公开(公告)号：US5684725A

公开(公告)日：1997-11-04

申请号：US534418

申请日：1995-09-27

申请人： Masayuki Numao ,  Hiroshi Masuda ,  Hirofumi Matsuzawa

发明人： Masayuki Numao ,  Hiroshi Masuda ,  Hirofumi Matsuzawa

IPC分类号： G06F17/50 ,  G06T15/00 ,  G06T17/10 ,  G06T17/00

CPC分类号： G06T17/10

摘要： A technique to synthesize an accurate solid model from drawing data. Closed regions are detected based on top view data and a closed region list is generated. A tree structure is detected and the list is converted to symbol groups, each of which is a set of symbols representative of the elements of the contour line of the closed region and symbols representative of a connection relationship between the elements. When the converted symbol groups include a symbol group having a specific symbol, that symbol group is divided into a plurality of symbol groups based on that specific symbol. The symbol groups are matched, and the area of the closed region is detected. Symbol groups of closed regions of the same shape are classified and symbol groups of closed regions of the same area are classified. From the classified symbol groups, symbol groups of closed regions having a child of the closed region of the same shape and area are classified, and a solid model is constructed.

摘要翻译： 从绘图数据合成精确实体模型的技术。 基于顶视图数据检测闭合区域，并且生成闭合区域列表。 检测树结构，并将列表转换为符号组，每个符号组是表示封闭区域的轮廓线的元素的符号集合，以及表示元素之间的连接关系的符号。 当转换的符号组包括具有特定符号的符号组时，该符号组基于该特定符号被划分成多个符号组。 符号组匹配，并且检测到封闭区域的区域。 对相同形状的封闭区域的符号组进行分类，并对相同区域的封闭区域的符号组进行分类。 从分类的符号组中分类具有相同形状和面积的封闭区域的子的封闭区域的符号组，构建实体模型。

公开(公告)号：US08165913B2

公开(公告)日：2012-04-24

申请号：US11845330

申请日：2007-08-27

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao

IPC分类号： G06F17/50

CPC分类号： G06Q99/00 ,  G06Q10/063 ,  G06Q10/06395

摘要： A system for tracing a cause of a phenomenon occurring in products produced in a production process chain is provided. The system is provided with a storage unit for storing a virtual attribute in association with corresponding second products, a receiving unit for receiving information for specifying third products in which a phenomenon occurs, a correlation calculation unit for calculating a correlation coefficient between the third products specified by the information for specifying the third products and the group of the second products having a common virtual attribute, for every kind of second products used in the third products, and a cause identification unit for identifying the second products belonging to the kind of the second products for which a maximum correlation coefficient is calculated as the cause of the phenomenon.

摘要翻译： 提供了用于追踪在生产过程链中产生的产品中发生现象的原因的系统。 该系统设置有用于存储与对应的第二产品相关联的虚拟属性的存储单元，用于接收用于指定发生现象的第三产品的信息的接收单元，用于计算指定的第三产品之间的相关系数的相关计算单元 通过用于指定第三产品的信息和具有共同虚拟属性的第二产品的组，用于第三产品中使用的每种第二产品，以及原因识别单元，用于识别属于第二产品的第二产品的属性 计算出最大相关系数作为该现象的原因的产品。

公开(公告)号：US07769706B2

公开(公告)日：2010-08-03

申请号：US12489244

申请日：2009-06-22

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

IPC分类号： G06F15/00 ,  G06F15/18

CPC分类号： G06N5/025 ,  G06Q10/06 ,  Y10S706/902

摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products. Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.

摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先发现零件属性成为故障原因的候选者。

公开(公告)号：US07567948B2

公开(公告)日：2009-07-28

申请号：US11865199

申请日：2007-10-01

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

IPC分类号： G06F15/18 ,  G06F15/00

CPC分类号： G06N5/025 ,  G06Q10/06 ,  Y10S706/902

摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products.Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.

摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。

公开(公告)号：US20090271354A1

公开(公告)日：2009-10-29

申请号：US12489244

申请日：2009-06-22

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

IPC分类号： G06F15/18

CPC分类号： G06N5/025 ,  G06Q10/06 ,  Y10S706/902

摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products. Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.

摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。

公开(公告)号：US20080147586A1

公开(公告)日：2008-06-19

申请号：US11865199

申请日：2007-10-01

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao ,  Madoka Yuriyama

IPC分类号： G06F17/00

CPC分类号： G06N5/025 ,  G06Q10/06 ,  Y10S706/902

摘要： It is an object of the present invention to find out parts to be a highly possible cause of failure without searching all of part data of all of products.Dispersed parts data on a parts tree are sequentially accessed from a set of known failed products, and part attribute values each having a higher support in the faulty product are extracted. In this process, a subset of parts used in the faulty product is also obtained simultaneously. The part attribute values having higher supports and the subset of parts used in the faulty product are represented as a tree in which a parts type serves as a node. Next, an information gain of a rule that having the two part attribute values is a cause of failure is calculated on two part attribute values having higher supports on the tree of the parts type. This calculation is locally performed on a common parent part of two parts and parts having a certain information gain is outputted as a cause of failure. How to select these two part attributes is performed in such a way that part attributes located closer to each other on the tree are first evaluated, and first found part attributes are made a candidate of a cause of failure.

摘要翻译： 本发明的一个目的是在不搜索所有产品的全部零件数据的情况下，发现零件是非常可能的故障原因。 从一组已知的故障产品中顺序访问零件树上的分散零件数据，并提取每个在故障产品中具有较高支持度的零件属性值。 在此过程中，也可以同时获得在故障产品中使用的部件的子集。 具有较高支持的部件属性值和在故障产品中使用的部件的子集被表示为其中部件类型用作节点的树。 接下来，对具有两部分属性值的规则的信息增益作为故障原因，对具有较高支持度的零件类型的树上的两部分属性值进行计算。 该计算在两部分的公共父部分执行，并且具有某一信息增益的部分作为故障的原因被输出。 首先评估如何选择这两个部分属性，使得首先评估在树上彼此更靠近的部分属性，并且首先找到零件属性成为故障原因的候选者。

公开(公告)号：US20080059259A1

公开(公告)日：2008-03-06

申请号：US11845330

申请日：2007-08-27

申请人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao

发明人： Fumihiko Kitayama ,  Hirofumi Matsuzawa ,  Masayuki Numao

IPC分类号： G06Q99/00

CPC分类号： G06Q99/00 ,  G06Q10/063 ,  G06Q10/06395

摘要： A system for tracing a cause of a phenomenon occurring in products produced in a production process chain is provided. The system is provided with a storage unit for storing a virtual attribute in association with corresponding second products, a receiving unit for receiving information for specifying third products in which a phenomenon occurs, a correlation calculation unit for calculating a correlation coefficient between the third products specified by the information for specifying the third products and the group of the second products having a common virtual attribute, for every kind of second products used in the third products, and a cause identification unit for identifying the second products belonging to the kind of the second products for which a maximum correlation coefficient is calculated as the cause of the phenomenon.

摘要翻译： 提供了用于追踪在生产过程链中产生的产品中发生现象的原因的系统。 该系统设置有用于存储与对应的第二产品相关联的虚拟属性的存储单元，用于接收用于指定发生现象的第三产品的信息的接收单元，用于计算指定的第三产品之间的相关系数的相关计算单元 通过用于指定第三产品的信息和具有共同虚拟属性的第二产品的组，用于第三产品中使用的每种第二产品，以及原因识别单元，用于识别属于第二产品的第二产品的属性 计算出最大相关系数作为该现象的原因的产品。

公开(公告)号：US6078330A

公开(公告)日：2000-06-20

申请号：US132943

申请日：1993-10-07

申请人： Hiroshi Masuda ,  Masayuki Numao ,  Shuichi Shimizu

发明人： Hiroshi Masuda ,  Masayuki Numao ,  Shuichi Shimizu

IPC分类号： G06F17/50 ,  G06T15/00 ,  G06T17/10 ,  G06T15/70

CPC分类号： G06T17/10

摘要： To simplify the solid model selection work of the user. An image processing unit prepares a cell decomposition model from three orthographic view data, a link of individual cells C1, C2, C3, C4, . . . in the prepared cell decomposition model is detailed referring to lines E1, . . . represented on the three orthographic views, and a solid model is constructed according to a non-conflicting cell combination.

摘要翻译： 简化用户的实体模型选择工作。 图像处理单元从三个正交视图数据，单个单元C1，C2，C3，C4的链接准备单元分解模型。 。 。 在准备的细胞分解模型中详细参考线E1，。 。 。 在三个正交视图上表示，并且根据非冲突的单元格组合构建实体模型。

公开(公告)号：US5668939A

公开(公告)日：1997-09-16

申请号：US623099

申请日：1996-03-28

申请人： Masayuki Numao ,  Hiroshi Masuda

发明人： Masayuki Numao ,  Hiroshi Masuda

IPC分类号： G06F17/50 ,  G06T17/00 ,  G06T17/10 ,  G06F15/00

CPC分类号： G06T17/00 ,  G06T17/10

摘要： A system and method for inputting two-dimensional drawing data and classifying that drawing data into plan view data and sectional view data. Closed regions and inclusion relations among the respective closed regions are detected from the classified plan view data. Attributes of the detected closed regions are detected, and the detected closed regions are grouped into groups, each including closed regions of the same attributes based on the detected attributes of the closed regions. The sectional view data is divided on the basis of data on the detected closed regions. Some of the closed regions are three-dimensionalized based on the divided sectional view data. Closed regions not belonging to the three-dimensionalized portion of the closed regions but belonging to the same group as a three-dimensionalized closed region are three-dimensionalized by the same method as was used for the three-dimensionalized closed region. A solid model is generated by combining the three-dimensionalized closed regions through Boolean operations performed on the basis of the inclusion relation among the respective closed regions.

摘要翻译： 一种用于输入二维绘图数据并将绘制数据分类为平面图数据和截面图数据的系统和方法。 从分类平面图数据中检测各个封闭区域之间的闭合区域和夹杂关系。 检测到检测到的闭合区域的属性，并且基于检测到的封闭区域的属性，检测到的封闭区域被分组成组，每个组包括相同属性的封闭区域。 基于检测到的封闭区域的数据划分截面图数据。 基于分割的截面图数据，一些闭合区域被三维化。 通过与三维闭合区域相同的方法，不属于封闭区域的三维化部分，但属于与三维化封闭区域相同组的封闭区域。 通过基于各个封闭区域之间的夹杂关系进行的布尔运算，组合三维闭合区域来生成实体模型。

公开(公告)号：US08538937B2

公开(公告)日：2013-09-17

申请号：US10421256

申请日：2003-04-22

申请人： Masayuki Numao ,  Yuji Watanabe

发明人： Masayuki Numao ,  Yuji Watanabe

IPC分类号： G06F7/00 ,  G06F17/00

CPC分类号： G06F17/30545 ,  G06F17/30864

摘要： A database search system ensures the privacy of a search request and the security of a database with high processing efficiency. The system comprises a database server residing on a network that stores predetermined data, and a client terminal issuing to the database server a search request for inquiring for desired data while keeping the desired data secret. The database server further comprises: a database storing predetermined data; and a search response message generation unit for receiving through a network the data search request in which data to be searched for is kept secret, searching the database by a predetermined computation based on the search request and a list of the data stored in the database while a data item involved with the search request is kept secret, and generating a response to the search request.

摘要翻译： 数据库搜索系统确保搜索请求的隐私和高处理效率的数据库的安全性。 系统包括驻留在存储预定数据的网络上的数据库服务器，以及客户端终端向数据库服务器发出查询请求以寻求期望数据同时保持所需数据的秘密。 数据库服务器还包括：存储预定数据的数据库; 以及搜索响应消息生成单元，用于通过网络接收数据搜索请求，其中要搜索的数据被保密，通过基于搜索请求的预定计算和存储在数据库中的数据的列表来搜索数据库，同时 涉及搜索请求的数据项保密，并产生对搜索请求的响应。