Patents by Inventor Xuetao Zhang

Xuetao Zhang 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: 11989655
    Abstract: Embodiments of the present application provide a prediction method, device and system for rock mass instability stages, and belong to the technical field of rock mass instability prediction. The method includes the steps: acquiring acoustic emission signals of rock mass; extracting feature parameters from the acquired acoustic emission signals; and predicting instability stages of the rock mass in accordance with the feature parameters and a preset back propagation (BP) neural network model, wherein the preset BP neural network model is obtained by training a BP neural network and a genetic algorithm by virtue of the feature parameters of the acoustic emission signals at different rock mass instability stages. According to the technical solution in the present application, the problem in the training process of the BP neural network model that model parameter optimization may be easily trapped in a locally optimal solution is effectively solved.
    Type: Grant
    Filed: October 26, 2020
    Date of Patent: May 21, 2024
    Assignee: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Xiaoyan Luo, Hui Yu, Tao Deng, Junxi Liu, Xuetao Zhang
  • Publication number: 20220129757
    Abstract: Embodiments of the present application provide a prediction method, device and system for rock mass instability stages, and belong to the technical field of rock mass instability prediction. The method includes the steps: acquiring acoustic emission signals of rock mass; extracting feature parameters from the acquired acoustic emission signals; and predicting instability stages of the rock mass in accordance with the feature parameters and a preset back propagation (BP) neural network model, wherein the preset BP neural network model is obtained by training a BP neural network and a genetic algorithm by virtue of the feature parameters of the acoustic emission signals at different rock mass instability stages. According to the technical solution in the present application, the problem in the training process of the BP neural network model that model parameter optimization may be easily trapped in a locally optimal solution is effectively solved.
    Type: Application
    Filed: October 26, 2020
    Publication date: April 28, 2022
    Inventors: Xiaoyan LUO, Hui YU, Tao DENG, Junxi LIU, Xuetao ZHANG
  • Publication number: 20070077289
    Abstract: This invention relates to a cream containing interferon encapsulated with liposome, which comprises IFN liposome and cream substrate. The advantage of the cream of the present invention is high efficiency of encapsulation, stable production technique, good homogeneity of products, stable efficacy and low rate of leakage. In order to improve the capability of encapsulation of liposome and the activity and efficacy of IFN, IFN liposome and substrate are utilized to prepare a form of cream which cures those skin disease infected by virus, such as herpes zoster, herpetic stomatitis, verruca, condyloma acuminata, mollusoum contagiosum, herpes genitalis, verrca planae, verruca vulgaris, genital ulcer, oral ulcer and pruritus.
    Type: Application
    Filed: July 13, 2004
    Publication date: April 5, 2007
    Applicant: SHENZHEN NEPTUNUS INTERLONG BIO-TECHNIQUE HOLDINGS
    Inventors: Yan Wang, Xiangdong Chai, Yunfu Li, Baoke Dong, Xuetao Zhang