Detrended Fluctuation Analysis of the TCP-Red Algorithm

Chen, Xi; Wong, Simon; Tse, Chi Kong; Trajković, Ljiljana

doi:10.1142/s0218127409025328

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…The Hurst parameter values 0.5 < H < 1 correspond to persistent long-range power-law correlation (Chen et al, 2009). In case a persistent time series increase (decrease) during the previous period, than Hurst exponent is closer to 1, the tendency of the series behavior during the same period in the future is more possibly.…”

Section: Discussionmentioning

confidence: 99%

Multifractal Detrended ﬂuctuation Analysis in Examining Surface Properties of the Gas-Sensing Metal-Containing Polyacrylonitrile

Semenistaya¹,

Plugotarenko²,

Петров³

2015

MAS

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A possibility of applying the multifractal detrended fluctuation analysis (MF-DFA) to the investigation of the gas-sensitivity dependence on the thin-films surface morphology formed using different technological parameters of annealing has been studied. Methods of analyzing the dynamics of complex systems are modified so as to investigate the structure of the metal-containing polyacrylonitrile (PAN) thin films. The long-range power-law correlation in structure of the studied film surface has been studied. The analysis have showed that the time-temperature annealing modes increasing brings to the Hurst parameter value increasing that points to a long-range power-law correlation in structure of the studied film surface.

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Section: Discussionmentioning

confidence: 99%

Multifractal Detrended ﬂuctuation Analysis in Examining Surface Properties of the Gas-Sensing Metal-Containing Polyacrylonitrile

Semenistaya¹,

Plugotarenko²,

Петров³

2015

MAS

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“…In recent years, it has been successfully applied to a wide range of simulated and physiologic time series [8]. DFA analysis can be explained in 5 steps [9].…”

Section: Dataset Recording Systemmentioning

confidence: 99%

Classification of Functional Near-Infrared Imaging Based Hemodynamic Patterns Recorded at Mental Arithmeti̇c and Resting

Onay¹,

Köse²

2018

NWSA

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Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical imaging technique used in brain-computer interface (BCI) systems. It is used to measure deoxyhemoglobin and oxyhemoglobin proportions that occur during a specific activity in the brain region (motor and visual activity, auditory stimulus, etc.). In this study, hemodynamic patterns were recorded from 8 participants during mental arithmetic and rest activities. Features have been extracted for this by using detrended fluctuation analysis, entropy and Hjorth parameters methods. The distinctive feature vectors obtained after the feature selection process have been applied to support vector machines (SVM), multilayer artificial neural networks (MLANN) and k-nearest neighbors (k-NN) classifiers. As a result, the best classification accuracy was 97.17% when SVM classifier was used.

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Digital Bifurcation Analysis of Internet Congestion Control Protocols

Beneš

Brim

Pastva

et al. 2020

Int. J. Bifurcation Chaos

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Digital bifurcation analysis is a new algorithmic method for exploring how the behavior of a parameter-dependent discrete system varies with a change in its parameters and, in particular, for the identification of bifurcation points where such variation becomes dramatic. We have developed the method in an analogy with the traditional bifurcation theory and have successfully applied it to models taken from systems biology. In this paper, we report on the application of the digital bifurcation analysis for analyzing the stability of internet congestion control protocols by inspecting their attractor bifurcations. In contrast to the analytical methods, our approach allows fully automated analysis. We compared the robustness of the basic Random Early Drop (RED) approach with four substantially different extensions, namely gentle, adaptive, gradient descent, and integral feedback RED. The basic RED protocol is well known to exhibit unstable behavior when parameters are varied. In the case of adaptive and gradient descent RED protocol, the analysis showed significant improvements in stability, whereas in the results for gentle and integral feedback RED protocols the improvement was negligible. We performed a series of model simulations, the results of which were in accordance with our bifurcation analysis. Based on our results, we can recommend both adaptive and gradient descent RED to improve the robustness of the RED protocol.

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Detrended Fluctuation Analysis of the TCP-Red Algorithm

Cited by 3 publications

References 31 publications

Multifractal Detrended ﬂuctuation Analysis in Examining Surface Properties of the Gas-Sensing Metal-Containing Polyacrylonitrile

Multifractal Detrended ﬂuctuation Analysis in Examining Surface Properties of the Gas-Sensing Metal-Containing Polyacrylonitrile

Classification of Functional Near-Infrared Imaging Based Hemodynamic Patterns Recorded at Mental Arithmeti̇c and Resting

Digital Bifurcation Analysis of Internet Congestion Control Protocols

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