ANTIVIRAL TARGET FOR KAPOSIS ASSOCIATED HERPESVIRUS

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$97,370.00
Award Year:
1999
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
45613
Agency Tracking Number:
1R43CA079373-01
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2201 W CAMPBELL PARK DR, CHICAGO, IL, 60612
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
JOANY CHOU
() -
Business Contact:
(312) 829-1270
JCHOU2@AOL.COM
Research Institution:
n/a
Abstract
Not Available As aircraft become more sophisticated and the concerns for safety increase, researchers and engineers increasingly rely on aircraft modeling and simulation to perform detailed and analysis prior to and during a flight test program. The key to the fidelity of any simulation is the quality of the underlying aerodynamic database, and while it is relatively straightforward to collect the initial data required for such a database, it is often the case that, during flight tests, the aircraft behaves different than predicted. In these situations, it is desirable to update the simulation data based on information gathered during actual flight tests. The proposed research will address two significant issues related to database updating: (1) how to properly structure the flight-data identification problem to allow identification of aerodynamics that may be nonlinear functions of the independent variables, and (2) how to convert the information obtained from flight-test analysis into a form suitable for use in a simulation. The resulting algorithms and software tools will be applicable in any field where one maintains data related to system behavior and wishes to use real-time experiments to revise these data. Such systems occur in diverse fields ranging from chemical process control to medical prognostics to fraud detection.

* information listed above is at the time of submission.

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