Search Results - motion optimization ((((method algorithm) OR (sensor algorithm))) OR (mead algorithm))

Refine Results
  1. 1

    Investigation of the optimal sensor location and classifier for human motion classification by Anuar, Mohamed, Nur Aqilah, Othman, Hamzah, Ahmad, Mohd Hasnun Ariff, Hassan

    Published 2022
    “…However, the optimal location of sensor placement on the body to record the motion in daily activities has not been well understood. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2
  3. 3

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
    Get full text
    Get full text
    Thesis
  4. 4

    ANALYZING ACCELEROMETER AND GYRO SENSOR DATA FOR ACCURATE TURNING MOTION by HO , DEREK YONG HON

    Published 2019
    “…The application of IMU sensor with Madgwick algorithm for sensor data enable the use of this sensor with low computational load involved able to achieve real-time functionality for autonomous vehicle locomotion.…”
    Get full text
    Get full text
    Final Year Project
  5. 5

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…These robots are commonly operated using knobs, joysticks or wearable motion sensors. These modes of operation either require a skilled operator or hinder the natural movement. …”
    Get full text
    Get full text
    Thesis
  6. 6

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Error driven Fuzzy Logic Controller (FLC) for spherical mobile robot: simulation & experimental performance analysis by Kamis, Nurul Nafisah, Ahmad, Salmiah, Embong, Abd Halim, Sulaeman, Erwin

    Published 2022
    “…The performance of the controller was then optimized by tuning the input and output gain of the controller with Particle Swarm optimization (PSO) method. …”
    Get full text
    Get full text
    Proceeding Paper
  8. 8

    Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification by Abdul Wahit, Mohamad Aizat

    Published 2019
    “…In another hand, the movement accuracy analysis of the hand robot motion range was performed by comparing the expected motion range and the motion range achieved by 3D printed hand robot. …”
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11

    A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller by Raihan, Mohamad Norherman Shauqie Mohamed

    Published 2021
    “…Therefore, an optimization algorithm based on the explosion method called REA was proposed and implemented on the proposed Hybrid PD2-LQR control structure. …”
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20

    Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

    Published 2011
    “…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
    Get full text
    Get full text
    Get full text
    Monograph