Patents by Inventor Jong Won Choi

Jong Won Choi 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).

  • Patent number: 11081063
    Abstract: An organic light emitting display device includes scan lines arranged in horizontal lines, data lines intersecting the scan lines, a pixel array including pixels coupled to the scan lines and the data lines, the pixels including at least first color pixels, a panel tester including switching elements coupled to first ends of the data lines, the switching elements including at least first and second switching elements, and a first line coupled to the first switching elements and a second line coupled to the second switching elements. Data lines of K-th to (K+L)-th (where K and L are natural numbers) first color pixels arranged in a predetermined horizontal line are coupled to the first line through the first switching elements, and data lines of at least a part of remaining first color pixels arranged in the predetermined horizontal line are coupled to the second line through the second switching elements.
    Type: Grant
    Filed: April 2, 2019
    Date of Patent: August 3, 2021
    Assignee: SAMSUNG DISPLAY CO., LTD.
    Inventors: Dae Youn Cho, Sang Kil Kim, Hyo Jung Kim, Jong Woo Park, Dong Gi Ahn, Jong Won Lee, Ju Hee Lee, Young Tae Choi
  • Publication number: 20210225146
    Abstract: Disclosed herein are a method and apparatus for detecting a disaster based on images. The apparatus includes an image capture unit for capturing video using at least one camera and controlling the camera based on a camera control signal received from the outside; a disaster detection unit for generating a disaster log based on the video captured using the camera; a disaster analysis unit for calculating a disaster occurrence probability value based on the disaster log and determining whether to enter a camera control mode based on the disaster occurrence probability value; and a disaster alert unit for warning of a disaster based on a disaster alert request signal.
    Type: Application
    Filed: December 14, 2020
    Publication date: July 22, 2021
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Sang-Won GHYME, Hye-Jin KIM, Seon-Ho OH, Geon-Woo KIM, Sang-Wook PARK, So-Hee PARK, Su-Wan PARK, Kyung-Soo LIM, Bum-Suk CHOI, Seung-Wan HAN, Jong-Wook HAN
  • Publication number: 20210216276
    Abstract: A speech recognition method and apparatus for performing speech recognition in response to an activation word determined based on a situation are provided. The speech recognition method and apparatus include an artificial intelligence (AI) system and its application, which simulates functions such as recognition and judgment of a human brain using a machine learning algorithm such as deep learning.
    Type: Application
    Filed: March 29, 2021
    Publication date: July 15, 2021
    Inventors: Sung-ja CHOI, Eun-kyoung KIM, Ji-sang YU, Ji-yeon HONG, Jong-youb RYU, Jae-won LEE
  • Patent number: 11035403
    Abstract: A radial force support apparatus includes: a shaft coupled to an impeller and configured to rotate together with the impeller; and a foil radial bearing supporting the shaft. The foil radial bearing includes a top foil disposed on an inner circumferential surface of the foil radial bearing and facing at least a part of an outer circumferential surface of the shaft, and the shaft facing the top foil includes at least one groove provided on the outer circumferential surface of the shaft.
    Type: Grant
    Filed: December 27, 2019
    Date of Patent: June 15, 2021
    Assignee: HANWHA POWERSYSTEMS CO., LTD
    Inventors: Jong Won Choi, Sang Hyeon Park
  • Publication number: 20210151686
    Abstract: A compound of Chemical Formula 1, and an organic photoelectric device, an image sensor, and an electronic device including the same are disclosed: In Chemical Formula 1, each substituent is the same as described in the detailed description.
    Type: Application
    Filed: January 29, 2021
    Publication date: May 20, 2021
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Norihito ISHII, Katsunori SHIBATA, Takkyun RO, Ohkyu KWON, Sang Mo KIM, Kyung Bae PARK, Sung Young YUN, Dong-Seok LEEM, Youn Hee LIM, Yong Wan JIN, Yeong Suk CHOI, Jong Won CHOI, Taejin CHOI, Hyesung CHOI, Chul Joon HEO
  • Patent number: 11002797
    Abstract: The fault diagnosis circuit includes a first line including a first resistor, having one end connected to the positive (+) terminal of a battery, and having the other end connected to a first input unit of an analog to digital converter (ADC); a second line including a second resistor, having one end connected to the positive (+) terminal of the battery, and having the other end connected to a first input unit of a comparator; and a third line including a third resistor, having one end connected to the negative (?) terminal of the battery, having a first other end connected to a second input unit of the ADC, and having a second other end connected to a second input unit of the comparator. A fault in a battery management system can be efficiently diagnosed using a smaller number of elements.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: May 11, 2021
    Assignee: HYUNDAI MOBIS CO., LTD.
    Inventors: Jae-Seong Park, Seulkirom Kim, Jae-Min Park, Yeong-Geun Yeo, Sang-Ho Lee, Jong-Won Choi
  • Publication number: 20210125056
    Abstract: A machine learning apparatus according to an embodiment includes a feature extractor configured to extract features from an object region of an image, a label processor configured to create sentence label embeddings from a sentence label corresponding to the object region, a first training data creator to extract first sub-features from a plurality of first sub-regions created by partitioning the object region, add the sentence label embeddings to the extracted first sub-features, and add the first sub-features added with the sentence label embeddings to the features of the object region, a second training data creator to extract a plurality of second sub-regions along a bounding surface of the object region, create an attention matrix from the second sub-regions, and create a training data by applying the attention matrix to the features of the object region, and a trainer to train an object detection model using the training data.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 29, 2021
    Inventors: Ji-Hoon Kim, Young-Joon Choi, Jong-Won Choi, Byoung-Jip Kim, Seong-Won Bak
  • Publication number: 20210125057
    Abstract: A method for training a deep neural network according to an embodiment includes training a deep neural network model using a first data set including a plurality of labeled data and a second data set including a plurality of unlabeled data, assigning a ground-truth label value to some of the plurality of unlabeled data, updating the first data set and the second data set such that the data to which the ground-truth label value is assigned is included in the first data set, and further training the deep neural network model using the updated first data set and the updated second data set.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 29, 2021
    Inventors: Jong-Won Choi, Young-Joon Choi, Ji-Hoon Kim, Byoung-Jip Kim, Seong-Won Bak
  • Publication number: 20210125000
    Abstract: A method of training a model for object classification and detection includes training a first classification model including a shared feature extractor shared by classification models and a first classifier for outputting a result of an object in a first input image based on feature values of the first input image, training a second classification model including the shared feature extractor and a second classifier for outputting a result about authenticity of a second input image based on feature values of the second input image, and training a third classification model including the shared feature extractor and a third classifier for outputting a classification result about a rotation angle of a third input image on the basis of feature values of the third input image extracted by the shared feature extractor, using a third training image set including images rotated at one or more angles.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 29, 2021
    Inventors: Byoung-Jip Kim, Jong-Won Choi, Young-Joon Choi, Seong-Won Bak, Ji-Hoon Kim
  • Patent number: 10990852
    Abstract: A method of training a model for object classification and detection includes training a first classification model including a shared feature extractor shared by classification models and a first classifier for outputting a result of an object in a first input image based on feature values of the first input image, training a second classification model including the shared feature extractor and a second classifier for outputting a result about authenticity of a second input image based on feature values of the second input image, and training a third classification model including the shared feature extractor and a third classifier for outputting a classification result about a rotation angle of a third input image on the basis of feature values of the third input image extracted by the shared feature extractor, using a third training image set including images rotated at one or more angles.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: April 27, 2021
    Assignee: SAMSUNG SDS CO., LTD
    Inventors: Byoung-Jip Kim, Jong-Won Choi, Young-Joon Choi, Seong-Won Bak, Ji-Hoon Kim
  • Patent number: 10944055
    Abstract: A compound of Chemical Formula 1, and an organic photoelectric device, an image sensor, and an electronic device including the same are disclosed: In Chemical Formula 1, each substituent is the same as described in the detailed description.
    Type: Grant
    Filed: August 10, 2018
    Date of Patent: March 9, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Norihito Ishii, Katsunori Shibata, Takkyun Ro, Ohkyu Kwon, Sang Mo Kim, Kyung Bae Park, Sung Young Yun, Dong-Seok Leem, Youn Hee Lim, Yong Wan Jin, Yeong Suk Choi, Jong Won Choi, Taejin Choi, Hyesung Choi, Chul Joon Heo
  • Patent number: 10937970
    Abstract: A compound of Chemical Formula 1, and a photoelectric device, an image sensor, and an electronic device including the same are disclosed: In Chemical Formula 1, each substituent is the same as defined in the detailed description.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: March 2, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Taejin Choi, Sang Mo Kim, Sung Young Yun, Youn Hee Lim, Katsunori Shibata, Hiromasa Shibuya, Gae Hwang Lee, Norihito Ishii, Dong-Seok Leem, Yong Wan Jin, Yeong Suk Choi, Jong Won Choi, Hyesung Choi
  • Patent number: 10888813
    Abstract: The present invention relates to a wet type dust collector using electrospray and a vortex, the dust collector having a cyclonic structure and removing dust contained in exhaust gas by spraying fine droplets that are generated when high voltage is applied to the dust collector.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: January 12, 2021
    Assignee: KOREA INSTITUTE OF ENERGY RESEARCH
    Inventors: Jong Won Choi, Dae Hun Chung, Jeong Geun Kim, Young Min Woo
  • Publication number: 20200392985
    Abstract: An air foil bearing includes a bearing housing having a cylindrical shape that forms an accommodation space in a middle thereof for a rotating shaft, rotor, or journal; a first foil including a plurality of bump foils, which are arranged along an inner wall surface of the accommodation space of the bearing housing; and a second foil including a plurality of top foils, which are arranged in a circumferential direction along an inner circumference of the bearing housing to correspond to the plurality of bump foils and to support the rotating shaft, rotor, or journal. A portion of at least one of the plurality of top foils of the second foil is thicker than the other top foils of the plurality of top foils.
    Type: Application
    Filed: June 16, 2020
    Publication date: December 17, 2020
    Applicant: HANWHA POWER SYSTEMS CO., LTD.
    Inventors: Tae Wook Lee, Kang Soo Im, Jin Tae Kim, Jong Won Choi
  • Publication number: 20200372368
    Abstract: A semi-supervised learning apparatus includes a backbone network configured to extract one or more feature values from input data, and a plurality of autoencoders as many of which are provided as the number of classes to be classified of the input data, wherein each of the plurality of autoencoders is assigned any one class of the classes to be classified as a target class and learns the one or more feature values according to whether the class, with which the input data is labeled, is identical to the target class.
    Type: Application
    Filed: February 5, 2020
    Publication date: November 26, 2020
    Inventors: Jong-Won CHOI, Young-Joon CHOI, Ji-Hoon KIM, Byoung-Jip KIM
  • Publication number: 20200372280
    Abstract: An image processing apparatus includes a superpixel extractor configured to extract a plurality of superpixels from an input original image, a backbone network including N feature extracting layers (here, N is a natural number of two or more) which divide the input original image into grids including a plurality of regions and generate an output value including a feature value for each of the divided regions, and a superpixel pooling layer configured to generate a superpixel feature value corresponding to each of the plurality of superpixels using a first output value to an Nth output value output from each of the N feature extracting layers.
    Type: Application
    Filed: February 5, 2020
    Publication date: November 26, 2020
    Inventors: Jong-Won CHOI, Young-Joon CHOI, Ji-Hoon KIM, Byoung-Jip KIM
  • Publication number: 20200332830
    Abstract: A radial force support apparatus includes: a shaft coupled to an impeller and configured to rotate together with the impeller; and a foil radial bearing supporting the shaft. The foil radial bearing includes a top foil disposed on an inner circumferential surface of the foil radial bearing and facing at least a part of an outer circumferential surface of the shaft, and the shaft facing the top foil includes at least one groove provided on the outer circumferential surface of the shaft.
    Type: Application
    Filed: December 27, 2019
    Publication date: October 22, 2020
    Applicant: HANWHA POWERSYSTEMS CO., LTD
    Inventors: Jong Won CHOI, Sang Hyeon Park
  • Publication number: 20200332831
    Abstract: A thrust supporting apparatus includes: a thrust runner configured to rotate integrally with a shaft; and a foil thrust bearing supporting an axial load of the shaft, the axial load being transmitted from the thrust runner. The foil thrust bearing includes a top foil facing a first surface of the thrust runner, and the thrust runner comprises first one or more grooves formed on the first surface.
    Type: Application
    Filed: December 27, 2019
    Publication date: October 22, 2020
    Applicant: HANWHA POWERSYSTEMS CO., LTD
    Inventors: Jong Won CHOI, Sang Hyeon PARK
  • Publication number: 20200134455
    Abstract: An apparatus and method for training a deep learning model are provided. According to the disclosed embodiments, a deep learning model may be trained using learning data regarding problems of various fields so that there is an ample amount of data on which the model is trained and the performance of the trained model can be improved.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 30, 2020
    Inventors: Young-Joon Choi, Jong-Won Choi, Ji-Hoon Kim
  • Publication number: 20200134454
    Abstract: An apparatus and a method for training a deep learning model are disclosed. According to the disclosed embodiments, performance of deep learning can be enhanced by performing bidirectional training of learning information on the target dataset on the basis of the source dataset and learning information on the source dataset on the basis of the target dataset.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 30, 2020
    Inventors: Jong-Won Choi, Ji-Hoon Kim, Young-Joon Choi