Patents by Inventor Dong Hyun JUN

Dong Hyun JUN 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: 12134268
    Abstract: The inventive concept provides an inkjet printing method. The inkjet printing method for discharging an ink on a substrate using a head having a plurality of nozzles formed thereon includes determining a grade of nozzles by measuring a discharge performance of the nozzles, which is a grading step; selecting a use nozzle that can participate in printing the substrate among the nozzles based on the grade determined at the grading step, which is a nozzle selecting step; and discharging the ink on the substrate using at least one nozzle among use nozzles, which is a printing step.
    Type: Grant
    Filed: July 19, 2022
    Date of Patent: November 5, 2024
    Assignee: SEMES CO., LTD.
    Inventors: Dong Hyun Jun, Woon Sang Baek, Sang Hyuk Yun, Keun Hwa Yang, Hyung Suk Lee, Cheol Hyung Cho
  • Publication number: 20240142936
    Abstract: An anomaly detection method capable of minimizing the consumption of computing resources and time is provided. The anomaly detection method includes: learning a first classifier, which includes an encoder and a decoder, using a plurality of training data, which are classified into a plurality of first subsets; extracting features from the plurality of training data by computing the plurality of training data with the encoder of the learned first classifier; reconstructing the plurality of training data into a plurality of second subsets by clustering the plurality of training data based on the extracted features; learning a plurality of second classifiers, which correspond to the plurality of second subsets, using the second subsets; and detecting any abnormality in input data using the plurality of second classifiers.
    Type: Application
    Filed: February 3, 2023
    Publication date: May 2, 2024
    Inventor: Dong Hyun Jun
  • Publication number: 20230196078
    Abstract: The present invention provides an apparatus and method for diagnosing semiconductor equipment for analyzing a determination result and a cause of a defect for a substrate using a deep learning algorithm and explainable AI. The semiconductor equipment diagnosis method comprises acquiring time series data for a parameter related to a substrate treating process of a substrate treating apparatus, generating table information based on the time series data, converting the table information into image information based on data included in the table information, extracting and classifying a feature from the image information, determining whether a substrate treated by the substrate treating apparatus is good or defective based on the feature, and analyzing a cause of a defect of the substrate in response to determining that the substrate is defective.
    Type: Application
    Filed: October 21, 2022
    Publication date: June 22, 2023
    Inventor: Dong Hyun JUN
  • Publication number: 20230035323
    Abstract: The inventive concept provides an inkjet printing method. The inkjet printing method for discharging an ink on a substrate using a head having a plurality of nozzles formed thereon includes determining a grade of nozzles by measuring a discharge performance of the nozzles, which is a grading step; selecting a use nozzle that can participate in printing the substrate among the nozzles based on the grade determined at the grading step, which is a nozzle selecting step; and discharging the ink on the substrate using at least one nozzle among use nozzles, which is a printing step.
    Type: Application
    Filed: July 19, 2022
    Publication date: February 2, 2023
    Applicant: SEMES CO., LTD.
    Inventors: Dong Hyun JUN, Woon Sang BAEK, Sang Hyuk YUN, Keun Hwa YANG, Hyung Suk LEE, Cheol Hyung CHO