Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
In this demonstration paper we present MAPS, a novel system that combines approximate information retrieval and filtering functionality in a peer-to-peer setting. In MAPS, a user...
Christian Zimmer, Johannes Heinz, Christos Tryfono...
Sometimes sensors need to be assembled in response to an emergency. Such assemblage might take a variety of forms. At one extreme, sensors might converge on a single point. At the...
This paper attempts to track key performance indicators in order to assess the impacts of RFID technology in a five layer supply chain in the utility sector. Findings point to som...
Abstract— A computationally efficient optimal double correlation (ODC) filter, which works on the fourth order statistics of received samples, is proposed for carrier frequency...