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We present novel grid coverage strategies for effective surveillance and target location in distributed sensor networks. We represent the sensor field as a grid (two or three-dimensional) of points (coordinates) and use the term target location to refer to the problem of locating a target at a grid point at any instant in time. We first present an integer(More)
Distributed, real-time sensor networks are essential for effective surveillance in the digitized battlefield and for environmental monitoring. In this paper, we present the first systematic theory that leads to novel sensor deployment strategies for effective surveillance and target location. We represent the sensor field as a grid (two-or(More)
An automatic discovery method that discovers frequent access routines for unique clients from web access log files is presented. Proposed algorithm develops novel techniques to extract the sets of all predictive access sequences from semi-structured web access logs. Important user access patterns are manifested through the frequent traversal paths, thus(More)
Abundance Community classification Regional classification a b s t r a c t From 1997 to 2002, benthic macroinvertebrates were collected with a Surber sampler from the 1970 sampling sites from clean to intermediately polluted areas in streams in Korea. The Self-Organizing Map (SOM) was used for patterning and visualizing community patterns of(More)
Distributed, real-time sensor networks are essential for effective surveillance in the digitized battlefield and for environmental monitoring. In this paper, we present the first systematic theory that leads to novel sensor deployment strategies for effective surveillance and target location. We represent the sensor field as a grid (two-or(More)
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