Patents by Inventor Jiafeng Guo

Jiafeng Guo 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: 20230406388
    Abstract: Embodiments of an electric power-assisted wheeled child carrier are provided herein. The electric power-assisted wheeled child carrier, such as a stroller for example, includes an electric drive mechanism for electrically powering rotation of at least one wheel of the child carrier. The electric power mechanism includes a motor, an output shaft coupled to the motor that is configured to rotate the output shaft, a wheel shaft coupled to the wheel being powered; and a clutch positioned between the output shaft and the wheel shaft. The clutch is configured to move axially between an engaged state and a disengaged state. In the engaged state, the output shaft powered by the motor drives rotation of the wheel, and in the disengaged state, the wheel is configured to rotate without power from the motor.
    Type: Application
    Filed: June 19, 2023
    Publication date: December 21, 2023
    Inventors: FENG LIU, JIAFENG GUO, JINLONG LIAN
  • Publication number: 20230062565
    Abstract: An intelligent dispatching method and system for rail transit. The method includes: collecting original data of a preset range from a plurality of data sources; acquiring passenger flow data of a rail transit station according to the original data; building a passenger flow prediction model of the rail transit station according to the passenger flow data of the rail transit station; acquiring a passenger flow volume of the rail transit station in a preset period according to the passenger flow prediction model; and performing coordinated dispatching on vehicles and passengers of the rail transit station according to the passenger flow volume of the preset period. The original data is acquired through the plurality of data sources, thus acquiring the passenger flow data, which achieves all-round monitoring of a passenger flow at the rail transit station.
    Type: Application
    Filed: September 24, 2021
    Publication date: March 2, 2023
    Inventors: Enhua HU, Li LIN, Jiafu PEI, Bingjian ZHANG, Dongming FAN, Jiafeng GUO, Shuanglei YANG
  • Publication number: 20220317673
    Abstract: The present invention relates to a system for coordinating operation control and operation maintenance for an urban rail transit and a method using the same, where the system includes: an intelligent operation maintenance subsystem and an intelligent operation control subsystem, the intelligent operation maintenance subsystem and the intelligent operation control subsystem include coordination linkage engine modules respectively, and the intelligent operation maintenance subsystem synchronizes, by using the coordination linkage engine modules, a fault handling plan to the intelligent operation control subsystem. Compared with the prior art, the present invention has the advantages of scientific and reasonable dispatching decision-making, high efficiency and high intelligence.
    Type: Application
    Filed: October 19, 2020
    Publication date: October 6, 2022
    Inventors: Jiafu PEI, Enhua HU, Li LIN, Bingfeng ZHANG, Xiangping ZHU, Ning ZHENG, Shuanglei YANG, Jiafeng GUO
  • Patent number: 9009134
    Abstract: Named Entity Recognition in Query (NERQ) involves detection of a named entity in a given query and classification of the named entity into one or more predefined classes. The predefined classes may be based on a predefined taxonomy. A probabilistic approach may be taken to detecting and classifying named entities in queries, the approach using either query log data or click through data and Weakly Supervised Latent Dirichlet Allocation (WS-LDA) to construct and train a topic model.
    Type: Grant
    Filed: March 16, 2010
    Date of Patent: April 14, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Gu Xu, Hang Li, Jiafeng Guo
  • Publication number: 20110231347
    Abstract: Named Entity Recognition in Query (NERQ) involves detection of a named entity in a given query and classification of the named entity into one or more predefined classes. The predefined classes may be based on a predefined taxonomy. A probabilistic approach may be taken to detecting and classifying named entities in queries, the approach using either query log data or click through data and Weakly Supervised Latent Dirichlet Allocation (WS-LDA) to construct and train a topic model.
    Type: Application
    Filed: March 16, 2010
    Publication date: September 22, 2011
    Applicant: Microsoft Corporation
    Inventors: Gu Xu, Hang Li, Jiafeng Guo