公开(公告)号：US11210400B1

公开(公告)日：2021-12-28

申请号：US16915593

申请日：2020-06-29

Applicant: Oracle International Corporation

Inventor： Guang C. Wang ,  Kenny C. Gross

IPC: G06F21/00 ,  G06F21/56 ,  G06F17/14 ,  G06F21/55

Abstract: The disclosed embodiments provide a system that detects unwanted electronic components in a target asset. During operation, the system obtains target electromagnetic interference (EMI) signals by monitoring EMI signals generated by the target asset while the target asset is running a periodic workload. Next, the system generates a target EMI fingerprint from the target EMI signals. The system then applies a compression/dilation technique to time-series signals in the target EMI fingerprint to achieve alignment with corresponding time-series signals in a reference EMI fingerprint to produce a synchronized target EMI fingerprint. Finally, the system compares the synchronized target EMI fingerprint against the reference EMI fingerprint to determine whether the target asset contains any unwanted electronic components.

公开(公告)号：US11132875B1

公开(公告)日：2021-09-28

申请号：US16891938

申请日：2020-06-03

Applicant: Oracle International Corporation

Inventor： Guang C. Wang ,  William A. Wimsatt ,  Andrew J. Lewis ,  Michael H. S. Dayringer ,  Kenny C. Gross

IPC: G07F19/00 ,  G01R31/00

Abstract: A system is provided that detects a card skimmer in a target system, wherein the card skimmer surreptitiously gathers credit/debit card information during operation of the target system. This system first gathers target electromagnetic interference (EMI) signals by monitoring EMI signals generated by the target system through an external scanner with a directional antenna. Next, the system generates a target EMI fingerprint from the target EMI signals. The system then compares the target EMI fingerprint against a reference EMI fingerprint for the target system to determine whether the target system contains a card skimmer.

公开(公告)号：US20210235275A1

公开(公告)日：2021-07-29

申请号：US17230156

申请日：2021-04-14

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Ashin George ,  Guang C. Wang

IPC: H04W12/79 ,  G06F21/75 ,  H04W12/108

Abstract: The disclosed embodiments relate to a system that camouflages EMI fingerprints in EMI emissions from a computing system to enhance system security. During operation, the system monitors the EMI emissions from the computer system during operation of the computer system to produce corresponding EMI signals. Next, the system determines a dynamic amplitude of the EMI emissions based on the EMI signals. If the dynamic amplitude of the EMI emissions drops below a threshold value, the system executes synthetic transactions, which have interarrival times that, when superimposed on a workload of the computer system, cause the computer system to produce randomized EMI emissions.

公开(公告)号：US11012862B2

公开(公告)日：2021-05-18

申请号：US16258544

申请日：2019-01-26

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Ashin George ,  Guang C. Wang

IPC: H04L29/06 ,  G06F21/75 ,  H04W12/79 ,  H04W12/108

Abstract: The disclosed embodiments relate to a system that camouflages electromagnetic interference (EMI) fingerprints in EMI emissions from a computing system to enhance system security. During operation, the system monitors the EMI emissions from the computer system while the computer system is operating to produce corresponding EMI signals. Next, the system performs a Fast Fourier Transform (FFT) operation on the EMI signals. The system then converts an output of the FFT operation into a frequency-domain representation of the EMI signals. Next, the system generates a camouflaging signal based on the frequency-domain representation of the EMI signals. Finally, the system outputs the camouflaging signal through a transmitter to camouflage EMI fingerprints in the EMI emissions from the computer system.

公开(公告)号：US10937114B2

公开(公告)日：2021-03-02

申请号：US16355127

申请日：2019-03-15

Applicant: Oracle International Corporation

Inventor： Benjamin P. Franklin, Jr. ,  Kenny C. Gross ,  Cornell Thomas Eyford, III ,  Bradley R. Williams

IPC: G06Q50/06 ,  G06Q10/06 ,  G06Q30/02

Abstract: During operation, the system receives a set of input signals containing electrical usage data from a set of smart meters, which gather electrical usage data from customers of the utility system. The system uses the set of input signals and a projection technique to produce projected loadshapes, which are associated with electricity usage in the utility system. Next, the system identifies a closest time period in a database containing recent empirically obtained load-related parameters for the utility system, wherein the load-related parameters in the closest time period are closest to a present set of load-related parameters for the utility system. The system then iteratively adjusts the projected loadshapes based on changes indicated by the load-related parameters in the closest time period until a magnitude of adjustments falls below a threshold. Finally, the system predicts electricity demand for the utility system based on the projected loadshapes.

公开(公告)号：US10929776B2

公开(公告)日：2021-02-23

申请号：US16186365

申请日：2018-11-09

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Guang C. Wang ,  Edward R. Wetherbee

IPC: G06N20/00 ,  G06N5/04 ,  G01R31/62

Abstract: During operation, the system obtains time-series sensor signals gathered from sensors in an asset during operation of the asset in an outdoor environment, wherein the time-series sensor signals include temperature signals. Next, the system produces thermally-compensated time-series sensor signals by performing a thermal-compensation operation on the temperature signals to compensate for variations in the temperature signals caused by dynamic variations in an ambient temperature of the outdoor environment. The system then trains a prognostic inferential model for a prognostic pattern-recognition system based on the thermally-compensated time-series sensor signals. During a surveillance mode for the prognostic pattern-recognition system, the system receives recently-generated time-series sensor signals from the asset, and performs a thermal-compensation operation on temperature signals in the recently-generated time-series sensor signals. Finally, the system applies the prognostic inferential model to the thermally-compensated, recently-generated time-series sensor signals to detect incipient anomalies that arise during operation of the asset.

公开(公告)号：US10862302B1

公开(公告)日：2020-12-08

申请号：US16458498

申请日：2019-07-01

Applicant: Oracle International Corporation

Inventor： Cornell Thomas Eyford, III ,  Kenny C. Gross ,  Guang C. Wang

IPC: H02J3/06 ,  G06Q30/02 ,  G06Q10/06 ,  G06Q50/06 ,  H02J3/00

Abstract: The system receives a set of load signals from an archive that contains historic load information gathered at various locations throughout an electrical grid, which distributes electrical power for the utility system. Next, the system applies a first difference function to the set of load signals to produce a set of difference signals. The system then performs a spike-detection operation on the set of difference signals to identify pairs of positive-negative and negative-positive spikes, which identify gaps in the set of load signals associated with periods of network disruption. Next, the system modifies the set of load signals by filling in each identified gap with projected load values determined by performing a localized loadshape forecasting operation based on the continuous load values immediately preceding the identified gap. Finally, the system forecasts electricity demand for the utility system based on the modified set of load signals.

公开(公告)号：US20200310396A1

公开(公告)日：2020-10-01

申请号：US16371694

申请日：2019-04-01

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Guang C. Wang

IPC: G05B19/418 ,  G05B23/02 ,  G06F17/50

Abstract: During operation, the system receives time-series signals from sensors in the asset while the asset is operating. Next, the system obtains real-time environmental parameters for an environment in which the asset is operating. The system then selects an environment-specific inferential model for the asset based on the real-time environmental parameters, wherein the environment-specific inferential model was trained on a golden system while the golden system was operating in an environment that matches the real-time environmental parameters. Next, the system uses the environment-specific inferential model to generate estimated values for the received time-series signals based on correlations among the received time-series signals, and performs a pairwise-differencing operation between actual values and the estimated values for the received time-series signals to produce residuals. Finally, the system determines from the residuals whether the asset is operating correctly.

公开(公告)号：US20200241520A1

公开(公告)日：2020-07-30

申请号：US16260082

申请日：2019-01-28

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Anton A. Bougaev ,  Aleksey M. Urmanov ,  David K. McElfresh

IPC: G05B23/02 ,  G06F11/30 ,  G06F1/3215 ,  H05K7/20

Abstract: The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.

公开(公告)号：US20200172411A1

公开(公告)日：2020-06-04

申请号：US16787453

申请日：2020-02-11

Applicant: Oracle International Corporation

Inventor： Kenny C. Gross ,  Sanjeev Sondur

IPC: C02F1/16 ,  C02F1/26 ,  C02F1/04 ,  H05K7/20

Abstract: The disclosed embodiments relate to a system that performs low-temperature desalination. During operation, the system feeds cold saline water through a liquid-cooling system in a computer data center, wherein the cold saline water is used as a coolant, thereby causing the cold saline water to become heated saline water. Next, the system feeds the heated saline water into a vacuum evaporator comprising a water column having a headspace, which is under a negative pressure due to gravity pulling on the heated saline water in the water column. This negative pressure facilitates evaporation of the heated saline water to form water vapor. Finally, the system directs the water vapor through a condenser, which condenses the water vapor to produce desalinated water.