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Paper Abstract and Keywords
Presentation 2021-10-07 11:35
Research on technology for predicting the causes and locations of system abnormalities
Hiroki Nishida, Ryuji Sanuki, Nanako Yoshimura, Hideaki Kimura (Chubu Univ.) EMCJ2021-31 MW2021-43 EST2021-33 Link to ES Tech. Rep. Archives: MW2021-43 EST2021-33
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the shortage of engineers has become a problem due to the declining birthrate and aging population. In this paper, we propose a system for identifying failure locations and factors using reverse engineering technology. The proposed system constructs an object to be evaluated on a computer and identifies anomalies and causes of anomalies by linking artificial intelligence (AI) technology and numerical calculation technology. To verify the validity of the proposed system, numerical calculations and evaluation experiments were conducted in a one-dimensional space, and the results are reported.
Keyword (in Japanese) (See Japanese page) 
(in English) Anomaly location / system coordination / finite difference time domain method / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 188, EST2021-33, pp. 21-24, Oct. 2021.
Paper # EST2021-33 
Date of Issue 2021-09-30 (EMCJ, MW, EST) 
ISSN Online edition: ISSN 2432-6380
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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 EMCJ2021-31 MW2021-43 EST2021-33 Link to ES Tech. Rep. Archives: MW2021-43 EST2021-33

Conference Information
Committee EST MW EMCJ IEE-EMC  
Conference Date 2021-10-07 - 2021-10-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EST 
Conference Code 2021-10-EST-MW-EMCJ-EMC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research on technology for predicting the causes and locations of system abnormalities 
Sub Title (in English)  
Keyword(1) Anomaly location  
Keyword(2) system coordination  
Keyword(3) finite difference time domain method  
Keyword(4) machine learning  
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1st Author's Name Hiroki Nishida  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Ryuji Sanuki  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Nanako Yoshimura  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Hideaki Kimura  
4th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2021-10-07 11:35:00 
Presentation Time 25 minutes 
Registration for EST 
Paper # EMCJ2021-31, MW2021-43, EST2021-33 
Volume (vol) vol.121 
Number (no) no.186(EMCJ), no.187(MW), no.188(EST) 
Page pp.21-24 
#Pages
Date of Issue 2021-09-30 (EMCJ, MW, EST) 


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