会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • TECHNOLOGIES FOR PEDESTRIAN DEAD RECKONING
    • PEDESTRIAN DEAD RECKONING技术
    • WO2016206119A1
    • 2016-12-29
    • PCT/CN2015/082562
    • 2015-06-26
    • INTEL CORPORATIONHAN, KeWANG, XunCAI, XiaodongLI, Liang
    • HAN, KeWANG, XunCAI, XiaodongLI, Liang
    • G01C21/16
    • G01C22/006G01C21/16H04W4/02
    • Technologies for determining a user's location include a mobile computing device(100) to determine, based on sensed inertial characteristics of the device, a walking gait of a user. The walking gait is one of a first gait indicative of the user holding the device to the user's side or a second gait indicative of the user swinging the device along the user's side. The device further detects that the user has taken a physical step based on the inertial characteristics and the determined walking gait of the user, and determines a raw directional heading of the device indicative of a direction of the physical step. The device determines an estimated location of the user based on the determined raw directional heading, an estimated step length, and the user's previous location.
    • 用于确定用户位置的技术包括移动计算设备(100),用于基于感测到的设备的惯性特性来确定用户的步行步态。 步行步态是指示用户将设备保持到用户侧的第一步态或指示用户沿用户侧摆动设备的第二步态之一。 该装置进一步检测用户已经基于惯性特性和所确定的用户行走步态进行了物理步骤,并且确定指示物理步骤的方向的设备的原始方向方位。 设备基于所确定的原始方向标题,估计的步长和用户的先前位置来确定用户的估计位置。
    • 6. 发明申请
    • SYSTEM AND METHOD FOR CLUSTERING DATA
    • 用于聚集数据的系统和方法
    • WO2003063030A1
    • 2003-07-31
    • PCT/US2003/001806
    • 2003-01-22
    • SYNGENTA PARTICIPATIONS AGZOU, GuangzhouWANG, XunSU, Zhen
    • ZOU, GuangzhouWANG, XunSU, Zhen
    • G06F17/30
    • G06K9/6218G06Q10/10
    • System and method cluster data by searching clusters through simultaneous state transition operation and constructing a cluster hierarch by continuous parameter changes. Parallel systems and methods may be used. A data set is created (130) from the data point by applying selected cluster parameter values. After assigning a different initial state value to each data point in the data set (140), the state value for each data point in the data set is updated according to one or more rules that are related to the cluster parameters. After the update process has been applied to the entire data set (150), the update process is repeated for the entire data set until the state value of respective data points in the data set have stabilized. Data clusters can be formed as a function of the stabilized state values. The process can be repeated for different cluster parameter values (190).
    • 通过同步状态转换操作搜索群集并通过连续参数变化构建群集层次,实现系统和方法的群集数据。 可以使用并行系统和方法。 通过应用所选择的聚类参数值从数据点创建数据集(130)。 在对数据集(140)中的每个数据点分配不同的初始状态值之后,根据与集群参数相关的一个或多个规则来更新数据集中每个数据点的状态值。 在将更新处理应用于整个数据集(150)之后,针对整个数据集重复更新处理,直到数据集中各个数据点的状态值稳定为止。 数据簇可以形成为稳定状态值的函数。 可以针对不同的聚类参数值重复该过程(190)。