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公开(公告)号：US20220146171A1
公开(公告)日：2022-05-12
申请号：US17519024
申请日：2021-11-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Soodol PARK , Sihyeon RYU , Duhwa JUNG , Taejun PARK
Abstract: A refrigeration cycle device includes a compressor. The compressor includes a casing, a driving unit disposed in the casing, a compression unit coupled to the driving unit and configured to compress a refrigerant, and a valve configured to control a flow of the refrigerant in the casing. The valve includes a valve chamber including a main flow path in which the refrigerant is to flow, the main flow path including a refrigerant inlet and a refrigerant outlet. The valve also includes a floating body disposed in the valve chamber to open or close the main flow path, and a bypass flow path formed in the valve chamber and which is to be opened or closed by the floating body. When the driving unit is stopped and the bypass flow path is opened by the floating body, the refrigerant is to be detoured to the bypass flow path.
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公开(公告)号：US20240410629A1
公开(公告)日：2024-12-12
申请号：US18808706
申请日：2024-08-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Soodol PARK , Sihyeon RYU , Duhwa JUNG , Taejun PARK
IPC: F25B41/20 , F04B49/025 , F04B49/035 , F04C28/06 , F04C28/26 , F25B1/04 , F25B31/02 , F25B41/40 , F25B49/02
Abstract: A refrigeration cycle device includes a compressor. The compressor includes a casing, a driving unit disposed in the casing, a compression unit coupled to the driving unit and configured to compress a refrigerant, and a valve configured to control a flow of the refrigerant in the casing. The valve includes a valve chamber including a main flow path in which the refrigerant is to flow, the main flow path including a refrigerant inlet and a refrigerant outlet. The valve also includes a floating body disposed in the valve chamber to open or close the main flow path, and a bypass flow path formed in the valve chamber and which is to be opened or closed by the floating body. When the driving unit is stopped and the bypass flow path is opened by the floating body, the refrigerant is to be detoured to the bypass flow path.
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公开(公告)号：US20220030291A1
公开(公告)日：2022-01-27
申请号：US17496507
申请日：2021-10-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Taejun PARK , Sangjo LEE , Sangkwon NA
IPC: H04N21/2662 , H04N19/115 , H04N19/117 , H04N19/157 , H04N19/42 , H04N19/82 , G06T3/40
Abstract: The disclosure relates to an artificial intelligence (AI) system that uses a machine learning algorithm and an application thereof. A method for controlling an electronic apparatus according to the disclosure includes receiving image data and information associated with a filter set that is applied to an artificial intelligence model for upscaling the image data from an external server; decoding the image data; upscaling the decoded image data using a first artificial intelligence model that is obtained based on the information associated with the filter set; and providing the upscaled image data for output.
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公开(公告)号：US20240040179A1
公开(公告)日：2024-02-01
申请号：US18485572
申请日：2023-10-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Taejun PARK , Sangjo LEE , Sangkwon NA
IPC: H04N21/2662 , H04N19/115 , H04N19/117 , H04N19/157 , H04N19/42 , H04N19/82 , G06T3/40
CPC classification number: H04N21/2662 , H04N19/115 , H04N19/117 , H04N19/157 , H04N19/439 , H04N19/82 , G06T3/4007
Abstract: The disclosure relates to an artificial intelligence (AI) system that uses a machine learning algorithm and an application thereof. A method for controlling an electronic apparatus according to the disclosure includes receiving image data and information associated with a filter set that is applied to an artificial intelligence model for upscaling the image data from an external server; decoding the image data; upscaling the decoded image data using a first artificial intelligence model that is obtained based on the information associated with the filter set; and providing the upscaled image data for output.
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5.发明申请公开(公告)号：US20210004653A1
公开(公告)日：2021-01-07
申请号：US16892357
申请日：2020-06-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Doohyun KIM , Minyong SUNG , Taejun PARK , Sangjo LEE
Abstract: An artificial intelligence (AI) processor includes at least one memory; a plurality of neural network operators comprising circuitry configured to process an image; and a controller configured to control the at least one memory and the plurality of neural network operators. The controller controls input image data of an image to be stored in the at least one memory and controls at least one of the plurality of neural network operators to perform a neural network operation on image data split based on a size of the image and data processing capabilities of the plurality of neural network operators, and output upscaled image data.
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Patent Agency Ranking
公开(公告)号：US20200374880A1
公开(公告)日：2020-11-26
申请号：US16636819
申请日：2018-08-29
Inventor： Byounghoon JUNG , Jihoon KIM , Sunghyun CHOI , Seung-Hoon PARK , Jungsoo JUNG , Taejun PARK , Kangjin YOON , Jaehong YI , Sunwook HWANG
Abstract: Disclosed is a 5th generation (5G) or pre-5G communication system for supporting a data transmission rate higher than that of a 4th generation (4G) communication system such as long-term evolution (LTE). According to various embodiments of the present disclosure, a terminal operation method in a wireless communication system comprises the steps of: identifying a primary anchor carrier among a plurality of anchor carriers used by a base station; and receiving an information signal (IS) from the base station through the identified primary anchor carrier, wherein the primary anchor carrier can be continuously maintained in order to receive the IS from the base station.
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7.发明申请公开(公告)号：US20200236176A1
公开(公告)日：2020-07-23
申请号：US16750416
申请日：2020-01-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Taejun PARK , Minkyu KIM , Seunggyun KIM , Daeyoung RYU
Abstract: Disclosed is an electronic device including: a communication circuit; a processor; and a memory, wherein the memory stores instructions which, when executed, cause the processor to control the electronic device to: acquire first information on types of objects disposed within a first space and second information on locations of the objects in a first direction, select a target object, generate first name of the target object based on information on a type of the target object in the first information, generate second name of at least one counterpart object based on information on a type of the counterpart object disposed around the target object in the first information, determine a relative location relation between the target object and the at least one counterpart object based on the second information, and generate third name of the target object based on the first name, the second name, and the relative location relation.
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公开(公告)号：US20240378761A1
公开(公告)日：2024-11-14
申请号：US18781478
申请日：2024-07-23
Applicant: SAMSUNG ELECTRONICS CO.,LTD.
Inventor： Daesung CHO , Daeeun KIM , Bongjoe KIM , Taejun PARK , Sangjo LEE , Kyuha CHOI
IPC: G06T9/00 , G06N3/045 , G06T3/4046 , G06T7/00
Abstract: An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.
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公开(公告)号：US20220414828A1
公开(公告)日：2022-12-29
申请号：US17902775
申请日：2022-09-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kyuha CHOI , Bongjoe KIM , Daeeun KIM , Taejun PARK
Abstract: An electronic apparatus includes a memory configured to store a downscaling network of a first artificial intelligene model, a communication interface comprising communication circuitry, and a processor connected to the memory and the communication interface and configured to control the electronic apparatus, wherein the processor is configured to: obtain an output image in which an input image is downscaled by inputting the input image the downscaling network, control the communication interface to transmit the output image to another electronic apparatus, and wherein the first artificial intelligene model is configured to be learned based on: a sample image, a first intermediate image obtained by inputting the sample image to the downscaling network, a first final image obtained by inputting the first intermediate image to an upscaling network of the first artificial intelligene model, a second intermediate image in which the sample image is downscaled by a legacy scaler, and a second final image in which the first intermediate image is upscaled by the legacy scaler.
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公开(公告)号：US20220180568A1
公开(公告)日：2022-06-09
申请号：US17522579
申请日：2021-11-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Daesung CHO , Daeeun KIM , Bongjoe KIM , Taejun PARK , Sangjo LEE , Kyuha CHOI
Abstract: An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.
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