Patents by Inventor Zhenjie CHEN

Zhenjie CHEN 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: 20240067240
    Abstract: The invention relates to a CTC3.0-based locomotive decoupling and coupling plan automatic generation and execution method. According to the method, by upgrading a track occupancy display terminal and a data platform in a CTC3.0 system, automatic generation of a locomotive decoupling or coupling plan is triggered when the route display terminal receives a train plan, so as to complete a locomotive decoupling or coupling task. The method has the advantages of high automation degree and high transportation efficiency.
    Type: Application
    Filed: November 4, 2021
    Publication date: February 29, 2024
    Applicant: CASCO SIGNAL LTD.
    Inventors: Xuan CHEN, Huarong LI, Jiannian WANG, Yingtao LU, Zhenjie CHEN, Dejun CHEN, Zheng YOU, Yangjie ZHAO
  • Publication number: 20240013091
    Abstract: An identification method of urban functional areas based on mixing degree of functions and integrated learning includes the following steps: 1) performing data acquisition and preprocessing; 2) constructing 10 indicator features of an urban functional area identification system; 3) structuring the indicator features: acquiring, by a spatial statistical tool, the 10 indicator features corresponding to each parcel; 4) constructing an independent variable dataset; 5) labeling response variables; 6) dividing a training dataset into a plurality of training subsets according to the mixing degree of functions; 7) training a Stacking-based integrated learning model; and 8) joining an attribute in one table to another table, so as to complete the identification of the urban functional areas on each parcel. The identification method divides the training dataset by grading the mixing degree of functions, and makes predictions based on the prediction dataset with corresponding mixing degree of functions.
    Type: Application
    Filed: July 1, 2022
    Publication date: January 11, 2024
    Applicant: NANJING UNIVERSITY
    Inventors: Chen ZHOU, Yunyun XU, Zhenjie CHEN, Manchun LI, Xin ZHAO, Zhixin YU, Haoyang DU, Boqing WEN, Zian WANG, Nan XIA