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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
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Günyaz Ablay, Can Emre Koksal, Tunc Aldemir
Nuclear Science and Engineering | Volume 170 | Number 1 | January 2012 | Pages 27-43
Technical Paper | doi.org/10.13182/NSE10-21
Articles are hosted by Taylor and Francis Online.
A secure long-distance monitoring scheme is proposed for nuclear engineering applications using chaos synchronization and nonlinear observers for online transmittal of operational data, distance monitoring, fault detection, and other related processes. The proposed system consists of three components: (a) chaotic transmitter to encrypt and send signals coming from a message originating system, (b) chaotic receiver to decrypt information signals, and (c) reconstruction of the message originating system using the decrypted signals. The Lorenz chaotic system whose parameters are defined as nonlinear functions of the state variables to improve the security level of the chaos-based communication is considered as the chaotic encrypter. In the receiver section, a nonlinear observer is used to provide synchronization and to decrypt the message signal. A similar nonlinear observer is employed to reconstruct the message originating system state variables from the recovered message signal. Numerical results and case studies against certain passive eavesdropping attacks are provided to demonstrate the resilience of the proposed method. A reduced-order boiling water reactor model is used as the message originating system in the illustrations.