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1.
公开(公告)号:US20240176325A1
公开(公告)日:2024-05-30
申请号:US18209918
申请日:2023-06-14
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.
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2.
公开(公告)号:US20250069195A1
公开(公告)日:2025-02-27
申请号:US18757222
申请日:2024-06-27
Inventor: Hyun Yong Lee , Seok Kap Ko , Nack Woo Kim , JUNGI LEE , YUMIN HWANG
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.
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公开(公告)号:US20240062501A1
公开(公告)日:2024-02-22
申请号:US18339444
申请日:2023-06-22
Inventor: Hyun Yong LEE , Nack Woo KIM , Byung-Tak LEE , JUNGI LEE
Abstract: Provided are a method and apparatus capable of improving the feature extraction required for image stitching, the computational efficiency of homography calculation based on the feature extraction, and the performance of image stitching. The image stitching method according to the present invention includes: based on two images and additional information as needed, calculating an overlapping area in which two images overlap each other; masking an area in which the two images do not overlap each other based on information about the calculated overlapping area to provide masked images; extracting significant features to be used for image stitching from the masked images; calculating a homography to be used for image transformation based on the extracted features; and transforming and stitching the images based on the calculated homography.
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