This paper focuses on studying efficient solutions for modeling and deriving compositional tests for component-based real-time systems. In this work, we propose a coherent framewo...
A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an ...
The Seldon model combines concepts from agent-based modeling and social network analysis to create a computation model of social dynamics for terrorist recruitment. The underlying...
This paper presents an efficient online mode estimation algorithm for a class of sensor-rich, distributed embedded systems, the so-called hybrid systems. A central problem in dist...
Feng Zhao, Xenofon D. Koutsoukos, Horst W. Haussec...