Machine learning approach to wave height prediction
US8423487B1 · kind B1 · utility
10Cited by
11References
6Claims
0Family size
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Key dates
| Filing date | Aug 11, 2010 |
| Grant date | Apr 16, 2013 |
| Priority date | — |
| Expiry date | Aug 20, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Sea characteristics are determined by using a buoy with multiple tilt switches configured to sense at plural tilt angles of the buoy. The tilt switches provide binary outputs of tilt data corresponding to the tilt angles. The binary outputs are received by a processor and are compared with sample patterns of tilt data. The comparison is used to provide an output corresponding to sea conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.