A new subsequence similarity retrieval method based on inverted index in EAST
Wang, Hao1,2,3; Yuan, Qiping2; Hu, Wenhui2; Xiao, Bingjia2; Ji, Zhenshan2; Zhang, Ruirui2; Zhang, Shuguang1
刊名FUSION ENGINEERING AND DESIGN
2022-09-01
卷号182
关键词EAST Subsequence Similarity retrieval Inverted index Pattern recognition
ISSN号0920-3796
DOI10.1016/j.fusengdes.2022.113246
通讯作者Yuan, Qiping(qpyuan@ipp.ac.cn)
英文摘要The analysis technology of massive experimental data is one of the important concerns in the field of nuclear fusion research, and the waveform similarity retrieval is the basis of realizing data mining of discharge experiment. In this work, we proposed an efficient subsequence retrieval method for matching a selected waveform segment in the discharge signal waveform. This method accurately represents the waveform characteristics based on the slope of segment and the drop distance of segment head (DDSH). In order to improve the retrieval efficiency, an inverted index method based on the slope of segment was adopted to filter the discharge signal waveforms and then perform fine retrieving. The retrieval algorithm was implemented based on Python, and was verified with the plasma density and stored energy signals of historical experimental data from EAST mdsplus database. The test results show the retrieval efficiency is improved by 43.6% on average after using slope inverted index.
资助项目National MCF Energy R&D Program of China[2018YFE0302100] ; National Natural Science Foundation of China[12075285] ; National Natural Science Foundation of China[U1867222] ; President Foundation of Hefei Institutes of Physical Science Chinese Academy of Sciences[YZJJ2020QN11]
WOS关键词TIME ; SEARCH
WOS研究方向Nuclear Science & Technology
语种英语
出版者ELSEVIER SCIENCE SA
WOS记录号WOS:000858937100003
资助机构National MCF Energy R&D Program of China ; National Natural Science Foundation of China ; President Foundation of Hefei Institutes of Physical Science Chinese Academy of Sciences
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129175]  
专题中国科学院合肥物质科学研究院
通讯作者Yuan, Qiping
作者单位1.Anhui Jianzhu Univ, Hefei 230022, Peoples R China
2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Univ Sci & Technol China, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714
Wang, Hao,Yuan, Qiping,Hu, Wenhui,et al. A new subsequence similarity retrieval method based on inverted index in EAST[J]. FUSION ENGINEERING AND DESIGN,2022,182.
APA Wang, Hao.,Yuan, Qiping.,Hu, Wenhui.,Xiao, Bingjia.,Ji, Zhenshan.,...&Zhang, Shuguang.(2022).A new subsequence similarity retrieval method based on inverted index in EAST.FUSION ENGINEERING AND DESIGN,182.
MLA Wang, Hao,et al."A new subsequence similarity retrieval method based on inverted index in EAST".FUSION ENGINEERING AND DESIGN 182(2022).
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