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| Presentation | 2022-01-27 11:20 Research on two-dimensional object shape recognition technology using AI Hiroki Nishida, Ryuji Sanuki, Shu Otoshiro, Nanako Yoshimura, Hideaki Kimura (Chubu Univ.)  EST2021-61 Link to ES Tech. Rep. Archives: EST2021-61 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Anomaly location / system coordination / finite difference time domain method / machine learning, / artificial intelligence / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 358, EST2021-61, pp. 23-26, Jan. 2022. | |
| Paper # | EST2021-61 | |
| Date of Issue | 2022-01-20 (EST) | |
| 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) | |
| Download PDF | EST2021-61 Link to ES Tech. Rep. Archives: EST2021-61 |
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| Conference Information | |
| Committee | EST |
| Conference Date | 2022-01-27 - 2022-01-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Simulation techniques, etc. |
| Paper Information | |
| Registration To | EST |
| Conference Code | 2022-01-EST |
| Language | Japanese |
| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-27 11:20:00 |
| Presentation Time | 20 minutes |
| Registration for | EST |
| Paper # | EST2021-61 |
| Volume (vol) | vol.121 |
| Number (no) | no.358 |
| Page | pp.23-26 |
| #Pages | 4 |
| Date of Issue | 2022-01-20 (EST) |
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