We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
—This paper proposes a mobile-agent-based data gathering system (called TinyBee) in wireless sensor networks. Most existing mobile-agent-based systems consider only static sinks/...
Abstract—Power dissipation has constrained the performance boosting of modern computer systems in the past decade. Dynamic power management has been widely applied to change the ...
Kai Huang, Luca Santinelli, Jian-Jia Chen, Lothar ...
—Considerable work has been done on providing fault tolerance capabilities for different software components on largescale high-end computing systems. Thus far, however, these fa...
Rinku Gupta, Pete Beckman, Byung-Hoon Park, Ewing ...
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...