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	2024/07
形態種別	論文
査読	査読あり
標題	Generation of Plasma Discharge Video from a Single Frame by Using Conditional GAN
執筆形態	共著・編著（代表編著を除く）
掲載誌名	the 26th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2024-Summer III)
掲載区分	国外
巻・号・頁	pp.147-153
著者・共著者	Tran Vo Khanh Ngan,Teruhisa Hochin,Hiroki Nomiya,Hideya Nakanishi,Mamoru Shoji
概要	At the National Institute for Fusion Science, high-temperature plasma is generated in the Large Helical Device (LHD). Numerous videos capturing plasma discharges during nuclear fusion experiments have been recorded. Analyzing these videos may unveil new discoveries and ensure the safe operation of experiments. Thus, estimating the future states of plasma light emission is essential for optimizing operational parameters in experiments. In current methods for plasma video prediction, a sequence of multiple frames is typically used as input to analyze visual movement trends and predict future plasma discharge conditions or generate future frames in plasma videos. Our study focuses on a more challenging task of video prediction using a single frame of plasma image. We propose a method for predicting sequential future frames containing the image of the visible light from the plasma based on a single given frame by using a conditional GAN model. We experimentally evaluate this approach and find that our proposed method accurately forecasts the future states of plasma images in each frame of the videos.
DOI	10.1109/BCD61269.2024.10743109