Search Results - (( java implementation path algorithm ) OR ( programming gain efficient algorithm ))

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  1. 1

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
  2. 2

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
  3. 3

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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    Article
  4. 4

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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    Thesis
  5. 5

    Simultaneous Network Reconfiguration and DG Sizing Using Evolutionary Programming and Genetic Algorithm to Minimize Power Losses by Dahalan, W.M., Mokhlis, Hazlie, Ahmad, R., Bakar, Ab Halim Abu, Musirin, I.

    Published 2014
    “…This paper presents an effective method based on Evolutionary Programming (EP) and Genetic Algorithm (GA) to identify the switching operation plan for feeder reconfiguration and distributed generation size simultaneously. …”
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    Article
  6. 6

    Coordination of PSS and PID controller for power system stability enhancement - overview by Kasilingam G., Pasupuleti J.

    Published 2023
    “…This paper broadly reviews the optimization methods and algorithms such as Conventional methods, Soft Computing, Genetic Algorithm (GA), Evolutionary Programming (EP), Differential Evolution (DE) and Swarm Intelligence methods were available for tuning the PID gains and PSS parameters successfully. …”
    Article
  7. 7

    Long-term rain attenuation probability and site diversity gain prediction formulas by Al-Tabatabaie, Kusay Faisal A.

    Published 2007
    “…It includes the designing of algorithm flow which incorporated into MATLAB programming software. …”
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    Thesis
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  9. 9

    An analysis on the applicability of meta-heuristic searching techniques for automated test data generation in automatic programming assessment by Musa, Ja’afar, Romli, Rohaida, Yusoff, Nooraini

    Published 2019
    “…Automatic Programming Assessment (APA) has been gaining lots of attention among researchers mainly to support automated grading and marking of students’ programming assignments or exercises systematically. …”
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    Article
  10. 10

    A framework for GPU-accelerated AES-XTS encryption in mobile devices by Alomari, Mohammad Ahmed, Samsudin, Khairulmizam

    Published 2011
    “…Recently, GPUs have presented higher performance for parallel programming than conventional CPUs while they continue gaining reduced cost. …”
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    Conference or Workshop Item
  11. 11

    An efficacious multi-objective fuzzy linear programming approach for optimal power flow considering distributed generation by Warid Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    Published 2016
    “…An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. …”
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    Article
  12. 12

    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses by Sadrnia, Abdolhossein, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar, Zulkifli, Norzima, Boyer, Omid

    Published 2014
    “…Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. …”
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    Article
  13. 13

    Security analysis of data transmission in an IoT based platform for telemedicine by Olanrewaju, Rashidah Funke, Amuda, Idowu Rahaman, Hassan Abdalla Hashim, Aisha

    Published 2021
    “…Using less power, the proposed architecture is implemented based on python programming language, thereby improving time and power requirements compared to the traditional algorithm. …”
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    Article
  14. 14

    New reflector shaping methods for dual-reflector antenna by Quzwain, Kamelia, Yamada, Yoshihide, Kamardin, Kamilia, Abd Rahman, Nurul Huda, Ismail, Alyani

    Published 2022
    “…First, the equivalent parabola and circle equation is implemented in the reflector shaping algorithms. Second, a Matrix Laboratory (MATLAB) program is developed in order to obtain the main and sub reflector shapes. …”
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    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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    Thesis
  17. 17

    Comparative Analysis Using Bayesian Approach To Neural Network Of Translational Initiation Sites In Alternative Polymorphic Contex by Herman, Nanna Suryana, Husin, Nurul Arneida, Hussin, Burairah

    Published 2012
    “…The objectives of this paper are to develop useful algorithms and to build a new classification model for the case study.The first approach of neural network includes training on algorithms of Resilient Backpropagation,Scaled Conjugate Gradient Backpropagation and Levenberg-Marquardt.The outputs are used in comparison with Bayesian Neural Network for efficiency comparison.The results showed that Resilient Backpropagation have the consistency in all measurement but performs less in accuracy.In second approach,the Bayesian Classifier_01 outperforms the Resilient Backpropagation by successfully increasing the overall prediction accuracy by 16.0%.The Bayesian Classifier_02 is built to improve the accuracy by adding new features of chemical properties as selected by the Information Gain Ratio method,and increasing the length of the window sequence to 201.The result shows that the built model successfully increases the accuracy by 96.0%.In comparison,the Bayesian model outperforms Tikole and Sankararamakrishnan (2008) by increasing the sensitivity by 10% and specificity by 26%. …”
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    Article
  18. 18

    A study on the significance of backlash width values to the performance of the MIQP-based design of MPC by H., Zabiri, Y., Samyudia

    Published 2005
    “…An approach that has been recently developed involved the integration of the actuator backlash within the framework of Model Predictive Control (MPC) controller algorithm itself. This method, so-called the Mixed-Integer Quadratic Programming (MIQP)-based design of MPC, has been shown through extensive simulation on industrial case studies to be able to handle efficiently actuator saturation and actuator backlash nonlinearities simultaneously. …”
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    Conference or Workshop Item
  19. 19

    An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks by Ghaleb, Abdulziz M., Mansoor, Ali Mohammed, Ahmad, Rodina

    Published 2018
    “…We formulate an optimization problem for UC as a mixed linear integer programming (MILP) that minimizes the total power consumption (Energy Efficiency) while respecting the data rate per user and propose a low complexity iterative algorithm to user terminal (UE)-eNodeB association. …”
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    Article
  20. 20

    Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

    Published 2004
    “…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. Equipped with knowledge on optimal preview control obtained from [1], the initial weights of linear and nonlinear neural controller are initialized to the optimal gains. …”
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    Final Year Project