Invention Grant
- Patent Title: Formulizing time-series sensor data to facilitate compact storage and eliminate personally identifiable information
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Application No.: US16052638Application Date: 2018-08-02
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Publication No.: US11500411B2Publication Date: 2022-11-15
- Inventor: Kenny C. Gross , Guang C. Wang , Steven T. Jeffreys , Alan Paul Wood , Coleen L. MacMillan
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Park, Vaughan, Fleming & Dowler LLP
- Main IPC: G06F1/02
- IPC: G06F1/02 ; G06F17/18 ; G06K9/00 ; G06F16/2458 ; G06F1/03

Abstract:
The disclosed embodiments relate to a system that compactly stores time-series sensor signals. During operation, the system receives original time-series signals comprising sequences of observations obtained from sensors in a monitored system. Next, the system formulizes the original time-series sensor signals to produce a set of equations, which can be used to generate synthetic time-series signals having the same correlation structure and the same stochastic properties as the original time-series signals. Finally, the system stores the formulized time-series sensor signals in place of the original time-series sensor signals.
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