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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA | 2024-01-25 16:40 |
Tokyo | Kwansei Gakuin Univiversity, Marunouchi Campus (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Dust Forecasting using ARIMA and ARIMAX Models Nuntouchaporn Prateepausanont (College of digital science, Prince of Songkla Univ.), Anny Mardjo (Prince of Songkla Univ. , Trang Campus), Chidchanok Choksuchat, Korakot Wichitsa-nguan Jetwanna, Thanathip Limna (Prince of Songkla Univ.)  IA2023-69 |
Southern Thailand faces air pollution problems from transboundary haze, as shown in the Pollution Control Department, ca... [more] | IA2023-69 pp.52-57 |
| ICM | 2020-07-17 13:25 |
Online | Online | Development of VDI Quality Analysis System
-- Anomaly Detection of Service Quality and Cause Analysis -- Shinji Yamashita, Hitoshi Ueno (Fujitsu Lab.), Takuya Nitta (Fujitsu), Hiroshi Tomonaga, Masato Okuda (Fujitsu Lab.) ICM2020-17 |
Due to the influence of recent COVID-19 virus, telework has been penetrated rapidly and regarded as a standard workstyle... [more] | ICM2020-17 pp.55-60 |
| SC | 2020-05-29 15:45 |
Online | Online | A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques Chun-Yuan Lai, Goutam Chakraborty (Iwate Prefectural University), Rung-Ching Chen (Chaoyang University), Masafumi Matsuhara (Iwate Prefectural University) SC2020-4 |
A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques [more] | SC2020-4 pp.19-24 |
| CCS, IN (Joint) |
2019-08-02 15:20 |
Hokkaido | KIKI SHIRETOKO NATURAL RESORT | Traffic Prediction by Extracting Users' Access Patterns Yuka Komai (NTT), Tatsuaki Kimura (Osaka Univ.), Masahiro Kobayashi, Shigeaki Harada (NTT) IN2019-22 |
Due to the emergence of diverse network services and devices, traffic patterns in recent networks become highly complica... [more] | IN2019-22 pp.43-46 |
| NS, IN (Joint) |
2018-03-02 13:10 |
Miyazaki | Phoenix Seagaia Resort | Network state change detection using deep learning Keiichi Nakatsugawa, Shinji Yamashita, Masato Okuda (FUJITSU LAB.) NS2017-225 |
With scale up of networks and diversification of communication services, it is expected to advance network operation and... [more] | NS2017-225 pp.321-326 |
| MICT, ASN, MoNA (Joint) |
2016-01-29 10:15 |
Kanagawa | Hotel Okada | Analysis of Family Electricity Data Obtained by Smart Meters Kazuki Omomo, Yuta Kobiyama, Qiangfu Zhao (Univ. Aizu) ASN2015-90 |
In this paper, by using electricity data obtained by smart meters located in residential houses, we try to predict futur... [more] | ASN2015-90 pp.63-68 |
| 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 |
| R | 2013-10-18 13:55 |
Fukuoka | A Neural Network Model for Forecasting Precipitation Extreme Junaida Sulaiman, Darwis Herdianti, Hideo Hirose (Kyushu Inst. of Tech.) R2013-65 |
Several days of precipitation can increase the magnitude of accumulated water in a basin. This can cause the lower area ... [more] | R2013-65 pp.7-12 |
|
| R | 2013-10-18 16:20 |
Fukuoka | Rainfall Intensity Forecasting using the Multiple-input Transfer Function with Application to Makassar Case from 2001 to 2010 Herdianti Darwis, Hideo Hirose (Kyushu Inst. of Tech.) R2013-72 |
Transfer function model combines the causal inputs and output with a kind of convolution. When the input is not single, ... [more] | R2013-72 pp.47-51 |
|
| 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 |
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