Presentation | 2022-10-13 An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An estimation method of the magnetic coupling coefficient between printed-circuit-board-level lines using a near field information was investigated. Parallel two microstrip lines (MSLs) with different distances between the lines were used as a test bench. A signal current of 1 GHz was applied to one MSL. Both ends of the other MSL were terminated with 50 Ω. The current composed of the signal current in one MSL and the return current in the ground and the neighboring MSL was modeled as a simple one-turn equivalent loop current model. First, a classifier was developed by using a one-dimensional CNN (Convolutional neural network) learned with the theoretical values of the near-field distribution generated from the loop current model. Next, the simulated near-field distributions above the parallel two MSLs were input to the classifier to estimate the geometry of the loop current models. The magnetic coupling coefficients between the estimated loop current models were calculated and compared with those between the parallel two MSLs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Magnetic coupling coefficient / Magnetic near-field / Loop current model / Microstrip line / Machine learning / Convolutional neural network |
Paper # | EMCJ2022-35,MW2022-81,EST2022-45 |
Date of Issue | 2022-10-06 (EMCJ, MW, EST) |
Conference Information | |
Committee | EMCJ / MW / EST / IEE-EMC |
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Conference Date | 2022/10/13(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Akita University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Atsuhiro Nishikata(Tokyo Inst. of Tech.) / Noriharu Suematsu(Tohoku Univ.) / Jun Shibayama(Hosei Univ.) |
Vice Chair | Kimihiro Tajima(NTT-AT) / Tadashi Kawai(Univ. of Hyogo) / Kensuke Okubo(Okayama Prefectural Univ.) / Hideyuki Nakamizo(Mitsubishi Electric) / Masayuki Kimishima(Advantest) / Yasuhide Tsuji(Muroran Inst. of Tech.) / Yasuo Ohtera(Toyama Prefectural Univ.) |
Secretary | Kimihiro Tajima(Hokkaido Univ.) / Tadashi Kawai(Hitachi) / Kensuke Okubo(Univ. of Electro-Comm) / Hideyuki Nakamizo(Toshiba) / Masayuki Kimishima(yoto Univ.) / Yasuhide Tsuji(Univ. of Electro-Comm) / Yasuo Ohtera |
Assistant | Kiyoto Matsushima(Hitachi) / Kenji Ogata(ADOX) / Toru Matsushima(Kyushu Inst. of Tech.) / Naoki Hasegawa(Softbank) / Kosuke Katayama(NIT Tokuyama College) / Seiya Kishimoto(Nihon Univ.) / Akito Iguchi(Muroran Inst. of Tech) |
Paper Information | |
Registration To | Technical Committee on Electromagnetic Compatibility / Technical Committee on Microwaves / Technical Committee on Electronics Simulation Technology / Technical Meeting on Electromagnetic Compatibility |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information |
Sub Title (in English) | |
Keyword(1) | Magnetic coupling coefficient |
Keyword(2) | Magnetic near-field |
Keyword(3) | Loop current model |
Keyword(4) | Microstrip line |
Keyword(5) | Machine learning |
Keyword(6) | Convolutional neural network |
1st Author's Name | Yusuke Sato |
1st Author's Affiliation | Akita University(Akita Univ.) |
2nd Author's Name | Sho Muroga |
2nd Author's Affiliation | Akita University(Akita Univ.) |
3rd Author's Name | Hidefumi Kamozawa |
3rd Author's Affiliation | Akita University(Akita Univ.) |
4th Author's Name | Motoshi Tanaka |
4th Author's Affiliation | Akita University(Akita Univ.) |
Date | 2022-10-13 |
Paper # | EMCJ2022-35,MW2022-81,EST2022-45 |
Volume (vol) | vol.122 |
Number (no) | EMCJ-206,MW-207,EST-208 |
Page | pp.pp.1-5(EMCJ), pp.1-5(MW), pp.1-5(EST), |
#Pages | 5 |
Date of Issue | 2022-10-06 (EMCJ, MW, EST) |