Výsledky vyhledávání - Adaptive sensor placement algorithm

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    An adaptive sensor placement algorithm for structural health monitoring based on multi-objective iterative optimization using weight factor updating Autor Yang, Chen

    ISSN: 0888-3270, 1096-1216
    Vydáno: Berlin Elsevier Ltd 01.04.2021
    “… of different methods in combined optimization. To overcome these shortcomings in solving a multi-objective problem for sensor locations, a sensor placement algorithm for structural health monitoring based on an iterative updating process is proposed…”
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    Journal Article
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    Optimal sensor placement for health monitoring of high-rise structure using adaptive monkey algorithm Autor Yi, Ting-Hua, Li, Hong-Nan, Song, Gangbing, Zhang, Xu-Dong

    ISSN: 1545-2255, 1545-2263
    Vydáno: Pavia Blackwell Publishing Ltd 01.04.2015
    “… In this paper, a novel optimal sensor placement algorithm, called adaptive monkey algorithm (AMA), to cope with the sensor placement problem for target location under constraints of the computing efficiency and convergence stability is proposed…”
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    An adaptive, real-time cadence algorithm for unconstrained sensor placement Autor van Oeveren, B.T., de Ruiter, C.J., Beek, P.J., Rispens, S.M., van Dieën, J.H.

    ISSN: 1350-4533, 1873-4030, 1873-4030
    Vydáno: England Elsevier Ltd 01.02.2018
    Vydáno v Medical engineering & physics (01.02.2018)
    “… This paper evaluates a new and adaptive real-time cadence detection algorithm (CDA) for unconstrained sensor placement during walking and running…”
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    Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems Autor Ren, Yuan, Ding, Yu, Liang, Faming

    ISSN: 0960-3174, 1573-1375
    Vydáno: Boston Springer US 01.12.2008
    Vydáno v Statistics and computing (01.12.2008)
    “…In this paper, we present an adaptive evolutionary Monte Carlo algorithm (AEMC), which combines a tree-based predictive model with an evolutionary Monte Carlo sampling procedure for the purpose of global optimization…”
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    Sensor Placement Optimization Based on an Improved Inertia and Adaptive Particle Swarm Algorithm During an Explosion Autor Ding, Yong-Hong, You, Wen-Bin

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2020
    Vydáno v IEEE access (2020)
    “… In this paper, an optimization method of sensor placement based on an improved inertia and adaptive particle swarm optimization (IIAPSO…”
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    Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects Autor Guo, Zhen, Zhou, MengChu, Jiang, Guofei

    ISSN: 1083-4419
    Vydáno: United States IEEE 01.02.2008
    “… Based on the real-time estimates of object distribution, an adaptive sensor placement algorithm could be designed to achieve stable and high accuracy in tracking mass objects…”
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    Node Placement Optimization of Wireless Sensor Networks Using Multi-Objective Adaptive Degressive Ary Number Encoded Genetic Algorithm Autor Zhang, Yijie, Liu, Mandan

    ISSN: 1999-4893, 1999-4893
    Vydáno: Basel MDPI AG 01.08.2020
    Vydáno v Algorithms (01.08.2020)
    “… It has been widely used in various fields. In the WSN, the placement of node sensors has a great impact on its coverage, energy consumption and some other…”
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    A New Optimal Sensor Placement Strategy Based on Modified Modal Assurance Criterion and Improved Adaptive Genetic Algorithm for Structural Health Monitoring Autor Wang, Ronghao, Yang, Qiliang, Li, Juelong, Xing, Jianchun, He, Can, Zhang, Xun

    ISSN: 1024-123X, 1563-5147
    Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
    Vydáno v Mathematical problems in engineering (01.01.2015)
    “…Optimal sensor placement (OSP) is an important part in the structural health monitoring…”
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    Optimal node placement of industrial wireless sensor networks based on adaptive mutation probability binary particle swarm optimization algorithm Autor Wang, Ling, Ye, Wei, Wang, Haikuan, Fu, Xiping, Fei, Minrui, Menhas, Ilyas

    ISSN: 1820-0214, 2406-1018
    Vydáno: 2012
    “…Industrial Wireless Sensor Networks (IWSNs), a novel technique in industry control, can greatly reduce the cost of measurement and control and improve productive efficiency…”
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    Node placement optimization for distributed sensor network using adaptive genetic algorithm Autor Yan Qingli, Chen Jianfeng

    Vydáno: IEEE 01.08.2016
    “… An adaptive genetic algorithm is then designed and applied to the optimal sensor placement process…”
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    Konferenční příspěvek
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    Coverage optimization for IoT-based network using Monarch Butterfly Optimization with greedy strategy and self-adaptive crossover operator Autor Pavithra, R., Arivudainambi, D., Afizudeen, S., Poorani, T.S.

    ISSN: 1744-5760, 1744-5779
    Vydáno: Abingdon Taylor & Francis 01.11.2024
    “… To address the coverage problem, a meta-heuristic algorithm Monarch Butterfly Optimization with greedy strategy and self-adaptive crossover operator (GCMBO…”
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    Health assessment of the wharf based on evidential reasoning rule considering optimal sensor placement Autor Zhang, Chaoli, Zhou, Zhijie, Hu, Guanyu, Yang, Lihao, Tang, Shuaiwen

    ISSN: 0263-2241, 1873-412X
    Vydáno: London Elsevier Ltd 01.12.2021
    “… Therefore, a structural health assessment method based on evidential reasoning (ER) rule considering the optimal sensor placement (OSP…”
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    Optimal node placement in industrial Wireless Sensor Networks using adaptive mutation probability binary Particle Swarm Optimization algorithm Autor Ling Wang, Xiping Fu, Jiating Fang, Haikuan Wang, Minrui Fei

    ISBN: 9781424499502, 142449950X
    ISSN: 2157-9555
    Vydáno: IEEE 01.07.2011
    “… Considering the reliability requirements, the setup cost and energy balance in IWSNs, the node placement model of IWSNs is built and an adaptive mutation probability binary Particle Swarm Optimization algorithm (AMPBPSO…”
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    Konferenční příspěvek
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    UASPAR: Utility-Based Adaptive Sensor Placement and Reconfiguration for Energy-Efficient Wireless Sensor Networks Autor Sheth, Chaitanya, Devmurari, Kandarp, Kumar, Manish, Rajput, Kunwar Pritiraj

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 01.09.2025
    Vydáno v IEEE sensors journal (01.09.2025)
    “…This work presents a utility-based adaptive sensor placement and reconfiguration (UASPAR…”
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    A Novel HLAPAA Sensor Placement Method with Adaptive Double Population Grey Wolf Optimizer Autor Xu, Pengying, Han, Jiusheng, Wang, Yan, Yan, Yuefei, Xing, Zhaoyang, Wang, Zhihai, Yu, Kunpeng, Wang, Dengfeng, Yeo, Tat-Soon, Wang, Congsi

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 01.01.2023
    “… with large HLAPAA with tens thousands of degrees of freedom. In this paper, we propose a novel HLAPAA sensor placement method with an adaptive double population grey wolf optimizer (ADGWO…”
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    Adaptive and Decentralized Operator Placement for In-Network Query Processing Autor Bonfils, Boris Jan, Bonnet, Philippe

    ISSN: 1018-4864, 1572-9451
    Vydáno: New York Springer Nature B.V 01.06.2004
    Vydáno v Telecommunication systems (01.06.2004)
    “… These algorithms are however centralized and cannot be used in a sensor network. We describe an adaptive and decentralized algorithm that progressively refines the placement of operators by walking through neighbor nodes…”
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    A forest adaptive sensor topology enhanced artificial bee colony algorithm (FAST-ABC) for early detection of wildfire Autor Salaria, Anshika, Singh, Amandeep

    ISSN: 2631-8695, 2631-8695
    Vydáno: IOP Publishing 31.12.2025
    Vydáno v Engineering Research Express (31.12.2025)
    “… Current works on forest fire monitoring systems consist of wireless sensor networks, as they are most suitable for such disaster management scenarios…”
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    Entropy-based Thermal Sensor Placement and Temperature Reconstruction based on Adaptive Compressive Sensing Theory Autor Chen, Kun-Chih, Chen, Chia-Hsin, Wang, Lei-Qi, Wang, Chun-Chieh

    ISSN: 0278-0070, 1937-4151
    Vydáno: IEEE 2025
    “… Considering the manufacturing cost and power consumption, only a small number of temperature sensors are used to obtain the temperature information on multi-core systems…”
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