IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SDM 2023-02-07
15:35
Tokyo Tokyo Univ.
(Primary: On-site, Secondary: Online)
[Invited Talk] Temperature Dependence of Information Processing Performance of Ionic Liquid Type Intelligent Connection Device
Masakazu Kobayashi (NAGASE), Hisashi Shima, Yasuhisa Naitoh, Hiroyuki Akinaga (AIST), Dan Sato, Takuma Matsuo, Masaharu Yonezawa, Kentaro Kinoshita (TUS), Toshiyuki Itoh (Toyota Phys. & Chem. Res. Inst.), Toshiki Nokami (Tottori Univ), Yasumitsu Orii (NAGASE)
(To be available after the conference date) [more]
MSS, SS 2023-01-10
11:00
Osaka
(Primary: On-site, Secondary: Online)
[Panel Discussion] Review of Mathematical Systems Science and its Applications (MSS) Research Group Activities and Future Prospects -- Messages from Past MSS Chairs --
Atsuo Ozaki (OIT), Kunihiko Hiraishi (JAIST), Yuichi Nakamura (NEC), Satoshi Yamane (Kanazawa Univ.), Morikazu Nakamura (Univ. of the Ryukyus), Shigemasa Takai (Osaka Univ.) MSS2022-44 SS2022-29
Ten years have passed since the Mathematical Systems Science and its Applications (MSS) was established in 2011. To comm... [more] MSS2022-44 SS2022-29
pp.1-4
MVE 2022-09-09
11:00
Tokyo
(Primary: On-site, Secondary: Online)
An Image Recognition Model of Danger Objects for Diverse Clients using Federated Learning
Yasuhiro Nitta, Ryo Yonetani, Maki Sugimoto, Hideo Saito (Keio Univ.) MVE2022-15
A disabled person can have cognition of danger objects during walking, which might not coincide with a non-disabled pers... [more] MVE2022-15
pp.26-31
SCE 2022-08-09
13:00
Online Online Physical Reservoir using Josephson Transmission Line for Waveform Classification
Kohki Watanabe (Tohoku Univ.), Yoshinao Mizugaki (Univ.Electro-Communications), Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ.) SCE2022-6
Superconducting device is expected to be applied to machine learning due to its outstanding low power consumption proper... [more] SCE2022-6
pp.30-33
TL 2022-07-10
10:30
Online Online Formation of language subject by foreign learning: -- Over the physical activity of pronunciation learning --
Tomiko Yuyama (Tokyo Metoropolitan Univ) TL2022-2
(To be available after the conference date) [more] TL2022-2
pp.7-12
IBISML 2022-03-09
11:35
Online Online [Invited Talk] ---
Masanobu Horie (RICOS Co. Ltd.) IBISML2021-43
Learning flow phenomena is an important problem for both theoretical and practical aspects. Graph neural networks are a ... [more] IBISML2021-43
p.37
EMM 2022-03-07
14:30
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Studies on Detection and Analysis of Physical Unclonable Function Using Wien Bridge Oscillation Circuit
Ryota Soga, Hyunho Kang (NITTC) EMM2021-97
The study of Physical Unclonable Functions (PUFs) has attracted much attention as a technology to protect individual ide... [more] EMM2021-97
pp.29-33
RCS, SIP, IT 2022-01-20
15:10
Online Online [Invited Talk] Wireless link quality prediction using physical space information in Society 5.0
Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] IT2021-44 SIP2021-52 RCS2021-212
pp.93-94
CCS 2021-11-19
13:00
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
Physical reservoir computing on analog-digital hybrid circuit systems consisting of discrete semiconductor devices
Yuki Abe, Kose Yoshida (Hokkaido Univ), Megumi Akai-Kasaya (Hokkaido Univ/Osaka Univ), Tetsuya Asai (Hokkaido Univ) CCS2021-30
This report describes machine learning process & benchmarks by using physical reservoir computing device. We design phys... [more] CCS2021-30
pp.73-78
IN, NS, CS, NV
(Joint)
2021-09-10
14:00
Online Online [Invited Talk] ZigBee devices identification based on RF circuit impairments
Ibuki Yoshitani, Ryota Shinoda, Yuichi Miyaji, Hideyuki Uehara (TUT) CS2021-48
In this report we introduce ZigBee devices identification based on physical information specific to wireless devices, wh... [more] CS2021-48
pp.37-41
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-27
17:35
Online Online [Poster Presentation] Real-World Dynamic Recognition by Combining Machine Learning Models
Akihito Taya, Koichi Shimoda, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-6
Internet of things (IoT) and wearable devices make it easy to obtain physical quantities. These values are used to recog... [more] SeMI2021-6
pp.27-32
CS 2020-07-17
13:30
Hokkaido Ripura(Rishiri Fuji)
(Primary: On-site, Secondary: Online)
Device identification based on RF circuit imperfections
Taisei Nakada, Ryota Shinoda, Yuichi Miyaji, Hideyuki Uehara (TUT) CS2020-31
In this report we introduce device identification based on physical information specific to wireless devices, which is a... [more] CS2020-31
pp.61-66
SC 2020-05-29
13:30
Online Online Characterizing Quality of In-home Physical Activities Using Bone-based Human Sensing
Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2020-1
In recent years, with the conversion to home care in the aging society, it is significant for extending healthy life spa... [more] SC2020-1
pp.1-6
ET 2020-01-25
10:55
Wakayama Wakayama JA Building Drum Performance Evaluation Method Using Body Motion and Performance Information
Yasuhiro Imada, Youji Ochi, Nobukazu Iguchi (Kindai Univ.) ET2019-70
In drum performance, it is necessary for a learner to acquire suitable performance techniques and use them efficiently i... [more] ET2019-70
pp.7-10
SITE 2019-12-06
15:40
Kanagawa   "To be there" as an existence in logical space and an existence in probability measure space -- "Shared logos (partage) on language games" as a necessary condition of physicality --
Tetsuya Morizumi (KU) SITE2019-86
How should the AI relate to the information security? The AI performs Bayesian estimation of a probability distribution ... [more] SITE2019-86
pp.41-46
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
15:10
Kagoshima Kagoshima University Reenactments of game-play styles in VR through personal bots -- Speculative visions for applications of attractiveness computing --
Taro Narahara (NJIT), Toshihiko Yamasaki (Univ. of Tokyo) IMQ2018-44 IE2018-128 MVE2018-75
Proposed educational modules demonstrate an AI’s ability to personalize things through re-enactments of robots assembled... [more] IMQ2018-44 IE2018-128 MVE2018-75
pp.127-130
EMM 2019-03-13
14:05
Okinawa TBD [Poster Presentation] Identification of Analog Devices Based Machine Learning
Kazuma Tomitsuka, Shohei Hujimaki, Hyunho Kang (NITTC) EMM2018-93
I began researching to propose a method to extract Physical Un-clonable Function (PUF) from analog parts by investigatin... [more] EMM2018-93
pp.13-16
DC 2019-02-27
10:55
Tokyo Kikai-Shinko-Kaikan Bldg. Efficient Challenge-Response Pairs Generation and Evaluation for PUF Circuit Using BIST Circuit During Manufacturing Test
Tomoki Mino, Shintani Michihiro, Michiko Inoue (NAIST) DC2018-75
Recently, counterfeited ICs have become a big problem for semiconductor supply chains. One of the countermeasures for th... [more] DC2018-75
pp.25-30
AI 2019-02-23
14:20
Tokyo   Attempt to distinguish pattern of motion on bed in nursing care situation by machine learning
Yohei Kayano (Nagoya City Univ.) AI2018-49
Keyword: Nursing, physical restraint, Machine learning, activity recognition, wearable sensor There are remaining proble... [more] AI2018-49
pp.67-70
AI 2018-08-27
10:25
Osaka   Study on Physics-guided Learning of Deep Neural Network
Junya Tanaka (Osaka Univ), Tomohiko Tomita (Kumamoto Univ), Masayuki Numao, Ken-ichi Fukui (Osaka Univ) AI2018-14
Machine learning, especially deep learning, have a disadvantage that learning models become complicated and it becomes d... [more] AI2018-14
pp.7-12
 Results 1 - 20 of 32  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan