Search Results - (( java implication based algorithm ) OR ( dynamic simulation method algorithm ))

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    Simulation Algorithm That Conserves Energy and Momentum for Molecular Dynamics of Systems Driven by Switching Potentials by Jesudason, C.G.

    Published 2009
    “…Whenever there exists a crossover from one potential to another, computational problems are introduced in Molecular Dynamics (MD) simulation. These problem are overcome here by an algorithm, described in detail. …”
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    Simulation Based Analysis of Kinematics, Dynamics and Control of Space Robots by Sultana, Shafina

    Published 1996
    “…A PD control law was used with the simulation test to identify the dynamic parameters. …”
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    Thesis
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    Comparative analysis of spiral dynamic algorithm and artificial bee colony optimization for position control of flexible link manipulators by Nor Maniha, Abdul Ghani, Nizaruddin, M. Nasir, Azrul Azim, Abdullah Hashim

    Published 2024
    “…Interestingly, the manipulator's behaviours using the spiral dynamics algorithm for PID controller tuning were superior to those using alternative methods. …”
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    Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm by Kasim Hawari, Mohd Zarifitri

    Published 2023
    “…The proposed method is validated in simulations and proven to work effectively in different environments for different obstacle percentages of each investigation conducted to replicate a semi-dynamic obstacle environment. …”
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    Thesis
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    New algorithm for autonomous dynamic path planning in real-time intelligent robot car by Mohammed, Akeel Ahmed, Hassan, Mohd Khair, Aris, Ishak, Kamsani, Noor Ain

    Published 2017
    “…The simulation showed that the proposed algorithm provides robot car a collision-free path from single- and multi-start point to a target point in an environment with static and moving obstacles. …”
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    Identification algorithms of flexible structure using neural networks by Ismail, R., Ismail, A. Y., Mat Darus, I. Z.

    Published 2006
    “…Furthermore, non-parametric models of the system are developed using Multi-layer Perceptron Neural Networks (MLP-NN) and Elman Neural Networks (ENN). A simulation algorithm of the plate is developed through a discretisation of the governing partial differential equation formulation of the plate dynamics using finite difference methods. …”
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    Conference or Workshop Item
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    Development of optimization Alghorithm for uncertain non-linear dynamical system by Abdul Aziz, Mohd. Ismail, Yaacob, Nazeeruddin, Mohd. Said, Norfarizan, Hamzah, Nor Hazadura

    Published 2004
    “…An algorithm that definitely can satisfy the objectives is the Dynamic Integrated Systems Optimization and Parameter Estimation (DISOPE) algorithm. …”
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    Monograph
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    Modelling of multi-robot system for search and rescue by Poy, Yi Ler

    Published 2023
    “…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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    Final Year Project / Dissertation / Thesis
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    Designing agent-based modeling in dynamic crowd simulation for stressful environment by Abu Bakar, Juliana Aida, Che Mat, Ruzinoor, Ab. Aziz, Azizi, Noor Jasri, Norsyazatul Asyifa, Yusoff, Mohd Fitri

    Published 2016
    “…In modeling stress response, a method based on well-established theory of Generalized Adaptation Syndrome (GAS) has been developed to simulate the dynamic behavior of the crowd.However, there is still lacking of method to address the way virtual agent interacts with the instant changing behavior of the crowd during stressful events.This study were review current work on modelling stress and stress behavior models and extends it into the area of crowd simulation to simulate the behavior of the stress response of virtual agent during stressful events.It attempts to look into the solution of the problem and utilized a method based on the psychological theory of GAS to develop an algorithm for responsive virtual agent under stressful events by determining the dynamic behavior.…”
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    Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation by Shamsiah, Suhaili, Norhuzaimin, Julai, Asrani, Lit, Maimun Binti, Huja Hussin, Mohamad Faizrizwan bin, Mohd Sabri

    Published 2022
    “…State encoding is a method used in reducing power design strategies that have been proposed to lower the dynamic power dissipation of the algorithm. …”
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    Proceeding
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    Hybrid Cat Swarm Optimization and Simulated Annealing for Dynamic Task Scheduling on Cloud Computing Environment by Gabi, Danlami, Ismail, Abdul Samad, Zainal, Anazida, Zakaria, Zalmiyah, Al-Khasawneh, Ahmad

    Published 2018
    “…In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. In the proposed method, the orthogonal Taguchi approach is applied to enhance the SA which is incorporated into the local search of the proposed CSMCSOSA algorithm for scalability performance. …”
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    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

    Published 2017
    “…Then, it is tested on the FPGA using the properties of hardware co-simulation method. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm and compared against the manual calculation.…”
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    Thesis
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    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2023
    “…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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    A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2023
    “…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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    Article