A note on data-driven contaminant simulation

Craig C. Douglas; Chad E. Shannon; Yalchin Efendiev; Richard Ewing; Victor Ginting; Raytcho Lazarov; Martin J. Cole; Greg Jones; Chris R. Johnson; Jennifer Simpson

doi:10.1007/978-3-540-24688-6_91

A note on data-driven contaminant simulation

Craig C. Douglas^*, Chad E. Shannon, Yalchin Efendiev, Richard Ewing, Victor Ginting, Raytcho Lazarov, Martin J. Cole, Greg Jones, Chris R. Johnson, Jennifer Simpson

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

21 Scopus citations

Abstract

In this paper we introduce a numerical procedure for performing dynamic data driven simulations (DDDAS). The main ingredient of our simulation is the multiscale interpolation technique that maps the sensor data into the solution space. We test our method on various synthetic examples. In particular we show that frequent updating of the sensor data in the simulations can significantly improve the prediction results and thus important for applications. The frequency of sensor data updating in the simulations is related to streaming capabilities and addressed within DDDAS framework. A further extension of our approach using local inversion is also discussed. Springer-Verlag 2004.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Marian Bubak, Geert Dick van Albada, Peter M. A. Sloot, Jack J. Dongarra
Publisher	Springer Verlag
Pages	701-708
Number of pages	8
ISBN (Print)	3540221166
DOIs	https://doi.org/10.1007/978-3-540-24688-6_91
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3038
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-24688-6_91

Cite this

Douglas, C. C., Shannon, C. E., Efendiev, Y., Ewing, R., Ginting, V., Lazarov, R., Cole, M. J., Jones, G., Johnson, C. R., & Simpson, J. (2004). A note on data-driven contaminant simulation. In M. Bubak, G. D. van Albada, P. M. A. Sloot, & J. J. Dongarra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 701-708). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3038). Springer Verlag. https://doi.org/10.1007/978-3-540-24688-6_91

Douglas, Craig C. ; Shannon, Chad E. ; Efendiev, Yalchin et al. / A note on data-driven contaminant simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Marian Bubak ; Geert Dick van Albada ; Peter M. A. Sloot ; Jack J. Dongarra. Springer Verlag, 2004. pp. 701-708 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Douglas, {Craig C.} and Shannon, {Chad E.} and Yalchin Efendiev and Richard Ewing and Victor Ginting and Raytcho Lazarov and Cole, {Martin J.} and Greg Jones and Johnson, {Chris R.} and Jennifer Simpson",

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Douglas, CC, Shannon, CE, Efendiev, Y, Ewing, R, Ginting, V, Lazarov, R, Cole, MJ, Jones, G, Johnson, CR & Simpson, J 2004, A note on data-driven contaminant simulation. in M Bubak, GD van Albada, PMA Sloot & JJ Dongarra (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3038, Springer Verlag, pp. 701-708. https://doi.org/10.1007/978-3-540-24688-6_91

A note on data-driven contaminant simulation. / Douglas, Craig C.; Shannon, Chad E.; Efendiev, Yalchin et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Marian Bubak; Geert Dick van Albada; Peter M. A. Sloot; Jack J. Dongarra. Springer Verlag, 2004. p. 701-708 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3038).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Shannon, Chad E.

AU - Efendiev, Yalchin

AU - Ewing, Richard

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AU - Lazarov, Raytcho

AU - Cole, Martin J.

AU - Jones, Greg

AU - Johnson, Chris R.

AU - Simpson, Jennifer

PY - 2004

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AB - In this paper we introduce a numerical procedure for performing dynamic data driven simulations (DDDAS). The main ingredient of our simulation is the multiscale interpolation technique that maps the sensor data into the solution space. We test our method on various synthetic examples. In particular we show that frequent updating of the sensor data in the simulations can significantly improve the prediction results and thus important for applications. The frequency of sensor data updating in the simulations is related to streaming capabilities and addressed within DDDAS framework. A further extension of our approach using local inversion is also discussed. Springer-Verlag 2004.

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Douglas CC, Shannon CE, Efendiev Y, Ewing R, Ginting V, Lazarov R et al. A note on data-driven contaminant simulation. In Bubak M, van Albada GD, Sloot PMA, Dongarra JJ, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 701-708. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24688-6_91

A note on data-driven contaminant simulation

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