Patents by Inventor Myeong Seon GIL

Myeong Seon GIL 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).

  • Variable-size sampling method for supporting uniformity confidence under data-streaming environment
    Patent number: 10673766
    Abstract: Disclosed is a variable-size sampling method under a data-streaming environment, including: calculating a maximum window size that satisfies a lower limitation of a predetermined uniformity confidence level at all times; inputting a data stream to be sampled; comparing a data stream length input until a current time point with the maximum window size; inspecting a sample size and a sampling fraction if the maximum window size is larger than the data stream length; performing sampling by generating a slot to increase the sample size if the current sample size is smaller than a predetermined percentage (P %) of the data stream; and directly performing sampling without generating a slot if the current sample size is equal to or larger than the predetermined percentage (P %) of the data stream. As a result, degradation of uniformity confidence during variable-size sampling under a real-time streaming environment can be prevented to improve sampling performance.
    Type: Grant
    Filed: April 17, 2018
    Date of Patent: June 2, 2020
    Assignee: KANGWON NATIONAL UNIVERSITY University-Industry Cooperation Foundation
    Inventors: Ha Jin Kim, Myeong Seon Gil, Yang Sae Moon
  • VARIABLE-SIZE SAMPLING METHOD FOR SUPPORTING UNIFORMITY CONFIDENCE UNDER DATA-STREAMING ENVIRONMENT
    Publication number: 20190124014
    Abstract: Disclosed is a variable-size sampling method under a data-streaming environment, including: calculating a maximum window size that satisfies a lower limitation of a predetermined uniformity confidence level at all times; inputting a data stream to be sampled; comparing a data stream length input until a current time point with the maximum window size; inspecting a sample size and a sampling fraction if the maximum window size is larger than the data stream length; performing sampling by generating a slot to increase the sample size if the current sample size is smaller than a predetermined percentage (P %) of the data stream; and directly performing sampling without generating a slot if the current sample size is equal to or larger than the predetermined percentage (P %) of the data stream. As a result, degradation of uniformity confidence during variable-size sampling under a real-time streaming environment can be prevented to improve sampling performance.
    Type: Application
    Filed: April 17, 2018
    Publication date: April 25, 2019
    Inventors: Ha Jin KIM, Myeong Seon GIL, Yang Sae MOON