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    Electronic apparatus managing data based on block chain and method for managing data
    1.
    发明授权
    Electronic apparatus managing data based on block chain and method for managing data 有权

    公开(公告)号：US11265146B2

    公开(公告)日：2022-03-01

    申请号：US16398949

    申请日：2019-04-30

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangbok Han ,  Hyuncheol Park ,  Sangmin Kim ,  Seonjae Kim ,  Donghyun Lee ,  Changhoon Lee ,  Isak Choi ,  Kyungwan Han

    IPC: H04L9/06 ,  H04L29/06

    Abstract: An electronic apparatus for managing data based on a block chain and a method therefor are provided. The electronic apparatus includes a communication interface, a memory, and a processor to receive a request for accessing data from an authenticated user, generate first block information regarding the request by including information on the request and at least one second block information related to the request from among a plurality of second block information stored in the memory, transmit the generated first block information to at least one of a plurality of external apparatuses constituting a block chain, and update the plurality of second block information stored in the memory based on the generated first block information. The plurality of second block information includes information on a block regarding a latest access history by category among a plurality of blocks included in block chain data shared by the plurality of external apparatuses.

    APPARATUS AND METHOD FOR HARDWARE-BASED TASK SCHEDULING
    2.
    发明申请
    APPARATUS AND METHOD FOR HARDWARE-BASED TASK SCHEDULING 有权
    用于基于硬件的任务调度的装置和方法

    公开(公告)号：US20150301854A1

    公开(公告)日：2015-10-22

    申请号：US14692354

    申请日：2015-04-21

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jongchul Park ,  Jinkyu Koo ,  Sangbok Han ,  Myungsun Kim

    IPC: G06F9/46

    CPC classification number: G06F9/4881 ,  G06F2209/483 ,  G06F2209/486 ,  G06F2209/509 ,  Y02B70/1441 ,  Y02D10/24

    Abstract: Provided are a method and apparatus for task scheduling based on hardware. The method for task scheduling in a scheduler accelerator based on hardware includes: managing task related information based on tasks in a system; updating the task related information in response to a request from a CPU; selecting a candidate task to be run next after a currently running task for each CPU on the basis of the updated task related information; and providing the selected candidate task to each CPU. The scheduler accelerator supports the method for task scheduling based on hardware.

    Abstract translation: 提供了一种基于硬件的任务调度的方法和装置。 基于硬件的调度加速器中的任务调度方法包括：根据系统任务管理与任务相关的信息; 响应于来自CPU的请求更新任务相关信息; 基于更新的任务相关信息，为每个CPU在当前运行的任务之后选择要运行的候选任务; 并将所选候选任务提供给每个CPU。 调度器加速器支持基于硬件的任务调度方法。

    Electronic device and data compression method thereof
    3.
    发明授权
    Electronic device and data compression method thereof 有权

    公开(公告)号：US11226738B2

    公开(公告)日：2022-01-18

    申请号：US15750733

    申请日：2016-08-04

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangbok Han ,  Jinkyu Koo ,  Hyunsik Kim ,  Sunho Moon ,  Chungsuk Han

    IPC: G06F3/06 ,  H03M7/30 ,  G06F11/14 ,  G06F12/02 ,  G06F7/14

    Abstract: Disclosed are an electronic device and a data compression method thereof. According to a data compression method of an electronic device of the present invention, the method comprises the steps of: compressing a page; determining whether data included in the compressed page is stored in a memory; and merging the compressed page with data previously stored in the memory when a result of the determination shows that the data included in the compressed page is the same as the previously stored data. Therefore, the electronic device can prevent a page including the same or similar data from being stored a multiple number of times in a swap area, thereby raising memory securing efficiency.

    Processor element matrix performing maximum/average pooling operations
    5.
    发明授权
    Processor element matrix performing maximum/average pooling operations 有权

    公开(公告)号：US11409694B2

    公开(公告)日：2022-08-09

    申请号：US16936965

    申请日：2020-07-23

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Kyounghoon Kim ,  Gyeonghoon Kim ,  Hyunsik Kim ,  Haksup Song ,  Guyeon Wei ,  Jonghun Lee ,  Jinsae Jung ,  Junguk Cho ,  Sangbok Han

    IPC: G06F15/80 ,  G06F9/50

    Abstract: A processor is provided. The processor includes a plurality of processing elements configured to be arranged in a matrix form, and a controller configured to control the plurality of processing elements during a plurality of cycles to process a target data, control first processing elements so that each of the first processing elements operates data provided from adjacent first processing elements and the input first element and inputs each of second elements included in a second row among the plurality of elements to second processing elements arranged in the second row among the plurality of processing elements, control the second processing elements so that each of the second processing elements operates data provided from adjacent second processing elements and the input second element, and operates data provided from the adjacent first processing elements in the same column among the first processing elements and pre-stored operation data.

    Electronic device and method of inferring object in image
    8.
    发明授权
    Electronic device and method of inferring object in image 有权

    公开(公告)号：US12067754B2

    公开(公告)日：2024-08-20

    申请号：US17436493

    申请日：2021-07-16

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Kyounghoon Kim ,  Sihoon Song ,  Sangbok Han

    IPC: G06V10/25 ,  G06V10/70 ,  G06V10/82

    CPC classification number: G06V10/25 ,  G06V10/82 ,  G06V10/87

    Abstract: Provided are a method and electronic device for inferring an object in an image using a convolutional neural network (CNN) model. The method includes including: identifying a first region of interest in a first frame in the moving image, and a first object in the first region of interest, by providing the first frame to convolution layer groups sequentially connected in the CNN model, identifying a second region of interest in a second frame, the second region of interest corresponding to the first region of interest, and the second frame being after the first frame, providing the second region of interest to the CNN model, and obtaining first output data output from a first convolution layer group from among the convolution layer groups, and determining whether to identify a second object in the second region of interest by using a second convolution layer group, based on the first output data.

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