Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
We address the problem of mapping a set of processes which communicate synchronously on a distributed platform. The Time Triggered Architecture (TTA) proposed by Kopetz for the co...
Albert Benveniste, Paul Caspi, Marco Di Natale, Cl...
Aspect-Oriented Modeling (AOM) provides support for separating concerns at the design level. Even though most AOM approaches provide means to execute the composition of the modula...
Aram Hovsepyan, Riccardo Scandariato, Stefan Van B...
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...