公开(公告)号：US11687622B2

公开(公告)日：2023-06-27

申请号：US17245245

申请日：2021-04-30

Applicant: Oracle International Corporation

Inventor： Amit Vaid ,  Karthik Gvd

IPC: G06F18/25 ,  G06V10/46 ,  G06F18/22 ,  G06F18/214 ,  G06F18/2433 ,  G06F18/2413

CPC classification number: G06F18/251 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2433 ,  G06F18/24147 ,  G06V10/464

Abstract: Embodiments match sensor data output by a sensor to a trained pattern. Embodiments form a plurality of windows of an identified pattern from the sensor data, each of the plurality of windows having a substantially equal window length to a length of the trained pattern. For each of the windows, embodiments generate a corresponding first Symbolic Aggregate approximation (“SAX”) word, determine a Hamming distance between the first SAX word and a second SAX word corresponding to the trained pattern, and determine a final distance score based on coefficients between the first SAX word and the second SAX word. For each of the windows, embodiments determine a number of positions in the first SAX word that do not contribute to the final distance score, update the Hamming distance after eliminating the number of positions and determine an average distance based on the final distance score and the updated Hamming distance.

公开(公告)号：US20220067572A1

公开(公告)日：2022-03-03

申请号：US17007601

申请日：2020-08-31

Applicant: Oracle International Corporation

Inventor： Amit Vaid ,  Vijayalakshmi Krishnamurthy

IPC: G06N20/00 ,  G06K9/62 ,  G06F16/28

Abstract: Techniques for providing actionable recommendations for configuring system parameters are disclosed. A set of environmental constraints and a set of values for a set of parameters for a target device is applied to a machine learning model to predict a first performance value of the target device. Candidate values for the set of parameters are identified that are within a threshold range from the first set of values in a multi-dimensional space. For each particular candidate set of values of the candidate sets of values the machine learning model to predicts a performance value of the target device and identifies a subset of the candidate sets of values with corresponding performance values that meet a performance criteria. A subset of candidate sets of values that meets performance criteria is provided as a recommendation.

公开(公告)号：US20210406110A1

公开(公告)日：2021-12-30

申请号：US17147737

申请日：2021-01-13

Applicant: Oracle International Corporation

Inventor： Amit Vaid ,  Karthik Gvd ,  Vijayalakshmi Krishnamurthy ,  Vidya Mani

IPC: G06F11/07 ,  G06K9/62 ,  G06N20/00

Abstract: Techniques for identifying anomalous multi-source data points and ranking the contributions of measurement sources of the multi-source data points are disclosed. A system obtains a data point including a plurality of measurements from a plurality of sources. The system determines that the data point is an anomalous data point based on a deviation of the data point from a plurality of additional data points. The system determines a contribution of two or more measurements, from the plurality of measurements, to the deviation of the data point from the plurality of additional data points. The system ranks the at least the two or more measurements, from the plurality of measurements, based on the respective contribution of each of the two or more measurements to the deviation of the anomalous data point from the plurality of prior data points.