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Systems, methods and computer program products for self-tuning sensor data processing

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United States Patent

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10,837,811
November 17, 2020
View the Complete Patent at the US Patent & Trademark Office
Systems and methods are disclosed that include tools that utilize Dynamic Detector Tuning (DDT) software that identifies near-optimal parameter settings for each sensor using a neuro-dynamic programming (reinforcement learning) paradigm. DDT adapts parameter values to the current state of the environment by leveraging cooperation within a neighborhood of sensors. The key metric that guides the dynamic tuning is consistency of each sensor with its nearest neighbors: parameters are automatically adjusted on a per station basis to be more or less sensitive to produce consistent agreement of detections in its neighborhood. The DDT algorithm adapts in near real-time to changing conditions in an attempt to automatically self-tune a signal detector to identify (detect) only signals from events of interest. The disclosed systems and methods reduce the number of missed legitimate detections and the number of false detections, resulting in improved event detection.
15/ 828,188
November 30, 2017
1/1
G01D 18/00 (20060101)G06N 5/04 (20060101)G06N 20/00 (20190101)
STATEMENT OF GOVERNMENT INTEREST The United States Government has rights in this invention pursuant to Contract No. DE-AC04-94AL85000 between the United States Department of Energy and Sandia Corporation, and Contract No. DE-NA0003525 between the United State Department of Energy and National Technology & Engineering Solutions of Sandia, LLC, both for the operation of the Sandia National Laboratories.