Use of Correlation Matrix to Assess the Stirring Performance of a Reverberation Chamber: a Comparative StudyThe use of correlation matrices to evaluate the number of uncorrelated stirrer positions of reverberation chamber has widespread applications in electromagnetic compatibility. We present a…Gabriele Gradoni, Valter Mariani Primiani, Franco Moglie·Apr 25, 2014SaveLearn
Evolution of Force Networks in Dense Particulate MediaWe introduce novel sets of measures with the goal of describing dynamical properties of force networks in dense particulate systems. The presented approach is based on persistent homology and allows…Miroslav Kramar, Arnaud Goullet, Lou Kondic et al.·Apr 24, 2014SaveLearn
Fractional Laplace Transforms - A PerspectiveA form of the Laplace transform is reviewed as a paradigm for an entire class of fractional functional transforms. Various of its properties are discussed. Such transformations should be useful in…R. A. Treumann, W. Baumjohann·Apr 22, 2014SaveLearn
Zero-one-only process: a correlated random walk with a stochastic ratchetThe investigation of random walks is central to a variety of stochastic processes in physics, chemistry, and biology. To describe a transport phenomenon, we study a variant of the one-dimensional…Seung Ki Baek, Hawoong Jeong, Seung-Woo Son et al.·Apr 18, 2014SaveLearn
Evaluation of the training objectives with surface electromyographyIn this work the multifractal analysis of the kinesiological surface electromyographic signal is proposed. The goal was to investigate the level of neuromuscular activation during complex movements…Paulina Trybek, Michal Nowakowski, Lukasz Machura·Apr 16, 2014SaveLearn
Flood avalanches in a semiarid basin with a dense reservoir networkThis study investigates flood avalanches in a dense reservoir network in the semiarid north-eastern Brazil. The population living in this area strongly depends on the availability of the water from…Samuel J. Peter, J. C. de Araújo, N. A. M. Araújo et al.·Apr 16, 2014SaveLearn
Defining a Trend for a Time Series Which Makes Use of the Intrinsic Time-Scale DecompositionWe propose criteria that define a trend for time series with inherent multi-scale features. We call this trend the tendency of a time series. The tendency is defined empirically by a set of…Juan M. Restrepo, Shankar C. Venkataramani, Darin Comeau et al.·Apr 15, 2014SaveLearn
Negative probabilities and counter-factual reasoning in quantum cognitionIn this paper we discuss quantum-like decision-making experiments using negative probabilities. We do so by showing how the two-slit experiment, in the simplified version of the Mach-Zehnder…J. Acacio de Barros, Gary Oas·Apr 14, 2014SaveLearn
Hamiltonian formalism and path entropy maximizationMaximization of the path information entropy is a clear prescription for constructing models in non-equilibrium statistical mechanics. Here it is shown that, following this prescription under the…Sergio Davis, Diego González·Apr 11, 2014SaveLearn
Toward fits to scaling-like data, but with inflection points & generalized Lavalette functionExperimental and empirical data are often analyzed on log-log plots in order to find some scaling argument for the observed/examined phenomenon at hands, in particular for rank-size rule research,…Marcel Ausloos·Apr 11, 2014SaveLearn
Cycle flow based module detection in directed recurrence networksWe present a new cycle flow based method for finding fuzzy partitions of weighted directed networks coming from time series data. We show that this method overcomes essential problems of most…Ralf Banisch, Nataša Djurdjevac Conrad·Apr 10, 2014SaveLearn
Cluster analysis of weighted bipartite networks: a new copula-based approachIn this work we are interested in identifying clusters of "positional equivalent" actors, i.e. actors who play a similar role in a system. In particular, we analyze weighted bipartite…Alessandro Chessa, Irene Crimaldi, Massimo Riccaboni et al.·Apr 9, 2014SaveLearn
Reconstructing the intermittent dynamics of the torque in wind turbinesWe apply a framework introduced in the late nineties to analyze load measurements in off-shore wind energy converters (WEC). The framework is borrowed from statistical physics and properly adapted to…Pedro G. Lind, Matthias Wächter, Joachim Peinke·Apr 8, 2014SaveLearn
Modelling and analysis of turbulent datasets using ARMA processesWe introduce a novel way to extract information from turbulent datasets by applying an ARMA statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations…Davide Faranda, Flavio Maria Emanuele Pons, Bérèngere Dubrulle et al.·Apr 2, 2014SaveLearn
Modeling and analysis of cyclic inhomogeneous Markov processes: a wind turbine case studyA method is proposed to reconstruct a cyclic time-inhomogeneous Markov pro- cess from measured data. First, a time-inhomogeneous Markov model is fit to the data, taken here from measurements on a…Teresa Scholz, Vitor V. Lopes, Pedro Lind et al.·Apr 1, 2014SaveLearn
Parameter estimation by fixed point of function of information processing intensityWe present a new method of estimating the dispersion of a distribution which is based on the surprising property of a function that measures information processing intensity. It turns out that this…Rober Jankowski, Marcin Makowski, Edward W. Piotrowski·Mar 31, 2014SaveLearn
Dynamical localization and eigenstate localization in trap modelsThe one-dimensional random trap model with a power-law distribution of mean sojourn times exhibits a phenomenon of dynamical localization in the case where diffusion is anomalous: The probability to…Franziska Flegel, Igor M. Sokolov·Mar 27, 2014SaveLearn
Confidence intervals with a priori parameter boundsWe review the methods of constructing confidence intervals that account for a priori information about one-sided constraints on the parameter being estimated. We show that the so-called method of…A. V. Lokhov, F. V. Tkachov·Mar 21, 2014SaveLearn
Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic MethodFocusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the…Alessandro Corbetta, Adrian Muntean, Federico Toschi et al.·Mar 21, 2014SaveLearn
Exact detection of direct links in networks of interacting dynamical unitsThe inference of an underlying network topology from local observations of a complex system composed of interacting units is usually attempted by using statistical similarity measures, such as…Nicolás Rubido, Arturo C. Martí, Ezequiel Bianco-Martínez et al.·Mar 19, 2014SaveLearn
The time series forecasting: from the aspect of networkForecasting can estimate the statement of events according to the historical data and it is considerably important in many disciplines. At present, time series models have been utilized to solve…S. Chen, X. Lan, Y. Hu et al.·Mar 7, 2014SaveLearn
The Rényi entropy of Lévy distributionThe equivalence between non-extensive C. Tsallis entropy and the extensive entropy introduced by Alfréd Rényi is discussed. The Rényi entropy is studied from the perspective of the geometry of the…Giorgio Sonnino, György Steinbrecher, Alberto Sonnino·Feb 24, 2014SaveLearn
Stochastic analysis of ocean wave states with and without rogue wavesThis work presents an analysis of ocean wave data including rogue waves. A stochastic approach based on the theory of Markov processes is applied. With this analysis we achieve a characterization of…A. Hadjihosseini, J. Peinke, N. P. Hoffmann·Feb 18, 2014SaveLearn
On the combination of correlated estimates of a physics observableThe combination of a number of correlated estimates of a given observable is frequently performed using the Best Linear Unbiased Estimate (BLUE) method. Most features of such a combination can…Richard Nisius·Feb 17, 2014SaveLearn
On a periodicity measure and superoscillationsThe phenomenon of superoscillation, where band limited signals can oscillate over some time period with a frequency higher than the band limit, is not only very interesting but it also seems to offer…Nehemia Schwartz, Moshe Schwartz·Feb 13, 2014SaveLearn