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Fusion Science and Technology
November 2024
Latest News
Senate committee advances NRC nominee Matthew Marzano
Marzano
The U.S. Senate Environment and Public Works Committee voted 10–9 last week to advance the nomination of Matthew Marzano to serve on the Nuclear Regulatory Commission. It was a party-line vote, with all Democrats supporting Marzano and all Republicans voting “no.”
Marzano was nominated by President Biden in July to fill the open NRC seat, and the EPW Committee held a hearing in September on his nomination. His nomination will now go to the Senate for a vote, but it is not certain whether that will happen before the end of the year, in which case his nomination process would start over in 2025.
The five-member commission has been without a tiebreaker vote since June 2023 when Jeff Baran’s term expired.
M. Santos, A. J. Cantos
Fusion Science and Technology | Volume 58 | Number 2 | October 2010 | Pages 706-713
Selected Paper from the Sixth Fusion Data Validation Workshop 2010 (Part 1) | doi.org/10.13182/FST10-A10895
Articles are hosted by Taylor and Francis Online.
In the analysis and classification of signals from massive databases, it is highly desirable to use automatic mechanisms. The synergy of artificial intelligence and advanced signal processing techniques is becoming very efficient in developing this kind of task. In this work we employ a signal processing strategy based on the wavelet transform and then genetic algorithms for classification purposes. An in-depth analysis of the waveforms has been carried out, and an analytical preprocessing has been applied to prepare the signals for their classification. Each individual of the simulated population represents a classifying rule, composed of an antecedent and a consequent. The codification of the knowledge is one of the main contributions of this paper. This genetic classification system has been applied to six different classes of plasma signals of the TJ-II stellarator database at CIEMAT in Spain with satisfactory results.
