 |
|
|
Award Abstract #0326386
ITR/NGS: A Framework for Discovery, Exploration and Analysis of Evolutionary Simulation Data (DEAS)
| NSF Org: |
CNS
Division of Computer and Network Systems
|
|
|
| Initial Amendment Date: |
August 22, 2003 |
|
| Latest Amendment Date: |
August 31, 2006 |
|
| Award Number: |
0326386 |
|
| Award Instrument: |
Continuing grant |
|
| Program Manager: |
Anita J. LaSalle
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
|
|
| Start Date: |
September 15, 2003 |
|
| Expires: |
August 31, 2008 (Estimated) |
|
| Awarded Amount to Date: |
$806600 |
|
| Investigator(s): |
Raghu Machiraju machiraju.1@osu.edu (Principal Investigator)
John Wilkins (Co-Principal Investigator)
Srinivasan Parthasarathy (Co-Principal Investigator)
|
|
| Sponsor: |
Ohio State University Research Foundation
1960 KENNY RD
Columbus, OH 43210 614/292-3732
|
|
| NSF Program(s): |
ITR MEDIUM (GROUP) GRANTS,
INFORMATION TECHNOLOGY RESEARC
|
|
| Field Application(s): |
0000099 Other Applications NEC,
0000912 Computer Science
|
|
| Program Reference Code(s): |
HPCC, 9251, 9215, 2884, 1687, 1652
|
|
| Program Element Code(s): |
1687, 1640
|
ABSTRACT
In science the challenge is always finding a signal in the noise. Examples include hurricane forecasting and monitoring both intelligence and seismic activity.
Our proposal addresses these issues through a broad framework we call generalized feature mining. The framework has two major components: feature mining, and shape-based data mining and analysis. At its core, feature mining detects features for a specific application domain. Each instance involves a specific extended shape description tailored to it. For evolutionary simulations, feature mining also tracks features across multiple temporal scales. Shape-based data mining and analysis learn from the process. The aim is to correlate information from the extended shape descriptors with transient detection to find or refine spatio-temporal rules for the evolution of features. Environmental influences, such as walls, must be built into the rules so they are predictive.
To close the loop, the detected features can be displayed as they are found or refined. The evolutionary rules predicted by our framework can lead to new science { not only understanding the underlying phenomena but also leading to computationally simpler models that encapsulate the essentials.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
|
(Showing: 1 - 10 of 16)
(Showing: 1 - 16 of 16)
|
Show All |
A. Shih, Y. Ito, R. Koomullil, T. Kasmai, M. Jankun-Kelly, D. Thompson, and W. Brewer. "Solution Adaptive Mesh Generation using Feature-Aligned Embedded Surface Meshes," AIAA 45th Aerospace Sciences Meeting and Exhibit, 2007, p. 0558.
B. Soni, C. Lindley, and D. Thompson. "Simultaneous Effects Of Nonplanarity And Asymmetry On Small Bronchial Tube Flows And Microparticle Transport," The Seventh Mississippi State - UAB Conference on Differential Equations & Computational Simulations, 2007.
B. Soni, D. Thompson, and R. Machiraju. "Visualizing Particle/Flow Structure Interactions in the Small Bronchial Tubes," IEEE Transactions on Visualization and Computer Graphics, v.14, 2008, p. 1412.
C. Lindley, B. Soni, and D. Thompson. "Effects of Inlet Velocity Profile on Flows in Multigenerational Bronchial Tubes," The Seventh Mississippi State - UAB Conference on Differential Equations & Computational Simulations, 2007.
D. Thompson, S. Parthasarathy, R. Machiraju, and S. Lawrence. "Improvements to Response-Surface Based Vehicle Design using a Feature-Centric Framework," Proceedings of the International Conference on Computational Science, v.1, 2004, p. 350.
D.A. Richie, J.N. Kim, S.A. Barr, K.R.A. Hazzard, R. Hennig and
J. W. Wilkins. "Complexity of small siliconself-interstitial defects
," Physical Review Letters, v.94, 2004, p. 045501.
Gheorghe Craciun, Ming Jiang, David S. Thompson, and Raghu Machiraju
. "Spatial Domain Wavelet Design for Feature Preservation in Computational Datasets," IEEE Transactions on Visualization and Computer Graphics,, v.11, 2005, p. 149.
M. Jankun-Kelly, B. Shannahan, M. Jiang, D. Thompson, and R. Machiraju. "Vortex Characterization for Engineering Applications," AIAA 46th Aerospace Sciences Meeting and Exhibit, 2008.
M. Jankun-Kelly, M. Jiang, D. Thompson, and R. Machiraju. "Vortex Visualization for Practical Engineering Applications," IEEE Trans. Vis. Comp. Graphics, v.Vol. 12, 2006.
R. S. Laramee, G. Chen, M. Jankun-Kelly, E. Zhang, and D. Thompson. "Topology-Based Visualization Techniques to the Application Domain," Topology-Based Methods in Visualization, 2007.
R. S. Laramee, G. Chen, M. Jankun-Kelly, E. Zhang, and D. Thompson. "Bringing Topology-Based Visualization Techniques to the Application Domain," Topology-Based Methods in Visualization, 2008.
Sameep Mehta, Kaden Hazzard, Raghu Machiraju, Srinivasan Parthasarathy and John Wilkins. "Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data," Proceedings of IEEE Conference on Visualization 2004, 2004, p. 475.
Sameep Mehta, Steve Barr, Alex Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju and John Wilkins,. "Dynamic Classification of Anomalous Structures in Molecular Dynamics Simulation Data," Proceedings of SIAM conference on Data Mining 2005, 2005, p. 161.
Y. A. Du, S. A. Barr, K. R. A. Hazzard, T. J. Lenosky, J. W. Wilkins. "Fast diffusion mechanism of silicon tri-interstitial defects," Physical Review B 72, 2005, p. 241306.
Y.A.Du, R.G.Hennig, T.J.Lenosky, J.W.Wilkins. "From compact point defects to extended structures in silicon," Eur. Phys. Journal B, 2007, p. 229.
Yang, Parthasarathy and Ucar. "Protein Folding Trajectories: Summarization, Event Detection and Consensus Partial FOlding Pathway Identification," Algorithms for Molecular Biology, v.2, 2007, p. 3.
|
(Showing: 1 - 10 of 16) (Showing: 1 - 16 of 16) |
Show All |
Please report errors in award information by writing to: awardsearch@nsf.gov.
|
|
|
