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    Method of searching for points of closest approach, and preprocessing method therefor
    3.
    发明授权
    Method of searching for points of closest approach, and preprocessing method therefor 失效
    搜索最接近点的方法及其预处理方法

    公开(公告)号：US5675720A

    公开(公告)日：1997-10-07

    申请号：US710550

    申请日：1996-09-19

    申请人： Yuichi Sato ,  Mitsunori Hirata ,  Tsugito Maruyama ,  Fumio Nagashima

    发明人： Yuichi Sato ,  Mitsunori Hirata ,  Tsugito Maruyama ,  Fumio Nagashima

    IPC分类号： G06T17/00 ,  G06T17/20

    CPC分类号： G06T17/20 ,  G06T17/00 ,  Y10S345/958

    摘要： A method of searching for a point of closest approach between two convex polyhedrons K.sub.1, K.sub.2, wherein each convex polyhedron is expressed by creating directed-graph structure data. The method uses a processing unit for searching for points of closest approach. The method includes the step of successively obtaining points of closest approach to a difference convex polyhedron, which is a difference of sets (K.sub.1 -K.sub.2) between the two convex polyhedrons K.sub.1, K.sub.2, and finally obtaining the point of closest approach on each convex polyhedron K.sub.1, K.sub.2. In the evaluation of inner products executed in the course of searching for points of closest approach, the method further includes the step of judging whether the point of closest approach on each convex polyhedron corresponding to the successively obtained point of closest approach to the difference convex polyhedron resides on a vertex, edge or polygon. This judging step is also performed by the processing unit. In each particular case, the vertices used in the inner-product evaluation are obtained from the directed-graph structure data and the inner product evaluation is performed using the position vectors of these vertices.

    摘要翻译： 搜索两个凸多面体K1，K2之间最接近的点的方法，其中每个凸多面体通过产生有向图结构数据来表示。 该方法使用处理单元来搜索最接近的点。 该方法包括以下步骤：连续获得最差接近差异凸多面体的点，该差异凸多面体是两个凸多面体K1，K2之间的集合（K1-K2）的差异，并且最终获得每个凸多面体最接近的点 K1，K2。 在对最接近点的搜索过程中执行的内部产品的评估中，该方法还包括以下步骤：判断每个凸多面体最接近的点对应于连续得到的差分凸多面体接近点 驻留在顶点，边缘或多边形上。 该判断步骤也由处理单元执行。 在每个特定情况下，从有向图结构数据中获得用于内部产品评价的顶点，并且使用这些顶点的位置向量来执行内部产品评估。

    Information equipment for detecting fall
    4.
    发明授权
    Information equipment for detecting fall 有权
    用于检测跌落的信息设备

    公开(公告)号：US08024150B2

    公开(公告)日：2011-09-20

    申请号：US12362910

    申请日：2009-01-30

    申请人： Fumio Nagashima

    发明人： Fumio Nagashima

    IPC分类号： G01P15/00

    CPC分类号： G01P15/0891 ,  G01P15/18 ,  G11B19/043

    摘要： Acceleration is detected by an acceleration sensor in information equipment and information of detected acceleration is compared with a threshold value. Then, if the information of the detected acceleration is equal to or less than the threshold value, it is determined that the information equipment is in a weightless condition.

    摘要翻译： 通过信息设备中的加速度传感器检测加速度，并将检测到的加速度的信息与阈值进行比较。 然后，如果检测到的加速度的信息等于或小于阈值，则确定信息设备处于失重状态。

    Information processing apparatus and GPS positioning method
    5.
    发明授权
    Information processing apparatus and GPS positioning method 失效
    信息处理设备和GPS定位方法

    公开(公告)号：US07269512B2

    公开(公告)日：2007-09-11

    申请号：US11275963

    申请日：2006-02-07

    申请人： Shinichiro Mori ,  Fumio Nagashima

    发明人： Shinichiro Mori ,  Fumio Nagashima

    IPC分类号： G01C21/00

    CPC分类号： G01S5/12 ,  G01C21/00 ,  G01S19/39 ,  G01S19/42

    摘要： An information processing apparatus is configured to measure a Doppler shift in the frequency of a radio wave from a GPS (Global Positioning System) satellite and a pseudo-distance between the satellite and a measuring point by using the signal therefrom, and calculate the position of the measuring point by using the Doppler shift combined with the pseudo-distance

    摘要翻译： 信息处理装置被配置为通过使用来自GPS（全球定位系统）卫星的无线电波的频率和卫星与测量点之间的伪距离来测量多普勒频移，并且计算其位置 测量点通过使用多普勒频移与伪距组合

    Sensor and sensor program storage medium
    6.
    发明申请
    Sensor and sensor program storage medium 审中-公开
    传感器和传感器程序存储介质

    公开(公告)号：US20060184467A1

    公开(公告)日：2006-08-17

    申请号：US11269542

    申请日：2005-11-09

    申请人： Fumio Nagashima

    发明人： Fumio Nagashima

    IPC分类号： G06N3/02

    CPC分类号： G06N3/04

    摘要： A sensor, etc. detects that a dynamically input detected signal has been changed to a signal of a desired pattern, can be structured ina short time, and can be a low-cost sensor. A pattern generator has plural neurons including a neuron for generating output V1 basically by an equation of ɛ 1 ⁢ ⅆ V 1 ⅆ t + V 1 = V 0 where V0 indicates an input, V1 indicates an output, and ε1 indicates a delay. The pattern generator is structured by a recurrent neural network including a loop of a stream of signals. When the pattern generator fetches a detected signal input from the signal input section, and the detected signal is changed to a signal of a desired pattern, an output different from an output obtained when the detected signal has a pattern other than a desired pattern is generated.

    摘要翻译： 传感器等检测到动态输入的检测信号已被改变为期望图案的信号，可以在短时间内构造，并且可以是低成本传感器。 模式发生器具有多个神经元，其基本上由等式 > ⅆ V 1 ⅆ > + V 1 = V 0 其中V < >表示输入，V <1>表示输出，ε1表示延迟。 模式发生器由包括信号流的循环的循环神经网络构成。 当模式发生器从信号输入部分取出检测信号并将检测信号改变为期望图形的信号时，产生不同于当检测信号具有期望图案以外的图案时获得的输出的输出 。

      Neural network learning device, method, and program
      8.
      发明授权
      Neural network learning device, method, and program 失效
      神经网络学习装置，方法和程序

      公开(公告)号：US07895140B2

      公开(公告)日：2011-02-22

      申请号：US12275778

      申请日：2008-11-21

      申请人： Fumio Nagashima

      发明人： Fumio Nagashima

      IPC分类号： G06N5/00

      CPC分类号： G06N3/082 ,  G06N3/088

      摘要： It is possible to acquire existing techniques in a neural network model currently studied and developed so as to generalize them as an element technique, and provide modeling of a basic unit of bottom-up approach using the neural network by adding new values to the existing techniques. A network learning device builds up a network of basic units in a network section, acquires an input from a sensor input section for evaluating it, changes a coupling weight coefficient by using a correlation operation so that the evaluation value satisfies a predetermined evaluation value, and inserts a new neural network according to need.

      摘要翻译： 可以在当前研究和开发的神经网络模型中获取现有技术，以将其概括为元素技术，并且通过向现有技术添加新值来提供使用神经网络的自下而上方法的基本单元的建模 。 网络学习装置在网络部分建立基本单元网络，从传感器输入部分获取输入以进行评估，通过使用相关运算来改变耦合权重系数，使得评估值满足预定的评估值，以及 根据需要插入一个新的神经网络。