Because of the technology convergence in computer, consumer electronics, and communication fields in the last decade, embedded computing has rapidly emerged as an important computing discipline. Currently, demands from a variety of embedded systems applications are continuously increasing and the interest in embedded computing technologies is growing very rapidly all over the world. Thus, embed...

Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...

Transformer fault diagnosis is an interesting subject for plant operators due to its criticality in power systems. There are several international standards available to interpret power transformer faults based on dissolved gas analysis. In certain cases these standards are not able to provide correct diagnosis. There are several soft computing techniques available for modelling transformer fau...

Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. Mobile Computing is a Generic word that introduces using of movable, handheld devices with wireless communication, for processing data. Mobile Computing focused on providing access to data, information, services and communications anywhere an...

Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. Mobile Computing is a Generic word that introduces using of movable, handheld devices with wireless communication, for processing data. Mobile Computing focused on providing access to data, information, services and communications anywhere an...

Typically, a large-scale natural graph follows a skewed power law. In distributed graphstructured computations, the skewness usually makes a bad partitioning, which leads to high communication cost and workload imbalance. Therefore, graph partitioning (GP) is a challenging issue. To tackle this challenge, we introduce degree-based techniques into GP via vertex-cut. Accordingly, we develop a nov...

Evolutionary computing has proven to be a straightforward and robust approach for optimizing a wide range of difficult analysis and design problems. This paper discusses the application of these techniques to an existing space vehicle power subsystem resource and performance analysis simulation in a parallel processing environment. Our preliminary results demonstrate that this approach has the ...