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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Fusion Science and Technology
July 2025
Latest News
Hash Hashemian: Visionary leadership
As Dr. Hashem M. “Hash” Hashemian prepares to step into his term as President of the American Nuclear Society, he is clear that he wants to make the most of this unique moment.
A groundswell in public approval of nuclear is finding a home in growing governmental support that is backed by a tailwind of technological innovation. “Now is a good time to be in nuclear,” Hashemian said, as he explained the criticality of this moment and what he hoped to accomplish as president.
S. González, J. Vega, A. Murari, JET-EFDA Contributors
Fusion Science and Technology | Volume 58 | Number 3 | November 2010 | Pages 763-770
Selected Paper from Sixth Fusion Data Validation Workshop 2010 (Part 2) | doi.org/10.13182/FST10-A10925
Articles are hosted by Taylor and Francis Online.
Visible light and infrared cameras allow the acquisition of plasma movies during discharges. A great amount of data from video-movies is stored for every discharge, and therefore, automatic methods for image processing are required. In this paper we describe an automatic off-line technique for plasma movie analysis. Support vector regression, a constructive learning procedure based on the statistical learning theory, is used to retrieve information from movie frames. The developed technique is applied to locate generic events during movies, to recognize regions of interest (ROI) in single frames, and to study the evolution of these ROI during plasma discharges. The technique has been tested using JET real video-movies of both infrared and visible light cameras.