| Presentation | 2018-06-10 A possible approach to detect a damaged position of wooden wall using neural-network classifier Yoichiro Hashizume, Sakuya Kishi, Takashi Nakajima, Soichiro Okamura, Takahiro Yamamoto, Takayuki Kawahara, Mikio Hasegawa, Changhoon Choi, Takumi Ito, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We investigated how to detect the state of the building with measuring the vibration data given by a piezoelectric sensor, and analyzing the obtained signal-informations using machine learning. Specifically, we investigated a method for finding the defection of bolts in a wooden wall. As a result, it became clear that the state of the wooden wall can be detected by the neural network classifier. Furthermore, we tested if the state detection can be performed by k-means clustering method, and we find the clustering method will useful under appropriate conditions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | IoT for Buildings / Neural Net Classifier / Wooden Wall / PVDF sensor / Vibration detector |
| Paper # | NLP2018-40,CCS2018-13 |
| Date of Issue | 2018-06-01 (NLP, CCS) |
| Conference Information | |
| Committee | NLP / CCS |
|---|---|
| Conference Date | 2018/6/8(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Terrsa |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Synchronization, Networks, etc |
| Chair | Norikazu Takahashi(Okayama Univ.) / Mikio Hasegawa(Tokyo Univ. of Science) |
| Vice Chair | Hiroaki Kurokawa(Tokyo University of Tech.) / Makoto Naruse(NICT) / Shigeki Shokawa(Kanagawa Inst. of Tech.) |
| Secretary | Hiroaki Kurokawa(Hiroshima Inst. of Tech.) / Makoto Naruse(Nippon Institute of Tech.) / Shigeki Shokawa(Tokyo City Univ.) |
| Assistant | Masayuki Kimura(Kyoto Univ.) / Yutaka Shimada(Saitama Univ.) / Yuusuke Kawakita(Kanagawa Inst. of Tech.) / Hiroyasu Ando(Univ. of Tsukuba) / Takashi Matsubara(Kobe Univ.) / Ryo Takahashi(AUT) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems / Technical Committee on Complex Communication Sciences |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A possible approach to detect a damaged position of wooden wall using neural-network classifier |
| Sub Title (in English) | |
| Keyword(1) | IoT for Buildings |
| Keyword(2) | Neural Net Classifier |
| Keyword(3) | Wooden Wall |
| Keyword(4) | PVDF sensor |
| Keyword(5) | Vibration detector |
| 1st Author's Name | Yoichiro Hashizume |
| 1st Author's Affiliation | Tokyo University of Science(TUS) |
| 2nd Author's Name | Sakuya Kishi |
| 2nd Author's Affiliation | Tokyo University of Science(TUS) |
| 3rd Author's Name | Takashi Nakajima |
| 3rd Author's Affiliation | Tokyo University of Science(TUS) |
| 4th Author's Name | Soichiro Okamura |
| 4th Author's Affiliation | Tokyo University of Science(TUS) |
| 5th Author's Name | Takahiro Yamamoto |
| 5th Author's Affiliation | Tokyo University of Science(TUS) |
| 6th Author's Name | Takayuki Kawahara |
| 6th Author's Affiliation | Tokyo University of Science(TUS) |
| 7th Author's Name | Mikio Hasegawa |
| 7th Author's Affiliation | Tokyo University of Science(TUS) |
| 8th Author's Name | Changhoon Choi |
| 8th Author's Affiliation | Tokyo University of Science(TUS) |
| 9th Author's Name | Takumi Ito |
| 9th Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2018-06-10 |
| Paper # | NLP2018-40,CCS2018-13 |
| Volume (vol) | vol.118 |
| Number (no) | NLP-75,CCS-76 |
| Page | pp.pp.69-73(NLP), pp.69-73(CCS), |
| #Pages | 5 |
| Date of Issue | 2018-06-01 (NLP, CCS) |