Abstract— Graphical variant modeling refers to a novel approach to object-oriented modeling whereby a class overrides behavior inherited from a parent class by specifying variati...
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
This paper presents a design of a low-voltage analog current detector supporting at-speed Built-In-Self-Test (BIST) methodology. In testing mode, the current detector performs a n...
—In the grid context, there is little support for programming paradigms such as shared data or associative programming. We have previously proposed an original idea to attack sha...
Dacian Tudor, Georgiana Macariu, Wolfgang Schreine...