Patents Examined by Raymond L Nimox
  • Patent number: 11392850
    Abstract: The disclosed embodiments relate to a system that facilitates development of machine-learning techniques to perform prognostic-surveillance operations on time-series data from a monitored system, such as a power plant and associated power-distribution system. During operation, the system receives original time-series signals comprising sequences of observations obtained from sensors in the monitored system. Next, the system decomposes the original time-series signals into deterministic and stochastic components. The system then uses the deterministic and stochastic components to produce synthetic time-series signals, which are statistically indistinguishable from the original time-series signals. Finally, the system enables a developer to use the synthetic time-series signals to develop machine-learning (ML) techniques to perform prognostic-surveillance operations on subsequently received time-series signals from the monitored system.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: July 19, 2022
    Assignee: Oracle International Corporation
    Inventors: Kenny C. Gross, Mengying Li, Alan Paul Wood, Steven T. Jeffreys, Avishkar Misra, Lawrence L. Fumagalli, Jr.
  • Patent number: 11385622
    Abstract: Systems and method for data collection in an industrial environment can include interpreting a plurality of sensor data values, each sensor operatively coupled to at least one of a plurality of components in the industrial environmental. In response to at least a portion of the plurality of sensor data values, determining a recognized pattern value and providing a system characterization value for the industrial system in response to the recognized pattern value.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: July 12, 2022
    Assignee: Strong Force IoT Portfolio 2016, LLC
    Inventors: Charles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
  • Patent number: 11385292
    Abstract: A method, apparatus, system for batter material screening is disclosed. First, microstructure generation parameters for a plurality of microstructures are received, where the microstructure generation parameters include microstructure characteristics. Microstructure statistics are generated using a first artificial intelligence (“AI”) model, where the received microstructure generation parameters are inputs for the first AI model. Microstructure properties are predicted using a second AI model for the microstructures based on the generated microstructure statistics, the received microstructure generation parameters, and battery cell characteristics. It is determined whether at least one of the microstructures is within a predefined energy profile range based on the predicted microstructure properties.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: July 12, 2022
    Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
    Inventors: Melanie Senn, Gianina Alina Negoita, Nasim Souly, Vedran Glavas, Julian Wegener, Prateek Agrawal
  • Patent number: 11382360
    Abstract: Provided is an aerosol generating device having a function of estimating battery life, the aerosol generating device including a heater configured to generate an aerosol by heating an aerosol generating substance; a battery configured to supply power to the heater; a counter configured to count the number of usage times the aerosol generating device is used by a user; and a controller configured to control power supplied to the heater, wherein the controller estimates a remaining life of the battery based on at least two from among an initial output voltage of the battery, an output voltage of the battery dropped as the aerosol generating device is used for a counted number of usage times, and the counted number of usage times.
    Type: Grant
    Filed: March 16, 2020
    Date of Patent: July 12, 2022
    Assignee: KT&G CORPORATION
    Inventor: Jae Min Lee
  • Patent number: 11385623
    Abstract: System and methods for data collection, processing, and utilization of signals in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values from a plurality of input sensors communicatively coupled to the data acquisition circuit, a peak detection circuit to determine at least one peak value in response to the plurality of detection values, a peak response circuit to select at least one detection value in response to the at least one peak value, a communication circuit to communicate the at least one selected detection value to a remote server, and a monitoring application on the remote server to receive the at least one selected detection value, jointly analyze received detection values and recommend an action in response are disclosed herein.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: July 12, 2022
    Assignee: Strong Force IoT Portfolio 2016, LLC
    Inventors: Charles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
  • Patent number: 11385135
    Abstract: A vehicle test device is to test performance of a vehicle or a part of the vehicle by rotating a wheel placed on a rotating body in order to reproduce an actually running state of the vehicle by controlling rotational speed of the wheel so as to make the rotational speed equal to a target value accurately, and a rotation related value that indicates rotational speed of the wheel or torque applied to the wheel is obtained, and the rotational speed of the rotating body or the torque applied to the rotating body is controlled so as to make the rotation related value equal to a predetermined target value.
    Type: Grant
    Filed: February 22, 2016
    Date of Patent: July 12, 2022
    Assignee: HORIBA, LTD.
    Inventors: Mineyuki Komada, Kazuhiro Shiomi
  • Patent number: 11372123
    Abstract: Provided is a method for determining convergence in full wavefield inversion (FWI) of 4D seismic (time-lapse seismic: 3D seismic surveys acquired at different times with the first survey termed as the baseline and subsequent surveys termed as monitors). FWI applied to field seismic data includes iteratively solving for subsurface property models and model difference between monitor and baseline. Iteration occurs until the model difference is sufficiently converged. Rather than determining convergence by examining an entire subsurface region of the models and/or the model difference, subparts of the subsurface region models and/or the model difference are examined in order to determine convergence. For example, different regions behave differently, include the target reservoir region (where hydrocarbon is present) and the background region that is outside the target reservoir region.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: June 28, 2022
    Assignee: ExxonMobil Upstream Research Company
    Inventors: Ganglin Chen, Musa Maharramov, David H. Johnston, Partha Routh
  • Patent number: 11365623
    Abstract: A system includes a data interface that receives data associated with a plurality of wells; an inference engine that receives and analyzes at least a portion of the data to generate results; and a communication engine that outputs information based at least in part on the results.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: June 21, 2022
    Assignee: Schlumberger Technology Corporation
    Inventors: Geoffrey Peter Short, James Curtis Brannigan
  • Patent number: 11360155
    Abstract: A computing system, method, and apparatus for determining a state of health indication for a battery are provided. A first supervised deep neural network (“DNN”) is trained using received characteristics for the battery as input and received process parameters as outputs. An unsupervised AI estimator is trained using one or more clustering methods based on extracted features from the first supervised DNN, where the received characteristics are input to the unsupervised AI estimator. A second supervised DNN is trained using identified clusters from the unsupervised AI estimator. The identified clusters are validated with state of health indications. User battery data is inputted to the second supervised DNN to determine the state of health for the battery.
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: June 14, 2022
    Assignees: VOLKSWAGEN AKTIENGESELLSCHAFT, AUDI AG, DR. ING. H.C. F. PORSCHE AKTIENGESELLSCHAFT
    Inventors: Melanie Senn, Joerg Christian Wolf, Lorenz Haghenbeck Emde
  • Patent number: 11353851
    Abstract: Systems and methods for monitoring data collection in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values from a plurality of input sensors communicatively coupled to the data acquisition circuit, each of the plurality of detection values corresponding to at least one of the plurality of input sensors, a peak detection circuit structured to determine at least one peak value in response to the plurality of detection values and a peak response circuit structured to perform at least one operation in response to the at least one peak value are disclosed.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: June 7, 2022
    Assignee: Strong Force IoT Portfolio 2016, LLC
    Inventors: Charles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
  • Patent number: 11340307
    Abstract: A battery deterioration judging system includes a memory, and a processor coupled to the memory. The processor is configured to acquire a state amount of a battery, derive a first deterioration probability of the battery, based on the state amount of the battery and a predetermined first calculation model, derive a reliability degree of a second calculation model, which is different than the first calculation model, based on a number of state amounts, derive a second deterioration probability of the battery, based on the state amount of the battery and the second calculation model, and judge deterioration of the battery based on the reliability degree, and at least one of the first deterioration probability or the second deterioration probability.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: May 24, 2022
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventor: Nobuyasu Haga
  • Patent number: 11331045
    Abstract: The disclosed systems and methods are generally directed to interpreting neuromuscular signals. The system includes (A) a plurality of neuromuscular sensors that detect a plurality of neuromuscular signals from a user and (B) at least one multiplexer in communication with the plurality of neuromuscular sensors and that is capable of dynamically adjusting neuromuscular sensor processing based on neuromuscular signal characteristics. A computer processor is programmed to (i) receive a set of neuromuscular signals from the plurality of neuromuscular sensors, (ii) determine, via a real-time system, at least one signal characteristic included in a neuromuscular signal, where the neuromuscular signal is associated with a first neuromuscular sensor included in the plurality of neuromuscular sensors; and (iii) dynamically reconfigure the processing of neuromuscular signals from the plurality of neuromuscular sensors based on an output from the multiplexer.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: May 17, 2022
    Assignee: Facebook Technologies, LLC
    Inventors: Anthony D. Moschella, Daniel Wetmore, Patrick Kaifosh, Adam Al-natsheh, Tudor Giurgica-Tiron, Qiushi Mao
  • Patent number: 11327192
    Abstract: A method can include receiving data acquired via survey equipment disposed in an environment; analyzing at least a portion of the data via an iterative adaptive approach that implements matching pursuit to generate analysis results; and identifying at least one feature in the environment based at least in part on a portion of the analysis results.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: May 10, 2022
    Assignee: Schlumberger Technology Corporation
    Inventors: Yousif Izzeldin Kamil Amin, Ali Ozbek
  • Patent number: 11320469
    Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: May 3, 2022
    Assignee: C3.AI, INC.
    Inventors: Thomas M. Siebel, Edward Y. Abbo, Houman Behzadi, John Coker, Scott Kurinskas, Thomas Rothwein, David Tchankotadze
  • Patent number: 11320811
    Abstract: A plant operating condition setting support system for supporting the setting of a plant operating condition includes: a learning device that learns a regression model for calculating, from values of a plurality of state parameters indicating an operating condition of a plant and values of a plurality of manipulation parameters set to control an operation of the plant, a predicted value of an output indicating a result of operating the plant when the values of the plurality of manipulation parameters are set in the operating condition indicated by the values of the plurality of state parameters; and an operating condition setting support device that calculates the values of the plurality of manipulation parameters that should be set to control the operation of the plant, by using the regression model learned by the learning device.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: May 3, 2022
    Assignee: CHIYODA CORPORATION
    Inventors: Yoshihiro Yamaguchi, Takehito Yasui, Toshiya Momose
  • Patent number: 11320550
    Abstract: The invention notably relates to a computer-implemented method for processing a 4D seismic signal relative to a subsoil, the subsoil including a zone subject to extraction and/or injection, the method comprising: providing the 4D seismic signal; identifying a part of the 4D seismic signal corresponding to a zone of the subsoil distinct from the zone subject to extraction and/or injection; determining a noise model of the 4D seismic signal based on the identified part of the 4D seismic signal; and processing the 4D seismic signal based on the noise model. This improves the field of 4D seismic data processing.
    Type: Grant
    Filed: September 18, 2017
    Date of Patent: May 3, 2022
    Assignee: TOTAL SE
    Inventors: Christian Hubans, Natalia Shchukina
  • Patent number: 11321581
    Abstract: Physical-device anomalies and degradation can be mitigated by implementing some aspects described herein. For example, a system can determine a first data window and a second data window by applying a window function to streaming data. The system can determine a first principal eigenvector of the first data window and a first principal eigenvector of the second data window. The system can determine an angle change between the first principal eigenvectors of the two data windows. The system can then detect an anomaly based on determining that the angle change exceeds a predefined angle-change threshold. Additionally or alternatively, the system may compare the first principal eigenvector for the second data window to a baseline value to determine an absolute angle associated with the second data window. The system can then detect a degradation based on determining that the absolute angle exceeds a predefined absolute-angle threshold.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: May 3, 2022
    Assignee: SAS INSTITUTE INC.
    Inventors: Kyungduck Cha, Carol Wagih Sadek, Zohreh Asgharzadeh Talebi
  • Patent number: 11312213
    Abstract: The disclosed computer-implemented method may include receiving sensor data associated with a mobile device associated with a vehicle, wherein the sensor data includes at least one of an angular velocity vector, a linear acceleration vector, and a rotational acceleration vector recorded over a period of time, determining an event signature based on the sensor data, and detecting a door closing event associated with the vehicle based at least in part on the event signature. Other methods, systems, and computer-readable media are disclosed.
    Type: Grant
    Filed: December 12, 2019
    Date of Patent: April 26, 2022
    Assignee: Lyft, Inc.
    Inventors: Michael Jonathan DiCarlo, Romain Clement, Mikael Kjell Anders Thor
  • Patent number: 11314240
    Abstract: A system is disclosed comprising: a plurality of electronic measuring devices adapted to provide measurement data of a set of physical quantities; wherein the measurement data from each measuring device are characterized by at least one respective measuring characteristic; a data processing arrangement, configured to calculate at least two measurements for each physical quantity based on said measurement data; and further configured to select a best measurement for each physical quantity based on said measuring characteristics.
    Type: Grant
    Filed: April 19, 2018
    Date of Patent: April 26, 2022
    Assignee: ABB Schweiz AG
    Inventors: Lorenzo Bianchi, Francesca Mazziotti
  • Patent number: 11307319
    Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access a plurality of seismic images of a subterranean formation in a first geological area. The instructions are also executable to generate a plurality of fault estimates from each of the plurality of seismic images. Further, the instructions are executable to generate a processed seismic image of the first geological area by normalizing and merging the plurality of seismic images and the plurality of fault estimates. Additionally, the instructions are executable to generate a statistical fault uncertainty volume of the first geological area using the processed seismic image. Furthermore, the instructions are executable to control a drilling operation in the first geological area using the statistical fault uncertainty volume of the first geological area.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: April 19, 2022
    Assignee: Landmark Graphics Corporation
    Inventors: Andreas Rueger, Steven Roy Angelovich