| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2021-03-05 16:55 Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR)  SR2020-89 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning is applied to classify the electromagnetic noise generated in the manufacturing field. The frequency and pattern of electromagnetic noise generated in the manufacturing field depends on the source equipment. Therefore, there is a problem that a new noise pattern that occurs infrequently and has not been learned is erroneously classified as a known pattern. Machine learning novelty detection can be used to find unknown patterns. However, when operating measurement, many computer resources are required to operate classification and novelty detection in parallel. In this report, we describe a method for detecting unlearned patterns using the predict probability of classification estimation results by supervised machine learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Factory Wireless Communication / Electromagnetic Noise / Machine Learning Classification / Novelty Detection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 405, SR2020-89, pp. 99-103, March 2021. | |
| Paper # | SR2020-89 | |
| Date of Issue | 2021-02-24 (SR) | |
| 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 | SR2020-89 |
|
| Conference Information | |
| Committee | RCS SR SRW |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2021-03-RCS-SR-SRW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field |
| Sub Title (in English) | |
| Keyword(1) | Factory Wireless Communication |
| Keyword(2) | Electromagnetic Noise |
| Keyword(3) | Machine Learning Classification |
| Keyword(4) | Novelty Detection |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Michio Miyamoto |
| 1st Author's Affiliation | Advanced Telecommunications Research Institute International (ATR) |
| 2nd Author's Name | Ayano Ohnishi |
| 2nd Author's Affiliation | Advanced Telecommunications Research Institute International (ATR) |
| 3rd Author's Name | Yoshio Takeuchi |
| 3rd Author's Affiliation | Advanced Telecommunications Research Institute International (ATR) |
| 4th Author's Name | Toshiyuki Maeyama |
| 4th Author's Affiliation | Advanced Telecommunications Research Institute International/Takushoku University (ATR/Takushoku Univ.) |
| 5th Author's Name | Akio Hasegawa |
| 5th Author's Affiliation | Advanced Telecommunications Research Institute International (ATR) |
| 6th Author's Name | Hiroyuki Yokoyama |
| 6th Author's Affiliation | Advanced Telecommunications Research Institute International (ATR) |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2021-03-05 16:55:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2020-89 |
| Volume (vol) | vol.120 |
| Number (no) | no.405 |
| Page | pp.99-103 |
| #Pages | 5 |
| Date of Issue | 2021-02-24 (SR) |
[Return to Top Page]