In this paper, we present a proposal for a UML profile called `Embedded UML'. Embedded UML represents a synthesis of various ideas in the real-time UML community, and concept...
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Scratchpads have been widely proposed as an alternative to caches for embedded systems. Advantages of scratchpads include reduced energy consumption in comparison to a cache and a...
Intelligence, collaboration and mobility are the main important features in designing agents for electronic commercial systems. But very few systems permit to implement agents whi...
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...