Patents by Inventor Shaoze GAO

Shaoze GAO 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).

  • Patent number: 11645354
    Abstract: The present invention discloses a determination method for a preferred habitat of fish and a terminal device, wherein the method comprises: acquiring parameter information of a water environment in which target fish is located, and establishing a 3D water environment model by utilizing the parameter information of the water environment; determining an ecological function of the target fish and constructing a bio-simulation model on the 3D water environment model by combining the ecological function; acquiring a movement locus of the target fish in the bio-simulation model and determining potential habitats of the target fish according to the movement locus; and determining the preferred habitat of the target fish from the potential habitats by utilizing a preference learning model based on a density accumulation method.
    Type: Grant
    Filed: May 20, 2022
    Date of Patent: May 9, 2023
    Assignee: XI'AN UNIVERSITY OF TECHNOLOGY
    Inventors: Quan Quan, Shaoze Gao, Simin Yang, Rong Fan
  • Publication number: 20230102365
    Abstract: The present invention discloses a determination method for a preferred habitat of fish and a terminal device, wherein the method comprises: acquiring parameter information of a water environment in which target fish is located, and establishing a 3D water environment model by utilizing the parameter information of the water environment; determining an ecological function of the target fish and constructing a bio-simulation model on the 3D water environment model by combining the ecological function; acquiring a movement locus of the target fish in the bio-simulation model and determining potential habitats of the target fish according to the movement locus; and determining the preferred habitat of the target fish from the potential habitats by utilizing a preference learning model based on a density accumulation method.
    Type: Application
    Filed: May 20, 2022
    Publication date: March 30, 2023
    Applicant: XI'AN UNIVERSITY OF TECHNOLOGY
    Inventors: Quan QUAN, Shaoze GAO, Simin YANG, Rong FAN