APPARATUS AND METHOD FOR SHARING RESOURCE BETWEEN TERMINALS
    1.
    发明申请
    APPARATUS AND METHOD FOR SHARING RESOURCE BETWEEN TERMINALS 审中-公开
    用于在终端之间共享资源的装置和方法

    公开(公告)号:US20140173116A1

    公开(公告)日:2014-06-19

    申请号:US13970282

    申请日:2013-08-19

    CPC classification number: H04L67/10

    Abstract: A resource sharing apparatus which allows a first terminal and a second terminal to share a resource includes a virtual node generating unit which generates a virtual node corresponding to the second terminal in a storing space in the first terminal, and a sharing control unit which transmits sharing data to the second terminal through the virtual node, if information on at least one resource which is permitted to be shared with the second terminal, among the resources of the first terminal, is generated, deleted, or changed.

    Abstract translation: 允许第一终端和第二终端共享资源的资源共享装置包括在第一终端的存储空间中生成与第二终端对应的虚拟节点的虚拟节点生成部,以及共享控制部, 如果生成,删除或改变了在第一终端的资源中,允许与第二终端共享的至少一个资源的信息,则通过虚拟节点向第二终端发送数据。

    SYSTEM AND METHOD FOR PREDICTING HARMFUL MATERIALS
    2.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING HARMFUL MATERIALS 审中-公开
    用于预测有害材料的系统和方法

    公开(公告)号:US20160178590A1

    公开(公告)日:2016-06-23

    申请号:US14860799

    申请日:2015-09-22

    CPC classification number: G01N33/02

    Abstract: Provided herein is a harmful material prediction system including a harmful material feature collecting unit configured to collect harmful material features of food; a preprocessing unit configured to preprocess the harmful material features collected and generate harmful material information of an analyzable format; and a Hadoop-based dispersed cluster configured to generate a similarity group where similarity base points are grouped based on a correlation per variable included in the harmful material information, thereby predicting in real time the harmful materials over the overall phases of distribution.

    Abstract translation: 本发明提供了一种有害材料预测系统,包括有害材料特征收集单元,其构造成收集食物的有害物质特征; 预处理单元,其被配置为预处理所收集的有害物质特征并产生可分析格式的有害物质信息; 以及基于Hadoop的分散集群,其被配置为基于包含在有害材料信息中的每个变量的相关性来生成相似性基点分组的相似性组,从而实时预测有害材料在整个分布阶段。

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