Power-law distributions describe many phenomena related to rock fracture. Data collected to measure the parameters of such distributions only represent samples from some underlying population. Without proper consideration of the scale and size limitations of such data, estimates of the population parameters, particularly the exponent D, are likely to be biased. A Monte Carlo simulation of the s...

With the popularity of P2P (Peer-to-Peer) network applications, active P2P worms become one of the most important newly threat of the network security. In this paper, the propagation process of active P2P worms are studied by a dynamic model over the overlay topology which modeled as a power-law undirected graph. Firstly, GLP power law generator is used to generate power law topologies to repre...

Short-time human travel behaviour can be well described by a power law with respect to distance. We incorporate this information in space-time models for infectious disease surveillance data to better capture the dynamics of disease spread. Two previously established model classes are extended, which both decompose disease risk additively into endemic and epidemic components: a space-time point...

Use of laminar flow-derived power law models to predict hemolysis with turbulence remains problematical. Flows in a Couette viscometer and a capillary tube have been simulated to investigate various combinations of Reynolds and/or viscous stresses power law models for hemolysis prediction. A finite volume-based computational method provided Reynolds and viscous stresses so that the effects of a...

We explore the behavior of power-law shot noise, for which the associated impulse response functions assume a decaying power-law form. We obtain expressions for the moments, moment generating functions, amplitude probability density functions, autocorrelation functions, and power spectral densities for a variety of parameters of the process. For certain parameters the power spectral density exh...

The behavior of power-law shot noise, for which the associated impulse response functions assume a decaying power-law form, is explored. Expressions are obtained for the moments, moment generating functions, amplitude probability density functions, autoCorrelation functions, and power spectral densities for a variety of parameters of the process. For certain parameters the power spectral densit...

We present methods for drawing graphs that arise in various information networks. It has been noted that many realistic graphs have power law degree distribution and exhibit the small world phenomenon. Our algorithm is influenced by recent developments on modeling and analysis of such power law graphs.

Empirical studies of real world networks revealed that degree distribution often follows a heavytailed distribution, a power law. At that time, there were two kinds of network models: the Erdos-Renyi random graph Gn,p and the Small World graphs of Watts and Strogatz. In both models the degrees were very close to the mean degree and there was little variation. Thus, there was the question of fin...

Statistical model based voice activity detection (VAD) is commonly used in various speech related research and applications. In this paper, we try to improve the performance of statistical model based VAD via new feature extraction method. Our main innovation focuses on that we apply Mel-frequency subband coefficients with power-law nonlinearity as feature for statistical model based VAD instea...

Empirical studies of real world networks revealed that degree distribution often follows a heavytailed distribution, a power law. At that time, there were two kinds of network models: the Erdos-Renyi random graph Gn,p and the Small World graphs of Watts and Strogatz. In both models the degrees were very close to the mean degree and there was little variation. Thus, there was the question of fin...