Presentation 2009-05-29
A Study on Anomalous Signal Detection from ELF Electromagnetic Wave Data Using HMM
Yoshinao ITO, Akitoshi ITAI, Hiroshi YASUKAWA, Ichi TAKUMI, Masayasu HATA,
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Abstract(in English) It is known that the detection of an anomalous signal radiated from the earth's crust is useful for predicting the precursor of the earthquakes. We observed the electromagnetic (EM) wave using the Extremely Low Frequency band. Various methods for detection of an anomalous signal have been proposed. Those methods have some problems. In this paper, we propose the anomalous signal detection based on HMM using the amplitude density distribution of an EM wave, which does not contain an anomalous signal. The input signals are calculated from the observed EM wave. An amplitude density distribution calculated from the image of an EM wave is employed as the input of HMM. The optimal input configuration of image to calculate amplitude density distribution for the detection of anomalous signal and the number of states of HMM are examined.
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Keyword(in English) electromagnetic wave / Hidden Markov Model / extremely low frequency band / amplitude density distribution / anomalous pattern detection / signal detection
Paper # EA2009-12,SIP2009-12,SP2009-17
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Committee SP
Conference Date 2009/5/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Study on Anomalous Signal Detection from ELF Electromagnetic Wave Data Using HMM
Sub Title (in English)
Keyword(1) electromagnetic wave
Keyword(2) Hidden Markov Model
Keyword(3) extremely low frequency band
Keyword(4) amplitude density distribution
Keyword(5) anomalous pattern detection
Keyword(6) signal detection
1st Author's Name Yoshinao ITO
1st Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University()
2nd Author's Name Akitoshi ITAI
2nd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
3rd Author's Name Hiroshi YASUKAWA
3rd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
4th Author's Name Ichi TAKUMI
4th Author's Affiliation Nagoya Institute of Technology
5th Author's Name Masayasu HATA
5th Author's Affiliation Collage of Engineering, Chubu University
Date 2009-05-29
Paper # EA2009-12,SIP2009-12,SP2009-17
Volume (vol) vol.109
Number (no) 57
Page pp.pp.-
#Pages 5
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