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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| LOIS | 2023-03-13 15:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Proposal of emergency demand forecasting method based on population projection data by age using large-scale emergency data Masaki Kaneda, Sinan Chen, Masahide Nakamura (Kobe Univ), Sachio Saiki (Kochi Univ of Technology of)  LOIS2022-54 |
In recent years, Japan is facing a super-aging society, which has a wide range of impacts. In particular, the tightness ... [more] | LOIS2022-54 pp.59-65 |
| EE, WPT (Joint) |
2022-10-06 11:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Demonstration Study of Multi-use of Battery Energy Storage Systems by Robust Control
-- Accuracy Evaluation of Demand and Power Generation Predictions -- Miki Ueshima, Kazufumi Yuasa, Yoshiharu Takeuchi, Tadatoshi Babasaki (NTT FACILITIES), Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi (NAIST) EE2022-18 |
This paper presents an overview of a demonstration study of the multiple use of battery energy storage systems, which ai... [more] | EE2022-18 pp.21-24 |
| SS | 2022-03-08 15:55 |
Online | Online | Applying a medium-term prediction method for the number of heat stroke victims to medium-sized local governments Tetsuya Nakai (Kobe Univ.), Sachio Saiki (Kochi tech.), Masahide Nakamura (Kobe Univ.) SS2021-68 |
In our previous research, we proposed a prediction method of the number of heat stroke victims for the next week based o... [more] | SS2021-68 pp.157-162 |
| IA, SITE, IPSJ-IOT [detail] | 2022-03-08 15:45 |
Kyoto | Kyoto University, Yoshida Campus (Primary: On-site, Secondary: Online) |
Dynamic Content Deployment Method Using Content Demand Prediction in Peer-to-Peer Network with Cloud Storage Kazumasa Takahashi, Shinji Sugawara (Chiba Inst. Tech.) SITE2021-63 IA2021-76 |
In recent years, various contents such as documents, music, and movies are actively exchanged among users on the network... [more] | SITE2021-63 IA2021-76 pp.101-106 |
| SAT, SANE (Joint) |
2022-02-24 09:40 |
Online | Online | Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System Masaki Takahashi, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-53 |
Recently, the movement to link satellite communication systems with 5G networks has been accelerated worldwide, which wi... [more] | SAT2021-53 pp.1-6 |
| KBSE, SC | 2020-11-13 11:05 |
Online | Online + Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
Analyzing and Predicting Ambulance Demand for Heat Stroke Using Fine-grained Dispatch Log Tetsuya Nakai, Sachio Saiki, Masahide Nakamura (Kobe Univ.) KBSE2020-11 SC2020-15 |
In recent years, the number of emergency transports is on the increase The number is expected to continue to grow. As ... [more] |
KBSE2020-11 SC2020-15 pp.13-19 |
| EE, OME, CPM | 2019-11-26 14:50 |
Tokyo | Japan Society for the Promotiton of Machine Industry | Electrical Power Demand Prediction for Optimizing Balance of Power Demand and Supply in Radio Base Station Difei Miyao, Masaki Nakamura, Masayuki Terada, Kazuhiko Takeno (NTT Docomo) EE2019-45 CPM2019-87 OME2019-31 |
In recent years, the adjustment of power supply and demand is a big issue from the separation of electrical power produc... [more] | EE2019-45 CPM2019-87 OME2019-31 pp.53-55 |
| MSS, SS | 2019-01-15 15:55 |
Okinawa | [Invited Talk]
Electricity Demand Forecasting by Machine Learning
-- Potential of Utilizing Numerical Weather Prediction by Machine Learning -- Hiromasa Shin, Yoshiaki Shiga, Mitsuru Kakimoto (Toshiba) MSS2018-64 SS2018-35 |
An accurate electricity demand forecasting is indispensable for economical operation of power system. We have been devel... [more] | MSS2018-64 SS2018-35 pp.55-56 |
|
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2017-07-26 17:30 |
Akita | Akita Atorion-Building (Akita) | Color-based Distributed and Cooperative Cache Control using Prediction of Access Change Susumu Chida, Takayuki Shiroma, Takuma Nakajima, Celimuge Wu, Tsutomu Yoshinaga (UEC) CPSY2017-23 |
Internet traffic is increasing by the rapid spread of Video-on-Demand services. It is effective to cache popular conten... [more] |
CPSY2017-23 pp.51-56 |
| AI | 2017-02-18 15:00 |
Okayama | Prediction Model for Electric Power Demand in Building on Field Data with Extended Goal Graph and Heterogeneous Mixture Modeling Noriyuki Kushiro, Ami Fukuda (KIT), Toshihiro Mega (MELTEC), Takuro Shimizu (KIT) AI2016-31 |
For realizing energy management and demand response in buildings, standardized interfaces, e.g. BACnet and OpenADR, are ... [more] | AI2016-31 pp.39-44 |
|
| IA, IPSJ-IOT, SITE [detail] | 2015-03-05 15:15 |
Fukushima | Distributed Demand Scheduling Method Based on Grouping by Demand Curve in Smart Grid Akiyuki Imamura, Soushi Yamamoto, Hidetoshi Takeshita (Keio Univ.), Satoru Okamoto, Eiji Oki (UEC), Naoaki Yamanaka (Keio Univ.) SITE2014-65 IA2014-97 |
In smart grid, it is necessary to reduce peak power load for effective operation of power generators. Batch scheduling m... [more] | SITE2014-65 IA2014-97 pp.79-84 |
|
| ICM | 2014-03-14 15:10 |
Okinawa | [Encouragement Talk]
Caching Algorithm Using the Prediction of Content's Demand Hiroki Nakayama, Shingo Ata, Ikuo Oka (Osaka City Univ.) ICM2013-73 |
Cache on the content deployment in network system plays the important role in the aspect of efficient content deliver. S... [more] | ICM2013-73 pp.125-130 |
|
| AI | 2013-07-04 11:50 |
Tokyo | Smart Pricing Scheme Facilitating Scoring Rule based Incentive Payment Shantanu Chakraborty, Takayuki Ito (Nitech) AI2013-5 |
Defining appropriate pricing strategy for smart environment is important and complex at the same time. In our work, we d... [more] | AI2013-5 pp.25-30 |
|
| IN | 2012-04-12 13:30 |
Kyoto | Kyotofu-Chusho-Kigyo-Kaikan | Forecasting individual trends using resolution adaptive arima Hiroki Nakayama, Shingo Ata, Ikuo Oka (Osaka City Univ.) IN2012-1 |
Analyzing and predicting the time series of traffic trends is important in the perspective of network operation and mana... [more] | IN2012-1 pp.1-6 |
| RCS, MoNA, SR (Joint) |
2011-03-02 13:20 |
Kanagawa | YRP | Predicting content requests from social context in mobile content services Hiroyuki Kubo, Ryoichi Shinkuma, Tatsuro Takahashi (Kyoto Univ.), Hiroyuki Kasai (Univ. of Electro-Communications), Kazuhiro Yamaguchi (Kobe Digital Labo), Roy Yates (Rutgers Univ.) MoMuC2010-80 |
Recently, the improved transmission speed and mobile device capability in wireless access networks enable us to use rich... [more] | MoMuC2010-80 pp.7-12 |
| NS | 2011-01-21 13:00 |
Kagawa | Kagawa Univ. | Novel Social-graph Representation to Extract Hidden Common Relations between People Kazufumi Yogo, Ryoichi Shinkuma (Kyoto Univ.), Hiroyuki Kasai (Univ. of Electro-Comm.), Kazuhiro Yamaguchi (Kobe Digital Labo), Tatsuro Takahashi (Kyoto Univ.) NS2010-156 |
Predicting potential demands of people, which the people have not recognized or can not express precisely by themselves,... [more] | NS2010-156 pp.81-84 |
| IN | 2005-07-15 15:30 |
Hokkaido | Hokkaido University | A prediction method of VOD traffic using time series data for number of requests Hiroyuki Kimiyama (NTT), Shuichi Itoh (Univ. of Electro-Communications) |
For cache system design in video-on-demand systems, it is effective to predict how many requests will occure in the futu... [more] | IN2005-55 pp.155-160 |
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