Patents by Inventor Dong Won Yang

Dong Won Yang 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: 20240170779
    Abstract: A battery module has improved waterproof and anti-vibration performance and a battery pack including the same. The battery module may be configured such that a battery cell is received in a space defined by a lower case and an upper case. A lower rib at a tip end of the lower case and an upper rib at a tip end of the upper case are brought into contact with each other, and the contact includes one face contact and one or more line contacts.
    Type: Application
    Filed: October 18, 2022
    Publication date: May 23, 2024
    Applicant: LG ENERGY SOLUTION, LTD.
    Inventors: Seong Hwan YANG, Mun Jun BAE, Dong Won YOO
  • Patent number: 11923362
    Abstract: An integrated circuit (IC) device includes: a fin-type active area protruding from a substrate and extending in a first horizontal direction; a first nanosheet disposed above an upper surface of the fin-type active area with a first separation space therebetween; a second nanosheet disposed above the first nanosheet with a second separation space therebetween; a gate line extending on the substrate in a second horizontal direction intersecting the first horizontal direction, at least a portion of the gate line being disposed in the second separation space; and a bottom insulation structure disposed in the first separation space.
    Type: Grant
    Filed: May 9, 2023
    Date of Patent: March 5, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Myung-gil Kang, Beom-jin Park, Geum-jong Bae, Dong-won Kim, Jung-gil Yang
  • Patent number: 11875878
    Abstract: The present disclosure relates to a machine learning method and apparatus using steps feature selection based on a genetic algorithm, and the machine learning method includes defining a feature set including a plurality of features, generating a plurality of feature combinations including n-dimensional features (n is a natural number) for the feature set, independently constructing feature models for the plurality of feature combinations and calculating prediction accuracy for each of the feature models as a prediction result for a predetermined data set, arranging the feature models according to the prediction accuracy to determine at least one good feature model that satisfies a preset criterion, determining at least one good feature from among features included in a corresponding feature set of the at least one good feature model, and updating the feature set to include only the at least one good feature and re-determining a good feature model for a (n+1)-dimensional feature combination based on the update
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: January 16, 2024
    Assignees: IMEDISYNC. LTD., THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION
    Inventors: Seung Wan Kang, Namheon Kim, Dong Won Yang
  • Publication number: 20230023432
    Abstract: There is provided a method for determining dementia risk factors by a server using deep learning. In this instance, the method for determining dementia risk factors includes acquiring biometric information from each subject corresponding to a first control group through a wearable device, acquiring measurement information for each subject corresponding to the first control group, deriving a first dementia risk factor based on the biometric information and the measurement information for each subject, and deriving a second dementia risk factor related to the first dementia risk factor via deep learning performed based on the biometric information related to the first dementia risk factor and control group information.
    Type: Application
    Filed: July 21, 2021
    Publication date: January 26, 2023
    Applicants: THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION, GIL MEDICAL CENTER, Inha University Research and Business Foundation
    Inventors: Dong Won YANG, Sang Yun KIM, Kee Hyung PARK, Jee Hyang JEONG, Seong Hye CHOI, Yun Jeong HONG, Min Jeong WANG
  • Publication number: 20220399081
    Abstract: The present disclosure relates to a machine learning method and apparatus using steps feature selection based on a genetic algorithm, and the machine learning method includes defining a feature set including a plurality of features, generating a plurality of feature combinations including n-dimensional features (n is a natural number) for the feature set, independently constructing feature models for the plurality of feature combinations and calculating prediction accuracy for each of the feature models as a prediction result for a predetermined data set, arranging the feature models according to the prediction accuracy to determine at least one good feature model that satisfies a preset criterion, determining at least one good feature from among features included in a corresponding feature set of the at least one good feature model, and updating the feature set to include only the at least one good feature and re-determining a good feature model for a (n+1)-dimensional feature combination based on the update
    Type: Application
    Filed: November 8, 2021
    Publication date: December 15, 2022
    Inventors: Seung Wan Kang, Namheon Kim, Dong Won Yang
  • Publication number: 20220285886
    Abstract: A high-speed communication connector capable of improving transmission quality and of controlling transmission characteristics is disclosed. The connector is a board-to-board-type connector for high-speed data communication in band of 10 to 25 GHz, and is constructed so as to reduce signal interference by virtue of a finger body having a PCB structure and shield structures between signal lines of a receptacle body filled with a dielectric material and to realize matching between impedances by virtue of the dielectric material and the signal lines.
    Type: Application
    Filed: August 25, 2020
    Publication date: September 8, 2022
    Applicant: EL TECH Co., Ltd.
    Inventors: Hyun-Su YUN, Jong-Moon KIM, Dong-Won YANG
  • Patent number: 9200869
    Abstract: The present invention aims to provide a composite optical device which includes the day-time optical device, thermal imaging optical device, laser application device and displaying device while reducing the volume and weight, further comprising attenuator that can control the amount of light for easy display on the display. The present invention also aims to provide a composite optical device with enhanced efficiency of transmitting laser and easy operability by installing the attenuator at an appropriate location.
    Type: Grant
    Filed: May 18, 2010
    Date of Patent: December 1, 2015
    Assignee: Agency for Defense Development
    Inventors: Dong Won Yang, Dong Min Kwak, Joo Hong Yoon, Kyung Mok Kang
  • Publication number: 20120044475
    Abstract: The present invention aims to provide a composite optical device which includes the day-time optical device, thermal imaging optical device, laser application device and displaying device while reducing the volume and weight, further comprising attenuator that can control the amount of light for easy display on the display. The present invention also aims to provide a composite optical device with enhanced efficiency of transmitting laser and easy operability by installing the attenuator at an appropriate location.
    Type: Application
    Filed: May 18, 2010
    Publication date: February 23, 2012
    Inventors: Dong Won Yang, Dong Min Kwak, Joo Hong Yoon, Kyung Mok Kang