APPARATUS AND METHOD FOR MANAGING ZONE PRESENCE
    1.
    发明申请
    APPARATUS AND METHOD FOR MANAGING ZONE PRESENCE 审中-公开
    用于管理区域存在的装置和方法

    公开(公告)号:US20160308989A1

    公开(公告)日:2016-10-20

    申请号:US15097503

    申请日:2016-04-13

    CPC classification number: H04L67/22 H04L45/745 H04W4/60 H04W84/12 H04W88/08

    Abstract: Provided is an apparatus for managing zone presence, which manages presence information of a zone including a plurality of wireless access points, including: a presence managing unit receiving a subscription request from an application server and determining whether user terminal access information received from at least any one among the plurality of wireless access points corresponds to the subscription request; and an API processing unit providing the presence information to the application server when the user terminal access information corresponds to the subscription request.

    Abstract translation: 提供了一种用于管理区域存在的装置,其管理包括多个无线接入点的区域的存在信息,包括:存在管理单元,从应用服务器接收订阅请求,并确定是否从至少任何 多个无线接入点中的一个对应于订阅请求; 以及当所述用户终端访问信息对应于所述订阅请求时,向所述应用服务器提供所述呈现信息的API处理单元。

    APPARATUS FOR TRAINING DEEP LEARNING MODEL
    2.
    发明公开

    公开(公告)号:US20240169198A1

    公开(公告)日:2024-05-23

    申请号:US18242725

    申请日:2023-09-06

    CPC classification number: G06N3/08 G06N3/0442 G06N3/0464

    Abstract: An apparatus for training a deep learning model for classifying emotions from biosignals includes: a memory configured to store a program for training the deep learning model; and a processor configured to train the deep learning model by executing the program, wherein, when the processor executes the program, the processor inputs an input matrix to an attention layer constituting the deep learning model, the input matrix being composed of a plurality of features each mapped to a plurality of channels and a plurality of feature groups as the biosignals are acquired from a plurality of channels and the biosignals acquired from each channel are divided into the plurality of feature groups, and the attention layer operates to mask the input matrix using an attention matrix in which an importance of features in each channel is reflected.

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