ENCODER AND OPERATION METHOD THEREOF

    公开(公告)号:US20230068675A1

    公开(公告)日:2023-03-02

    申请号:US17895532

    申请日:2022-08-25

    Abstract: Disclosed is an encoder including event layer outputs first and second event signals, weight layer applies first and second weights to the first and second event signals respectively, and provides the first event signal in which the first weight is applied and the second event signal in which the second weight is applied to first node, and first spike generation circuit generates first input spike signal of which firing period is changed based on voltage level of the first node. The voltage level of the first node is reduced continuously, increases for first voltage corresponding to the first weight in response to the first event signal activated, and increases for second voltage corresponding to the second weight in response to the second event signal activated.

    HUMAN BODY COMMUNICATION RECEIVER AND OPERATING METHOD THEREOF

    公开(公告)号:US20210384929A1

    公开(公告)日:2021-12-09

    申请号:US17237848

    申请日:2021-04-22

    Abstract: Disclosed are a human body communication receiver and an operating method thereof, which may effectively remove low frequency noise. The human body communication receiver according to the present disclosure includes a receiving electrode, a virtual electrode, a filter circuit that is connected between the receiving electrode and the virtual electrode, and removes low frequency noise from a signal received through the receiving electrode to generate a high frequency signal, a low frequency reconstruction circuit that is connected to a rear end of the filter circuit and reconstructs a low frequency baseband signal by rectifying the high frequency signal, and an amplifying circuit that is connected to a rear end of the low frequency reconstruction circuit, and amplifies the low frequency baseband signal.

    ELECTRONIC CIRCUIT FOR IMPLEMENTING GENERATIVE ADVERSARIAL NETWORK USING SPIKE NEURAL NETWORK

    公开(公告)号:US20190392291A1

    公开(公告)日:2019-12-26

    申请号:US16445925

    申请日:2019-06-19

    Abstract: Provided is an electronic circuit for implementing a generative adversarial neural network. The electronic circuit includes a spike converter, a spike image generator, a spike image converter, and an image discriminator. The spike converter generates a first signal including spike signals. The number of the spike signals is determined based on first data associated with second data within a reference time interval. The spike image generator generates a second signal including spike signals being selected based on a weight among the spike signals of the first signal. The image converter converts the spike signals of the second signal to generate third data being represented in an analog domain. The image discriminator provides the spike image generator with result data being associated with a difference between a value of the third data and a value of the second data. The image generator determines the weight based on the result data.

    ELECTRODE SELECTION DEVICE FOR SELECTING OPTIMAL ELECTRODES TO COMMUNICATE WITH CAPSULE ENDOSCOPE, AND OPERATION METHOD THEREOF

    公开(公告)号:US20190335984A1

    公开(公告)日:2019-11-07

    申请号:US16402164

    申请日:2019-05-02

    Abstract: Provided is and electrode selection device communicating with a capsule endoscope. The device includes an analog front end configured to recover first data based on first signals transmitted from the capsule endoscope to a first electrode and a second electrode, recover second data based on second signals transmitted from the capsule endoscope to the first electrode and a third electrode, and recover third data based on third signals transmitted from the capsule endoscope to the second electrode and the third electrode, and a digital receiver configured to calculate a first correlation value between the first and second electrodes, a second correlation value between the first and third electrodes, and a third correlation value between the second and third electrodes based on the first to third data. The digital receiver calculates, among the first to third correlation values, a first correlation sum obtained by adding first and second correlation values generated using the first electrode, a second correlation sum obtained by adding the first and third correlation values generated using the second electrode, and a third correlation sum obtained by adding the second and third correlation values generated using the third electrode, and selects a receiving electrode pair among the first to third electrodes based on the first to third correlation sums.

    BIOMETRIC AUTHENTICATION DEVICE AND FINGERPRINT AUTHENTICATION DEVICE INCLUDING THE SAME

    公开(公告)号:US20230214467A1

    公开(公告)日:2023-07-06

    申请号:US17984398

    申请日:2022-11-10

    CPC classification number: G06F21/32

    Abstract: Disclosed are a biometric authentication device and a fingerprint authentication device including the same. The biometric authentication device includes a clock generator that generates a clock signal, an authentication signal generator that generates an authentication signal based on the clock signal, a transmission electrode that transmits the authentication signal to a contact body, a reception electrode that receives a channel pass signal in which the authentication signal passes through a channel of the contact body, and a biometric authenticator that restores the channel pass signal and compares the restored channel pass signal with the authentication signal to generate a biometric authentication signal indicating whether the contact body is a biological tissue. According to the present disclosure, it is possible to improve the security of a fingerprint authentication device.

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