Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
This article proposes the XGOP-B deterministic traffic model for MPEG video services requiring strict bounds on the quality of service provided by the network. The XGOP-B model ta...
Marcelo Dias de Amorim, Otto Carlos Muniz Bandeira...
—We define a family of execution policies for a programming model called PTIDES (Programming Temporally Integrated Distributed Embedded Systems). A PTIDES application (factory a...
Jia Zou, Slobodan Matic, Edward A. Lee, Thomas Hui...
Formalized study of self-assembly has led to the definition of the tile assembly model, a highly distributed parallel model of computation that may be implemented using molecules ...
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...