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Paper Abstract and Keywords
Presentation 2018-06-21 15:55
Capacitance Matrix Calculation of Automotive Wire Harness by Using Machine Learning
Tadatoshi Sekine (Shizuoka Univ.) MW2018-21
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, the author proposes an efficient method to estimate the capacitance matrix of an automotive wire harness by means of a machine learning technique. A bundle of wires constituting the automotive wire harness can be regarded as a strongly-non-uniform multiconductor transmission line (MTL), which is modeled by calculating per-unit-length (p.u.l.) R, L, G, and C matrices associated with the cross-sections of the MTL. In this case, conventional methods generally rely on computational methods to solve a governing equation related to the p.u.l. parameter. In contrast, the proposed method focuses on the p.u.l. capacitance matrix and adopts a machine learning technique based on a neural network (NN). The input of the NN is an image of the cross-section of the MTL and the output is the entries of the p.u.l. capacitance matrix. By using the NN, we can calculate the p.u.l. capacitances without solving the equation. In addition, we discuss the performance of the NN by changing some parameters in the machine learning process.
Keyword (in Japanese) (See Japanese page) 
(in English) automotive wire harness / capacitance matrix / machine learning / multiconductor transmission line / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 104, MW2018-21, pp. 19-24, June 2018.
Paper # MW2018-21 
Date of Issue 2018-06-14 (MW) 
ISSN Print edition: ISSN 0913-5685    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 MW2018-21

Conference Information
Committee MW  
Conference Date 2018-06-21 - 2018-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Sunship Toyama 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Microwave Signal Generation and Measurement / Microwave Technologies 
Paper Information
Registration To MW 
Conference Code 2018-06-MW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Capacitance Matrix Calculation of Automotive Wire Harness by Using Machine Learning 
Sub Title (in English)  
Keyword(1) automotive wire harness  
Keyword(2) capacitance matrix  
Keyword(3) machine learning  
Keyword(4) multiconductor transmission line  
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1st Author's Name Tadatoshi Sekine  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-1 
Date Time 2018-06-21 15:55:00 
Presentation Time 25 minutes 
Registration for MW 
Paper # MW2018-21 
Volume (vol) vol.118 
Number (no) no.104 
Page pp.19-24 
#Pages 6 
Date of Issue 2018-06-14 (MW) 

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