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This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: introduces a novel method of graph partitioning for large graphs involv...
About 4,000 major business organizations in the Soviet Union and Eastern Europe are cited, including ministries that Western business people may have to deal with, such as chambers of commerce, financial institutions, manufacturing companies, and trading organizations. The entries include contact information, major personnel, parent and subsidiary organizations, bankers, number of employees, and financial data. Includes both state-owned and private concerns. Thoroughly indexed. Distributed by Gale. Annotation copyrighted by Book News, Inc., Portland, OR
It is a general trend in computing that computers are becoming ever smaller and ever more interconnected. Sensor networks – large networks of small, simple devices – are a logical extreme of this trend. Wireless sensor networks (WSNs) are attracting an increasing degree of research interest, with a growing number of industrial applications starting to emerge. Two of these applications, personal health monitoring and emergency/disaster recovery, are the focus of the European Commission project ProSense: Promote, Mobilize, Reinforce and Integrate Wireless Sensor Networking Research and Researchers. This hands-on introduction to WSN systems development presents a broad coverage of topics in...
In the field of education, advanced research using artificial intelligence and cognitive models is vividly making its appearance clear, and deepening our conviction of its effectiveness in practical use. This volume is one of the results of the conference, which was held with the aim of exploring the current state and future trends of advanced techniques and methodologies in information processing, specifically those from artificial intelligence and cognitive science, as applied to the field of education.