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    NON-INFRASTRUCTURE ULTRA-WIDEBAND WIRELESS POSITIONING METHOD AND SYSTEM USING LATENCY COMMUNICATION AND OVERHEAR
    152.
    发明公开
    NON-INFRASTRUCTURE ULTRA-WIDEBAND WIRELESS POSITIONING METHOD AND SYSTEM USING LATENCY COMMUNICATION AND OVERHEAR 审中-公开

    公开(公告)号：US20240259949A1

    公开(公告)日：2024-08-01

    申请号：US18421961

    申请日：2024-01-24

    Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

    Inventor： Young Bae KO ,  Jin Su KIM

    IPC: H04W52/02 ,  H04L5/00 ,  H04W48/04

    CPC classification number: H04W52/0277 ,  H04L5/0048 ,  H04W48/04

    Abstract: Disclosed herein non-infrastructure ultra-wideband wireless positioning method and system using latency communication and overhear. The method includes: receiving a ranging message transmitted from other active devices; measuring a location of an active device by using data obtained from the ranging message; checking a remaining amount of power of the active device and creating a ranging message by using the remaining amount of power of the active device and the obtained data; and transmitting the created ranging message to the other active devices. When a request of device change is received from a first passive device based on a remaining amount of power of a passive device overhearing the ranging message and the remaining amount of power of the active device, a response for changing the first passive device to an active device is provided, and the active device itself changes from an active device to a passive device.

    ACOUSTIC METAMATERIAL-BASED MUFFLER FOR EXHAUST NOISE REDUCTION
    155.
    发明公开
    ACOUSTIC METAMATERIAL-BASED MUFFLER FOR EXHAUST NOISE REDUCTION 审中-公开

    公开(公告)号：US20240167403A1

    公开(公告)日：2024-05-23

    申请号：US18517295

    申请日：2023-11-22

    Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION ,  THE CENTER FOR ADVANCED META-MATERIALS

    Inventor： Jin Woo LEE ,  Gyeong Ju LEE

    IPC: F01N1/24

    CPC classification number: F01N1/24

    Abstract: The present disclosure provides an acoustic metamaterial-based muffler for exhaust noise reduction, including an exhaust flow body that is provided with an inlet through which exhaust gas of an internal combustion engine flows in on one side, and an outlet through which the exhaust gas flows out on the other side, and a flow passage for guiding a movement of the exhaust gas therein; and a plurality of noise reduction units that are sequentially disposed along a discharge direction of the exhaust gas inside the exhaust flow body to reduce noise in a specific frequency band in exhaust noise of the exhaust gas caused by the movement of the exhaust gas on the inside of the exhaust flow body.

    ELECTRONIC DEVICE FOR IMPROVING INFERENCE PERFORMANCE OF PRE-TRAINED LANGUAGE MODEL, METHOD THEREOF AND RECORDING MEDIUM
    160.
    发明公开
    ELECTRONIC DEVICE FOR IMPROVING INFERENCE PERFORMANCE OF PRE-TRAINED LANGUAGE MODEL, METHOD THEREOF AND RECORDING MEDIUM 审中-公开

    公开(公告)号：US20240111965A1

    公开(公告)日：2024-04-04

    申请号：US18476598

    申请日：2023-09-28

    Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

    Inventor： Tae-Sun Chung ,  Zhen Zhang

    IPC: G06F40/40

    CPC classification number: G06F40/40

    Abstract: The electronic device for improving the inference performance of a pre-trained language model according to an exemplary embodiment of the present invention includes a processor for sequentially passing input data through a plurality of transformer layers of the pre-trained language model and obtaining output data, wherein the processor calculates a probability distribution for prediction results received from each transformer layer in each of a plurality of middle layers connected to each rear end of the plurality of transformer layers, and measures a confidence level of the prediction results based on an entropy value calculated by using the probability distribution, and wherein when a confidence level less than a predefined value is measured in a predefined number of consecutive middle layers among the plurality of middle layers, the processor outputs a prediction result of the first middle layer as the output data by taking the last first middle layer among the consecutive middle layers as an exit.

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