We propose a periodic diagnostic algorithm based on the testing model of computation for real-time systems. The diagnostic task runs on every processor of the system. When the task...
Abstract. Classical state-oriented testing approaches are based on simple machine models such as Labelled Transition Systems (LTSs), in which data is represented by concrete values...
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Database replication based on group communication systems has recently been proposed as an efficient and resilient solution for large-scale data management. However, its evaluati...
The development of correct OO distributed software is a daunting task as soon as the distributed interactions are not trivial. This is due to the inherent complexity of distribute...