NDLI: Anomalous signal detection using multi-layer neural network for electromagnetic wave radiation

Content Provider	IEEE Xplore Digital Library
Author	Itai, A. Yasukawa, H. Takumi, I. Hata, M.
Copyright Year	2004
Description	Author affiliation: Aichi Prefectural Univ., Nagakute, Japan (Itai, A.; Yasukawa, H.)
Abstract	It is well known that the electromagnetic waves that radiate from the Earth's crust are useful for predicting earthquakes. We observe electromagnetic waves in the extremely low frequency (ELF) band of 223 Hz. These observed signals contain several undesired signals due to fluctuations in the magnetosphere or the ionized layer, lightning radiation from the tropics, and so on. This paper proposes a multi-layer neural network using compression data for precursor signal detection. Input data are reduced by the wavelet transform. Moreover, we discuss an implementation of the hidden layer. It is shown that the proposed neural network is useful for precursor signal detection.
Sponsorship	IEEE
Starting Page	776
Ending Page	780
File Size	1185421
Page Count	5
File Format	PDF
ISBN	0780386396
DOI	10.1109/ISPACS.2004.1439165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal detection Multi-layer neural network Electromagnetic scattering Electromagnetic radiation Earth Earthquakes Frequency Ground penetrating radar Geophysical measurement techniques Fluctuations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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