A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
One of the main challenges faced by content-based publish/subscribe systems is handling large amount of dynamic subscriptions and publications in a multidimensional content space....
A new topic of great relevance and concern has been the design of efficient early warning systems to detect as soon as possible the emergence of spatial clusters. In particular, m...
Reconfiguration and self-adaptation are vital capabilities of sensor networks and networked embedded systems that are required to operate in dynamic environments. This paper prese...
Sachin Kogekar, Sandeep Neema, Xenofon D. Koutsouk...
We propose an approach for reducing the energy consumption of address buses that targets both the switching and the crosstalk components of power dissipation. The method is based ...