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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  2. 2
    Multi-sources model and control algorithm of an energy management system

    Multi-sources model and control algorithm of an energy management system by Hannan, MA, Azidin, FA, Mohamed, Azah

    Published 2012
    “…The developed control strategies continuously support the EMS of the multiple sources of energy for a scooter under normal and heavy power load conditions. …”
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  3. 3
    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid

    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid by Hamid, Aminuddin

    Published 2015
    “…From the result analysis, the developed control algorithm shows that the realtime GRF measurement has the ability to enhance the AAFO functional performance and improve the patient gait.…”
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    Thesis
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  4. 4
    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop

    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop by Ayop, Nor Azura

    Published 2016
    “…Then, traffic is fitted to best traffic model and percentage level Policing and Shaping algorithm is developed to control the bandwidth used. …”
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    Thesis
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  5. 5
    A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system

    A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system by Guichi, Amar, Talha, Abdelaziz, Berkouk, El Madjid, Mekhilef, Saad, Gassab, Samir

    Published 2018
    “…This technique is based on the combination of two algorithms, the particle swarm optimization algorithm for tracking the global maximum power point, while a newly developed algorithm is used for attaining any other supervisory control set point. …”
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  6. 6
    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

    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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  7. 7
    QTCP: an optimized and improved congestion control algorithm of high-speed TCP networks

    QTCP: an optimized and improved congestion control algorithm of high-speed TCP networks by Qureshi, Barkatullah, Othman, Mohamed, K. Subramaniam, Shamala, Abdul Hamid, Nor Asilah Wati

    Published 2011
    “…A modified algorithm has been developed by using an additive increase approach to grow window with normal speed and to increase scalability by putting constant value of stability of timeline in congestion avoidance phase. …”
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  8. 8
    An Energy Management of Light Electric Vehicle

    An Energy Management of Light Electric Vehicle by Azidin, Farid Arafat, Hannan, Mahammad Abdul, Mohamed, Azah

    Published 2013
    “…In this paper, a state-based logic control algorithm is developed for a multi-source EMS for light electric vehicle, i.e.…”
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  9. 9
    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi

    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi by Azmi, Aini

    Published 2016
    “…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
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  10. 10
    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi

    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi by Azmi, Aini

    Published 2016
    “…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
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    Thesis
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  11. 11
    Neural network based model predictive control for a steel pickling process

    Neural network based model predictive control for a steel pickling process by Kittisupakorn, P., Thitiyasook, P., Hussain, Mohd Azlan, Daosud, W.

    Published 2009
    “…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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  12. 12
    Analysis of tumour control probability, normal tissue complication probability and isotoxic effects for prostate cancer

    Analysis of tumour control probability, normal tissue complication probability and isotoxic effects for prostate cancer by Fauzee, Nurnada Syahrain Mohd

    Published 2016
    “…The purpose of this study is to analyse the Tumour Control Probability (TCP), Normal Tissue Complication Probability (NTCP) and isotoxic effect for prostate cancer. …”
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    Monograph
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  13. 13
    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution: article / Nor Azura Ayop

    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution: article / Nor Azura Ayop by Ayop, Nor Azura

    Published 2016
    “…Then, traffic is fitted to best traffic model and percentage level Policing and Shaping algorithm is developed to control the bandwidth used. …”
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  14. 14
    Fault diagnostic algorithm for precut fractionation column

    Fault diagnostic algorithm for precut fractionation column by Heng, H. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2004
    “…The discriminator for the detection section is developed by using statistical techniques, where the control limits for each selected monitoring variable were represented in 'High', 'Normal', and 'Low' discrete. …”
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  15. 15
    A simulation study of a new rate-and-queue-based active queue management algorithm

    A simulation study of a new rate-and-queue-based active queue management algorithm by Ali Asghar, Jomah Adham, Razman, Mat Tahar

    Published 2012
    “…Thus, the main feature of the design is to use coefficients of both proportional rate control and proportional-integral queue length control, and to simplify parameter setting, the control parameters were scaled by the link capacity C to normalize the rate and by the bandwidth-delay product BDP to normalize the queue length, respectively.…”
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  16. 16
    Charge equalization controller algorithm for series-connected lithium-ion battery storage systems: Modeling and applications

    Charge equalization controller algorithm for series-connected lithium-ion battery storage systems: Modeling and applications by Hannan M.A., Hoque M.M., Ker P.J., Begum R.A., Mohamed A.

    Published 2023
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  17. 17
    DEVELOPMENT OF IRIS RECOGNITION SYSTEM

    DEVELOPMENT OF IRIS RECOGNITION SYSTEM by Mohd Kamarudin, Nur Eliza

    Published 2016
    “…The “objective of this” project “is to develop” a secure “iris recognition” algorithm for identification management and access control. …”
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    Final Year Project
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  18. 18
    Sliding Mode Speed Control for Induction Motor Drives with State-Dependent Gain Method

    Sliding Mode Speed Control for Induction Motor Drives with State-Dependent Gain Method by Sulaiman, Marizan, Ibrahim, Zulkifilie, Patakor, Fizatul Aini

    Published 2013
    “…The proposed algorithm and the vector control strategy are developed in digital signal processing board. …”
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  19. 19
    Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm

    Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm by Obaid, Zeyad Assi, Sulaiman, Nasri, Hamidon, Mohd Nizar

    Published 2009
    “…This paper proposes developed method to design a digital fuzzy logic controller with the aid of conventional Proportional – integral – derivative (PID) controller using field programmable gate array (FPGA). …”
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  20. 20
    Intelligent DNA signature detection for internet worms

    Intelligent DNA signature detection for internet worms by Ghazali, Osman

    Published 2011
    “…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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