Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Families of models that cross levels of resolution: issues for design, calibration and management
WSC '93 Proceedings of the 25th conference on Winter simulation
DEVS representation and aggregation of spatially distributed systems: speed-versus-error tradeoffs
Transactions of the Society for Computer Simulation International - Special issue on model abstraction
Theories of discrete event model abstraction
WSC '91 Proceedings of the 23rd conference on Winter simulation
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Ontology-based decision support system for semiconductors EDS testing by wafer defect classification
Expert Systems with Applications: An International Journal
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An experimental frame is a specification of the condition under which the system is observed or experimented with. This paper presents experimental frame structuring of the source data. US Climate Normals are introduced for the source data example. The Meta data of US Climate Normals placed in a repository is parsed by XML parsing engine, and then structures model by the parallel and serial composition (concatenation). US Climate Normals are summarized in the collection of almost 6000 weather stations. This paper introduces modeling at multiple levels of resolution by decomposing the US region with SES. The system searching resolution regarding an input variable, spread, and structuring DEVS model is presented. A simple example shows the process of model structuring and abstraction. The example also shows how almost 6000 station models are abstracted at a resolution level. For future work, web service application and dynamic system structuring is mentioned.