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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 125  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MIKA
(3rd)
2022-10-14
10:40
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems
Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT)
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more]
IA, ICSS 2022-06-23
13:05
Nagasaki Univ. of Nagasaki
(Primary: On-site, Secondary: Online)
Towards a Collaborative Operational Data Analysis for Automated Network Management
Satoru Kobayashi, Kensuke Fukuda (NII) IA2022-1 ICSS2022-1
Network automation with a self-driving network, a data-driven approach to avoid and handle network troubles with feedbac... [more] IA2022-1 ICSS2022-1
pp.1-7
LOIS, IPSJ-SPT, IPSJ-GN 2022-05-27
15:20
Online Online Basic study of work feedback system
Toshimasa Aso (Tokyo Univ. of Marine Science and Technology) LOIS2022-3
This paper examines the text for appropriate feedback of results measured by the work probe system to workers. First, th... [more] LOIS2022-3
pp.11-16
IT, ISEC, RCC, WBS 2022-03-10
13:50
Online Online Decentralized Event-Triggered Output Feedback Control for Sensor and Actuator Networks
Koichi Kitamura, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82
In this paper, a new method of event-triggered control for a sensor and actuator network is proposed. Event-triggered co... [more] IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82
pp.145-149
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
18:10
Online Online (Zoom) Effects of Adaptive Viscoelasticity Control on Cooperative Work in Remote Robot Systems with Force Feedback
Ruzhou Ye, Yutaka Ishibashi (Nitech), Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yuichiro Tateiwa (Nitech) CQ2021-111
By experiment, this report investigates effects of the adaptive viscoelasticity control, which was previously proposed a... [more] CQ2021-111
pp.61-66
IN 2022-01-18
14:25
Online Online [Invited Talk] Communication networks in the context of control theory
Kunihisa Okano (Ritsumeikan Univ.) IN2021-29
Stimulated by the remarkable development of information and communication technology, feedback systems including communi... [more] IN2021-29
p.31
SS, MSS 2022-01-11
14:05
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] MSS2021-37 SS2021-24
pp.35-39
RISING
(3rd)
2021-11-16
09:30
Tokyo
(Primary: On-site, Secondary: Online)
Inter-User Distance Estimation in 5G mmWave Cellular Networks Using Deep Learning
Mondher Bouazizi, Siyuan Yang, Tomoaki Ohtsuki (Keio Univ.)
In mmWave massive MIMO system, the distance between each pair of user equipments (UE) is of great importance and conside... [more]
SIP, CAS, VLD, MSS 2021-07-06
11:15
Online Online Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
pp.60-63
CS, CQ
(Joint)
2021-05-13
09:30
Online On-line Enhancement of Robot Position Control Using Force Information Considering Mobile Robots
Kazuya Kanaishi, Hirofumi Nakagawa, Yutaka Ishibashi (NITech), Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yuichiro Tateiwa (NITech) CQ2021-1
This report enhances the robot position control using force information, which was previously proposed, for collaborativ... [more] CQ2021-1
pp.1-6
CS, CQ
(Joint)
2021-05-14
16:05
Online On-line [Invited Lecture] Cross-Layer Optimization of Communication and Control for Reliable Wireless Control
Kentaro Kobayashi (Meijo Univ.) CQ2021-18
This report introduces our studies on cross-layer optimization of communication and control for the improvement of contr... [more] CQ2021-18
pp.76-79
RCS 2021-04-23
09:45
Online Online Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning
Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] RCS2021-10
pp.42-47
IN, NS
(Joint)
2021-03-05
14:30
Online Online A study on congestion control scheme with feedback in Named Data Networking
Taisei Uchida, Chun-Xiang Chen, Tetsuya Shigeyasu (Prefectial Univ. of Hiroshima) IN2020-93
In congestion control in NDN, it is necessary to pay attention to the change in bottleneck link due to cache hit. Theref... [more] IN2020-93
pp.232-237
NC, NLP
(Joint)
2021-01-22
13:55
Online Online Attentional modulation of spike synchrony in a disinihibition network model
Nobuhiko Wagatsuma, Haruka Shimomura (Toho Univ.), Sou Nobukawa (CIT) NC2020-39
Recent computational study has reported that top-down attention mediated by feedback signals modulates the neuronal acti... [more] NC2020-39
pp.40-44
NS, ICM, CQ, NV
(Joint)
2020-11-27
09:55
Online Online Comparison of Force Feedback Methods in Remote Robot Systems
Satoru Ishikawa, Yukata Ishibashi (NIT), Pingguo Huang (Shotoku), Takanori Miyoshi (NUT) CQ2020-54
In remote robot systems with force feedback, this report compares methods of force feedback for cooperative work between... [more] CQ2020-54
pp.38-43
IBISML 2020-10-22
14:25
Online Online Improvement of the robustness by increasing the size of feedback vertex set
Masaki Chujyo, Yukio Hayashi (JAIST) IBISML2020-31
Many real world networks such as power grid and communication networks are commonly scale-free, but highly vulnerable ag... [more] IBISML2020-31
pp.55-60
NS, IN
(Joint)
2020-03-06
10:10
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
A Study on Attractor Selection-based Multipath Routing for Vehicular Network
Ryusuke Igarashi, Dan Okochi, Ryo Nakagawa, Yukio Ogawa, Kaoru Ota, Mianxiong Dong (Muroran-IT) IN2019-107
When a moving vehicle cannot have enough cellular bandwidth to connect to the internet, it can use an alternative route ... [more] IN2019-107
pp.171-176
HWS, VLD [detail] 2020-03-05
14:55
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
[Memorial Lecture] A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation
Yuki Kume, Song Bian, Takashi Sato (Kyoto Univ.) VLD2019-118 HWS2019-91
Echo state network (ESN) is a class of recurrent neural network, and is known for drastically reducing the training time... [more] VLD2019-118 HWS2019-91
pp.139-144
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-28
15:25
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
Make Your Presentation Better: Oral Presentation Support System using Linguistic and Acoustic Features
Shengzhou Yi (UTokyo), Takuya Yamamoto, Osamu Yamamoto, Yukiyoshi Katsumizu, Hiroshi Yumoto (P&I), Xueting Wang, Toshihiko Yamasaki (UTokyo) ITS2019-53 IE2019-91
In order to help presenters to improve their oral presentation skills, we propose a support system to provide impression... [more] ITS2019-53 IE2019-91
pp.317-322
NC, MBE 2019-12-06
10:10
Aichi Toyohashi Tech Implementation of Cerebellar Spiking Neural Network Model on a FPGA
Yusuke Shinji (Chubu Univ.), Hirotsugu Okuno (OIT), Yutaka Hirata (Chubu Univ.) MBE2019-46 NC2019-37
The cerebellum is crucially involved in motor control and learning. Its neuronal network architecture and firing propert... [more] MBE2019-46 NC2019-37
pp.7-12
 Results 1 - 20 of 125  /  [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