Patents Examined by Ricky Go
  • Patent number: 12254960
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing health-related predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform health-related predictive data analysis by generating an optimal predictor set for a gene regulatory network using a quantum logic circuit that comprises one or more quantum logic subcircuits for each quantum processing unit that is associated with a quantum subcircuit and is configured to perform a conjunctive phase logic operation performed on each ancilla bit of a quantum subcircuit.
    Type: Grant
    Filed: December 20, 2021
    Date of Patent: March 18, 2025
    Assignee: Optum Services (Ireland) Limited
    Inventors: Ninad D. Sathaye, Paul J. Godden, Vicente Ruben Del Pino Ruiz, Matthew R. Versaggi
  • Patent number: 12253410
    Abstract: A method of improving performance of an averager is provided. The method includes steps of: (a) multiplying a value of a (n?1)th piece of output data by a value “N” to calculate a temporary value; (b) determining whether or not a difference between an nth piece of input data and the (n?1)th piece of output data is larger than or smaller than a zero value, if yes, compensating the temporary value to obtain a correction value and performing step (c), if no, setting the correction value and performing step (c); (c) dividing the correction value by the value “N” to obtain a first value; (d) subtracting the first value from the correction value and adding up the correction value and the nth piece of input data to obtain a second value; and (e) dividing the second value by the value “N” to calculate an output value of the averager.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: March 18, 2025
    Assignee: ANPEC ELECTRONICS CORPORATION
    Inventor: Jia-Hua Hong
  • Patent number: 12253642
    Abstract: A method includes receiving a seismic survey that includes a plurality of seismic slices. The method also includes converting the seismic slices into an embedding. The embedding includes one or more vectors. Each of the vectors includes more than 3 dimensions. The method also includes generating a plot based at least partially upon the embedding.
    Type: Grant
    Filed: April 10, 2023
    Date of Patent: March 18, 2025
    Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
    Inventors: Sunil Manikani, Haibin Di, Leigh Truelove, Cen Li
  • Patent number: 12250503
    Abstract: There is provided a method and a system configured to obtain metrology data Dmetrology informative of a plurality of structural parameters of a semiconductor specimen, obtain a model informative of a relationship between at least some of said structural parameters and one or more electrical properties of the specimen, use the model and Dmetrology to determine, for at least one given electrical property of the specimen, one or more given structural parameters among the plurality of structural parameters, which affect the given electrical property according to an impact criterion, and generate a recipe for an examination tool, wherein the recipe enables a ratio between a first acquisition rate of data informative of the one or more given structural parameters, and a second acquisition rate of data informative of other structural parameters of the plurality of structural parameters, to meet a criterion.
    Type: Grant
    Filed: December 24, 2020
    Date of Patent: March 11, 2025
    Assignee: Applied Materials Israel Ltd.
    Inventor: Ofer Adan
  • Patent number: 12248296
    Abstract: A system includes sensors for monitoring signals, and a processing system executes one or more methods for identification of system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.
    Type: Grant
    Filed: December 15, 2023
    Date of Patent: March 11, 2025
    Assignee: Fluid Power AI, LLC
    Inventors: Jose Maria Guadalupe Gomez, Francis Mitchell Toglia, Mario Gomez Narvaez
  • Patent number: 12248028
    Abstract: A method for predicting a lifespan of a battery cell of the present invention includes: virtually dividing a capacity of a battery cell, which is a measurement object for lifespan prediction, into two or more capacity parts, and measuring charge and discharge cycle data for each of the capacity parts; correcting the charge and discharge cycle data by reflecting storage degeneration a positive electrode active material; and predicting a lifespan of the battery cell, based on the corrected charge and discharge cycle data.
    Type: Grant
    Filed: August 17, 2021
    Date of Patent: March 11, 2025
    Assignee: LG ENERGY SOLUTION, LTD.
    Inventors: Su Han Park, Sung Hoon Bae, Dae Sik Chung, Young Hwan Lee
  • Patent number: 12241938
    Abstract: The invention relates to a method for estimating the state of an energy store comprising at least one electrochemical battery cell (12, 14, 16, 18, 20, 22, 24, 26, 28) using a battery management system (BMS) which comprises an impedance spectroscopy chip, having at least the following steps: a) determining the frequency-dependent impedance of the at least one electrochemical battery cell (12, 14, 16, 18, 20, 22, 24, 26, 28) using a data set recording taken in real-time, b) training an artificial neural network (60) with temperature-based training spectra as the input and a specification for temperature values belonging to each training spectrum as the output, c) taking into consideration a battery cell-to-battery cell variance (30) between the electrochemical battery cells (12, 14, 16, 18, 20, 22, 24, 26, 28) when testing the artificial neural network (60) using weighting functions ascertained during step b) and test spectra and estimating the temperature values belonging to the test spectra according to the
    Type: Grant
    Filed: November 24, 2020
    Date of Patent: March 4, 2025
    Assignee: Robert Bosch GmbH
    Inventors: Christoph Kroener, Felix Kleinheinz, Marco Stroebel, Peter Birke
  • Patent number: 12235634
    Abstract: Examples described herein relate to a system and method for managing the security of an edge enclosure. The edge enclosure is deployed in a mobile environment and travels between a base location and a task location to perform a task. The task is defined and configured at a chassis manager by a management device. A server in the edge enclosure processes data associated with the task. The chassis manager detects a loss of communication between the chassis manager and the management device. The chassis manager performs a security action based on task status. The task status is either ongoing or completed. The security action performed at the edge enclosure protects the data present in the server from tampering. The management device transmits alerts to the customers of the edge enclosure after the task is completed.
    Type: Grant
    Filed: September 15, 2021
    Date of Patent: February 25, 2025
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Bharath Ramesh, Justin York
  • Patent number: 12222400
    Abstract: A state value for a rechargeable battery, for example a lithium-ion battery, is determined on the basis of several aging characteristic variables. The aging characteristic variables comprise at least one current aging value and one future aging value.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: February 11, 2025
    Assignee: TWAICE Technologies GmbH
    Inventor: Michael Baumann
  • Patent number: 12210063
    Abstract: The present disclosure provides a battery watchdog system for monitoring and managing batteries during short or extended storage and transit while ensuring low drain on a client battery being monitored. The battery watchdog system periodically powers the battery management system (BMS) of the client battery to retrieve battery information. The battery watchdog system can also collect battery information from other sensors (e.g., motion, ambient temperature, humidity, current, voltage, data integrity, and global positioning). The system can integrate data from the client battery and its own sensors to exploit algorithms and assess the battery's state, ambient conditions, potential hazards, and adherence to specific storage or transportation conditions. Further, the battery watchdog system can come equipped with onboard visual and audible indicators. And, in case of hazardous conditions, the system can autonomously activate its indicators to alert personnel.
    Type: Grant
    Filed: October 13, 2023
    Date of Patent: January 28, 2025
    Assignee: ATCDT Corp.
    Inventors: Jason Treharne, Greg Heald
  • Patent number: 12196905
    Abstract: Techniques are disclosed relating to machine learning in the context of noise filters for sensor data, e.g., as produced by geophysical surveys. In some embodiments, one or more filters are applied to sensor data, such a harsh filter determined to cause a threshold level of distortion in measured reflections, a mild filter determined to leave a threshold level of remaining noise signals, or an acceptable filter. In some embodiments, the system trains a machine learning classifier based on outputs of the filtering procedures and uses the classifier to determine whether other filtered sensor data from the same survey exhibits acceptable filtering. This may improve accuracy or performance in detecting unacceptable filtering, in some embodiments.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: January 14, 2025
    Assignee: PGS Geophysical AS
    Inventor: Maiza Bekara
  • Patent number: 12196076
    Abstract: Disclosed is a grouting and water blocking method for a hard rock stratum. The grouting and water blocking method include the following steps. At first, hydrogeological information and coal seam information of a hard rock stratum is obtained. Then, a drilling trajectory of the hard rock stratum is determined based on the hydrogeological information and the coal seam information. Later, at least one drilling device is determined corresponding to the drilling trajectory based on types of multiple rock layers contained in the hard rock stratum. After that, the multiple rock layers contained in the hard rock stratum are drilled sequentially according to the drilling trajectory using the at least one drilling device. At last, in response to determining there is a water leakage area, the water leakage area is grouted.
    Type: Grant
    Filed: June 21, 2024
    Date of Patent: January 14, 2025
    Assignee: CHINA UNIVERSITY OF MINING AND TECHNOLOGY, BEIJING
    Inventors: Yifan Zeng, Weihong Yang, Qiang Wu, Xinjiang Wei, Xuejun Wang, Kai Pang, Xuan Xiao, Xue Liu
  • Patent number: 12196078
    Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes measuring a collection of salinity values representative of a depth within a saline aquifer and a salinity measurement value representative of salinity at the depth, determining, based on the collection of salinity values, a distribution of salinity across a plurality of depths within the saline aquifer, identifying, based on the distribution of salinity, a salinity gradient between a shallow region within the saline aquifer and a deep region within the saline aquifer, where the shallow region has salinity measurement values that are lower than salinity measurement values representative of the deep region, and determining, based on the identified salinity gradient, a sealing competency of the saline aquifer.
    Type: Grant
    Filed: January 31, 2024
    Date of Patent: January 14, 2025
    Assignee: Saudi Arabian Oil Company
    Inventors: Sylvester Egbeni, Ahmed Al Ghamdi, Ibrahim M. Hanbal, Fahad R. Khateeb, Sara A. Jazzar
  • Patent number: 12188986
    Abstract: An apparatus which diagnoses a battery by detecting an abnormal voltage drop phenomenon of a battery cell includes a voltage measuring circuit, a current measuring circuit, a voltage estimating circuit, and a control circuit. The voltage measuring circuit measures a voltage across both terminals of a battery cell. The current measuring circuit measures the current flowing through either terminal of a battery cell. The voltage estimating circuit, based on current and a status estimation model, calculates an estimated voltage level. The diagnostic circuit calculates a voltage level difference between a voltage level measured by the voltage measuring circuit and an estimated voltage level, and, based on the voltage level difference and a reference value, determines whether or not an error has occurred in the battery cell. The control circuit includes a control circuit which, according to an estimation accuracy of the estimated voltage level, adjusts a reference value.
    Type: Grant
    Filed: April 26, 2021
    Date of Patent: January 7, 2025
    Assignee: LG Energy Solution, Ltd.
    Inventor: Young Jin Kim
  • Patent number: 12182750
    Abstract: A method and a computer program for discovering possible errors in a production process for manufacturing metal products. The method involves removing at least one process parameter value from the cluster or adding at least one process parameter to the cluster. Second Z-score values, which are compared with the first Z-score values, are then determined for the thus-altered cluster. The changes in the Z-score values provide suggestions for troubleshooting and process optimization which are direct and can be implemented immediately.
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: December 31, 2024
    Assignee: SMS group GmbH
    Inventors: Katja Windt, Marc Hütt
  • Patent number: 12182224
    Abstract: An online fast processing method for real-time data based on edge computing. In the method, a dynamic online de-noising method is adopted to remove noise contained in speeds to ensure the effectiveness and accuracy of de-noising results; for the displacement integrated online, an efficient method is adopted for dynamic online de-noising to further reduce the effectiveness of drift in the displacement value on final integration results; and under the condition of ensuring the accuracy of an integration method, an integration algorithm is embedded into an edge device to realize fast calculation and analysis of data near a data source and realize dynamic fast integration of online signals based on the edge device, which provides effective references for efficient processing and calculation of data.
    Type: Grant
    Filed: May 5, 2022
    Date of Patent: December 31, 2024
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Xueguan Song, Liangliang Yang, Xiaonan Lai, Xiwang He, Kunpeng Li, Yong Pang, Wei Sun, Peng Li
  • Patent number: 12174110
    Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.
    Type: Grant
    Filed: January 9, 2023
    Date of Patent: December 24, 2024
    Assignee: VIAVI Solutions Inc.
    Inventors: Lan Sun, Changmeng Hsiung
  • Patent number: 12175435
    Abstract: Disclosed is a method for predicting demand for maintenance materials of a smart gas pipeline network. The method comprises: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; determining sub-demand for the maintenance materials of each point position based on the fault probability of each point position of the one or more point positions, the sub-demand being obtained based on historical maintenance data of the gas pipeline network; determining the demand for the maintenance materials based on the sub-demand of each point position of the gas pipeline network; and transmitting the demand for the maintenance materials to the smart gas user platform based on the smart gas service platform.
    Type: Grant
    Filed: March 6, 2024
    Date of Patent: December 24, 2024
    Assignee: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
    Inventors: Zehua Shao, Yong Li, Junyan Zhou
  • Patent number: 12173598
    Abstract: The present invention is in the field of geological exploration and particularly relates to a method and system for gamma ray (GR) while drilling parameter data optimization for deep-filed oil and gas precise navigation, aiming to solve the problem of insufficient measurement accuracy of the depth of a well in the existing drilling technology. The present invention comprises: eliminating outliers from the obtained GR while drilling parameter data and determining the rationality of the eliminated outlier; performing derivation on a real-time updated variance attribute while drilling curve to obtain a real-time updated formation change-point detection result; searching the formation change-point detection result of a pre-drilling predicted well curve; and correcting the drilling depth by comparing the two formation change-point detection results to obtain the accurate depth while drilling.
    Type: Grant
    Filed: January 18, 2024
    Date of Patent: December 24, 2024
    Assignee: Institute of Geology and Geophysics, Chinese Academy of Sciences
    Inventors: Fei Tian, Qingyun Di, Wenhao Zheng, Yongyou Yang, Wenjing Cao
  • Patent number: 12165749
    Abstract: In one embodiment, a method includes receiving identities of features of a first composition, and receiving a value of a property of the first composition. A learning model is trained using values of predefined characteristics of the features of the first composition, and the value of the property of the first composition. The learning model is then provided identities of second features of a second composition. Using the learning model, a value of a property of the second composition is determined and displayed.
    Type: Grant
    Filed: August 15, 2023
    Date of Patent: December 10, 2024
    Assignee: Colgate-Palmolive Company
    Inventors: Iraklis Pappas, Bartosz Luczynski, Donghui Wu, Dong Hyun Kim