Patents by Inventor Qingfu Zhang

Qingfu Zhang 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: 20240109895
    Abstract: An oxaspiro substituted pyrrolopyrazole derivative, an intermediate thereof, and a preparation method therefor.
    Type: Application
    Filed: December 29, 2021
    Publication date: April 4, 2024
    Applicants: SHANGHAI HAIYAN PHARMACEUTICAL TECHNOLOGY CO., LTD., YANGTZE RIVER PHARMACEUTICAL GROUP CO., LTD.
    Inventors: Zhenya ZENG, Chao KAN, Qingfu GAO, Yixiao FENG, Bo WU, Xingsong ZHANG, Youhong MA, Kejun SUN
  • Patent number: 9197122
    Abstract: A load drive circuit may include a DC power source configured to provide a DC output voltage for at least one load based on an output voltage of an AC/DC converter, the DC output voltage having a ripple, a variable resistance module connected to the load, a ripple reduction module that generates, based on a reference voltage and a feedback signal from the load, a variable resistance adjusting signal for adjusting the resistance of the variable resistance module so as to reduce a ripple of the load current, wherein the reference voltage is generated based on the DC output voltage, and a reference voltage adjusting module that adjusts the average value of the reference voltage based on the variable resistance adjusting signal, so as to make the average value of the reference voltage approach the average value of the feedback signal as much as possible.
    Type: Grant
    Filed: May 8, 2013
    Date of Patent: November 24, 2015
    Assignee: OSRAM GmbH
    Inventors: Xusheng Yang, Shaoping Chen, Xiongqiang He, Qingfu Zhang
  • Publication number: 20150123568
    Abstract: A load drive circuit may include a DC power source configured to provide a DC output voltage for at least one load based on an output voltage of an AC/DC converter, the DC output voltage having a ripple, a variable resistance module connected to the load, a ripple reduction module that generates, based on a reference voltage and a feedback signal from the load, a variable resistance adjusting signal for adjusting the resistance of the variable resistance module so as to reduce a ripple of the load current, wherein the reference voltage is generated based on the DC output voltage, and a reference voltage adjusting module that adjusts the average value of the reference voltage based on the variable resistance adjusting signal, so as to make the average value of the reference voltage approach the average value of the feedback signal as much as possible.
    Type: Application
    Filed: May 8, 2013
    Publication date: May 7, 2015
    Inventors: Xusheng Yang, Shaoping Chen, Xiongqiang He, Qingfu Zhang
  • Patent number: 7739206
    Abstract: A system and method for combining the model-based and genetics-based methods are combined according to a convergence criterion. When the population is not converged, the genetics-based approach is used, and when the population is converged, the model-based method is used to generate offspring. The algorithm benefits from using a model-based offspring generation only when the population shows a certain degree of regularity, i.e., converged in a stochastic sense. In addition, a more sophisticated method to construct the stochastic part of the model can be used. Also a biased Gaussian noise (the mean of the noise is not zero), as well as a white Gaussian noise (the mean of the noise is zero) can be preferably used for the stochastic part of the model.
    Type: Grant
    Filed: January 16, 2007
    Date of Patent: June 15, 2010
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Bernhard Sendhoff, Yaochu Jin, Edward Tsang, Qingfu Zhang, Aimin Zhou
  • Publication number: 20070174221
    Abstract: A system and method for combining the model-based and genetics-based methods are combined according to a convergence criterion. When the population is not converged, the genetics-based approach is used, and when the population is converged, the model-based method is used to generate offspring. The algorithm benefits from using a model-based offspring generation only when the population shows a certain degree of regularity, i.e., converged in a stochastic sense. In addition, a more sophisticated method to construct the stochastic part of the model can be used. Also a biased Gaussian noise (the mean of the noise is not zero), as well as a white Gaussian noise (the mean of the noise is zero) can be preferably used for the stochastic part of the model.
    Type: Application
    Filed: January 16, 2007
    Publication date: July 26, 2007
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Bernhard Sendhoff, Yaochu Jin, Edward Tsang, Qingfu Zhang, Aimin Zhou