Invention Grant
- Patent Title: Adaptive calibration of sensors through cognitive learning
-
Application No.: US15787879Application Date: 2017-10-19
-
Publication No.: US11143532B2Publication Date: 2021-10-12
- Inventor: Wei Sun , Ning Duan , Ren Jie Yao , Chun Yang Ma , Peng Ji , Jing Chang Huang , Peng Gao , Zhi Hu Wang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Jared C. Chaney
- Main IPC: G01D18/00
- IPC: G01D18/00 ; H04W84/04 ; G01D21/02 ; G06N20/00 ; H04W84/18

Abstract:
Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.
Public/Granted literature
- US20190121782A1 ADAPTIVE CALIBRATION OF SENSORS THROUGH COGNITIVE LEARNING Public/Granted day:2019-04-25
Information query