MULTI-CHANNEL DRUG DETECTION DEVICE AND METHOD
    501.
    发明公开

    公开(公告)号:US20240219348A1

    公开(公告)日:2024-07-04

    申请号:US18397530

    申请日:2023-12-27

    Abstract: A multi-channel drug detection method is proposed. The method may include inputting an electrical signal of a frequency included in a search range set in sensors of a sensor board, comparing magnitudes of electrical signals output by the sensors, and determining a frequency having the largest magnitude as a resonance frequency, the inputting, comparing, and determining being repeatedly performed. The method may also include determining, as a first resonance frequency, a resonance frequency determined in the inputting, comparing, and determining performed before a sample is inserted, and inserting the sample into the sensor board. The method may further include determining a second resonance frequency by repeating the inputting, comparing, and determining while moving the search range to search for a resonance frequency. The method may further include determining presence of a target material based on a difference between the first resonance frequency and the second resonance frequency.

    High frequency capacitor and manufacturing method thereof

    公开(公告)号:US12014881B2

    公开(公告)日:2024-06-18

    申请号:US17709338

    申请日:2022-03-30

    CPC classification number: H01G4/33 H01G4/005 H01G4/012

    Abstract: The present invention provides a method for manufacturing a high frequency capacitor, including preparing a substrate for formation of the capacitor, forming a dielectric layer at an upper surface of the substrate, forming an upper electrode at an upper surface of the dielectric layer, and removing a portion of a lower surface of the substrate, to expose a lower surface of the dielectric layer, and forming a lower electrode at the lower surface of the dielectric layer. The high frequency capacitor includes a dielectric layer having a uniform surface, a thick upper electrode, and a thick lower electrode and, as such, exhibits high quality factor (Q) even at a high frequency.

    METHOD FOR VERIFYING ACCURACY OF VIRTUAL SENSOR MODEL FOR SIMULATION BASED ON REALITY INFORMATION DATA

    公开(公告)号:US20240194005A1

    公开(公告)日:2024-06-13

    申请号:US18388915

    申请日:2023-11-13

    CPC classification number: G07C5/06 B60W60/00

    Abstract: There is a method for verifying accuracy of a virtual sensor model for simulation based on reality information data. According to an embodiment, a virtual sensor verification method may acquire information on positions and states of real vehicles which are running on a real road, may acquire real sensor data generated in real sensors of a reality information acquisition vehicle from among the real vehicles, may reproduce the real vehicles on a virtual road as virtual vehicles, based on the acquired information on the positions and states, may acquire virtual sensor data outputted from virtual sensors mounted in a virtual information acquisition vehicle from among the virtual vehicles, and may verify the virtual sensors by comparing the acquired real sensor data and the virtual sensor data. Accordingly, accuracy of virtual sensor data which is supplied to a recognition, determination, control algorithm for autonomous driving may be measured and verified, so that accuracy on a result of verifying based on a simulator of an autonomous driving algorithm may be enhanced.

    HUMAN MOTION GENERATION METHOD AND SYSTEM
    508.
    发明公开

    公开(公告)号:US20240193797A1

    公开(公告)日:2024-06-13

    申请号:US18531940

    申请日:2023-12-07

    CPC classification number: G06T7/262 G06F17/16

    Abstract: There are provided a method and a system for generating human motions, which generate motions of an empty frame by using motions in a given frame. A human motion generation method according to an embodiment includes: a first step of transforming, by a system, a domain of pose information of a frame; a second step of generating, by the system, motion features of an empty frame in the transformed domain; and a third step of inversely transforming, by the system, the generated motion features into a time domain. Accordingly, the method and system may effectively generate motions by obtaining a basis vector to be used for transforming a domain of motion trajectory information by training a deep learning-based transform model, transforming a motion trajectory through the basis vector, and inputting the transformed motion trajectory to a motion generation model.

    INTELLIGENT BMC-BASED ON-DEVICE AI INTERWORKING METHOD

    公开(公告)号:US20240160963A1

    公开(公告)日:2024-05-16

    申请号:US18387230

    申请日:2023-11-06

    CPC classification number: G06N5/04

    Abstract: There is provided an intelligent BMC for predicting a fault by interworking on-device AI. A fault prediction method of a BMC according to an embodiment includes: collecting monitoring information regarding computing modules installed on a main board; calculating a FOFL from the collected monitoring data; and constructing an AI model related to the calculated FOFL and predicting a FOFL from the monitoring data. Accordingly, a fault occurring in various patterns may be predicted based on monitoring data by interworking with on-device AI.

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