Power Quality problems have a significant impact in electrical power systems. Therefore, real-time techniques to detect and quantify these problems are getting much attention. This paper proposes a new approach based on the real wavelet transform of the analytic representation of distorted power signals. To generate the analytic signal, two methods are given. The first method is based on Fast F...

In this review of the exhibition student’s research projects in master’s class Digital Design Studio Architectural Program within International University Sarajevo, mentor and curators Lamila Simisic Pasic Meliha Teparic are giving an analysis settings, aims, purpose show. The is about attempt to follow novelties that 21st century bringing into creation process, such as involvement artificial i...

Forthcoming

Behavioral economics and existentialism both present informative perspectives on human choice. We argue in this article that the dialogue between two approaches can enrich current debate about normative implications of behavioral economics. While suggests our capacity to choose is constrained by cognitive biases environmental influences, emphasizes we (and should) treat ourselves as free ‘becom...

We outline an approximation for obtaining an analytic expression of the power spectral density (PSD) of the membrane potential ðVmÞ in neurons subject to synaptic noise. In highconductance states, there is a remarkable agreement between this approximation and PSDs computed numerically. This analytic expression can be used to predict how the PSD depends on the exact kinetic model for synaptic cu...

Analytic shrinkage is a statistical technique that offers a fast alternative to crossvalidation for the regularization of covariance matrices and has appealing consistency properties. We show that the proof of consistency requires bounds on the growth rates of eigenvalues and their dispersion, which are often violated in data. We prove consistency under assumptions which do not restrict the cov...