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Multi-fractal Property and Long-Range Correlation of Chaotic Time Series
Deng LH(邓林华)
会议录名称Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
2016-10-31
页码1361-1365
DOI10.1109/ICISCE.2016.290
会议录编者/会议主办者Li, SZ; Dai, Y; Cheng, Y
产权排序第1完成单位
收录类别CPCI ; EI
会议名称3rd International Conference on Information Science and Control Engineering, ICISCE 2016
会议日期2016-07-08
会议地点Beijing, PEOPLES R CHINA
会议赞助商IEEE; IEEE Comp Soc; Univ Texas San Antonio; Beijing Univ Civil Engn & Architecture; Univ Hull; Xiamen Univ; China Jiliang Univ; Hunan Univ Humanities Sci & Technol; Iwate Prefectural Univ; Univ Amoiensis
关键词Information Processing Time Series Analysis Hurst Exponent Multi-fractal Analysis Long-range Correlation
摘要

The multi-fractal structure and long-range memory reveal the scale invariance of irregular objects in nature, and have been the subject of substantial interest due to the wide range of phenomena associated with many aspects, appearing in several scientific areas. Two quantitative analysis approaches, including multi-fractal analysis and rescaled range analysis, are combined to analyze the magnetic complexity and multi-fractal behavior of solar Ha flare activity. The following prominent results are found: (1) The calculated values of Hurst exponent for solar flare activity lie in between 0.8362 and 0.9420, exhibiting the persistent behavior of long-range correlation, (2) The values of fractal dimension reflect that solar flare activity in the northern hemisphere is more irregular than that in the southern hemisphere and in the whole solar disk, (3) The values of predictability indicator of solar flare activity are larger than 0.5, implying that solar flare activity is predictable and chaotic in nature, (4) The widths of singularity spectra indicate that solar flare activity has multi-fractal behavior and such multi-fractal nature is due to long-range correlation. These findings may be instructive to the physical processes of flare energy storage and dissipation, and to be useful for predicting solar flare eruption. © 2016 IEEE.

资助项目Found of Sichuan University of Science and Engineering[2015RC43] ; National Natural Science Foundation of China (NSFC)[11503082]
项目资助者Found of Sichuan University of Science and Engineering ; National Natural Science Foundation of China (NSFC)
语种英语
学科领域天文学 ; 太阳与太阳系 ; 太阳与太阳系其他学科 ; 电子、通信与自动控制技术
学科门类理学 ; 理学::天文学 ; 工学 ; 工学::信息与通信工程 ; 工学::控制科学与工程
文章类型Proceedings Paper
出版者Institute of Electrical and Electronics Engineers (IEEE) Inc.
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN号978-1-5090-2535-0
URL查看原文
归档日期2016-12-30
WOS记录号WOS:000390690700280
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Theory & Methods
关键词[WOS]Solar-flare Geometries ; Low-dimensional Chaos ; Nonlinear-analysis ; Recurrence Plots ; Index ; Complexity ; Dependence ; Behavior
EI入藏号20165003107115
EI主题词Fractal dimension
EI分类号921mathematics - 922.2mathematical Statistics
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/9797
专题抚仙湖太阳观测和研究基地
通讯作者Deng LH(邓林华)
作者单位Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, P.R. China
第一作者单位中国科学院云南天文台
通讯作者单位中国科学院云南天文台
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Deng LH. Multi-fractal Property and Long-Range Correlation of Chaotic Time Series[C]//Li, SZ; Dai, Y; Cheng, Y. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers (IEEE) Inc.,2016:1361-1365.
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