公开(公告)号：US20230358872A1

公开(公告)日：2023-11-09

申请号：US17735245

申请日：2022-05-03

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Matthew T. GERDES ,  Guang C. WANG ,  Timothy D. CLINE ,  Kenny C. GROSS

IPC: G01S7/52 ,  G01S15/89

CPC classification number: G01S7/52001 ,  G01S15/89 ,  G01S7/52004

Abstract: Systems, methods, and other embodiments associated with acoustic fingerprint identification of devices are described. In one embodiment, a method includes generating a target acoustic fingerprint from acoustic output of a target device. A similarity metric is generated that quantifies similarity of the target acoustic fingerprint to a reference acoustic fingerprint of a reference device. The similarity metric is compared to a threshold. In response to a first comparison result of the comparing of the similarity metric to the threshold, the target device is indicated to match the reference device. In response to a second comparison result of the comparing of the similarity metric to the threshold, it is indicated that the target device does not match the reference device.

公开(公告)号：US20230327789A1

公开(公告)日：2023-10-12

申请号：US17715449

申请日：2022-04-07

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Guang C. WANG ,  Matthew T. GERDES ,  Kenny C. GROSS ,  Alan P. WOOD

IPC: H04B17/391

CPC classification number: H04B17/3912

Abstract: Systems, methods, and other embodiments associated with eviction of weakly correlated signals from collections are described. In one embodiment, a mock signal that has random signal properties is generated. A mock correlation coefficient between the mock signal and a measured time series signal from a collection of measured time series signals is then generated. A discrimination value that indicates a weak signal correlation is then selected, based at least in part on the mock correlation coefficient. A first measured signal is then identified from the collection of measured time series signals that has the weak signal correlation by determining that a first correlation coefficient between the first measured signal and a second measured signal is weak based on the discrimination value. The first measured signal is then evicted from the collection of signals in response to the determination that the first measured signal has the weak signal correlation.

公开(公告)号：US20230230613A1

公开(公告)日：2023-07-20

申请号：US17989978

申请日：2022-11-18

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Guy G. MICHAELI ,  Timothy D. CLINE ,  Stephen J. GREEN ,  Serge Le HUITOUZE ,  Matthew T. GERDES ,  Guang Chao WANG ,  Kenny C. GROSS

IPC: G10L25/63 ,  G10L25/03 ,  G10L15/02

CPC classification number: G10L25/63 ,  G10L15/02 ,  G10L25/03

Abstract: Systems, methods, and other embodiments associated with computer distress-call detection and authentication are described. In one embodiment, a method includes detecting a human voice in audio content of a radio signal. Speech is recognized in the human voice to transform the human voice into text and vocal metrics. Feature scores are generated that represent features of the recognized speech based at least in part on the vocal metrics. The human voice is then classified as either a hoax distress call or an authentic distress call based on the feature scores. An alert is then presented indicating that the human voice is one of the hoax distress call or the authentic distress call.

公开(公告)号：US20220284351A1

公开(公告)日：2022-09-08

申请号：US17825189

申请日：2022-05-26

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Kenny C. GROSS ,  Guang C. WANG ,  Matthew T. GERDES

IPC: G06N20/00 ,  H04L41/08 ,  H04L41/16 ,  H04L67/10 ,  H04L41/22 ,  H04L67/12 ,  G06N20/10

Abstract: Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.

公开(公告)号：US20220270189A1

公开(公告)日：2022-08-25

申请号：US17741709

申请日：2022-05-11

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Kenny C. GROSS

IPC: G06Q50/06 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/06 ,  G06Q10/00

Abstract: Systems and methods are described that estimates a remaining useful life (RUL) of an electronic device. Time-series signals gathered from sensors in the electronic device are received. Statistical changes are detected in the set of time-series signals that are deemed as anomalous signal patterns. Anomaly alarms are generated, wherein an anomaly alarm is generated for each of the anomalous signal patterns. An irrelevance filter is applied to the set of anomaly alarms to produce filtered anomaly alarms, wherein the irrelevance filter removes anomaly alarms associated with anomalous signal patterns that are not correlated with previous failures of similar electronic devices. A logistic-regression model is used to compute an RUL-based risk index for the electronic device based on the filtered anomaly alarms. When the risk index exceeds a risk-index threshold, a notification is generated indicating that the electronic device has a limited remaining useful life.

公开(公告)号：US20220196776A1

公开(公告)日：2022-06-23

申请号：US17694304

申请日：2022-03-14

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Andrew LEWIS ,  Michael DAYRINGER ,  Guang C. WANG ,  Kenny C. GROSS

IPC: G01R35/00 ,  G01R29/08

Abstract: Systems, methods, and other embodiments associated with automated calibration in electromagnetic scanners are described. In one embodiment, a method includes: detecting one or more peak frequency bands in electromagnetic signals collected by the electromagnetic scanner at a geographic location; comparing the one or more peak frequency bands to broadcast frequencies assigned to local radio stations of the geographic location; and indicating that the electromagnetic scanner is calibrated by finding at least one match between one peak frequency band of the peak frequency bands and one of the broadcast frequencies. An electromagnetic scanner may be recalibrated based on comparing the one or more peak frequency bands to broadcast frequencies.

公开(公告)号：US20210293916A1

公开(公告)日：2021-09-23

申请号：US16820807

申请日：2020-03-17

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Andrew LEWIS ,  Michael DAYRINGER ,  Guang C. WANG ,  Kenny C. GROSS

IPC: G01R35/00 ,  G01R29/08

Abstract: Systems, methods, and other embodiments associated with automated calibration of electromagnetic interference (EMI) fingerprint scanning instrumentation for utility power system counterfeit detection are described. In one embodiment, a method for detecting a calibration state of an EMI fingerprint scanning device includes: collecting electromagnetic signals with the EMI fingerprint scanning device for a test period of time at a geographic location; identifying one or more peak frequency bands in the collected electromagnetic signals; comparing the one or more peak frequency bands to assigned radio station frequencies at the geographic location to determine if a match is found; and generating a calibration state signal based at least in part on the comparing to indicate whether the EMI fingerprint scanning device is calibrated or not calibrated.