Patents by Inventor Zhenbo Li

Zhenbo 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).

  • Patent number: 12100325
    Abstract: The present invention discloses a display panel and a display device. The display panel includes a gate driver circuit and a plurality of driving wires. By disposing gate driver circuits with different distribution density in non-bending frame regions and adjusting corresponding driving wires wired from an output end of the gate driver circuit to a bending displaying region, normal driving of the bending displaying region can be achieved and simultaneously damages to the gate driver circuit during folding can be mitigated or obviated.
    Type: Grant
    Filed: February 25, 2021
    Date of Patent: September 24, 2024
    Assignee: Wuhan China Star Optoelectronics Semiconductor Display Technology Co., Ltd.
    Inventors: Ningning Zhou, Yanan Wang, Zengjian Jin, Rui Ju, Jihui Li, Qiaoya Zhang, Zhenbo Song, Tengfei Ge
  • Patent number: 12039733
    Abstract: A method for identifying an individual of an oplegnathus punctatus based on a convolutional neural network is provided. Target initial positioning involves three continuous convolutional layers and an average pooling layer. A region of feature interest point is obtained, a hyperparameter candidate box is set to obtain a region, thereby obtaining an approximate position of a target object. II_Net backbone convolutional neural network includes six convolutional layers and four pooling layers, which includes a LeakyReLU activation function used as an activation function of the first convolutional layer, convolutional network layers of Alexnet and parameter data, and a maximum pooling layer of an overlapped pooling structure. Fully connected layers use a genetic algorithm to improve data transmission between layers. With the established model, identification of the individual of the oplegnathus punctatus is performed by using test data.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: July 16, 2024
    Assignee: Ludong University
    Inventors: Jun Yue, Beibei Li, Shixiang Jia, Zhenbo Li, Qing Wang, Zheng Ma, Guangjie Kou, Tao Yao, Zhenzhong Li
  • Patent number: 11790640
    Abstract: Disclosed is a method for detecting densely occluded fish based on a YOLOv5 network, belonging to the technical field of fish images. The method includes a data set establishment and processing part, a model training part and a model testing part; the data set establishment and processing part includes data collection of fish pictures, data labelling and data division of the fish pictures; and the data division is to divide data into a training set, a verification set and a test set.
    Type: Grant
    Filed: March 15, 2023
    Date of Patent: October 17, 2023
    Assignee: Ludong University
    Inventors: Jun Yue, Cheng Dong, Zhenbo Li, Jun Zhang, Guangjie Kou, Shixiang Jia, Ning Li, Hao Sun
  • Patent number: 11694428
    Abstract: Disclosed is a method for detecting Ophiocephalus argus cantor under intra-class occulusion based on cross-scale layered feature fusion, including image collecting, image processing and network model, where collected images are labeled, image sizes are adjusted to obtain input images, and the input images are input into an object detection network, integrated by convolution and inserted into cross-scale layered feature fusion modules, characterized by including dividing all features input into the cross-scale layered feature fusion modules into n layers, composed of s feature mapping subsets, and fusing features of each feature mapping subset with that of other feature mapping subsets, and connecting; carrying out convolution operation, outputting training result; adjusting network parameters by a loss function to obtain parameters for a network model; inputting final output candidate boxes into a non-maximum suppression module to screen correct prediction boxes, so that prediction result is obtained.
    Type: Grant
    Filed: March 15, 2023
    Date of Patent: July 4, 2023
    Assignee: Ludong University
    Inventors: Jun Yue, Yifei Zhang, Qing Wang, Zhenbo Li, Guangjie Kou, Jun Zhang, Shixiang Jia, Ning Li
  • Publication number: 20210383149
    Abstract: A method for identifying an individual of an oplegnathus punctatus based on a convolutional neural network is provided. Target initial positioning involves three continuous convolutional layers and an average pooling layer. A region of feature interest point is obtained, a hyperparameter candidate box is set to obtain a region, thereby obtaining an approximate position of a target object. II_Net backbone convolutional neural network includes six convolutional layers and four pooling layers, which includes a LeakyReLU activation function used as an activation function of the first convolutional layer, convolutional network layers of Alexnet and parameter data, and a maximum pooling layer of an overlapped pooling structure. Fully connected layers use a genetic algorithm to improve data transmission between layers. With the established model, identification of the individual of the oplegnathus punctatus is performed by using test data.
    Type: Application
    Filed: June 8, 2021
    Publication date: December 9, 2021
    Inventors: Jun Yue, Beibei Li, Shixiang Jia, Zhenbo Li, Qing Wang, Zheng Ma, Guangjie Kou, Tao Yao, Zhenzhong Li
  • Patent number: D978070
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: February 14, 2023
    Inventors: Zhenbo Li, Shan Yan, Yanlin Zhao, Zhi Li
  • Patent number: D981330
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: March 21, 2023
    Inventors: Zhenbo Li, Shan Yan, Yanlin Zhao, Zhi Li
  • Patent number: D983728
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: April 18, 2023
    Inventors: Yanlin Zhao, Zhenbo Li, Shan Yan, Zhi Li
  • Patent number: D983729
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: April 18, 2023
    Inventors: Zhenbo Li, Yanlin Zhao, Shan Yan, Zhi Li
  • Patent number: D988239
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: June 6, 2023
    Inventors: Zhenbo Li, Shan Yan, Yanlin Zhao, Zhi Li
  • Patent number: D988243
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: June 6, 2023
    Inventors: Shan Yan, Zhenbo Li, Yanlin Zhao, Zhi Li
  • Patent number: D995408
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: August 15, 2023
    Inventors: Yanlin Zhao, Zhenbo Li, Shan Yan
  • Patent number: D995412
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: August 15, 2023
    Inventors: Yanlin Zhao, Zhenbo Li, Shan Yan
  • Patent number: D995413
    Type: Grant
    Filed: May 16, 2022
    Date of Patent: August 15, 2023
    Inventors: Zhenbo Li, Shan Yan, Yanlin Zhao
  • Patent number: D1003811
    Type: Grant
    Filed: May 16, 2022
    Date of Patent: November 7, 2023
    Inventors: Yanlin Zhao, Zhenbo Li, Shan Yan
  • Patent number: D1004537
    Type: Grant
    Filed: May 16, 2022
    Date of Patent: November 14, 2023
    Inventors: Shan Yan, Yanlin Zhao, Zhenbo Li