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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.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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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Latest News
Vogtle-4 enters commercial operation
GUnit 4 at Georgia Power’s Plant Vogtle has entered commercial operation, the company announced today. The new unit can produce enough electricity to power an estimated 500,000 homes and businesses, according to the company.
Jinhui Liu, Fangyu Gu
Nuclear Technology | Volume 140 | Number 2 | November 2002 | Pages 164-168
Technical Paper | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies | doi.org/10.13182/NT02-A3330
Articles are hosted by Taylor and Francis Online.
This paper presents a new mass and energy estimating method for loose parts (LPs) combining the Karhunen-Loève (K-L) transform and neural network theories in the frequency domain. The detection of LPs was performed using simulated acoustic sensors mounted on the wall of a simulator of a reactor vessel. The impact events were simulated by simple pendulums. The data sampled in the time domain was changed to power spectral densities in the frequency domain using the fast Fourier transform. Then, the K-L transform was used to compress the original information. The final feature space's dimensions can be much less than the original ones. And, the original information remains as much as possible. The experiment showed that the impact characteristics of the LPs could be exactly depicted in the compressed feature space. The calculated mass values were approximately equal to the actual ones.