SEQUENTIAL LOCAL ELECTRICAL STIMULATION DEVICE AND METHOD

    公开(公告)号:US20250001182A1

    公开(公告)日:2025-01-02

    申请号:US18510528

    申请日:2023-11-15

    Abstract: The present disclosure relates to a sequential local electrical stimulation method. The sequential local electrical stimulation method according to the present disclosure includes determining a number and arrangement of electrodes included in an electrode array according to a structure of a target area, determining stimulation parameters including stimulation intensity, a stimulation sequence, and a stimulation pulse based on the structure of the target area, and sequentially applying stimulation in one direction from an outermost part of the electrode array by using the stimulation parameters.

    ATTACHABLE MICROPHONE AND MANUFACTURING METHOD THEREFOR

    公开(公告)号:US20240417240A1

    公开(公告)日:2024-12-19

    申请号:US18695090

    申请日:2022-09-01

    Abstract: Proposed are an attachable microphone and a manufacturing method therefor. The attachable microphone includes a substrate (100) including a back chamber (110) and a first frame member (120), a back plate part (200) being disposed on the substrate (100) and including a plurality of first through holes (210) and a back plate (220), a first electrode part (300) being disposed on the back plate part (200) and having a plurality of second through holes (310) and a first electrode member (320), a support part (400) being disposed on the first electrode part (300) and including a front chamber (410) and a second frame member (420), a second electrode part (500) being disposed on the support part (400) and including a second electrode member (510), and a diaphragm (600) being disposed on the second electrode part (500) and including a thin film (610).

    COMPUTING DEVICE AND METHOD FOR ASSIGNING GENERATOR TO SEMICONDUCTOR LAYOUT AND METHOD OF TRAINING NEURAL NETWORK

    公开(公告)号:US20240370620A1

    公开(公告)日:2024-11-07

    申请号:US18652685

    申请日:2024-05-01

    Abstract: Provided are a computing device and method for assigning a generator to a semiconductor layout and a method of training a neural network. The former method includes an input operation of receiving a layout by a computing device, a division operation of dividing the layout into a plurality of channels, a conversion operation of converting each of the divided channels into a matrix, and an inference operation of inferring a generator to be assigned to the layout from the matrix. The inference operation is performed by displaying one or more generator candidates corresponding to the received layout. The assignment operation is performed by assigning a generator to the received layout based on the probability results of the inference operation.

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