Search Results - (( developing consumer control algorithm ) OR ( java code classification algorithm ))

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  1. 1

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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    Article
  2. 2

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
  3. 3

    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

    Published 2006
    “…Shewhart Control Chart (SCC) and Range Control Chart (RCC) are used with the developed correlation coefficients for FDD. …”
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    Monograph
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    Design high frequency surgical robot controller: design FPGA-based controller for surgical robot manipulator simscape modeling by Taghizadegan, Ali, Piltan, Farzin, Sulaiman, Nasri B.

    Published 2016
    “…To design PID type FPGA-based controller two types algorithm are needed: derivative algorithm and integral algorithm. …”
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    Article
  8. 8

    Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima by Sulaima, Mohamad Fani

    Published 2020
    “…A novel method was developed by integrating a modified energy audit procedure with decision tree technique to determine the percentage of controlled loads available for LM, and the optimal LM weightage. …”
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    Thesis
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    Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz by Abdul Aziz, Nurizzati

    Published 2016
    “…This study presents the development of Firefly Algorithm-based Sizing Algorithm, known as FASA for sizing optimization of SAPV systems. …”
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    Thesis
  11. 11

    Firefly algorithm for optimal sizing of stand-alone photovoltaic system / Nur Izzati Abdul Aziz by Abdul Aziz, Nur Izzati

    Published 2016
    “…This study presents the development of firefly algorithm-based sizing algorithm, known as FASA for sizing optimization of SAPV systems. …”
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    Thesis
  12. 12

    Reinforced learning algorithm for efficient energy tracking in peer-to-peer energy trading by Ahmad Tajuddin, Ahmad Haikal Firdaus, Mohamad Hanif, Noor Hazrin Hany, Danial Norizal, Muhammad Hafidzuddin Hanif

    Published 2025
    “…Firstly, we developed a reinforcement learning system based on the Q-Learning algorithm, tailored to handle and control the erratic nature of solar energy production and variable consumption patterns from consumers. …”
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    Proceeding Paper
  13. 13

    Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm by Hadi, Mahmaad Khalid

    Published 2016
    “…The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. …”
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    Thesis
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    Switching Time Optimization via Time Optimal Control for Natural Gas Vehicle Refueling by Mahidzal Dahari, Mahidzal

    Published 2007
    “…The implementation of Natural Gas Vehicle (NGV) refueling system using multipressure storage source requires a suitable controller to be developed. In this thesis, a refueling algorithm using Time Optimal Control (TOC) technique is proposed as a basis for determining the optimal switching time in NGV refueling using the mass and mass flowrate as the state variables, measured using Coriolis flowmeter. …”
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    Thesis
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    Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

    Published 2024
    “…Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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    Conference or Workshop Item
  18. 18

    Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

    Published 2024
    “…Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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    Conference or Workshop Item
  19. 19

    Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

    Published 2024
    “…Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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    Conference or Workshop Item
  20. 20

    Stochastic optimized intelligent controller for smart energy efficient buildings by Shaikh, P.H., Nor, N.B.M., Nallagownden, P., Elamvazuthi, I.

    Published 2014
    “…In this study, multi-agent control system has been developed in combination with stochastic optimization using genetic algorithm (GA). …”
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    Article