Search Results - (( error reduction using algorithm ) OR ( java application optimization algorithm ))

Refine Results
  1. 1
  2. 2

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
    Get full text
    Get full text
    Conference or Workshop Item
  3. 3

    Real-time time series error-based data reduction for internet-of-things applications by Wong, Siaw Ling

    Published 2018
    “…This work differs from existing PIP in the sense that, we have devised a real-time data reduction algorithm namely error-based PIP Data Reduction (PIPE), that operates with a single value configuration; error rate, which can be used with various sensor data without any priori analysis required. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  4. 4

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
    Get full text
    Get full text
    Final Year Project
  5. 5

    Design of super twisting algorithm for chattering suppression in machine tools by Chiew, Tsung Heng, Jamaludin, Zamberi, Bani Hashim, Ahmad Yusairi, Abdullah, Lokman, Rafan, Nur Aidawaty

    Published 2017
    “…Fast Fourier Transform was applied on the control inputs to investigate the chattering amplitude and root mean square of the tracking error was used as performance indicator for tracking error reduction. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  6. 6
  7. 7

    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks by Husni, Muhammed Ihsan

    Published 2018
    “…The selected algorithms for the reduction algorithm in the transmissions include Move Average algorithm (MA), Autoregressive all-pole model parameters — Burg’s algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Schelkunoff array synthesis methods using adaptive-iterative algorithm by Abdul Latiff, Nurul Mu'azzah

    Published 2003
    “…The adaptive-iterative algorithm is an error-reduction algorithm that has been extensively studied in recent years. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11

    Adaptive interference canceller using analog algorithm with offset voltage by Mohammed, Alaa Hadi

    Published 2015
    “…The experimental tests of the proposed algorithm have shown that the reduction percentage in the MSE output using the proposed algorithm is 51% compared to the NLMS algorithm and 61% compared to the RLS algorithm. …”
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13
  14. 14

    Position estimation comparison of a 3-D linear lateration algorithm with a reference selection technique by Yaro, A.S., Sha�Ameri, A.Z., Kamel, N.

    Published 2018
    “…Monte Carlo simulation result comparison shows that the four-GRS linear lateration algorithm with the GREPS technique outperformed the SF-TLS and MF-LS with a reduction in horizontal coordinate PE error of about 50 and 30 respectively, and with a 90 reduction in the altitude error. …”
    Get full text
    Get full text
    Article
  15. 15

    Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation by Zaini, Farah Anishah

    Published 2024
    “…Using the proposed hybrid method, LSSVM-IBFOA consistently achieves the most significant error reductions for each errors value based on the average of five day-types (Monday-Sunday), on the testing datasets for the years 2020 and 2021. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  16. 16

    Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron by Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2017
    “…Therefore, this research work proposes design and development of single-phase PV SAPF with a new DC-link capacitor voltage control algorithm named as indirect self- charging with step size error cancellation, and a new harmonics extraction algorithm named as simplified ADALINE. …”
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18

    Identification of material properties of composite plates using Fourier-generated frequency response functions by Tam, Jun Hui, Ong, Zhi Chao, Lau, Chun Lek, Ismail, Zubaidah, Ang, Bee Chin, Khoo, Shin Yee

    Published 2019
    “…The effectiveness of FRF error function in material identification consists in the trade-off range between those of natural frequency error function and mode shape error function with about 7% reduction in absolute relative error of the evaluated elastic moduli and shear modulus with respect to those of mode shape error function as well as approximately 25% reduction in absolute relative error of the identified Poisson's ratio with respect to that of natural frequency error function. © 2017, © 2017 Taylor & Francis Group, LLC.…”
    Get full text
    Get full text
    Article
  19. 19

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Optimization of super twisting sliding mode control gains using Taguchi method by Jamaludin, Zamberi, Chiew, Tsung Heng, Bani Hashim, Ahmad Yusairi, Rafan, Nur Aidawaty, Abdullah, Lokman

    Published 2018
    “…Experimental results with 95% confidence level identified gain L as the significant factor in minimizing chattering effect while both gains L and W were responsible in minimizing tracking error in optimum condition. Optimized algorithm achieved 9.3% of reduction in root mean square of tracking error and 38.4% of reduction in chattering experimentally.…”
    Get full text
    Get full text
    Get full text
    Article