Drilling framework
US-2024419867-A1 · Dec 19, 2024 · US
US9449122B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9449122-B2 |
| Application number | US-201314026222-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 13, 2013 |
| Priority date | Jan 25, 2013 |
| Publication date | Sep 20, 2016 |
| Grant date | Sep 20, 2016 |
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A system for performing time conversions that includes a processor configured to generate a set of target time-series data from a set of source time-series data and a memory containing specification information relating to the set of target time-series data and also containing information relating to the set of source time-series data. The source time-series specification and the target time-series specification include time intervals between data values. The system also includes a time alignment algorithm used by the processor for converting the set of source time-series data to the set of target time-series data. The converting includes calculation of a set of cubic-spline interpolation constants and the cubic-spline constants.
Opening claim text (preview).
What is claimed is: 1. A conversion system, comprising: a processor configured to generate a set of target time-series data from a set of source time-series data; a memory containing specification information relating to said set of target time-series data and also containing information relating to said set of source time-series data, said source time-series specification and said target time-series specification including time intervals between data values; and a time alignment algorithm used by said processor for converting said set of source time-series data to said set of target time-series data, wherein said converting includes calculation of a set of cubic-spline interpolation constants, said cubic-spline constants being calculated via a plurality of linear equations having a diagonal structure. 2. The system of claim 1 , wherein the processor includes a plurality of processors each configured to retrieve and store data in a plurality of memory devices. 3. The system of claim 1 , wherein said linear equations are calculated based on a set of cubic-spline interpolation constants. 4. The system of claim 3 , wherein said linear equations have a unique solution for calculating said cubic spline interpolation constant. 5. A time conversion system, comprising: a computer having a plurality of processors configured to receive a specification request for generating a set of target time-series data from a set of source time-series data, said computer configured for: obtaining specification information relating to said set of target time-series data; obtaining information relating to said set of source time-series data, said specifications for said source time-series data and said target time series data including time intervals between data values; and converting said set of source time-series data to said set of target time-series data, wherein said converting includes calculating a set of cubic-spline interpolation constants by said plurality of processors. 6. The system of claim 5 , wherein data are retrieved and stored in a plurality of memory devices and portions of said data are stored in different processors. 7. The system of claim 6 , wherein said calculating is performed by said plurality of processors by assigning a portion of data to a subgroup of said processors such that said data portion is divided in a plurality of strata among different processors of said plurality of processors. 8. The system of claim 7 , wherein said calculating is performed based on a set of cubic-spline interpolation constants made based on a plurality of equations having a diagonal structure. 9. The system of claim 8 , wherein each processor of said plurality of processors is only assigned one stratum and said processors process data in said strata simultaneously. 10. The system of claim 9 , wherein said strata are overlapping to provide data flow between processors. 11. The system of claim 10 , wherein said processing of data continues until there are either no more data to process or a data stopping condition is encountered. 12. The system of claim 11 , wherein data are retrieved and stored in a memory that is in processing communication with said plurality of processors. 13. The system of claim 12 , wherein data are retrieved and stored in a plurality of memory devices and portions of said data are stored in different processors. 14. The system of claim 13 , wherein said calculating a set of cubic-spline interpolation constants is made based on a plurality of linear equations. 15. The system of claim 14 , wherein said linear equations have a diagonal structure. 16. The system of claim 15 , wherein said converting employs an algorithm that uses a plurality of linear equations to calculate said cubic-spline interpolation. 17. The system of claim 16 , wherein said converting employs an algorithm that uses a plurality of linear equations having a unique solution for calculating a cubic spline interpolation constant.
using finite element methods [FEM] or finite difference methods [FDM] · CPC title
Timing analysis or timing optimisation · CPC title
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
Physics · mapped topic
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