• Title/Summary/Keyword: Multifractal analysis

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RELATIVE MULTIFRACTAL SPECTRUM

  • Attia, Najmeddine
    • Communications of the Korean Mathematical Society
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    • v.33 no.2
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    • pp.459-471
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    • 2018
  • We obtain a relation between generalized Hausdorff and packing multifractal premeasures and generalized Hausdorff and packing multifractal measures. As an application, we study a general formalism for the multifractal analysis of one probability measure with respect to an other.

NOTE ON THE MULTIFRACTAL MEASURES OF CARTESIAN PRODUCT SETS

  • Attia, Najmeddine;Guedri, Rihab;Guizani, Omrane
    • Communications of the Korean Mathematical Society
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    • v.37 no.4
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    • pp.1073-1097
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    • 2022
  • In this paper, we shall be concerned with evaluation of multifractal Hausdorff measure 𝓗q,t𝜇 and multifractal packing measure 𝓟q,t𝜇 of Cartesian product sets by means of the measure of their components. This is done by investigating the density result introduced in [34]. As a consequence, we get the inequalities related to the multifractal dimension functions, proved in [35], by using a unified method for all the inequalities. Finally, we discuss the extension of our approach to studying the multifractal Hewitt-Stromberg measures of Cartesian product sets.

A structural health monitoring system based on multifractal detrended cross-correlation analysis

  • Lin, Tzu-Kang;Chien, Yi-Hsiu
    • Structural Engineering and Mechanics
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    • v.63 no.6
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    • pp.751-760
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    • 2017
  • In recent years, multifractal-based analysis methods have been widely applied in engineering. Among these methods, multifractal detrended cross-correlation analysis (MFDXA), a branch of fractal analysis, has been successfully applied in the fields of finance and biomedicine. For its great potential in reflecting the subtle characteristic among signals, a structural health monitoring (SHM) system based on MFDXA is proposed. In this system, damage assessment is conducted by exploiting the concept of multifractal theory to quantify the complexity of the vibration signal measured from a structure. According to the proposed algorithm, the damage condition is first distinguished by multifractal detrended fluctuation analysis. Subsequently, the relationship between the q-order, q-order detrended covariance, and length of segment is further explored. The dissimilarity between damaged and undamaged cases is visualized on contour diagrams, and the damage location can thus be detected using signals measured from different floors. Moreover, a damage index is proposed to efficiently enhance the SHM process. A seven-story benchmark structure, located at the National Center for Research on Earthquake Engineering (NCREE), was employed for an experimental verification to demonstrate the performance of the proposed SHM algorithm. According to the results, the damage condition and orientation could be correctly identified using the MFDXA algorithm and the proposed damage index. Since only the ambient vibration signal is required along with a set of initial reference measurements, the proposed SHM system can provide a lower cost, efficient, and reliable monitoring process.

Mutifractal Analysis of Perturbed Cantor Sets

  • Baek, Hun Ki;Lee, Hung Hwan
    • Kyungpook Mathematical Journal
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    • v.45 no.4
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    • pp.503-510
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    • 2005
  • Let $\left{K_{\alpha}\right}_{{\alpha}{\in}{\mathbb{R}}}$ be the multifractal spectrums of a perturbed Cantor set K. We find the set of values ${\alpha}$ of nonempty set $K_{\alpha}$ by using the Birkhoff ergodic theorem. And we also show that such $K_{\alpha}$ is a fractal set in the sense of Taylor [12].

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Applicability of a Space-time Rainfall Downscaling Algorithm Based on Multifractal Framework in Modeling Heavy Rainfall Events in Korean Peninsula (강우의 시공간적 멀티프랙탈 특성에 기반을 둔 강우다운스케일링 기법의 한반도 호우사상에 대한 적용성 평가)

  • Lee, Dongryul;Lee, Jinsoo;Kim, Dongkyun
    • Journal of Korea Water Resources Association
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    • v.47 no.9
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    • pp.839-852
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    • 2014
  • This study analyzed the applicability of a rainfall downscaling algorithm in space-time multifractal framework (RDSTMF) in Korean Peninsula. To achieve this purpose, the 8 heavy rainfall events that occurred in Korea during the period between 2008 and 2012 were analyzed using the radar rainfall imagery. The result of the analysis indicated that there is a strong tendency of the multifractality for all 8 heavy rainfall events. Based on the multifractal exponents obtained from the analysis, the parameters of the RDSTMF were obtained and the relationship between the average intensity of the rainfall events and the parameters of the RDSTMF was developed. Based on this relationship, the synthetic space-time rainfall fields were generated using the RDSTMF. Then, the generated synthetic space-time rainfall fields were compared to the observation. The result of the comparison indicated that the RDSTMF can accurately reproduce the multifractal exponents of the observed rainfall field up to 3rd order and the cumulative density function of the observed space-time rainfall field with a reasoable accuracy.

Multifractal Classification of the Disturbed Areas of the Sidi Chennane Phosphate Deposit, Morocco

  • Ayad, Abderrahim;Bakkali, Saad
    • Economic and Environmental Geology
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    • v.55 no.3
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    • pp.231-239
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    • 2022
  • The irregular shape of the disturbances is a fundamental issue for mining engineers at the Sidi Chennane phosphate deposit in Morocco. A precise classification of disturbed areas is therefore necessary to understand their part in the overall volume of phosphate. In this paper, we investigate the theoretical and practical aspects of studying and measuring multifractal spectrums as a defining and representative parameter for distinguishing between the phosphate deposit of a low rate of disturbances and the deposit of a high rate. An empirical multifractal approach was used by analyzing the disturbed areas through the geoelectric images of an area located in the Sidi Chennane phosphate deposit. The Generalized fractal dimension, D(q), the Singularities of strength, α(q), the local dimension, f(α) and their conjugate parameter the mass exponent, τ(q) as well as f(α)-α spectrum were the common multifractal parameters used. The results reported show wide variations of the analyzed images, indicating that the multifractal analysis is an indicator for evaluate and characterize the disturbed areas within the phosphates deposits through the studied geoelectric images. This could be the starting point for future work aimed at improving phosphate exploration planning.

MULTIFRACTAL ANALYSIS OF A GENERAL CODING SPACE

  • Baek, In Soo
    • Journal of the Chungcheong Mathematical Society
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    • v.19 no.4
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    • pp.357-364
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    • 2006
  • We study Hausdorff and packing dimensions of subsets of a general coding space with a generalized ultra metric from a multifractal spectrum induced by a self-similar measure on a self-similar Cantor set using a function satisfying a H${\ddot{o}}$older condition.

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MULTIFRACTAL ANALYSIS OF A CODING SPACE OF THE CANTOR SET

  • Baek, In Soo
    • Korean Journal of Mathematics
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    • v.12 no.1
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    • pp.1-5
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    • 2004
  • We study Hausdorff and packing dimensions of subsets of a coding space with an ultra metric from a multifractal spectrum induced by a self-similar measure on a Cantor set using a function satisfying a H$\ddot{o}$lder condition.

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Applicability of a Multiplicative Random Cascade Model for Disaggregation of Forecasted Rainfalls (예보강우 시간분해를 위한 Multiplicative Cascade 모형의 적용성 평가)

  • Kim, Daeha;Yoon, Sun-Kwon;Kang, Moon Seong;Lee, Kyung-do
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.5
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    • pp.91-99
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    • 2016
  • High resolution rainfall data at 1-hour or a finer scale are essential for reliable flood analysis and forecasting; nevertheless, many observations, forecasts, and climate projections are still given at coarse temporal resolutions. This study aims to evaluate a chaotic method for disaggregation of 6-hour rainfall data sets so as to apply operational 6-hour rainfall forecasts of the Korean Meteorological Association to flood models. We computed parameters of a state-of-the-art multiplicative random cascade model with two combinations of cascades, namely uniform splitting and diversion, using rainfall observations at Seoul station, and compared statistical performance. We additionally disaggregated 6-hour rainfall time series at 58 stations with the uniform splitting and evaluated temporal transferability of the parameters and changes in multifractal properties. Results showed that the uniform splitting outperformed the diversion in reproduction of observed statistics, and hence is better to be used for disaggregation of 6-hour rainfall forecasts. We also found that multifractal properties of rainfall observations has adequate temporal consistency with an indication of gradually increasing rainfall intensity across South Korea.