Patents by Inventor Nam Eung Kim

Nam Eung Kim 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: 20250189078
    Abstract: A gas supply system includes a cabinet forming an internal space where a gas container is disposed, a fastening device movably installed in the internal space and fastened to a valve of the gas container in a state of being aligned with the valve, and a mobile robot device movable outside the cabinet, detachably connected to the fastening device, and configured to move the fastening device in a state of being connected to the fastening device.
    Type: Application
    Filed: December 5, 2024
    Publication date: June 12, 2025
    Applicant: KC CO., LTD.
    Inventors: Sang Jin KIM, Nam Eung KIM, Yong Geon PARK, Young Hoon KIM, Jung Hoon LEE, Du Seok LEE, Jong Chan KIM
  • Publication number: 20250187194
    Abstract: A gas supply system includes a cabinet in which a gas container is disposed, a fastening device movable with respect to the gas container, and fastenable to a valve of the gas container while aligned with the valve, a mobile robot device detachably connected to the fastening device and configured to move the fastening device, a three-dimensional (3D) vision camera configured to collect an image, and a processor configured to control an operation of the mobile robot device based on the image collected by the 3D vision camera.
    Type: Application
    Filed: December 5, 2024
    Publication date: June 12, 2025
    Applicant: KC CO., LTD.
    Inventors: Sang Jin KIM, Nam Eung KIM, Yong Geon PARK, Young Hoon KIM, Jung Hoon LEE, Du Seok LEE, Jong Chan KIM
  • Patent number: 10352794
    Abstract: A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.
    Type: Grant
    Filed: September 17, 2013
    Date of Patent: July 16, 2019
    Assignee: Siemens Energy, Inc.
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, Nancy H. Ulerich, Nam Eung Kim, Nikolai R. Tevs
  • Publication number: 20140100798
    Abstract: A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.
    Type: Application
    Filed: September 17, 2013
    Publication date: April 10, 2014
    Applicants: SIEMENS ENERGY, INC., SIEMENS CORPORATION
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, Nancy H. Ulerich, Nam Eung Kim, Nikolai R. Tevs