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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2023-11-11 15:00 |
Toyama | Toyama Prefectural University | [Invited Talk]
Quantum-Annealing-Inspired Swarm-Intelligence-Like Simulated Annealing Algorithm Akio Yoshizawa (AIST)  CCS2023-29 |
Quantum-inspired classical algorithms for combinatorial optimization have been attracting great attention recently. The ... [more] | CCS2023-29 pp.25-30 |
| CCS | 2023-11-12 10:25 |
Toyama | Toyama Prefectural University | Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] | CCS2023-34 pp.53-57 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Task Offloading for High-accuracy Computing in Mobile Edge-Quantum Computing Shimba Nozaki, Takuji Tachibana (Univ. Fukui) |
Because future applications with machine learning and AI require more sophisticated and faster computational processing... [more] |
|
| RISING (3rd) |
2023-10-31 10:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Formulation of a Social Surplus Optimization Problem for Predicting Fishing Outcomes Using Federated Learning Shotaro Kitano, Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) |
In cross-device federative learning, where each client participates with an IoT device such as a smartphone, a large num... [more] | |
| RISING (3rd) |
2023-10-31 13:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Proposal for a Distributed Metaverse Domain Allocation Considering Digital Twin Takahiro Shinya, Takuji Tachibana (Univ. Fukui) |
For constructing and utilization large-scale virtual spaces, including digital twins (DTs), it is expected to build a di... [more] | |
| RISING (3rd) |
2023-10-31 13:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Formulation and Solution of Microservice Configuration for In-Network Computing Environment Tomonori Yokono, Takuji Tachibana (Univ. Fukui) |
Microservices architecture is well-suited for agile development practices due to its high degree of flexibility and scal... [more] | |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model Naganuma Shunta, Fujita Tsukumo, Arai Maki (Tokyo Univ. of Science), Li Aohan (The Univ. of Electro-Communications), Hasegawa Mikio (Tokyo Univ. of Science) |
The Ising model is a mathematical model that represents the spin interactions of microscopic components of a substance. ... [more] | |
| MIKA (3rd) |
2023-10-11 14:30 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Relay Node Placement Using Genetic Algorithm for Underwater Optimal Wireless Networks Nagisa Iwami, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
Recently, underwater optical wireless communication has been attracting attention because of its ability to achieve high... [more] | |
| NS | 2023-10-04 15:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] | NS2023-76 p.30 |
| AI | 2023-09-12 14:15 |
Hokkaido | A Study of Distributed Constraint Optimization for Publish/Subscribe Messaging Platforms Toshihiro Matsui (Nitech) AI2023-27 |
Optimization problems and solution methods on multiagent systems have been studied as basis of distributed resource allo... [more] | AI2023-27 pp.157-160 |
|
| NS, IN, CS, NV (Joint) |
2023-09-08 14:20 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Power Consumption Optimization Method for Distributed Video Analysis System by Artificial Gene Regulatory Networks Seishiro Inoue, Masaaki Yamauchi, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.) NS2023-64 |
A digital twin highly integrates real and virtual worlds. To construct it, we must accurately perceive the current stat... [more] |
NS2023-64 pp.71-76 |
| SIP | 2023-08-07 14:45 |
Osaka | Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
On optimization over Stiefel manifold based on adaptive Cayley parametrization Keita Kume, Isao Yamada (TokyoTech) SIP2023-50 |
The Stiefel manifold, say St(p,N), is the set of all N-by-p matrices whose column vectors are orthonormal. Optimization ... [more] | SIP2023-50 p.20 |
| IT | 2023-08-04 10:20 |
Kanagawa | Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
Hölder's Reverse Inequality and Its Application to Computation of Lapidoth--Pfister Mutual Information Akira Kamatsuka (SIT), Koki Kazama (Waseda Univ.) IT2023-23 |
The H"{o}lder's inequality, a fundamental theoretical inequality, is employed to examine the characteristics of the reli... [more] | IT2023-23 pp.50-55 |
| CCS, NLP | 2023-06-08 15:35 |
Tokyo | Tokyo City Univ. | A place and route method in AQFP circuits using multi-objective optimization Syota Kasai, Hidehiro Nakano (Tokyo City Univ.) NLP2023-18 CCS2023-6 |
In recent years, research has been conducted on AQFP circuits, which are superconducting logic circuits that consume les... [more] | NLP2023-18 CCS2023-6 pp.21-24 |
| SC | 2023-06-02 13:25 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
Cloud backup system design method that optimizes the number and placement of backup storage based on backup requirements Kaori Murase, Nobuaki Ozaki, Shinichi Hayashi (Hitachi) SC2023-2 |
In the public cloud, backup systems can be easily deployed in multiple regions and data centers for the purpose of data ... [more] | SC2023-2 pp.6-11 |
| QIT (2nd) |
2023-05-29 16:30 |
Kyoto | Katsura Campus, Kyoto University | [Poster Presentation]
Improvement of QAOA for Solving TSP Efficiently Hiroki Akita, Hiroshi Sekigawa, Wataru Takeda (TUS) |
Quantum Approximate Optimization Algorithm (QAOA) is one of the most known quantum algorithms made for solving optimizat... [more] | |
| RCS, IN, NV (Joint) |
2023-05-25 14:00 |
Kanagawa | Keio University (Hiyoshi Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Reconfigurable Intelligent Surface assisted Indoor Wireless Communication Environment Optimization Kaoru Ota (Muroran IT) IN2023-7 RCS2023-20 |
While high-frequency bands such as mmWave and Terahertz radios are a promising spectrum for achieving high-speed wireles... [more] | IN2023-7 RCS2023-20 p.34 |
| NLP | 2023-05-13 11:15 |
Fukushima | Kenshin Koriyama Cultural Center (Koriyama, Fukushima) | Parameter adjustment methods of ACO based on moving costs in time-dependent TSP Teppei Yamauchi, Hidehiro Nakano (Tokyo City Univ.) NLP2023-4 |
The Time Dependent Traveling Salesman Problem (TDTSP) is a combinatorial optimization problem with dynamically changing ... [more] | NLP2023-4 pp.16-19 |
| SR | 2023-05-12 11:00 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Reconfigurable Intelligent Surface assisted Wireless Networks for High Frequency Band Kaoru Ota (Muroran IT) SR2023-18 |
While high-frequency bands are a promising spectrum for achieving high-speed wireless communication in beyond 5G network... [more] | SR2023-18 p.89 |
| EMM, IT | 2023-05-12 09:50 |
Kyoto | Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus) (Primary: On-site, Secondary: Online) |
Relation on Unconstrained Convex Quadratic Programming between Gradient Method and Numerical Discretization of Gradient Flow Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2023-7 EMM2023-7 |
This paper proves one of the properties in terms of gradient descent method and gradient flow. For unconstrained convex ... [more] | IT2023-7 EMM2023-7 pp.31-36 |
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