Patents by Inventor Xiaojuan Song

Xiaojuan 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: 20240102793
    Abstract: An on-line measurement-error correction device and method for the inner profile of a special-shaped shell, including a fixing device. A vertical moving device is fixed at the top of the fixing device and connected with a horizontal moving device connected with a distance monitoring device, which is movable vertically and horizontally under the drive of the vertical and horizontal moving devices. The distance monitoring device includes a displacement monitoring element fixedly arranged on a fixing support hinged with an electric push rod configured to displace to drive the displacement monitoring element to deflect so as to change a monitoring direction. The displacement monitoring element is driven to deflect by the electric push rod of the distance monitoring device to change a monitoring direction, and a distance between each longitudinal section surface point on the inner surface of the special-shaped shell and the displacement monitoring element can be gradually measured.
    Type: Application
    Filed: March 15, 2023
    Publication date: March 28, 2024
    Applicants: SHANDONG UNIVERSITY, SHANDONG RESEARCH AND DESIGN INSTITUTE OF INDUSTRIAL CERAMICS CO., LTD.
    Inventors: Qinghua SONG, Xiaojuan WANG, Liping JIANG, Hongsheng WANG, Qiang LUAN, Zhanqiang LIU, Yicong DU
  • Patent number: 9759688
    Abstract: A gas sensor utilizing carbon nanotubes (CNTs) is disclosed. The sensor can include a patch antenna, a feed line, and a stub line. The stub line can include a carbon nanotube (CNT) thin-film layer for gas detection. The CNTs can be functionalized to detect one or more analytes with specificity designed to detect, for example, environmental air contaminants, hazardous gases, or explosives. The sensor can provide extremely sensitive gas detection by monitoring the shift in resonant frequency of the sensor circuit resulting from the adsorption of the analyte by the CNT thin-film layer. The sensor can be manufactured using inkjet printing technologies to reduce costs. The integration of an efficient antenna on the same substrate as the sensor enables wireless applications of the sensor without additional components, for wireless standoff chemical sensing applications including, for example, defense, industrial monitoring, environmental sensing, automobile exhaust analysis, and healthcare applications.
    Type: Grant
    Filed: March 1, 2013
    Date of Patent: September 12, 2017
    Assignee: Georgia Tech Research Corporation
    Inventors: Krishna Naishadham, Xiaojuan Song, Brent Wagner
  • Publication number: 20130230429
    Abstract: A gas sensor utilizing carbon nanotubes (CNTs) is disclosed. The sensor can include a patch antenna, a feed line, and a stub line. The stub line can include a carbon nanotube (CNT) thin-film layer for gas detection. The CNTs can be functionalized to detect one or more analytes with specificity designed to detect, for example, environmental air contaminants, hazardous gases, or explosives. The sensor can provide extremely sensitive gas detection by monitoring the shift in resonant frequency of the sensor circuit resulting from the adsorption of the analyte by the CNT thin-film layer. The sensor can be manufactured using inkjet printing technologies to reduce costs. The integration of an efficient antenna on the same substrate as the sensor enables wireless applications of the sensor without additional components, for wireless standoff chemical sensing applications including, for example, defense, industrial monitoring, environmental sensing, automobile exhaust analysis, and healthcare applications.
    Type: Application
    Filed: March 1, 2013
    Publication date: September 5, 2013
    Applicant: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Krishna Naishadham, Xiaojuan Song, Brent Wagner