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    METHOD OF FABRICATING CUSTOM DENTAL CORRECTION DEVICE, AND CUSTOM DENTAL CORRECTION DEVICE FABRICATED BY SAME
    122.
    发明申请
    METHOD OF FABRICATING CUSTOM DENTAL CORRECTION DEVICE, AND CUSTOM DENTAL CORRECTION DEVICE FABRICATED BY SAME 审中-公开

    公开(公告)号：US20170105814A1

    公开(公告)日：2017-04-20

    申请号：US15128288

    申请日：2015-05-19

    Applicant: INDUSTRY-ACADEMIC-COOPERATION FOUNDATION CHOSUN UNIVERSITY

    Inventor： Sung Hoon LIM

    IPC: A61C7/00 ,  A61C7/28

    CPC classification number: A61C7/002 ,  A61C7/148 ,  A61C7/20 ,  A61C7/28

    Abstract: A method of fabricating a customized orthodontic appliance includes a setup model forming step of preparing a setup model corresponding to teeth after ideal orthodontic treatment for a patient, an arch wire forming step of preparing an arch wire corresponding to a dental arch of the setup model while being disposed to closely approach tooth surfaces of teeth of the setup model, and an orthodontic bracket forming step of forming a bracket body corresponding to each of the teeth with reference to the arch wire. Through this, the customized orthodontic appliance capable of minimizing the distance between the tooth surface and the arch wire to accurately perform the ideal orthodontic treatment is fabricated. Also, convenience and accuracy of procedure is improved, and irritating sensation in the oral cavity is minimized.

    REFERENCE FRAME SELECTION TECHNIQUE FOR ERROR RESILIENCE OF VIDEO CODEC USING MULTIPLE REFERENCE FRAMES
    126.
    发明申请
    REFERENCE FRAME SELECTION TECHNIQUE FOR ERROR RESILIENCE OF VIDEO CODEC USING MULTIPLE REFERENCE FRAMES 有权
    使用多个参考框架的视频编解码器的错误恢复的参考帧选择技术

    公开(公告)号：US20160080775A1

    公开(公告)日：2016-03-17

    申请号：US14651057

    申请日：2013-03-25

    Applicant: Industry-Academic Cooperation Foundation Chosun University

    Inventor： Jae-Young PYUN ,  Hee-Seon GANG

    IPC: H04N19/65 ,  H04N19/172 ,  H04N19/537 ,  H04N19/176 ,  H04N19/513

    CPC classification number: H04N19/65 ,  H04N19/105 ,  H04N19/109 ,  H04N19/139 ,  H04N19/147 ,  H04N19/172 ,  H04N19/176 ,  H04N19/513 ,  H04N19/537 ,  H04N19/573 ,  H04N19/58 ,  H04N19/895

    Abstract: The present invention relates to a reference frame selection technique for an error resilience of video codec using multiple reference frames. The reference frame selection technique for an error resilience of video codec using multiple reference frames according to the present invention comprises the steps of: performing a motion estimation individually in each of the multiple reference frames so as to search a reference macroblock of the macroblock to be coded; checking the degree of match between the reference macroblock region found by the motion estimation and the intra-coded macroblock of the reference frame; and selecting the motion vector (MV) of the reference macroblock which is relatively best matched to the intra-coded macroblock of the reference frame from among the reference macroblocks found in each of the multiple reference frames.

    Abstract translation: 本发明涉及一种用于使用多个参考帧的视频编解码器的错误恢复性的参考帧选择技术。 根据本发明的使用多个参考帧的视频编解码器的错误恢复性的参考帧选择技术包括以下步骤：在多个参考帧中的每一个中单独执行运动估计，以便将宏块的参考宏块搜索为 编码 检查由运动估计找到的参考宏块区域与参考帧的帧内编码宏块之间的匹配度; 并且从多个参考帧中的每个参考帧中找到的参考宏块中选择与参考帧的帧内编码宏块相对最佳匹配的参考宏块的运动矢量（MV）。

    BLOOD PRESSURE ESTIMATION METHOD BASED ON SPATIOTEMPORAL FEATURES OF ELECTROCARDIOGRAM AND PHOTOPLETHYSMOGRAPHY
    130.
    发明申请
    BLOOD PRESSURE ESTIMATION METHOD BASED ON SPATIOTEMPORAL FEATURES OF ELECTROCARDIOGRAM AND PHOTOPLETHYSMOGRAPHY 有权

    公开(公告)号：US20250143592A1

    公开(公告)日：2025-05-08

    申请号：US18766168

    申请日：2024-07-08

    Applicant: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, CHOSUN UNIVERSITY

    Inventor： Jae Hyo JUNG ,  Geng Jia ZHANG ,  Dae Gil CHOI

    IPC: A61B5/021 ,  A61B5/00 ,  A61B5/352

    Abstract: The present disclosure relates to a method of extracting spatiotemporal features of electrocardiogram (ECG) and photoplethysmography (PPG) signals corresponding to each other using a neural network and of estimating blood pressure on the basis of the spatiotemporal features. The method includes: generating a target signal of a plurality of channels by respectively combining ECG signals and PPG signals corresponding to each other; extracting a first feature composed of a plurality of channels by inputting the target signal of a plurality of channels into a 1D convolution layer; generating a channel-wise weight vector by compressing the first feature; computing a second feature composed of a plurality of channels by applying the channel-wise weight vector to the first feature; extracting a third feature by inputting the second feature into a CNN model; and determining systolic and diastolic blood pressures by inputting the third feature into an LSTM model.

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