Real-time Simulation Network and Human Performance Device for DMT

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,912.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-04-C-6400
Agency Tracking Number:
O022-0483
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
SYSTRAN FEDERAL CORP.
4027 Colonel Glenn Highway, Suite 210, Dayton, OH, 45431
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
023956415
Principal Investigator:
Carroll Day
Vice President, Research
(937) 429-9008
cday@systranfederal.com
Business Contact:
Kenneth Baker
President & Chief Operati
(937) 429-9008
kbaker@systranfederal.com
Research Institution:
n/a
Abstract
Systran Federal Corp. (SFC) and Science Applications International Corp. (SAIC) propose to develop, demonstrate, and commercialize the SNAPPY version 3.0 Real-time Simulation Network and Human Measurement Device for Distributed Mission Training (DMT).To efficiently train personnel and to optimize human interaction with simulation across DMT networks, it is essential to know human performance and network latencies in real time. Such measurements enable crucial distinctions between simulationinfrastructure delays and human factor deficiencies of the training system. The SNAPPY 3.0 network/human performance measurement device shall measure the latencies, provide the data in near real time, and record the data for detailed analysis later.Our proposal is based on previous successful programs that form the foundation for this low-risk, high-payoff proposal. The SFC/SAIC team has developed and demonstrated the legacy SNAPpy latency measurement system in previous projects. We are proposingto improve that system. This proposed program will improve the functionality and extend the purview of the legacy SNAPpy latency measurement system to the High Level Architecture (HLA) simulations. Understanding the latencies in Distributed MissionTraining (DMT) is urgent since an unknown but non-negligible latency may undercut the training, train for an erroneous system, or negate any training at all. If the latencies are unknown and unmeasured, those responsible for the training or trainingresearch are rendered impotent to provide training or understand the factors influencing their results.We propose to develop the capability to understand simulation latencies so simulation can be more dependable and the results more predictable. SFC proposes to develop and productize the SNAPpy 3.0 latency measurement system in response to the need tomeasure and analyze simulation latencies in real-time.We anticipate the product of this effort to have wide purview in simulation both military and commercial and applicability to communication and computer networks as well.

* information listed above is at the time of submission.

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