Search Results - (( java implication _ algorithm ) OR ( software implementation model algorithm ))

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  1. 1

    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed by Mohamed, Mohamad Zuhairy

    Published 2008
    “…In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. …”
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    Student Project
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    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…This thesis describes original research in the field of software quality model by presenting a Feature Ranking Algorithm (FRA) for Pragmatic Quality Factor (PQF) model. …”
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    Thesis
  3. 3

    Cohesive token passing algorithm utilizing software agents by Abdulrazzak, A. Fua’ad, Subramaniam, Shamala

    Published 2010
    “…The developed software agent is utilized to implement prioritized token access subject to the traffic type. …”
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    Article
  4. 4

    IMPLEMENTATION OF NOISE CANCELLATION WITH HARDWARE DESCRIPTION LANGUAGE by SUN, LEE KUANG

    Published 2006
    “…Since filter is the important component in adaptive filtering process, the filter is designed first before adding adaptive algorithm. A Finite Impulse Response (FIR) filter is designed and the desired result of functional simulation and timing simulation is obtained through ModelSim and Integrated Software Environment (ISE) software and FPGA implementation. …”
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    Final Year Project
  5. 5

    Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition by Reyfill Konnik, Charlie Ivan

    Published 2014
    “…The software algorithm design can be broken into two parts; the navigation algorithm, which controls the movement of the actual robot, and the motor control algorithm, which provides for stability. …”
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    Final Year Project
  6. 6

    DESIGN AND IMPLEMENTATION OF RIPEMD-160 ALGORITHM ON RECONFIGURABLE HARDWARE by FLORISCA, ALDINA GODULUS

    Published 2019
    “…It is implemented using Verilog HDL software and simulated using the ModelSim software. …”
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    Final Year Project Report / IMRAD
  7. 7

    Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

    Published 2021
    “…The results indicated that although the software framework is easier than the programming platform for implementing the machine learning model, the results from the software framework were highly accurate and reliable. …”
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    Article
  8. 8

    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

    Published 2014
    “…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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    Article
  9. 9

    Imputing incomplete software metric database using iterative nearest neighbour based algorithm by Wasito, Ito, Ab. Azid, Nurul Farihan

    Published 2008
    “…Data sets are playing an important role not only for the construction of effort precision model but also in building software cost estimation models. …”
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    Article
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    Implementation of PRINCE algorithm in FPGA by Abbas Y.A., Jidin R., Jamil N., Z'aba M.R., Rusli M.E., Tariq B.

    Published 2023
    “…Algorithms; Application programs; Cryptography; Field programmable gate arrays (FPGA); Hardware; Hardware security; High speed cameras; Integrated circuit design; Logic Synthesis; Security of data; Throughput; Architectural modeling; Block ciphers; Cryptographic algorithms; Hardware implementations; PRINCE; Software implementation; Very high speed integrated circuits; VHDL; Computer hardware description languages…”
    Conference Paper
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    Development of android application for peninsular Malaysia GEOID height calculator / Mohamad Nazir Md Nazri by Md Nazri, Mohamad Nazir

    Published 2021
    “…Unfortunately, this software has many weaknesses, lack some features and most importantly, it does not provide geoid model specialized for Malaysia. …”
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    Thesis
  16. 16

    High performance visualization of human tumor growth software by Alias, Norma, Mohd. Said, Norfarizan, Khalid, Siti Nur Hidayah, Sin, Dolly Tien Ching, Phang, Tau Ing

    Published 2008
    “…This paper focuses on the implementation of parallel algorithm for the simulation of hyperbolic equation for breast pressure and parabolic equation of brain tumors growth. …”
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    Conference or Workshop Item
  17. 17

    Faculty timetabling using genetic algorithm by Liong, Boon Yaun

    Published 2011
    “…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
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    Undergraduates Project Papers
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    Object based segmentation and analysis using deep learning algorithm for cats and dogs images by N.Rajandhiran, Shreevishal

    Published 2023
    “…The Unet model built from scratch has observed an accuracy of 89.22% , while the pretrained Unet model has observed an accuracy of 89.68% and the Segnet model built from scratch observed an accuracy of 84.87% in delineating the cats and dogs as ROIs in the natural images dataset.…”
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    Final Year Project / Dissertation / Thesis