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Information-Fusion based Indication & Warning Assessment and Recognition System…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
62349
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F031-3307
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: Information-Fusion based Indication & Warning Assessment and Recognition System (IIWARS)
Agency / Branch: DOD / USAF
Contract: FA8750-04-C-0080
Award Amount: $742,922.00
 

Abstract:

We propose to design, develop, and validate an Information-Fusion based Indication & Warning Assessment and Recognition System (IIWARS) for assessing and discovering asymmetric threats. The proposed approach combines text mining and machine learning techniques with information fusion to facilitate dynamic and adaptive threat monitoring and prediction. The main product will be a an application-hardened IIWARS software system that will facilitates the automated generation of threat information from distributed, multi-source, text data to support early detection of emerging asymmetric threats. IIWARS innovative methods include text and data mining for asymmetric threat assessment, information fusion, and hybrid threat learning using machine learning and ontology-assisted methods. Building off the threat assessment and threat learning capabilities developed and demonstrated in the successful Phase I project, the proposed Phase II project will (i) refine and enhance the IIWARS threat assessment methods, (ii) refine and enhance the IIWARS threat learning methods, (iii) develop and test a focused IIWARS homeland security asymmetric threat assessment application, and (iv) generalize and transition IIWARS for large scale Air Force, DoD, and commercial applications. We anticipate rapid transition of the IIWARS technology innovations into ongoing and planned advanced technology development and demonstration initiatives at the Rome Air Force Research Laboratory.

Principal Investigator:

Perakath Benjamin
9792605274
pbenjamin@kbsi.com

Business Contact:

Donielle Mayer
9792605274
dmayer@kbsi.com
Small Business Information at Submission:

KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East College Station, TX 77840

EIN/Tax ID: 742505334
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No