MRMAide: a mixed resolution modeling aide
Autor: | Robert M. McGraw, Allyn Treshansky |
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Rok vydání: | 2002 |
Předmět: |
Data processing
Process (engineering) business.industry Computer science Multiresolution analysis media_common.quotation_subject Fidelity Contrast (statistics) Resolution (logic) computer.software_genre Data mining Cluster analysis Software engineering business computer media_common Abstraction (linguistics) |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
Popis: | The Mixed Resolution Modeling Aide (MRMAide) technology is an effort to semi-automate the implementation of Mixed Resolution Modeling (MRM). MRMAide suggests ways of resolving differences in fidelity and resolution across diverse modeling paradigms. The goal of MRMAide is to provide a technology that will allow developers to incorporate model components into scenarios other than those for which they were designed. Currently, MRM is implemented by hand. This is a tedious, error-prone, and non-portable process. MRMAide, in contrast, will automatically suggest to a developer where and how to connect different components and/or simulations. MRMAide has three phases of operation: pre-processing, data abstraction, and validation. During pre-processing the components to be linked together are evaluated in order to identify appropriate mapping points. During data abstraction those mapping points are linked via data abstraction algorithms. During validation developers receive feedback regarding their newly created models relative to existing baselined models. The current work presents an overview of the various problems encountered during MRM and the various technologies utilized by MRMAide to overcome those problems. |
Databáze: | OpenAIRE |
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