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Beyond the classroom: How a corporate-university partnership benefits the community
For the past several years, the University of North Carolina–Wilmington has hosted volunteer instructors from Wilmington-based GE Vernova Hitachi Nuclear Energy who teach engineering courses and engage with students. This guest instructor program has grown under the guidance of Amy Craig Reamer, associate professor of practice and director of engineering in the UNCW College of Science and Engineering’s Department of Computer Science. Under her oversight, an informal but strong public-private partnership has been established to the benefit of UNCW students and the wider Wilmington community.
T. Craciunescu, A. Murari, I. Tiseanu, J. Vega, JET-EFDA Contributors
Fusion Science and Technology | Volume 62 | Number 2 | October 2012 | Pages 339-346
Selected Paper from the Seventh Fusion Data Validation Workshop 2012 (Part 1) | doi.org/10.13182/FST12-A14625
Articles are hosted by Taylor and Francis Online.
Multifaceted asymmetric radiation from the edge (MARFE) instabilities may reduce confinement leading to harmful disruptions. They cause a significant increase in impurity radiation, and therefore, they leave a clear signature in the video data. This information can be exploited for automatic identification and tracking. A MARFE classifier, based on the phase congruency theory, has been developed and adjusted to extract the structural information in the images of Joint European Torus (JET) cameras. This approach has the advantage of using a dimensionless quantity and providing information that is invariant to image illumination, contrast, and magnification. The method was tested on JET experimental data and has proved to provide a good prediction rate.