One aspect of autonomic computing is the ability to identify, separate and automatically tune parameters related to performance, security, robustness and other properties of a sof...
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Abstract. A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from...
Autonomic computing is gradually becoming accepted as a viable approach to achieving self-management in systems and networks, with the goal of lessening the impact of the complexit...
Bridget Meehan, Girijesh Prasad, T. Martin McGinni...
In wireless sensor networks, localization systems use data from sensors which receive signals from moving targets, measure RSSI, and translate RSSI into the distance between senso...