Invention Grant
- Patent Title: Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning
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Application No.: US16161944Application Date: 2018-10-16
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Publication No.: US11226856B2Publication Date: 2022-01-18
- Inventor: Rabindra Chakraborty , Jay Kalra , Anupam Awasthi , Amol Awasthi
- Applicant: SENSLYTICS CORPORATION
- Applicant Address: US CA San Jose
- Assignee: SENSLYTICS CORPORATION
- Current Assignee: SENSLYTICS CORPORATION
- Current Assignee Address: US CA San Jose
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L29/08 ; H04L29/06

Abstract:
Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.
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