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    Reconfigurable logic circuit using optimal parameter and method of operating the same
    3.
    发明授权
    Reconfigurable logic circuit using optimal parameter and method of operating the same 有权

    公开(公告)号：US12073622B2

    公开(公告)日：2024-08-27

    申请号：US17449080

    申请日：2021-09-27

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Chan-Hyun Youn ,  Woojoong Kim ,  Duc Canh Le ,  Eunyoung Oh ,  Minsu Jeon

    IPC: G06F15/78 ,  G06V20/40

    CPC classification number: G06V20/41 ,  G06F15/7867

    Abstract: A method of operating a reconfigurable logic circuit includes; receiving a video sequence, profiling throughput of the video sequence with regard to a parameter constituting the reconfigurable logic circuit to generate a profiling result, initializing the parameter to a maximum value, evaluating throughput of the video sequence with regard to a current parameter value based on the profiling result, decreasing the current parameter value when throughput with regard to the current parameter value is not a maximum value, and determining that the current parameter value is an optimal parameter when throughput with regard to the current parameter value is the maximum value, and analyzing the video sequence based on the optimal parameter.

    APPARATUS AND METHOD FOR DETERMINING SOURCE DEVICE IN CONTENTS SHARING SYSTEM
    5.
    发明申请
    APPARATUS AND METHOD FOR DETERMINING SOURCE DEVICE IN CONTENTS SHARING SYSTEM 有权
    用于确定共享系统中的源设备的装置和方法

    公开(公告)号：US20130246616A1

    公开(公告)日：2013-09-19

    申请号：US13838549

    申请日：2013-03-15

    Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  KOREA ADVANCED INSTITUTUE OF SCIENCE AND TECHNOLOGY

    Inventor： Yongsuk Park ,  Sun-Mi Kim ,  Dan-Keun Sung ,  Chan-Hyun Youn ,  Jin-Won Kim ,  Ji-Young Cha ,  Tae-Hoon Kim ,  Dong-Ki Kang ,  Hee-Jae Kim ,  Yong-Sung Park ,  Young-Joo Han

    IPC: H04L12/70

    CPC classification number: H04L47/808 ,  H04L47/19 ,  H04L67/1008 ,  H04L67/101 ,  H04L67/1063 ,  H04L67/327 ,  H04W4/80

    Abstract: A method for determining a source and a transmission path to provide content includes receiving a message comprising at least one of channel information of a link between a request device which requests content download and a central management device, available resource amount information of a candidate device, channel information of a link between the candidate device and the central management device, and channel information of a link between the request device and one candidate device. The method also includes determining a source device and the transmission path for providing the content to the request device using an available resource amount of the candidate device, a data rate of the link between the request device and the central management device, a data rate of the link between the request device and the candidate device, and a data rate of the link between the candidate device and the central management device.

    Abstract translation: 用于确定提供内容的源和传输路径的方法包括接收包括请求内容下载的请求设备和中央管理设备之间的链路的信道信息中的至少一个的消息，候选设备的可用资源量信息， 候选设备和中央管理设备之间的链路的信道信息，以及请求设备和一个候选设备之间的链路的信道信息。 该方法还包括使用候选设备的可用资源量，请求设备和中央管理设备之间的链路的数据速率，确定源设备和传输路径，用于向请求设备提供内容，数据速率为 请求设备和候选设备之间的链路以及候选设备与中央管理设备之间的链路的数据速率。

    Method of executing task and scheduling layer tasks using neural network and electronic device using the same
    7.
    发明授权
    Method of executing task and scheduling layer tasks using neural network and electronic device using the same 有权

    公开(公告)号：US12229592B2

    公开(公告)日：2025-02-18

    申请号：US17477760

    申请日：2021-09-17

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Chan-Hyun Youn ,  Seong-Hwan Kim ,  Gyusang Cho

    IPC: G06F9/48 ,  G06F9/50 ,  G06N3/045

    Abstract: A task execution method using resources includes receiving an execution request for a first task; analyzing the first task and dividing the first task into a plurality of sub-tasks; identifying a sub-task using a first neural network from among the sub-tasks and dividing the identified sub-task into a plurality of layer tasks corresponding to calculations between layers constituting the first neural network; calculating a deadline time of each of the sub-tasks; scheduling a first sub-task to be scheduled to a first resource group from among the resources; and, when a runtime of the first sub-task exceeds a deadline time of the first sub-task, scheduling a sub-task or a layer task subsequent to the first sub-task to a second resource group.

    Task execution method and electronic device using the same
    8.
    发明授权
    Task execution method and electronic device using the same 有权

    公开(公告)号：US12164959B2

    公开(公告)日：2024-12-10

    申请号：US17486056

    申请日：2021-09-27

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Chan-Hyun Youn ,  Seong-Hwan Kim ,  Gyusang Cho

    IPC: G06F9/48 ,  G06F9/50 ,  G06N3/045 ,  G06N3/063

    Abstract: A task execution method includes receiving an execution request for a first task; analyzing the first task and dividing the first task into sub-tasks, the sub-tasks including a first sub-task and a second sub-task; calculating respective deadline times of the sub-tasks; scheduling the sub-tasks for processing by resources, the resources using neural networks; sequentially executing the sub-tasks using the resources and the neural networks; checking whether respective runtimes of the sub-tasks exceed a corresponding deadline time; and executing the second sub-task, subsequent to executing the first sub-task, using a first pruned neural network generated from the neural networks when the checking indicates that the runtime of the first sub-task exceeds the deadline time of the first sub-task.

    ELECTRONIC DEVICE FOR IMPROVING THE EXPLAINABILITY OF SATELLITE IMAGE
    9.
    发明公开
    ELECTRONIC DEVICE FOR IMPROVING THE EXPLAINABILITY OF SATELLITE IMAGE 审中-公开

    公开(公告)号：US20240135682A1

    公开(公告)日：2024-04-25

    申请号：US18377649

    申请日：2023-10-06

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Chan-Hyun Youn ,  Taewoo Kim ,  Changha Lee ,  Minsu Jeon

    IPC: G06V10/771 ,  G06V10/764 ,  G06V20/13

    CPC classification number: G06V10/771 ,  G06V10/764 ,  G06V20/13

    Abstract: An electronic device includes a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: input first data to a first artificial intelligence model including a plurality of convolution blocks sequentially connected with a pooling layer interposed therebetween to obtain a plurality of feature maps that are output by corresponding ones of the plurality of convolution blocks, input the first data and the plurality of feature maps to a second artificial intelligence model including a plurality of local attention blocks sequentially connected to obtain a plurality of attention maps that are output by corresponding ones of the plurality of local attention blocks, output an amplified feature map by amplifying a region corresponding to a last attention map among the plurality of attention maps in a last feature map among the plurality of feature maps, and input the amplified feature map to a classifier to output a classification result for the first data.

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