Computational Materials Science

The goal of this collection was to gather together up-to-date knowledge from researchers in academia and industry, as well as end-uses, and also give them the opportunity to share ideas, problems and solutions related to the divers aspects of Computational Materials Science, Mechanical, Industrial and Manufacturing Engineering. The result is an up-to-date survey which should be essential reading for those interested in thesetopics.Volume is indexed by Thomson Reuters CPCI-S (WoS). This three-volume set presents peer-reviewed papers from an April 2011 conference, describing recent research in industrial engineering and computer science, computer technology and materials science, and multimedia engineering. Some specific chapter topics include a prediction-based data aggregation scheme in wireless sensor networks, the application of a data warehouse in a decision support system, a stochastic disturbance of particle swarm optimization for K-means clustering methods, and Monte Carlo simulation of gear reliability. Other areas examined are speech recognition based on compressive sensing, a virtual lab for studying clinical immunology and inspection, use of a local upsampling Fourier transform for high-accuracy image rotation estimation, and a trust measurement model for an industrial control ethernet network. Many papers include b&w images.