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207 条记录 (耗时 0.023 秒)

    Method and apparatus for controlling a motor in a mass storage device
    83.
    发明授权
    Method and apparatus for controlling a motor in a mass storage device 有权
    用于控制大容量存储装置中的电动机的方法和装置

    公开(公告)号：US6163118A

    公开(公告)日：2000-12-19

    申请号：US197243

    申请日：1998-11-20

    申请人： Hao Chen ,  Gregory Swize ,  Bertram John White

    发明人： Hao Chen ,  Gregory Swize ,  Bertram John White

    IPC分类号： H02P6/16 ,  G11B19/20 ,  G11B19/28 ,  H02P27/02 ,  H02K23/00

    CPC分类号： G11B19/28

    摘要： A method of detecting phase error between a phase current and a driving voltage includes generating a signal indicative of the phase current. The method includes identifying a time interval during which the signal indicative of the phase current is generally symmetric about a midpoint of the time interval when the phase error is approximately zero. The method further includes determining the extent to which the signal indicative of the phase current is symmetric about the midpoint of the time interval. Finally, in response to determining the extent to which the signal indicative of the phase current is symmetric, the method includes generating phase error information.

    摘要翻译： 检测相电流和驱动电压之间的相位误差的方法包括产生表示相电流的信号。 该方法包括识别当相位误差近似为零时，指示相电流的信号大致对称于时间间隔的中点的时间间隔。 该方法还包括确定指示相电流的信号在时间间隔的中点对称的程度。 最后，响应于确定指示相电流的信号的对称程度，该方法包括产生相位误差信息。

    Constructing shape skeletons of 3D objects using generalized Voronoi diagrams
    84.
    发明授权
    Constructing shape skeletons of 3D objects using generalized Voronoi diagrams 失效
    使用广义Voronoi图构建3D对象的形状骨架

    公开(公告)号：US6133921A

    公开(公告)日：2000-10-17

    申请号：US862217

    申请日：1997-05-23

    申请人： George M. Turkiyyah ,  Duane W. Storti ,  Mark A. Ganter ,  Hao Chen

    发明人： George M. Turkiyyah ,  Duane W. Storti ,  Mark A. Ganter ,  Hao Chen

    IPC分类号： G06T17/20 ,  G06T17/00

    CPC分类号： G06T17/20

    摘要： Starting with a solid model of a 3D object, an accurate skeleton is produced by minimizing internal and edge errors of an initial approximate skeleton. To produce the initial approximate skeleton, the boundary of the solid is densely sampled to obtain a set of surface data points. Delaunay triangulation is performed on the surface data points and exterior and spurious tetrahedra are removed, leaving substantially interior tetrahedra. Circumspheres are constructed that enclose the tetrahedra, and the centers of the circumspheres are connected based on tetrahedra adjacency, to form a Voronoi diagram. Closed Voronoi cells are identified comprising the initial approximate skeleton. The position of skeleton interior vertices are then adjusted to minimize their error, producing a refined polygonal approximation of the skeleton interior geometry. Positions of the skeleton edge vertices are adjusted to minimize the edge error, yielding an accurate polygonal approximation of the skeleton.

    摘要翻译： 从3D对象的实体模型开始，通过最小化初始近似骨架的内部和边缘错误来生成精确的骨架。 为了产生初始近似骨架，固体的边界被密集采样以获得一组表面数据点。 Delaunay三角测量在表面数据点进行，外部和虚拟四面体被去除，留下基本上内四面体。 构造围绕四面体的环形球，并且圆球的中心基于四面体相邻连接，以形成Voronoi图。 确定包含初始近似骨架的封闭Voronoi细胞。 然后调整骨骼内部顶点的位置以最小化其误差，从而产生骨架内部几何的精确多边形近似。 调整骨架边缘顶点的位置以最小化边缘误差，从而产生骨架的精确多边形近似。

    Mobile phone charging station
    85.
    外观设计
    Mobile phone charging station 有权

    公开(公告)号：USD1019548S1

    公开(公告)日：2024-03-26

    申请号：US29839680

    申请日：2022-05-23

    申请人： Hao Chen

    设计人： Hao Chen

    摘要： FIG. 1 is a perspective view of a mobile phone charging station, showing the claimed design;
    FIG. 2 is a top plan view thereof;
    FIG. 3 is a rear elevational view thereof;
    FIG. 4 is a left side view thereof;
    FIG. 5 is a front elevational view thereof;
    FIG. 6 is a right side view thereof; and,
    FIG. 7 is a bottom plan view thereof.
    The broken lines depict portions of the mobile phone charging station that form no part of the claimed design.

    Object detection using radar and machine learning
    88.
    发明授权
    Object detection using radar and machine learning 有权

    公开(公告)号：US10353053B2

    公开(公告)日：2019-07-16

    申请号：US15262947

    申请日：2016-09-12

    申请人： Mohsen Rohani ,  Song Zhang ,  Hao Chen

    发明人： Mohsen Rohani ,  Song Zhang ,  Hao Chen

    IPC分类号： G01S7/41 ,  G01S13/86 ,  G01S13/89 ,  G01S17/89 ,  G06N20/00

    摘要： A method and system for using one or more radar systems for object detection based on machine learning in an environment is disclosed. A scanning radar or combination of radars mounted on a vehicle or moving object scans the environment to acquire information. The radar data may be a 3D point cloud, 2D radar image or 3D radar image. The radar data may also be combined with data from LIDAR, vision or both. A machine learning algorithm is then applied to the acquired data to detect dynamic or static objects within the environment, and identify at least one object feature comprising one of a type, location, distance, orientation, size or speed of an object.