SBIR/STTR Research Award

Real-time Simulation Network and Human Performance Device for DMT

Award identifier d8f7214a88195a4121263bfebdc260078f5ac425d1e846c80505e2b26ac58e37Awarding agency Department of Defense · Air Force

Award amount

$749,912

Program and phase

SBIR · Phase II

Award year

2003

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SYSTRAN FEDERAL CORP.
Proposal award date
Not reported
Contract end date
Not reported
UEI
KN47KKNMWKQ9
Solicitation number
Not reported
Topic code
Not reported

Research 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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

105 SBIR/STTR records share this UEI (1983–2008). Reported award amounts total $24,877,169. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Commerce, National Aeronautics and Space Administration, Department of Energy, National Science Foundation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.