Electronics. Nuclear engineering, LENGUAJES Y SISTEMAS INFORMATICOS, Information Systems
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Phillips, Andrew Dalke, William Humphrey, Klaus Schulten, Rajeev Sharma, T. S. Huang, V. I. Pavlovic, Y. Zhao, Z. Lo, and S. Chu. A visual computing environment for very large scale biomolecular modeling. In Proceedings of the 1997 IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), pages 3-12. IEEE Computer Society Press, 1997; John E. Stone, Justin Gullingsrud, Paul Grayson, and Klaus Schulten. A system for interactive molecular dynamics simulation. In John F. Hughes and Carlo H. Séquin, editors, 2001 ACM Symposium on Interactive 3D Graphics, pages 191-194, New York, 2001. ACM SIGGRAPH.; Matthieu Chavent, Tyler Reddy, Joseph Goose, Anna Caroline E. Dahl, John E. Stone, Bruno Jobard, and Mark S.P. Sansom. Methodologies for the analysis of instantaneous lipid diffusion in MD simulations of 161 161 large membrane systems. Faraday Discuss., 169:455-475, 2014.; Benjamin G. Levine, John E. Stone, and Axel Kohlmeyer. Fast analysis of molecular dynamics trajectories with graphics processing units-radial distribution function histogramming. J. Comp. Phys., 230:3556-3569, 2011.; John Stone and Mark Underwood. Rendering of numerical flow simulations using MPI. In Second MPI Developer's Conference, pages 138-141. IEEE Computer Society Technical Committee on Distributed Processing, IEEE Computer Society Press, 1996.; John E. Stone. An Efficient Library for Parallel Ray Tracing and Animation. Master's thesis, Computer Science Department, University of Missouri-Rolla, April 1998.; John E. Stone, Barry Isralewitz, and Klaus Schulten. Early experiences scaling VMD molecular visualization and analysis jobs on Blue Waters. In Extreme Scaling Workshop (XSW), 2013, pages 43-50, Aug. 2013; I. Wald, G. Johnson, J. Amstutz, C. Brownlee, A. Knoll, J. Jeffers, J. Gunther, and P. Navratil. OSPRay - a CPU ray tracing framework for scientific visualization. IEEE Transactions on Visualization and Computer Graphics, 23(1):1-1, 20; John E. Stone, James C. Phillips, Peter L. Freddolino, David J. Hardy, Leonardo G. Trabuco, and Klaus Schulten. Accelerating molecular modeling applications with graphics processors. J. Comp. Chem., 28:2618-2640, 2007.; John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone, and James C. Phillips. GPU computing. Proc. IEEE, 96:879-899, 2008; Christopher I. Rodrigues, David J. Hardy, John E. Stone, Klaus Schulten, and Wen-mei W. Hwu. GPU acceleration of cutoff pair potentials for molecular modeling applications. In CF'08: Proceedings of the 2008 conference on Computing Frontiers, pages 273-282, New York, NY, USA, 2008. AC; David J. Hardy, John E. Stone, and Klaus Schulten. Multilevel summation of electrostatic potentials using graphics processing units. J. Paral. Comp., 35:164-177, 2009.; Volodymyr Kindratenko, Jeremy Enos, Guochun Shi, Michael Showerman, Galen Arnold, John E. Stone, James Phillips, and Wen-mei Hwu. GPU clusters for high performance computing. In Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on, pages 1-8, 2009; John E. Stone, David J. Hardy, Ivan S. Ufimtsev, and Klaus Schulten. GPU-accelerated molecular modeling coming of age. J. Mol. Graph. Model., 29:116-125, 2010; John E. Stone, David Gohara, and Guochun Shi. OpenCL: A parallel programming standard for heterogeneous computing systems. Comput. in Sci. and Eng., 12:66-73, 2010.; Jeremy Enos, Craig Steffen, Joshi Fullop, Michael Showerman, Guochun Shi, Kenneth Esler, Volodymyr Kindratenko, John E. Stone, and James C. Phillips. Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters. In International Conference on Green Computing, pages 317-324, 2010.; John E. Stone, David J. Hardy, Barry Isralewitz, and Klaus Schulten. GPU algorithms for molecular modeling. In Jack Dongarra, David A. Bader, and Jakub Kurzak, editors, Scientific Computing with Multicore and Accelerators, chapter 16, pages 351-371. Chapman & Hall/CRC Press, 2011; David J. Hardy, Zhe Wu, James C. Phillips, John E. Stone, Robert D. Skeel, and Klaus Schulten. Multilevel summation method for electrostatic force evaluation. J. Chem. Theor. Comp., 11:766-779, 201; John E. Stone, Ryan McGreevy, Barry Isralewitz, and Klaus Schulten. GPU-accelerated analysis and visualization of large structures solved by molecular dynamics flexible fitting. Faraday Discuss., 169:265-283, 2014; Abhishek Singharoy, Ivan Teo, Ryan McGreevy, John E. Stone, Jianhua Zhao, and Klaus Schulten. Molecular dynamics-based refinement and validation with Resolution Exchange MDFF for sub-5 Å cryo-electron microscopy maps. eLife, 10.7554/eLife.16105, 2016. (66 pages).; John E. Stone, Juan R. Perilla, C. Keith Cassidy, and Klaus Schulten. GPU-accelerated molecular dynamics clustering analysis with OpenACC. In Robert Farber, editor, Parallel Programming with OpenACC, pages 215-240. Morgan Kaufmann, Cambridge, MA, 2016; John E. Stone, Jan Saam, David J. Hardy, Kirby L. Vandivort, Wen-mei W. Hwu, and Klaus Schulten. High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs. In Proceedings of the 2nd Workshop on General-Purpose Processing on Graphics Processing Units, ACM International Conference Proceeding Series, volume 383, pages 9-18, New York, NY, USA, 2009. ACM.; John E. Stone, David J. Hardy, Jan Saam, Kirby L. Vandivort, and Klaus Schulten. GPU-accelerated computation and interactive display of molecular orbitals. In Wen-mei Hwu, editor, GPU Computing Gems, chapter 1, pages 5-18. Morgan Kaufmann Publishers, 2011; John E. Stone, Michael J. Hallock, James C. Phillips, Joseph R. Peterson, Zaida Luthey-Schulten, and Klaus Schulten. Evaluation of emerging energy-efficient heterogeneous computing platforms for biomolecular and cellular simulation workloads. 2016 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW), pages 89-100, 2016.; John E. Stone, Antti-Pekka Hynninen, James C. Phillips, and Klaus Schulten. Early experiences porting the NAMD and VMD molecular simulation and analysis software to GPU-accelerated OpenPOWER platforms. Lect. Notes in Comp. Sci., 9945:188-206, 2016; Michael Krone, John E. Stone, Thomas Ertl, and Klaus Schulten. Fast visualization of Gaussian density surfaces for molecular dynamics and particle system trajectories. In EuroVis - Short Papers 2012, pages 67-71, 2012; Elijah Roberts, John E. Stone, and Zaida Luthey-Schulten. Lattice microbes: High-performance stochastic simulation method for the reaction-diffusion master equation. J. Comp. Chem., 34:245-255, 2013.; Structures et fonctions des molécules biologiques. Utilisations pédagogiques des visualisations tridimensionnelles avec Rasmol. J. Barrère, J-Y Dupont and N. Salamé. INRP, 1997, 128 pages.; Surprising similarities in structure comparison. Jean-François Gilbrat, Thomas Madej, and Stephen H. Bryant. Current Opinion in Structural Biology 6:377-385, 1996. A review of early results of searcing for similarities in structure, regardless of sequence similarities. Describes the Vector Alignment Search Tool (VAST) provided by the US National Center for Biotechnology Information; GlaxoWellcome and MDL become entangled in the Web, by John Hodgson, Nature Biotechnology 14:690, June 1996. This article concerning RasMol and Chime is full of errors. See the editorial comment; A Dynamic Look at Structures: WWW-Entrez and the Molecular Modeling Database, by Christopher W. V. Hogue, Hitomi Ohkawa and Stephen H. Bryant. Trends in Biochemical Sciences, 21:226-9, 1996. All PDB files have been converted to the WWW-Entrez format ASN.1. This format can handle a broader range of 3D structural information, including for example models from electron microscopy. WWW-Entrez links 3D structural information with GenBank sequences and MEDLINE abstracts. Related structures can be identified. Kinemage animations are generated automatically to reveal information buried in PDB files, such as thermal factors, disordered zones, and multiple NMR models.; RasMol: Biomolecular graphics for all, by Roger A. Sayle and E. James Milner-White, Trends in Biochemical Sciences 20(Sept):374-376, 1995. RasMol was first widely distributed via the Internet in June, 1993, but this is the original paper publication describing RasMol; Hyperactive Molecules and the World-Wide-Web Information System, by Omer Casher, Gudge K. Chandramohan, Martin J. Hargreaves, Christopher Leach, Peter Murray-Rust, Henry S. Rzepa, Roger A. Sayle and Benjamin J. Whitaker. J. Chem. Soc., Perkin Trans. 2, 1995, 7. This paper proposes sharing chemical data too bulky for journal publication via World Wide Web. To accomplish this, it introduces various new chemical MIME (Multipurpose Internet Mail Extension) types, including chemical/x-csml for the Chemical Structure Markup Language which can be understood by RasMol; Software for viewing biomolecules in three dimensions on the Internet, by Alvaro Sanchez-Ferrer, Estrella Nunez-Delicado, and Roque Bru, Trends in Biochemical Sciences 20(July):286-288, 1995.Compares RasMol 2.5, pdVwin, Pkin_2_4/Mage_2_4, Hyperchem 3; Utilisations pédagogiques des visualisations tridimensionelles de molécules en biologie, by J. Barrère, J.-Y. Dupont, and N. Salamé, in Images numériques dan l'enseignement des sciences, Journées d'études CNAM, June 1995, J. C. Le Touzé and N. Salamé, eds., Institut Nationale de Recherche Pédagogique, pp. 87-93. A brief introduction to the use of RasMol for educational molecular visualization of DNA and proteins, touching on hemoglobin and the active site of carboxypeptidase. Illustrated.; Kinemages: make your own molecules for teaching, by Charles W. Sokolik, Trends in Biochemical Sciences 20(March):122-4, 1995; Kinemages -- simple macromolecular graphics for interactive teaching and publication, by David C. Richardson and Jane S. Richardson, Trends in Biochemical Sciences 19(March):135-8, 1994.; CPK models are very informative during the process of putting them together, but the completed models all look alike. Computer versions of CPK models have successfully imitated their appearance and most of their disadvantages (the fact that the inside is completely hidden, and the difficulty of identifying an atom or group), without, so far, imitating the real virtue of CPK's, which is the physical "feel" for the bumps, constraints, and degrees of freedom one obtains by manipulating them.; The Kinemage: A tool for scientific communication, by David C. Richardson, and Jane S. Richardson, Protein Science 1:3-9, 1992; Feynman. R, There’s Plenty of Room at the Bottom, American Physical Society, 1959. H.D. Gilbert, Miniaturization Reinhold Publishing Corp, N.Y, 1961,282. http://www.zyvex.com/nanotech/feynman.html. 2 N. Taniguchi, “On the Basic Concept of Nanotechnology”, Proc.Intl.Conf.Prod.Eng, Tokyo 1974, 18. 3 T. Theis, D. Parr, P. Binks, J. Ying, K. E.; Drexler, E. Schepers, K. Mullis, C. Bai, J. J. Boland, R. Langer, P. Dobson, C. N. R. Rao, M. Ferrari, , Nat.Nanotech. 2006,1,8. 4 J. J. 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