Dynamic data-driven application systems for empty houses, contaminat tracking, and wildland fireline prediction

被引：0

作者：

Douglas, Craig C. ^{[1
,2
]}

Bansal, Divya ^{[1
]}

Beezley, Jonathan D. ^{[3
]}

Bennethum, Lynn S. ^{[3
]}

Chakraborty, Soham ^{[1
]}

Coen, Janice L. ^{[4
]}

Efendiev, Yalchin ^{[5
]}

Ewing, Richard E. ^{[5
]}

Hatcher, Jay ^{[1
]}

Iskandarani, Mohamed ^{[6
]}

Johnson, Christopher R. ^{[7
]}

Li, Deng ^{[1
]}

Kim, Minjeong ^{[3
]}

Lodder, Robert A. ^{[8
]}

Mandel, Jan ^{[3
]}

Qin, Guan ^{[5
]}

Vodacek, Anthony ^{[9
]}

机构：

[1] Univ Kentucky, Dept Comp Sci, 773 Anderson Hall, Lexington, KY 40506 USA

[2] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA

[3] Univ Colorado, Hlth Sci Ctr, Dept Math Sci, Denver 80217, CO USA

[4] Natl Ctr Atmospher Res, Boulder, CO 80307 USA

[5] Texas A&M Univ, Inst Comp Sci, College Stn, TX 77843 USA

[6] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA

[7] Univ Utah, Scientif Comp & Imaging Inst, Salt Lake City, UT 84112 USA

[8] Univ Kentucky, Dept Chem, Lexington, KY 40506 USA

[9] Rochester Inst Technol, Ctr Imaging Sci, Rochester, NY 14623 USA

来源：

GRID-BASED PROBLEM SOLVING ENVIRONMENTS | 2007年 / 239卷

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We describe three different dynamic data-driven applications systems (DDDAS): an empty house, a contaminant identification and tracking, and a wildland fire. Each has something in common with all of the rest and can use some common tools. Each DDDAS is quite complicated in comparison to a traditional static input simulation that is run with large numbers of inputs instead of one longer run that is self-correcting.

引用

页码：255 / +

页数：4

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