ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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!
Latest Magazine Issues
Jan 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Feinstein Institutes to research novel radiation countermeasure
The Feinstein Institutes for Medical Research, home of the research institutes of New York’s Northwell Health, announced it has received a five-year, $2.9 million grant from the National Institutes of Health to investigate the potential of human ghrelin, a naturally occurring hormone, as a medical countermeasure against radiation-induced gastrointestinal syndrome (GI-ARS).
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Tuesday, July 18, 2023|10:00–11:45AM EDT|301E
Session Chair:
Nancy J. Lybeck
Alternate Chair:
Jamie Coble (University of Tennessee-Knoxville)
Session Organizer:
Vivek Agarwal
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Use of Novelty Detection or Distance Metrics to Improve Confidence in Machine Learning Algorithm Results
10:00–10:25AM EDT
Nancy J. Lybeck (INL), Cody M. Walker (INL), Vivek Agarwal (INL)
Paper
A Study on the Development of a Condition Diagnosis and Failure Prediction System for the Digital Instrumentation and Control System of NPPs
10:25–10:50AM EDT
Chang Hwoi KIm (KAERI), In Seck Jang (KAERI)
Prediction of Trip Parameters and Remaining Trip Time with Uncertainty Estimation in Abnormal Situations of Nuclear Power Plants
10:50–11:15AM EDT
Hyojin Kim (Chosun Univ.), Jonghyun Kim (Chosun Univ.)
Anomaly Detection and Identification Using a Leave-One-Variable-Out Method
11:15–11:40AM EDT
Jacob A. Farber (INL), Ahmad Y. Al Rashdan (INL), Randall Reese (INL)
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