This paper studies the asymptotic stability of a repairable system with repair time of failed system that follows arbitrary distribution. We show that the system operator generates a positive C0-semigroup of contraction in a Banach space, therefore there exists a unique, nonnegative, and time-dependant solution. By analyzing the spectrum of system operator, we deduce that all spectra lie in the...

Learning structure of Bayesian network have been a great challenge of Machine learning for the last few decades. A lot of ideas have been offered during that time and some of them proved to provide pretty handy results. The new idea of ordering estimation is proposed aiming to improve properties of ordering based or dependant Bayesian network structure learning algorithms. Three different appro...

Clayey soils are the most common material used for water sealing and undertake an important role in controlling landfill-related pollution. Organic liquids can adversely affect the effectiveness of clay liners by drastically increasing their hydraulic conductivity. The aim of this study is to investigate and compare the permeability in two types of clay with different plasticity, exposed to the...

Micropolar plasticity provides the capability to carry out post-failure simulations of geo-structures due to microstructural considerations and embedded length scale in its formulation. An essential part of the numerical implementation of a micropolar plasticity model is the integration of the rate constitutive equations. Efficiency and robustness of the implementation hinge on the type of int...

This talk will introduce the idea that talent development is related to learning where learning is the physiological process of neuro-plastic changes in the brain. To develop talents, individuals must move from novice or beginner’s status to expertise levels of knowledge or skills in a particular domain. Learning depends on maximizing an individual’s potential through the experience...

The recent advances in Human-Computer Interaction and Artificial Intelligence have significantly increased the importance of identifying human emotions from different sensory cues. Hence, understanding underlying relationships between cues become a subject study many fields including Acoustics, Psychology, Psychiatry, Neuroscience Biochemistry. This work is preliminary step towards investigatin...

this talk will introduce the idea that talent development is related to learning where learning is the physiological process of neuro-plastic changes in the brain. to develop talents, individuals must move from novice or beginner’s status to expertise levels of knowledge or skills in a particular domain. learning depends on maximizing an individual’s potential through the experiences he or she ...