Overview of Intelligent Data Retrieval Methods for Similar Waveforms in Fusion Databases

doi:10.3969/j.issn.1006-2475.2014.10.022

Abstract

Abstract: There has been drastic data growth in many fusion plasma experiments. Some intelligent data retrieval methods to find similar waveforms have become indispensable for accelerating data recognition and analysis. Two very general approaches to search for similar waveforms are considered: searching for entire waveforms and searching subsequences within waveforms. LABCOM group of Japan and JET-EFDA group of the EU have done a lot of research in this area, and got many achievements. This paper reviews the fundamental idea and key technologies of data retrieval methods for similar waveforms, compares and shows their advantages as well as limitations. Finally, some future research trends are given.
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Key words: nuclear fusion, similar waveform, data retrieval, structural pattern recognition, time series

CLC Number:

TP39

LIU Ying, HUANG Jian-jun, QI Bing, RU Li-li, WANG Fan. Overview of Intelligent Data Retrieval Methods for Similar Waveforms in Fusion Databases[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.10.022.

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