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    APPARATUS AND METHOD FOR RECOGNIZING NEARBY DEVICE USING DISTANCE AND INTIMACY
    11.
    发明申请
    APPARATUS AND METHOD FOR RECOGNIZING NEARBY DEVICE USING DISTANCE AND INTIMACY 审中-公开
    用于识别使用距离和惯性的近端设备的装置和方法

    公开(公告)号：US20160142874A1

    公开(公告)日：2016-05-19

    申请号：US14591430

    申请日：2015-01-07

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Joon-Young JUNG ,  Dong-Oh KANG ,  Chang-Seok BAE ,  Jang-Ho CHOI

    IPC: H04W4/02 ,  H04W8/00

    CPC classification number: H04W4/023 ,  H04W8/005

    Abstract: Disclosed herein is an apparatus and method for recognizing a nearby device, which measure distances between devices and calculate intimacies between the devices, thus notifying a user of the distances to and intimacies with nearby devices. The apparatus includes a distance determination module unit for determining distances to a plurality of nearby devices based on signals for distance determination, received from the respective nearby devices. A zone determination module unit determines zones to which the respective nearby devices belong, among multiple zones, depending on the distances to the respective nearby devices. A nearby device recognition module unit recognizes the nearby devices using received information of the nearby devices. An intimacy determination module unit determines intimacies with the nearby devices, based on previously stored information required for intimacy determination. A user interface unit displays results of distance determination and intimacy determination to a user.

    Abstract translation: 本文公开了一种用于识别附近装置的装置和方法，该装置和方法测量装置之间的距离并计算装置之间的亲密度，从而向使用者通知附近装置的距离和亲密度。 该装置包括距离确定模块单元，用于基于从相应的附近设备接收的用于距离确定的信号来确定到多个附近设备的距离。 区域确定模块单元根据到各个附近设备的距离来确定多个区域中各个附近设备所属的区域。 附近的设备识别模块单元使用附近设备的接收信息识别附近的设备。 亲密决定模块单元根据先前存储的亲密度确定所需的信息来确定附近设备的亲密度。 用户界面单元向用户显示距离确定和亲密确定的结果。

    DATA SHARING APPARATUS AND METHOD USING SOCIAL RELATION
    12.
    发明申请
    DATA SHARING APPARATUS AND METHOD USING SOCIAL RELATION 审中-公开
    数据共享装置和使用社会关系的方法

    公开(公告)号：US20140324971A1

    公开(公告)日：2014-10-30

    申请号：US14259504

    申请日：2014-04-23

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Jin-Young MOON ,  Kyu-Chang KANG ,  Joon-Young JUNG ,  Dong-Oh KANG ,  Chang-Seok BAE

    IPC: H04L29/06

    CPC classification number: H04L65/403 ,  G06Q50/01 ,  H04L67/12

    Abstract: Provided is a data sharing apparatus and method for sharing data between a terminal possessed by a user and another terminal using social relations. The data sharing apparatus includes a social relation information acquisition unit that accesses a social network service (SNS) server for providing an SNS to acquire social relation information of a user, a social relation information storage unit that stores the acquired social relation information, and a data sharing control unit that controls data sharing between a user terminal possessed by the user and a target terminal based on the stored social relation information.

    Abstract translation: 提供了一种用于在由用户拥有的终端和使用社会关系的另一终端之间共享数据的数据共享装置和方法。 数据共享装置包括社交关系信息获取单元，其访问社交网络服务（SNS）服务器以提供SNS以获取用户的社交关系信息，存储所获取的社交关系信息的社交关系信息存储单元，以及 数据共享控制单元，其基于所存储的社会关系信息来控制用户拥有的用户终端与目标终端之间的数据共享。

    SIGNAL-MULTIPLEXING APPARATUS AND METHOD BASED ON MACHINE LEARNING
    14.
    发明申请
    SIGNAL-MULTIPLEXING APPARATUS AND METHOD BASED ON MACHINE LEARNING 审中-公开

    公开(公告)号：US20200059306A1

    公开(公告)日：2020-02-20

    申请号：US16538457

    申请日：2019-08-12

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Myung-Sun BAEK ,  Joon-Young JUNG ,  Dong-Joon CHOI ,  Heung-Mook KIM

    IPC: H04B17/14 ,  H04B7/0456 ,  H04B7/0417

    Abstract: Disclosed herein are a signal-multiplexing apparatus and method based on machine learning. The signal-multiplexing method based on machine learning, performed by a signal-multiplexing apparatus based on machine learning, including training a transmitted signal using a machine-learning technique, performing complex mapping to transmit the transmitted signal as multiple signals, receiving the multiple signals and regularizing the multiple signals based on a preset rule corresponding to the machine-learning technique, outputting an estimated value for the transmitted signal by training regularized multiple signals using the machine-learning technique, calculating a difference between the transmitted signal and the estimated value for the transmitted signal, and detecting the transmitted signal from an output value when the difference is less than or equal to a preset value.

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