Patents by Inventor Yuankun FU

Yuankun FU 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: 20240156195
    Abstract: The present application provides a comfortable lightweight bullet-proof and stab-resistant suit and a preparation method thereof. A first aspect of the present application provides a comfortable lightweight bullet-proof and stab-resistant suit, including a sheath and a protection core sheet disposed in the sheath, and the protection core sheet includes a first protection layer, a second protection layer, a third protection layer and a buffer layer which are sequentially stacked together. The bullet-proof and stab-resistant suit provided in the present application has better response protection characteristics in the process of bullet penetration or knife tip stab, and the prepared aramid unidirectional cloth has low areal density, apparent flatness, no bubbles, and excellent softness, so that any bending within 180° can be realized.
    Type: Application
    Filed: April 25, 2023
    Publication date: May 16, 2024
    Inventors: Xinling FANG, Yuankun LIU, Dongmei XU, Qingsong AI, Hongxin LI, Hong CHEN, Zhaoyang LIU, Zhiyong PAN, Zhongwei WU, Zongjia LI, Nianhua LI, Liandong JIANG, Ruiling WANG, Long HU, Liqiang FU, Bing ZHANG, Junhong DAI, Fangning XUE
  • Patent number: 11875488
    Abstract: A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: January 16, 2024
    Assignee: HENAN UNIVERSITY OF TECHNOLOGY
    Inventors: Liang Zhao, Chuan Zhou, Xiaoxia Feng, Jingjing Li, Yuanyuan Liu, Ranran Si, Zhifeng Xie, Yuankun Fu, Junwei Jin, Kunpeng Zhang, Lei Zhang, Shimeng Shi, Tianci Wang, Dongjiang Liu, Meng Li, Zhiyuan Shi
  • Publication number: 20220012859
    Abstract: A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.
    Type: Application
    Filed: April 13, 2021
    Publication date: January 13, 2022
    Inventors: Liang ZHAO, Chuan ZHOU, Xiaoxia FENG, Jingjing LI, Yuanyuan LIU, Ranran SI, Zhifeng XIE, Yuankun FU, Junwei JIN, Kunpeng ZHANG, Lei ZHANG, Shimeng SHI, Tianci WANG, Dongjiang LIU, Meng LI, Zhiyuan SHI