Search Results - (( java application customization algorithm ) OR ( construct validity control algorithm ))

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  1. 1

    Strategies for effective value management practice in construction industry by Zulhkiple, A. Bakar

    Published 2017
    “…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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    Thesis
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    Transtheoretical model of change for weight control in Malaysian context by Chang, Ching Thon

    Published 2010
    “…Weight Efficacy Lifestyle Questionnaire (WELQ) was found to be applicable to measure Self-Efficacy construct of TIM. Scale validation obtained an I8-item, three subscales for WELQ. …”
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    Thesis
  4. 4

    System identification and pid control of toothbrush simulator system by Mohd Yusoff, Ainul Husna

    Published 2019
    “…The model has been validated through correlation analysis. The PID controller was tuned through the PID tuner and Ziegler-Nichols method. …”
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  5. 5

    Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control. by Sulaiman, Nasri, Piltan, Farzin, Jalali, Amin, Siamak, Sobhan, Nazari, Iman

    Published 2011
    “…The performance of the SISO VSC which controller coefficient is on-line tuned by fuzzy backstepping algorithm (FBSAVSC) is validated through comparison with VSC and proposed method. …”
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    Article
  6. 6

    Adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm for shunt active power filter operation by Abdul Rahman, Nor Farahaida, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

    Published 2016
    “…This controller inherits the simplest configuration; it is constructed using a single-input single-output fuzzy rule configuration. …”
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    Article
  7. 7

    Parametric system identification and active vibration control of vibrational structures using genetic algorithm by Mohammad Sofi @ Aziz, Azfi Zaihan

    Published 2007
    “…The sets of data obtained were utilised to develop ARX model using Least Squares (LS), Recursive Least Squares (RLS) and Genetic Algorithm (GA) methods. The models were validated using one step ahead (OSA) prediction, mean squared error (MSE) and correlation tests. …”
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    Thesis
  8. 8

    Reinforcement learning in risk management for pharmaceutical construction projects: frontiers, challenges, and improvement strategies by Junjia, Yin, Jiawen, Liu, Alias, Aidi Hizami, Haron, Nuzul Azam, Abu Bakar, Nabilah

    Published 2025
    “…Therefore, this paper reviews the practical applications of six algorithms—Deep Q-Network (DQN), Deep Deterministic Policy Gradient (DDPG), and Proximity Policy Optimization (PPO)—in construction safety, temperature control, resource scheduling, and automated equipment optimization, validating the potential of reinforcement learning to effectively manage dynamic risks through adaptive learning. …”
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    Article
  9. 9

    Variable Speed Control Of Two-Mass Wind Turbine System Via State Feedback With Adaptation Law by Mohamad Murad, Nor Syaza Farhana

    Published 2018
    “…Wind turbine convert kinetic energy from the wind to rotational energy and then to electrical energy.In a wind energy conversion system (WECS),its electrical power control (EPC) side demanded a maximum mechanical power from the mechanical power control (MPC) side despite any intermittent wind and seasonal interference.Therefore,it is necessary to develop a variable speed algorithm for a modern WECS.For a two-mass horizontal axis wind turbine, the rotor and generator stiffness is commonly being neglected in the system dynamic.The inclusion of stiffness in system dynamic introduces integral term in the system expression and hence,incur mathematical complexity in the controller design phase.Contrary,this study consider stiffness as unknown parameter in the wind turbine dynamic.In order to obtain the maximum output power,the design of an algorithm with adaptation law for the speed control of a two-mass wind turbine system with an unknown stiffness is proposed in this research.The algorithm is formulated using a full-state feedback.In pursuance of solving the tracking control as a regulation case,the speed of the turbine is bijective mapped into the error dynamic.The stability of the proposed algorithm is guaranteed by Lyapunov.The adaptation law used in the variable speed algorithm is to successfully acquire the adaptability of the algorithm towards an unknown stiffness.Therein,the estimated stiffness is augmented in the Lyapunov function.The Lie derivative of the function is made into a negative semi-definite via the non-negative control parameters.In order to control the rotor speed to sustain the optimum tip-speed ratio (TSR),as well as obtaining the maximum power output from the turbine,the proposed algorithm is constructed.A MATLAB with Simulink® toolbox is used to validate the effectiveness of the proposed control speed.The simulation result showed that the rotor speed achieved an asymptotic tracking towards the demanded rotor speed irrespective of the stiffness value.The error is proved to be minimized as the integral of absolute error (IAE) obtained for wind turbine with stiffness ranging from 134550 Nmrad-1,269100 Nmrad-1,and 403650 Nmrad-1 are recorded as 0.003088,0.003063 and 0.003088 respectively. …”
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  10. 10

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Harmony Search Approach In The Strut And Tie Model To Optimise The Stress Distribution In A Concrete Box Girder by Lim, Alice Pei San

    Published 2021
    “…Optimisation using metaheuristic algorithm could provide an alternative for more efficien t STM construction. …”
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    Final Year Project / Dissertation / Thesis
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    A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction by Hammid, Ali Thaeer, M. H., Sulaiman, Awad, Omar I.

    Published 2018
    “…The objective of this study, first, a firefly algorithm (FA) based on the k-fold cross-validation of BPNN has been suggested to predict data for keeping rapid learning and prevents the exponential increase in operating parts. …”
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    Article
  14. 14

    Optimization of medical image steganography using n-decomposition genetic algorithm by Al-Sarayefi, Bushra Abdullah Shtayt

    Published 2023
    “…To overcome these limitations, this study proposes a technique known as an n-decomposition genetic algorithm. This algorithm uses a variable-length search to identify the best location to embed the secret message by incorporating constraints to avoid local minimum traps. …”
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    Thesis
  15. 15

    Mitigation of harmonic current for balanced three-phase power system based on Extended Fryze Adaptive notch filter by Mohamad @ Abd Rahman, Syahrul Hisham, Mohd Radzi, Mohd Amran, Mailah, Nashiren Farzilah, Abd. Wahab, Noor Izzri, Jidin, Auzani

    Published 2023
    “…The algorithm's effectiveness in operation for the Shunt APF is validated through simulation using MATLAB/Simulink and experiment work by integrating the algorithm with DSPACE RS1104. …”
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  16. 16

    A three-level universal electric vehicle charger based on voltage-oriented control and pulse-width modulation by Al-Ogaili, Ali Saadon Mtair, Aris, Ishak, Verayiah, Renuga, Ramasamy, Agileswari, Marsadek, Marayati, Rahmat, Nur Azzammudin, Hoon, Yap, Aljanad, Ahmed, Al-Masri, Ahmed N.

    Published 2019
    “…Moreover, a laboratory prototype was constructed with a TMS320F28335 digital signal processor (DSP) programmed as the controller to validate its operation and performance. …”
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    Article
  17. 17

    Frit-based controller tuning of a dc-dc boost converter by Amirudin, Zulkepli

    Published 2022
    “…A Fictitious Reference Iterative Tuning is a data-driven controller tuning technique that uses one-shot experimental data to construct the input controller of an undefined plant model. …”
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    Undergraduates Project Papers
  18. 18

    Simulation and Development of Unified Power Flow Controller Using Multilevel Inverter by Mailah, Nashiren Farzilah

    Published 2010
    “…A small-scale laboratory model has also been constructed to validate the findings obtained from the simulation model. …”
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    A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain by Mohd Hussain, Mohd Najib

    Published 2016
    “…The criterion of maximum power produce from PV system is to produce the DC voltage from unregulated DC output voltage due to mismatch losses. Two control schemes; logic control and current closed-loop control are developed for retaining the required DC output voltage. …”
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    Thesis