Presentation 2017-07-13
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,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Intelligent housing / Piezoelectric Sensor / Machine Learning / IoT
Paper # ICTSSL2017-20
Date of Issue 2017-07-06 (ICTSSL)

Conference Information
Committee ICTSSL
Conference Date 2017/7/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kagawa Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kazunori Okada(NICT)
Vice Chair Hiroshi Tamura(Chuo Univ.) / Keisuke Nakano(Niigata Univ.)
Secretary Hiroshi Tamura(NTT DoCoMo) / Keisuke Nakano(Shizuoka Univ.)
Assistant Shosuke Sato(Tohoku Univ.) / Tomotaka Wada(Kansai Univ.) / Kazuyuki Miyakita(Niigata Univ.)

Paper Information
Registration To Technical Committee on Information and Communication Technologies for Safe and Secure Life
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Basic Practical Verification of Building State Detection using Piezoelectric Sensor and Machine Learning aiming to Realize Safe and Secure Building IoT System
Sub Title (in English)
Keyword(1) Intelligent housing
Keyword(2) Piezoelectric Sensor
Keyword(3) Machine Learning
Keyword(4) IoT
1st Author's Name Ryo Oiwa
1st Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
2nd Author's Name Sakuya Kishi
2nd Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
3rd Author's Name Yoichiro Hashizume
3rd Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
4th Author's Name Takashi Nakajima
4th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
5th Author's Name ChangHoon Choi
5th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
6th Author's Name Takumi Ito
6th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
7th Author's Name Takahiro Yamamoto
7th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
8th Author's Name Mikio Hasegawa
8th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
9th Author's Name Takayuki Kawahara
9th Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
Date 2017-07-13
Paper # ICTSSL2017-20
Volume (vol) vol.117
Number (no) ICTSSL-124
Page pp.pp.17-20(ICTSSL),
#Pages 4
Date of Issue 2017-07-06 (ICTSSL)