Search Results - (( building information path algorithm ) OR ( power selection based algorithm ))

Refine Results
  1. 1

    High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm by Mohd Sabri, Nor Amalina

    Published 2015
    “…This research aims to assist the evacuees to find the shortest path in a high rise building using a shortest path algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm by Abu Samah, Khyrina Airin Fariza

    Published 2016
    “…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Modeling dynamic weight for 3D navigation routing by Musliman, Ivin Amri, Abdul Rahman, Alias, Coors, Volker

    Published 2007
    “…In this paper, an approach for finding shortest path or route in a dynamic situation for indoors and outdoors using Single Sink Shortest Path (SSSP) routing algorithm is proposed. …”
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    Wind power forecasting with metaheuristic-based feature selection and neural networks by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Mohammad Fadhil, Abas

    Published 2024
    “…The results show that the GA consistently outperforms other algorithms in selecting the most influential features, leading to improved precision in wind power predictions. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems by Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, M. Shah, Nor Shahida, A. Hamzah, Shipun, Nordin, Shahilah, Farah, Nabil

    Published 2021
    “…Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in massive MIMO systems. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6
  7. 7

    Map navigation for mobile tourist / Rohana Abd Jalil by Abd Jalil, Rohana

    Published 2007
    “…However, using this technology have some restricted because of the limited capabilities which it can not work properly inside buildings or in narrow path and light-based systems such as infrared beacon require a tight infrastructure. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi by Ujang, Muhamad Uznir

    Published 2008
    “…Hereby, the Dijkstra’s algorithm is tested with the developed 3D navigation network inside the building model. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10

    Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz by Abdul Aziz, Nurizzati

    Published 2016
    “…In addition, sizing algorithm with FA was also discovered to outperform sizing algorithm with selected computational intelligence, i.e. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12
  13. 13
  14. 14

    Load flow method using genetic algorithm by Lok, C. W., Zin, A. A. M., Mustafa, M. W., Lo, Kueiming Lun

    Published 2003
    “…Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. …”
    Get full text
    Conference or Workshop Item
  15. 15

    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…A PSO-based algorithm is adopted for the appropriate selection of dominated parameters of SVR-based model to achieve better performance. …”
    Get full text
    Get full text
    Get full text
    Thesis
  16. 16

    A real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

    Published 2017
    “…Methods/Analysis: In this work, the shortest path algorithm was chosen for series of buildings connected by a fiber-optic network. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

    Published 2010
    “…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
    Get full text
    Get full text
    Thesis
  18. 18

    Real-time power system dynamic security assessment based on advanced feature selection for decision tree classifiers by Al-Gubri, Qusay, Mohd Ariff, Mohd Aifaa

    Published 2017
    “…This paper proposed a novel algorithm based on advanced feature selection technique for decision tree (DT) classifier to assess the dynamic security in power system. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    A new framework for multi-partition finite state machine low power design based on genetic algorithm by Masoumidezfouli, Seyedhossein

    Published 2018
    “…Many researchers use a variety of algorithms to optimize a solution. Among these methods is the genetic algorithm (GA)-based optimization, that technique shows a high performance to reduce FSM power consumption. …”
    Get full text
    Get full text
    Thesis
  20. 20

    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

    Published 2017
    “…Electrical energy demand forecasting plays a pivotal role as a decision support tool in the modern power industry. The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. …”
    Get full text
    Get full text
    Article