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Technical Committee on Dependable Computing (DC)  (Searched in: 2020)

Search Results: Keywords 'from:2020-12-11 to:2020-12-11'

[Go to Official DC Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2020-12-11
13:00
Hyogo
(Primary: On-site, Secondary: Online)
A Degradation Prediction of Circuit Delay Using A Gradient Descent Method
Seiichirou Mori, Masayuki Gondou, Yousuke Miyake, Takaaki Kato, Seiji Kajihara (Kyutech) DC2020-59
As the risk of aging-induced faults of VLSIs is increasing, highly reliable systems require to predict when the aging-in... [more] DC2020-59
pp.1-6
DC 2020-12-11
13:20
Hyogo
(Primary: On-site, Secondary: Online)
Proposal of a Location-Based DTN Routing Method for Message Delivery between Fixed Nodes
Yoshihiko Yonezawa, Masato Kitakami (Chiba Univ.) DC2020-60
In recent years, with the spread of mobile devices such as smartphones, there is a need for Internet connection in situa... [more] DC2020-60
pp.7-11
DC 2020-12-11
13:40
Hyogo
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
pp.12-17
DC 2020-12-11
14:00
Hyogo
(Primary: On-site, Secondary: Online)
How to collect teacher data for machine learning models to classify internal document know-how
Takahiro Shimura, Kohei Yabuki, Takumi Hasegawa (Kyosan Electric Mfg), Shiva Krishna Maheshuni, Takeshi Mizuma (Univ.Tokyo) DC2020-62
Not many companies seem to be able to utilize the product design know-how in their internal documents across the board. ... [more] DC2020-62
pp.18-22
DC 2020-12-11
14:20
Hyogo
(Primary: On-site, Secondary: Online)
Prediction of Train Delays at Stations Using Convolutional Neural Networks with Actual Operation Data
Tsukasa Takahashi, Takumi Fukuda, Sei Takahashi (Nihon Univ.), Hideo Nakamura (The Univ. of Tokyo) DC2020-63
Trains in the metropolitan area have high congestion rates during rush hours. Congestion causes delays, and there is a l... [more] DC2020-63
pp.23-26
DC 2020-12-11
14:40
Hyogo
(Primary: On-site, Secondary: Online)
Study on Approach for the NS type Electric Point Machine Maintenance using Condition Based Maintenance
Hiroshi Shida (JR WEST), Yuki Misaki (JR Shikoku), Hiroshi Takahashi (Ehime Univ) DC2020-64
We study on approach for the condition based maintenance (CBM) about NS type electric point machine used widely in Japan... [more] DC2020-64
pp.27-32
DC 2020-12-11
15:05
Hyogo
(Primary: On-site, Secondary: Online)
Vibration Measurement of Signal Bonds for Automatic Train Control
Yuki Echigo, Satoshi Ohtake (Oita Univ.) DC2020-65
 [more] DC2020-65
pp.33-38
DC 2020-12-11
15:25
Hyogo
(Primary: On-site, Secondary: Online)
Development of train self-position estimation device based on brightness information of LiDAR sensor
Noriyuki Shinoda (Shinoda Gi), Takeshi Mizuma (Tokyo Univ) DC2020-66
(To be available after the conference date) [more] DC2020-66
pp.39-42
DC 2020-12-11
15:45
Hyogo
(Primary: On-site, Secondary: Online)
DC2020-67 (To be available after the conference date) [more] DC2020-67
pp.43-48
DC 2020-12-11
16:05
Hyogo
(Primary: On-site, Secondary: Online)
A Survey of the Revisised Standard EN 50126:2017 Concerning Railway System RAMS -- Comparison of revision lists shown in a Japanese Literature and an European one --
Koji Iwata (R.T.R.I) DC2020-68
 [more] DC2020-68
pp.49-54
 Results 1 - 10 of 10  /   
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