IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE 2023-03-16
15:10
Hiroshima JMS ASTERPLAZA
(Primary: On-site, Secondary: Online)
Traceability Management Method based on Informal/Semi-formal Hybrid Notation
Ryoji Okada, Yoshihiro Ohama, Seigo Ito (TCRDL) KBSE2022-56
For traceability management of design specification in software and system designing, methods using informal notation, o... [more] KBSE2022-56
pp.13-18
MBE, NC
(Joint)
2017-05-26
13:50
Toyama Toyama Prefectural Univ. A Parallel Forward-Backward Propagation Learning Rule for Auto-Encoder
Yoshihiro Ohama, Takayoshi Yoshimura (Toyota CRDL) NC2017-3
Auto-encoder is known as a hourglass neural network for acquiring essential representations from multi-dimensional data ... [more] NC2017-3
pp.13-18
HCS 2016-03-01
16:50
Ishikawa Rurikoh (Yamashiro Onsen) Passenger UX Prototypes in an IoT Embedded Vehicle -- In-vehicle Communication Mediated by "Things" Brought in --
Yoshihiro Ohama, Hiroshi Yasuda (Toyota CRDL) HCS2015-89
In modern vehicles, various sensors and actuators are connected each other over in-vehicle network. If these on-board el... [more] HCS2015-89
pp.41-46
HIP 2014-03-19
10:20
Tokyo Tokyo Univ. A radio-controlled car based study for learning backward parking
Shogo Yamauchi, Naohiro Fukumura (Toyohashi Univ. of Tech), Yoshihiro Ohama, Hiroshi Yasuda (Toyota Central R&D Labs,Inc) HIP2013-93
Since there have been many drivers who are not good at parking backward, automotive manufacturers have developed several... [more] HIP2013-93
pp.71-76
NC 2006-03-16
14:30
Tokyo Tamagawa University Application of a Forward-propagation Learning Rule for Adaptive Motor Control with Mixture Models
Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno (Toyohashi Univ. Tech.)
We have proposed a forward-propagation learning (FPL) rule for acquiring neural inverse models. FPL can solve a credit a... [more] NC2005-145
pp.121-126
 Results 1 - 5 of 5  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan