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公开(公告)号：US20230366724A1
公开(公告)日：2023-11-16
申请号：US18223079
申请日：2023-07-18
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Yixiu LIU , Matthew T. GERDES , Guang C. WANG , Kenny C. GROSS , Hariharan BALASUBRAMANIAN
Abstract: Systems, methods, and other embodiments associated with autonomous discrimination of operation vibration signals are described herein. In one embodiment, a method includes automatically choosing a plurality of vibration frequencies that vary in correlation with variation of a load on a monitored device. Vibration amplitudes for the plurality of vibration frequencies are monitored for incipient failure using a machine learning model. The machine learning model is trained to expect the vibration amplitudes to be consistent with undegraded operation of the monitored device. The incipient failure is detected where vibration amplitudes are not consistent with undegraded operation of the monitored device. An alert is then transmitted to suggest maintenance to prevent the incipient failure of the monitored device.
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公开(公告)号：US20230358598A1
公开(公告)日：2023-11-09
申请号：US18103774
申请日：2023-01-31
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Matthew T. GERDES , Guang C. WANG , Timothy D. CLINE , Kenny C. GROSS
IPC: G01H3/08 , H04R1/40 , H04R3/00 , G06F3/0484
CPC classification number: G01H3/08 , H04R1/406 , H04R3/005 , G06F3/0484 , G06F3/0482
Abstract: Systems, methods, and other embodiments associated with acoustic detection of disguised vehicles are described. In one embodiment of a method for acoustic detection of disguised vehicles, a first acoustic output of a target vehicle that appears to be of a first type is recorded. A second acoustic output of a reference vehicle that is known to be of the first type is retrieved. It is acoustically detected that the target vehicle is not of the first type based at least on an acoustic dissimilarity between the first acoustic output and the second acoustic output. An electronic alert is then generated that the target vehicle is of a second type that is disguised as the first type based on the acoustic dissimilarity.
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公开(公告)号：US20210270884A1
公开(公告)日：2021-09-02
申请号：US16804531
申请日：2020-02-28
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Edward R. WETHERBEE , Rui ZHONG , Kenny C. GROSS , Guang C. WANG
Abstract: Detecting a counterfeit status of a target utility device by: selecting a set of frequencies that best reflect load dynamics or other information content of a reference utility device while undergoing a power test sequence; obtaining target electromagnetic interference (EMI) signals emitted by the target utility 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 utility device undergoing the power test sequence to determine whether the target utility device and the reference utility 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.
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4.发明申请公开(公告)号：US20210247442A1
公开(公告)日：2021-08-12
申请号：US16784506
申请日：2020-02-07
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Edward R. WETHERBEE , Guang C. WANG , Kenny C. GROSS , Michael DAYRINGER , Andrew LEWIS , Matthew T. GERDES
IPC: G01R31/28 , G06F21/55 , G01R31/302 , G06K9/62
Abstract: Detecting whether a target utility device that includes multiple electronic components is genuine or suspected counterfeit by: performing a test sequence of energizing and de-energizing the target device and collecting electromagnetic interference (EMI) signals emitted by the target device; generating a target EMI fingerprint from the EMI signals collected; retrieving a plurality of reference EMI fingerprints from a database library, each of which corresponds to a different configuration of electronic components of a genuine device of the same make and model as the target device; iteratively comparing the target EMI fingerprint to the retrieved reference EMI fingerprints and generating a similarity metric between each compared set; and indicating that the target device (i) is genuine where the similarity metric for any individual reference EMI fingerprint satisfies a threshold test, and is a suspect counterfeit device where no similarity metric for any individual reference EMI fingerprint satisfies the test.
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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
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.
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Patent Agency Ranking
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
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.
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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
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.
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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.
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公开(公告)号：US20230358597A1
公开(公告)日：2023-11-09
申请号：US18098277
申请日：2023-01-18
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Matthew T. GERDES , Guang C. WANG , Timothy D. CLINE , Kenny C. GROSS
Abstract: Systems, methods, and other embodiments associated with acoustic detection of changes in mass of cargo carried by a vehicle are described herein. In one example method for acoustic cargo surveillance, a first acoustic output of a vehicle carrying cargo at a first time of surveillance of the vehicle is recorded. Then, a second acoustic output of the vehicle at a subsequent time in the surveillance of the vehicle carrying the cargo is recorded. A change in a mass of the cargo carried by the vehicle is acoustically detected based at least on an acoustic change between the first acoustic output and the second acoustic output. An electronic alert is generated that the mass of the cargo has changed based on the acoustic change.
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公开(公告)号：US20230113706A1
公开(公告)日：2023-04-13
申请号：US17495880
申请日：2021-10-07
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： James ROHRKEMPER , Yifan WU , Guang C. WANG , Kenny C. GROSS
IPC: G01V3/10
Abstract: Embodiments for passive spychip detection through polarizability and advanced pattern recognition are described. For example a method includes inducing a magnetic field in a passive component of a target system while the target system is emitting EMI with changes in amplitude repeating at a time interval; generating a time series of measurements of a combined magnetic field strength of the induced magnetic field and the EMI; executing a frequency-domain to time-domain transformation on the time series of measurements to create time series signals of combined magnetic field strength over time at a specific frequency range; monitoring the time series signals with an ML model trained to predict correct signal values to determine whether predicted and measured values of the time series agree; and indicating that the target device may contain a passive spychip where anomalies are detected, and is free of passive spychips where no anomalies are detected.
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