Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA |
2024-05-22 13:50 |
Online |
Online |
Determined BSS based on the proximal average of IVA and DNNs Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) |
[more] |
|
KBSE |
2024-03-14 15:40 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
An approach for improving perceived safety in autonomous driving using personalized shielding Ryotaro Abe, Jialong Li, Jinyu Cai (Waseda Univ.), Shinichi Honiden (NII), Kenji Tei (Tokyo Tech) KBSE2023-76 |
This research introduces an innovative Reinforcement Learning (RL) approach tailored for autonomous driving systems, ter... [more] |
KBSE2023-76 pp.67-72 |
KBSE |
2024-03-14 16:20 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Automated Stepwise Policy Design for Stepwise Discrete Controller Synthesis Takuto Yamauchi (Waseda Univ.), Kenji Tei (Tokyo Tech.), Shinichi Honiden (Waseda Univ.) KBSE2023-77 |
Discrete Controller Synthesis (DCS) automatically synthesizes a safety-guaranteed behavioral specification for a given o... [more] |
KBSE2023-77 pp.73-75 |
KBSE |
2024-03-14 16:45 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Dynamic update controller synthesis using on-the-fly exploration Takanori Hirano, Takuto Yamauchi (Waseda Univ.), Kenji Tei (Tokyo Tech.), Shinichi Honiden (NII) KBSE2023-78 |
In discrete event systems that require continuous operation, it is necessary to update the system without stopping opera... [more] |
KBSE2023-78 pp.76-78 |
KBSE |
2024-03-14 17:10 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Reusable Self-Adaptive Intrusion Recovery for Cloud Native Applications Takumi Ikeda, Takuto Yamauchi (Waseda Univ.), Kenji Tei (Tokyo Tech) KBSE2023-79 |
Research is being conducted on self-adaptive technologies that monitor, analyze, plan and execute adaptive actions at ru... [more] |
KBSE2023-79 pp.79-81 |
KBSE |
2024-03-14 17:35 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Priority-based On-the-fly Exploration for Discrete Controller Synthesis Hiroki Takeuchi, Takuto Yamauchi (Waseda Univ.), Kenji Tei (Tokyo Tech) KBSE2023-80 |
[more] |
KBSE2023-80 pp.82-83 |
NC, MBE (Joint) |
2024-03-12 10:50 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Data Description Formats for Efficient Reverse Engineering of Brain Computational Functions Hiroshi Yamakawa, Yoshimasa Tawatsuji (Tokyo Univ.), Tatsuya Miyamoto (Waseda Univ.), Naoya Arakawa, Yuta Ashihara, Ayako Fukawa (WBAI), Koichi Takahashi (RIKEN), Yutaka Matsuo (Tokyo Univ.) NC2023-52 |
In the current situation where neuroscience knowledge is still insufficient, a bidirectional design that integrates both... [more] |
NC2023-52 pp.53-58 |
NC, MBE (Joint) |
2024-03-12 11:15 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Brain Function Modeling Focused on Glial Cells in Relation to the Sensation of Loneliness Ryoka Suzuki (Waseda Univ.), Yoshimasa Tawatsuji (Univ. of Tokyo), Tatsunori Matsui (Waseda Univ.) NC2023-53 |
This study aims to elucidate the mechanism of loneliness, which has become a serious social problem, from the viewpoints... [more] |
NC2023-53 pp.59-64 |
TL |
2024-03-04 10:50 |
Overseas |
National Tsing Hua University (Taiwan) (Primary: On-site, Secondary: Online) |
Visualization of behavior using bio signals Haruki Watanabe, GU Xiao (Chuo Univ.), Kazutaka Ueda (Univ. of Tokyo), Yuko Hiramatsu (Chuo Univ.), Yasunari Harada (Waseda Univ.), Miwa Morishita (Kobe Gakuin Univ.), Madoka Hasegawa (Utsunomiya Univ.), Atsushi Ito (Chuo Univ.) TL2023-39 |
[more] |
TL2023-39 pp.1-6 |
TL |
2024-03-04 12:00 |
Overseas |
National Tsing Hua University (Taiwan) (Primary: On-site, Secondary: Online) |
Information delivery for sightseeing support application by BLE network GU Xiao, Watanabe Haruki (Chuo Univ.), Kazutaka Ueda (Univ. Tokyo), Yuko Hiramatsu (Chuo Univ.), Yasunari Harada (Waseda Univ.), Miwa Morishita (Kobe Gakuin), Madoka Hasegawa (Utsunomiya Univ.), Atsushi Ito (Chuo Univ.) TL2023-41 |
[more] |
TL2023-41 pp.12-17 |
HCS |
2024-03-03 16:40 |
Shizuoka |
Tokoha University(Shizuoka-Kusanagi Campus) |
Nonverbal interaction of patient-therapist coordination during gait rehabilitation
-- Application of recurrence analyses -- Kentaro Kodama (TMU), Kazuhiro Yasuda (TPU), Ryosaku Makino (Waseda) HCS2023-113 |
(To be available after the conference date) [more] |
HCS2023-113 pp.143-146 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70 |
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] |
EA2023-88 SIP2023-135 SP2023-70 pp.162-167 |
KBSE |
2024-01-23 15:20 |
Kagoshima |
(Primary: On-site, Secondary: Online) |
Automatic support to emphasize texts using document processing technology Misaki Yokota (Waseda Univ.), Junko Shirogane (tokyo woman's christian Univ.), Hajime Iwata (Kanagawa Institute of Technology), Yoshiaki Fukazawa (Waseda Univ.) KBSE2023-54 |
Important information is commonly conveyed by emphasizing texts in an article. This helps readers easily grasp key point... [more] |
KBSE2023-54 pp.19-24 |
NC, MBE (Joint) |
2023-11-27 10:55 |
Osaka |
Kindai Univ. (Primary: On-site, Secondary: Online) |
Neural network model for category ambiguity perception Yoshimasa Tawatsuji (The Univ. of Tokyo), Keiichi Muramatsu (Waseda Univ.) |
[more] |
|
CS |
2023-11-09 10:20 |
Shizuoka |
Plaza Verde |
Performance Evaluations of NDN-based Information-Centric Service Mesh Hideyuki Saito (Waseda Univ.), Kenji Kanai (Univ. of Tokyo), Hidenori Nakazato (Waseda Univ.) CS2023-64 |
The post-5th generation of mobile communications, Beyond 5G(B5G), receives attention and is being developed in countries... [more] |
CS2023-64 pp.10-15 |
CS |
2023-11-09 11:07 |
Shizuoka |
Plaza Verde |
Network monitoring through visualization of ICN data flow Yoshiki Bando, Hidenori Nakazato (Waseda), Kenji Kanai (Tokyo) CS2023-71 |
Visualization of telecommunications which is performed in a distributed fashion alleviates difficulty in observing netwo... [more] |
CS2023-71 pp.30-34 |
NS |
2023-10-06 16:50 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Society 5.0/Beyond Personal data distribution platform for a High QoL Society in the 5G era Midori Sugaya (SIT), Patrick Finnerty (Kobe Univ), Kazuhito Matsumoto (Waseda), Tetsuya Yokotani (KIT), Kenji Kanaki (Univ of Tokyo), Hidenori Nakazato (Waseda), Chikara Ohta (Kobe Univ) NS2023-107 |
(To be available after the conference date) [more] |
NS2023-107 pp.177-180 |
TL |
2023-09-30 12:40 |
Tokyo |
University of Tokyo |
Shared Neural Representations of Semantic Categories for Images and Words
-- A Study Using Decoding Analysis of MEG Data -- Kai Nakajima, Jion Tominaga, Dmitry Patashov (Waseda Univ.), Keita Tanaka, Akihiko Tsukahara (TDU), Hiroki Miyanaga, Shoji Tsunematsu (SHI), Rieko Osu, Hiromu Sakai (Waseda Univ.) TL2023-16 |
Even when objects are presented as words or images, humans can identify their semantic categories. The extent to which t... [more] |
TL2023-16 pp.3-8 |
TL |
2023-10-01 13:15 |
Tokyo |
University of Tokyo |
Context dependent neural oscillations of semantic memory: An MEG study using images Jion Tominaga, Kai Nakajima, Dmitry Patashov (Waseda), Keita Tanaka, Akihiko Tsukahara (TDU), Hiroki Miyanaga, Shoji Tsunematsu (SHI), Hiromu Sakai (Waseda) TL2023-29 |
[more] |
TL2023-29 pp.73-78 |
MI |
2023-09-08 11:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Study on Identifying Gender Differences Using Deep Learning from Retinal Fundus Images Shota Tsutsui (Waseda Univ.), Ichiro Maruko, Moeko Kawai (TWMU), Yoichi Kato, Jun Ohya (Waseda Univ.) MI2023-17 |
Previous studies show that a properly designed and trained deep learning algorithm is capable to identify the gender of ... [more] |
MI2023-17 pp.8-11 |