Patents by Inventor Jianzhen LUO

Jianzhen LUO 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).

  • SEMANTIC ANALYSIS METHOD FOR INDUSTRIAL CONTROL PROTOCOL BASED ON INDUSTRIAL SIDE-INFORMATION
    Publication number: 20230324890
    Abstract: A semantic analysis method includes gathering patterned side-information in an industrial process and identifying frequency patterns of semantic channels; identifying a set of relevant packets of the semantic channels and deducing locations of the packets where semantics are located; and performing modeling on behavior semantics in the industrial process based on field semantics of the packets and extracting association rules among the semantic channels.
    Type: Application
    Filed: May 13, 2022
    Publication date: October 12, 2023
    Inventors: Jun CAI, Weijian ZHONG, Jianzhen LUO
  • Method and apparatus for differentially optimizing quality of service QoS
    Patent number: 11616702
    Abstract: A method and apparatus for differentially optimizing a quality of service (QoS) includes: establishing a system model of a multi-task unloading framework; acquiring a mode for users executing a computation task, executing, according to the mode for users executing the computation task, the system model of the multi-task unloading framework; and optimizing a quality of service (QoS) on the basis of a multi-objective optimization method for a multi-agent deep reinforcement learning.
    Type: Grant
    Filed: April 26, 2022
    Date of Patent: March 28, 2023
    Assignee: GUANGDONG POLYTECHNIC NORMAL UNIVERSITY
    Inventors: Jun Cai, Hongtian Fu, Yan Liu, Jianzhen Luo, Liping Liao
  • METHOD AND APPARATUS FOR DIFFERENTIALLY OPTIMIZING QUALITY OF SERVICE QoS
    Publication number: 20220400062
    Abstract: A method and apparatus for differentially optimizing a quality of service (QoS) includes: establishing a system model of a multi-task unloading framework; acquiring a mode for users executing a computation task, executing, according to the mode for users executing the computation task, the system model of the multi-task unloading framework; and optimizing a quality of service (QoS) on the basis of a multi-objective optimization method for a multi-agent deep reinforcement learning.
    Type: Application
    Filed: April 26, 2022
    Publication date: December 15, 2022
    Inventors: Jun CAI, Hongtian FU, Yan LIU, Jianzhen LUO, Liping LIAO