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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| WIT | 2023-06-16 16:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) |
(To be available after the conference date) [more] | |
| SRW | 2023-06-12 11:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Channel Prediction for Overhead Reduction of Channel Estimation in IRS-Assisted Wireless Communication Systems Norisato Suga (ATR/SIT), Kazuto Yano (ATR), Yafei Hou (ATR/Okayama Univ.), Toshikazu Sakano (ATR)  SRW2023-4 |
(To be available after the conference date) [more] | SRW2023-4 pp.19-24 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 09:15 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
An experimental evaluation of millimeter-wave link quality prediction using Wi-Fi CSI and supervised learning Shoki Ohta, Kanare Kodera, Takayuki Nishio (Tokyo Tech) SeMI2023-10 |
This study experimentally evaluates our 60 GHz band millimeter-wave (mmWave) link quality prediction method using 5 GHz ... [more] | SeMI2023-10 pp.42-45 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 15:45 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
A Study on Improving Prediction Accuracy of Frame Extrapolation Using Forward Warping Kazuki Kotoyori, Shota Hirose, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2023-6 BioX2023-6 IE2023-6 |
Recently, many extrapolation models, which predict future frames of video, have been proposed. This study proposes to ch... [more] | SIP2023-6 BioX2023-6 IE2023-6 pp.22-27 |
| NS | 2023-04-13 13:40 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-3 |
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] | NS2023-3 pp.13-18 |
| CCS | 2023-03-26 10:35 |
Hokkaido | RUSUTSU RESORT | Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] | CCS2022-67 pp.25-30 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 13:15 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A study of the encoding runtime reduction for CU partition with intra prediction information in VVC Yuta Saito, Yoshitaka Kidani, Haruhisa Kato, Kei Kawamura (KDDI Research, Inc.) IMQ2022-79 IE2022-156 MVE2022-109 |
Versatile Video Coding (VVC) introduced quad tree with nested multi-type tree (QTMT). The QTMT allows to divide coding ... [more] |
IMQ2022-79 IE2022-156 MVE2022-109 pp.306-308 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 13:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Consideration on Improving Frame Prediction Accuracy Using GAN and PredNet Naoko Imai, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ) IMQ2022-80 IE2022-157 MVE2022-110 |
We have been studying to apply PredNet, which is proposed to prove the predictive coding theory of human brain, to motio... [more] | IMQ2022-80 IE2022-157 MVE2022-110 pp.309-314 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 14:05 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Consideration on Improving Prediction Accuracy of PredNet by Combining Features of Pseudo-future Frame. Kanato Sakama, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ.) IMQ2022-81 IE2022-158 MVE2022-111 |
We have been studying the applicability of PredNet, one of the DNN-based video frame prediction methods proposed to prov... [more] | IMQ2022-81 IE2022-158 MVE2022-111 pp.315-320 |
| SS | 2023-03-15 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Investigation of software development history using a configuration management tool for defect prediction Takayuki Zukawa (Kyoto Inst. Tech.), Masanari Kondo (Kyushu Univ.), Eunjong Choi, Osamu Mizuno (Kyoto Inst. Tech.) SS2022-64 |
As software becomes more widely used, Infrastructure as Code (IaC) is becoming increasingly popular for eliminating the ... [more] | SS2022-64 pp.103-108 |
| ET | 2023-03-14 14:35 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Mountaineering Hazard Prediction Training using locally editting videos Masaya Abe (Nihon Univ), Satoshi Shimad (Nihon Univ.) ET2022-72 |
(To be available after the conference date) [more] | ET2022-72 pp.79-84 |
| NC, MBE (Joint) |
2023-03-13 10:40 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose (UTokyo) NC2022-91 |
Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel pred... [more] | NC2022-91 pp.1-6 |
| ITS, IEE-ITS | 2023-03-13 16:20 |
Chiba | Nihon Univ., Funabashi Campus (Primary: On-site, Secondary: Online) |
A study on prediction of the future location of a vehicle captured from the dashboard camera using instance segmentation Koki Ikeda, Takumi Uemura, Shuichi Ojima (Sojo Univ.) ITS2022-83 |
In recent years, the development of automated driving has been active in the automated driving industry, and Level 3 and... [more] | ITS2022-83 pp.22-27 |
| NC, MBE (Joint) |
2023-03-13 16:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Evaluation of the transfer of prediction ability between two reflexive eye movements responsible for dynamic visual field stabilization. Toshimi Yamanaka, Yutaka Hirata (Chubu univ.) NC2022-98 |
The optokinetic response (OKR) and the vestibulo-ocular reflex (VOR) are reflexive eye movements that are responsible fo... [more] | NC2022-98 pp.36-41 |
| MI | 2023-03-06 17:04 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Rotationally Equivariant Neural Networks for Medical Image Processing Applications Ryota Ogino, Hidekata Hontani, Tatsuya Yokota, Kugler Mauricio (NITech) MI2022-96 |
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction an... [more] | MI2022-96 pp.113-114 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Separate Predictive Time Series Reconstruction using Independent Low-Rank Matrix Analysis Hibiki Izumi, Jun Rokui (Univ of Shizuoka) PRMU2022-95 IBISML2022-102 |
Time series forecasting is the field to predict future values from past values, and various methods have been proposed. ... [more] |
PRMU2022-95 IBISML2022-102 pp.187-192 |
| EMM | 2023-03-02 13:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reversible data hiding in encrypted domain for HDR images Ryusuke Murase, Shoko Imaizumi (Chiba Univ.) EMM2022-69 |
In this paper, we propose a high-capacity reversible data hiding method for HDR images with the Radiance RGBE format (he... [more] | EMM2022-69 pp.13-18 |
| IN, NS (Joint) |
2023-03-02 14:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Feature Selection Method for Predicting Network Failures on CNF 5GC Using Machine Learning with Low Layer Log Data Takeru Hakii, Norihiro Fukumoto, Akihiro Nakao (UTokyo) NS2022-192 |
In complex networks, once a failure occurs, it takes a long time to identify and recover from the cause of the failure, ... [more] | NS2022-192 pp.145-150 |
| MW | 2023-03-02 10:40 |
Tottori | Tottori Univ. (Primary: On-site, Secondary: Online) |
Memory-Driven MLP-Mixer Deep Learning Model for Intelligent Reflecting Surface-Assisted mmWave Systems Beam Prediction Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) MW2022-159 |
Although deep learning (DL) based beam prediction for intelligent reflecting surface (IRS)-assisted millimeter wave (mmW... [more] | MW2022-159 pp.13-18 |
| IN, NS (Joint) |
2023-03-03 13:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
DNS Query Log Aggregation Method Based on Co-occuerence Masaki Kobayashi, Akito Suzuki, Masahiro Kobayashi (NTT), Tatsuaki Kimura (Osaka Univ.) IN2022-118 |
The complexity of traffic demand fluctuation factors caused by the diversification of user terminals and services has ma... [more] | IN2022-118 pp.311-316 |
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