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1.
公开(公告)号:US12198198B2
公开(公告)日:2025-01-14
申请号:US17839191
申请日:2022-06-13
Inventor: Yong-Gu Lee , Sungjae Lee , Hojeong Shin , Jinsu Kim
Abstract: The present disclosure relates to a method and apparatus for split liability assessment of a car accident video using deep learning. The method for split liability assessment of a car accident video using deep learning according to an embodiment of the present disclosure may include: (a) obtaining car accident video data; and (b) outputting accidental split liability information by applying the obtained car accident video data to an accidental split liability determination model.
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公开(公告)号:US20240414928A1
公开(公告)日:2024-12-12
申请号:US18437231
申请日:2024-02-08
Applicant: Gwangju Institute Of Science And Technology
Inventor: Kwang Hee LEE , Ju Hyeon KIM
Abstract: A perovskite photoactive composite layer, a preparation method thereof, and a perovskite solar cell comprising the same are provided. The perovskite photoactive composite layer can induce smooth charge transport when applied to a solar cell by means of a two-dimensional perovskite photoactive layer grown by recrystallization in the vertical direction, and can passivate surface defects in two-dimensional perovskites and prevent the release of halogen atoms through effective passivation by means of a passivation layer consisting of an organic monomolecular compound containing zwitterions, thereby improving the photostability of the solar cell.
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公开(公告)号:US20240378701A1
公开(公告)日:2024-11-14
申请号:US18652278
申请日:2024-05-01
Inventor: Seokpyo HONG , Bochang MOON , Nahyup KANG , Hajin CHOI , Inwoo HA
Abstract: An electronic device and operating method for removing a noise of an image are disclosed. A method of operating an electronic device includes generating a common input including an initial image and geometry buffer (G-buffer) images rendered according to a view point of a current frame, generating a third input and a fourth input based on a first input and a second input, determining a bandwidth for filtering noise of the initial image based on the common input and one of the third input and the fourth input, and outputting a target image obtained by removing noise from the initial image of the current frame based on the common input, the third input, the fourth input, and the bandwidth.
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公开(公告)号:US12140562B2
公开(公告)日:2024-11-12
申请号:US17380703
申请日:2021-07-20
Inventor: Sung Yang , Taek Eon Jeong , Jae Hyeon Ahn , Yu Gyung Jung
IPC: G01N27/447
Abstract: The present disclosure relates to a microorganism detection apparatus using a dielectrophoresis (DEP) force. A microorganism detection apparatus according to one embodiment of the present disclosure may include a detection unit that detects microbial particles using a DEP force corresponding to latex particles combined with the microbial particles.
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公开(公告)号:US20240354565A1
公开(公告)日:2024-10-24
申请号:US18434417
申请日:2024-02-06
Inventor: Hong Kook KIM , Geon Woo LEE
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: The present disclosure relates to a method for generating a personalized HRTF using a neural network model having a one-to-many structure. A method for generating a personalized HRTF according to an embodiment of the present disclosure includes: training a neural network model using multi-angle Head-Related Transfer Functions (HRTF) labeled to body information of a learning object; and obtaining multi-angle HRTFs at a time by inputting body information of a target user into the trained neural network model.
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6.
公开(公告)号:US20240330648A1
公开(公告)日:2024-10-03
申请号:US18596994
申请日:2024-03-06
Applicant: Gwangju Institute of Science and Technology
Inventor: Hee Jun JUNG , Kang Il KIM , Do Yeon KIM
Abstract: A method for training a student network including at least one or more of a transformer neural network by using knowledge distillation in a teacher network including at least one or more of the transformer neural network is disclosed. The method includes: pre-training the teacher network using a training data and fine tuning the trained teacher network; copying a weight parameter of a bottom layer of the teacher network to the student network; and performing the knowledge distillation to the student network through the fine-tuned teacher network. The performing the knowledge distillation includes: extracting a feature structure from the result value of a layer of the fine-tuned teacher network; extracting a feature structure from the result value of a layer of the student network; and adjusting the feature structure of the extracted student network based on the feature structure of the extracted teacher network.
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公开(公告)号:US20240316066A1
公开(公告)日:2024-09-26
申请号:US18676998
申请日:2024-05-29
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor: Darren WILLIAMS , Hyunju LEE , Da-Woon JUNG , Eun-Mi JANG , Jihee SOH
IPC: A61K31/58 , A61K31/192 , A61K31/47 , A61K31/506 , A61K31/5375 , A61K45/06 , A61P35/00 , C12Q1/6886 , G01N33/50
CPC classification number: A61K31/58 , A61K31/192 , A61K31/47 , A61K31/506 , A61K31/5375 , A61K45/06 , A61P35/00 , C12Q1/6886 , G01N33/5011 , G01N33/5023 , G01N2333/91215
Abstract: The present invention relates to a pharmaceutical composition for preventing or treating cancer comprising a PIP4K2C inhibitor as an active ingredient. The present invention provides a composition for efficient and radical treatment of cancer by discovering PIP4K2C as a new treatment target for cancer, which exhibits a high recurrence rate and is difficult to radically treat, and selecting a drug that inhibits PIP4K2C among known anticancer drugs.
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8.
公开(公告)号:US20240311657A1
公开(公告)日:2024-09-19
申请号:US18424776
申请日:2024-01-27
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor: Hojung NAM , Hansol LEE
Abstract: Provided are an apparatus and method for determining antimicrobial peptide function using artificial intelligence. The artificial intelligence, which is a bidirectional encoder representation from transformer (BERT)-based model that is pre-trained through unsupervised learning using large amounts of protein sequences may be additionally trained (fine-tuned) using labeled antimicrobial peptide and non-antimicrobial peptide sequences to improve accuracy of determining the peptide function.
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公开(公告)号:US20240304737A1
公开(公告)日:2024-09-12
申请号:US18649202
申请日:2024-04-29
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor: Kwang Hee LEE , Hong Kyu KANG , Soo Young JANG , Seok KIM , Hyun Min PARK , Jong Hoon LEE
IPC: H01L31/0224 , H01L31/0236 , H01L31/20
CPC classification number: H01L31/022425 , H01L31/02366 , H01L31/208
Abstract: Provided in one embodiment of the present invention is a solar cell upper electrode which is positioned on a photoactive layer and which includes a conductive polymer layer, wherein ionic liquid comes in contact with the surface of the conductive polymer layer so as to the post-treated, and, due to the post-treatment, an ion-exchange reaction occurs only in the upper area of the conductive upper electrode according to an embodiment of the present invention is not gelated so as to improve electrode performance, and does not oxidize a photoactive layer positioned under the electrode so as to be usable as an upper electrode, and thus can improve the performance of a solar cell to which the electrode is applied.
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公开(公告)号:US20240233085A9
公开(公告)日:2024-07-11
申请号:US18376891
申请日:2023-10-05
Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor: Bochang MOON , Jeongmin GU
CPC classification number: G06T5/50 , G06T5/002 , G06T2207/10024 , G06T2207/20084 , G06T2207/20212
Abstract: The present disclosure relates to an apparatus and method for improving image quality by combining an unbiased image and a biased image using a James-Stein combiner. An apparatus for improving image quality using a James-Stein combiner according to the present disclosure includes an unbiased image buffer configured to output an unbiased image block, a biased image buffer configured to output a biased image block, a sample variance buffer configured to output a sample variance of the unbiased image, an artificial neural network model configured to derive a variance weight per pixel, a variance estimator configured to output a variance estimate of the unbiased image block, and a James-Stein combiner configured to locally combine the biased image block, the unbiased image block, and the variance estimate of the unbiased image block by applying a James-Stein combination equation.
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