ホウチン　テルヒサ   Teruhisa Hochin   寶珍　輝尚    所属   追手門学院大学  理工学部 情報工学科    職種   教授
言語種別	英語
発行・発表の年月	2019/05
形態種別	論文
査読	査読あり
標題	Prediction of Abnormal Plasma Discharge through Machine Learning
執筆形態	共著・編著（代表編著を除く）
掲載誌名	Proceedings - 2019 6th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2019
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.7-12
著者・共著者	Shota Nakagawa,Teruhisa Hochin,Hiroki Nomiya,Hideya Nakanishi,Mamoru Shoji
概要	High-temperature plasma discharge experiments have been conducted at the National Institute for Fusion Science. Visible light emission is observed after the plasma ignition is started, which has contributed to monitoring the plasma discharge condition for guaranteeing the safe operation in the experiments. The future plasma discharge condition has to be prospected in order to avoid dangerous situations in which the plasma can destroy the devices inside of the machine. In this paper, we aimed to predict the abnormal emission in plasma videos. This paper proposes methods to predict an abnormal visible light emission inside of the machine using support vector machine (SVM) and neural network (NN). Consequently, we confirmed that the abnormal emission can be predicted with an accuracy rate of 85.8% by using NN, and 96.5% by using SVM.
DOI	10.1109/CSII.2019.00009
DBLP ID	conf/csii/NakagawaHNNS19
PermalinkURL	https://dblp.uni-trier.de/rec/conf/csii/2019
researchmap用URL	https://dblp.uni-trier.de/db/conf/csii/csii2019.html#NakagawaHNNS19