Search Results - (( using factor path algorithm ) OR ( program implementation using algorithm ))

Search alternatives:

Refine Results
  1. 1
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh, Johnny Siaw Paw, Aris, Ishak, Ramachandaramurthy, Vigna Kumaran, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce

    Published 2006
    “…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
    Article
    Save to List
    Saved in:
  4. 4
    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
    Article
    Save to List
    Saved in:
  5. 5
    Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo

    Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo by Aditia Wirawan, Abdullah Adib, Mohd Redzo, Nur Suhana

    Published 2024
    “…The instructor's methodology also guides the students in teaching and learning programming language using the Logic Learning method in the game. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  6. 6
    A-star (A*) algorithm implementation for robotics path planning navigation

    A-star (A*) algorithm implementation for robotics path planning navigation by Emirul Ridzwan, Nor Azmi

    Published 2018
    “…This thesis is about the implementation of Astar (A*) algorithm as path planning algorithm used in robotics navigation. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  7. 7
    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries

    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries by Fadzli, S.A., Abdulkadir, S.I., Makhtar, M., Jamal, A.A.

    Published 2016
    “…The path computed using the classic Dijkstra's algorithm is the shortest; however, it may not be the most feasible. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  8. 8
    New algorithm for autonomous dynamic path planning in real-time intelligent robot car

    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
    “…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm

    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm by Krishnan P.S., Paw J.K.S., Kiong T.S.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  10. 10
    A Continuous Overlay Path Probing Algorithm For Overlay Networks

    A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

    Published 2013
    “…Several experiments were carried out using the OMNeT++ simulation framework. The designed algorithm was evaluated using experimental data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control

    Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control by Srazhidinov, Radik

    Published 2016
    “…However, this assumption may lead to inaccurate secondary path model. In this work, the modelling of acoustic path using FIR filters is incorporated for both algorithms for Wiener-Hammerstein structure. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    A Novel Path Prediction Strategy for Tracking Intelligent Travelers

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm

    Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm by Ahmad, Javed, Ab Wahab, Mohd Nadhir, Ramli, Ahmad, Misro, Md Yushalify, Ezza, Wan Zafira, Wan Hasan, Wan Zuha

    Published 2025
    “…Experiments were carried out in four different layouts related to path-planning environments, and comparisons were made with various existing path-planning algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming

    Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  15. 15
    Indoor navigation system using Dijkstra’s algorithm for emergency situation: article / Mohd Faizulhayad Mashuri

    Indoor navigation system using Dijkstra’s algorithm for emergency situation: article / Mohd Faizulhayad Mashuri by Mashuri, Mohd Faizulhayad

    Published 2015
    “…Route planning using Dijkstra’s algorithm can produce better accuracy and more reliable in indoor environment since the only factor taken into account is the weight for each path.…”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway

    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

    Published 2023
    “…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Path planning for autonomous navigation in roundabouts using an improved triangular based polynomial estimation technique for bezier curve generation with aa and aa* algorithms

    Path planning for autonomous navigation in roundabouts using an improved triangular based polynomial estimation technique for bezier curve generation with aa and aa* algorithms by Sajith Akhil, Vinayak

    Published 2023
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Implementation of autonomous vehicle navigation algorithms using event-driven programming

    Implementation of autonomous vehicle navigation algorithms using event-driven programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  19. 19
    Reducing Iteration Using Candidate List

    Reducing Iteration Using Candidate List by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2008
    “…The principle of cooperation and the behavior of a single ant finding path has been the backbone in this algorithmic development. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  20. 20
    Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah

    Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah by Wan Ngah, Wan Ahmad Jailani

    Published 2013
    “…PointsBug is then compared with TangentBug because it is the best among The Bug Algorithm family using the range sensor for distance, duration, speed and reachability.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: