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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
 Dr Henry Chen
 President
 () -
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. *

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