公开(公告)号：US20250069195A1

公开(公告)日：2025-02-27

申请号：US18757222

申请日：2024-06-27

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Yong Lee ,  Seok Kap Ko ,  Nack Woo Kim ,  JUNGI LEE ,  YUMIN HWANG

IPC: G06T5/60 ,  G06T5/73

Abstract: The present invention relates to a deblurring method and apparatus based on unsupervised learning and latent space processing. An unsupervised learning method of a deblurring model according to the present invention includes inputting an input image into a deblurring model to generate a restored image, calculating an error between the input image and the restored image, and training the deblurring model based on the error. A latent space processing-based deblurring method according to the present invention includes inputting a deblurring target image into an encoder, applying an image filtering technique to an output of the encoder, and inputting the output of the encoder, to which the image filtering technique has been applied, into a decoder to generate a deblurred image.

公开(公告)号：US10674077B2

公开(公告)日：2020-06-02

申请号：US15794191

申请日：2017-10-26

Applicant: Electronics and Telecommunications Research Institute

Inventor： Nack Woo Kim ,  Byung Tak Lee ,  Sei Hyoung Lee ,  Hyun Yong Lee ,  Hyung Ok Lee ,  Young Sun Kim

IPC: H04N5/232 ,  H04N5/247 ,  H04N5/445 ,  G06K9/00 ,  H04N21/854 ,  G06K9/32 ,  G06T15/20 ,  G06K9/62 ,  H04N21/81 ,  G01S19/01 ,  G06T3/40 ,  G06T19/00

Abstract: A mixed reality content providing apparatus is disclosed. The mixed reality content providing apparatus may recognize an OOI included in a 360-degree VR image to generate metadata of the OOI and may provide a user with mixed reality content where the metadata is overlaid on the 360-degree VR image.

公开(公告)号：US12222798B2

公开(公告)日：2025-02-11

申请号：US17965537

申请日：2022-10-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Nack Woo Kim ,  Byung Tak Lee ,  Jun Gi Lee ,  Hyun Yong Lee

IPC: G06F11/00 ,  G06F18/2132 ,  G06N3/04 ,  G06N3/08

Abstract: A method of managing system health is provided. The method includes calculating a reconstruction missing value with respect to the second domain data, determining a degree of degradation of the system on the basis of the reconstruction missing value, predicting a second remaining useful life (RUL) prediction value {tilde over (y)} of the system on the basis of the second domain data, based on a result of the determination of the degree of degradation, optimizing a degradation compensation function on the basis of a distribution of a first RUL prediction value y of the system predicted based on the first domain data in a pre-learning process of the diagnosis model, and predicting a final RUL prediction value {tilde over (y)}′ obtained by compensating for the second RUL prediction value {tilde over (y)}, by using the optimized degradation compensation function.

公开(公告)号：US20240176325A1

公开(公告)日：2024-05-30

申请号：US18209918

申请日：2023-06-14

Applicant: Electronics and Telecommunications Research Institute

Inventor： Nack Woo Kim ,  Byung-Tak Lee ,  JUNGI LEE ,  Hyun Yong Lee ,  Yumin HWANG

IPC: G05B19/4065

CPC classification number: G05B19/4065 ,  G05B2219/50185

Abstract: The present invention relates to a system and method for predicting AI useful life based on accelerated life testing data. The system for predicting AI useful life based on accelerated life testing data according to the present invention includes a feature extraction unit configured to receive accelerated life training data and actual operation testing result and encodes the received accelerated life training data and actual operation testing result into a latent variable, a regression network configured to be branched for each domain of data received by the feature extraction unit, and a domain discrimination network configured to map the accelerated life training data and actual operation testing result to the latent variables in a latent space.