Abstract
Nuclear engineering is an integrated engineering field of mechanical and civil engineering, partical physics as well as fluid and thermodynamics. Researchers in nuclear engineering fields need to treat extensive physical and engineering information obtained through theories, simulations, experiments and observations in order to promote a nuclear technology safely and securely. To meet the need, the Cognitive methodology-based Data Analysis System (CDAS) which equips information technologies that have recognition abilities similar to those of humans has been developed. The system supports researchers to analyze numerical simulation data by using extensive scientific knowledge. In the present study, information technology is developed for performing these processes and for configuring systems. In addition, a prototype system has been constructed using this information technology and an application experiment using a virtual plant vibration simulator has been performed to confirm the implementability of the system. The results obtained demonstrate that the CDAS enables researchers to dynamically set essential functions for evaluation and judgment, enabling them to readily extract meaningful and reliable information from large-scale data of up to 1 TB.
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Kino, C., Suzuki, Y., Kushida, N., Nishida, A., Hayashi, S., Nakajima, N. (2009). Development of Cognitive Methodology based Data Analysis System. In: Resch, M., et al. High Performance Computing on Vector Systems 2008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85869-0_9
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DOI: https://doi.org/10.1007/978-3-540-85869-0_9
Publisher Name: Springer, Berlin, Heidelberg
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