Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
This paper focuses on the hierarchical scheduling of systems where a number of separate applications reside on a single processor. It addresses the particular case where fixed pri...
This paper considers the rate optimal VLSI design of a recursive data flow graph (DFG). Previous research on rate optimal scheduling is not directly applicable to VLSI design. We ...
Space applications’ users have been relying for the past decades on custom developed software tools capable of addressing short term necessities during critical Spacecraft contro...
We propose a distributed on-demand power-management protocol for collecting data in sensor networks. The protocol aims to reduce power consumption while supporting fluctuating dem...