Patents by Inventor Dae Hee Yun

Dae Hee Yun 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).

  • Publication number: 20240074258
    Abstract: An electronic device includes a display device, which may be fabricated using a described method. The display device includes a glass substrate including a first surface, a second surface opposite the first surface, and a side surface between the first surface and the second surface, an outermost structure on the first surface of the glass substrate and located adjacent to an edge of one side of the glass substrate, and a display area including a plurality of light emitting areas on the first surface of the glass substrate and located farther from the edge of the one side of the glass substrate than the outermost structure is. A minimum distance from the side surface of the glass substrate to the outermost structure is equal to 130 ?m or less.
    Type: Application
    Filed: May 5, 2023
    Publication date: February 29, 2024
    Inventors: Wan Jung KIM, Dong Jo KIM, Sun Hwa KIM, Young Ji KIM, Chang Sik KIM, Kyung Ah NAM, Hyo Young MUN, Yong Seung PARK, Yi Seul UM, Dae Sang YUN, Kwan Hee LEE, So Young LEE, Young Hoon LEE, Young Seo CHOI, Sun Young KIM, Ji Won SOHN, Do Young LEE, Seung Hoon LEE
  • Publication number: 20230351107
    Abstract: A method for providing a style analysis model according to an embodiment of the present invention may comprise the operations of: acquiring a document written by a first user from an SNS used by the first user of an interior decoration service; determining a first text included in the document; determining a predetermined number of second texts in the first text of the document; generating a first feature vector configured on the basis of a frequency by which each of the second texts is included in the document; determining the style of the first user by inputting the first feature vector into a machine learning-based neural network model in which a correlation is pre-learned to derive a class specifying an interior decoration style for a predetermined feature vector; and recommending object information to which metadata of the style is mapped, on the basis of the determined style, when the first user requests information on a predetermined object provided by the interior decoration service.
    Type: Application
    Filed: July 11, 2023
    Publication date: November 2, 2023
    Inventors: Yun Ah BAEK, Dae Hee YUN
  • Publication number: 20230351473
    Abstract: A method for providing a style analysis model according to one embodiment of the present invention may comprise: obtaining a training document including text data written by a user and determining a first text included in the training document; determining a predetermined number of second texts from among the first text of the training document; generating a first feature vector configured on the basis of the number of times each second text is included in training documents written by each user; generating, for each class, a second feature vector on the basis of the number of times each style-specific text is included in all the obtained training documents; labeling the first feature vector with a class of a second feature vector that is most similar to the first feature vector; and generating and training a machine learning-based neural network model that derives a correlation between the first feature vector and the class labeled in the first feature vector.
    Type: Application
    Filed: July 11, 2023
    Publication date: November 2, 2023
    Inventors: Yun Ah BAEK, Dae Hee YUN
  • Publication number: 20230342834
    Abstract: An object recommendation method performed by an object recommendation device, according to one embodiment of the present invention, may comprise the steps of: obtaining big data consisting of information on users using an interior design service, identification information of interior design objects placed by the users, and object information including the styles of the objects; classifying groups of interior design service users on the basis of the user information included in the big data; aggregating, on the basis of the object information, the number of placements of each style for each style of objects placed in virtual spaces by the users in the groups, and determining the style of objects that is most aggregated in the groups; determining, on the basis of information of a first user using the interior design service, a first group to which the first user belongs from among the classified groups; and when information on a predetermined object is requested in the virtual space of the first user, filterin
    Type: Application
    Filed: June 12, 2023
    Publication date: October 26, 2023
    Inventor: Dae Hee YUN
  • Publication number: 20230316689
    Abstract: According to one embodiment of the present invention, an object recommendation method performed by an object recommendation device may comprise: a step of acquiring big data composed of information on a user using an interior design service, identification information of an interior design object placed by the user, and object information including styles of an object; a step of determining styles of an existing object placed in a virtual space by a first user using the interior design service; an operation of adding up a placement count of each style for the styles of the existing object; and a step of, in a case in which information with respect to a predetermined object to be newly placed in the virtual space of the first user is requested, adjusting a recommendation ratio of each style on the basis of the placement count of each style and recommending the predetermined object.
    Type: Application
    Filed: June 8, 2023
    Publication date: October 5, 2023
    Inventor: Dae Hee YUN
  • Publication number: 20230222829
    Abstract: According to one embodiment of the present invention, a symbol analysis device included in a facility floor plan can perform the operations of: acquiring a plurality of facility floor plans; detecting a rectangle included in each of the plurality of facility floor plans and an arc connected to the rectangle; specifying a window area and a door area on the basis of the rectangle and the arc; labeling pixels of the specified window area as the class of a window, and labeling pixels of the specified door area as the class of a door; and inputting the plurality of facility floor plans and data labeled in pixel units into a neural network model designed on the basis of a predetermined image segmentation algorithm, so as to learn the weight of the neural network model that derives the correlation between positions of the labeled pixels and the classes of windows and doors included in the plurality of facility floor plans, and thus a neural network model that determines the position and the class of windows and door
    Type: Application
    Filed: January 19, 2023
    Publication date: July 13, 2023
    Inventors: Dae Hee YUN, Yun Ah BAEK
  • Publication number: 20230153889
    Abstract: A product recommendation device based on image database analysis, according to one embodiment of the present invention, can perform the operations of: acquiring, through a processor, an image database including an image file for products arranged in a predetermined space; extracting metadata that specifies space use, types of objects, space style, and color-suitable color arrangement, which are included in the image file, so as to map the metadata to the image file or product information about the products; determining the category of at least any one from among the space use, types of objects, space style, and color arrangement; and searching the image database for the image file or the product information mapped to the metadata corresponding to the determined category, so as to recommend same.
    Type: Application
    Filed: January 19, 2023
    Publication date: May 18, 2023
    Inventors: Yun Ah BAEK, Dae Hee YUN
  • Publication number: 20230154050
    Abstract: A spatial image analysis-based color scheme recommendation apparatus according to an embodiment of the present invention comprises a processor, wherein the processor may perform: an operation of receiving an input of a spatial image; an operation of determining types of colors constituting the spatial image and a ratio of respective types of colors used in the spatial image; an operation of selecting a first color that is a part of the colors constituting the spatial image in an increasing order of the ratio of colors used in the spatial image; an operation of determining an element value in which each of the first colors is located on a predetermined color image scale using soft and dynamic as elements; an operation of calculating a combined color scheme element value by applying a weight to the element value of each first color using, as a weight, a ratio of each first color used in the spatial image; and an operation of recommending a color scheme group including a color scheme element value in a color ima
    Type: Application
    Filed: January 19, 2023
    Publication date: May 18, 2023
    Inventor: Dae Hee YUN
  • Patent number: 9174926
    Abstract: The present invention relates to norbornene-ester-based derivatives, to a method for preparing same, and to the uses thereof. This compound may be used as a plasticizer which can replace a phthalate-based plasticizer.
    Type: Grant
    Filed: February 6, 2015
    Date of Patent: November 3, 2015
    Assignees: Sangmyung University Seoul Industry-Academic Cooperation Foundation, Korea Research Institute of Chemical Technology
    Inventors: Ju Hui Kang, Je Wan Woo, Yong Sung Park, Hyun Chul Oh, Jun Seong Park, Yi Wen Jin, Dae Hee Yun, Sang Jin Ko, Kun Wu Chung, Yeong Un Kim, Nam Kyun Kim
  • Publication number: 20150152039
    Abstract: The present invention relates to norbornene-ester-based derivatives, to a method for preparing same, and to the uses thereof. This compound may be used as a plasticizer which can replace a phthalate-based plasticizer.
    Type: Application
    Filed: February 6, 2015
    Publication date: June 4, 2015
    Inventors: Ju Hui KANG, Je Wan WOO, Yong Sung PARK, Hyun Chul OH, Jun Seong PARK, Yi Wen JIN, Dae Hee YUN, Sang Jin KO, Kun Wu CHUNG, Yeong Un KIM, Nam Kyun KIM
  • Patent number: 9040737
    Abstract: The present invention relates to norbornene-ester-based derivatives, to a method for preparing same, and to the uses thereof. This compound may be used as a plasticizer which can replace a phthalate-based plasticizer.
    Type: Grant
    Filed: March 22, 2012
    Date of Patent: May 26, 2015
    Assignees: Sangmyung University Seoul Industry-Academy Cooperation Foundation, Korea Research Institute of Chemical Technology
    Inventors: Ju Hui Kang, Je Wan Woo, Yong Sung Park, Hyun Chul Oh, Jun Seong Park, Yi Wen Jin, Dae Hee Yun, Sang Jin Ko, Kun Wu Chung, Yeong Un Kim, Nam Kyun Kim
  • Publication number: 20140018568
    Abstract: The present invention relates to norbornene-ester-based derivatives, to a method for preparing same, and to the uses thereof. This compound may be used as a plasticizer which can replace a phthalate-based plasticizer.
    Type: Application
    Filed: March 22, 2012
    Publication date: January 16, 2014
    Applicant: KOREA RESEARCH INSTITUTE OF CHEMICAL TECHNOLOGY
    Inventors: Ju Hui Kang, Je Wan Woo, Yong Sung Park, Hyun Chul Oh, Jun Seong Park, Yi Wen Jin, Dae Hee Yun, Sang Jin Ko, Kun Wu Chung, Yeong Un Kim, Nam Kyun Kim