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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
Standards Program
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
Tank waste operations resume at Idaho’s IWTU
The Department of Energy’s Office of Environmental Management announced yesterday that waste processing operations have resumed at the Integrated Waste Treatment Unit (IWTU) at the Idaho National Laboratory Site. The resumption of operations follows the completion of two maintenance campaigns at the radioactive liquid waste treatment facility.
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.