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Cognitive Ultra-low Power Sensor System (CUPSS)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-C-0185
Agency Tracking Number: N11A-021-0558
Amount: $1,483,954.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N11A-T021
Solicitation Number: 2011.1
Solicitation Year: 2011
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-04-04
Award End Date (Contract End Date): 2016-01-11
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD 20855
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Devendra Tolani
 Lead Scientist/Program Ma
 (301) 294-4630
Business Contact
 Mark James
Title: Director, Contracts and P
Phone: (301) 294-5221
Research Institution
 University of Michigan
 Dennis Sylvester
1301 Beal Ave., 2417C EECS
Ann Arbor, MI 48109
United States

 (734) 615-8783
 Nonprofit College or University

The Navy's role in the Global War on Terrorism (GWOT) has necessitated a variety of activities that require long-term, reliable intelligence, reconnaissance, and surveillance. For tactically relevant applications, the endurance and performance tradeoff remain the limiting factors in determining how long sensing and analytic capabilities can remain operative while unattended. In this proposal, Intelligent Automatic Inc. (IAI in collaboration with University of Michigan, propose a novel sensing system called Cognitive Ultra-low Power Sensor System (CUPSS). CUPPS has the following features and innovations: 1) A multimodal sensing node with wireless fencing capability supported by ultra low power (pW-nW), compact Phoenix hardware platform which leverages a comprehensive sleep strategy. 2) A Cognitive sensor management framework for heterogeneous, sensor modalities; sensed events; and signal propagation which allows for smart sensor positioning and power management. 3) A hierarchical sensor placement and fusion architecture to efficiently reduce model complexity and uncertainty and to identify friendly encounters from threat intrusions and 4) A sensor middleware supporting hardware and algorithm abstraction and software wizards to rapidly integrate new sensors, and easily update the sensor sleep/trigger hierarchy and rules by a non-technical human operator.

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

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