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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| HCS | 2022-10-27 13:50 |
Online | Online | Modeling of Animacy Perception Generation Processes Generated by Interaction
-- Examination of the influence of the stop-time of the object -- Yuna Adachi, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) HCS2022-50 |
The purpose of this study is to construct a model for the process of generating animacy perception toward a robot during... [more] | HCS2022-50 pp.12-17 |
| MICT, EMCJ (Joint) |
2022-03-04 16:25 |
Online | Online | A synchronized measurement system for WBAN channel modeling by human motion parameters Akira Saito, Takahiro Aoyagi (Tokyo Tech) MICT2021-111 |
The development of WBAN channel models requires a lot of experiments and simulations. In order to reduce the number of e... [more] | MICT2021-111 pp.53-58 |
| CAS, CS | 2022-03-04 10:30 |
Online | Online | Automatic Path Following Control and Experimental Verification for Mobile Robots Based on Just-In-Time Modeling Shoichi Miyagaitsu, Tatsuya Kai (Tokyo Univ. of Science) CAS2021-89 CS2021-91 |
The purpose of this study is to develop a new data-driven control method based on just-in-time modeling for the automati... [more] | CAS2021-89 CS2021-91 pp.81-86 |
| AI | 2022-02-28 11:00 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
Behavior Prediction of Cervus nippon Considering Environmental Factors by Time-Series Transformer Kentaro Kazama, Katsuhide Fujita, Shinsuke Koike (TUAT) AI2021-15 |
In order to prevent damage to agriculture and forestry caused by wild animals, new wildlife management methods are requi... [more] | AI2021-15 pp.19-24 |
| MBE, NC (Joint) |
2020-12-18 15:40 |
Online | Online | Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] | NC2020-30 pp.13-18 |
| SRW, SeMI, CNR (Joint) |
2019-11-05 09:20 |
Tokyo | Kozo Keisaku Engineering Inc. | Control Air Ventilation Based on Prediction of Occupancy for Saving Energy Sotaro Maejima, Hiroyuki Maeomichi (NTT), Toshihiko Akioka, Masatoshi Yokoi (NTT West) SeMI2019-62 |
In recent years, energy saving for commercial air conditioning based on Building Energy Management System (BEMS) is attr... [more] | SeMI2019-62 pp.1-6 |
| NLP | 2019-09-24 11:05 |
Kochi | Eikokuji Campus, University of Kochi | Reservoir Computing using Coupled Stuart-Landau Oscillators Shoya Nakajima, Yuichi Katori (FUN) NLP2019-54 |
Reservoir computing is a framework of recurrent neural network that learns time series, and is used in various research ... [more] | NLP2019-54 pp.99-104 |
| MSS, CAS, SIP, VLD | 2019-07-30 10:45 |
Iwate | Iwate Univ. | Modeling and Prediction of Time Time-Series
-- A Case Study with Forex Data -- Shiao Yi Chen, Goutam Chakraborty, Chen Shin Fu (IPU) CAS2019-2 VLD2019-8 SIP2019-18 MSS2019-2 |
Time series data reveals dynamic behavior of systems in real life, such as traffic flow, amount of rainfall, usage of el... [more] | CAS2019-2 VLD2019-8 SIP2019-18 MSS2019-2 pp.7-10 |
| ET | 2018-03-03 16:05 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Modeling the temporal change of student proficiency using records in e-learning Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132 |
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] | ET2017-132 pp.249-252 |
| PRMU, IE, MI, SIP | 2017-05-25 17:00 |
Aichi | [Special Talk]
Real-time Forecasting of Big Time-series Data: Foundations and Challenges Yasushi Sakurai (Kumamoto Univ.) SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 |
Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large col... [more] | SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 p.61 |
|
| IA, IN (Joint) |
2016-12-15 13:35 |
Hiroshima | Hiroshima city university | [Invited Talk]
Real-time Modeling and Forecasting of Big Time-series Data Yasuko Matsubara (Kumamoto Univ.) IN2016-70 IA2016-64 |
Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the... [more] | IN2016-70 IA2016-64 pp.23-28(IN), pp.5-10(IA) |
| IN | 2015-10-15 14:30 |
Osaka | Osaka University | Time series analysis of failure rates of equipments for telecommunication networks. Hiroyuki Funakoshi, Tatsuya Matsukawa, Takuma Tsubaki (NTT) IN2015-53 |
The failure rates of equipments for telecommunication networks are time series. Therefore, time series analysis is requi... [more] | IN2015-53 pp.1-6 |
| ASN | 2013-11-29 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | State Adaptive Autoregressive Model for Estimation of Signal Stationarity Masatoshi Sekine, Kurato Maeno (OKI) ASN2013-114 |
In this paper, we propose a time-series model that is used for the evaluation of the stationarity of time series signal ... [more] | ASN2013-114 pp.129-134 |
| NLP | 2013-10-29 10:00 |
Kagawa | Sanport Hall Takamatsu | Modeling of BOLD signal in response to visual stimuli Takashi Matsubara (Osaka Univ.), Hiroyuki Torikai (Kyoto Sangyo Univ.), Tetuya Shimokawa, Kenji Leibnitz, Ferdinand Peper (CiNet) NLP2013-93 |
This paper presents a nonlinear model of human brain response to visual stimuli according to BOLD signal scanned by fMRI... [more] | NLP2013-93 pp.123-126 |
| SIS | 2013-06-14 10:50 |
Kagoshima | Houzan Hall (Kagoshima) | Modeling for Events characterizing Simultaneous Change in Time Series Parameters by using Coupled Pricing and Parameter Estimation based on Bayesian Method Shozo Tokinaga (Kyushu Univ.), Yoshikazu Ikeda (Kitakyushu Univ.) SIS2013-11 |
This report deals with modeling for events characterizing simultaneous change in time series parameters by using co... [more] |
SIS2013-11 pp.53-58 |
| NC, NLP | 2013-01-24 13:50 |
Hokkaido | Hokkaido University Centennial Memory Hall | A probabilistic model of television commercial markets Hiroyuki Kyan, Jun-ichi Inoue (Hokkaido Univ.) NLP2012-114 NC2012-104 |
We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a `t... [more] |
NLP2012-114 NC2012-104 pp.61-66 |
| NLC | 2012-08-30 16:15 |
Kanagawa | Fuji Xerox | Estimation and Analysis of Topic Models in Time Series Japanese/Chinese News and Blogs Shuo Hu, Liyi Zheng, Yusuke Takahashi, Daichi Koike, Kensaku Makita, Takehito Utsuro (Univ. of Tsukuba), Masaharu Yoshioka (Hokkaido Univ.) NLC2012-14 |
This paper studies issues regarding topic modeling of information flow in multilingual news and blog streams. If someo... [more] |
NLC2012-14 pp.25-30 |
| NC | 2011-07-26 09:30 |
Hyogo | Graduate School of Engineering, Kobe University | Statistical estimation of non-uniform dendritic membrane properties Toshiaki Omori (Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Tech.), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-32 |
We propose a statistical algorithm for extracting non-uniform dendritic membrane properties from partially observable no... [more] | NC2011-32 pp.65-70 |
| SIS | 2010-03-04 10:30 |
Kanagawa | Kanagawa Institute of Technology | Classification of Agents' Behavior from Stock Prices in the Artificial Stock Markets consisting of Multi-agents with Evolutionary Learning by applying Estimation of Jump Markov Systems by using Particle Filters Shozo Tokinaga (Kyushu Univ), Yoshinori Kishikawa (Ube Tec Coll) SIS2009-48 |
This report delas with the classification of agents' behavior from stock prices in artificial stock markets consist... [more] |
SIS2009-48 pp.1-6 |
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