Patents by Inventor Huiling Zhou

Huiling Zhou 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: 11920472
    Abstract: A reasonable millisecond time control method for excavation blasting of a tunnel is provided, and includes: acquiring physical mechanical parameters to establish a millisecond blasting model, and designing four dimensions blasting parameters of explosive quantity, hole number, inter-hole millisecond and inter-row millisecond; simulating, based on the millisecond blasting model, a blasting process of an explosive package using blasting parameters to obtain a blasting vibration curve; obtaining single-hole blasting vibration waveforms, solving a vibration synthesis curve through a vibration synthesis theory; comparing the vibration synthesis curve with the blasting vibration curve to obtain a coupling relationship of blasting parameters; determining a target group of explosive quantity and hole numbers, determining a target millisecond through the coupling relationship of blasting parameters, and relating a millisecond blasting control strategy to control, and it is used for tunneling project to reduce cut blas
    Type: Grant
    Filed: September 20, 2023
    Date of Patent: March 5, 2024
    Assignees: CHINA RAILWAY ELEVENTH BUREAU GROUP CO., LTD, CHINA RAILWAY ELEVENTH BUREAU GROUP FOURTH ENGINEERING CO., LTD., WUJIU RAILWAY PASSENGER DEDICATED LINE HUBEI CO., LTD, CHINA RAILWAY FOURTH BUREAU GROUP CO., LTD, ANHUI CHINA RAILWAY ENGINEERING TECHNOLOGY SERVICE CO., LTD, WUHAN INSTITUTE OF GEOTECHNICAL MECHANICS, CHINESE ACADEMY OF SCIENCES, CHINA RAILWAY SOUTHWEST SCIENTIFIC RESEARCH INSTITUTE CO., LTD
    Inventors: Jun Gao, Liyun Yang, Xiao Lin, Ming Zhang, kaiwen Liu, Xiaowei Zuo, Bin Zhou, Feng Wang, Yuxin Gao, Dan Xu, Ling Wang, Zhengyi Wang, Xiaokai Wen, Yongtai Wang, Huiling Xue
  • Patent number: 11714849
    Abstract: Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.
    Type: Grant
    Filed: August 23, 2022
    Date of Patent: August 1, 2023
    Assignee: Alibaba Damo (Hangzhou) Technology Co., Ltd.
    Inventors: Huiling Zhou, Jinbao Xue, Zhikang Li, Jie Liu, Shuai Bai, Chang Zhou, Hongxia Yang, Jingren Zhou
  • Publication number: 20230068103
    Abstract: Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.
    Type: Application
    Filed: August 23, 2022
    Publication date: March 2, 2023
    Inventors: Huiling ZHOU, Jinbao XUE, Zhikang LI, Jie LIU, Shuai BAI, Chang ZHOU, Hongxia YANG, Jingren ZHOU
  • Patent number: 7582873
    Abstract: Disclosed is a method and apparatus for detecting the type of anesthetic gas. The method comprises the steps of: generating a light with a plurality of wavelengths, the light being able to be separated to a plurality of light beams whose central frequencies correspond to the plurality of wavelengths; passing said light through a gas chamber, wherein, the gas chamber being filled with said anesthetic gas, said anesthetic gas having absorption characteristic with respect to said plurality of light beams; detecting the light intensity of the attenuated light beams transmitted from the gas chamber respectively, to obtain the relative absorption characteristic of said attenuated light beams, which attenuated light beams having been absorbed by said anesthetic gas; and determining the type of said anesthetic gas based on the relative absorption characteristic between said attenuated light beams.
    Type: Grant
    Filed: December 30, 2005
    Date of Patent: September 1, 2009
    Assignee: Shenzhen Mindray Bio-Medical Electronics Co., Ltd.
    Inventors: Xinsheng Li, Huiling Zhou, Wei Zhang, Jilun Ye
  • Patent number: 7351954
    Abstract: A method and an apparatus for detecting gas concentration with infrared absorption characteristics have the function of automatic calibration. The function of automatic calibration is accomplished in such a manner that a reference chamber filled with CO2 gas of a known concentration is added in the apparatus; by switching the reference chamber in real-time or periodically into the detecting light path, the measured value of the concentration of CO2 gas in the reference chamber can be obtained; then by comparing the measured value with the standard value of known concentration of CO2 gas, the calibration factor is obtained; once finishing the calibration process, a detecting chamber is switched into the detecting light path so that a concentration of a gas can be detected accurately. In the apparatus of the present invention, the same detecting light path (e.g. the infrared light source, and the light filter, etc.), the same infrared light signal processing unit (e.g.
    Type: Grant
    Filed: December 20, 2005
    Date of Patent: April 1, 2008
    Assignee: Shenzhen Mindray Bio-Medical Electronics Co., Ltd.
    Inventors: Wei Zhang, Huiling Zhou, Zhigang Wu
  • Publication number: 20070220951
    Abstract: Disclosed is a method and apparatus for detecting the type of anesthetic gas. The method comprises the steps of: passing a plurality of light beams through a gas chamber injected with said anesthetic gas, wherein, said anesthetic gas has respective absorption characteristic with respect to each light beam; detecting the light intensities of the attenuated light beams absorbed by the anesthetic gas, respectively, to obtain the relative absorption coefficients of one of the attenuated light beams with respect to the others; mapping the obtained relative absorption coefficients into a coordinate system, which corresponds to said relative absorption coefficients; and determining the type of said anesthetic gas based on the mapping position of said relative absorption coefficients in the coordinate system.
    Type: Application
    Filed: December 22, 2006
    Publication date: September 27, 2007
    Inventors: Huiling Zhou, Wei Zhang, Zhigang Wu
  • Publication number: 20070034792
    Abstract: A method and an apparatus for detecting gas concentration with infrared absorption characteristics have the function of automatic calibration. The function of automatic calibration is accomplished in such a manner that a reference chamber filled with CO2 gas of a known concentration is added in the apparatus; by switching the reference chamber in real-time or periodically into the detecting light path, the measured value of the concentration of CO2 gas in the reference chamber can be obtained; then by comparing the measured value with the standard value of known concentration of CO2 gas, the calibration factor is obtained; once finishing the calibration process, a detecting chamber is switched into the detecting light path so that a concentration of a gas can be detected accurately. In the apparatus of the present invention, the same detecting light path (e.g. the infrared light source, and the light filter, etc.), the same infrared light signal processing unit (e.g.
    Type: Application
    Filed: December 20, 2005
    Publication date: February 15, 2007
    Applicant: SHENZHEN MINDRAY BIO-MEDICAL ELECTRONICS CO., LTD.
    Inventors: Wei Zhang, Huiling Zhou, Zhigang Wu
  • Publication number: 20060278829
    Abstract: Disclosed is a method and apparatus for detecting the type of anesthetic gas. The method comprises the steps of: generating a light with a plurality of wavelengths, the light being able to be separated to a plurality of light beams whose central frequencies correspond to the plurality of wavelengths; passing said light through a gas chamber, wherein, the gas chamber being filled with said anesthetic gas, said anesthetic gas having absorption characteristic with respect to said plurality of light beams; detecting the light intensity of the attenuated light beams transmitted from the gas chamber respectively, to obtain the relative absorption characteristic of said attenuated light beams, which attenuated light beams having been absorbed by said anesthetic gas; and determining the type of said anesthetic gas based on the relative absorption characteristic between said attenuated light beams.
    Type: Application
    Filed: December 30, 2005
    Publication date: December 14, 2006
    Applicant: SHENZHEN MINDRAY BIO-MEDICAL ELECTRONICS CO., LTD.
    Inventors: Xinsheng Ll, Huiling Zhou, Wei Zhang, Jilun Ye