Patents by Inventor Myung-ha JANG

Myung-ha JANG 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 of stabilizing precursor fiber for preparing carbon fiber and method of preparing carbon fiber using the same
    Patent number: 11976386
    Abstract: A method of preparing a carbon fiber including: preparing a precursor fiber for preparing a carbon fiber; and stabilizing the precursor fiber. The stabilization of the precursor fiber includes a first stabilization phase, a second stabilization phase, a third stabilization phase, and a fourth stabilization phase, which are set at four different temperatures between a temperature at which heat starts to be generated from the stabilization reaction of the precursor fiber and a temperature at which the generation of heat is maximized. Ozone gas is input while at least one phase of the third stabilization phase and the fourth stabilization phase is carried out.
    Type: Grant
    Filed: April 23, 2019
    Date of Patent: May 7, 2024
    Assignee: LG CHEM, LTD.
    Inventors: Jae Gil Choi, Ji Hye Shin, Joon Hee Cho, Su Jin Kim, Ki Hwan Kim, Il Ha Lee, Myung Su Jang
  • Methods for automated controversy detection of content
    Patent number: 10949620
    Abstract: A probabilistic framework to detect controversy on the web. The prior kNN-WC algorithm is recast into a theoretical framework and a new language model introduced. Language models are constructed that are used to calculate probabilities. The probabilities are compared to determine whether or not a certain document is controversial.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: March 16, 2021
    Assignee: UNIVERSITY OF MASSACHUSETTS
    Inventors: Shiri Dori-Hacohen, James Allan, John Foley, Myung-ha Jang
  • METHODS FOR AUTOMATED CONTROVERSY DETECTION OF CONTENT
    Publication number: 20190294677
    Abstract: A probabilistic framework to detect controversy on the web. The prior kNN-WC algorithm is recast into a theoretical framework and a new language model introduced. Language models are constructed that are used to calculate probabilities. The probabilities are compared to determine whether or not a certain document is controversial.
    Type: Application
    Filed: October 6, 2017
    Publication date: September 26, 2019
    Inventors: Shiri DORI-HACOHEN, James ALLAN, John FOLEY, Myung-ha JANG