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 |
DOI | 10.1016/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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