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Soft Computing Technique for Recognition of Earthquake Precursor from Low Latitude Total Electron Content (TEC) Profiles

by S. Kalita, M. Devi, A. K. Barbara, P. H. Talukdar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 17
Year of Publication: 2012
Authors: S. Kalita, M. Devi, A. K. Barbara, P. H. Talukdar
10.5120/6354-8775

S. Kalita, M. Devi, A. K. Barbara, P. H. Talukdar . Soft Computing Technique for Recognition of Earthquake Precursor from Low Latitude Total Electron Content (TEC) Profiles. International Journal of Computer Applications. 44, 17 ( April 2012), 11-14. DOI=10.5120/6354-8775

@article{ 10.5120/6354-8775,
author = { S. Kalita, M. Devi, A. K. Barbara, P. H. Talukdar },
title = { Soft Computing Technique for Recognition of Earthquake Precursor from Low Latitude Total Electron Content (TEC) Profiles },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 17 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number17/6354-8775/ },
doi = { 10.5120/6354-8775 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:48.013932+05:30
%A S. Kalita
%A M. Devi
%A A. K. Barbara
%A P. H. Talukdar
%T Soft Computing Technique for Recognition of Earthquake Precursor from Low Latitude Total Electron Content (TEC) Profiles
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 17
%P 11-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Total Electron Content (TEC) data from GPS are now used as tools for identifying an impending earthquake. The extraction of earthquake induced features from this parameter needs elaborate processing because it involves filtration of data with respect to disturbed day variations, contribution from multi path effects and also normal day-to-day fluctuations even during quiet days. In this paper we introduce, a peak detection algorithm, an automatic pattern matching approach and artificial neural network for processing GPS generated TEC record in where a template is framed from the time series of quiet day data for extraction of pre – seismic parameter. This matching algorithm is adopted to find deviation in TEC time series prior to an impending earthquake from the template and would be used as an index of earthquake induced signature. A few case studies using these techniques are presented in this paper. Work is based on TEC data collected from GPS at Gauhati (26º 10' N, 91º 45' E).

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Index Terms

Computer Science
Information Sciences

Keywords

Total Electron Content (tec) Gps Pattern Matching Algorithm Earthquake

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