Semiconductor plasma antenna apparatus

    公开(公告)号:US10147583B2

    公开(公告)日:2018-12-04

    申请号:US15195214

    申请日:2016-06-28

    Abstract: Provided is a semiconductor plasma antenna apparatus. The apparatus includes: a cell array unit in which a plurality of PIN diode cells are arranged, and in which a cell pattern is formed by using a predefined PIN diode cell among the plurality of PIN diode cells; and a driver circuit unit configured to control a drive of the predefined PIN diode cell, wherein the driver circuit unit comprises: a direct-current conversion unit equipped with a DC-DC converter configured to drive a diode load of the cell pattern by applying an output voltage to a PIN diode cell corresponding to the cell patterns formed in the cell array unit; and a constant current controller configured to controlling a plasma concentration of the PIN diode cell by controlling a constant current for the diode load of the cell pattern.

    High frequency signal amplifier including balun

    公开(公告)号:US10804862B2

    公开(公告)日:2020-10-13

    申请号:US16201754

    申请日:2018-11-27

    Abstract: High frequency signal amplifier including balun is disclosed. The amplifier comprises an input terminal (Vin) through which the high frequency signal is input; a balun which is connected to the input terminal and outputs a first differential signal and a second differential signal based on the high frequency signal; a transistor (M) which is connected to the balun and outputs an amplified high frequency signal based on the first differential signal and the second differential signal; an output terminal which is connected to the transistor (M) and through which the amplified high frequency signal is acquired and the amplified high frequency signal is output. Therefore, performance of the amplifier can be enhanced.

    CLASSIFIER LEARNING SYSTEM AND CLASSIFIER GENERATION SYSTEM INCLUDING THE SAME

    公开(公告)号:US20250028953A1

    公开(公告)日:2025-01-23

    申请号:US18604157

    申请日:2024-03-13

    Abstract: Disclosed is a classifier learning system, which includes a classifier that trains training data having a feature space including a plurality of features based on a classification algorithm, a feature weight generation module that generates a feature weight based on an artificial neural network and an amount of mutual information between the plurality of features of the training data, and a data sampling module that generates sampling data by performing a feature space restoration operation based on the training data and a previous feature space of previous data on which the training is completed in the classifier, and the classifier trains the sampling data, and the classifier includes a plurality of feature-specific classifiers to which the feature weights corresponding to each of the plurality of features are assigned.

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