Attacks exploiting race conditions have been considered rare and “low risk”. However, the increasing popularity of multiprocessors has changed this situation: instead of waiti...
Many organizations pursue knowledge management (KM) initiatives, with different degrees of success. One key aspect of KM often neglected in practice is that it not only concerns t...
To share resources in open distributed systems we have developed autonomous mobile programs, which periodically use a cost model to decide where to execute in a network. In additi...
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...