Patents by Inventor Manchun LI

Manchun LI 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: 20250226111
    Abstract: Provided are a health risk monitoring method and apparatus for subsurface soil pollution of impervious surface in urban factories. The method includes the following steps: calculating linkage degree between a target chemical industrial park and the town according to a distance between the target chemical industrial park and each town; and determining a health risk of population affected by the target chemical industrial park by using the linkage degree. The health risk of target population is determined by using the linkage degree, which is helpful for the supervision department to take effective countermeasures in time to ensure public health.
    Type: Application
    Filed: March 25, 2025
    Publication date: July 10, 2025
    Inventors: Penghui Jiang, Yuqing Wang, Manchun Li
  • Publication number: 20240346394
    Abstract: The present invention provides a method and a system for predicting carbon emission from agricultural land, relates to the technical field of carbon emission prediction, comprising: Using the CLUMondo model to predict the agricultural land area of the target area at a future time; Determining methane emissions from paddy fields at a future time based on the area of rice planted in the agricultural land area; Determining the direct and indirect nitrous oxide emissions at a future time based on the nitrogen input to the agricultural land area; Determining methane emissions from animal enteric fermentation, methane emissions from animal manure management, and nitrous oxide emissions from animal manure management based on the number of animals in the agricultural land area.
    Type: Application
    Filed: October 23, 2023
    Publication date: October 17, 2024
    Inventors: Penghui JIANG, Yi HU, Manchun LI, Haiyue FU
  • Patent number: 12033043
    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: Grant
    Filed: July 1, 2022
    Date of Patent: July 9, 2024
    Assignee: NANJING UNIVERSITY
    Inventors: Chen Zhou, Yunyun Xu, Zhenjie Chen, Manchun Li, Xin Zhao, Zhixin Yu, Haoyang Du, Boqing Wen, Zian Wang, Nan Xia
  • 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