Patents by Inventor JongHoon Yoon

JongHoon Yoon 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: 20240256895
    Abstract: A method and device with federated learning of neural network models are disclosed. A method includes: receiving weights of respective clients, wherein each weight has a respectively corresponding precision that is initially an inherent precision; using a dequantizer to change the weights such that the precisions thereof are changed from the inherent precisions to a same reference precision; determining masks respectively corresponding to the weights based on the inherent precisions; based on the masks, determining an integrated weight by merging the weights having the reference precision; and quantizing the integrated weight to generate quantized weights having the inherent precisions, respectively, and transmitting the quantized weights to the clients.
    Type: Application
    Filed: June 28, 2023
    Publication date: August 1, 2024
    Applicants: SAMSUNG ELECTRONICS CO., LTD., Korea Advanced Institute of Science and Technology
    Inventors: Jonghoon YOON, Geon PARK, Jaehong YOON, Sung Ju HWANG, Wonyong JEONG
  • Publication number: 20240242090
    Abstract: A method of searching for hyperparameters for neural network learning includes: obtaining a preset early stop point; determining whether a current trial, among trials for searching for different combinations of hyperparameters, corresponds to a dry run trial; in response to a determination that the current trial corresponds to a dry run trial: executing learning epochs belonging to the current trial; searching for a combination of hyperparameters assigned to the current trial according to a result of the executing of the learning epochs; and changing the early stop point by based on whether an early stop with respect to a found combination of the hyperparameters is a success in each of the learning epochs.
    Type: Application
    Filed: September 28, 2023
    Publication date: July 18, 2024
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Sung-Jae CHO, Changyong SON, Jongseok KIM, Jonghoon YOON
  • Publication number: 20240204599
    Abstract: A superconducting motor system includes a stator and one or more rotors inside the stator. The rotors may form a plurality of poles, and may rotate when a current is applied thereto. The one or more rotors include: a superconductor winding portion for each pole and in which superconductor coils are wound to form at least two layers; a power supply portion configured to supply a current to the superconductor winding portion; and a resistor portion connecting the superconductor winding portion at least partly in parallel to the power supply portion. the resistor portion enables different currents to be able to flow through the at least two layers of the superconductor winding portion.
    Type: Application
    Filed: March 22, 2023
    Publication date: June 20, 2024
    Inventors: Hyung Kwan Jang, Byung Ho Min, Jun Hyeok Choi, Kyung Sik Choi, Tae Gyu Lee, Hoo Dam Lee, Jonghoon Yoon, Geonyoung Kim, Chaemin Im, Jung Tae Lee, Seong Hyeon Park, Jeonghwan Park, Seungyong Hahn, Jeseok Bang
  • Publication number: 20240184625
    Abstract: A method of a system including a processor including recording experiment information of a job in connection with job information generated based on an execution of a job of a computer cluster system, and controlling further execution of a job, by the computer cluster system, by transmitting a change in the experiment information to the computer cluster system based on the job information.
    Type: Application
    Filed: October 4, 2023
    Publication date: June 6, 2024
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Jongseok KIM, Youngmin KIM, Jonghoon YOON, SUNG-JAE CHO, Changyong SON
  • Patent number: 11790541
    Abstract: A processor-implemented method of tracking a target object includes: extracting a feature from frames of an input image; selecting one a neural network model from among a plurality of neural network models that is provided in advance based on a feature value range, based on a feature value of a target object that is included in the feature of a previous frame among the frames; and generating a bounding box of the target object included in a current frame among the frames, based on the selected neural network model.
    Type: Grant
    Filed: July 26, 2021
    Date of Patent: October 17, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Jonghoon Yoon, Dongwook Lee, Changyong Son, Byung In Yoo, Seohyung Lee
  • Publication number: 20220301188
    Abstract: A processor-implemented method of tracking a target object includes: extracting a feature from frames of an input image; selecting one a neural network model from among a plurality of neural network models that is provided in advance based on a feature value range, based on a feature value of a target object that is included in the feature of a previous frame among the frames; and generating a bounding box of the target object included in a current frame among the frames, based on the selected neural network model.
    Type: Application
    Filed: July 26, 2021
    Publication date: September 22, 2022
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Jonghoon YOON, Dongwook LEE, Changyong SON, Byung In YOO, Seohyung LEE
  • Publication number: 20170005392
    Abstract: A mobile device with a laser direct structuring (LDS) antenna module is provided in the present disclosure. The mobile device includes a glass back cover and an LDS antenna module on the glass back cover. The LDS antenna module includes an LDS coating layer formed on a main surface of the glass back cover, and at least one antenna unit formed at the LDS coating layer by LDS process. The present disclosure also provides a method for making an LDS antenna module.
    Type: Application
    Filed: January 28, 2016
    Publication date: January 5, 2017
    Applicant: AAC Technologies Pte. Ltd.
    Inventors: Seokjin Hwang, JongHoon Yoon