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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 10:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Informative Path Planning in Dynamic Environments Using Spatio-Temporal Gaussian Process Regression Gao Tian, Techasarntikul Nattaon, Ohsita Yuichi, Shimonishi Hideyuki (Osaka Univ.)  CQ2023-80 |
With the rapid advancement of automation technology, the role of autonomous robots in environmental monitoring and explo... [more] | CQ2023-80 pp.56-61 |
| 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 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 14:20 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) NC2023-3 IBISML2023-3 |
X-ray absorption spectra are known as a useful experimental measurement technique for crystal structure analysis. Spectr... [more] | NC2023-3 IBISML2023-3 pp.17-24 |
| 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 |
The use of intelligent reflecting surface (IRS), which is a surface arrangement of elements that can control the phase o... [more] | SRW2023-4 pp.19-24 |
| 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 |
| IT | 2022-07-22 13:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
An Efficient Algorithm for Optimal Decision on Piecewise Linear Regression Model by Bayes Decision Theory Noboru Namegaya, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-25 |
In this study, we propose a Beyes-optimal prediction method on a piecewise linear regression model by Bayes decision the... [more] | IT2022-25 pp.51-55 |
| IT | 2022-07-22 14:15 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26 |
It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] | IT2022-26 pp.56-60 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 15:05 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47 |
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] | SeMI2022-47 pp.127-132 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| CAS, SIP, VLD, MSS | 2022-06-17 14:55 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Construction of scoring probability model based on service landing location and ranking points in men's professional tennis matches Fumiya Shimizu, Eiji Konaka (Meijo Univ.) CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 |
In tennis matches, service is regarded as the most important shot that affects the match outcome. The main objective of... [more] |
CAS2022-16 VLD2022-16 SIP2022-47 MSS2022-16 pp.84-89 |
| 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 |
| SANE | 2022-01-18 11:30 |
Tokyo | ENRI (Primary: On-site, Secondary: Online) |
Improvements of Trajectory Estimation for Commercial Aircraft by using Gaussian Process Regression
-- Modeling Calibrated Airspeed of Descending Aircraft in Terminal Airspace -- Daichi Toratani (MPAT, ENRI) SANE2021-86 |
Trajectory prediction technique for commercial aircraft is an important element of air traffic control. Since the trajec... [more] | SANE2021-86 pp.19-24 |
| SS, MSS | 2022-01-11 17:55 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Constructon of Real-Time Win Probability Model in B.LEAGUE Koji Sugie, Eiji Konaka (Meijo Univ.) MSS2021-45 SS2021-32 |
Recently, it is widely investigated that the construction of mathematical models calculating predicted win probability f... [more] | MSS2021-45 SS2021-32 pp.78-82 |
| IN, IA (Joint) |
2021-12-17 14:30 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
Evaluating Prediction of the Access Counts of Videos Using Metadata as a Learning Parameter Gen Koujitani, Masaya Nakayama (Univ. Tokyo) IA2021-47 |
In order to predict the number of accesses to videos posted on video sharing services, we performed regression predictio... [more] | IA2021-47 pp.77-84 |
| MI, MICT [detail] | 2021-11-05 10:00 |
Online | Online | [Short Paper]
Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of parotid glands Kohei Fujiwara, Takeda Keita, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MICT2021-30 MI2021-28 |
The purpose of this study was to predict the response to treatment of SS from ultrasound (US) images of salivary glands ... [more] | MICT2021-30 MI2021-28 pp.15-16 |
| IT | 2021-07-09 13:00 |
Online | Online | Bayesian Optimal Prediction and Its Approximation Algorithm for the Difference of Response Variables with and without Measures Considering Individual Differences by Assuming Latent Clusters Taisuke Ishiwatari (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-23 |
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] | IT2021-23 pp.45-50 |
| NLP, CCS | 2021-06-11 10:50 |
Online | Online | A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-3 CCS2021-3 |
Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated ... [more] | NLP2021-3 CCS2021-3 pp.10-13 |
| EMM | 2021-03-05 09:30 |
Online | Online | An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75 |
In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted dom... [more] | EMM2020-75 pp.46-51 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information Takeshi Saga, Hiroki Tanaka (NAIST), Hidemi Iwasaka (Nara Med. Univ.), Satoshi Nakamura (NAIST) |
Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily commun... [more] | |
| SDM | 2020-11-19 14:10 |
Online | Online | [Invited Talk]
Prediction model of dielectric constants of perovskite-type oxides by first-principles calculations and materials informatics Yusuke Noda (Kanazawa Gakuin Univ.) SDM2020-25 |
The aim of this study is to clarify the relationship between the dielectric constants and other physical and chemical pr... [more] | SDM2020-25 pp.15-20 |
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