Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
OFT |
2024-05-10 11:35 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
International standardization of fiber optic passive components and fiber optic sensors Takashi Shibuya (Hakusan) |
(To be available after the conference date) [more] |
|
ICD |
2024-04-12 13:25 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
[Invited Lecture]
5-Bit/2Cell(X2.5), 7-Bit/2Cell(X3.5), 9-Bit/2Cell(X4.5) NAND Flash Memory: Half Bit technology Noboru Shibata, Hironori Uchikawa, Taira Shibuya, Kenri Nakai, Kosuke Yanagidaira, Kosuke Yanagidaira (KIOXIA) ICD2024-13 |
Abstract—For achieving lower giga-byte cost with high reliability and high performance, 3.5bit/cell(X3.5) Flash memory i... [more] |
ICD2024-13 p.42 |
NLP, MSS |
2024-03-14 14:50 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
On optimization problems in paralleled switching power converters Kosei Shibuya, Ryunosuke Numata, Toshimichi Saito (HU) MSS2023-94 NLP2023-146 |
This paper studies a biobjective optimization problem in paralleled buck converters. In order to define the biobjective... [more] |
MSS2023-94 NLP2023-146 pp.111-114 |
ICTSSL, CAS |
2024-01-26 09:30 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Development of a remote monitoring system for lithium-ion batteries by using IoT and real-time processing Kosuke Shibuya, Masahiro Fukui (Ritsumeikan Univ.) CAS2023-97 ICTSSL2023-50 |
In the context of the rapid proliferation of electric vehicles and challenges such as shortages and price increases in r... [more] |
CAS2023-97 ICTSSL2023-50 pp.70-75 |
AP, WPT (Joint) |
2024-01-18 09:30 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Kriging Method for Improving Interpolation Accuracy of Path Loss Data Based on A Base Station Position Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Mitsuki Nakamura, Minoru Inomata, Wataru Yamada, Tomoaki Ogawa (NTT) AP2023-167 |
We proposed a Kriging method to improve interpolation accuracy by giving anisotropy to the spatial correlation function ... [more] |
AP2023-167 pp.41-46 |
EMCJ, MICT (Joint) |
2023-03-17 13:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Effectiveness of FineTuning with ViT in Medical Imaging Yuki Shibuya, Kuniki Imagawa, Kohei Shiomoto (TCU) MICT2022-56 |
[more] |
MICT2022-56 pp.1-5 |
RCC, ISEC, IT, WBS |
2023-03-15 10:20 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Efficient composition of encoding polynomial in distributed coded computing scheme Daisuke Hibino, Tomoharu Shibuya (Sophia Univ.) IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 |
Distributed computing is one of the powerful solutions for computational tasks that need the massive size of dataset. La... [more] |
IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 pp.325-330 |
IN, NS (Joint) |
2023-03-02 14:50 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
AP Cooperative Mobility Control for Public Mesh Network Yudai Shibuya (Meidai), Hiroyasu Obata (Hiroshima City Univ.), Yohei Hasegawa, Tutomu Murase (Meidai) IN2022-88 |
This paper proposes an AP movement control method that maximizes throughput with minimal movement of mesh access points ... [more] |
IN2022-88 pp.133-138 |
RCS, SR, SRW (Joint) |
2023-03-03 09:00 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Large-scale Simulation for Integrated Demonstration of Management Technology in Advanced 5G Network Haruhisa Hirayama, Megumi Shibuya, Akira Yamaguchi, Yu Tsukamoto, Takahide Murakami, Hiroyuki Shinbo (KDDI Research) RCS2022-281 |
In the advanced 5G era around 2025, mobile traffic with various required qualities such as high capacity, ultra-low late... [more] |
RCS2022-281 pp.185-189 |
AP, WPT (Joint) |
2023-01-19 11:15 |
Hiroshima |
Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
Multi-Input RNN Based Proactive Prediction of Path Loss using Building Information in UMa Environments Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-180 |
We report a multi-input RNN model that predicts path loss after 5 seconds using GRU (Gated Recurrent Unit), which is one... [more] |
AP2022-180 pp.18-23 |
RCS, NS (Joint) |
2022-12-15 15:00 |
Aichi |
Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Multi-Radio Proactive Control Technologies (Cradio) Kenichi Kawamura, Motoharu Sasaki, Toshirou Nakahira, Naoki Shibuya, Daisuke Murayama, Takatsune Moriyama (NTT) NS2022-137 RCS2022-194 |
In the Beyond 5G/6G era, wireless access will require not only the evolution of individual wireless systems but also the... [more] |
NS2022-137 RCS2022-194 p.47(NS), p.50(RCS) |
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Research on prediction techniques for wireless communication quality using machine learning Naoki Shibuya, Kenichi Kawamura, Motoharu Sasaki, Takatsune Moriyama (NTT) |
[more] |
|
OCS, OFT, LSJ (Joint) [detail] |
2022-08-26 10:50 |
Online |
Online |
Trends in standardization of optical amplifiers Makoto Yamada (Osaka Metropolitan Univ.), Takashi Shibuya (Hakusan), Jutaro Miura (Molex) OFT2022-13 |
We will introduce the latest standardization activity trends regarding optical amplifiers at the International Electrote... [more] |
OFT2022-13 pp.37-40 |
AP, SANE, SAT (Joint) |
2022-07-27 10:15 |
Hokkaido |
Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
[Invited Lecture]
RNN Based Proactive Prediction of Received Power Using Environmental Information Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-36 |
We report a method for predicting received power using a GRU (Gated Recurrent Unit), which is one of the RNNs (Recurrent... [more] |
AP2022-36 pp.12-16 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Bunraku Puppeteer's Real-time "Kata" Motion Discrimination by Nonverbal Information Tetsuro Sakura (The Univ. of Tokyo), Tomonori Shibuya (NIVR), Kazuhiro Ueda (The Univ. of Tokyo) |
In Japanese traditional performing arts “Bunraku,” each Bunraku puppet is cooperatively manipulated by three puppeteers:... [more] |
|
MIKA (2nd) |
2019-10-03 11:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Traffic jam mitigation by lane change restriction control through V2I communication in environments where autonomous cars and manual driving cars coexist Yuki Shibuya, Hiroaki Morino (SIT) |
It is known that traffic congestions of bottlenecks such as sag section in highways get worse affected by lane changes o... [more] |
|
AI |
2019-09-13 14:45 |
Kagoshima |
|
Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera Tomofumi Kitamura, Kenji Kobayashi (JMA), Yoshinori Mizuno (MRI), Masato Mori, Shinichi Miyatake, Kazuyuki Shibuya (JMA) AI2019-22 |
We have been developing a snow depth estimation algorithm using an observation environment monitoring camera that will b... [more] |
AI2019-22 pp.19-24 |
LQE, OCS, OPE |
2019-05-13 15:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Talk]
[Invited] Report on OFC2019
-- Optical interconnects -- Takashi Shibuya (Hakusan) OCS2019-5 OPE2019-5 LQE2019-5 |
Topics of optical interconnects presented in OFC2019, which has held in San Diego, California, USA, from March 3rd to 7t... [more] |
OCS2019-5 OPE2019-5 LQE2019-5 pp.19-21 |
EMM |
2019-03-14 11:05 |
Okinawa |
TBD |
Improvement of the Quality of Visual Secret Sharing Schemes with Shares Containing Inconsistent Pixels Mariko Fujii, Tomoharu Shibuya (Sophia Univ.) EMM2018-114 |
(k, n)-visual secret sharing scheme ((k, n)-VSSS) is a method to divide a secret image into n images called shares that ... [more] |
EMM2018-114 pp.123-128 |
ICM |
2019-03-07 10:00 |
Okinawa |
|
Dynamic deployment of virtual cache function for content delivery services with minimum network cost Kakeru Shibuya, Shin-ichi Kuribayashi (Seikei Univ.) ICM2018-52 |
The algorithm to determine the place where network functions are located and how much capacities of network functions fl... [more] |
ICM2018-52 pp.19-24 |