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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1581  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT, EMM 2024-05-30
13:40
Chiba Chiba University (Nishi-Chiba Campus) Maximum redundancy of ternary AIFV codes is 1/2
Mayu Mori, Kengo Hashimoto, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) IT2024-3 EMM2024-3
(To be available after the conference date) [more] IT2024-3 EMM2024-3
pp.13-17
QIT
(2nd)
2024-05-28
13:00
Ibaraki AIST Tsukuba  [more]
EA 2024-05-22
14:55
Online Online Environmental sound synthesis and creation of dataset using vocal imitations
Yuki Okamoto (Ritsumeikan Univ.), Keisuke Imoto (Doshisha Univ.), Shinnosuke Takamichi (The Univ. of Tokyo/Keio Univ.), Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) EA2024-5
One way to represent the characteristics of environmental sounds is to imitate the environmental sounds by human voice c... [more] EA2024-5
p.22
CCS 2024-03-27
10:15
Hokkaido RUSUTSU RESORT Performance Evaluation of Coupling Models between Oscillators for Performance Improving of Desynchronization-type TDMA
Hiroyuki Yasuda (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (The Univ. of Tokyo) CCS2023-39
 [more] CCS2023-39
pp.1-5
EMCJ, MICT
(Joint)
2024-03-15
10:30
Shimane   A Study on Estimation for Chronic Stress using Heart Rate Variability
Takashi Sudo (Toshiba) MICT2023-78
This research goal is to early detect white collar workers’ mental disorder. In this paper, I propose improvement in chr... [more] MICT2023-78
pp.6-11
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) A consideration on the generation of algebraic surfaces that can evaluate the computational complexity of section-finding problem
Kosuke Sakata (UTokyo), Koichiro Akiyama (Toshiba) IT2023-98 ISEC2023-97 WBS2023-86 RCC2023-80
We report that a method for generating algebraic surfaces, theoretically evaluable for the computational complexity of t... [more] IT2023-98 ISEC2023-97 WBS2023-86 RCC2023-80
pp.150-157
RCS, SR, SRW
(Joint)
2024-03-14
14:05
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
[Invited Talk] Real-time cloud robotics and related technologies toward Beyond 5G/6G
Tomoya Tandai (TISS), Daisuke Uchida, Satoshi Takaya, Yuki Yonezawa (Toshiba), Hiroyuki Nishikawa (TISS), Daisuke Yamamoto (Toshiba) RCS2023-277 SR2023-100 SRW2023-64
This report proposes a Multi-access Edge Computing (MEC)-centralized mobile robots control and its related technologies ... [more] RCS2023-277 SR2023-100 SRW2023-64
p.126(RCS), p.58(SR), p.91(SRW)
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Analysis of speech synthesis of text-free audio using a self-supervised learning model -- focusing on multilingual applications --
Joonyong Park, Daisuke Saito, Nobuaki Minematsu (The Univ. of Tokyo) EA2023-97 SIP2023-144 SP2023-79
 [more] EA2023-97 SIP2023-144 SP2023-79
pp.214-219
SeMI, IPSJ-UBI, IPSJ-MBL 2024-03-01
11:50
Fukuoka   Proposal of a method for analyzing the flow of people near stations based on multiple data integration
Yasuhiro Aoki, Yoshiki Mashima, Yoshihiko Suzuki (Toshiba Infrastructure S&S co,ltd) SeMI2023-84
With the spread of smartphones, it has become possible to know people's movement history in detail, and people flow pred... [more] SeMI2023-84
pp.76-81
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Model Shifting Method in Federated Learning Using Distillation
Hiromichi Yajima (SIT), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki (SIT) NS2023-186
Due to the drastic increase in the data for machine learning, distributed machine learning such as federated learning ha... [more] NS2023-186
pp.86-89
NS, IN
(Joint)
2024-03-01
11:10
Okinawa Okinawa Convention Center 5G Network Slicing using APN for Low Latency and Low Jitter Communications
Ryuta Yajima, Kenji Kanai, Akihiro Nakao (The Univ. of Tokyo) NS2023-218
With the aging population leading to a declining labor force shortly, there is growing anticipation for streamlining and... [more] NS2023-218
pp.270-275
VLD, HWS, ICD 2024-03-01
16:20
Okinawa
(Primary: On-site, Secondary: Online)
An Efficient Hardware Approach for High-Speed SPHINCS+ Signature Generation
Yuta Takeshima, Makoto Ikeda (The Univ. of Tokyo) VLD2023-132 HWS2023-92 ICD2023-121
This study addresses the challenges traditional cryptographic systems face with the advent of quantum computers by focus... [more] VLD2023-132 HWS2023-92 ICD2023-121
pp.173-177
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
10:45
Hokkaido Hokkaido Univ. Initial Image Editing for Layout-to-Image Synthesis in Diffusion Model
Jiafeng Mao (The Univ. of Tokyo), Xueting Wang (CyberAgent), Kiyoharu Aizawa (The Univ. of Tokyo) ITS2023-63 IE2023-52
 [more] ITS2023-63 IE2023-52
pp.90-94
SDM 2024-01-31
15:50
Tokyo KIT Toranomon Graduate School
(Primary: On-site, Secondary: Online)
[Invited Talk] Physical Reservoir Computing using HZO-based FeFETs for Edge-AI Applications
Shin-ichi Takagi, Kasidit Toprasertpong, Eishin Nkako, Rikuo Suzuki, Shin-Yi Min, Mitsuru Takenaka, Ryosho Nakane (The Univ. of Tokyo) SDM2023-80
Physical reservoir computing (RC) using ferroelectric HfZrO2/Si FeFETs is proposed and demonstrated for application to e... [more] SDM2023-80
pp.24-27
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
10:54
Kanagawa Keio Univ. (Hiyoshi Campus) Effect Verification of Fatigue Perception and Training Motivation in Collaborative Muscle Training Using Avatars in VR Space
Yuki Kurimoto, Masaya Nakayama, Takefumi Ogawa (The Univ. of Tokyo) MVE2023-38
This study investigated the effect of the Proteus phenomenon in virtual reality (VR) on enhancing strength training perf... [more] MVE2023-38
pp.31-36
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
15:10
Kanagawa Keio Univ. (Hiyoshi Campus) Work Evidence Data Acquisition for Engineering to Order Style Production Using MR Devices
Hiroki Shinagawa, Yoshiyuki Hirahara, Takanori Yoshii, Hiroaki Nakamura, Kyotaro Hayashi, Masamitsu Fukuda (Toshiba), Takashi Ishii (Toshiba Energy Systems & Solutions), Yasuo Namioka (Toshiba) MVE2023-39
At manufacturing sites for engineering to order, assembly work by workers is mainly performed, but cross-checks by multi... [more] MVE2023-39
pp.37-42
SS, MSS 2024-01-17
16:00
Ishikawa
(Primary: On-site, Secondary: Online)
Linear Regression Analysis of the Fuel Cost Factors of The Concurrent Hydro-Thermal Corporation System
Ichiro Toyoshima (Toshiba ESS), Tomoki Takeuchi, Ryoichi Hara (Hokkaido Univ.), Ryohei Momokawa (Toshiba ESS), Hiroyuki Kita (Hokkaido Univ.) MSS2023-58 SS2023-37
In making a generation schedule, hydropower has played a central role in the power system. It is one of the effective wa... [more] MSS2023-58 SS2023-37
pp.35-39
QIT
(2nd)
2023-12-19
10:30
Okinawa OIST
(Primary: On-site, Secondary: Online)
Implementation of robustly optimized dynamical decoupling on superconducting qubits
Akinori Machino (Osaka Univ./QIQB), Kazuhisa Ogawa (QIQB), Kosuke Mitarai (Osaka Univ./QIQB), Takefumi Miyoshi (QIQB/e-trees/QuEL), Hidehisa Shiomi (QIQB), Shinichi Morisaka (QIQB/QuEL), Ryo Matsuda (Osaka Univ.), Keisuke Koike (e-trees), Ryutaro Ohira, Toshi Sumida, Yoshinori Kurimoto, Yuuya Sugita, Yosuke Ito (QuEL), Yasunari Suzuki (NTT), Peter A. Spring, Shiyu Wang, Shuhei Tamate, Yutaka Tabuchi (RIKEN), Yasunobu Nakamura (RIKEN/The univ. of Tokyo), Makoto Negoro (QIQB/QuEL)
Dynamical decoupling (DD) is one of the important techniques to protect the state of a qubit from decoherence, and plays... [more]
EMCJ 2023-12-08
14:25
Shizuoka Shizuoka University (Hamamatsu) Study on Influence of Winding Position on Leakage Flux of Common-mode Choke Coil Using Toroidal Core
Kohei Hasegawa (Aoyama Gakuin Univ./Toshiba Corp.), Haruki Sasaki, Ryosuke Suga (Aoyama Gakuin Univ.) EMCJ2023-83
A coupling coefficient between windings of a common-mode choke coils as EMI filters is less than 1 due to leakage flux. ... [more] EMCJ2023-83
pp.12-16
US 2023-11-27
15:45
Shizuoka Shizuoka University Measuring mechanical quality factor (Q-factor) using a completely non-contact method
Masatoshi Tsuchida, Takeshi Morita (The Univ. of Tokyo) US2023-53
 [more] US2023-53
pp.55-60
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