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1. 发明授权

US07685157B2 Extraction of information from structured documents 有权
公开(公告)号：US07685157B2
公开(公告)日：2010-03-23
申请号：US10463521
申请日：2003-06-18
申请人： Tadasu Uchiyama , Masaru Miyamoto
发明人： Tadasu Uchiyama , Masaru Miyamoto
IPC分类号： G06F7/00 , G06F17/00 , G06F17/20
CPC分类号： G06F17/30899 , G06F17/218 , G06F17/2247 , G06F17/3061 , G06F17/30864 , G06F17/30896 , G06F17/30911 , G06F17/30914
摘要： A method of extracting information from a structured document includes the steps of assigning a partial tree identifier inclusive of a tag identifier to a selected partial tree wherein the tag identifier includes a name of a tag corresponding to a root of the selected partial tree, a name of at least one format attribute of the tag, and a value of the at least one format attribute, arranging names of format attributes in a predetermined order in the tag identifier if the at least one format attribute of the tag includes two or more format attributes, and identifying a partial tree having a partial tree identifier identical to the partial tree identifier of the selected partial tree from a list of partial tree identifiers of partial trees that exist in the structured document after updating thereof.

2. 发明授权

US5781661A Handwritting information detecting method and apparatus detachably holding writing tool 失效
标题翻译：手写信息检测方法和装置可拆卸地保持书写工具
公开(公告)号：US5781661A
公开(公告)日：1998-07-14
申请号：US495837
申请日：1995-06-28
申请人： Akira Hiraiwa , Masaaki Fukumoto , Tadasu Uchiyama , Noboru Sonehara , Shigeru Oikawa
发明人： Akira Hiraiwa , Masaaki Fukumoto , Tadasu Uchiyama , Noboru Sonehara , Shigeru Oikawa
IPC分类号： G06K9/00
CPC分类号： G06K9/00154
摘要： The purpose of the present invention is to provide a handwriting information detecting method and apparatus for the same, in which a user can choose any handwriting tool such as a pen or a pencil, and when the user writes with the tool, the handwriting information can be detected. The handwriting information detecting method of the present invention comprises steps of detecting a motion of a writing tool, held by a writing tool holder comprising at least one acceleration sensor, based on at least one acceleration signal output from the at least one acceleration sensor when the writing tool is grasped by fingers; and recognizing handwriting information of a character or a figure written by the writing tool according to the detected motion thereof, and outputting the information. Preferably, the step of detecting a motion of a writing tool further comprises steps of detecting pressure acting on the tip of a finger which grasps the writing tool; and judging the motion of the writing tool according to the detected pressure. The handwriting information detecting apparatus of the present invention comprises a writing tool holder for detachably holding a writing tool; at least one acceleration sensor, provided at the writing tool holder, for detecting acceleration of the writing tool which is grasped by fingers; and a handwriting information recognition circuit for recognizing information of handwriting performed by the writing tool based on the output of the at least one acceleration sensor.
摘要翻译：本发明的目的是提供一种手写信息检测方法和装置，其中用户可以选择诸如笔或铅笔的任何手写工具，并且当用户用工具写入时，手写信息可以被检测。本发明的手写信息检测方法包括以下步骤：基于从至少一个加速度传感器输出的至少一个加速度信号，检测由包括至少一个加速度传感器的书写工具保持器保持的书写工具的运动，当至少一个加速度传感器书写工具由手指掌握; 以及根据检测到的运动识别由书写工具书写的字符或图形的笔迹信息，并输出该信息。优选地，检测书写工具的运动的步骤还包括检测作用在抓握书写工具的手指的尖端上的压力的步骤; 以及根据检测到的压力来判断书写工具的运动。本发明的手写信息检测装置包括：用于可拆卸地保持书写工具的书写工具夹具; 设置在所述书写工具架上的至少一个加速度传感器，用于检测由手指抓握的书写工具的加速度; 以及手写信息识别电路，用于基于所述至少一个加速度传感器的输出来识别由所述书写工具执行的手写信息。

3. 发明授权

US06380923B1 Full-time wearable information managing device and method for the same 失效
标题翻译：全职可穿戴信息管理设备及方法相同
公开(公告)号：US06380923B1
公开(公告)日：2002-04-30
申请号：US08298552
申请日：1994-08-30
申请人： Masaaki Fukumoto , Akira Hiraiwa , Tadasu Uchiyama , Noboru Sonehara
发明人： Masaaki Fukumoto , Akira Hiraiwa , Tadasu Uchiyama , Noboru Sonehara
IPC分类号： G09G500
CPC分类号： G06F3/015 , G06F1/163 , G06F3/011 , G06F3/014 , G06F3/017 , G06F3/0235
摘要： A full-time wearable input device, method for the same is provided, wherein the immediate accessibility is improved without sacrificing the operational integrity, and information can be inputted anytime, anywhere, and immediately. The full-time wearable input device comprises a detector for detecting the shock generated at the time of striking the fingertips against a physical surface, and an analyzer for analyzing the timing at which the fingertips strike the aforementioned physical surface and determining the input information based on the detection signal detected by the aforementioned detector. As the above-mentioned detector, a shock sensor, acceleration sensor, sound sensor and myoelectric sensor can be used. The input information is then determined based on the change in the shock, acceleration, sound and/or myoelectric potential as detected by the sensors which are worn on each finger, wrist, or arm.
摘要翻译：提供了一种专用的可穿戴式输入装置，其方法在不牺牲运行完整性的情况下提高即时可达性，并可以随时随地，立即输入信息。全时穿戴式输入装置包括用于检测在指尖撞击物理表面时产生的冲击的检测器和用于分析指尖撞击上述物理表面的定时的分析器，并且基于由上述检测器检测出的检测信号。作为上述检测器，可以使用冲击传感器，加速度传感器，声音传感器和肌电传感器。然后基于穿在每个手指，手腕或手臂上的传感器检测到的冲击，加速度，声音和/或肌电位的变化来确定输入信息。

4. 发明申请

US20050066271A1 Extraction of information from structured documents 有权
标题翻译：从结构化文件中提取信息
公开(公告)号：US20050066271A1
公开(公告)日：2005-03-24
申请号：US10982865
申请日：2004-11-08
申请人： Tadasu Uchiyama , Masaru Miyamoto
发明人： Tadasu Uchiyama , Masaru Miyamoto
IPC分类号： G06F17/21 , G06F17/22 , G06F17/30 , G06F17/00
CPC分类号： G06F17/30899 , G06F17/218 , G06F17/2247 , G06F17/3061 , G06F17/30864 , G06F17/30896 , G06F17/30911 , G06F17/30914
摘要： A method of extracting information from a structured document includes the steps of assigning a partial tree identifier inclusive of a tag identifier to a selected partial tree wherein the tag identifier includes a name of a tag corresponding to a root of the selected partial tree, a name of at least one format attribute of the tag, and a value of the at least one format attribute, arranging names of format attributes in a predetermined order in the tag identifier if the at least one format attribute of the tag includes two or more format attributes, and identifying a partial tree having a partial tree identifier identical to the partial tree identifier of the selected partial tree from a list of partial tree identifiers of partial trees that exist in the structured document after updating thereof.
摘要翻译：从结构化文档提取信息的方法包括以下步骤：将包括标签标识符的部分树标识符分配给所选择的部分树，其中标签标识符包括与所选部分树的根对应的标签的名称，名称的标签的至少一个格式属性和至少一个格式属性的值，如果标签的至少一个格式属性包括两个或多个格式属性，则以标签标识符中的预定顺序排列格式属性的名称并且从更新之后的结构化文档中存在的部分树的部分树标识符的列表中，识别具有与所选择的部分树的部分树标识符相同的部分树标识符的部分树。

5. 发明授权

US07730104B2 Extraction of information from structured documents 有权
标题翻译：从结构化文件中提取信息
公开(公告)号：US07730104B2
公开(公告)日：2010-06-01
申请号：US10982865
申请日：2004-11-08
申请人： Tadasu Uchiyama , Masaru Miyamoto
发明人： Tadasu Uchiyama , Masaru Miyamoto
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30899 , G06F17/218 , G06F17/2247 , G06F17/3061 , G06F17/30864 , G06F17/30896 , G06F17/30911 , G06F17/30914
摘要： A method of extracting information from a structured document includes the steps of assigning a partial tree identifier inclusive of a tag identifier to a selected partial tree wherein the tag identifier includes a name of a tag corresponding to a root of the selected partial tree, a name of at least one format attribute of the tag, and a value of the at least one format attribute, arranging names of format attributes in a predetermined order in the tag identifier if the at least one format attribute of the tag includes two or more format attributes, and identifying a partial tree having a partial tree identifier identical to the partial tree identifier of the selected partial tree from a list of partial tree identifiers of partial trees that exist in the structured document after updating thereof.
摘要翻译：从结构化文档提取信息的方法包括以下步骤：将包括标签标识符的部分树标识符分配给所选择的部分树，其中标签标识符包括与所选部分树的根对应的标签的名称，名称的标签的至少一个格式属性和至少一个格式属性的值，如果标签的至少一个格式属性包括两个或多个格式属性，则以标签标识符中的预定顺序排列格式属性的名称并且从更新之后的结构化文档中存在的部分树的部分树标识符的列表中，识别具有与所选择的部分树的部分树标识符相同的部分树标识符的部分树。

6. 发明授权

US5745599A Character recognition method 失效
标题翻译：字符识别方法
公开(公告)号：US5745599A
公开(公告)日：1998-04-28
申请号：US374107
申请日：1995-01-18
申请人： Tadasu Uchiyama , Noboru Sonehara , Akira Hiraiwa
发明人： Tadasu Uchiyama , Noboru Sonehara , Akira Hiraiwa
IPC分类号： G06K9/22 , G06K9/48
CPC分类号： G06K9/00429 , G06K9/00416
摘要： The present invention provides a handwritten character recognition method in which neighboring points are connected by straight lines and the segments in-between points are then interpolated using broken lines. Each broken line is equally divided into k segments, and a number is assigned to each division point therein according to the time sequence of the respective point. A (k+1)N.times.N (N is the number of strokes) matrix P consisting of the elements of row (k+1)(n-1)+1 and column k(m-1)+j comprising angle .OMEGA. formed by the straight line connecting division point i of stroke n and division point j of stroke m and the straight line connecting division point i of stroke n and division point j+1 of stroke m, is then calculated. The distance di between handwritten character Cx and matrix Qi (i=1-M) formed in the same manner from M templates corresponding to characters possessing the same number of strokes as character Cx, is calculated as the sum of the squares of each element of matrix P-Qi. The character Cz corresponding to the template Qz with the smallest distance dz is then selected as the recognition result.
摘要翻译：本发明提供了一种手写字符识别方法，其中相邻点通过直线连接，然后使用虚线插入中间点之间的片段。每个虚线均等分成k个段，并且根据各个点的时间顺序向其中的每个分割点分配一个数字。由行（k + 1）（n-1）+1和列k（m-1）+ j的元素组成的包括由OMEGA形成的角度OMEGA组成的矩阵P的矩阵P（A）（k + 1）NxN（N是笔画数）然后计算连接行程n的划分点i和行程m的分割点j的直线以及连接行程n的划分点i和行程m的分割点j + 1的直线。以对应于具有与字符Cx相同数量的笔画的字符的M个模板以相同的方式形成的手写字符Cx与矩阵Qi（i = 1-M）之间的距离di被计算为每个元素的每个元素的平方和矩阵P-Qi。然后选择与具有最小距离dz的模板Qz相对应的字符Cz作为识别结果。

7. 发明授权

US5406481A Rainfall, snowfall forecast apparatus and method 失效
标题翻译：降雨，降雪预报装置及方法
公开(公告)号：US5406481A
公开(公告)日：1995-04-11
申请号：US266541
申请日：1994-06-28
申请人： Kazuhiko Shinozawa , Noboru Sonehara , Tadasu Uchiyama
发明人： Kazuhiko Shinozawa , Noboru Sonehara , Tadasu Uchiyama
IPC分类号： G01S13/95 , G01S15/88 , G01W1/10 , G06F15/54
CPC分类号： G01W1/10 , G01S15/885 , G01S13/95 , Y10S706/931
摘要： An apparatus is presented for providing a short time range forecast with relative high accuracy from weather radar images of cloud reflection data by incorporating physical properties of cloud in the forecasting method. The method consists of defining a plurality of lattice points on a radar image, and multiplying the reflection data from a group of neighboring lattice points obtained at a specific past point in time with selected coefficients. The products of multiplication are summed, and transformed into image data by specific function based on the properties relating to cloud. Squared errors of the difference between the computational reflection data and the observed reflection data are iterated to a value below a predetermined threshold value to select the coefficients, and these coefficients are used to provide forecasting of reflection data at a specific future point in time.
摘要翻译：提出了一种通过在预测方法中结合云的物理属性来提供来自云反射数据的天气雷达图像的相对高精度的短时间范围预测的装置。该方法包括在雷达图像上定义多个格点，并将来自在特定过去时间点获得的一组相邻格点的反射数据与所选择的系数相乘。乘法乘积相加，并根据与云相关的属性通过特定函数转换为图像数据。将计算反射数据和观察到的反射数据之间的差的平方误差迭代到低于预定阈值的值以选择系数，并且这些系数用于在特定的未来时间点提供反射数据的预测。

8. 发明授权

US5404423A Method and apparatus for indetification, forecast, and control of a non-linear flow on a physical system network using a neural network 失效
标题翻译：使用神经网络对物理系统网络上的非线性流进行独特，预测和控制的方法和装置
公开(公告)号：US5404423A
公开(公告)日：1995-04-04
申请号：US48793
申请日：1993-04-16
申请人： Tadasu Uchiyama , Noboru Sonehara , Yukio Tokunaga
发明人： Tadasu Uchiyama , Noboru Sonehara , Yukio Tokunaga
IPC分类号： G05B13/02 , G05B23/02 , G06F15/18
CPC分类号： G05B13/027 , G05B17/02
摘要： A neural network system for identifying forecasting, and controlling a non-linear flow on a physical system network, in which each branch between nodes in the physical system network is divided by a plurality of division points; a flow at each of the division points and a terminal point of each branch is calculated according to neural network model parameters specifying connections among the division points and the terminal point in a neural network model; an actual flow is measured at the terminal point of said each branch; an error of the calculated flow at the terminal point with respect to the measured actual flow at the terminal point is calculated; the neural network model parameters are adjusted to minimize the calculated error; and system dynamics parameters specifying dynamics of the physical system are determined according to the adjusted neural network model parameters. In addition, a target function to be optimized is calculated in terms of flows at terminal points of branches as a function of a control parameter specifying connecting and disconnecting of connections among branches at each node; and connections among branches at each node are connected/disconnected to optimize the calculated target function.
摘要翻译：一种用于识别预测和控制物理系统网络上的非线性流的神经网络系统，其中物理系统网络中的节点之间的每个分支被多个分割点分割; 根据神经网络模型参数，在神经网络模型中指定分割点和终点之间的连接来计算每个分支点的每个分支和每个分支的终点的流程; 在所述每个分支的终点处测量实际流量; 计算终点处的计算流量相对于终点处测量的实际流量的误差; 调整神经网络模型参数以最小化计算出的误差; 并根据调整后的神经网络模型参数确定指定物理系统动力学的系统动力学参数。此外，根据指定在每个节点的分支之间的连接的连接和断开的控制参数的函数，根据分支终端处的流量来计算要优化的目标函数; 并且连接/断开每个节点处的分支之间的连接，以优化计算出的目标函数。

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