Search Results - (( using electrode sensor algorithm ) OR ( based optimization based algorithm ))

Refine Results
  1. 1

    Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography by Tian, Wenbin, Ramli, Mimi Faisyalini, Yang, Wuqiang, Sun, Jiangtao

    Published 2020
    “…By simulation, it is found notably that the relaxation factor should be selected adaptively according to the sensor structure (e.g. the number of electrodes) and the permittivity distribution in capacitance measurements. …”
    Get full text
    Get full text
    Article
  2. 2

    Modeling and simulation of multi-plane Electrical Capacitance Tomography sensor for flow imaging by using Finite Element Analysis by Shafquet, A., Ismail, I., Jaafar, A.

    Published 2014
    “…This paper focuses on the need for field simulation in the design and analysis of multi-electrode capacitance sensors for tomographic flow imaging. …”
    Get full text
    Get full text
    Conference or Workshop Item
  3. 3

    MMS : mobile monitoring system using electrical capacitance tomography (ECT) by Abdul Rahim, Ruzairi, Chan, Kok Seong

    Published 2008
    “…The system however can be assembled in different diameter sizes of pipeline. and numbers of electrodes sensor can be reduced due to different size of pipeline without redesign the electrodes sensor. …”
    Get full text
    Get full text
    Monograph
  4. 4

    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

    Published 2016
    “…Although these signals are to some extent insulated by myelin, with the remarkable advancement in bio-sensors technology and standard recommendations in signal acquiring processing, it becomes affordable to acquire, analyze, interpret and use them to control robotic devices. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan by Adenan, Muhammad Nasrul Hakim

    Published 2013
    “…Ion Sensitive Field-Effect Transistor, which later in this paper will refer as ISFET is a kind of sensor that able to differentiate the ion by replacing the gate of the FET with electrode and the membrane. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli by Hakim Adenan, Muhammad Nasrul, Zolkapli, Maizatul

    Published 2013
    “…Ion Sensitive Field-Effect Transistor, which later in this paper will refer as ISFET is a kind of sensor that able to differentiate the ion by replacing the gate of the FET with electrode and the membrane. …”
    Get full text
    Get full text
    Article
  7. 7

    Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor by Kitagawa, Kodai, Matsumoto, Koji, Iwanaga, Kensuke, Ahmad, Siti Anom, Nagasaki, Takayuki, Nakano, Sota, Hida, Mitsumasa, Okamatsu, Shogo, Wada, Chikamune

    Published 2021
    “…Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. …”
    Get full text
    Get full text
    Article
  8. 8

    Opposition-based Whale Optimization Algorithm by Alamri, Hammoudeh S., Alsariera, Yazan A., Kamal Z., Zamli

    Published 2018
    “…In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…To overcome these drawbacks and to achieve an appropriate percentage of exploitation and exploration, this study presents a new modified teaching learning-based optimization algorithm called the fuzzy adaptive teaching learning-based optimization algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…The designed algorithms are implemented for EHD equations and their performance is evaluated by using different performance indicators. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    An introduction of two differential excitation potentials technique in electrical capacitance tomography by Mohamad, E.J., A. Rahim, R., Leow, P.L., Rahiman, M.H. Fazalul, Marwah, O.M.F., Nor Ayob, N.M., A. Rahim, H., Mohd Yunus, F.R.

    Published 2012
    “…Simulation is verified using available experimental data through the existing system, sixteen-segmented ECT sensor electrodes. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13
  14. 14

    Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem by Ismail, Ibrahim, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

    Published 2015
    “…In this study, rule-based multi-state gravitational search algorithm (RBMSGSA) algorithm is proposed to solve discrete combinatorial optimization problems. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  15. 15

    Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

    Published 2022
    “…Finally, a crowding distance and non-dominated-sorting-based multi-objective hybrid firefly & particle swarm optimization (MOHFPSO) algorithm is designed for MOOPF problems. …”
    Get full text
    Get full text
    Thesis
  16. 16

    An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP by Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Muzaffar Hamzah, Aida Mustapha, Angela Amphawan

    Published 2021
    “…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Metaheuristic multi-hop clustering optimization for energy-efficient wireless sensor network by Vincent Chung, Norah Tuah, Kit Guan Lim, Min Keng Tan, Ismail Saad, Kenneth Tze Kin Teo

    Published 2020
    “…Based on the performance evaluation, GACS outperforms both Genetic Algorithm (GA)-based cluster optimization algorithm and Cuckoo Search (CS)-based multi-hop optimization algorithm.…”
    Get full text
    Get full text
    Article
  18. 18

    Development of a Sensor to Detect Condensation of Super-Sonic Steam by Khan, A., Sanaullah, K., Ul Haq, N.

    Published 2013
    “…This paper explains the development and functioning of AC driven electrodes based sensor which is used for the study of condensation phenomena of steam. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm by Ullah, Wasif, Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2024
    “…This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
    Get full text
    Get full text
    Thesis