Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IA |
2023-11-22 14:05 |
Aomori |
Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Training Data Generation and Experimental System Construction of Federated Learning for Fishing Prediction Yutaka Hatazawa, Syota Miyagosi, Tomoya Kawakami, Takuji Tachibana (Univ. Fukui) |
[more] |
|
IA |
2023-11-22 14:30 |
Aomori |
Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Proposal and Comparison of Microservices Composition Algorithms for In-Network Computing Tomonori Yokono, Takuji Tachibana (Univ. Fukui) |
[more] |
|
AP |
2023-10-19 13:00 |
Iwate |
Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Analysis of Angle of Arrival and Number of Incoming Waves for Millimeter Wave Band Using Ray Tracing Method Sho Kitano, Mitoshi Fujimoto (Univ. Fukui), Koshiro Kitao, Satoshi Suyama (NTT DOCOMO) |
(To be available after the conference date) [more] |
|
AP |
2023-10-20 15:20 |
Iwate |
Iwate University (Primary: On-site, Secondary: Online) |
Beamforming of Large-Scale Array Antennas by Quasi-Quantum Annealing Mitoshi Fujimoto, Shogo Kaginushi (Univ. Fukui), Ryo Yamaguchi, Kazuma Tomimoto (Softbank) |
(To be available after the conference date) [more] |
|
NS |
2023-10-05 10:10 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86 |
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] |
NS2023-86 pp.83-88 |
NS |
2023-10-06 15:20 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104 |
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] |
NS2023-104 pp.162-167 |
CS |
2023-07-28 10:35 |
Tokyo |
Hachijo-machi Chamber of Commerce and Industry |
[Invited Talk]
Expectations of Japan Domestic MAN Model and Its Design Method for Promoting Beyond 5G Research Takuji Tachibana (Univ. Fukui), Yusuke Hirota (NICT), Keijiro Suzuki (AIST), Takehiro Tsuritani (KDDI Research), Hiroshi Hasegawa (Nagoya Univ.) CS2023-51 |
[more] |
CS2023-51 pp.126-130 |
AP |
2023-05-12 15:05 |
Okinawa |
Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
Improvement of reflection performance of metasurface reflector by steepest gradient method Mitoshi Fujimoto, Naoki Shimzu (Univ. Fukui) AP2023-22 |
In high-speed mobile communication systems such as 5G, so-called coverage holes occur where high-quality communication c... [more] |
AP2023-22 pp.75-79 |
NLP, MSS |
2023-03-15 11:40 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Numerical Analysis of Second Order Partial Differential Equations using Haar Wavelet Differential Operator Matrices Hibiki Sano, Takumi Maegawa, Seiichiro Moro (Univ. Fukui) MSS2022-67 NLP2022-112 |
In recent years, numerical methods of differential equations using wavelet transforms has attracted much attention. In s... [more] |
MSS2022-67 NLP2022-112 pp.25-30 |
RCC, ISEC, IT, WBS |
2023-03-14 13:25 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
A Greedy Algorithm for the Minimum-Entropy Coupling Problem Taisei Shibata, Ken-ichi Iwata, Kengo Hashimoto (Univ. Fukui) IT2022-101 ISEC2022-80 WBS2022-98 RCC2022-98 |
The Minimum-Entropy coupling problem is the problem of finding a joint distribution that achieves the minimum entropy fo... [more] |
IT2022-101 ISEC2022-80 WBS2022-98 RCC2022-98 pp.212-217 |
PN |
2023-03-01 14:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Data Offloading for Open Edge Platform and Technical Trends Toward Beyond 5G Takuji Tachibana (Univ. Fukui) PN2022-45 |
[more] |
PN2022-45 pp.19-22 |
IA |
2023-01-25 15:05 |
Osaka |
Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
A Tree Construction Method with a Genetic Algorithm for the Same World Broadcasting System Koki Makida, Tomoya Kawakami (Univ. Fukui), Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2022-71 |
We have studied the live broadcasting system called the same world broadcasting system. In the same world broadcasting s... [more] |
IA2022-71 pp.22-27 |
OCS, CS (Joint) |
2023-01-12 14:25 |
Fukuoka |
CANAL CITY HAKATA (Primary: On-site, Secondary: Online) |
Compression Algorithm for Metropolitan Area Network Model based on Regional Railways and Small-Sized Tokyo MAN Model Takuji Tachibana (Univ. Fukui), Yusuke Hirota (NICT), Keijiro Suzuki (AIST), Takehiro Tsuritani (KDDI Research), Hiroshi Hasegawa (Nagoya Univ.) CS2022-63 |
(Advance abstract in Japanese is available) [more] |
CS2022-63 pp.1-6 |
RCS, NS (Joint) |
2022-12-15 14:35 |
Aichi |
Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Metropolitan Area Network Model Design Algorithm based on Regional Railways and Tokyo MAN model for Beyond 5G Research Takuji Tachibana (Univ. Fukui), Yusuke Hirota (NICT), Keijiro Suzuki (AIST), Takehiro Tsuritani (KDDI Research), Hiroshi Hasegawa (Nagoya Univ.) NS2022-136 RCS2022-193 |
[more] |
NS2022-136 RCS2022-193 pp.41-46(NS), pp.44-49(RCS) |
NS, ICM, CQ, NV (Joint) |
2022-11-24 10:20 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Social Surplus Maximization Using Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2022-101 |
In cross-silo federated learning, where multiple organizations participate, the prediction accuracy of the global model ... [more] |
NS2022-101 pp.7-12 |
NS, ICM, CQ, NV (Joint) |
2022-11-24 13:00 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Proposal for Optimal Communication Scheduling Using Multiple Data Compression Techniques in Distributed Deep Learning Fukuda Ryudai, Takuji Tachibana (Univ. Fukui) NS2022-105 |
In distributed deep learning, which uses multiple processors, the training time can be greatly reduced by executing the ... [more] |
NS2022-105 pp.29-34 |
NS, ICM, CQ, NV (Joint) |
2022-11-24 13:25 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Controller Placement Method Considering D-geodiversity and Redundancy Based on Optimization Problem in SDN Networks Yukinao Hagi (Univ. Fukui), Yuhei Hayashi (NTT), Shohei Kamamura (Seikei Univ.), Takuji Tachibana (Univ. Fukui) NS2022-106 |
[more] |
NS2022-106 pp.35-40 |
ISEC, SITE, LOIS |
2022-11-18 17:45 |
Online |
Online |
Aggregate Entity Authentication with Group Testing Shoichi Hirose (Univ. Fukui/Japan Datacom), Junji Shikata (Yokohama National Univ./Japan Datacom) ISEC2022-46 SITE2022-50 LOIS2022-30 |
Challenge-response entity authentication can be implemented with a MAC function. In such an entity authentication schem... [more] |
ISEC2022-46 SITE2022-50 LOIS2022-30 pp.100-106 |
RISING (3rd) |
2022-10-31 10:30 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Delay Analysis Model of Service Chain Configuration for Fat-Tree Topology Tomonori Yokono (Univ. Fukui), Yuhei Hayashi (NTT), Shohei Kamamura (Seikei Univ.), Takuji Tachibana (Univ. Fukui) |
When a service chain is constructed in a data center network, the total transmission delay is expected to be reduced by ... [more] |
|
RISING (3rd) |
2022-10-31 13:00 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Data Plane Implementation of trTCM in P4 Language and Its Application to Bandwidth Control of Network Slices Fumiya Oshima, Takuji Tachibana (Univ. Fukui) |
To implement network slicing, bandwidth control is needed to virtually divide a physical network. Currently, research an... [more] |
|