In this paper, we present a comprehensive TCAD methodology for analyzing the effects of process variation on circuit functionality. We will highlight two essential features of this methodology. First, we will describe the statistical approach we have adopted for worst case file (WCF) analysis in the presence of on-chip variation (OCV). Secondly, we will summarize some key new TCAD statistical m...

Although essential to professional competence in psychology, quantitative research methods are a known area of weakness for many undergraduate psychology students. Students find selecting appropriate statistical tests and procedures for different types of research questions, hypotheses and data types particularly challenging, and these skills are not often practiced in class. Decision trees (a ...

logistics network is expected that opened facilities work continuously for a long time horizon without any failure; but in real world problems, facilities may face disruptions. This paper studies a reliable joint inventory location problem to optimize cost of facility locations, customers’ assignment, and inventory management decisions when facilities face failure risks and doesn’t work. In our...

In the first decade of the 20th century, nearly a hundred years of work on the phenomenon of Brownian motion culminated in theory and experiments that demonstrated irrefutably the discontinuous or molecular nature of matter. Colloidal suspensions and the phenomenon of Brownian motion thus became the key to confirmation of the ‘new world-view’ of statistical mechanics, the statistical basis of t...

Drilling thrust force calculations require a large amount of experimental work, which can be greatly reduced, since an extensively validated CAD-based approach, using the DRILL3D software application, has become available. DRILL3D calculates the thrust force of both the cutting areas of the tool (main edges and chisel edge) simultaneously, which means that every simulation can substitute two se...

Quantification in statistical relational learning (SRL) is either existential or universal, however humans might be more inclined to express knowledge using soft quantifiers, such as “most” and “a few”. In this paper, we define the syntax and semantics of PSL, a new SRL framework that supports reasoning with soft quantifiers, and present its most probable explanation (MPE) inference algorithm. ...

in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...