Paper Abstract and Keywords |
Presentation |
2021-03-05 09:00
A Study on Anomalous Signal Detection Using Convolutional Neural Network for ELF Band Electromagnetic Wave Hideo Kohatsu, Akitoshi Itai (Chubu Univ.), Ichi Takumi (Nagoya Institute of Tech.), Hiroshi Yasukawa (Aichi Prefectural Univ.) SIS2020-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The electromagnetic (EM) wave radiated from the earth's crust is known as an important information to understand the precursor phenomena of great earth quakes. We record the EM wave in extremely low frequency (ELF) band. However, the recorded data includes various noises from the thunder radiation in near field and tropics, artificial radiation. The detection of anomalous signal related to the precursor of earthquake is important task. The neural network based approach is proposed to detect anomalous signal from ELF EM wave. However, the EM wave which includes missing values is not used to train the conventional neural network. In this paper, we propose the anomalous signal detection using CNN and waveform of electromagnetic wave. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
ELF band Electromagnetic Wave / Anomalous Signal Detection / CNN / Image / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 415, SIS2020-51, pp. 88-93, March 2021. |
Paper # |
SIS2020-51 |
Date of Issue |
2021-02-25 (SIS) |
ISSN |
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) |
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SIS2020-51 |
Conference Information |
Committee |
SIS |
Conference Date |
2021-03-04 - 2021-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Soft Computing, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2021-03-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Anomalous Signal Detection Using Convolutional Neural Network for ELF Band Electromagnetic Wave |
Sub Title (in English) |
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Keyword(1) |
ELF band Electromagnetic Wave |
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Anomalous Signal Detection |
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CNN |
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Image |
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1st Author's Name |
Hideo Kohatsu |
1st Author's Affiliation |
Chubu University (Chubu Univ.) |
2nd Author's Name |
Akitoshi Itai |
2nd Author's Affiliation |
Chubu University (Chubu Univ.) |
3rd Author's Name |
Ichi Takumi |
3rd Author's Affiliation |
Nagoya Institute of Technology (Nagoya Institute of Tech.) |
4th Author's Name |
Hiroshi Yasukawa |
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Aichi Prefectural University (Aichi Prefectural Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-03-05 09:00:00 |
Presentation Time |
20 minutes |
Registration for |
SIS |
Paper # |
SIS2020-51 |
Volume (vol) |
vol.120 |
Number (no) |
no.415 |
Page |
pp.88-93 |
#Pages |
6 |
Date of Issue |
2021-02-25 (SIS) |
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