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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2025-03-19 09:50 |
Hokkaido | RUSUTSU RESORT | Study on the Design Method of Coupling Functions in Autonomous Distributed TDMA Based on Coupled Oscillator Model Hiroyuki Yasuda (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (The Univ. of Tokyo)  CCS2024-71 |
[more] | CCS2024-71 pp.92-96 |
| CCS | 2024-03-27 10:15 |
Hokkaido | RUSUTSU RESORT | Performance Evaluation of Coupling Models between Oscillators for Desynchronization Desynchronization-type TDMA Hiroyuki Yasuda (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (The Univ. of Tokyo) CCS2023-39 |
[more] | CCS2023-39 pp.1-5 |
| CCS, IN (Joint) |
2023-08-04 10:58 |
Hokkaido | Banya-no-yu | Resource Allocation Optimization in Multi-User NOMA Systems Using Higher-Order Hamiltonians Shuho Ishibashi, Ohtsuka Teppei, Maki Arai (TUS), Aohan Li (UEC), Hiroki Takesue, Kensuke Inaba (NTT), Kazuyuki Aihara (UT), Mikio Hasegawa (TUS) CCS2023-24 |
Non-Orthogonal Multiple Access (NOMA) is a next-generation communication technology in which multiple users share a sing... [more] | CCS2023-24 pp.37-42 |
| CAS, NLP | 2022-10-20 16:10 |
Niigata | (Primary: On-site, Secondary: Online) |
Learning Method for Echo State Networks Constructed by Chaotic Neuron Models by Innate Training Yudai Ebato, Sou Nobukawa, Yusuke Sakemi (CIT), Takashi Kanamaru (kougakuin univ), Nina Sviridova (Tokyo Univ. of Science), Kazuyuki Aihara (UTokyo) CAS2022-26 NLP2022-46 |
Echo State Network (ESN) is a machine learning method that consists of an input layer, a layer of recurrent neural netwo... [more] | CAS2022-26 NLP2022-46 pp.35-40 |
| IN, CCS (Joint) |
2022-08-04 14:20 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
A Study of Low Power BLE Advertising Method Based on Reinforcement Learning Hiroyuki Yasuda (The Univ. of Tokyo), Minoru Fujisawa (Tokyo Univ. of Science), Ryosuke Isogai, Yoshifumi Yoshida (SEIKO HOLDINGS Corp.), Song-Ju Kim (Tokyo Univ. of Science), Yozo Shoji (NICT), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2022-33 |
Bluetooth Low Energy (BLE) has been applied to various IoT services because of its versatility and energy efficiency. In... [more] | CCS2022-33 pp.35-40 |
| CCS, NLP | 2022-06-10 16:20 |
Osaka | (Primary: On-site, Secondary: Online) |
A Study on Autonomous Distributed TDMA Using Synchronization Theory for Low Power Intermittent Communication Hiroyuki Yasuda (The Univ. of Tokyo), Takahito Mitsui (Technical Univ. of Munich), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) NLP2022-23 CCS2022-23 |
The Internet of Things (IoT), a large-scale network of many communication terminals, requires autonomous decentralized c... [more] | NLP2022-23 CCS2022-23 pp.117-122 |
| MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
Optimization of Channel Allocation and Transmission Power for D2D Communication Using Coherent Ising Machine Yuchang Jiang, Hirotake Ito, Shoya Kobayashi (TUS), Hiroki Takesue (NTT), Kazuyuki Aihara (UT), Mikio Hasegawa (TUS) |
The effectiveness of a high-speed combinatorial optimization method using a coherent Ising machine (CIM) has been shown.... [more] | |
| NLP, CCS | 2018-06-10 09:30 |
Kyoto | Kyoto Terrsa | Performance Analysis of a Coherent Ising Machine with Hardware Constraints Hirotake Ito, Yukio Murata (TUS), Hiroki Takesue (NTT), Kazuyuki Aihara (TU), Mikio Hasegawa (TUS) NLP2018-39 CCS2018-12 |
A fast solution method of combinational optimization problem using a Coherent Ising Machine has been developed. A method... [more] | NLP2018-39 CCS2018-12 pp.63-68 |
| CCS | 2018-03-26 10:25 |
Tokyo | Tokyo Univ. of Sci. (Morito Memorial Hall) | An Optimization Method for IEEE 802.11 WLAN Access Point Using Coherent Ising Machine Yukio Murata, Yuhei Oyabu, Kaori Kuroda (Tokyo Univ. of Science), Kazuyuki Aihara (The Yniv. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2017-34 |
under the environment of high density developments of IEEE 802.11 wireless LAN access points in area such as stations, m... [more] | CCS2017-34 pp.7-12 |
| CCS | 2017-03-10 10:05 |
Tokyo | ELSI, TITECH | Numerical simulations towards large-scale quantum neural networks Yoshitaka Haribara (Univ. Tokyo), Shoko Utsunomiya (NII), Yoshihisa Yamamoto (ImPACT), Kazuyuki Aihara (Univ. Tokyo) |
[more] | |
| CCS | 2017-03-10 10:30 |
Tokyo | ELSI, TITECH | Solving Asymmetric Traveling Salesman Problems by Coherent Ising Machine Yukio Murata (Tokyo Univ. of Science), Hiroyuki Yasuda (Univ. of Tokyo), Kaori Kuroda (Tokyo Univ. of Science), Kazuyuki Aihara (Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2016-46 |
The effectiveness of high-speed combinatorial optimization method using Coherent Ising Machine (CIM) has been shown. Hop... [more] | CCS2016-46 pp.7-12 |
| CCS | 2016-11-05 11:15 |
Kyoto | Kyoto Sangyo Univ. (Musubiwaza Bldg.) | Optimization of Device-to-Device Communication by Coherent Ising Machine Kohei Hayashi (TUS), Hiroyuki Yasuda (UTokyo), Thong Huynh, Kaori Kuroda (TUS), Kazuyuki Aihara (UTokyo), Mikio Hasegawa (TUS) CCS2016-44 |
The Coherent Ising Machine is the Ising model using a network of lasers with binary oscillation conditions. By mapping t... [more] | CCS2016-44 pp.67-70 |
| WBS | 2016-10-06 11:25 |
Kanagawa | National Defense Academy | Optimization Method Using Coherent Ising Machine for Frequency Assignment in Public WLAN Hiroyuki Yasuda (Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (Univ. of Tokyo) |
[more] | |
| NLP | 2016-07-21 15:20 |
Hokkaido | Hokkaido Univ. Centennial Hall | An evaluation of the shape of the Lorenz attractor embedded in the delay coordinate space with persistent homology Shotaro Tsuji, Kazuyuki Aihara (Univ. Tokyo) NLP2016-37 |
We conducted a numerical evaluation of the geometric shapes of the Lorenz attractor and the recon- structed Lorenz attr... [more] |
NLP2016-37 pp.17-20 |
| CCS, NLP | 2016-06-14 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Solution Method for TSP and QAP by Using the Hopfield-Tank Neural Network on the Coherent Ising Machine Kaori Nagai (Tokyo Univ. of science), Hiroyuki Yasuda (Tokyo Univ.), Kaori Kuroda (Tokyo Univ. of science), Kazuyuki Aihara (Tokyo Univ.), Mikio Hasegawa (Tokyo Univ. of science) |
[more] | |
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