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    SECURITY AUTHENTICATION METHOD, SYSTEM AND DEVICE FOR IOV COMMUNICATION BASED ON NATIONAL CRYPTOGRAPHIC ALGORITHM
    71.
    发明公开
    SECURITY AUTHENTICATION METHOD, SYSTEM AND DEVICE FOR IOV COMMUNICATION BASED ON NATIONAL CRYPTOGRAPHIC ALGORITHM 审中-公开

    公开(公告)号：US20240241938A1

    公开(公告)日：2024-07-18

    申请号：US18579848

    申请日：2023-02-07

    Applicant: NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY

    Inventor： Yong QI ,  Mingjun LIU

    IPC: G06F21/33 ,  G06F7/58 ,  G06F21/45 ,  G06F21/60

    CPC classification number: G06F21/33 ,  G06F7/588 ,  G06F21/45 ,  G06F21/602

    Abstract: The present disclosure provides a security authentication method, system and device for IoV communication based on a national cryptographic algorithm. The method of the present disclosure includes: constructing, by an on-board unit, an identity authentication request message for transmitting to a road side unit; receiving, by the on-board unit, an identity authentication response message, and verifying a signature; and if the verification is successful, calculating, by the on-board unit, a session key and a hash value thereof, and constructing an acknowledgment message for transmitting to the road side unit, where the acknowledgment message is used in calculating a session key and a hash value thereof by the road side unit for contrast verification; if hash values are equal, security authentication is successful and a session key is generated; and if the hash values are not equal, the security authentication is failed.

    MOTOR ROTOR, DRIVE MOTOR, AND ELECTRIC VEHICLE
    72.
    发明公开
    MOTOR ROTOR, DRIVE MOTOR, AND ELECTRIC VEHICLE 审中-公开

    公开(公告)号：US20240097513A1

    公开(公告)日：2024-03-21

    申请号：US18521906

    申请日：2023-11-28

    Applicant: Huawei Digital Power Technologies Co., Ltd. ,  Nanjing University of Science and Technology

    Inventor： Weiwei Geng ,  Chaoqiang Wu ,  Jinhua Chen ,  Zhao Zhou

    IPC: H02K1/2798 ,  H02K1/28 ,  H02K21/24

    CPC classification number: H02K1/2798 ,  H02K1/28 ,  H02K21/24

    Abstract: This application relates to the field of motor technologies, and provides a motor rotor, a drive motor, and an electric vehicle. In the motor rotor, a rotor core with at least two protruding components is designed. At least two magnetic steels and at least two sheets are disposed in grooves between the at least two protruding components and then coupled to the rotor core with a rotor pressing plate. In addition, one SMC sheet is stacked on each of the magnetic steels, so that an eddy current loss of a permanent magnet can be effectively reduced. Each of the magnetic steels is disposed in a groove between protruding components, and the SMC sheet is added, so that a saliency ratio is increased, a reluctance torque ratio is increased, and a quantity of magnetic steels for use is reduced.

    Deep learning-based temporal phase unwrapping method for fringe projection profilometry
    73.
    发明授权
    Deep learning-based temporal phase unwrapping method for fringe projection profilometry 有权

    公开(公告)号：US11906286B2

    公开(公告)日：2024-02-20

    申请号：US17280464

    申请日：2019-07-05

    Applicant: Nanjing University of Science and Technology

    Inventor： Qian Chen ,  Chao Zuo ,  Shijie Feng ,  Yuzhen Zhang ,  Guohua Gu

    IPC: G01B11/25 ,  G06N3/04 ,  G06N3/08 ,  G06N3/049

    CPC classification number: G01B11/25 ,  G06N3/049 ,  G06N3/08

    Abstract: The invention discloses a deep learning-based temporal phase unwrapping method for fringe projection profilometry. First, four sets of three-step phase-shifting fringe patterns with different frequencies (including 1, 8, 32, and 64) are projected to the tested objects. The three-step phase-shifting fringe images acquired by the camera are processed to obtain the wrapped phase map using a three-step phase-shifting algorithm. Then, a multi-frequency temporal phase unwrapping (MF-TPU) algorithm is used to unwrap the wrapped phase map to obtain a fringe order map of the high-frequency phase with 64 periods. A residual convolutional neural network is built, and its input data are set to be the wrapped phase maps with frequencies of 1 and 64, and the output data are set to be the fringe order map of the high-frequency phase with 64 periods. Finally, the training dataset and the validation dataset are built to train and validate the network. The network makes predictions on the test dataset to output the fringe order map of the high-frequency phase with 64 periods. The invention exploits a deep learning method to unwrap a wrapped phase map with a frequency of 64 using a wrapped phase map with a frequency of 1 and obtain an absolute phase map with fewer phase errors and higher accuracy.

    Single vector-based finite control set model predictive control method of two parallel power converters
    74.
    发明授权
    Single vector-based finite control set model predictive control method of two parallel power converters 有权

    公开(公告)号：US11848624B2

    公开(公告)日：2023-12-19

    申请号：US18127061

    申请日：2023-03-28

    Applicant: Nanjing University of Science and Technology

    Inventor： Zhiyong Zeng ,  Li Yang ,  Zhen Cui ,  Xiaoliang Jin ,  Lei Li ,  Diming Zhang

    IPC: H02M7/5387 ,  H02M7/493

    CPC classification number: H02M7/53876 ,  H02M7/493 ,  H02M7/5387

    Abstract: This invention proposes a single-vector-based finite control set model predictive control for two parallel power converters, which adopts a centralized control structure to achieve accurate control of overall performance. It establishes predictive models for line currents and three phase-circulating currents and constructs a novel cost function that uses these currents as performance indices to implement the predictive control algorithm based on the proposed predictive models. The invention proposes dynamic weighting coefficients and adjustment principles to improve system control performance. A finite set output signal matrix containing important characteristic information of all alternative vectors is constructed to avoid redundant calculations in each control horizon, reducing computation time during practical implementation. This invention addresses the limitations of existing one-vector-based FCS-MPC for two paralleled power converters, which controls each sub-converter individually with a set of available eight control actions and cannot effectively regulate the overall performance of the two paralleled power converters.

    A MINIATURIZED, LOW-COST, MULTI-CONTRAST LABEL-FREE MICROSCOPE IMAGING SYSTEM
    75.
    发明公开
    A MINIATURIZED, LOW-COST, MULTI-CONTRAST LABEL-FREE MICROSCOPE IMAGING SYSTEM 审中-公开

    公开(公告)号：US20230359010A1

    公开(公告)日：2023-11-09

    申请号：US18026276

    申请日：2021-08-18

    Applicant: Nanjing University of Science and Technology

    Inventor： Qian Chen ,  Chao Zuo ,  Jiasong Sun ,  Shijie Feng ,  Yuzhen Zhang ,  Guohua Gu

    IPC: G02B21/14 ,  G02B21/00

    CPC classification number: G02B21/14 ,  G02B21/0008 ,  G02B21/0032 ,  G02B21/008

    Abstract: The invention discloses a miniaturized, low-cost, multi-contrast label-free microscopic imaging system. The imaging system is based on an inverted microscopic structure, a highly integrated optical system is designed by adopting a micro lens having a fixed focal length, and a complex optical system of a traditional microscope system is replaced, such that the whole microscope is highly integrated. The system uses a programmable LED array as an illumination light source the LED array is controlled by a computer to display different illumination modes, six imaging functions of a bright field, a dark field a rainbow dark field, Rheinberg optical dyeing, differential phase contrast, and quantitative phase imaging are achieved; and diversified unmarked imaging methods are provided for biological applications. The invention provides a matching control system, which can realize system hardware control and algorithm execution and display, comprises functions such as illumination control, camera parameter adjustment quantitative phase reconstruction recovery, two-dimensional/three-dimensional result display, and quantitative profile analysis, and can realize diversified information obtaining and analysis of unmarked samples.

    3D diffraction tomography microscopy imaging method based on LED array coded illumination
    77.
    发明授权
    3D diffraction tomography microscopy imaging method based on LED array coded illumination 有权

    公开(公告)号：US11781966B2

    公开(公告)日：2023-10-10

    申请号：US17289605

    申请日：2019-07-05

    Applicant: Nanjing University of Science and Technology

    Inventor： Chao Zuo ,  Qian Chen ,  Jiaji Li ,  Jiasong Sun ,  Yao Fan ,  Shijie Feng ,  Yuzhen Zhang

    IPC: G01N15/14

    CPC classification number: G01N15/1434 ,  G01N15/1468 ,  G01N2015/145 ,  G01N2015/1445

    Abstract: The present invention discloses a three-dimensional diffraction tomography microscopy imaging method based on LED array coded illumination. Firstly, acquiring the raw intensity images, three sets of intensity image stacks are acquired at different out-of-focus positions by moving the stage or using electrically tunable lens. And then, after acquiring the intensity image stacks of the object to be measured at different out-of-focus positions, the three-dimensional phase transfer function of the microscopy imaging system with arbitrary shape illumination is derived. Further, the three-dimensional phase transfer function of the microscopic system under circular and annular illumination with different coherence coefficients is obtained as well, and the three-dimensional quantitative refractive index is reconstructed by inverse Fourier transform of the three-dimensional scattering potential function. The scattering potential function is converted into the refractive index distribution. Thus, the quantitative three-dimensional refractive index distribution of the test object is obtained. The invention realizes high-resolution and high signal-to-noise ratio 3D diffraction tomography microscopic imaging of cells, tiny biological tissues and other samples.

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