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Topological Data Analysis and Wide Area Detection of Chemical and Biological…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2010 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
ARMY 10T020
Solicitation Number:
Small Business Information
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2010
Title: Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination
Agency / Branch: DOD / ARMY
Contract: W911SR-10-P-0029
Award Amount: $99,985.00


Topological data analysis is a new mathematical method used to study these massive data sets that arise in a variety of situations including military operations and national security. The use of passive infrared sensors for a wide area detection system involving chemical and biological contaminants produces massive amounts of hyperspectral image data. Recent research in this area include fast algorithms for computing homology dimension, the extension of homology from sets to distributions and functions, and a smart convolution filter that interprets local topological features that span between user defined geometric boundaries. Together these innovations give a new morphology grammar implemented through the geometry of the filter, its density distribution values, and iteration with other statistical procedures that extracts and manipulates the desired information in the most effective and efficient manner possible. If successfully demonstrated, the use of homology could change the very nature of data analyses for a multitude of national security and military situations where the current statistical methods are not capable of detecting qualitative structures.

Principal Investigator:

Daniel Kling

Business Contact:

Robert Torbin
Director of Business Development
Small Business Information at Submission:

Folded Structures Company LLC
1142A Old York Road Ringoes, NJ 08551

EIN/Tax ID: 542188053
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Minnesota
206 Church Street SE
Minneapolis, MN 55455
Contact: Ren Guo
Contact Phone: 6126251119