Patents by Inventor YAFEI SONG

YAFEI SONG 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: 20210037812
    Abstract: A DSC (Differential Scanning calorimetry) electrode system capable of applying an electric field includes a differential scanning calorimeter, a computer, a signal generator, a self-pressurization liquid nitrogen tank and a reference crucible, wherein the self-pressurization liquid nitrogen tank is connected to the differential scanning calorimeter and used for controlling temperature in real time; the differential scanning calorimeter is connected to the computer and used for transmitting signals and recording experiment results. The DSC electrode system also includes a microelectrode crucible that includes a ceramic crucible, a ceramic crucible cover, welding spots, two electrodes and electrode wires, wherein the two electrodes are respectively fixed in the ceramic crucible; a gap is reserved between the electrodes and used for storing a tested sample; the welding spots are reserved at upper ends of the electrodes.
    Type: Application
    Filed: August 10, 2020
    Publication date: February 11, 2021
    Inventors: Lisheng Zhong, Xiaoyuan Song, Jinghui Gao, Qinxue Yu, Lin Liu, Jiaxi He, Yafei Li
  • Publication number: 20200406295
    Abstract: The present disclosure provides an aluminum alloy coating, an aluminum alloy wheel hub and a spraying method of an aluminum alloy wheel hub. The aluminum alloy coating includes a base powder layer, a main body layer and a transparent powder layer from inside to outside. The main body layer includes at least two prime coat layers and at least two colored paint layers which are superposed in a preset order.
    Type: Application
    Filed: August 27, 2019
    Publication date: December 31, 2020
    Inventors: Peng Han, Qingwang Wei, Yafei Song, Yongfeng Shu, Jian Zhang, Kun Gu, Yu Liu, Jian Li
  • Patent number: 10740897
    Abstract: Embodiments of the present invention provide a method and a device for three-dimensional feature-embedded image object component-level semantic segmentation, the method includes: acquiring three-dimensional feature information of a target two-dimensional image; performing a component-level semantic segmentation on the target two-dimensional image according to the three-dimensional feature information of the target two-dimensional image and two-dimensional feature information of the target two-dimensional image. In the technical solution of the present application, not only the two-dimensional feature information of the image but also the three-dimensional feature information of the image are taken into consideration when performing the component-level semantic segmentation on the image, thereby improving the accuracy of the image component-level semantic segmentation.
    Type: Grant
    Filed: January 15, 2018
    Date of Patent: August 11, 2020
    Assignee: BEIHANG UNIVERSITY
    Inventors: Xiaowu Chen, Jia Li, Yafei Song, Yifan Zhao, Qinping Zhao
  • Patent number: 10504209
    Abstract: Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.
    Type: Grant
    Filed: March 2, 2017
    Date of Patent: December 10, 2019
    Assignee: BEIHANG UNIVERSITY
    Inventors: Xiaowu Chen, Yafei Song, Jia Li, Qinping Zhao, Xiaogang Wang
  • Publication number: 20190326679
    Abstract: A slot array antenna including a smooth curved surface and planar feed structures which are respectively disposed at two ends of the smooth curved surface and are tangent to the smooth curved surface. The smooth curved surface includes at least two arcs mutually connected by smooth transition. The at least two arcs each includes an upper copper metal layer, a lower copper metal layer, and a dielectric substrate layer between the upper and lower copper metal layers. The upper copper metal layer includes radiating slots, and the adjacent radiating slots in a linear array have opposite offsets along the center line of the slot array antenna. The dielectric substrate layer includes metallic vias symmetrically arranged on both sides of the central line of the antenna to form a substrate integrated waveguide.
    Type: Application
    Filed: April 17, 2019
    Publication date: October 24, 2019
    Inventors: Yujian CHENG, Yafei WU, Jinfan ZHANG, Fan ZHAO, Chunxu BAI, Yong FAN, Kaijun SONG, Bo ZHANG, Xianqi LIN, Yonghong ZHANG
  • Publication number: 20190080455
    Abstract: Embodiments of the present invention provide a method and a device for three-dimensional feature-embedded image object component-level semantic segmentation, the method includes: acquiring three-dimensional feature information of a target two-dimensional image; performing a component-level semantic segmentation on the target two-dimensional image according to the three-dimensional feature information of the target two-dimensional image and two-dimensional feature information of the target two-dimensional image. In the technical solution of the present application, not only the two-dimensional feature information of the image but also the three-dimensional feature information of the image are taken into consideration when performing the component-level semantic segmentation on the image, thereby improving the accuracy of the image component-level semantic segmentation.
    Type: Application
    Filed: January 15, 2018
    Publication date: March 14, 2019
    Inventors: XIAOWU CHEN, JIA LI, YAFEI SONG, YIFAN ZHAO, QINPING ZHAO
  • Publication number: 20180018539
    Abstract: Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.
    Type: Application
    Filed: March 2, 2017
    Publication date: January 18, 2018
    Inventors: XIAOWU CHEN, YAFEI SONG, JIA LI, QINPING ZHAO, XIAOGANG WANG