Search Results - (( re evaluation a algorithm ) OR ( parameters location based algorithm ))*

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  1. 1

    Evaluation of lightning current parameters using measured lightning induced voltage on distribution power lines by Izadi M., Kadir M.Z.A.A., Osman M.

    Published 2023
    “…Electromagnetic fields; Parameter estimation; Channel base current; Electromagnetic field components; Lightning current parameters; Lightning induced voltage; Lightning location; Lightning location systems; Overhead distribution line; Performance of algorithm; Lightning…”
    Conference Paper
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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

    Published 2011
    “…This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. …”
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    Thesis
  4. 4

    Evaluation of lightning current parameters using measured lightning induced voltage on distribution power lines by Izadi, Mahdi, Ab Kadir, Mohd Zainal Abidin, Osman, Miszaina

    Published 2019
    “…In this paper, an algorithm had been proposed to evaluate the lightning current parameters using measured voltage from overhead distribution lines based on lightning location obtained from lightning location system. …”
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    Conference or Workshop Item
  5. 5

    Enhanced location and positioning in wimax networks with virtual mimo base station by Othman, Muhammad Hakim

    Published 2015
    “…The SMBS algorithm with virtual base station utilizes both AOA and AOD measurement parameter (SMVirBS). …”
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    Thesis
  6. 6

    Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System by Azmi, Awang Md Isa, Mustafa H., Othman, Zahariah, Manap, Mohd Sa'ari, Mohamad Isa, Mohd Shahril Izuan, Mohd Zin, Mohd Shakir, Md Saat, Zahriladha, Zakaria

    Published 2016
    “…This algorithm based on the angle of arrival (AOA) and angle of departure (AOD) measurement parameter completed the new SMBS algorithm with virtual base station (SMVirBS). …”
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    Article
  7. 7

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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    Article
  8. 8

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…For horizontal localisation, different algorithm based on multi-class k-nearest neighbour classifiers with optimisation parameter is presented. …”
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    Thesis
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    Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network by Ali, M.S., Bakar, Ab Halim Abu, Tan, Chia Kwang, Mokhlis, Hazlie, Arof, Hamzah

    Published 2016
    “…Detecting high impedance faults in a distribution network is a great challenge and locating one is even more challenging. This paper will present an enhanced high impedance fault location algorithm based on the database technique. …”
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    Article
  11. 11

    Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie by Tan, Feng Jie

    Published 2019
    “…However it is widely reported that the accuracy of impedance-based fault location methods is influenced by a number of system parameters. …”
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    Thesis
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    Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network by Hassan, L.H., Moghavvemi, M., Almurib, H.A.F., Steinmayer, O.

    Published 2013
    “…The GA is applied to find the optimal location of the UPFC and to tune its control parameters under different operating conditions. …”
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    Article
  15. 15

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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    Article
  16. 16

    Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes by Onabajo, Olawale Olusegun, Tan, Chong Eng

    Published 2013
    “…The algorithm design covers one year period and is based on the Digital Elevation Model (DEM) of the location under investigation. …”
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    Article
  17. 17

    Particle filter approach for tracking indoor user location using IEEE 802.11 signals by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Latiff , N. H. M.

    Published 2011
    “…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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    Article
  18. 18

    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems by Homayouni, Seyed Mahdi

    Published 2008
    “…A genetic algorithm is developed to tune the membership functions (MFs) of input variables of GDF and GSF controllers. …”
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    Thesis
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    Dynamic layout algorithms for wireless field hockey strategy system by Canda, Roger, K. Subramaniam, Shamala, A., Amri

    Published 2011
    “…The proposed algorithm utilized for determining the location of field hockey players overcomes the constraints and confined anchor based WiHoc Ver 1.0. …”
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    Conference or Workshop Item
  20. 20

    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

    Published 2019
    “…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
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    Thesis