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Incremental Knowledge Assimilation System (IKAS)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-C-0286
Agency Tracking Number: N091-066-1221
Amount: $731,558.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N091-066
Solicitation Number: 2009.1
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-08-26
Award End Date (Contract End Date): 2012-02-25
Small Business Information
11150 W. Olympic Blvd. Suite 680
Los Angeles, CA -
United States
DUNS: 112136572
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Joseph Yadegar
 EVP R&D
 (310) 473-1500
 joseph@utopiacompression.com
Business Contact
 Joseph Yadegar
Title: EVP R&D
Phone: (310) 473-1500
Email: joseph@utopiacompression.com
Research Institution
N/A
Abstract

Mine countermeasures are an important aspect of Navy reconnaissance interests and reliable mine detection still remains a challenge. For automatic mine detection in underwater sonar applications, research has indicated that identifying the context of the scene will improve the recognition performance. Further, there is a need to constantly update and modify the representative knowledge base with information from new target and background samples. In Phase I, UtopiaCompression(UC) designed and demonstrated an Incremental Knowledge Assimilation System (IKAS) that identifies the environmental context in the scene and optimally incorporates new and relevant data samples into the knowledge base (classifier) in an incremental fashion with minimal memory and computation requirements. In Phase II, UC will be maturing this technology by incorporating active learning techniques that reduce the amount of operator input needed, improving statistical models for mine detection and classification, and enhancing the unsupervised context modeling module. The resulting system will be capable of detecting multiple targets in side-scan sonar images with varied seafloor backgrounds and classifying these targets as threats or harmless. IKAS’s ability to update its knowledge with minimal user input and detect mines reliably will make it a huge boon to mine countermeasures within the Navy, DoD, and beyond.

* Information listed above is at the time of submission. *

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