Patents by Inventor Xiuwen Liu

Xiuwen Liu 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: 20230027359
    Abstract: Systems, methods, and computer-readable media are disclosed for contactless power converter aging detection. An example method may include receiving, from a microphone, first acoustic data associated with a power converter. The example method may also include converting the first acoustic data into second acoustic data, wherein the first acoustic data is time domain data and the second acoustic data is frequency domain data. The example method may also include determining, by a machine learning model and based on the second acoustic data, a remaining useful life value associated with the power converter.
    Type: Application
    Filed: July 20, 2022
    Publication date: January 26, 2023
    Applicant: THE FLORIDA STATE UNIVERSITY RESEARCH FOUNDATION, INC.
    Inventors: Yanjun Shi, Xiuwen Liu
  • Publication number: 20210027860
    Abstract: Methods of predicting or designing a protein. The methods may include providing a protein that includes a target residue; centering a gridded box on a selected atom of the target residue; collecting local structural information adjacent the selected atom and the target residue; and determining the target residue of the protein based on the local structural information. The methods may include providing a nine-layer three-dimensional deep convolutional neural network (CNN) configured to accept as input data a gridded box comprising atomic coordinates and types adjacent a target residue; and analyzing the gridded box centered on the target residue with the three-dimensional deep convolutional neural network to determine the target residue.
    Type: Application
    Filed: July 23, 2020
    Publication date: January 28, 2021
    Inventors: Jinfeng Zhang, Yuan Zhang, Wei Wu, Xiuwen Liu
  • Patent number: 10787512
    Abstract: The invention provides monoclonal antibodies and fragments thereof that specifically bind to melatonin. Also provided are heavy chain variable region (VH) and light chain variable region (VL) sequences of such monoclonal antibodies and fragments thereof. Further provided are melatonin conjugates, and methods and uses, for example, determining, detecting, measuring, screening for, analyzing and monitoring an amount of melatonin in a sample.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: September 29, 2020
    Assignee: SALIMETRICS, LLC
    Inventors: Jon Eric Peterson, Daming Li, Xiuwen Liu, Meng-Yun Sandy Chou, Howard Paul Sard
  • Publication number: 20160053009
    Abstract: The invention provides monoclonal antibodies and fragments thereof that specifically bind to melatonin. Also provided are heavy chain variable region (VH) and light chain variable region (VL) sequences of such monoclonal antibodies and fragments thereof. Further provided are melatonin conjugates, and methods and uses, for example, determining, detecting, measuring, screening for, analyzing and monitoring an amount of melatonin in a sample.
    Type: Application
    Filed: March 14, 2014
    Publication date: February 25, 2016
    Inventors: Jon Eric PETERSON, Daming LI, Xiuwen LIU, Meng-Yun Sandy CHOU, Howard Paul SARD
  • Publication number: 20070041638
    Abstract: Systems and methods are provided for the real-time object recognition of target objects, which includes the identification of target objects within images. In particular, images are received from an imaging device and analyzed by a workstation. The workstation applies one or more filters to the received images to generate one or more filtered images. One or more windows (e.g., sub-regions, sub-rectangles, etc.) of the filtered images are then analyzed in order to obtain histogram features. The workstation obtains a representation of these histogram features, which may be a simplified version or reduced dimension of the histogram features. The workstation then applies classifiers to the representation of the histogram features to recognize any objects in the received images.
    Type: Application
    Filed: April 28, 2006
    Publication date: February 22, 2007
    Inventors: Xiuwen Liu, Washington Mio