Near Surface Imaging in Soils for Archeological Assessments

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
1999
Program:
SBIR
Phase:
Phase I
Contract:
A982-0359
Award Id:
44923
Agency Tracking Number:
A982-0359
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
245 West Roosevelt Systems, Chicago, IL, 60185
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Donald Yuhas
(630) 876-8981
Business Contact:
() -
Research Institute:
n/a
Abstract
Not Available To protect the US against limited nuclear attacks, the NMD system must operate successfully in nuclear-disturbed environments. A key to successfully negating nuclear threat is selecting a battleplan that ensures that NMD system performance is not too severely degraded by nuclear effects. While prompt nuclear effects are easy to plan around, persistent nuclear environments are more problematic, especially with the fast-running, lower-fidelity algorithms that BMC2 must use. MRC has long been among the nation's leaders in predicting nuclear environments and their impacts on system performance. We will combine this experience with expertise in artificial neural networks (ANN) to develop and train an ANN for use as a real-time decision aid in selecting optimal battleplans that minimize direct and collateral nuclear impacts. We will develop our decision aid so it can be used as an integral element in the BMC2 battleplanning process, dynamically responding to an evolving threat and providing risk assessments that would not otherwise be available. It will assess multiple battleplans, then inform a human in control (HIC) of the probability of success and costs/benefits of each plan so they will be adequately informed when selecting an actual battleplan. The Phase I effort will demonstrate that a neural network can be trained to predict the outcome of a candidate NMD battleplan in the presence of possible nuclear bursts. It will provide the human-in-control with an assessment of the nuclear-induced risks to the performance of vital elements in the system. Similar decision aids could be developed for other ballistic missile defense program, such as THAAD, Navy TMD, or even the Israeli Arrow program. The concept could also be applied to TMD deployment planning to minimize the risks of nuclear, biological, or chemical collateral damage to civilian or military assets.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government