Search Results - (( using vector sensor algorithm ) OR ( parameter optimization based algorithm ))

Refine Results
  1. 1

    Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi by Mazhar, Hussain Abbasi

    Published 2013
    “…Simulation is done by using the observer which uses optimal feedback gain as an example of process from algorithm design to verification of logic. …”
    Get full text
    Get full text
    Thesis
  2. 2

    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah

    Published 2022
    “…In accordance with the result, this article proposes a novel chew count estimation based on particle swarm optimization (PSO). First, the base of the algorithm is developed based on counting the peak of the chewing signal. …”
    Get full text
    Get full text
    Article
  3. 3

    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom

    Published 2022
    “…In accordance with the result, this article proposes a novel chew count estimation based on particle swarm optimization (PSO). First, the base of the algorithm is developed based on counting the peak of the chewing signal. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Activity recognition using optimized reduced kernel extreme learning machine (OPT-RKELM) / Yang Dong Rui by Yang , Dong Rui

    Published 2019
    “…One of the major research problems is the computation resources required by machine learning algorithm used for classification for HAR. Numerous researchers have tried different methods to enhance the algorithm to improve performance, some of these methods include Support Vector Machine (SVM), Decision Trees, Extreme Learning Machine (ELM), Kernel Extreme Learning Machine (KELM), and Deng’s Reduced Kernel Extreme Learning Machine (RKELM). …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    Tailoring the energy harvesting capacity of zinc selenide semiconductor nanomaterial through optical band gap modeling using genetically optimized intelligent method by Olubosede, Olusayo, Abd Rahman, Mohd Amiruddin, Alqahtani, Abdullah, Souiyah, Miloud, Latif, Mouftahou B., Oke, Wasiu Adeyemi, Aldhafferi, Nahier, Owolabi, Taoreed O.

    Published 2021
    “…This present work provides novel ways whereby the wide energy band gap of zinc selenide can be effectively modulated and tuned for light energy harvesting capacity enhancement by hybridizing a support vector regression algorithm (SVR) with a genetic algorithm (GA) for parameter combinatory optimization. …”
    Get full text
    Get full text
    Article
  6. 6

    DC-based PV-powered home energy system by Sabry, Ahmad H.

    Published 2017
    “…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

    Published 2015
    “…Distance Vector-Hop (DV-Hop) algorithm has become the focus of studies for range-free localization algorithms. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space by Zahari, Ammar, Ismail , Amelia Ritahani, Desia, Recky

    Published 2015
    “…This research explores path integration in mobile robot navigation and path optimization technique using vector calculus. A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks by Zazali, Azyyati Adiah, Subramaniam, Shamala, Ahmad Zukarnain, Zuriati

    Published 2020
    “…Distance Vector-Hop (DV-Hop) localization is a distributed, hop by hop positioning algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Performance comparison of AODV, DSDV and EE-DSDV routing protocol algorithm for wireless sensor network by Norhizat, Mohd Taufiq, Ishak, Zulkifli, Sauti, Mohd Suhaimi, Jamaludin, Md Zaini

    Published 2009
    “…This paper describes a preliminary study on wireless sensor network (WSN) routing protocol algorithm with focus on energy saving strategy.Efficient energy saving and consumption will ensure the lifespan of the battery are prolonged and the delay of transmitting data will be within the acceptable range of 300 meter by 300 meter network size.The routing protocol Ad-hoc On Demand Distance Vector (AODV), Destination Sequence Distance Vector (DSDV) and Energy Efficient Destination Sequence Distance Vector (EE-DSDV) were used in the study to compare the performance of the network in terms of maximum delay, throughput receive as well as the remaining energy in the network.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, X., Mohammadi, A., Premkumar, A.B., Asif, A.

    Published 2015
    “…Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
    Get full text
    Get full text
    Thesis
  13. 13

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Finite impulse response optimizers for solving optimization problems by Ab Rahman, Tasiransurini

    Published 2019
    “…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Finite impulse response optimizers for solving optimization problems by Tasiransurini, Ab Rahman

    Published 2019
    “…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17
  18. 18

    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

    Published 2020
    “…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
    Get full text
    Get full text
    Article
  20. 20

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). …”
    Get full text
    Get full text
    Undergraduates Project Papers