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UPDATING OF MODEL-PREDICTED DIRECTIONAL WAVE SPECTRA USING REAL-TIME MEASUREMENTS AND ARTIFICIAL INTELLIGENCE
Award Information
Agency: Department of Commerce
Branch: N/A
Contract: N/A
Agency Tracking Number: 6921
Amount:
$50,000.00
Phase:
Phase II
Program:
SBIR
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Timeline
Solicitation Year:
N/A
Award Year:
1988
Award Start Date (Proposal Award Date):
N/A
Award End Date (Contract End Date):
N/A
Small Business Information
Po Box 2074
Orinda, CA
94563
United States
DUNS:
N/A
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: Dr Henry Chen
Title: President
Phone: () -
Title: President
Phone: () -
Business Contact
Phone: () -
Research Institution
N/A
Abstract
AN INNOVATIVE APPROACH TO UPDATING THEORECTICAL MODEL-PREDICTED DIRECTIONAL WAVE SPECTRA USING REAL-TIME AND ARTIFICIAL INTELLIGENCE CONCEPTS IS PROPOSED. CURRENT NUMERICAL WAVE FORECAST MODEL DO NOT UTILIZE REAL-TIME MEASUREMENTS FROM SHIP REPORTS, WAVE BUOYS AND SATELLITE REMOTE SENSING DATA AS INPUTS TO UPDATE ITS FORECAST. THE PROPOSED RESEARCH WILL DEVELOP A COHERENT METHODOLOGY TO RECREATE DIRECTIONAL WAVE SPECTRA BASED ON AGGREGATE OR IMPERFECT MEASUREMENTS FOR UPDATING MODEL PREDICTED DIRECTIONAL WAVE SPECTRA.
* Information listed above is at the time of submission. *