公开(公告)号：US20240303754A1

公开(公告)日：2024-09-12

申请号：US18666387

申请日：2024-05-16

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Kenny C. GROSS

IPC: G06Q50/06 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/0635 ,  G06Q10/20

CPC classification number: G06Q50/06 ,  G06F17/18 ,  G06N5/04 ,  G06Q10/0635 ,  G06Q10/20

Abstract: Systems and methods are described that estimate 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 notification may be generated indicating that the electronic device has a limited remaining useful life based on at least the anomalous signal patterns associated with the filtered anomaly alarms.

公开(公告)号：US20240281043A1

公开(公告)日：2024-08-22

申请号：US18654133

申请日：2024-05-03

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： James ROHRKEMPER ,  Sanjeev R. SONDUR ,  Kenny C. GROSS ,  Guang C. WANG

IPC: G06F1/20 ,  H05K7/20

CPC classification number: G06F1/206 ,  H05K7/20136 ,  H05K7/20718 ,  H05K7/20836

Abstract: Systems, methods, and other embodiments associated with detecting feedback control instability in computer thermal controls are described herein. In one embodiment, a method includes executing a workload on the computing system, wherein the workload varies between a minimum and a maximum at a workload frequency. The method includes recording thermal telemetry from the computing system during execution of the workload. The method includes converting the recorded thermal telemetry into a frequency domain. The method includes detecting whether thermal control of the computing system exhibits feedback control instability based on dissimilarity in the frequency domain between the transformed thermal telemetry and the workload frequency. And, the method includes generating an electronic alert that indicates whether the thermal control of the computing device exhibits the feedback control instability.

公开(公告)号：US20240256959A1

公开(公告)日：2024-08-01

申请号：US18226522

申请日：2023-07-26

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Keyang RU ,  Kenneth P. BACLAWSKI ,  Richard P. SONDEREGGER ,  Dieter GAWLICK ,  Anna CHYSTIAKOVA ,  Guang Chao WANG ,  Matthew T. GERDES ,  Kenny C. GROSS

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Systems, methods, and other embodiments associated with detecting unfairness in machine learning outcomes are described. In one embodiment, a method includes generating outcomes for transactions with a machine learning tool to be tested for bias. Then, actual values for a test subset of the outcomes that is associated with a test value for a demographic classification are compared with estimated values for the test subset of outcomes. The estimated values are generated by a machine learning model that is trained with a reference subset of the outcomes that are associated with a reference value for the demographic classification. The method then detects whether the machine learning tool is biased or unbiased based on dissimilarity between the actual values and the estimated values for the test subset of the outcomes. The method then generates an electronic alert that the ML tool is biased or unbiased.

公开(公告)号：US20230135691A1

公开(公告)日：2023-05-04

申请号：US17516975

申请日：2021-11-02

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： James ROHRKEMPER ,  Sanjeev R. SONDUR ,  Kenny C. GROSS ,  Guang C. WANG

IPC: G06F1/20 ,  H05K7/20

Abstract: Systems, methods, and other embodiments associated with detecting feedback control instability in computer thermal controls are described herein. In one embodiment, a method includes for a set of dwell time intervals, wherein the dwell time intervals are associated with a range of periods of time from an initial period to a base period, executing a workload that varies from minimum to maximum over the period on a computer during the dwell time interval; recording telemetry data from the computer during execution of the workload; incrementing the period towards a base period; determining that either the base period is reached or a thermal inertia threshold is reached; and analyzing the recorded telemetry data over the set of dwell time intervals to either (i) detect presence of a feedback control instability in thermal control for the computer; or (ii) confirm feedback control stability in thermal control for the computer.

公开(公告)号：US20220326292A1

公开(公告)日：2022-10-13

申请号：US17672928

申请日：2022-02-16

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Rui ZHONG ,  Kenny C. GROSS ,  Guang C. WANG

IPC: G01R31/00 ,  G01R29/08 ,  G06F21/44

Abstract: Detecting a counterfeit status of a target device by: selecting a set of frequencies that best reflect load dynamics or other information content of a reference device while undergoing a power test sequence; obtaining target electromagnetic interference (EMI) signals emitted by the target device while undergoing the same power test sequence; creating a sequence of target kiviat plots from the amplitude of the target EMI signals at each of the set of frequencies at observations over the power test sequence to form a target kiviat tube EMI fingerprint; comparing the target kiviat tube EMI fingerprint to a reference kiviat tube EMI fingerprint for the reference device undergoing the power test sequence to determine whether the target device and the reference device are of the same type; and generating a signal to indicate a counterfeit status based at least in part on the results of the comparison.

公开(公告)号：US20210174248A1

公开(公告)日：2021-06-10

申请号：US16732558

申请日：2020-01-02

Applicant: ORACLE INTERNATIONAL CORPORATION

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

IPC: G06N20/00 ,  G06N5/04 ,  H04L12/24 ,  H04L29/08 ,  G06F3/0482

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：US20240265308A1

公开(公告)日：2024-08-08

申请号：US18615599

申请日：2024-03-25

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Edward R. WETHERBEE ,  Kenneth P. BACLAWSKI ,  Guang C. WANG ,  Kenny C. GROSS ,  Anna MORAV ,  Dieter GAWLICK ,  Zhen Hua LIU ,  Richard Paul SONDEREGGER

IPC: G06N20/00 ,  G05B23/02 ,  G06F17/16 ,  G06F17/18 ,  G06F30/27 ,  G06F111/10 ,  G06N3/08 ,  G06N20/10

CPC classification number: G06N20/00 ,  G05B23/024 ,  G06F17/16 ,  G06F17/18 ,  G06F30/27 ,  G06F2111/10 ,  G06N3/08 ,  G06N20/10

Abstract: Systems, methods, and other embodiments associated with auditing the results of a machine learning model are described. In one embodiment, a method accesses original time series data and machine learning estimates of the original time series data. The method generates reconstituted time series data from the machine learning estimates by reversing operations of a machine learning model trained for generating the machine learning estimates from the original time series data. The method detects tampering (or corruption) in the original time series data based on a difference between the original time series data and reconstituted time series data. And, the method generates an electronic verification report that indicates whether the tampering (or corruption) is detected in the original time series data.

公开(公告)号：US20240230733A1

公开(公告)日：2024-07-11

申请号：US18094509

申请日：2023-01-09

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Keyang RU ,  Ruixian LIU ,  Kenny C. GROSS ,  Guang Chao WANG

IPC: G01R21/133 ,  G01R23/16

CPC classification number: G01R21/133 ,  G01R23/16

Abstract: Systems, methods, and other embodiments associated with frequency-domain resampling of time series are described. An example method includes generating a power spectrum for a first time series signal that is sampled inconsistently with a target sampling rate. Prominent frequencies are selected from the power spectrum. Sets of first phase factors that map the prominent frequencies to a frequency domain at first time points are generated. Coefficients are identified that relate the sets of first phase factors to values of the first time series signal at the first time points. Sets of second phase factors that map the prominent frequencies to a frequency domain at second time points are generated. A second time series signal that is resampled at the target sampling rate is generated by generating new values at the second time points from the coefficients and sets of second phase factors.

公开(公告)号：US20240206766A1

公开(公告)日：2024-06-27

申请号：US18085974

申请日：2022-12-21

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Zejin DING ,  Matthew T. GERDES ,  Guang Chao WANG ,  Kenny C. GROSS ,  Andrew VAKHUTINSKY

IPC: A61B5/11 ,  A61B5/00

CPC classification number: A61B5/112 ,  A61B5/1126 ,  A61B5/7203 ,  A61B5/746 ,  A61B2562/0219 ,  G01P15/18

Abstract: Systems, methods, and other embodiments associated with detecting impairment using a vibration fingerprint that characterizes gait dynamics are described. An example method includes receiving measurements of a gait of a being from a sensor. The measurements of the gait are converted into a time series of observations for each frequency bin in a set of frequency bins. A time series of residuals is generated for each range of the set by pointwise subtraction between the time series of observations and a time series of references for each range of the set. An impairment metric is generated based on the time series of residuals. The impairment metric is compared to a threshold for the impairment. In response to the impairment metric satisfying the threshold, the being is indicated to be impaired.

公开(公告)号：US20240061139A1

公开(公告)日：2024-02-22

申请号：US18385116

申请日：2023-10-30

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： James ROHRKEMPER ,  Yifan WU ,  Guang C. WANG ,  Kenny C. GROSS

IPC: G01V3/10

CPC classification number: G01V3/10

Abstract: Systems, methods, and other embodiments for passive component (e.g., spychip) detection through polarizability and advanced pattern recognition are described. In one embodiment a method includes applying an electromagnetic field to a target electronic system while the target electronic system is emitting a test pattern of electromagnetic interference. The method takes measurements of combined electromagnetic field strength emitted by the target electronic system while the electromagnetic field is being applied. The method detects the passive component based on dissimilarity between the measurements and estimates of electromagnetic field strength for the test pattern for a golden electronic system. The golden electronic system is of similar construction to the target electronic system and does not include the passive component. The method generates an electronic alert that the passive component is present in the target electronic system.