Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Computational Modeling with Geometric Morphometrics and Deep Neural Networks
-- An approach Methodology for Identifying Facial Impression Factors -- Takanori Sano, Hideaki Kawabata (Keio Univ.) |
Numerous studies have been conducted in psychology on the factors that influence facial impressions. In recent years, st... [more] |
|
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS |
2022-10-06 13:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Estimation of out-of-view attention region Koki Hara, AtsuShi Nakazawa (Kyoto Univ) MVE2022-18 |
Gazing behavior is one of the most important elements of human attention to the outward things.
The study of saliency e... [more] |
MVE2022-18 pp.1-6 |
NLC, IPSJ-ICS |
2022-07-08 13:05 |
Online |
Online |
Self-Reproducing Automaton of Linguistic Intelligence
-- Self-Regulative Networking between External and Internal Languages -- Kumon Tokumaru (Researcher) NLC2022-1 |
Speech, text and binary electronic data are categorized as External Language, while memory networks inside the brain con... [more] |
NLC2022-1 pp.1-6 |
ICM |
2022-07-08 09:30 |
Hokkaido |
Tokachi Plaza (Primary: On-site, Secondary: Online) |
Eulerian cycle-based design of packet loss measurement routes to detect lossy links Yuichi Sano, Masahiro Shibata, Masato Tsuru (Kyutech) ICM2022-16 |
For network optimization and high-availability based on SDN, it is required to monitor the state and quality of every li... [more] |
ICM2022-16 pp.30-35 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 09:55 |
Online |
Online (Zoom) |
Active intrusion detection method for IoT devices Takahiro Ohtani, Ryo Yamamoto, Satoshi Ohzahata (UEC) CQ2021-101 |
In recent years, the threat of attacks against IoT (Internet of Things) devices has become apparent with the rapid sprea... [more] |
CQ2021-101 pp.5-10 |
PRMU |
2021-12-17 14:45 |
Online |
Online |
Data Selection for Efficient Deep Learning Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51 |
We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neura... [more] |
PRMU2021-51 pp.148-153 |
CQ |
2021-08-04 09:55 |
Online |
Online |
A Speculative Video Transmission Method for Low Latency of Cloud Gaming Systems Takumasa Ishioka (Osaka Univ.), Ryota Shiina, Tatsuya Fukui, Hiroya Ono, Toshihisa Fujiwara, Tomohiro Taniguchi (NTT), Takuya Fujihashi, Shunsuke Saruwatari, Takashi Watanabe (Osaka Univ.) CQ2021-26 |
As networks become more sophisticated, there is growing interest in cloud gaming, a service that allows users to play ga... [more] |
CQ2021-26 pp.26-31 |
CS, OCS (Joint) |
2020-01-17 11:15 |
Oita |
Beppu Housensou Hotel (Oita Pref.) |
Demonstration of a Novel Framework for Proactive Maintenance using Failure Prediction and Bit Lossless Protection in Optical Transport Networks Fumikazu Inuzuka, Takuya Oda, Takafumi Tanaka, Kei Kitamura, Seiki Kuwabara (NTT), Akira Hirano (TDU), Takuya Ohara (NTT) OCS2019-77 |
We propose a novel framework for proactive maintenance that realizes disruption-free networks with low latency. The proa... [more] |
OCS2019-77 pp.67-70 |
NS, ICM, CQ, NV (Joint) |
2019-11-22 14:55 |
Hyogo |
Rokkodai 2nd Campus, Kobe Univ. |
On Retrieval Order of Statistics Information from OpenFlow Switches to Locate Lossy Links by Network Tomographic Refinement Takemi Nakamura, Suguru Goto, Masahiro Shibata, Masato Tsuru (kyutech) ICM2019-27 |
To maintain service quality and availability in managed networks, detecting and locating high loss-rate links (i.e., los... [more] |
ICM2019-27 pp.33-38 |
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 |
ICM |
2018-07-06 11:00 |
Aomori |
|
OpenFlow-based packet delay variation monitoring per link to efficiently locate deteriorated links Shunya Nagata, Masato Tsuru (Kyutech) ICM2018-19 |
In recent year, OpenFlow is becoming popular as a technology supporting cloud services and server virtualizations.Accord... [more] |
ICM2018-19 pp.47-52 |
NS |
2018-04-19 15:50 |
Fukuoka |
Fukuoka Univ. |
[Invited Talk]
The Fun of OpenFlow
-- Simple ways to enjoy flexible routing -- Masato Tsuru (KYUTECH) NS2018-6 |
SDN (Software-defined networking) technology is being adopted and deployed from data center LAN and enterprise WAN to wi... [more] |
NS2018-6 pp.31-36 |
MoNA |
2018-01-19 13:30 |
Kyoto |
Campus Plaza Kyoto |
Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning Shingo Kato, Ryoichi Shinkuma (Kyoto Univ.) MoNA2017-54 |
Delivering real-time road-traffic information to the driver is a straightforward solution to the problem of road traffic... [more] |
MoNA2017-54 pp.73-78 |
EMM |
2017-11-07 11:00 |
Kagoshima |
Kagoshima Univ. (Inamori Academy) |
[Invited Talk]
Researches on Impressiveness Multimedia Contents
-- Attractiveness Computing using Big Multimedia Data -- Toshihiko Yamasaki (UTokyo) EMM2017-63 |
Due to the advancement in machine learning and pattern recognition technologies such as deep neural networks, recognitio... [more] |
EMM2017-63 p.45 |
MVE |
2017-10-20 11:20 |
Hokkaido |
KitamiInstitute of Technology |
Estimating the attractiveness of a food photo using a Convolutional Neural Network Akinori Sato (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Takatsugu Hirayama, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2017-32 |
We have previously proposed a method for estimating the attractiveness of a food photo in order to assist a user to shoo... [more] |
MVE2017-32 pp.107-111 |
CS, NS, IN, NV (Joint) |
2017-09-08 16:10 |
Miyagi |
Research Institute of Electrical Communication, Tohoku Univ. |
A Hybrid Approach for Named Data Networking Based Ad Hoc Routing Ngo Quang Minh, Ryo Yamamoto, Satoshi Ohzahata, Toshihiko Kato (The Univ. of Electro-Commun.) NS2017-87 |
This paper proposes a new routing protocol for named data networking (NDN) based ad hoc networks. One feature of our pr... [more] |
NS2017-87 pp.97-102 |
NS, IN (Joint) |
2017-03-02 09:50 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL |
Adaptive Distribution of In-network Guidance Information for Information-Centric Networks Kenichi Hashimoto, Yosuke Tanigawa, Hideki Tode (Osaka Prefecture Univ.) NS2016-159 |
For several years, access load on servers and network traffic are greatly increasing due to larger content-size and high... [more] |
NS2016-159 pp.13-18 |
CQ |
2016-07-27 15:55 |
Osaka |
The Osaka Umeda Campus, Kwansei Gakuin Univesity |
Optimization of the retrieval order of statistics information in measuring packet loss rates of all links on OpenFlow Yuki Fujimura, Yuta Tsukioka, Masato Tsuru (kyutech) CQ2016-45 |
In recent years, OpenFlow has been attracting much attention as a network technology to support cloud computing and serv... [more] |
CQ2016-45 pp.73-78 |
PN |
2016-03-08 14:25 |
Okinawa |
Okinawaken Seinenkaikan |
Proposal of the remote optical network unit for realizing an optical ad hoc networking method in the Elastic Lambda Aggregation Network Satoru Okamoto (Keio Univ.), Takahiro Sekii (Telecom Bretagne), Yoshihiro Isaji, Takehiro Sato, Naoaki Yamanaka (Keio Univ.) PN2015-120 |
To improve disaster tolerance in optical access and aggregation network, the Elastic Lambda Aggregation Network (EλAN) h... [more] |
PN2015-120 pp.99-105 |
IA, SITE, IPSJ-IOT [detail] |
2016-03-04 10:45 |
Saga |
Nijino-Matsubara Hotel (Karatsu-shi, Saga-prefecture) |
Interactive Analysis of Large-scale Networks based on Integration of Multiple-layer Information Osamu Akashi, Kimihiro Mizutani, Toru Mano, Takeru Inoue (NTT), Kensuke Fukuda, Shigeo Urushidani (NII) SITE2015-72 IA2015-104 |
It is important to analyze the behavior of large-scale networks. However, this analysis is difficult because we have to ... [more] |
SITE2015-72 IA2015-104 pp.215-220 |