TraceLogic; Automated Rule Learning from Data Traces

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$79,980.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-P-1104
Award Id:
n/a
Agency Tracking Number:
N131-075-0980
Solicitation Year:
2013
Solicitation Topic Code:
N131-075
Solicitation Number:
2013.1
Small Business Information
1408 University Drive East, College Station, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
PaulKoola
Research Scientist
(979) 260-5274
pkoola@kbsi.com
Business Contact:
DonielleMayer
Business Operations Manag
(979) 260-5274
dmayer@kbsi.com
Research Institute:
Stub




Abstract
KBSI proposes to research the development of methods, process and algorithms to decipher the hidden rules or logic of complex traffic patterns"traces of aircraft, people and equipment on Aircraft Carriers. We call this system that performs automated rule learning from data traces - TraceLogic. Operations on aircraft carriers are described as controlled chaos. Complex organizational systems such as onboard carriers adapt and learn and hence do not operate on predetermined low level rules, but rather on high level guidelines. Critical situations that have never been seen before are best tackled by such an adaptive and well trained organization. The main outcomes of the proposed TraceLogic project are: (i) research of the design and demonstration of methods, process and algorithms to decipher the hidden rules or logic of complex traffic patterns, (ii) research of the development of distributed sensor fusion architecture combining knowledge of aircraft carrier operations and sensor capabilities to generate trace data; and (3) eventual integration with existing virtual carrier simulation systems and programs, to accelerate commercialization. Our solution will likely produce significant long term benefits that address the technical and pragmatic problems associated with improving the performance and capability of our aircraft carriers, doing more with less.

* information listed above is at the time of submission.

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