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 |
DOI | 10.1109/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 |
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 | |
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 |
推荐引用方式 GB/T 7714 | 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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