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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MIKA
(3rd)
2024-03-27
14:00
Fukuoka   [Invited Talk] A Study on LPWA with Energy Harvesting Function
Shigenobu Sasaki, Shoya Ogawa (Niigata Univ.)
 [more]
LOIS 2023-03-13
14:15
Okinawa
(Primary: On-site, Secondary: Online)
Aqua Colony Research for Smart Aquaculture
Shoya Ogawa, Yudai Tanaka, Kazuki Fukae (Nagasaki Univ.), Tetsuro Imai (Hiroshima City Univ.), Kenichi Arai, Toru Kobayashi (Nagasaki Univ.) LOIS2022-51
With the global shortage of food and the increasing demand for a safe and secure food supply, the focus of attention has... [more] LOIS2022-51
pp.41-46
IT, ISEC, RCC, WBS 2022-03-10
14:40
Online Online Optimum Clustering Method for Data Driven Consensus Problem considering Network Centrality
Shoya Ogawa, Koji Ishii (Kagawa Univ) IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84
In consensus problems in complex networks, the convergence performance deeply depends on the weighting factors. IKishida... [more] IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84
pp.155-160
LOIS, ICM 2022-01-28
10:25
Online Online Proposal of mesh abnormality detection method in knitting machine using AI
Shoya Ogawa, Nobuyuki Yonaga, Kazuki Fukae (Nagasaki Univ.), Tetsuro Imai (Hiroshima City Univ.), Kenichi Arai, Toru Kobayashi (Nagasaki Univ.) ICM2021-40 LOIS2021-38
Highly durable tortoiseshell nets are attracting attention as fishing nets and rockfall prevention nets for slopes. Thes... [more] ICM2021-40 LOIS2021-38
pp.40-45
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
10:55
Online Online Relaxation of Network Restriction for Deep Learning Based Consensus Problem with Eigenvector Centrality
Shoya Ogawa, Koji Ishii (Kagawa Univ.) RCC2021-23
he convergence performance of consensus problems depends on the applied weighting factors into individual edges. Unfortu... [more] RCC2021-23
pp.7-12
ITS, WBS, RCC 2020-12-14
10:45
Online Online A Study on Relaxation of Network Restriction in Deep-Unfolding aided Consensus
Shoya Ogawa, Ishii Koji (Kagawa Univ.) WBS2020-11 ITS2020-7 RCC2020-14
In the consensus problem with a complex network, the convergence performance deeply depends on the given parameters, i.e... [more] WBS2020-11 ITS2020-7 RCC2020-14
pp.19-24
KBSE, SC 2020-11-13
15:14
Online Online + Kikai-Shinko-Kaikan Bldg.
(Primary: Online, Secondary: On-site)
[Poster Presentation] situation-oriented consumption matching app "Yattekoh"
Shoya Ogawa (Nagasaki Univ), Hu Urasaki (Admin), Tetsuo Imai, Kenichi Arai, Toru Kobayashi (Nagasaki Univ) KBSE2020-18 SC2020-22
 [more] KBSE2020-18 SC2020-22
pp.33-35
 Results 1 - 7 of 7  /   
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