Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-06 13:45 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
GSP-Traffic Dataset: Graph Signal Processing Dataset Based on Traffic Simulation Rui Kumagai (Osaka Univ), Hayate Kojima (Tokyo Univ of Agriculture and Technology), Hiroshi Higashi, Yuichi Tanaka (Osaka Univ) SIP2024-2 BioX2024-2 IE2024-2 MI2024-2 |
Data analysis on graphs, including graph signal processing and graph neural networks, is an emerging research field in s... [more] |
SIP2024-2 BioX2024-2 IE2024-2 MI2024-2 pp.7-12 |
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-07 09:30 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
A pre-trained representation learning model can be used to decode speech from intracranial recordings Shoya Murakami, Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) SIP2024-5 BioX2024-5 IE2024-5 MI2024-5 |
Deep learning has been shown to be effective in decoding the content of a speaker's speech from recordings of brain acti... [more] |
SIP2024-5 BioX2024-5 IE2024-5 MI2024-5 pp.23-28 |
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-07 09:55 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
EEG features related to discomfort caused by braking of autonomous vehicle and their classification Motoi Noda, Toshihisa Tanaka (TUAT), Ken Kubota, Kenichi Makita (JATCO Ltd) SIP2024-6 BioX2024-6 IE2024-6 MI2024-6 |
In autonomous vehicles, drivers entrust the control of the vehicle to others (autonomous driving control devices). If th... [more] |
SIP2024-6 BioX2024-6 IE2024-6 MI2024-6 pp.29-33 |
US |
2024-05-30 13:25 |
Tokyo |
Surugadai Campus, Nihon University |
Improvement of Transdermal Administration Efficiency of Biopolymeric Drug Models by Sequential Ultrasound Irradiation in the KHz and MHz Bands Kengo Matsubara, Yuta Kurashina (TUAT) US2024-2 |
[more] |
US2024-2 pp.7-9 |
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) EA2024-3 |
Determined BSS separates source signals by applying the separation matrices, which are estimated under some assumption o... [more] |
EA2024-3 pp.14-19 |
AP |
2024-05-16 15:55 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
FDTD Analysis of Multiple Screen Models Utilizing Array Scanning Method Hiroki Matsui, Takuji Arima (TUAT) AP2024-11 |
[more] |
AP2024-11 pp.21-24 |
HIP, HCS, HI-SIGCOASTER [detail] |
2024-05-14 15:25 |
Okinawa |
Okinawa Industry Support Center |
Feasibility of Extended Typing Error Recognition Time under Decreased Concentration Takeshi Hayashi, Saeki Ryosuke, Nobuhito Hidaka, Kinya Fujita (TUAT) HCS2024-32 HIP2024-32 |
We have regarded the concentration level of office workers as the cognitive resources allocated to their primary task, f... [more] |
HCS2024-32 HIP2024-32 pp.165-168 |
RCS |
2024-04-26 11:30 |
Hiroshima |
(Primary: On-site, Secondary: Online) |
[Invited Lecture]
Effectiveness of Crowdsourced Radio Unit (CRU) to Accommodate Multiple Terminals in Dense Environment Hideya So (SIT), Kazuki Maruta (TUS), Yu Nakayama (TUAT) RCS2024-10 |
Centralized Radio Access Networks (C-RANs) have been considered to accommodate the increasing mobile traffic year by yea... [more] |
RCS2024-10 p.47 |
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2024-03-22 09:50 |
Nagasaki |
Ikinoshima Hall (Primary: On-site, Secondary: Online) |
Integration of Vector Extension and Simultaneous Multithreading for a RISC-V Processor Hidetaro Tanaka, Shogo Takata, Hironori Nakajo (TUAT) CPSY2023-43 DC2023-109 |
In vector architectures, the potential for parallel execution lies in the chaining of instruction sequences. However, a ... [more] |
CPSY2023-43 DC2023-109 pp.29-34 |
AP |
2024-03-14 13:50 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
[Invited Talk (Young Researcher)]
Studies on computation time improvements for the MR/FDTD method Kei Asahi, Takuji Arima (TUAT) AP2023-206 |
With the ongoing developments of the telecommunication technologies, further complexification of the commonly used commun... [more] |
AP2023-206 pp.29-34 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 09:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
IMQ2023-68 IE2023-123 MVE2023-97 |
We propose a simultaneous method of multimodal graph signal denoising and graph learning. Since sensor networks distribu... [more] |
IMQ2023-68 IE2023-123 MVE2023-97 pp.301-306 |
MI |
2024-03-03 10:52 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Evaluation of underspecification in a hot-spot detection support system of bone scintigrams
-- Comparison of pre-market learning and post-market re-learning -- Keisuke Fujimoto (TUAT), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT) MI2023-38 |
(To be available after the conference date) [more] |
MI2023-38 pp.28-29 |
MI |
2024-03-03 11:04 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2023-39 |
(To be available after the conference date) [more] |
MI2023-39 pp.30-31 |
MI |
2024-03-03 11:16 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2023-40 |
(To be available after the conference date) [more] |
MI2023-40 pp.32-33 |
MI |
2024-03-03 13:15 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Special Talk]
Deployment of a computer-aided diagnosis system for bone scintigrams and beyond Akinobu Shimizu (TUAT) MI2023-44 |
[more] |
MI2023-44 p.42 |
MI |
2024-03-03 16:30 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Conditional statistical shape models for multiple brain regions of human embryos Nao Chikaarashi (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Akinobu Shimizu (TUAT) MI2023-56 |
(To be available after the conference date) [more] |
MI2023-56 pp.77-78 |
AI |
2024-03-01 14:00 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
AOAD-MAT:Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions Shota Takayama, Katsuhide Fujita (TUAT) AI2023-40 |
[more] |
AI2023-40 pp.19-24 |
AI |
2024-03-01 14:40 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
Request span extraction from dialog with Heterogeneous Graph Attention Networks Naoki Mizumoto, Katsuhide Fujita (TUAT) AI2023-41 |
In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction pro... [more] |
AI2023-41 pp.25-30 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 15:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Evaluation of the validity of CNN-based image quality assessment Ririko Harada (Osaka Univ.), Ryo Hayakawa (TUAT), Youji Iiguni (Osaka Univ.) |
[more] |
|
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
EA2023-77 SIP2023-124 SP2023-59 |
In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] |
EA2023-77 SIP2023-124 SP2023-59 pp.97-102 |