Patents by Inventor Junghyun Oh

Junghyun Oh 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: 20250048697
    Abstract: A semiconductor device includes a gate structure disposed on a substrate and extending along a first direction that is substantially parallel to an upper surface of the substrate, first and second impurity regions disposed on portions of the substrate at opposite sides of the gate structure along a second direction that is substantially parallel to the upper surface of the substrate, the first and second impurity regions being substantially perpendicular to each other, wherein the first and second impurity regions are each doped with n-type impurities, a third impurity region disposed on a portion of the substrate adjacent to the first impurity region along the second direction, wherein the third impurity region is doped with p-type impurities, a fourth impurity region disposed on a portion of the substrate adjacent to the first impurity region along the first direction, wherein the fourth impurity region is connected to the third impurity region and is doped with p-type impurities and a wiring structure disp
    Type: Application
    Filed: July 18, 2024
    Publication date: February 6, 2025
    Inventors: Junghyun OH, Jungkyung KIM
  • Patent number: 12014574
    Abstract: A method, apparatus, system, and computer program product for training a gesture recognition machine learning model system. Temporal images for a set of gestures used for ground operations for an aircraft are identified by a computer system. Pixel variation data identifying movement on a per image basis from the temporal images is generated by the computer system. The temporal images and the pixel variation data form training data. A set of feature machine learning models is trained by the computer system to recognize features using the training data.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: June 18, 2024
    Assignee: The Boeing Company
    Inventors: Amir Afrasiabi, Kwang Hee Lee, Bhargavi Patel, Young Suk Cho, Junghyun Oh
  • Publication number: 20230026787
    Abstract: Systems, methods and computer readable media provide technology to perform image classification and produce visualization using a machine learning architecture. The disclosed image classification and visualization technology includes a feature extraction network to generate a feature map, a feature importance network to generate a feature importance vector, an attention map generated based on a weighted sum of the feature importance vector and the feature map, a classification output determined based on a combination of the attention map and the feature map, and a feature visualization image generated by overlaying the attention map onto an input image. Each of the feature extraction network and the feature importance network can include a neural network.
    Type: Application
    Filed: May 23, 2022
    Publication date: January 26, 2023
    Applicant: The Boeing Company
    Inventors: Kwang Hee Lee, Chaewon Park, Junghyun Oh
  • Publication number: 20220129667
    Abstract: A method, apparatus, system, and computer program product for training a gesture recognition machine learning model system. Temporal images for a set of gestures used for ground operations for an aircraft are identified by a computer system. Pixel variation data identifying movement on a per image basis from the temporal images is generated by the computer system. The temporal images and the pixel variation data form training data. A set of feature machine learning models is trained by the computer system to recognize features using the training data.
    Type: Application
    Filed: October 25, 2021
    Publication date: April 28, 2022
    Inventors: Amir Afrasiabi, Kwang Hee Lee, Bhargavi Patel, Young Suk Cho, Junghyun Oh
  • Patent number: 7046904
    Abstract: The present invention relates to a UV curable clad resin composition for optical fiber or waveguide comprising: (A) a photopolymerizable acrylate oligomer derived from the mixture composed of a polyol copolymer, an acid anhydride, an acrylate alcohol, a condensation polymerization catalyst and a polymerization inhibitor, (B) a photopolymerizable monomer, (C) a photopolymerization initiator, and (D) a leveling or antifoaming agent. The inventive composition minimizes optical loss and has a controllable low refractive index in the range of 1.35 to 1.46.
    Type: Grant
    Filed: April 18, 2003
    Date of Patent: May 16, 2006
    Assignee: SSCP Co., Ltd.
    Inventors: Selee Chang, Daesung Lee, Junghyun Oh
  • Publication number: 20060067638
    Abstract: The present invention relates to a UV curable clad resin composition for optical fiber or waveguide comprising: (A) a photopolymerizable acrylate oligomer derived from the mixture composed of a polyol copolymer, an acid anhydride, an acrylate alcohol, a condensation polymerization catalyst and a polymerization inhibitor, HB) a photopolymerizable monomer, (C) a photopolymerization initiator, and (D) a leveling or antifoaming agent. The inventive composition minimizes optical loss and has a controllable low refractive index in the range of 1.35 to 1.46.
    Type: Application
    Filed: April 18, 2003
    Publication date: March 30, 2006
    Inventors: Selee Chang, Daesung Lee, Junghyun Oh