• DocumentCode
    2720657
  • Title

    Classification of Power Quality Disturbance Signals Using FFT, STFT, Wavelet Transforms and Neural Networks - A Comparative Analysis

  • Author

    Kasula, V.D.K.

  • Author_Institution
    Koneru Lakshmaiah Coll. of Eng., Guntur
  • Volume
    1
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    335
  • Lastpage
    340
  • Abstract
    This paper proposes a layered system model to bridge the gap between mobile and grid computing world. The model divides the complexities in mobile grid integration, among different components of different layers of the proposed model. In this model of the system we have an efficient algorithm which addresses the problem of scheduling and disconnection. The model proposes an algorithm to address resource scheduling problem and primarily focus on intermittent disconnections problem of the mobile devices, battery power and economy issues.
  • Keywords
    grid computing; mobile computing; resource allocation; scheduling; disconnection problem; grid computing; layered architecture; layered system model; mobile devices; resource scheduling algorithm; Bridges; Mobile computing; Neural networks; Power quality; Power system modeling; Processor scheduling; Scheduling algorithm; Signal analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.279
  • Filename
    4426603