In this paper we present a framework to provide dependability through accountability. Our proposal exploits the asymmetry present in the majority of sensor data processing to chea...
We have previously proposed PTIDES (Programming Temporally Integrated Distributed Embedded Systems), a discrete-event framework that binds realtime with model time at sensors, act...
Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...