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
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