The multiscale entropy assesses the complexity of a signal across different timescales. It originates from biomedical domain and was recently successfully used to characterize light curves as part supervised machine learning framework classify stellar variability. We explore behavior in detail by studying its algorithmic properties variability context linking it with traditional astronomical ti...

In this paper we discuss the application of some recent results obtained from studying the asymptotics and the entropy of flows in large queueing systems to the analysis of entropy variations of traffic processes in ATM networks. We argue that certain important queueing nodes/networks (e.g. ·/M/1, ·/GI/∞ nodes and Jackson networks) are entropy increasing in nature, in that the entropy of the ar...

We propose a moving edge extraction method using the concept of entropy and cross-entropy, in which the crossentropy concept is applied to dynamic scene analysis. The cross-entropy concept provides enhancement of detection for the dynamically changed area. We combine the results of cross-entropy in the difference picture (DP) with those of entropy in the current frame so that we can effectively...

using gaussian 03, software the thermodynamic functions such as gibbs free energy, g, enthalpy, h, and entropy, s, of alanine and valine amino acids were theoretically studied at different solvents. first, the density functional theory (b3lyp) level with 3-21g, 6-31g and 6-31+g basis sets were employed to optimization of isolated alanine and valine amino acids in the gas phase. moreover, vib...

congestive heart failure (chf) remains to be one of the major cardiovascular disorders in the world. due to the prevalence of chf related issues, it is prudent to seek out new prognostic predictors that would facilitate the prevention, monitoring, and treatment of the disease on a daily basis. a detection approach using entropy measures extracted from surface electrocardiograms (ecgs) and class...

This paper proposes a novel method for assessing the predictability of energy market time series, by predicting the entropy of the series. According to conventional entropy-based analysis (where the entropy is always ex-post estimated), high entropy values characterize unpredictable series, while more stable series exhibits lesser entropy values. Here, we predict ex-ante the entropy regarding t...

Queueing theory has provided the basis for remarkable successes in the performance modeling and analysis of computer systems.6,19,21 Because it is clear that computer systems do not satisfy assumptions made by the stochastic process models that are used, this success has been somewhat puzzling; it appears that queueing theory equations have wider applicability than is suggested by their classic...