Patents by Inventor Yuanfeng Wu

Yuanfeng Wu 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: 20240011602
    Abstract: A pressure-compensation controlled hydraulic pump, comprising an electric proportional pressure compensator, a hydraulic pump, a hydraulic control reversing valve and a servo cylinder; the electric proportional pressure compensator can be electrically connected to a controller, a first hydraulic control port of the hydraulic control reversing valve is connected to an internal oil drain path, and is connected to an internal output oil path by means of a hydraulic control oil inlet path provided with a first throttle valve, a second hydraulic control port is connected to the internal output oil path, and the pressure difference between an opening pressure of the electric proportional pressure compensator and an oil outlet pressure of the hydraulic pump can drive the hydraulic control reversing valve to perform reversing, and selectively enable a piston chamber of the servo cylinder to be in communication with the internal output oil path or the internal oil drain path.
    Type: Application
    Filed: September 23, 2021
    Publication date: January 11, 2024
    Applicants: ZOOMLION HEAVY INDUSTRY SCIENCE AND TECHNOLOGY CO., LTD., ZOOMLION SHAANXI WESTERN EARTHMOVING MACHINERY CO., LTD, Zoomlion Earthmoving Machinery Co., Ltd.
    Inventors: Xiangbao LIU, Yongfeng TIAN, Bo YI, Yuanfeng WU, Fujun DENG
  • Publication number: 20230127939
    Abstract: Disclosed is a method for region-of-interest enhanced PET image reconstruction based on multi-task learning, which comprises the following steps: firstly, acquiring a backprojection image of the PET original data, and designing a main task of establishing a mapping between the backprojection image and a reconstructed PET image by using a three-dimensional deep convolution neural network. A new auxiliary task 1 is designed to predict a computerized tomography (CT) image with the same anatomical structures as the PET image reconstructed from the backprojection image, so as to reduce the noise in the reconstructed PET image by using the local smoothing information of the high-resolution CT image.
    Type: Application
    Filed: December 22, 2022
    Publication date: April 27, 2023
    Inventors: Wentao ZHU, Bao YANG, Yuanfeng WU
  • Publication number: 20220226864
    Abstract: An automatic identification and classification production line for mobile terminal liquid crystal display (LCD) screens includes a size and posture identification adjustment part, a model identification part, and a classification storage device. The size and posture identification adjustment part can transport a mobile terminal LCD screen, identify front and back surfaces of the mobile terminal LCD screen, size of the mobile terminal LCD screen, and orientation of the mobile terminal LCD screen, and adjust the front surface of the mobile terminal LCD screen to face up and the orientation of the mobile terminal LCD screen to be the same as the transportation direction during transportation. The model identification part transports the mobile terminal LCD screen after adjustment of the posture, and identifies model of the mobile terminal LCD screen according to the size during transportation. The classification storage device classifies and stores mobile terminal LCD screens according to different models.
    Type: Application
    Filed: January 12, 2021
    Publication date: July 21, 2022
    Applicant: HEFEI UNIVERSITY OF TECHNOLOGY
    Inventors: Lei ZHANG, Ziqi LI, Yu ZHENG, Yuanfeng WU
  • Patent number: 10474179
    Abstract: A power supply control device for a communication network includes: a monitoring module (11) and N voltage-adjustable Direct Current/Direct Current (DC/DC) modules (121, 122 . . . 12N). The monitoring module is configured to detect circuit data of each of power supply circuits (1,2, . . . i), compare the circuit data with each other, calculate an average value, analyze required output circuit data of each of the power supply circuits, and transmit the required output circuit data of the power supply circuits to respective the voltage-adjustable DC/DC modules. The voltage-adjustable DC/DC modules are configured to receive the required output circuit data of the power supply circuits, and adjust output voltages of the power supply circuits according to the output circuit data. Output ends of all of the voltage-adjustable DC/DC modules are connected in parallel to supply power to a subordinate electro-load. Also disclosed is a power supply control method for the communication network.
    Type: Grant
    Filed: December 1, 2014
    Date of Patent: November 12, 2019
    Assignee: ZTE Corporation
    Inventors: Qiang Guo, Yuanfeng Wu, Honglai Wang
  • Publication number: 20170220085
    Abstract: A power supply control device for a communication network includes: a monitoring module (11) and N voltage-adjustable Direct Current/Direct Current (DC/DC) modules (121, 122 . . . 12N). The monitoring module is configured to detect circuit data of each of power supply circuits (1,2, . . . i), compare the circuit data with each other, calculate an average value, analyse required output circuit data of each of the power supply circuits, and transmit the required output circuit data of the power supply circuits to respective the voltage-adjustable DC/DC modules. The voltage-adjustable DC/DC modules are configured to receive the required output circuit data of the power supply circuits, and adjust output voltages of the power supply circuits according to the output circuit data. Output ends of all of the voltage-adjustable DC/DC modules are connected in parallel to supply power to a subordinate electro-load. Also disclosed is a power supply control method for the communication network.
    Type: Application
    Filed: December 1, 2014
    Publication date: August 3, 2017
    Inventors: Qiang Guo, Yuanfeng Wu, Honglai Wang