METHOD OF ANALYZING WIRELESS SIGNALS USING MULTI-TASK LEARNING-BASED SPECTRAL ANALYSIS LEARNING MODEL

    公开(公告)号:US20240104428A1

    公开(公告)日:2024-03-28

    申请号:US18077206

    申请日:2022-12-07

    CPC classification number: G06N20/00 H04B17/30

    Abstract: A wireless signal spectral analysis method using a multi-task learning-based spectral analysis learning model, the wireless signal spectral analysis method may be provided. The analysis method according to an embodiment of the present disclosure may include: receiving a target signal of a target band, obtaining a training dataset through pre-processing of the target signal, performing wireless signal spectral analysis learning using the training dataset, and analyzing the target signal using a trained spectral analysis learning model, wherein the performing of wireless signal spectral analysis learning comprises: configuring task specific layers for respectively performing individual learning for a plurality of tasks to be analyzed and a shared layer for performing shared learning; learning, in the shared layer, correlation data that meets a predefined criterion in the training dataset; and individually learning, in each of the plurality of task specific layers, using an individual dataset required for each task in the training dataset and a result of learning the correlation data.

    Data classification method and device for hierarchical multi-label classification

    公开(公告)号:US11874856B2

    公开(公告)日:2024-01-16

    申请号:US17927549

    申请日:2021-10-07

    CPC classification number: G06F16/285 G06F18/241

    Abstract: A data classification method and a device thereof for hierarchical multi-label classification are proposed. The data classification device includes an encoder configured to vectorize data, a decoder configured to receive the vectorized data from the encoder, and classification data stored in the decoder, wherein the decoder starts classification of the vectorized data on the basis of a first node in the classification data, allocates a plurality of nodes included in the classification data to the vectorized data, and forms partial layers based on the allocated nodes with respect to the vectorized data, and when terminal nodes or temporary nodes are allocated among the nodes, the decoder ends the allocation to the partial layers to which the terminal nodes or the temporary nodes are allocated and allocates final partial layers formed on the basis of the partial layers to the data.

    VISUAL AND TACTILE AR MEDIUM BASED ON AUGMENTED REALITY

    公开(公告)号:US20220339534A1

    公开(公告)日:2022-10-27

    申请号:US17528418

    申请日:2021-11-17

    Abstract: Proposed is a visual and tactile AR medium based on augmented reality for providing a user with visual and tactile information matched with the augmented reality when the user experiences the augmented reality through the AR medium capable of being connected to a part of a body of the user, the AR medium including: a tactile augmentation member configured to enable the part of the body of the user to feel the augmented reality in a tactile manner; a visual augmentation member configured to overlay a graphic on the AR medium, and being capable of performing visual change; and a control member configured to perform transmission and reception with the AR medium, wherein the control member is configured to control output of the tactile augmentation member or the visual augmentation member, corresponding to input from the user or the AR medium or both.

Patent Agency Ranking