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公开(公告)号：US11320192B2
公开(公告)日：2022-05-03
申请号：US16849209
申请日：2020-04-15
发明人： Chomin Lee , Byoungmok Kim , Oungu Lee , Jeonghyun Lee , Dongyeong Kim , Minseok Choi , Yang-yeol Gu , Ae-ryun Kim , Yountae Shin , Donghyun Lee , Seonju Lee , Jaemin Lee
IPC分类号： F25D23/02
摘要： A refrigerator including: a main body forming a storage compartment and a door provided to open and close the storage compartment, wherein the door includes a door frame, a cover arranged in front of the door frame and including a cover fixer, and a door panel arranged in front of the cover, the door panel including a first fixer and a second fixer on a rear surface of the door panel. When the door panel is coupled to a front side of the cover, the first fixer is coupled to the door frame and the second fixer is coupled to the cover.
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公开(公告)号：US11048179B2
公开(公告)日：2021-06-29
申请号：US16733325
申请日：2020-01-03
发明人： Ho Yu , Jinhwan Lee , Minseok Choi , Jeonggil Kim , Jongbin Park , Inho Choi
IPC分类号： G03F7/20
摘要： An apparatus for removing residues from a source vessel in an extreme ultraviolet lithography device, the apparatus including a frame portion, and a heater structure on the frame portion, the heater structure having a head on the frame portion, the head being rotatable in at least one shaft direction, and a heater on the head to dissipate heat toward residues in the source vessel, the heater to apply temperature of 200° C. to 800° C.
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公开(公告)号：US10825139B2
公开(公告)日：2020-11-03
申请号：US16781083
申请日：2020-02-04
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US11720997B2
公开(公告)日：2023-08-08
申请号：US16599291
申请日：2019-10-11
发明人： Minseok Choi , Kwangpyo Choi , Jaehwan Kim
CPC分类号： G06T3/4046 , G06N3/02 , H04N19/33 , H04N19/42 , H04N19/85
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions to obtain image data corresponding to a first image that is downscaled from an original image by using first parameters of a first filter kernel included in a first deep neural network (DNN), reconstruct a second image corresponding to the first image, based on the obtained image data, and obtain a third image that is upscaled from the reconstructed second image, by performing an operation between the reconstructed second image and second parameters of a second filter kernel included in a second DNN corresponding to the first DNN. Each of the second parameters is represented by a product of a scale factor and one among integer values, and each of the integer values is 0 or ±2n, where n is an integer.
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公开(公告)号：US20220138904A1
公开(公告)日：2022-05-05
申请号：US17575691
申请日：2022-01-14
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US20210209374A1
公开(公告)日：2021-07-08
申请号：US17140706
申请日：2021-01-04
发明人： Gilwoo Song , Jaehyun Kwon , Jinwoo Nam , Heeseung Shin , Minseok Choi
摘要： A controlling method of an electronic apparatus may include: obtaining image data and metadata regarding the image data, the image data comprising a first image frame and a second image frame that is subsequent to the first image frame; obtaining information regarding a region of interest of the first image frame by inputting the first image frame to a first neural network model; obtaining a similarity between the first image frame and the second image frame based on motion vector information included in the metadata; and detecting whether there is a manipulated area in the second image frame based on the similarity.
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公开(公告)号：US10825205B2
公开(公告)日：2020-11-03
申请号：US16793605
申请日：2020-02-18
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10817989B2
公开(公告)日：2020-10-27
申请号：US16831521
申请日：2020-03-26
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US10191728B2
公开(公告)日：2019-01-29
申请号：US14880640
申请日：2015-10-12
发明人： Sung Hwan Lee , Minseok Choi , Moonhyun Jung
摘要： A mobile device based on an Android™ operating system configure to reduce the size of downloaded Android™ application packages. The mobile device comprises a storage device configured to store data, transceiver circuitry for downloading an Android™ application package, and a package manager. The package manager analyzes resources in the downloaded Android™ application package; identifies unnecessary resources that are not suitable for use by the mobile device; deletes the unnecessary resources; generates from the remaining resources an optimized Android™ application package having a smaller size than the downloaded Android™ application package; and stores the optimized Android™ application package in the storage device under the same name as the downloaded Android™ application package. The package manager also identifies an original security certificate in the downloaded Android™ application package; and generates from the optimized Android™ application package a new security certificate. The package manager uses the original security certificate and the new security certificate to download an updated version of the Android™ application package.
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10.发明授权公开(公告)号：US11599031B2
公开(公告)日：2023-03-07
申请号：US17555985
申请日：2021-12-20
发明人： Sunghyup Kim , Ho Yu , Jeonggil Kim , Minseok Choi
摘要： A target debris collection device for extreme ultraviolet (EUV) light source apparatus, includes a baffle body extending within an EUV vessel between a collector and an outlet port of the EUV vessel to allow EUV light reflected from the collector to pass through an internal transmissive region thereof, a discharge plate provided in a first end portion of the baffle body adjacent to the collector to collect the target material debris on an inner surface of the baffle body, a guide structure to guide the target material debris collected in the discharge plate to a collection tank, and a first heating member provided in the guide structure to prevent the target material debris from being solidified.
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