Knowledge-aided Interface for Big Data Streams

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-14-C-0020
Agency Tracking Number: O133-LD2-2087
Amount: $149,997.00
Phase: Phase I
Program: SBIR
Awards Year: 2014
Solicitation Year: 2013
Solicitation Topic Code: OSD13-LD2
Solicitation Number: 2013.3
Small Business Information
1050 W NASA Blvd, Suite 155, Melbourne, FL, 32901-
DUNS: 038379579
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bruce McQueary
 President
 (321) 591-7371
 bmcqueary@securboration.com
Business Contact
 Lynn Lehman
Title: CEO
Phone: (919) 244-3946
Email: contracts@securboration.com
Research Institution
N/A
Abstract
Soldiers at the tactical edge of today"s military operations have information requirements that are not met by current ISR systems. They need to make quick decisions while interacting in densely populated environments comprised of friendly, hostile, and neutral host nation locals. Enabled by ubiquitous mobile devices, social media has emerged as the local populace"s dominant form of communication. The unprecedented speed at which social media enables many to many interactions coupled with the volatile nature of these environments, makes it a critical intelligence source for the edge Soldier. To provide an innovative capability that fulfills this need, Securboration proposes to research and develop the Augmented Reality for Tactical Edge Analysis system, or ARTEA. Our approach is unique because rather than relying on incremental changes to existing capability and military data sources, we leverage, extend, and apply novel emerging state-of-the-art research. ARTEA applies deep machine learning and noise reduction algorithms to big-data social media streams to identify patterns, extract attitude trends and shifts; and present the most salient features of that derived knowledge immediately to the edge Soldier via non-intrusive augmented reality devices (AR), such as Google Glass.

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

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