REFRIGERATOR
    22.
    发明公开
    REFRIGERATOR 审中-公开

    公开(公告)号:US20240053090A1

    公开(公告)日:2024-02-15

    申请号:US18336719

    申请日:2023-06-16

    CPC classification number: F25D23/04 F25D23/063 F25D17/067

    Abstract: Provided is a refrigerator. The refrigerator includes a body including an opening formed in a front surface, a door rotatably coupled to the body and configured to open and close the opening of the body, a refrigerator compartment provided in a first inner space of the body, and a freezer compartment case provided with a freezer compartment to insert into or withdraw from a second inner space of the body that is disposed under the first inner space, and configured to slide in a forward-backward direction between an insertion position at which the freezer compartment case is inserted into the second inner space and closes the freezer compartment and a withdrawal position at which the freezer compartment case is withdrawn from the second inner space and opens the freezer compartment, and a front of the freezer compartment case is covered by the door at the insertion position in a state in which the door closes the opening of the body.

    AI ENCODING APPARATUS AND OPERATION METHOD OF THE SAME, AND AI DECODING APPARATUS AND OPERATION METHOD OF THE SAME

    公开(公告)号:US20210134020A1

    公开(公告)日:2021-05-06

    申请号:US17147954

    申请日:2021-01-13

    Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.

    TARGET DEBRIS COLLECTION DEVICE AND EXTREME ULTRAVIOLET LIGHT SOURCE APPARATUS INCLUDING THE SAME

    公开(公告)号:US20210059035A1

    公开(公告)日:2021-02-25

    申请号:US16835708

    申请日:2020-03-31

    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.

    METHODS AND APPARATUSES FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING ON IMAGE

    公开(公告)号:US20200219293A1

    公开(公告)日:2020-07-09

    申请号:US16821686

    申请日:2020-03-17

    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.

    AI ENCODING APPARATUS AND OPERATION METHOD OF THE SAME, AND AI DECODING APPARATUS AND OPERATION METHOD OF THE SAME

    公开(公告)号:US20200151914A1

    公开(公告)日:2020-05-14

    申请号:US16743618

    申请日:2020-01-15

    Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.

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