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公开(公告)号：US20230414171A1
公开(公告)日：2023-12-28
申请号：US18244064
申请日：2023-09-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Minseok CHOI , Jaehwan LEE
CPC classification number: A61B5/486 , A61B5/4809 , A61B5/4815 , A61B5/11 , G16H20/70 , G16H10/60 , A61B5/742 , A61B5/681 , A61B2562/0219
Abstract: A method for providing information for improving sleep quality, and an electronic device for supporting same are disclosed. The electronic device may comprise a display, at least one processor, and a memory. The at least one processor may: check a user's sleep time information, obtain activity information and sleep evaluation information corresponding to the sleep time information; analyze a pattern of the activity information on the basis of the sleep evaluation information; generate sleep guide information relating to the user on the basis of a result of the analysis; and output the generated sleep guide information on the display. Various other embodiments identified by the present document are possible.
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公开(公告)号：US20230384021A1
公开(公告)日：2023-11-30
申请号：US18232997
申请日：2023-08-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： 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: F25D23/02
CPC classification number: F25D23/02 , F25D2323/021
Abstract: 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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13.发明申请公开(公告)号：US20220113642A1
公开(公告)日：2022-04-14
申请号：US17555985
申请日：2021-12-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sunghyup KIM , Ho YU , Jeonggil KIM , Minseok CHOI
Abstract: 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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公开(公告)号：US20210071934A1
公开(公告)日：2021-03-11
申请号：US17099661
申请日：2020-11-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： 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: F25D23/02
Abstract: 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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15.发明申请公开(公告)号：US20200234469A1
公开(公告)日：2020-07-23
申请号：US16844124
申请日：2020-04-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sunyoung JEON , Jaehwan KIM , Youngo PARK , Jongseok LEE , Minseok CHOI , Kwangpyo CHOI
Abstract: Provided is an artificial intelligence (AI) encoding apparatus including a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to obtain a first image by performing AI down-scaling on an original image through a deep neural network (DNN) for down-scaling, obtain artifact information indicating an artifact region in the first image, perform post-processing to change a pixel value of a pixel in the first image, based on the artifact information, and obtain image data corresponding to a result of encoding of the post-processed first image, and AI data including the artifact information.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20200184685A1
公开(公告)日：2020-06-11
申请号：US16793605
申请日：2020-02-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok LEE , Sunyoung JEON , Kwangpyo CHOI , Minseok CHOI , Quockhanh DINH , Youngo PARK
Abstract: 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：US20250080803A1
公开(公告)日：2025-03-06
申请号：US18791991
申请日：2024-08-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Gippeum CHOI , Doil KWON , Myungjae KIM , Jaehwang LEE , Minseok CHOI
IPC: H04N21/4722 , H04N21/439 , H04N21/44 , H04N21/4788
Abstract: An electronic apparatus includes a communicator configured to receive data corresponding to content, a memory and at least one processor, and the at least one processor is configured to, based on a chatting service being present that is related to the content based on the received data, control to output an image including text information related to the content and a highlighted time point identified based on at least one of an image corresponding to the content and an audio corresponding to the content.
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公开(公告)号：US20210118189A1
公开(公告)日：2021-04-22
申请号：US17082848
申请日：2020-10-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok LEE , Sunyoung JEON , Kwangpyo CHOI , Minseok CHOI , Quockhanh DINH , Youngo PARK
Abstract: 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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19.发明申请公开(公告)号：US20200175650A1
公开(公告)日：2020-06-04
申请号：US16781083
申请日：2020-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok LEE , Sunyoung JEON , Kwangpyo CHOI , Minseok CHOI , Quockhanh DINH , Youngo PARK
Abstract: 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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20.发明申请公开(公告)号：US20200126262A1
公开(公告)日：2020-04-23
申请号：US16570057
申请日：2019-09-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok LEE , Sunyoung JEON , Kwangpyo CHOI , Minseok CHOI , Quockhanh DINH , Youngo PARK
Abstract: 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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