Patents by Inventor Da Wun JUNG

Da Wun JUNG 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).

  • Method and system for anomaly detection based on time series
    Patent number: 11973672
    Abstract: An anomaly detection method includes collecting and preprocessing time series data every preset detection cycle; detecting an anomaly in time series data preprocessed for a current detection cycle using a deep learning model trained with an unsupervised learning scheme using features of time series data of a previous detection cycle; retraining the deep learning model by further using the time series data preprocessed for at least one detection cycle included in the current learning cycle; and detecting an anomaly in time series data collected and preprocessed for a detection cycle after the current learning cycle using the retrained deep learning model.
    Type: Grant
    Filed: May 11, 2022
    Date of Patent: April 30, 2024
    Assignee: NAVER CLOUD CORPORATION
    Inventors: Choonhee Lee, Sejun Kim, Da Wun Jung, Heejin Jung
  • METHOD AND SYSTEM FOR ANOMALY DETECTION BASED ON TIME SERIES
    Publication number: 20220368614
    Abstract: An anomaly detection method includes collecting and preprocessing time series data every preset detection cycle; detecting an anomaly in time series data preprocessed for a current detection cycle using a deep learning model trained with an unsupervised learning scheme using features of time series data of a previous detection cycle; retraining the deep learning model by further using the time series data preprocessed for at least one detection cycle included in the current learning cycle; and detecting an anomaly in time series data collected and preprocessed for a detection cycle after the current learning cycle using the retrained deep learning model.
    Type: Application
    Filed: May 11, 2022
    Publication date: November 17, 2022
    Inventors: Choonhee LEE, Sejun KIM, Da Wun JUNG, Heejin JUNG