Presentation 2004-11-05
Anomalous Signal Detection Using Multi-layer Neural Network for Electromagnetic Wave Radiation
Akitoshi ITAI, Hiroshi YASUKAWA, Ichi TAKUMI, Masayasu HATA,
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Abstract(in English) It is well known that the electromagnetic waves that radiate from the earth's crust are useful for predieting earthquakes. We observe electromagnetic waves in the Extremely Low Frequency(ELF) band of 223Hz. 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 a compression data for precursor signal detection. Input data are reduced by 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.
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Keyword(in English) electromagnetic wave / anomalous signal detection / neural network / signal processing
Paper # CAS2004-56,CST2004-35
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Committee CST
Conference Date 2004/10/29(1days)
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Registration To Concurrent System Technology (CST)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Anomalous Signal Detection Using Multi-layer Neural Network for Electromagnetic Wave Radiation
Sub Title (in English)
Keyword(1) electromagnetic wave
Keyword(2) anomalous signal detection
Keyword(3) neural network
Keyword(4) signal processing
1st Author's Name Akitoshi ITAI
1st Author's Affiliation Aichi prefectural University()
2nd Author's Name Hiroshi YASUKAWA
2nd Author's Affiliation Aichi prefectural University
3rd Author's Name Ichi TAKUMI
3rd Author's Affiliation Nagoya Institute of Technology
4th Author's Name Masayasu HATA
4th Author's Affiliation Collage of Engineering, Chubu University
Date 2004-11-05
Paper # CAS2004-56,CST2004-35
Volume (vol) vol.104
Number (no) 405
Page pp.pp.-
#Pages 6
Date of Issue