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Paper Abstract and Keywords
Presentation 2011-03-04 11:35
Performance of Anomalous Signal Detection with HMM Approach in Electromagnetic Wave Observation Using Moving Window
Yoshinao Ito, Akitoshi Itai, Hiroshi Yasukawa (Aichi Prefectural Univ.), Ichi Takumi (Nagoya Inst. Of Tech.), Masayasu Hata (Chubu Univ.) SIS2010-67
Abstract (in Japanese) (See Japanese page) 
(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.
We proposed 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.
In this paper, we evaluate the accuracy of an anomalous signal detection by using a temporal change of log likelihood calculated from EM wave data.
Keyword (in Japanese) (See Japanese page) 
(in English) electromagnetic wave / Hidden Markov Model / extremely low frequency band / amplitude density distribution / log likelihood / signal detection / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 445, SIS2010-67, pp. 77-81, March 2011.
Paper # SIS2010-67 
Date of Issue 2011-02-24 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SIS  
Conference Date 2011-03-03 - 2011-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo City University (Setagaya Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2011-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance of Anomalous Signal Detection with HMM Approach in Electromagnetic Wave Observation Using Moving Window 
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) log likelihood  
Keyword(6) signal detection  
Keyword(7)  
Keyword(8)  
1st Author's Name Yoshinao Ito  
1st Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
2nd Author's Name Akitoshi Itai  
2nd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
3rd Author's Name Hiroshi Yasukawa  
3rd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
4th Author's Name Ichi Takumi  
4th Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. Of Tech.)
5th Author's Name Masayasu Hata  
5th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2011-03-04 11:35:00 
Presentation Time 25 minutes 
Registration for SIS 
Paper # SIS2010-67 
Volume (vol) vol.110 
Number (no) no.445 
Page pp.77-81 
#Pages 5 
Date of Issue 2011-02-24 (SIS) 

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