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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:35
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Investigation of Appearance Inspection Method Considering the Number of Corresponding Local Patches
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) PRMU2022-74 IBISML2022-81
There has been a great deal of research on appearance inspection using deep learning, which learns only from normal imag... [more] PRMU2022-74 IBISML2022-81
pp.88-92
PRMU 2020-12-17
15:25
Online Online Visual inspection system with a small number of anomalous data using DevNet
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) PRMU2020-47
A good visual inspection using deep learning needs to collect a large amount of anomalous data. To solve this problem, w... [more] PRMU2020-47
pp.53-57
NS, IN
(Joint)
2020-03-05
10:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Linear Programming based Analysis for Minimum Distribution Time of Tit-for-Tat-based P2P File Distribution
Yohei Nishi, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2019-201
In periodic file distribution, e.g., software update, distribution servers tend to be bottlenecks, due to the access con... [more] NS2019-201
pp.141-146
IN, NS
(Joint)
2019-03-05
10:00
Okinawa Okinawa Convention Center On Proximity-based Relaxation of Equivalent Piece Exchange between Peers in Tit-for-Tat-based P2P File Distribution
Yohei Nishi, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2018-232
Periodic update of software is one of preventive measures against malicious attacks.
When the software is used by many... [more]
NS2018-232
pp.231-236
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
10:20
Fukuoka   Analysis of the Resion of Interest in Visual Inspection using CNN
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) PRMU2018-59 IBISML2018-36
We have been developing a deep learning-based method for automated visual inspection of deep drawing metal products. Dee... [more] PRMU2018-59 IBISML2018-36
pp.143-147
ED, SDM 2018-02-28
15:05
Hokkaido Centennial Hall, Hokkaido Univ. Fluidic generator with carbon nanotube thin film: Understanding the mechanism and enhancement of output power
Ryohei Nishi, Shigeru Kishimoto (Nagoya Univ.), Hiromichi Kataura (AIST), Yutaka Ohno (Nagoya Univ.) ED2017-111 SDM2017-111
 [more] ED2017-111 SDM2017-111
pp.31-34
PRMU 2017-10-13
15:20
Kumamoto   Automatic Visual Inspection of Metal Pressed Parts Using CNN
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) PRMU2017-95
We have been developing a deep learning-based method for automated visual inspection of deep drawing metal products. Dee... [more] PRMU2017-95
pp.181-186
RCS, SAT
(Joint)
2007-12-21
10:55
Oita   Design and Implementation of a new DVB-S2 modem for SNG application
Shuichi Hayashi, Takanori Shoji, Yohei Nishi, Eiji Watanabe, Yoshikuni Miyata (Mitsubishi Electric) SAT2007-58
 [more] SAT2007-58
pp.13-18
 Results 1 - 8 of 8  /   
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