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    DEVICE FOR PROCESSING TIME SERIES DATA HAVING IRREGULAR TIME INTERVAL AND OPERATING METHOD THEREOF
    4.
    发明申请
    DEVICE FOR PROCESSING TIME SERIES DATA HAVING IRREGULAR TIME INTERVAL AND OPERATING METHOD THEREOF 有权

    公开(公告)号：US20210319341A1

    公开(公告)日：2021-10-14

    申请号：US17229606

    申请日：2021-04-13

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Youngwoong HAN ,  Hwin Dol PARK ,  Jae Hun CHOI

    IPC: G06N5/04 ,  G06N20/00

    Abstract: Disclosed is a time-series data processing device that includes a preprocessor, a learner, and a predictor. The preprocessor generates time-series interval data based on a time interval of time-series data, generates feature interval data based on a time interval of each of features of the time-series data, and preprocesses the time-series data. The learner generates a weight group of a prediction model for generating a prediction result based on the time-series interval data, the feature interval data, and the preprocessed time-series data. The predictor generates a time-series weight, which depends on a feature weight of each of the features and a time flow of the time-series data, based on the time-series interval data, the feature interval data, and the preprocessed time-series data and generates a prediction result based on the feature weight and the time-series weight.

    DEVICE FOR ENSEMBLING DATA RECEIVED FROM PREDICTION DEVICES AND OPERATING METHOD THEREOF
    5.
    发明申请
    DEVICE FOR ENSEMBLING DATA RECEIVED FROM PREDICTION DEVICES AND OPERATING METHOD THEREOF 审中-公开

    公开(公告)号：US20200184284A1

    公开(公告)日：2020-06-11

    申请号：US16699060

    申请日：2019-11-28

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Myung-Eun LIM ,  Jae Hun CHOI ,  Youngwoong HAN

    IPC: G06K9/62 ,  G06N20/20 ,  G06N3/08 ,  G06N3/04

    Abstract: Provided is a device for ensembling data received from prediction devices and a method of operating the same. The device includes a data manager, a learner, and a predictor. The data manager receives first and second device prediction results from first and second prediction devices, respectively. The learner may adjust a weight group of a prediction model for generating first and second item weights, first and second device weights, based on the first and second device prediction results. The first and second item weights depend on first and second item values, respectively, of the first and second device prediction results. The first device weight corresponds to the first prediction device, and the second device weight corresponds to the second prediction device. The predictor generates an ensemble result of the first and second device prediction results, based on the first and second item weights and the first and second device weights.

    DEVICE FOR PROCESSING UNBALANCED DATA AND OPERATION METHOD THEREOF
    7.
    发明申请
    DEVICE FOR PROCESSING UNBALANCED DATA AND OPERATION METHOD THEREOF 有权

    公开(公告)号：US20220207297A1

    公开(公告)日：2022-06-30

    申请号：US17551820

    申请日：2021-12-15

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Youngwoong HAN ,  Hwin Dol PARK ,  Jae Hun CHOI

    IPC: G06K9/62

    Abstract: Disclosed is a data processing device that processes unbalanced data, which includes a preprocessor that calculates a reference value based on a plurality of training data and target data, and a learner that applies the plurality of training data to a first weight model to generate first prediction data, calculates a loss value based on a first distance between the target data and the reference value and a second distance between the target data and the first prediction data, and updates the first weight model based on the calculated loss value, and the plurality of training data and the target data have an unbalanced distribution.

    TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF
    8.
    发明申请
    TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF 审中-公开

    公开(公告)号：US20200210895A1

    公开(公告)日：2020-07-02

    申请号：US16694921

    申请日：2019-11-25

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Youngwoong HAN ,  Hwin-Dol PARK ,  Jae-Hun CHOI

    IPC: G06N20/00 ,  G16H50/20

    Abstract: The time series data processing device according to an embodiment of the inventive concept includes a preprocessor, a learner, and a predictor. The preprocessor preprocesses time series data to generate interval data, interpolation data, and masking data. The learner generates a weight value group of a prediction model that generates a feature weight value and a time series weight value, based on the interval data, the interpolation data, and the masking data. The feature weight value depends on a time and a feature of the time series data and the time series weight value depends on a time flow of the time series data. The predictor generates a feature weight value and a time series weight value, based on the weight value group, and generates a prediction result, based on the feature weight value and time series weight value.

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