Patents by Inventor Ziyu Wu

Ziyu 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).

  • Patent number: 11958518
    Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.
    Type: Grant
    Filed: January 22, 2021
    Date of Patent: April 16, 2024
    Assignee: Traffic Control Technology Co., Ltd.
    Inventors: Chunhai Gao, Chao Liu, Feng Bao, Chunyu Zhang, Ziyu Wu
  • Patent number: 11708098
    Abstract: Embodiments of the present application provide a method and a device for optimizing a target operation speed curve in an ATO of a train. The method includes: calculating a plurality of performance indexes of the train driving in a current section of a line, and constructing an objective function for optimizing the target operation speed curve of the train according to the plurality of performance indexes; determining constraint conditions of the objective function according to speed limit information of the line and running time of the train in the current section; and solving the objective function according to the constraint conditions based on a differential evolution algorithm to obtain the target operation speed curve of the train. The objective function for optimizing the target operation speed curve of the train are constructed using the plurality of performance indexes, which makes the optimization of the train speed curve more accurate.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: July 25, 2023
    Assignee: Traffic Control Technology Co., Ltd.
    Inventors: Ziyu Wu, Lei Zhang, Wei Wang
  • Publication number: 20220144324
    Abstract: Embodiments of the present application provide a method and a device for optimizing a target operation speed curve in an ATO of a train. The method includes: calculating a plurality of performance indexes of the train driving in a current section of a line, and constructing an objective function for optimizing the target operation speed curve of the train according to the plurality of performance indexes; determining constraint conditions of the objective function according to speed limit information of the line and running time of the train in the current section; and solving the objective function according to the constraint conditions based on a differential evolution algorithm to obtain the target operation speed curve of the train. The objective function for optimizing the target operation speed curve of the train are constructed using the plurality of performance indexes, which makes the optimization of the train speed curve more accurate.
    Type: Application
    Filed: January 27, 2021
    Publication date: May 12, 2022
    Inventors: Ziyu WU, Lei ZHANG, Wei WANG
  • Publication number: 20210403063
    Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.
    Type: Application
    Filed: January 22, 2021
    Publication date: December 30, 2021
    Inventors: Chunhai Gao, Chao Liu, Feng Bao, Chunyu Zhang, Ziyu Wu
  • Patent number: 8972191
    Abstract: Phase sensitive X-ray imaging methods provide substantially increased contrast over conventional absorption based imaging, and therefore new and otherwise inaccessible information. The use of gratings as optical elements in hard X-ray phase imaging overcomes some of the problems impairing the wider use of phase contrast in X-ray radiography and tomography. To separate the phase information from other contributions detected with a grating interferometer, a phase-stepping approach has been considered, which implies the acquisition of multiple radiographic projections. Here, an innovative, highly sensitive X-ray tomographic phase contrast imaging approach is presented based on grating interferometry, which extracts the phase contrast signal without the need of phase stepping. Compared to the existing phase step approach, the main advantage of this new method dubbed “reverse projection” is the significantly reduced delivered dose, without degradation of the image quality.
    Type: Grant
    Filed: February 3, 2010
    Date of Patent: March 3, 2015
    Assignees: Paul Scherrer Institut, Institut of High Energy Physics, Chinese Academy of Sciences
    Inventors: Marco Stampanoni, Ziyu Wu, Peiping Zhu
  • Publication number: 20120041679
    Abstract: Phase sensitive X-ray imaging methods provide substantially increased contrast over conventional absorption based imaging, and therefore new and otherwise inaccessible information. The use of gratings as optical elements in hard X-ray phase imaging overcomes some of the problems impairing the wider use of phase contrast in X-ray radiography and tomography. To separate the phase information from other contributions detected with a grating interferometer, a phase-stepping approach has been considered, which implies the acquisition of multiple radiographic projections. Here, an innovative, highly sensitive X-ray tomographic phase contrast imaging approach is presented based on grating interferometry, which extracts the phase contrast signal without the need of phase stepping. Compared to the existing phase step approach, the main advantage of this new method dubbed “reverse projection” is the significantly reduced delivered dose, without degradation of the image quality.
    Type: Application
    Filed: February 3, 2010
    Publication date: February 16, 2012
    Applicant: PAUL SCHERRER INSTITUT
    Inventors: Marco Stampanoni, Ziyu Wu, Peiping Zhu
  • Patent number: 7813475
    Abstract: An x-ray imaging system uses a synchrotron radiation beam to acquire x-ray images and at least one integrated x-ray source. The system has an imaging system including sample stage controlled by linear translation stages, objective x-ray lens, and x-ray sensitive detector system, placed on a fixed optical table and a mechanical translation stage system to switch x-ray sources when synchrotron radiation beam is not available.
    Type: Grant
    Filed: March 11, 2009
    Date of Patent: October 12, 2010
    Assignee: Xradia, Inc.
    Inventors: Ziyu Wu, Wenbing Yun, Peiping Zhu, Yuxin Wang, Qingxi Yuan, Andrei Tkachuk, Wanxia Huang, Michael Feser
  • Patent number: 7796725
    Abstract: An x-ray imaging system uses a synchrotron radiation beam to acquire x-ray images and at least one integrated x-ray source. The system has an imaging system including sample stage controlled by linear translation stages, objective x-ray lens, and x-ray sensitive detector system, placed on a fixed optical table and a mechanical translation stage system to switch x-ray sources when synchrotron radiation beam is not available.
    Type: Grant
    Filed: March 11, 2009
    Date of Patent: September 14, 2010
    Assignee: Xradia, Inc.
    Inventors: Ziyu Wu, Wenbing Yun, Peiping Zhu, Yuxin Wang, Qingxi Yuan, Andrei Tkachuk, Wanxia Huang, Michael Feser