Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study on Leftovers Prediction from Food Images Yuita Arum Sari, Atsushi Nakazawa (Okayama University) IMQ2023-86 IE2023-141 MVE2023-115 |
Leftover analysis is a valuable tool used by dietitians and nutritionists to assess a patient's calorie intake in health... [more] |
IMQ2023-86 IE2023-141 MVE2023-115 pp.390-395 |
NC, MBE (Joint) |
2024-03-12 11:40 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Generalization Model of Monkey V4 Neurons based on FCN encoder Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba) NC2023-54 |
The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial f... [more] |
NC2023-54 pp.65-68 |
CNR, BioX |
2024-03-01 09:30 |
Tokyo |
NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Respiration-enhanced Human-Robot Interaction Takao Obi, Kotaro Funakoshi (Tokyo Tech.) BioX2023-75 CNR2023-42 |
In the field of Human-Robot Interaction (HRI), enhancing a robot's impression, affinity, and interaction smoothness is c... [more] |
BioX2023-75 CNR2023-42 pp.30-34 |
SeMI, IPSJ-UBI, IPSJ-MBL |
2024-03-01 11:50 |
Fukuoka |
|
Proposal of a method for analyzing the flow of people near stations based on multiple data integration Yasuhiro Aoki, Yoshiki Mashima, Yoshihiko Suzuki (Toshiba Infrastructure S&S co,ltd) SeMI2023-84 |
With the spread of smartphones, it has become possible to know people's movement history in detail, and people flow pred... [more] |
SeMI2023-84 pp.76-81 |
AP, WPT (Joint) |
2024-01-19 10:20 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
The Impact of Ray Tracing Parameters for Mobile Propagation Prediction in Outdoor Urban Scenarios Miyuki Hirose (Kyutech), Tetsuro Imai (TDU), Satoshi Iwasaki, Gilbert Siy Ching, Yukiko Kishiki (KKE) AP2023-180 |
This paper aims to improve the mobile propagation prediction by optimizing the ray tracing parameters. Ray tracing techn... [more] |
AP2023-180 pp.105-109 |
NS, RCS (Joint) |
2023-12-15 09:50 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Analysis of Features Contributing to Early Detection of Failures in 5G Core Networks Using Machine Learning Takeru Hakii (UTokyo), Takuya Miyasaka, Junichi Kawasaki, Daiki Koyama (KDDI Research, Inc.), Norihiro Fukumoto, Akirhiro Nakao (UTokyo) NS2023-141 |
CNF-based 5GC, a cloud-native implementation of network functions (NFs), is increasingly using machine learning for earl... [more] |
NS2023-141 pp.90-96 |
SIS |
2023-12-08 09:30 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
A Proposal of Losing Point Prediction Method Reflecting the Day's Conditions Based on Tracking Data Sota Akamatsu, Eiichiro Kodama, Wang Jiahong, Bhed Bahadur Bista, Toyoo Takata (Iwate Prefectural University) SIS2023-33 |
In baseball, the timing of pitcher substitutions is one of the most important factors influencing the winning percentage... [more] |
SIS2023-33 pp.49-54 |
NLP |
2023-11-28 11:15 |
Okinawa |
Nago city commerce and industry association |
Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS) NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] |
NLP2023-62 pp.15-20 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-16 16:50 |
Tottori |
(Primary: On-site, Secondary: Online) |
Flood forecasting in Matsue City using statistical methods Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23 |
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] |
PRMU2023-23 pp.43-46 |
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.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] |
WIT2023-6 pp.30-35 |
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 |
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 |
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 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 11:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos
-- Introduction of Complete Bipartite Graph Based on Players' Team Information -- Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the introduction of a complete bipartite graph based on the team information of players for improvin... [more] |
|
ICTSSL, CAS |
2023-01-27 10:00 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
Horse racing prediction by image analysis Shunsuke Hara, Chihiro yanagi, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-78 ICTSSL2022-42 |
In this report, we discuss horse racing forecast method using image processing and analysis. [more] |
CAS2022-78 ICTSSL2022-42 pp.87-88 |
IA |
2023-01-25 15:45 |
Osaka |
Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
Predicting the drop out of Prince of Songkla University students using machine learning methods Theerayuth Prasompong, Suwimon Bureekarn, Chidchanok Choksuchat (PSU) IA2022-73 |
In point of students, ‘dropout’ problem in higher education wastes their time and tuition fees. In contrast, universitie... [more] |
IA2022-73 pp.36-42 |
IT, RCS, SIP |
2023-01-25 14:35 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] |
IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2022-07-19 14:15 |
Online |
Online |
A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18 |
To reduce the number of traces for evaluating side-channel attack (SCA) resistance, some methods for performing correlat... [more] |
ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18 pp.18-22 |
DE |
2022-06-25 10:25 |
Tokyo |
Musashino University (Primary: On-site, Secondary: Online) |
The optimum signal approximation clarifying the importance of parallel world and a comment to ABC problem Takuro Kida (Tokyo Tech.), Yuichi Kida (OHU Univ.) DE2022-2 |
In this paper, it is shown a base of the new
trend of algorithm mathematically that treats a historical
reason of cont... [more] |
DE2022-2 pp.7-12 |
HCS, HIP, HI-SIGCOASTER [detail] |
2022-05-16 09:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Cognitive Performance and Workload prediction for older adults using eye information in car driving Minoru Nakayama (Tokyo Tech.), Chayn Sun (RMIT Univ.), Jianhong Xia (Curtin Univ.) HCS2022-23 HIP2022-23 |
Prediction possibility for scores of cogonitive ability and mental
workloads was examined using metrics of oculo-motor... [more] |
HCS2022-23 HIP2022-23 pp.112-117 |