DATA GENERATION METHOD AND DEVICE, AND DISCRIMINATOR GENERATION METHOD AND DEVICE

    公开(公告)号:US20230280317A1

    公开(公告)日:2023-09-07

    申请号:US18010963

    申请日:2021-06-03

    CPC classification number: G01N30/8631 G01N30/8693 G01N2030/027

    Abstract: A data generation device according to the present invention is a data generation device configured to simulatively generate data used when creating, by machine learning, a discriminator configured to detect a peak observed in a signal waveform, the data generation device including: a parameter frequency information acquisition unit configured to acquire information on frequency of a predetermined shape parameter which characterizes a shape of a signal waveform from a plurality of signal waveforms collected only in a target field of machine learning for creating the discriminator; and a simulated waveform generation unit configured to generate a simulated signal waveform which is able to include overlapping of a plurality of peaks and noise using the information on frequency of the shape parameter, in which the simulated signal waveform is provided as data for training or evaluating machine learning.

    Polymer composite material
    79.
    发明授权

    公开(公告)号:US11739204B2

    公开(公告)日:2023-08-29

    申请号:US17325471

    申请日:2021-05-20

    CPC classification number: C08L25/06 C08L5/16

    Abstract: An object is to provide a macromolecular composite material that can be produced by a simple process, and that has excellent mechanical properties. The macromolecular composite material of the present invention contains a polymer component and a cyclodextrin compound, the polymer component containing a thermoplastic resin, and the cyclodextrin compound being at least one member selected from the group consisting of cyclodextrin and cyclodextrin derivatives. The macromolecular composite material of the present invention can be produced by a simple process, and has excellent mechanical properties.

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