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    • 2. 发明申请
    • Probabilistic model generation method, apparatus, and program
    • 概率模型生成方法,装置和程序
    • US20070038558A1
    • 2007-02-15
    • US11496718
    • 2006-08-01
    • Minoru NakatsugawaTakeichiro Nishikawa
    • Minoru NakatsugawaTakeichiro Nishikawa
    • G06Q40/00
    • G06Q10/04G06Q40/025
    • There is provided with a method, including: optimizing a first objective function defined by using an explanatory variable belonging an attribute in each sample, a target variable in each sample, and a first conversion parameter to find a value of the first conversion parameter; generating by using the first conversion parameter corresponding to the attribute a conversion function for converting an explanatory variable belonging to the attribute to an intermediate variable with certain range; optimizing a second objective function defined by using a plurality of the intermediate variables corresponding to the plurality of variables in each sample, the target variable in each sample, and a second conversion parameter to find a value of the second conversion parameter; and generating by using the second conversion parameter a probabilistic model for calculating from a plurality of intermediate variables a probability that a predetermined event occurs or does not occur.
    • 提供了一种方法,包括:优化通过使用属于每个样本中的属性的解释变量定义的第一目标函数,每个样本中的目标变量以及第一转换参数以找到第一转换参数的值; 通过使用与属性相对应的第一转换参数生成转换函数,用于将属于属性的解释变量转换为具有一定范围的中间变量; 优化通过使用与每个样本中的多个变量相对应的多个中间变量定义的第二目标函数,每个样本中的目标变量和第二转换参数以找到第二转换参数的值; 以及通过使用所述第二转换参数产生用于从多个中间变量计算预定事件发生或不发生的概率的概率模型。
    • 3. 发明授权
    • Wire length minimization apparatus and method
    • 线长度最小化装置及方法
    • US06122443A
    • 2000-09-19
    • US122634
    • 1998-07-27
    • Takeichiro Nishikawa
    • Takeichiro Nishikawa
    • G06F17/50G06F9/455
    • G06F17/5077G06F17/5081
    • In a wire length minimization apparatus for moving an object and a wire in a wiring pattern formed by connecting objects with wires, in accordance with a load representing a performance of wire length minimization considering a priority set for each wire, thereby minimizing a length of the wire, a tree having, as nodes, a plurality of objects having a predetermined positional relationship are formed, a load of a parent node with respect to a child node is calculated sequentially from a leaf of the tree based on a load of the child node, and an object and a wire corresponding to a tree portion having a root node with a load satisfying a predetermined condition is satisfied as an object to be moved. With this arrangement, movement of the objects and wires can be executed to efficiently and effectively reduce the cost of the wires.
    • 在根据表示电线长度最小化的性能的负载,考虑到为每条电线设定的优先级,使用于使由物体与电线连接形成的布线图案中的物体和电线移动的电线长度最小化装置,从而最小化 形成具有作为节点的具有预定位置关系的多个对象的树,基于子节点的负载,从树的叶片顺序地计算父节点相对于子节点的负载 并且满足对应于具有满足预定条件的负载的根节点的树部分的对象和线作为要移动的对象。 利用这种布置,可以执行物体和线的移动以有效且有效地降低线的成本。
    • 4. 发明授权
    • Evaluating apparatus and evaluating program product
    • 评估仪器和评估程序产品
    • US08489924B2
    • 2013-07-16
    • US12881383
    • 2010-09-14
    • Minoru NakatsugawaTakeichiro NishikawaRyusei Shingaki
    • Minoru NakatsugawaTakeichiro NishikawaRyusei Shingaki
    • G06F11/00
    • G06F11/008
    • According to one embodiment, an evaluating apparatus includes an operation data storage unit, a labeling unit, a learning unit, and an evaluating unit. The labeling unit applies a failure label, indicating that a product is broken down, to operation data of the product that is broken down within a designated period of time from the observation date of the operation data, while applies a non-failure label, indicating that the product is not broken down, to the operation data of the product that is not broken down within a designated period of time from the observation date of the operation data. The labeling unit applies neither the failure label nor the non-failure label to the operation data of the product, which is not certain that it is broken down or not within a designated period of time from the observation date of the operation data.
    • 根据一个实施例,评估装置包括操作数据存储单元,标签单元,学习单元和评估单元。 标签单位将指示产品分解的故障标签应用于从操作数据的观察日期起的指定时间段内分解的产品的操作数据,同时应用非故障标签,表示 该产品不被分解为在从操作数据的观察日期起的指定时间段内未分解的产品的操作数据。 标签单位既不对产品的操作数据既不应用故障标签也不应用,不能在操作数据的观察日期的指定时间内对其进行分解。
    • 8. 发明授权
    • Constraint condition evaluation method and constraint condition
evaluation system
    • 约束条件评估方法和约束条件评价体系
    • US5971596A
    • 1999-10-26
    • US663699
    • 1996-06-14
    • Takeichiro Nishikawa
    • Takeichiro Nishikawa
    • G06F17/50G06F17/00
    • G06F17/5081
    • It is an object of this invention is to provide a constraint condition evaluation method and a constraint condition evaluation system which detect PCs speedily in a constraint graph in a large system. To achieve this object, the system has the disassembling means (3) which disassembles a constraint graph, representing the constraints in the layout of components, into a plurality of subgraphs according to a specific division method while retaining the cycles in the constraint graph, the back edge detecting means (4) which detects back edges in each subgraph, and the PC detecting means (5) which detects PCs associated with the back edge in each subgraph. The system disassembles a constraint graph into smaller subgraphs to prevent the processing time increase rate from increasing, and reduces the PC detection time.
    • 本发明的目的是提供一种在大型系统的约束图中快速检测PC的约束条件评估方法和约束条件评估系统。 为了实现该目的,系统具有拆卸装置(3),其将根据特定划分方法将表示组件布局的约束的约束图分解成多个子图,同时将约束图保持在约束图中, 检测每个子图中的后边缘的后边缘检测装置(4),以及检测与每个子图中的后边缘相关联的PC的PC检测装置(5)。 系统将约束图拆分为较小的子图,以防止处理时间增加率增加,并减少PC检测时间。
    • 10. 发明授权
    • Probabilistic model generation method, apparatus, and program
    • 概率模型生成方法,装置和程序
    • US07899767B2
    • 2011-03-01
    • US11496718
    • 2006-08-01
    • Minoru NakatsugawaTakeichiro Nishikawa
    • Minoru NakatsugawaTakeichiro Nishikawa
    • G06F15/18G06F19/00
    • G06Q10/04G06Q40/025
    • There is provided with a method, including: optimizing a first objective function defined by using an explanatory variable belonging an attribute in each sample, a target variable in each sample, and a first conversion parameter to find a value of the first conversion parameter; generating by using the first conversion parameter corresponding to the attribute a conversion function for converting an explanatory variable belonging to the attribute to an intermediate variable with certain range; optimizing a second objective function defined by using a plurality of the intermediate variables corresponding to the plurality of variables in each sample, the target variable in each sample, and a second conversion parameter to find a value of the second conversion parameter; and generating by using the second conversion parameter a probabilistic model for calculating from a plurality of intermediate variables a probability that a predetermined event occurs or does not occur.
    • 提供了一种方法,包括:优化通过使用属于每个样本中的属性的解释变量定义的第一目标函数,每个样本中的目标变量以及第一转换参数以找到第一转换参数的值; 通过使用与属性相对应的第一转换参数生成转换函数,用于将属于属性的解释变量转换为具有一定范围的中间变量; 优化通过使用与每个样本中的多个变量相对应的多个中间变量定义的第二目标函数,每个样本中的目标变量和第二转换参数以找到第二转换参数的值; 以及通过使用所述第二转换参数产生用于从多个中间变量计算预定事件发生或不发生的概率的概率模型。