Accelerated processing method for deep learning based-panoptic segmentation using a RPN skip based on complexity

    公开(公告)号:US12051230B2

    公开(公告)日:2024-07-30

    申请号:US17623067

    申请日:2020-11-25

    CPC classification number: G06V10/267 G06V10/50

    Abstract: Provided is a deep learning-based panoptic segmentation accelerated processing technique using a complexity-based RPN skip method. An image segmentation system includes: a first processing unit configured to extract dynamic objects in an instance segmentation method by using an extracted feature; a calculation unit configured to control to skip some areas of the feature extracted at the network by the first processing unit, on the basis of complexity of the input image; a second processing unit configured to extract static objects in a semantic segmentation method by using the feature extracted at the network; and a fusion unit configured to fuse a result of extracting by the first processing unit and a result of extracting by the second processing unit. Accordingly, the panoptic segmentation method can be easily performed even in an embedded environment by reducing complexity for panoptic segmentation processing by reducing a calculation burden.

    METHOD FOR DATA INTERWORKING BETWEEN APPLICATION AND IOT DEVICE AND MIDDLEWARE DEVICE FOR PERFORMING THE METHOD

    公开(公告)号:US20240223662A1

    公开(公告)日:2024-07-04

    申请号:US18397739

    申请日:2023-12-27

    Inventor: Tai Gil KWON

    CPC classification number: H04L67/125 G16Y10/75 G16Y40/35

    Abstract: Proposed are a method for data interworking between an application and an IoT device, and a middleware device for performing the method. The method may include generating matching information between an IoT device and a network protocol used by the IoT device based on IoT device profile information, and analyzing a request message received from an application device to extract IoT device information of a request target. The method may also include generating a request packet conforming to a network protocol used by a target IoT device based on the request message, the IoT device information of the target request, and the matching information, and transmitting the request packet to the target IoT device. The method may further include converting a response packet transmitted by the target IoT device in response to the request packet into a response message, and transmitting the response message to the application device.

    MULTI-CHANNEL MICRO PERIPHERAL NERVE SENSOR FOR NEUROSIGNAL MEASUREMENT

    公开(公告)号:US20240215886A1

    公开(公告)日:2024-07-04

    申请号:US18147345

    申请日:2022-12-28

    Abstract: A multi-channel micro peripheral nerve sensor for measuring a neurosignal with low noise is proposed. The multi-channel micro peripheral nerve sensor may include a substrate, an analog-digital (AD) converter, and a signal acquisition unit. The substrate may be combined with each cut surface of a severed nerve and include channels into which nerve cells are inserted. The AD converter may be combined with the substrate, be electrically connected to the channels, receive analog neurosignals from the nerve cells, and convert the analog neurosignals into digital signals. The signal acquisition unit may be electrically connected to the AD converter and acquire the digital signals from the AD converter.

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