Positioning method, positioning apparatus of mobile device and electronic device

    公开(公告)号:US11244473B2

    公开(公告)日:2022-02-08

    申请号:US16716801

    申请日:2019-12-17

    Inventor: Shuai Yang

    Abstract: A positioning method of a mobile device includes: determining a first position and orientation parameter of a mobile device when a current frame image is captured, and determining a straight line corresponding to a preset sign in the current frame image; determining a plurality of second position and orientation parameters based on the first position and orientation parameter; determining, in a high-definition map, point cloud data within a preset range of a geographic location when the current frame image is captured; converting the point cloud data within the preset range into a pixel plane-coordinate system to obtain a plurality of second image coordinate sets; determining, based on distances from image coordinates in the plurality of second image coordinate sets to the straight line, a position and orientation parameter of the mobile device when the current frame image is captured among the plurality of second position and orientation parameters.

    Electrochemical oxygenation of hydrocarbons

    公开(公告)号:US11242602B2

    公开(公告)日:2022-02-08

    申请号:US16619781

    申请日:2018-06-06

    Abstract: This invention is directed to a method of oxygenating hydrocarbons with molecular oxygen, O2, as oxidant under electrochemical reducing conditions, using polyoxometalate compounds based on the so-called Keplerate capsules, such as [{(WVI)WVI5O21(SO4)}12{(Fe(H2O))30}(SO4)13(H2O)34]32− or [{(MoVI)MoVI5O21)(X′1)6}12{FeIII(H2O)(X1)}30] or solvates thereof as catalysts, wherein X′1 and X1 are each independently selected from H2O, Mo2O82−, Mo2O92−, CH3COO− (acetate), or any combination thereof.

    Method for generating neural network and electronic device

    公开(公告)号:US11195098B2

    公开(公告)日:2021-12-07

    申请号:US16666344

    申请日:2019-10-28

    Abstract: Disclosed are a method for generating a neural network, an apparatus thereof, and an electronic device. The method includes: obtaining an optimal neural network and a worst neural network from a neural network framework by using an evolutionary algorithm; obtaining an optimized neural network from the optimal neural network by using a reinforcement learning algorithm; updating the neural network framework by adding the optimized neural network into the neural network framework and deleting the worst neural network from the neural network framework; and determining an ultimately generated neural network from the updated neural network framework. In this way, a neural network is optimized and updated from a neural network framework by combining the evolutionary algorithm and the reinforcement learning algorithm, thereby automatically generating a neural network structure rapidly and stably.

    Method for Modeling and Designing a Helical Spring

    公开(公告)号:US20210374301A1

    公开(公告)日:2021-12-02

    申请号:US17315540

    申请日:2021-05-10

    Inventor: Gen Li

    Abstract: A method of modeling and designing a helical spring, the helical spring including a top end turn (1), a top transition turn (2), an active turn (3), a bottom transition turn (4), and a bottom end turn (5) from top to bottom, the method including: utilizing first interpolation to determine the radius (R3) of the active turn (3), wherein the active turn (3) is as a function of the longitudinal overall length (L) of the helical spring; and utilizing second interpolation to determine the radius (R2) and the z-coordinate position (Z2) of the top transition turn (2) and the radius (R2) and the z-coordinate position (Z2) of the bottom transition turn (4), wherein each of the z-coordinate position (Z3(θ, L)) of the active turn (3), the radius (R2) and the z-coordinate position (Z2) of the top transition turn (2) and the radius (R2), and the z-coordinate position (Z2) of the bottom transition turn (4) is as a function of the longitudinal overall length (L) and the twist angle (θ) of the helical spring.

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