In this paper, we propose a logical approach to represent and reason about different time granularities. We identify a time granularity as a discrete infinite sequence of time po...
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
— The aim of this paper is to provide a unified language for modeling both control software and physical plants in real time control systems. This is done by embedding the bond ...
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...