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Showing 1 - 8 of 8 matches in All Departments
Information processing in sensor networks is a rapidly emerging
area of computer science and electrical engineering research.
Because of advances in micro-sensors, wireless networking and
embedded processing, ad hoc networks of sensor are becoming
increasingly available for commercial, military, and homeland
security applications. Examples include monitoring (e.g., traffic,
habitat, security), industrail sensing and diagnostics (e.g.,
factory, appliances), infrastructures (i.e., power grid, water
distribution, waste disposal) and battle awareness (e.g.,
multi-target tracking). This book introduces practitioners to the
fundamental issues and technology constraints concerning various
aspects of sensor networks such as information organization,
querying, routing, and self-organization using concrete examples
and does so by using concrete examples from current research and
implementation efforts.
This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
This book constitutes the thoroughly refereed post-proceedings of an international seminar on Plan-Based Control of Robotic Agents held at Dagstuhl Castle, Germany in October 2001.The 16 full papers included in the book have gone through two rounds of reviewing and revision and present an up-to-date survey of the state of the art on research in plan-based control of robotic agents. Besides general issues from robotics, agent systems, control, AI planning, algorithmic learning, and problem solving are plan-based high-level control, probabilistic reasoning, plan transformation, and resource adaptive reasoning key topics addressed in the papers.
This monograph, entitled Robotics in the Artificial Intelligence (AI) Era, presents the findings and recommendations of a study conducted by the Hellenic Institute of Advanced Study (HIAS).Robotics in the era of artificial intelligence will transform every aspect of society, security, and economy. Agricultural robots can assist farmers in reducing exposure to dangerous spraying pesticides, while selective harvesting for increasing yield and quality operations. Robots with advanced perception can be used for automatic inventory inspection and management. Underwater vehicles can be used for inspecting ship hulls and pipelines or ports, while aerial robots can ensure the delivery of urgent medical supplies in remote islands in the sea or mountainous rural regions. This is not science fiction, the technological revolution described above is starting to happen around the world.By presenting various applications and possibilities, this monograph should appeal to persons involved specifically with robotics, and technology development in general.
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