Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
NS, ICM, CQ, NV (Joint) |
2019-11-22 11:15 |
Hyogo |
Rokkodai 2nd Campus, Kobe Univ. |
Effect of QoS Control for Hand Delivery of Object between Remote Robot Systems with Force Feedback Qin Qian, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh Univ), Yuichiro Tateiwa (NITech) CQ2019-100 |
(To be available after the conference date) [more] |
CQ2019-100 pp.65-70 |
NS |
2019-10-11 11:35 |
Aichi |
Nagoya Institute of Technology |
Effect of Adaptive ∆-Causality Control for Cooperation between Remote Robot Systems with Force Feedback
-- Case Where Robots have Equal Relationship -- Kazuya Kanaishi, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh Univ.), Yuichiro Tateiwa (NITech) NS2019-119 |
In this report, we investigate the effect of the adaptive ∆-causality control for cooperation between two remote robot s... [more] |
NS2019-119 pp.87-92 |
CQ |
2019-05-31 15:15 |
Hiroshima |
Hiroshima City University |
Time-Delay and Data-Loss Compensation Using Communication Disturbance Observer for Networked Control Systems with Power-Saving Function Takaharu Yamanaka, Kenta Yamada, Ryosuke Hotchi, Ryogo Kubo (Keio Univ.) CQ2019-32 |
According to connecting various things to the Internet, we have been able to control remote things. The system is called... [more] |
CQ2019-32 pp.107-112 |
NLP, MSS (Joint) |
2019-03-15 09:25 |
Fukui |
Bunkyo Camp., Univ. of Fukui |
MSS2018-93 |
Research on network motifs has recently focused on the relationship between form and function, in the context of Boolean... [more] |
MSS2018-93 pp.65-68 |
KBSE |
2019-01-26 11:45 |
Tokyo |
NII |
A hot-spot consolidation method for simplifying frameworks Naoto Kono (Waseda Univ), Kouichi Ono (IBM TRL), Yoshiaki Fukazawa (Waseda Univ) KBSE2018-47 |
Frameworks will be revised as necessary according to feedback and change requests from users as application software dev... [more] |
KBSE2018-47 pp.25-30 |
CQ, CBE (Joint) |
2019-01-18 14:50 |
Tokyo |
Tokyo Metropolitan Univ. |
Follow-up Control of Robot Position for Hand Delivery of Object between Remote Robot Systems with Force Feedback Yuichi Toyoda, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh Univ.), Yuichiro Tateiwa (NITech), Hitoshi Watanabe (Tokyo Univ. of Science) CQ2018-90 |
In this report, we propose follow-up control of the robot position when we carry out hand delivery of object between rem... [more] |
CQ2018-90 pp.83-88 |
MBE, NC (Joint) |
2018-05-19 14:55 |
Toyama |
Univ. of Toyama |
Analysis of relationship between microsaccade and spatial attention for implementation of oculo-feedback Joshua Emoto, Yutaka Hirata (Chubu Univ.) NC2018-2 |
Recently we developed the oculo-feedback system that analyzes eye movements in realtime to extract some features and fee... [more] |
NC2018-2 p.7 |
NS, IN (Joint) |
2018-03-01 10:00 |
Miyazaki |
Phoenix Seagaia Resort |
Evaluation of TCP Fast Retransmit Control Method with Feedback for Packet Reordering in a Real Environment Shuhei Aketa, Eiji Takimoto (Ritsumeikan Univ.), Shoichi Saito (NIT), Koichi Mouri (Ritsumeikan Univ.) NS2017-170 |
TCP performs retransmission control and congestion control when order errors occur. Since order errors due to route chan... [more] |
NS2017-170 pp.17-22 |
NS, IN (Joint) |
2018-03-02 10:50 |
Miyazaki |
Phoenix Seagaia Resort |
Incentive Mechanism for Encouraging Co-operation among Infrastructure Provider and Virtual Network Operators Abu Hena Al Muktadir, Masahiro Jibiki, Ved P. Kafle, Hiroaki Harai (NICT) NS2017-211 |
Allocation of over-estimated virtual resources results in financial losses for both infrastructure provider (InP) and vi... [more] |
NS2017-211 pp.249-254 |