| Presentation | 2022-01-27 Research on two-dimensional object shape recognition technology using AI Hiroki Nishida, Ryuji Sanuki, Shu Otoshiro, Nanako Yoshimura, Hideaki Kimura, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the shortage of engineers due to the declining birthrate and aging population has become an issue. In this paper, we propose a technique for identifying abnormalities by combining numerical simulation technology and artificial intelligence technology. The proposed technology is a system that constructs an object to be evaluated on a computer, links numerical simulation technology and artificial intelligence (AI) technology, and identifies abnormalities and abnormal factors. In this paper, we report on the improvement of the accuracy and the confirmation of the effectiveness of the system by conducting numerical simulations in two-dimensional space, specializing in grasping the shape of the object, in order to verify the validity of the system. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomaly location / system coordination / finite difference time domain method / machine learning, / artificial intelligence |
| Paper # | EST2021-61 |
| Date of Issue | 2022-01-20 (EST) |
| Conference Information | |
| Committee | EST |
|---|---|
| Conference Date | 2022/1/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Simulation techniques, etc. |
| Chair | Jun Shibayama(Hosei Univ.) |
| Vice Chair | Masayuki Kimishima(Advantest) / Yasuhide Tsuji(Muroran Inst. of Tech.) / Yasuo Ohtera(Toyama Prefectural Univ.) |
| Secretary | Masayuki Kimishima(ENRI) / Yasuhide Tsuji(yoto Univ.) / Yasuo Ohtera |
| Assistant | Seiya Kishimoto(Nihon Univ.) / Akito Iguchi(Muroran Inst. of Tech) |
| Paper Information | |
| Registration To | Technical Committee on Electronics Simulation Technology |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research on two-dimensional object shape recognition technology using AI |
| Sub Title (in English) | |
| Keyword(1) | Anomaly location |
| Keyword(2) | system coordination |
| Keyword(3) | finite difference time domain method |
| Keyword(4) | machine learning, |
| Keyword(5) | artificial intelligence |
| 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 | Shu Otoshiro |
| 3rd Author's Affiliation | Chubu University(Chubu Univ.) |
| 4th Author's Name | Nanako Yoshimura |
| 4th Author's Affiliation | Chubu University(Chubu Univ.) |
| 5th Author's Name | Hideaki Kimura |
| 5th Author's Affiliation | Chubu University(Chubu Univ.) |
| Date | 2022-01-27 |
| Paper # | EST2021-61 |
| Volume (vol) | vol.121 |
| Number (no) | EST-358 |
| Page | pp.pp.23-26(EST), |
| #Pages | 4 |
| Date of Issue | 2022-01-20 (EST) |