公开(公告)号：US20090276390A1

公开(公告)日：2009-11-05

申请号：US12379871

申请日：2009-03-03

申请人： Satoru Watanabe ,  Masashi Uyama ,  Youji Kohda ,  Mitsuru Oda

发明人： Satoru Watanabe ,  Masashi Uyama ,  Youji Kohda ,  Mitsuru Oda

IPC分类号： G06N5/02 ,  G06Q10/00 ,  G06F17/10

CPC分类号： G06F17/18 ,  G06N20/00 ,  G06Q10/067 ,  G06Q30/02

摘要： A modeling support system is provided in which a model structure is extracted from stored models so as to improve a resulting prediction model using the extracted structure. In a modeling support system 1, when information processors 15a to 15c analyze a phenomenon using covariance structure for modeling and request the modeling support system 1 for supporting the modeling, a model controller 4 acquires and controls observed variables, latent variables, and the associations between the variables of the object model. Then, a similar structure extractor 78 of a model extractor 7 compares the object model with reference models stored in a model recorder, and extracts a partial structure of the reference model having a structure similar to a partial structure of the object model as a similar structure, and then the model controller notifies the extracted similar structure to the information processor.

摘要翻译： 提供了一种建模支持系统，其中从存储的模型中提取模型结构，以便使用所提取的结构改进所得到的预测模型。 在建模支持系统1中，当信息处理器15a至15c分析使用协方差结构进行建模的现象并请求建模支持系统1用于支持建模时，模型控制器4获取并控制观测变量，潜在变量和相关关系 对象模型的变量。 然后，模型提取器7的类似结构提取器78将对象模型与存储在模型记录器中的参考模型进行比较，并且提取具有类似于对象模型的部分结构的结构的参考模型的部分结构作为类似结构 ，然后模型控制器将提取的类似结构通知给信息处理器。

公开(公告)号：US08473260B2

公开(公告)日：2013-06-25

申请号：US12187695

申请日：2008-08-07

申请人： Satoru Watanabe ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda ,  Mitsuru Oda ,  Hiroki Ichiki ,  Madoka Mitsuoka

发明人： Satoru Watanabe ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda ,  Mitsuru Oda ,  Hiroki Ichiki ,  Madoka Mitsuoka

IPC分类号： G06F7/60 ,  G06F17/10

CPC分类号： G06Q10/04

摘要： A model creation support system includes a model managing part that acquires and accumulates an identifier of a model, data indicating a phenomenon, data indicating a regression equation, and evaluation data from an information processing apparatus that predicts or analyzes the phenomenon, using a model represented by the regression equation, a factor value extracting part that generates and records factor value data indicating the degree to which the factor contributes to the model from the accumulated data, and a model proposing part that refers to the factor value data based on a request for supporting model creation and model condition data received from the information processing apparatus, thereby generating and outputting support data containing a factor capable of contributing to the model to the information processing apparatus. Thus, information on factors of the model can be accumulated and utilized for enhancement of the fitting degree of the model.

摘要翻译： 模型创建支持系统包括模型管理部件，其使用代表的模型来获取和累积模型的标识符，指示现象的数据，指示回归方程的数据和来自预测或分析该现象的信息处理设备的评估数据 通过回归方程，生成并记录表示因子对累积数据贡献于该模型的程度的要素值数据的因子值提取部，以及基于要求值的参照因子值数据的模型提出部 从信息处理装置接收的支持模型创建和模型条件数据，从而生成并输出包含能够对模型贡献的因素的支持数据给信息处理装置。 因此，可以积累和利用关于模型因素的信息来增强模型的拟合度。

公开(公告)号：US08219673B2

公开(公告)日：2012-07-10

申请号：US12411930

申请日：2009-03-26

申请人： Masashi Uyama ,  Youji Kohda ,  Satoru Watanabe

发明人： Masashi Uyama ,  Youji Kohda ,  Satoru Watanabe

IPC分类号： G06F15/173

CPC分类号： G06Q30/02 ,  G06Q10/04

摘要： An analysis apparatus includes a history analysis part analyzing the trend based on the access log and deriving the latent trait to an access destination, a principal components analysis part analyzing principal components of the frequency distribution of the access, a classification part classifying the correlation of the principal components into plural classes, an event recording part recording the events to induce to the access destination, a first generating part generating a latent trait principal component table; a second generating part generating a class construction ratio table stored the class as the result of classification, a third generating part generating an event classification table stored the class and the contents of the event, and an analysis result recording part recording the latent trait principal component table, the class construction ratio table and the event classification table, as an event feature model of the effect on the execution of the event.

摘要翻译： 分析装置包括历史分析部分，其基于访问日志分析趋势并导出到访问目的地的潜在特征，分析访问频率分布的主要组成部分的主成分分析部分，分类部分 主成分分成多个类，记录事件以诱导到访问目的地的事件记录部分，产生潜在性状主成分表的第一生成部分; 生成作为分类结果存储该类的类构造比表的第二生成部，生成存储该类的事件分类表和事件的内容的第三生成部，以及记录该潜在性状主成分的分析结果记录部 表，类构造比表和事件分类表，作为事件特征模型对事件执行的影响。

公开(公告)号：US20090089023A1

公开(公告)日：2009-04-02

申请号：US12187695

申请日：2008-08-07

申请人： Satoru Watanabe ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda ,  Mitsuru Oda ,  Hiroki Ichiki ,  Madoka Mitsuoka

发明人： Satoru Watanabe ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda ,  Mitsuru Oda ,  Hiroki Ichiki ,  Madoka Mitsuoka

IPC分类号： G06F7/60

CPC分类号： G06Q10/04

摘要： A model creation support system includes a model managing part that acquires and accumulates an identifier of a model, data indicating a phenomenon, data indicating a regression equation, and evaluation data from an information processing apparatus that predicts or analyzes the phenomenon, using a model represented by the regression equation, a factor value extracting part that generates and records factor value data indicating the degree to which the factor contributes to the model from the accumulated data, and a model proposing part that refers to the factor value data based on a request for supporting model creation and model condition data received from the information processing apparatus, thereby generating and outputting support data containing a factor capable of contributing to the model to the information processing apparatus. Thus, information on factors of the model can be accumulated and utilized for enhancement of the fitting degree of the model.

摘要翻译： 模型创建支持系统包括模型管理部件，其使用代表的模型来获取和累积模型的标识符，指示现象的数据，指示回归方程的数据和来自预测或分析该现象的信息处理设备的评估数据 通过回归方程，生成并记录表示因子对累积数据贡献于该模型的程度的要素值数据的因子值提取部，以及基于要求值的参照因子值数据的模型提出部 从信息处理装置接收的支持模型创建和模型条件数据，从而生成并输出包含能够对模型贡献的因素的支持数据给信息处理装置。 因此，可以积累和利用关于模型因素的信息来增强模型的拟合度。

公开(公告)号：US20090248863A1

公开(公告)日：2009-10-01

申请号：US12411930

申请日：2009-03-26

申请人： Masashi Uyama ,  Youji Kohda ,  Satoru Watanabe

发明人： Masashi Uyama ,  Youji Kohda ,  Satoru Watanabe

IPC分类号： G06F15/173

CPC分类号： G06Q30/02 ,  G06Q10/04

摘要： An analysis apparatus includes a history analysis part analyzing the trend based on the access log and deriving the latent trait to an access destination, a principal components analysis part analyzing principal components of the frequency distribution of the access, a classification part classifying the correlation of the principal components into plural classes, an event recording part recording the events to induce to the access destination, a first generating part generating a latent trait principal component table; a second generating part generating a class construction ratio table stored the class as the result of classification,a third generating part generating an event classification table stored the class and the contents of the event, and an analysis result recording part recording the latent trait principal component table, the class construction ratio table and the event classification table, as an event feature model of the effect on the execution of the event.

摘要翻译： 分析装置包括历史分析部分，其基于访问日志分析趋势并导出到访问目的地的潜在特征，分析访问频率分布的主要组成部分的主成分分析部分，分类部分 主成分分成多个类，记录事件以诱导到访问目的地的事件记录部分，产生潜在性状主成分表的第一生成部分; 生成作为分类结果存储该类的类构造比表的第二生成部，生成存储该类的事件分类表和事件的内容的第三生成部，以及记录该潜在性状主成分的分析结果记录部 表，类构造比表和事件分类表，作为事件特征模型对事件执行的影响。

公开(公告)号：US08099322B2

公开(公告)日：2012-01-17

申请号：US11873848

申请日：2007-10-17

申请人： Satoru Watanabe ,  Youji Kohda ,  Masatomo Yasaki ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Mitsuru Oda ,  Hiroki Ichiki

发明人： Satoru Watanabe ,  Youji Kohda ,  Masatomo Yasaki ,  Yasuhide Matsumoto ,  Masashi Uyama ,  Mitsuru Oda ,  Hiroki Ichiki

IPC分类号： G06Q99/00

CPC分类号： G06Q30/02 ,  G06Q10/063 ,  G06Q30/0241 ,  G06Q30/0242 ,  G06Q30/0251 ,  G06Q30/0272 ,  G06Q30/0277 ,  G06Q30/0601

摘要： A time factor feature generation system includes: a use status grasping portion that extracts transition data showing variations in degree of use of a site from log data; a variation data generating portion that generates, based on the transition data, variation data expressing the variations in degree of use of the site as a group Y of values showing the degree of use of the site; a time factor data recording portion in which a plurality of time factors and time factor values of each of the plurality of time factors are recorded; a time factor extracting portion that generates groups Di of time factor values, each of which corresponds to a time factor extracted from among the plurality of time factors; and a time factor feature generating portion 13 that calculates coefficients ai such that a square of an error b has a minimum value in an equation in which the groups Di and the group Y are used as an explaining variable and an explained variable, respectively, thereby to generate data showing a time factor feature of a use status of the site. By this configuration, the time factor feature generation system generates data quantitatively showing a time factor feature of a use status of a site.

摘要翻译： 时间因素特征生成系统包括：使用状态抓取部，其从日志数据提取表示站点的使用程度的变化的过渡数据; 变化数据生成部，其基于所述过渡数据生成表示所述场所的使用程度的变化的变化数据，作为表示所述场所的使用程度的值的组Y; 时间因素数据记录部分，其中记录了多个时间因素中的每一个的多个时间因素和时间因子值; 时间因子提取部分，其生成时间因子值的组Di，每个时间因子值对应于从多个时间因子中提取的时间因子; 以及时间因子特征生成部13，其计算系数ai，使得误差b的平方分别在组Di和组Y被用作解释变量和解释变量的方程中具有最小值，由此 生成显示站点使用状态的时间因素特征的数据。 通过该配置，时间因子特征生成系统生成定量地显示站点的使用状态的时间因素特征的数据。

公开(公告)号：US07356481B2

公开(公告)日：2008-04-08

申请号：US09769533

申请日：2001-01-26

申请人： Madoka Mitsuoka ,  Youji Kohda ,  Masashi Uyama ,  Noboru Iwayama ,  Yuji Kijima

发明人： Madoka Mitsuoka ,  Youji Kohda ,  Masashi Uyama ,  Noboru Iwayama ,  Yuji Kijima

IPC分类号： G06Q30/00

CPC分类号： G06Q10/08 ,  G06Q10/0631 ,  G06Q10/083

摘要： Method for making delivery of products more efficient, and having deliveries made that are convenient for delivery recipients. When a user (delivery recipient 3) purchases a product from a vendor and applies for delivery, a management server 4 accepts a delivery application from a vendor client 1. The management server 4 notifies the delivery recipient client 3 of the application for delivery, and prompts the user to designate delivery terms. For example, a delivery terms designation form is provided on a web page, and the URL for that web page is provided in the application for delivery notification. The delivery recipient client 3 accesses the web page and refers to a list of products to be delivered to him or herself. Moreover, the delivery recipient designates delivery terms when he or she is certain of his or her schedule. A delivery business is notified of these delivery terms.

摘要翻译： 使产品交付更有效率的方法，交货方式便于交货。 当用户（交货收件人3）从供应商购买产品并申请交货时，管理服务器4从供应商客户端1接受交货申请。 管理服务器4向发送接收方客户端3通知应用程序的交付，并且提示用户指定递送条款。 例如，在网页上提供交货条件指定表，并且该应用中提供该网页的URL以用于传送通知。 送货接收方客户端3访问网页并参考要交付给他或她自己的产品的列表。 此外，当他或她确定他或她的日程表时，送货接收者指定送货条款。 通知交货业务这些交货条款。

公开(公告)号：US20060218278A1

公开(公告)日：2006-09-28

申请号：US11191989

申请日：2005-07-29

申请人： Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda

发明人： Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda

IPC分类号： G06F15/173

CPC分类号： G06Q10/04 ,  G06Q10/06 ,  H04L41/147 ,  H04L41/5064 ,  H04L67/02 ,  H04L67/22 ,  H04L69/02

摘要： A demand forecasting system and a demand forecasting method capable of forecasting demands for IT resources in a data center accurately are provided. The demand forecasting system includes: a classification unit that classifies a plurality of users who use IT resources in a data center into a plurality of user's behavior classes; an event characteristics model generation unit that generates an event characteristics model representing a variation over time in a usage state of the IT resources caused by an event and the number of the users moving among the user's behavior classes caused by the event; an event influence calculation unit that calculates a predicted value of the variation over time in a usage state of the IT resources and a predicted value of the number of the users moving among the user's behavior classes that will be caused by an event scheduled to be held in the future using the event characteristics model; and a demand forecasting unit that calculates a variation in load on the IT resources.

摘要翻译： 提供了能够准确地预测数据中心IT资源需求的需求预测系统和需求预测方法。 需求预测系统包括：分类单元，将在数据中心中使用IT资源的多个用户分类成多个用户的行为类别; 事件特征模型生成单元，其生成表示由事件引起的IT资源的使用状态以及在由该事件引起的用户的行为类别之间移动的用户的数量的随时间变化的事件特征模型; 事件影响计算单元，其计算IT资源的使用状态下的随时间变化的预测值，以及在由所计划保持的事件引起的用户行为类别中移动的用户数量的预测值 在未来使用事件特征模型; 以及计算IT资源负荷变化的需求预测单元。

公开(公告)号：US08260921B2

公开(公告)日：2012-09-04

申请号：US11191989

申请日：2005-07-29

申请人： Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda

发明人： Masashi Uyama ,  Masatomo Yasaki ,  Youji Kohda

IPC分类号： G06F15/173

CPC分类号： G06Q10/04 ,  G06Q10/06 ,  H04L41/147 ,  H04L41/5064 ,  H04L67/02 ,  H04L67/22 ,  H04L69/02

摘要： A demand forecasting system and a demand forecasting method capable of forecasting demands for IT resources in a data center accurately are provided. The demand forecasting system includes: a classification unit that classifies a plurality of users who use IT resources in a data center into a plurality of user's behavior classes; an event characteristics model generation unit that generates an event characteristics model representing a variation over time in a usage state of the IT resources caused by an event and the number of the users moving among the user's behavior classes caused by the event; an event influence calculation unit that calculates a predicted value of the variation over time in a usage state of the IT resources and a predicted value of the number of the users moving among the user's behavior classes that will be caused by an event scheduled to be held in the future using the event characteristics model; and a demand forecasting unit that calculates a variation in load on the IT resources.

摘要翻译： 提供了能够准确地预测数据中心IT资源需求的需求预测系统和需求预测方法。 需求预测系统包括：分类单元，将在数据中心中使用IT资源的多个用户分类成多个用户的行为类别; 事件特征模型生成单元，其生成表示由事件引起的IT资源的使用状态以及在由该事件引起的用户的行为类别之间移动的用户的数量的随时间变化的事件特征模型; 事件影响计算单元，其计算IT资源的使用状态下的随时间的变化的预测值，以及在由被安排保持的事件引起的用户的行为类别中移动的用户数量的预测值 在未来使用事件特征模型; 以及计算IT资源负荷变化的需求预测单元。

公开(公告)号：US07818199B2

公开(公告)日：2010-10-19

申请号：US10646890

申请日：2003-08-25

申请人： Satoru Watanabe ,  Masatomo Yasaki ,  Kazuki Matsui ,  Toshiaki Gomi ,  Hideto Kihara ,  Youji Kohda

发明人： Satoru Watanabe ,  Masatomo Yasaki ,  Kazuki Matsui ,  Toshiaki Gomi ,  Hideto Kihara ,  Youji Kohda

IPC分类号： G06F17/30

CPC分类号： G06Q10/10 ,  G06Q30/0203

摘要： Polling method that encourages freely opinionated replies and makes for extensive collection of diverse replies. Free reply processing module 9 assigns an option ID to a free reply contained in reply data and associates this free reply with a survey ID and question ID and stores the same in a survey form database 41. A survey form creation module 6 creates a survey form page based on data in the survey form database 41 using HTML or the like and stores this on a Web server 3. The Web server 3 sends the stored survey form page to a respondent terminal 2.

摘要翻译： 轮询方法，鼓励自由的回覆，并广泛收集各种各样的答复。 免费回复处理模块9向答复数据中包含的免费回复分配选项ID，并将该免费回复与调查ID和问题ID相关联并将其存储在调查表数据库41中。调查表创建模块6创建调查表 基于使用HTML等的调查表格数据库41中的数据的页面，并将其存储在Web服务器3上.Web服务器3将存储的调查表单页发送到受理终端2。