Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, NLP (Joint) |
2025-01-29 12:15 |
Osaka |
(Osaka) |
Experimental Evaluation of Reinforcement Learning-Based Power Consumption Reduction Method for Bluetooth Low Energy Beaconing Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS) |
[more] |
|
SR |
2024-11-04 14:55 |
Overseas |
Fraunhofer IPT (Overseas) |
[Poster Presentation]
Performance Improvement of Reinforcement Learning Based Energy-Efficient Beaconing Scheme in Bluetooth Low Energy Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS) SR2024-54 |
Bluetooth Low Energy (BLE) is a short-range wireless communication characterized by very low power consumption and is w... [more] |
SR2024-54 pp.17-23 |
CQ (2nd) |
2024-08-28 15:00 |
Fukushima |
Tenjin-Misaki Sports Park (Fukushima) |
[Poster Presentation]
Experimental Evaluation of MAB-Based Energy Efficient Beaconing in Bluetooth Low Energy Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS) |
In recent years, Bluetooth Low Energy (BLE) has been widely adopted in various IoT devices and has become increasingly p... [more] |
|
NLP, CAS |
2023-10-07 11:10 |
Gifu |
Work plaza Gifu (Gifu) |
Performance Evaluation on Coupling Model between Oscillators for Performance Improvement of Autonomous Decentralized TDMA Takuma Osada (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Maki Arai (Tokyo Univ. of Science), Song-Ju Kim (SOBIN), Mikio Hasegawa (Tokyo Univ. of Science) CAS2023-52 NLP2023-51 |
IoT wireless communication devices are expected to be placed in very high densities, and it is important to realize a co... [more] |
CAS2023-52 NLP2023-51 pp.100-103 |
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Niigata, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reinforcement Learning-based Method for Reducing Power Consumption of BLE Advertisements Minoru Fujisawa (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Ryosuke Isogai, Yoshifumi Yoshida (SEIKO FUTURE CREATION INC.), Song-Ju Kim (SOBIN Inst.), Mikio Hasegawa (Tokyo Univ. of Science) |
Bluetooth Low Energy (BLE) has been applied to various IoT applications due to the popularization of Bluetooth-enabled d... [more] |
|
IN, CCS (Joint) |
2022-08-04 14:20 |
Hokkaido |
Hokkaido University(Centennial Hall) (Hokkaido, Online) (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 |
RCS, SR, SRW (Joint) |
2022-03-02 10:00 |
Online |
Online (Online) |
Reducing Power Consumption of BLE Advertising Based on Reinforcement Learning Ryoma Kitagawa (Tokyo Univ. of Science), Ryosuke Isogai (Seico), Hiroyuki Yasuda (Tokyo Univ.), Yoshifumi Yoshida (Seico), Song-Ju Kim, Mikio Hasegawa (Tokyo Univ. of Science) SRW2021-65 |
Bluetooth Low Energy (BLE) is a short-range wireless communication characterized by low power consumption and has been a... [more] |
SRW2021-65 pp.1-6 |
MIKA (3rd) |
2021-10-29 10:30 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Implementation and experimental evaluation of MAB-based channel selection algorithm for LoRa devices Minoru Fujisawa, Aohan Li, Ikumi Urabe, Ryoma Kitagawa, Yusuke Ito (TUS), Song-Ju Kim (SOBIN Institute LLC), Hiroyuki Yasuda (UTokyo), Mikio Hasegawa (TUS) |
In recent years, the number of IoT devices has been increasing rapidly, and traffic is also expected to increase. In an ... [more] |
|
SR |
2021-05-21 10:50 |
Online |
Online (Online) |
Performance Evaluation of Distributed Channel Selection Algorithm Based on Reinforcement Learning for Massive Mobile IoT Systems Daisuke Yamamoto, Honami Furukawa, Yusuke Ito, Aohan Li (TUS), Song-Ju Kim (Keio Univ.), Mikio Hasegawa (TUS) SR2021-11 |
In a Massive IoT environment, degradation of communication quality due to network congestion is a serious problem. In pr... [more] |
SR2021-11 pp.73-78 |
CCS |
2020-11-26 16:25 |
Online |
Online (Online) |
A Balance for Fairness
-- Fair Distribution Using Physics in Games of Characteristic Function Form -- Song-Ju Kim (SOBIN Inst./Keio Univ.), Taiki Takahashi (Hokudai), Kazuo Sano (SOBIN Inst./Fukui Pref. Univ.) CCS2020-20 |
In a chaotic modern society, there is an increasing demand for the realization of true 'fairness'.
In Greek mythology, ... [more] |
CCS2020-20 pp.16-21 |
IN, CCS (Joint) |
2020-08-04 10:00 |
Online |
Online (Online) |
[Invited Talk]
Reinforcement Learning Based Channel Selection Algorithm for IoT Devices and Its Application to Wireless Sensor Network for Building Monitoring System So Hasegawa (NICT), Ryoma Kitagawa, Takumi Ito, Takashi Nakajima (TUS), Song-Ju Kim (KU), Yoshito Watanabe, Yozo Shoji (NICT), Mikio Hasegawa (TUS) CCS2020-13 |
The IoT wave have spread and the number of IoT devices have rapidly increased.
In IoT system using numerous IoT devices... [more] |
CCS2020-13 pp.5-10 |
SR |
2019-12-06 13:50 |
Okinawa |
Ishigaki City Hall (Ishigaki Island) (Okinawa) |
Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices and Its Application to Data Collection System for Building Monitoring So Hasegawa, Ryoma Kitagawa, Takumi Ito, Takashi Nakajima (TUS), Song-Ju Kim (KU), Yozo Shoji (NICT), Mikio Hasegawa (TUS) SR2019-106 |
The IoT wave have spread and the number of IoT devices have rapidly increased. Numerous IoT devices may generate enormou... [more] |
SR2019-106 pp.103-108 |
CCS, IN (Joint) |
2019-08-01 14:55 |
Hokkaido |
KIKI SHIRETOKO NATURAL RESORT (Hokkaido) |
Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices So Hasegawa, Ma Jing, Ryoma Kitagawa (TUS), Song-Ju Kim (KU), Yoshito Watanabe, Liu Wei, Yozo Shoji (NICT), Mikio Hasegawa (TUS) CCS2019-17 |
The number of IoT devices have been dramatically increased. Numerous IoT devices generate enormous traffic, which causes... [more] |
CCS2019-17 pp.1-6 |
SR |
2019-05-31 10:00 |
Tokyo |
Tokyo Big Sight (Tokyo) |
[Technology Exhibit]
Cognitive IoT
-- A Reinforcement-Learning-based Distributed Channel Selection Algorithm for IoT and Its Application -- Jing Ma, So Hasegawa, Honami Furukawa, Takuma Onishi (TUS), Song-Ju Kim (Keio), Takumi Ito, Kenjiro Mori, Takashi Nakajima, Yoichiro Hashizume, Takahiro Yamamoto, Yakayuki Kawahara (TUS), Hitoshi Watanabe, Wei Liu, Yozo Shoji (NICT), Mikio Hasegawa (TUS) SR2019-14 |
[more] |
SR2019-14 pp.87-89 |
NLP |
2017-07-13 14:55 |
Okinawa |
Miyako Island Marine Terminal (Okinawa) |
Adaptivity and convergence characteristics of decision making using chaotic semiconductor laser Takatomo Mihana, Yuta Terashima (Saitama Univ.), Makoto Naruse (NICT), Song-Ju Kim (NIMS), Atsushi Uchida (Saitama Univ.) NLP2017-35 |
We numerically investigate decision making based on the tug-of-war theory using fast chaotic temporal waveforms generate... [more] |
NLP2017-35 pp.41-46 |
NLP |
2017-07-13 15:20 |
Okinawa |
Miyako Island Marine Terminal (Okinawa) |
Improving Performance of UCB1-tuned Algorithm by Lebesgue Spectrum Filter Xinyu Cho, Kaori Kuroda, Yukio Murata (TUS), Song-Ju Kim (NIMS), Makoto Naruse (NICT), Mikio Hasegawa (TUS) NLP2017-36 |
In the researches on asynchronous chaotic CDMA, it has been shown that the sequences, which have negative autocorrelatio... [more] |
NLP2017-36 pp.47-52 |
CCS |
2017-03-10 09:40 |
Tokyo |
ELSI, TITECH (Tokyo) |
Efficient Decision Making by Harnessing the Computational Power of Physical Phenomena Song-Ju Kim (NIMS) CCS2016-45 |
In our previous work, we showed that the method physically solving decision-making problems, which is called ``the tug-o... [more] |
CCS2016-45 pp.1-6 |
CCS |
2015-08-06 16:10 |
Hokkaido |
Dai-ichi Takimotokan (Noboribetsu, Hokkaido) (Hokkaido) |
Design and Implementation of Improvement Method of Wireless LAN Throughput Using the TOW Algorithm Hiroki Kato (Tokyo Univ. of Science), Song-Ju Kim (NIMS), Kaori Kuroda, Mikio Hasegawa (Tokyo Univ. of Science) CCS2015-34 |
Various mobile communication systems are widespread, and mobile traffic is increasing. However, the bandwidth of availab... [more] |
CCS2015-34 pp.27-31 |
CCS |
2015-08-07 10:00 |
Hokkaido |
Dai-ichi Takimotokan (Noboribetsu, Hokkaido) (Hokkaido) |
Randomness and Complexity in "Nano-chaos" Song-Ju Kim (NIMS), Makoto Naruse (NICT), Masashi Aono (TITECH), Hirokazu Hori (U. Yamanashi) CCS2015-41 |
Previously, we performed numerical simulations to explore how optical energy (exciton) transfers in a network of quantum... [more] |
CCS2015-41 pp.67-72 |
ED, SDM |
2014-02-27 13:30 |
Hokkaido |
Hokkaido Univ. Centennial Hall (Hokkaido) |
[Invited Talk]
Amoeba-inspired Computing Paradigm and Its Realization Using Nanophotonics and Electron Devices Mashashi Aono (Tokyo Inst. of Tech./JST), Makoto Naruse (NICT), Song-Ju Kim (NIMS), Hiroyoshi Miwa (Kwansei Gakuin Univ.) ED2013-132 SDM2013-147 |
[more] |
ED2013-132 SDM2013-147 pp.1-6 |