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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Fusion Science and Technology
Latest News
Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
J. Sánchez, S. Dormido-Canto, J. Vega, N. Duro, R. Dormido, S. Dormido
Fusion Science and Technology | Volume 58 | Number 2 | October 2010 | Pages 666-674
Selected Paper from the Sixth Fusion Data Validation Workshop 2010 (Part 1) | doi.org/10.13182/FST10-A10891
Articles are hosted by Taylor and Francis Online.
This paper presents a first attempt to use event-based sampling strategies for signal diagnosis and analysis. This approach was developed in the control-engineering field. In an event-based sampling approach, a specific event trigger - not the time - instructs the sensor to grab a sample of the signal's current state and send the signal to the digital processing system. In this document, the concept of sampling based on events is discussed, and seven event-based strategies are presented. Also, applications of these sampling approaches for phenomena detection in waveforms are given. This experimental study provides new insights for applications that benefit from these event-based sampling techniques.
