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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, CS 2024-03-14
16:20
Okinawa   An Approximate Solution Using K-Shortest Path and Reinforcement Learning for a Load Balancing Problem in Communication Networks
Himeno Takahashi, Norihiko Shinomiya (Soka Univ.) CAS2023-123 CS2023-116
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] CAS2023-123 CS2023-116
pp.70-73
EMM 2024-01-16
14:25
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Comparison of multi-factor authentication and improved authentication methods for increased security
Kazuki Takeda, Youichi Takashima (Kaishi Professional Univ) EMM2023-81
Password authentication is used as an authentication method for various services, and while ID+password authentication i... [more] EMM2023-81
pp.7-12
RISING
(3rd)
2023-10-31
14:00
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Design of a Wireless Power Transfer Spot with Force Display Functions
Ryoichi Okubo, Atsuhiro Yamaguchi, Daisuke Kobuchi, Zhengdong Lin, Hiroyuki Morikawa, Yoshiaki Narusue (Tokyo Univ.)
Wireless power transfer has been gaining attention as a charging method for electronic devices, and technological advanc... [more]
MBE 2023-05-13
15:20
Nagano Shinshu University A Basic Study on Heel Strike Detection Algorithm in Walking Motion Based on Force Plate Data
Masaki Tachibana, MIzue Kayama, Nobuyuki Tachi, Takumi Chino (Shinshu Univ.) MBE2023-6
In this study we investigate the possibility of estimating frailty by analyzing walking. The frail state is a condition ... [more] MBE2023-6
pp.24-29
SeMI, IPSJ-UBI, IPSJ-MBL 2023-03-01
16:40
Aichi
(Primary: On-site, Secondary: Online)
Study of Deep Reinforcement Learning for Wireless Multihop Networks
Cui Zhihan, Khun Aung thura phyo, Lim Yuto, Tan Yasuo (JAIST) SeMI2022-113
In beyond 5G network, the device-to-device communications has been actively studied. These devices are wirelessly connec... [more] SeMI2022-113
pp.37-42
AP 2023-02-17
16:00
Miyagi Tohoku University, Aobayama Campus
(Primary: On-site, Secondary: Online)
Consideration on Antenna Transient Radiation
Motoyuki Sato (Tohoku Univ.) AP2022-231
Short-range radar such as ground penetrating radar uses electromagnetic waves with a wide frequency band to form short-d... [more] AP2022-231
pp.188-193
AI 2022-12-21
16:30
Fukuoka   Agent based Modeling and Reinforcement Learning for optimal allocation of resources
Rashmi Tilak, Toshiharu Sugawara (Waseda Univ.) AI2022-45
We propose a model and notation for business process for delivery of parcels using drones and attempt to improve the tot... [more] AI2022-45
pp.68-73
RISING
(3rd)
2022-10-31
10:30
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Validation of a Low Latency Method for Wireless LANs using Reinforcement Learning in a Thermal Power Plant Environment
Daiki Yoda, Toshihisa Nabetani (Toshiba)
In industry, the demand for wireless communications is increasing, and especially in control communication applications,... [more]
SIP 2022-08-26
09:54
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
A study on adaptive rate control using Deep Q-network in IEEE 802.11
Tomoki Nakashima (Kyutech), Leonardo Lanante (Ofinno), Masayuki Kurosaki, Hiroshi Ochi (Kyutech) SIP2022-63
Transmission rate control in wireless LANs is one of the factors that affect communication quality. Although many transm... [more] SIP2022-63
pp.70-74
IN, NS, CS, NV
(Joint)
2021-09-09
14:30
Online Online [Invited Lecture] A Proposal and Implementation of Adaptive Distributed Compressed Sensing with Cooperative Optimization among Edge Devices
Masatoshi Sekine, Kengo Okano, Satoshi Ikada (OKI) NS2021-64
In recent years, monitoring systems that utilize IoT have become important in monitoring social infrastructure and facto... [more] NS2021-64
pp.42-47
ICTSSL, IN 2019-10-17
11:40
Oita   Evaluation of Wireless Communication Performance Using Q-Learning in Wireless Mesh Network
Takuya Kobayashi, Kentaro Sawa, Takenori Sumi, Kei Ota, Takahisa Yamauchi (Mitsubishi Electric Co.) ICTSSL2019-20 IN2019-34
In the factory monitoring systems and smart meter, the application of wireless mesh network advances to realize no wirin... [more] ICTSSL2019-20 IN2019-34
pp.23-28
US 2017-07-27
15:15
Okayama   Performance improvement of ultrasonic motor using polymer-based vibrator -- Employment of triple-layered vibrator and higher-order vibration modes --
Jiang Wu, Yosuke Mizuno, Kentaro Nakamura (Tokyo Tech) US2017-41
Our previous study has shown that, comparing to the conventional metal-based ultrasonic motors, the polymer-based ultras... [more] US2017-41
pp.55-60
HCS, HIP, HI-SIGCOASTER [detail] 2017-05-16
17:10
Okinawa Okinawa Industry Support Center The controllability of computer interface affects reinforcement learning. -- What is the "good" interface? --
Takumi Tanaka, Hideaki Kawabata (Keio Univ.) HCS2017-24 HIP2017-24
Sense of control, the feeling to control external events through one’s own action, is a significant factor for an interf... [more] HCS2017-24 HIP2017-24
pp.163-168
MBE, NC
(Joint)
2017-03-14
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Experimental evaluation of voluntarily activatable muscle synergies
Shunta Togo (UEC/ATR), Hiroshi Imamizu (Tokyo Univ./ATR) NC2016-77
This study tested hypothesis that the individual muscle synergies extracted by non-negative matrix factorization (NMF) i... [more] NC2016-77
pp.79-84
SANE 2016-11-25
09:20
Overseas National Taipei University of Technology (NTUT) Investigation of Microwave Electromagnetic Field Characteristics inside Carbon Fiber Reinforced Plastic Structures -- Fundamental Electromagnetic Characteristics of Composite Materials for Aircrafts --
Shunichi Futatsumori, Kazuyuki Morioka, Akiko Kohmura, Naruto Yonemoto (ENRI) SANE2016-88
This report discusses the microwave electromagnetic field characteristics inside the carbon fiber reinforced plastic (CF... [more] SANE2016-88
pp.195-198
US 2015-07-31
16:35
Osaka Nippon Paint Holdings Control technology of roll coating workability -- Pickup volume and roller mark --
Satoshi Ishida (nipponpaint holdings) US2015-35
Paint workability is important for paint design. But some workability’s mechanism isn’t clear. Therefore, we can’t contr... [more] US2015-35
pp.41-43
RCS 2015-04-17
08:30
Oita Yufuin, Yufugoukan Evaluation of Positioning Accuracy on QZSS Terminal for GPS Complementary and Reinforcement
Hiroshi Oguma, Keita Norishima, Konatsu Suehiro (NIT,Toyama), Yuji Miyake, Suguru Kameda, Akinori Taira, Noriharu Suematsu, Tadashi Takagi, Kazuo Tsubouchi (Tohoku Univ.) RCS2015-9
Quasi-Zenith Satellite System (QZSS) is a satellite navigation system consisting of several QZSS satellites in highly i... [more] RCS2015-9
pp.41-46
NC, MBE 2015-03-16
14:45
Tokyo Tamagawa University Reinforcement Learning based on Internal-Dynamics-Derived Exploration Using a Chaotic Neural Network
Katsunari Shibata, Yuta Sakashita (Oita Univ.) MBE2014-166 NC2014-117
As a basic concept for emergence of intelligence through autonomous learning, exploration that is es- sential in reinfor... [more] MBE2014-166 NC2014-117
pp.277-282
TL 2014-08-13
16:05
Tokyo The University of Tokyo (Komaba) 18 Bldg. Hall Corpus Frequency of Relative Clause Association in Japanese
Toshiyuki Yamada, Douglas Roland, Manabu Arai, Yuki Hirose (Univ. of Tokyo) TL2014-35
Previous studies show mixed results for the processing of relative clause (RC) association ambiguity in Japanese, as in ... [more] TL2014-35
pp.127-132
US 2014-07-11
15:45
Tokyo Kyoto Electronics, Tokyo sales Office Fabrication of an optical lens array using ultraviolet curable resin and ultrasound vibration
Satoki Taniguchi, Daisuke Koyama (Doshisha Univ), Kentaro Nakamura (Tokyo Inst. of Tech.), Mami Matsukawa (Doshisha Univ) US2014-31
An optical lens array is used various field such as camera modules and liquid crystal displays. In this report, a new fa... [more] US2014-31
pp.31-34
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