Paper Abstract and Keywords |
Presentation |
2017-07-13 14:15
Basic Practical Verification of Building State Detection using Piezoelectric Sensor and Machine Learning aiming to Realize Safe and Secure Building IoT System Ryo Oiwa, Sakuya Kishi, Yoichiro Hashizume, Takashi Nakajima, ChangHoon Choi, Takumi Ito, Takahiro Yamamoto, Mikio Hasegawa, Takayuki Kawahara (Tokyo Univ. of Science) ICTSSL2017-20 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have constructed a wooden building in Kunisaki City, Oita Prefecture and are doing field verifications in order to realize a safe and secure building system (intelligent housing) that makes use of IoT and artificial intelligence that makes it possible to improve the seismic safety of buildings and to recover quickly from natural disasters. In this study, vibration sources were identified by machine learning using the vibration response waveform of a piezoelectric sensor attached to the building. As a result, it was found that the vibration source and a part of the state of building can be identified by the vibration waveforms of a piezoelectric sensor. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Intelligent housing / Piezoelectric Sensor / Machine Learning / IoT / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 124, ICTSSL2017-20, pp. 17-20, July 2017. |
Paper # |
ICTSSL2017-20 |
Date of Issue |
2017-07-06 (ICTSSL) |
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) |
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ICTSSL2017-20 |
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