Self-Similarity
Self similarity networks and self similarity network group
... The self-similarity of complex has extensive practical background in real ...the self-similarity network evolving model based on attributes similarity between the ...computing ...
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Large deviation and self-similarity analysis of graphs: DAX stock prices
... We shall see that in some cases, like the Gaussian random walk, both large deviation and self-similarity analysis apply. For fBm (with H = 0.5) only the self-similarity analysis provides a ...
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Self similarity in the conformal framework of quiescent cosmology and the Weyl curvature hypothesis
... as self-similarity is the focus of this ...dynamics, self-similarity is precisely the notion of scale invariance with time, and often allows simplification of the governing partial ...
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Self-similarity approach for prediction and analysis of experiments at the accelerator complex NICA
... The self-similarity solution [1, 2] has proved to describe well the wide set of experimental data, including the cumulative, subthreshold particle production ...
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Self similarity property of acoustic data acquired in shallow water environment
... water acoustic data collected by hydrophone is not zero mean. The absolute amplitude of the sequence values show greater impact on variance. All these factors do not comply with the self-similarity ...
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Fractals and self-similarity in economics: the case of a two-sector growth model
... Iterated Function Systems allow to formalize the notion of self-similarity or scale invariance of some mathematical object. Hutchinson (1981) and Barnsley and Demko (1985) showed how systems of contractive ...
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GENERALIZED FRACTAL TRANSFORMS AND SELF-SIMILARITY: RECENT RESULTS AND APPLICATIONS
... image. It may be useful to store these values in a measure or distribution µ (x) before performing the final projection of these values in order to produce the transformed value Tu(x). For example, the measure µ (x) ...
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Bayesian estimation of the self-similarity exponent of the Nile River fluctuation
... For H = 1/2 we have the independent identically distributed Gaussian variables and uncorrelated time series after one sin- gle time step. For H 6= 1/2 however, as the time lag k gets large, the correlation function ...
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Self-similarity of high-frequency USD-DEM exchange rates
... statistical self-similarity. However this self-similarity can not be described by a single Hurst exponent H because of the presence of ...
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Relativistically invariant self-similarity approach for description of collective phenomena
... The self-similarity solution presented here well describes collective phenomena; therefore, it is reasonable to apply it for optimization of the future experiments at NICA aimed at the observation of these ...
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A non-parametric test for self-similarity and stationarity in network traffic; Preprint version
... for self-similarity based on the crossing tree and use simulation experiments to test its perfor- ...appear self-similar and to detect temporal changes in the mean packet arrival rate and/or scaling ...
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Hadron production in pp and AA collisions at mid-rapidity within self-similarity approach
... is the inverse slope parameter, sometimes called the thermal freeze-out temperature. One can see from Eq. (16) that this thermal freeze-out temperature depends on the initial energy square s in the c.m.s. of collided ...
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On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation
... the self-similar behavior of a turbine wake as a function of varying terrain complexity and perform comparisons with a flat ...that self-similarity is preserved as we move downstream from the ...
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Network Management Control Based on Change of Self-Similarity and Fuzzy Logic in Network Traffic
... the self – similarity or Hurst parameter. For a general self – similarity process, the parameter H measures the degree of self- similarity ...
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Detection of the botnets’ low-rate DDoS attacks based on self-similarity
... the self-similarity features of the attack and normal ...the self-similarity features based on H values are ...as self-similar if there is an exact or approximate coincidence of such an ...
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Autoregressive Models and Non Local Self Similarity in Sparse Representation for Image Deblurring
... Abstract: Local area within a normal natural image can be thought as a stationary process. This can be modelled well using autoregressive models. In this paper, a set of autoregressive models will be learned from a ...
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Self-similarity of Operating Modes of Aviation Engine with the use of Wireless Data Transmission
... Self-similarity is the existence of a correla- tion structure at a point that can be used to control traffic. For these purposes, on a large time scale, information on the correlation properties of the ...
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Self Similarity Analysis of Web Users Arrival Pattern at Selected Web Centers
... The idea of this paper is, we examine whether web users traffic data has the self similar property. This is to enhancement earlier results using a real time data [10]. This kind of research is useful for future ...
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Fractals and self-similarity in economics: the case of a two-sector growth model
... Iterated Function Systems allow to formalize the notion of self-similarity or scale invariance of some mathematical object. Hutchinson (1981) and Barnsley and Demko (1985) showed how systems of contractive ...
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Self-Similarity and Heavy-Tail of ICMP Traffic
... Abstract—In the last two decades, an enormous increase in empirical studies from the view of different network layer and from a variety of different networks has been seen. However ICMP traffic of Internet is ignored all ...
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