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Paper Abstract and Keywords
Presentation 2011-09-21 10:45
A Study on Clustering for Anomalous Signal Detections from Electromagnetic Wave Data
Satoshi Urata, Hiroshi Yasukawa (Aichi Prefectural Univ.), Akitoshi Itai (Chubu Univ.), Ichi Takumi (NIT) SIS2011-23
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 have observed the electromagnetic (EM) wave using the Extremely Low Frequency band. Various methods for detection of an anomalous signal have been proposed.
The known problem of those technique is related to a false detection due to the limitation of training data.
We proposed the HMM based anomalous signal detection whose training data is the amplitude density distribution extracted from normal EM wave signals.
However, the time resolution of anomalous signal detection is not discussed enough.
In this paper, anomalous signal detection using amplitude density distribution calculated by short term signals is proposed to track a temporal change of acceptance probability.
Keyword (in Japanese) (See Japanese page) 
(in English) electromagnetic wave / Hiden Markov Model / extremely low frequency band / amplitude density distribution / signal detection / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 210, SIS2011-23, pp. 11-16, Sept. 2011.
Paper # SIS2011-23 
Date of Issue 2011-09-14 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF SIS2011-23

Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2011-09-21 - 2011-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2011-09-SIS-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Clustering for Anomalous Signal Detections from Electromagnetic Wave Data 
Sub Title (in English)  
Keyword(1) electromagnetic wave  
Keyword(2) Hiden Markov Model  
Keyword(3) extremely low frequency band  
Keyword(4) amplitude density distribution  
Keyword(5) signal detection  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Satoshi Urata  
1st Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
2nd Author's Name Hiroshi Yasukawa  
2nd Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ.)
3rd Author's Name Akitoshi Itai  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Ichi Takumi  
4th Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2011-09-21 10:45:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2011-23 
Volume (vol) vol.111 
Number (no) no.210 
Page pp.11-16 
#Pages 6 
Date of Issue 2011-09-14 (SIS) 

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