Search Results - (( control optimization method algorithm ) OR ( a distribution sensor algorithm ))

Optimizing wireless sensor networks: A survey of clustering strategies and algorithms by Hamim, Sakib Iqram, Azamuddin, Ab Rahman

“…Clustering has become a vital technique in the control of energy demands with the various sensor nodes being grouped in several clusters under the supervision of a cluster head. …”
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The comparison study among optimization techniques in optimizing a distribution system state estimation by Hazim Imad, Hazim

“…A consensus based static state estimation strategy for radial power distribution systems is proposed in this research. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

“…The first scheme is a SensorAnt, which is a self-optimization mechanism for WSN. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Also, self-adaptive scaling factor and crossover probability control parameters are introduced to diminish time of finding an optimal parameter to produce the best population. …”
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Single fitness function analysis of energy-consumption and radio bandwidth management in coverage area problems by Kalid Abdlkader Marsal

Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

“…In industrial inspection, segmentation algorithms detect product defects, cracks, or anomalies for quality control and safety. …”
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Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm by Uddin, M., Mekhilef, Saad, Rivera, M., Rodriguez, J.

“…This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). …”
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Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution by Nokhanji, Nooshin

“…Therefore, in this study, a new algorithm called Scheduled-Activity Energy Aware Distributed Clustering (SA-EADC) is proposed. …”
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Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi by Saleh Al-Shalabi, Abdullah

“…The third demonstrated algorithm is a power aware k-coverage algorithm for WSNs with adjustable sensing range. …”
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Harmony search-based robust optimal controller with prior defined structure by Rafieishahemabadi, Ali

“…In this approach, a combination of interacting two levels HS optimization algorithm is presented. In the first level, a new method for analytical formulation of integral square error cost function based on controller variables is elaborated for performance evaluation purposes by the proposed optimization algorithm. …”
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A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution by Nokhanji, Nooshin, Mohd Hanapi, Zurina, Subramaniam, Shamala, Mohamed, Mohamad Afendee

“…Therefore, in this paper, a new algorithm called scheduled activity EADC (SA-EADC) is proposed. …”
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Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm by Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

“…This study concludes that the AOA optimization algorithm surpasses other methods in tuning the PID controller for closed-loop DC-DC buck converters.…”
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Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms by Ahmed, Tarem, Ahmed, Supriyo, Pathan, Al-Sakib Khan

“…This paper demonstrates the applicability of a selection of such algorithms to a distributed network of wireless sensors. …”
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Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks by Bakhsh, S.T., Aman Sheikh, M., Alghamdi, R.

“…The distributive nature of wireless sensor networks (WSNs) poses great challenges for the design of distributive scheduling to maximize network life and spatial reuse of time slot with minimum frame length. …”
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BBO algorithm-based tuning of PID controller for speed control of synchronous machine by Kasilingam G., Pasupuleti J.

Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement by Karami, Mahdi

“…This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. …”
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Position tracking of DC motor with PID controller utilizing particle swarm optimization algorithm with lévy flight and doppler effect by Nur Iffah, Mohamed Azmi, Nafrizuan, Mat Yahya

“…Traditional optimization algorithms like particle swarm optimization, whale optimization algorithm, grey wolf optimizer, and moth flame optimization often face challenges in balancing exploration and exploitation, leading to suboptimal performance. …”
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Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

“…However, existing works on DV-Hop localization algorithm held onto the assumption that the placement of sensor nodes has been pre-determined before they are being distributed. …”
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Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study by Li Yu Yab, Li Yu Yab, Wahid, Noorhaniza, A Hamid, Rahayu

“…—Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. …”
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