METHOD FOR ANALYZING BIO-SUBSTANCE
    181.
    发明申请

    公开(公告)号:US20220334105A1

    公开(公告)日:2022-10-20

    申请号:US17604010

    申请日:2019-11-26

    Abstract: A bio-substance analysis method using a sensing substrate having a fluid channel is disclosed. The method includes mixing retroreflective particles with a detection solution containing a target bio-substance, wherein a first bio-recognition substance selectively reacting with the target bio-substance is modified on the retroreflective particles; placing the sensing substrate so that a bottom is located under a cover in a direction of gravity; injecting the detection solution containing therein the retroreflective particles into a fluid channel and maintaining the solution in the channel for a first time duration; turning the sensing substrate upside down so that the bottom is located above the cover in the direction of gravity and maintaining the sensing substrate in the turned state for a second time duration; irradiating light into the fluid channel through the bottom; and generating and analyzing an image based on light retroreflected from the retroreflective particles.

    APPARATUS AND METHOD FOR SUCCESSIVE CANCELLATION FLIP DECODING OF POLAR CODE

    公开(公告)号:US20220329350A1

    公开(公告)日:2022-10-13

    申请号:US17717766

    申请日:2022-04-11

    Abstract: Disclosed are an apparatus and method for successive cancellation flip decoding of a polar code. The apparatus for successive cancellation flip decoding of a polar code according to an embodiment includes an iterative unit subtotal matrix generator configured to generate an iterative unit subtotal matrix corresponding to a preset iterative unit size based on a portion of an entire subtotal matrix, a selection logic configured to determine one or more selection bits based on a bit string representing a position of a bit returned when re-decoding and generate an auxiliary matrix for generating the entire subtotal matrix from the one or more selection bits, and an entire subtotal matrix generator configured to generate the entire subtotal matrix by using the iterative unit subtotal matrix and the auxiliary matrix.

    APPARATUS AND METHOD FOR PROCESSING IMAGE

    公开(公告)号:US20220292647A1

    公开(公告)日:2022-09-15

    申请号:US17694988

    申请日:2022-03-15

    Abstract: There are disclosed an apparatus and method for processing images. The apparatus for processing images according to an embodiment includes an image input unit configured to receive a first image of a Bayer pattern including noise and an image output unit configured to output a noise-removed image by removing noise from the first image using a noise removal model, and the noise removal model includes a color correlation block configured to generate a second image of the Bayer pattern including RGB correlation information about the first image from the first image by performing rearrange and convolution operations on the first image, a discrete cosine transform (DCT) block configured to generate a third image in which a high-frequency component of the first image is highlighted by applying a DCT to the first image, and one or more discrete wavelet transform (DWT) blocks configured to generate a low-frequency feature map and one or more high-frequency feature maps by applying a DWT to a first feature map generated based on the first image, the second image, and the third image, and generate a final feature map in which a high-frequency component and a low-frequency component of the first feature map are highlighted based on the low-frequency feature map and the one or more high-frequency feature maps.

    Method and apparatus for detecting abnormal traffic pattern

    公开(公告)号:US11444876B2

    公开(公告)日:2022-09-13

    申请号:US17120390

    申请日:2020-12-14

    Abstract: An operating method of a computing device operated by at least one processor includes collecting traffic packets; extracting particular field data from the traffic packets, transforming the extracted particular field data to a vector with a reduced dimension for each traffic packet, and creating training data with the vector for each traffic packet; training a traffic prediction model with the training data, the traffic prediction model predicting from an input traffic packet a next input traffic packet and whether the next input traffic packet is abnormal; and predicting with the trained traffic prediction model a frequency of abnormal traffic packets to be input, and outputting an abnormal traffic warning by comparing the predicted frequency and a threshold.

    MICRONEEDLE STAMP DEVICE FOR INJECTING LIQUID MEDICINE

    公开(公告)号:US20220280764A1

    公开(公告)日:2022-09-08

    申请号:US17633426

    申请日:2020-08-06

    Inventor: In Su PARK

    Abstract: The present invention provides a microneedle stamp device for injecting liquid medicine; a carboxy cartridge provided in the main body portion; a liquid medicine storage portion provided outside the main body portion and connected to the carboxy cartridge; a needle portion connected to the carboxy cartridge and the liquid medicine storage portion; a power portion provided in the grip; a connection portion configured to connect the carboxy cartridge to the needle portion; and a contact plate provided at the contact end of the main body portion, wherein, when the contact plate comes into contact with the skin of the treatment subject, the contact plate slidingly moves to the inside of the contact end to apply an external force to the power portion to operate the power portion to supply the liquid medicine and the carbon dioxide to the needle portion.

    CONVOLUTION METHOD FOR HIGH SPEED DEEP LEARNING

    公开(公告)号:US20220222316A1

    公开(公告)日:2022-07-14

    申请号:US17291186

    申请日:2019-08-21

    Abstract: A convolution method for high speed deep learning according to the present invention includes (a) a step in which a feature map receiving unit of the convolution system receives a feature map configured by N channels; (b) a step in which a main controller of the convolution system selects a “0”-th channel from the feature map configured by N channels; (c) a step in which the main controller confirms a coordinate in which x, y coordinate is “0”, from the feature map of the “0”-th channel; (d) a coarse step in which a convolution calculating unit of the convolution system performs a convolution operation and a rectified linear unit (ReLU) operation while shifting by 2 in a horizontal direction and a vertical direction in the feature map; (e) a step in which the channel switching unit of the convolution system switches the channel to a subsequent channel when the coarse step is completed for the feature map of the “0”-th channel; (g) a step in which the main controller determines whether the switched channel is greater or less than N; and (g) a step in which if the channel switched in step (0 is greater than N, the main controller determines that the convolution operation for all channels has been completed and outputs the feature map by means of a feature map output unit. By doing this, the convolution operation which occupies most of the convolution neural network is reduced to increase inference speed in the deep learning.

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