Patents by Inventor Yingying Zheng

Yingying Zheng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200348659
    Abstract: Methods and systems for building and maintaining model(s) of a physical process are disclosed. One method includes receiving training data associated with a plurality of different data sources, and performing a clustering process to form one or more clusters. For each of the one or more clusters, the method includes building a data model based on the training data associated with the data sources in the cluster, automatically performing a data cleansing process on operational data based on the data model, and automatically updating the data model based on updated training data that is received as operational data. For data sources excluded from the clusters, automatic building, data cleansing, and updating of models can also be applied.
    Type: Application
    Filed: May 1, 2020
    Publication date: November 5, 2020
    Applicants: Chevron U.S.A. Inc., University of Southern California
    Inventors: Yining DONG, Alisha DESHPANDE, Yingying ZHENG, Lisa Ann BRENSKELLE, Si-Zhao QIN
  • Patent number: 10316303
    Abstract: A lactone hydrolase having improved activity towards ?-zearalenol is disclosed. The lactone hydrolase has a modified amino acid sequence of SEQ ID NO: 5, wherein the modification is a substitution of valine at position 167 with histidine. A method of degrading ?-zearalenol using such lactone hydrolase is also disclosed.
    Type: Grant
    Filed: December 1, 2016
    Date of Patent: June 11, 2019
    Assignee: TIANJIN INSTITUTE OF INDUSTRIAL BIOTECHNOLOGY, CHINESE ACADEMY OF SCIENCES
    Inventors: Rey-Ting Guo, Yingying Zheng, Zhongxia Xu, Chun-Chi Chen, Wei Peng, Weidong Liu, Je-Ruei Liu, Yanhe Ma
  • Patent number: 9964967
    Abstract: A method for monitoring a control of a parameter of one or more devices or systems in an oil or gas production site includes receiving process data, the process data being a result of the control of the parameter of the one or more devices or systems in the production site; smoothing the process data using a polynomial filter while preserving features of the process data to obtain smoothed data; and applying a pattern recognition algorithm to the smoothed data to determine whether there is a malfunction condition in the one or more devices or systems.
    Type: Grant
    Filed: February 22, 2013
    Date of Patent: May 8, 2018
    Assignees: CHEVRON U.S.A. INC., UNIVERSITY OF SOUTHERN CALIFORNIA
    Inventors: Yingying Zheng, Si-Zhao Qin, Michael Barham
  • Publication number: 20170191046
    Abstract: A lactone hydrolase having improved activity towards ?-zearalenol is disclosed. The lactone hydrolase has a modified amino acid sequence of SEQ ID NO: 5, wherein the modification is a substitution of valine at position 167 with histidine. A method of degrading ?-zearalenol using such lactone hydrolase is also disclosed.
    Type: Application
    Filed: December 1, 2016
    Publication date: July 6, 2017
    Inventors: Rey-Ting Guo, Yingying Zheng, Zhongxia Xu, Chun-Chi Chen, Wei Peng, Weidong Liu, Je-Ruei Liu, Yanhe Ma
  • Publication number: 20160179599
    Abstract: A computer-implemented method for reconstructing data includes receiving a selection of one or more input data streams at a data processing framework. The method can include determining existence of a fault in the input data stream(s). This determination can be based on receiving a definition of one or more analytics components at the data processing framework and applying a dynamic principal component analysis (DPCA) to the input data streams. Detection of the fault can be based at least in part on a prediction error and a variation in principal component subspace generated based on the DPCA. Detection of the fault can also be based on performing a wavelet transform to generate a set of coefficients defining the data stream, the set of coefficients including one or more coefficients representing a high frequency portion of data included in the data stream. The method can include reconstructing data at the fault.
    Type: Application
    Filed: November 10, 2015
    Publication date: June 23, 2016
    Applicants: University of Southern California, Chevron U.S.A. Inc.
    Inventors: Alisha Deshpande, Yining Dong, Gang Li, Yingying Zheng, Si-Zhao Qin, Lisa Ann Brenskelle
  • Publication number: 20140108359
    Abstract: Methods and systems for reconstructing data are disclosed. One method includes receiving a selection of one or more input data streams at a data processing framework, and receiving a definition of one or more analytics components at the data processing framework. The method further includes applying a dynamic principal component analysis to the one or more input data streams, and detecting a fault in the one or more input data streams based at least in part on a prediction error and a variation in principal component subspace generated based on the dynamic principal component analysis. The method also includes reconstructing data at the fault within the one or more input data streams based on data collected prior to occurrence of the fault.
    Type: Application
    Filed: February 28, 2013
    Publication date: April 17, 2014
    Inventors: Farnoush Banaei-Kashani, Yingying Zheng, Si-Zhao Qin, Mohammad Asghari, Mahdi Rahmani Mofrad, Cyrus Shahabi, Lisa A. Brenskelle
  • Patent number: D941841
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: January 25, 2022
    Assignee: Beijing Dajia Internet Information Technology Co., Ltd.
    Inventor: Yingying Zheng