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
Link To Document :
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