Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2024-05-16 10:25 |
Okinawa |
|
Limited Datasets for Optimizing WiFi Sensing Configuration Taichi Yamazaki (Aoyama Gakuin Univ.), Yuusuke Kawakita (KAIT), Akihito Taya (Univ. Tokyo), Yoshito Tobe (Aoyama Gakuin Univ.) |
[more] |
|
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 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:30 |
Hokkaido |
Hokkaido Univ. |
Characteristic analysis to improve the performance of graph-based methods in approximate nearest neighbor search Tomohiro Kanaumi, Yusuke Matsui (Univ. Tokyo) ITS2023-52 IE2023-41 |
Approximate nearest neighbor search (ANNS) is the problem of finding the nearest vector to a given query vector in a dat... [more] |
ITS2023-52 IE2023-41 pp.34-39 |
EA, US (Joint) |
2023-12-23 13:25 |
Fukuoka |
|
Excitation analysis based on the frequency-domain Prony method
-- Extracting and representing driving terms in time-frequency domain -- Shigeru Ando (Univ. Tokyo) EA2023-60 |
Frequency-domain Prony method (FDPM) proposed recently (S. Ando, IEEE Trans. SP, 2020) identifies the autoregressive (AR... [more] |
EA2023-60 pp.65-72 |
SCE |
2023-10-30 14:30 |
Miyagi |
RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Superconducting nano-strip photon detector with photon-number resolution and its application to optical quantum information processing Mamoru Endo, Tatsuki Sonoyama, Kazuma Takahashi, Takefumi Nomura (Univ. Tokyo), Masahiro Yabuno, Fumihiro China, Shigeto Miki, Hirotaka Terai (NICT), Kan Takase, Warit Asavanant, Akira Furusawa (Univ. Tokyo) SCE2023-12 |
[more] |
SCE2023-12 pp.1-5 |
SDM, ICD, ITE-IST [detail] |
2023-08-02 13:15 |
Hokkaido |
Hokkaido Univ. Multimedia Education Bldg. 3F (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Nanosheet Oxide Semiconductor FET Using ALD InGaOx Channel and InSnOx Electrode for 3D Integrated Devices Masaharu Kobayashi, Kaito Hikake, Zhuo Li, Junxiang Hao, Chitra Pandy, Takuya Saraya, Toshiro Hiramoto (Univ. Tokyo), Takanori Takahashi, Mutsunori Uenuma, Yukiharu Uraoka (NAIST) SDM2023-45 ICD2023-24 |
(To be available after the conference date) [more] |
SDM2023-45 ICD2023-24 pp.45-49 |
SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 10:15 |
Osaka |
Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
A Study on Performance Improvement of Congestion Mitigation and Priority Control by Tilted Allocation of CPU Resources to NFs in 5GC Yukiko Kasuga, Akihiro Nakao (Univ. Tokyo) NS2023-43 |
As mobile communication networks become part of the social infrastructure with the advancement of 5G, congestion in the ... [more] |
NS2023-43 pp.56-61 |
TL |
2023-03-11 16:30 |
Online |
Online |
A Comparative Study of Views of Nature in Japan and Thailand
-- Visualization of the effects of forest bathing -- Yosei Sato, Haruka Nakayama, Yuko Hiramatsu, Atsushi Ito (Chuo Univ.), Kazutaka Ueda (Univ. Tokyo), Yasunari Harada (Waseda Univ.), Madoka Hasegawa (Utsunomiya Univ.) TL2022-43 |
Recently, Health Tourism has become popular worldwide. One category of health tourism is Shinrinyoku (Forest Bathing). S... [more] |
TL2022-43 pp.54-59 |
MI |
2023-03-07 11:17 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Thermal properties imaging in human bodies based on Helmholtz decomposition of heat flux Naohiro Eda, Takaaki Nara (Univ. Tokyo) MI2022-112 |
Imaging thermal properties of human tissues is useful for the diagnosis and surgery of tumors.
A few methods have been... [more] |
MI2022-112 pp.161-166 |
HWS, VLD |
2023-03-02 11:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
VLD2022-88 HWS2022-59 |
(To be available after the conference date) [more] |
VLD2022-88 HWS2022-59 pp.91-96 |
RCS, SR, SRW (Joint) |
2023-03-03 15:35 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Research and Development on Wireless Access Technology Based on Factor Analysis of Communication Quality Using Redundant Information Koji Yamamoto (Kyoto Univ.), Mai Ohta (Fukuoka Univ.), Kazuto Yano (ATR), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo), Makoto Taromaru (Fukuoka Univ.), Babatunde Ojetunde, Keiichiro Mori (ATR) SRW2022-66 |
In wireless communications, communication quality is observable; in contrast, its degradation factors are generally unob... [more] |
SRW2022-66 pp.100-105 |
SeMI, SeMI (Joint) |
2023-01-20 11:25 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
Real-time Human Intrusion Detection with Beamforming Feedback Sota Kondo, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo) SeMI2022-100 |
This paper introduces a method of human intrusion detection using beamforming feedback (BFF), which is returned from the... [more] |
SeMI2022-100 pp.134-139 |
SeMI, SeMI (Joint) |
2023-01-20 11:35 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Beamforming Feedback-based LOS Detection Hiroki Shimomura, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo) SeMI2022-101 |
Channel state information (CSI) in wireless local area network (WLAN) has attracted increasing attention for Wi-Fi sensi... [more] |
SeMI2022-101 pp.140-145 |
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] |
2022-11-30 10:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Handling time information for matching broadcast metadata with user-generated text Takeshi S. Kobayakawa (NHK), Takeshi Sakaki, Masanao Ochi, Sakata Ichiro (Univ. Tokyo) NLC2022-12 SP2022-32 |
[more] |
NLC2022-12 SP2022-32 pp.16-20 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 09:50 |
Kochi |
(Primary: On-site, Secondary: Online) |
A learning network for combing distributed neural modules Kengo Suzuki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-48 MSS2022-31 |
[more] |
CAS2022-48 MSS2022-31 pp.55-58 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 10:10 |
Kochi |
(Primary: On-site, Secondary: Online) |
Wide Area Localization Using Autonomous Distributed Cooperative Learning with Wi-Fi Signal Strength Yusuke Sugizaki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-49 MSS2022-32 |
Although there have been previous studies on localization using Wi-Fi signal information, this study proposes a method u... [more] |
CAS2022-49 MSS2022-32 pp.59-62 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:05 |
Kochi |
(Primary: On-site, Secondary: Online) |
An Analysis of Model Parameters Propagation over Decentralized Federated Learning Koshi Eguchi, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-51 MSS2022-34 |
Although there have been many studies on Decentralized Federated Learning (DFL), few have focused on the propagation of ... [more] |
CAS2022-51 MSS2022-34 pp.67-70 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:25 |
Kochi |
(Primary: On-site, Secondary: Online) |
An ML-Model Transfer Algorithm with Forward Error Correction for Wireless Ad Hoc Federated Learning Kentaro Nagaya, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-52 MSS2022-35 |
Most studies of Wireless Ad-Hoc Federated Learning(WAFL) are done in simulations, and few have focused on its feasibilit... [more] |
CAS2022-52 MSS2022-35 pp.71-74 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 13:45 |
Kochi |
(Primary: On-site, Secondary: Online) |
Propagation of the Impact of Model Poisoning Attack on Wireless Ad Hoc Federated Learning Naoya Tezuka, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-53 MSS2022-36 |
[more] |
CAS2022-53 MSS2022-36 pp.75-78 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-18 14:05 |
Kochi |
(Primary: On-site, Secondary: Online) |
Unsupervised Representation Learning over Decentralized Federated Learning Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37 |
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a larg... [more] |
CAS2022-54 MSS2022-37 pp.79-82 |