We derived the critical neighborhood demand in the Schelling’s segregation model by studying the conditions for which a chain reaction of migrations of unsatisfied agents occurs. The essence of Schelling dynamics was approximated in two simplified models: (1) a random walk model for the initial stage of the migrations to illustrate the power-law behavior of chain reaction lengths under critical...

In recent years, there has been significant interest in the area of automatically recognizing activities occurring in a camera’s field of view and detecting abnormalities. The practical applications of such a system could include airport tarmac monitoring, or monitoring of activities in secure installations, to name a few. The difficulty of the problem is compounded by several factors: detectio...

Abstract Critical infrastructure (CIs) such as power grids link a plethora of physical components from many different vendors to the software systems that control them. These are constantly threatened by sophisticated cyber attacks. The need improve cybersecurity CIs, through holistic system modeling and vulnerability analysis, cannot be overstated. This is challenging since CI incorporates com...

The use of mixture models for clustering and classification has burgeoned into an important subfield of multivariate analysis. These approaches have been around for a half-century or so, with significant activity in the area over the past decade. The primary focus of this paper is to review work in model-based clustering, classification, and discriminant analysis, with particular attenti...

Empirical evidences have supported the large heterogeneity in the timing of individuals' activities. Moreover, computational analysis of the agent-based models has shown the importance of the activation regimes. In this paper, we apply four different asynchronous updating schemes including random, uniform, and two state-driven Poisson updating schemes on an agent-based opinion dynamics model. W...