Development of New Processes for the Refurbishment of Infrared Search and Track (IRST) Germanium (Ge) domes

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$64,409.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
N00039-01-C-3152
Award Id:
53613
Agency Tracking Number:
N011-0766
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
125 West Park Loop, Suite 201, Huntsville, AL, 35806
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
102115136
Principal Investigator:
Robert Cox
Principal Investigator
(256) 721-1288
cox@oti-hsv.com
Business Contact:
Patricia Thompson
Director, Contracts Admin
(256) 721-1288
pthomps@oti-hsv.com
Research Institution:
n/a
Abstract
OTI proposes to research and develop the Runtime Evaluation and Prediction System (REPS) technologies providing the advanced methodology, techniques and integrated tool suite required for the most effective utilization of existing simulation capabilitiesfor real-time or near-real time course-of-action (COA) analysis. In rapidly changing environments, maximum benefit from simulation technologies can be achieved only if the simulation users can reliably predict the time delay from the beginning of asimulation-based analysis effort until the results become available. In addition, REPS capabilities will greatly improve the potential benefit from simulation through significant improvement of productivity from the available resources, including bothcomputing resources and human analyst resources. Significant productivity enhancements are expected from REPS as a consequence of better allocation of the limited human and machine resources to focus on those simulation scenarios that are likely toproduce the required analysis results within the specified time constraints.As both DoD and commercial systems continually grow in size and complexity, simulation techniques are increasingly used to evaluate expected system behavior under a wide range ofpossible conditions. However, increasing size and complexity of the modeled systems also tends to rapidly increase the runtimes for the simulations and the application of simulations for course-of-action (COA) analysis requires that the simulation-basedanalysis results be available in time to impact the decision making process. Furthermore, it is frequently the case that the selection of simulation configuration parameters can have a very large impact on the runtime of a simulation experiment. REPSprovides the additional automated tool support is necessary to reliably and accurately predict the runtime of a simulation model based on the configuration of models, model parameters, and the availability of simulation execution host machines.REPS research will greatly improve the ability to quickly and accurately predict the runtime for simulations employed for the purpose of course-of-action (COA) analysis. Specific benefits from improved predictive abilities include: 1) greatereffectiveness of existing simulation based course-of-action (COA) analysis techniques; 2) more efficient utilization of scares human resources; 3) more efficient utilization of limited computing resources; 4) reduced frequency of analysis results that arenot produced in time to be useful for decision making processes.

* information listed above is at the time of submission.

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