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Smart Environments contains contributions from leading researchers, describing techniques and issues related to developing and living in intelligent environments. Reflecting the multidisciplinary nature of the design of smart environments, the topics covered include the latest research in smart environment philosophical and computational architecture considerations, network protocols for smart environments, intelligent sensor networks and powerline control of devices, and action prediction and identification.
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Live smarter! Discover how intelligent environments are revolutionizing industry, home, and office
Research on smart environments represents some of the most innovative work being done in computer science, electrical engineering, and information systems today. The interdisciplinary scope of the field integrates aspects of machine learning, human-machine interfacing, wireless networking, mobile communications, sensor networks, and pervasive computing. As research efforts devise intelligent environments for use in homes, offices, classrooms, hospitals, and automobiles, far-reaching applications–from design and architecture to health care issues and software engineering–become increasingly evident.
With contributions from leading researchers in a wide array of disciplines, Smart Environments: Technology, Protocols, and Applications presents the state of the art in this emerging field. Important topics covered include:
Supplementary features include an accompanying Web site and a comprehensive listing of Web sites for smart environment projects. Encompassing both theory and practical implementation, with in-depth discussion of existing applications, Smart Environments is an authoritative resource for practicing engineers and students in the field.About the Author:
DIANE J. COOK, PhD, is a professor in the Department of Computer Science and Engineering at the University of Texas at Arlington, where she leads the MavHome smart home project and directs the Artificial Intelligence Research Laboratory. A senior member of the IEEE and member of the American Association for Artificial Intelligence, she also sits on the Board of Governors for the IEEE’s Systems, Man, and Cybernetics Society.
SAJAL K. DAS, PhD, is a professor in the Department of Computer Science and Engineering and Founding Director of the Center for Research in Wireless Mobility and Networking (CReWMaN) at the University of Texas at Arlington. He is the coauthor of Mobile Wireless Computing: A Quantitative Approach.
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