| Presentation | 2021-03-05 Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi, Toshiyuki Maeyama, Akio Hasegawa, Hiroyuki Yokoyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Factory Wireless Communication / Electromagnetic Noise / Machine Learning Classification / Novelty Detection |
| Paper # | SR2020-89 |
| Date of Issue | 2021-02-24 (SR) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2021/3/3(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) |
| Secretary | Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(NEC) / Tomoya Tandai(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hanako Noda |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| 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 |
| 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) |
| Date | 2021-03-05 |
| Paper # | SR2020-89 |
| Volume (vol) | vol.120 |
| Number (no) | SR-405 |
| Page | pp.pp.99-103(SR), |
| #Pages | 5 |
| Date of Issue | 2021-02-24 (SR) |