Intelligent visualization agent for simulation-based decision support

Michael M. Marefat; Andrew F. Varecka; Jeff Yost

doi:10.1109/99.615433

Intelligent visualization agent for simulation-based decision support

Michael M. Marefat
, Andrew F. Varecka
, Jeff Yost

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The IVA system can serve as a data-driven `visualization agent' for simulation environments. Using event expressions defined in a significant-event language, it extracts data of interest from very large data sets, and can modify the simulation based on detected events. A knowledge-based data mapping process helps create the most useful type of visualization to intelligently display the retrieved data.

Original language	English (US)
Pages (from-to)	72-82
Number of pages	11
Journal	IEEE computational science & engineering
Volume	4
Issue number	3
DOIs	https://doi.org/10.1109/99.615433
State	Published - 1997

ASJC Scopus subject areas

General Engineering

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10.1109/99.615433

Cite this

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title = "Intelligent visualization agent for simulation-based decision support",

abstract = "The IVA system can serve as a data-driven `visualization agent' for simulation environments. Using event expressions defined in a significant-event language, it extracts data of interest from very large data sets, and can modify the simulation based on detected events. A knowledge-based data mapping process helps create the most useful type of visualization to intelligently display the retrieved data.",

author = "Marefat, \{Michael M.\} and Varecka, \{Andrew F.\} and Jeff Yost",

note = "Funding Information: We thank George Ball for his help. This work has been supported by NSF HPCC Grand Challenge grant ASC-9318169.",

year = "1997",

doi = "10.1109/99.615433",

language = "English (US)",

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publisher = "IEEE Computer Society",

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AU - Marefat, Michael M.

AU - Varecka, Andrew F.

AU - Yost, Jeff

N1 - Funding Information: We thank George Ball for his help. This work has been supported by NSF HPCC Grand Challenge grant ASC-9318169.

PY - 1997

Y1 - 1997

N2 - The IVA system can serve as a data-driven `visualization agent' for simulation environments. Using event expressions defined in a significant-event language, it extracts data of interest from very large data sets, and can modify the simulation based on detected events. A knowledge-based data mapping process helps create the most useful type of visualization to intelligently display the retrieved data.

AB - The IVA system can serve as a data-driven `visualization agent' for simulation environments. Using event expressions defined in a significant-event language, it extracts data of interest from very large data sets, and can modify the simulation based on detected events. A knowledge-based data mapping process helps create the most useful type of visualization to intelligently display the retrieved data.

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Intelligent visualization agent for simulation-based decision support

Abstract

ASJC Scopus subject areas

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