Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
This paper presents MPIAB, an agent based architecture for parallel processing. The architecture is developed to model the functions of standard MPI using java agents. It remedies...
— Legacy systems that do not conform to the norms and regulations imposed by recent safety standards have to be upgraded to meet safety requirements. In this paper, we describe a...
Business domain ontologies offer great opportunities for facilitating communication between people in business, for improving the enterprise system engineering processes and for cr...
In this paper, we present a novel feedback control-based load shedding scheme for data stream processing. Firstly we apply system identification to establish a dynamic model to de...