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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
KBSE |
2023-03-16 15:10 |
Hiroshima |
JMS ASTERPLAZA (Hiroshima, Online) (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. (Toyama) |
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) (Ishikawa) |
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. (Tokyo) |
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 (Tokyo) |
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 |
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