公开(公告)号：US20090018812A1

公开(公告)日：2009-01-15

申请号：US11776719

申请日：2007-07-12

申请人： Ravi Kothari ,  Bikram Sengupta

发明人： Ravi Kothari ,  Bikram Sengupta

IPC分类号： G06F9/45

CPC分类号： G06Q10/04

摘要： A method of using quantitative models for predictive service level agreement management builds quantitative models, executes the models to produce observations, and determines whether the observations conform to service level agreements. If the observations do not conform to the service level agreements, the method determines the service level agreements that are violated by the observations. Then, the method calculates analytic measures for use in the service level agreements based on the observations and the violations.

公开(公告)号：US20090018813A1

公开(公告)日：2009-01-15

申请号：US12059090

申请日：2008-03-31

申请人： Ravi Kothari ,  Bikram Sengupta

发明人： Ravi Kothari ,  Bikram Sengupta

IPC分类号： G06F9/45

CPC分类号： G06Q10/04

摘要： A method of using quantitative models for predictive service level agreement management builds quantitative models, executes the models to produce observations, and determines whether the observations conform to service level agreements. If the observations do not conform to the service level agreements, the method determines the service level agreements that are violated by the observations. Then, the method calculates analytic measures for use in the service level agreements based on the observations and the violations.

摘要翻译： 使用定量模型进行预测服务水平协议管理的方法构建定量模型，执行模型以产生观察值，并确定观察结果是否符合服务水平协议。 如果观察结果不符合服务水平协议，则该方法确定观察结果违反​​的服务水平协议。 然后，该方法基于观察结果和违规情况计算服务级别协议中使用的分析措施。

公开(公告)号：US09342809B2

公开(公告)日：2016-05-17

申请号：US12868320

申请日：2010-08-25

申请人： Nanjangud C. Narendra ,  Karthikeyan Ponnalagu ,  Bikram Sengupta ,  Renuka Sindhgatta Rajan

发明人： Nanjangud C. Narendra ,  Karthikeyan Ponnalagu ,  Bikram Sengupta ,  Renuka Sindhgatta Rajan

IPC分类号： G06F17/30 ,  G06Q10/08 ,  G06F9/44

CPC分类号： G06Q10/087 ,  G06F8/71 ,  G06F17/3023 ,  G06F17/30309

摘要： Methods and arrangements for performing a tree-based asset search. An asset model is assimilated. The asset model is transformed into an asset tree search model. An asset search query is accepted and the asset search query is parsed. An asset search is conducted via applying the parsed asset search query to the asset tree model.

摘要翻译： 执行基于树状资产搜索的方法和安排。 资产模型被吸收。 资产模型转化为资产树搜索模型。 资产搜索查询被接受，资产搜索查询被解析。 通过将解析的资产搜索查询应用于资产树模型来进行资产搜索。

公开(公告)号：US08386290B2

公开(公告)日：2013-02-26

申请号：US13155580

申请日：2011-06-08

申请人： Shivali Agarwal ,  Saeed Bagheri ,  Jarir K. Chaar ,  Krishna C. Ratakonda ,  Vinay K. Reddy ,  Bikram Sengupta

发明人： Shivali Agarwal ,  Saeed Bagheri ,  Jarir K. Chaar ,  Krishna C. Ratakonda ,  Vinay K. Reddy ,  Bikram Sengupta

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04

摘要： A computer implemented method, system, and/or computer program product optimize a shared service delivery system. A model of an existing shared service delivery system is created. Capacity of the existing shared service delivery system is defined according to required resources for existing projects, new projects, and proposed projects. Existing cells of practitioners in the existing shared service delivery system are identified, and any gaps or gluts of capacity in the existing cells of practitioners are identified according to a general predetermined resource requirement for the shared service delivery system.

摘要翻译： 计算机实现的方法，系统和/或计算机程序产品优化共享服务传递系统。 创建现有共享服务传递系统的模型。 现有共享服务提供系统的容量根据现有项目，新项目和拟议项目的所需资源进行定义。 识别现有共享服务传递系统中的从业者的现有单元，并且根据共享服务传送系统的一般预定资源要求来识别从业人员现有单元中的容量的任何间隙或容量。

公开(公告)号：US20080152237A1

公开(公告)日：2008-06-26

申请号：US11614336

申请日：2006-12-21

申请人： Vibha S. Sinha ,  Bikram Sengupta ,  Satish Chandra

发明人： Vibha S. Sinha ,  Bikram Sengupta ,  Satish Chandra

IPC分类号： G06K9/68

CPC分类号： G06F16/3323 ,  G06F16/26

摘要： A data visualization device comprises a focal attribute calculator for calculating a focal value of each of a plurality of data input items, and for categorizing each of the plurality of data input items as either non-cluster blobs or second blobs. The device further comprises a clustering attribute calculator for clustering data input items categorized as second blobs into one or more cluster blobs, and a visualization shaper for arranging the one or more cluster blobs and the non-cluster blobs, relative to each other in accordance with the focal values of the data input items of respective blobs.

摘要翻译： 数据可视化装置包括焦点属性计算器，用于计算多个数据输入项中的每一个的焦点值，并且用于将多个数据输入项中的每一个分类为非群集斑点或第二个斑点。 该设备还包括聚类属性计算器，用于将分类为第二块的数据输入项聚类到一个或多个聚类块中;以及可视化整形器，用于根据相应的方式相对于彼此排列一个或多个簇斑点和非簇斑点 各个斑点的数据输入项的焦点值。

公开(公告)号：US08417554B2

公开(公告)日：2013-04-09

申请号：US13102203

申请日：2011-05-06

申请人： Shivali Agarwal ,  Saeed Bagheri ,  Jarir K. Chaar ,  Ali Parandehgheibi ,  Krishna C. Ratakonda ,  Bikram Sengupta

发明人： Shivali Agarwal ,  Saeed Bagheri ,  Jarir K. Chaar ,  Ali Parandehgheibi ,  Krishna C. Ratakonda ,  Bikram Sengupta

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04 ,  G06Q10/06

摘要： A computer implemented method, system, and/or computer program product generate an optimal training policy and an optimal promotion policy to accommodate an upcoming project. Required new job positions are identified for an upcoming project. A skillset matrix, which describes a current skill level of each worker in a work unit, and a promotion matrix, which describes historical evaluations of how well each worker achieved predefined goals of past projects, are generated. The skillset matrix is utilized to create an optimal training policy that identifies which workers are in need of additional training in order to qualify for one or more of the identified new job positions, and the promotion matrix is utilized create an optimal promotion policy that identifies which workers will be candidates for being promoted into one or more of the identified said new job positions.

摘要翻译： 计算机实现的方法，系统和/或计算机程序产品产生最佳培训政策和最佳促销政策以适应即将到来的项目。 为即将到来的项目确定所需的新工作职位。 描述了工作单位中每个工人的当前技能水平的技能组矩阵，以及描述了每个员工实现过去项目的预定目标的历史评估的晋升矩阵。 技能组矩阵用于创建最佳的培训政策，以确定哪些工人需要额外的培训，以符合一个或多个所识别的新工作职位，并且利用促销矩阵创建一个最佳促销政策，以确定哪个 工作人员将被提拔为一个或多个已确定的新职位的候选人。

公开(公告)号：US07908583B2

公开(公告)日：2011-03-15

申请号：US11321673

申请日：2005-12-29

申请人： Bikram Sengupta ,  Vibha S Sinha ,  Satish Chandra

发明人： Bikram Sengupta ,  Vibha S Sinha ,  Satish Chandra

IPC分类号： G06F9/44

CPC分类号： G06F8/10

摘要： Traceability links between software specification requirements are evidentially enriched. A traceability link indicates that a second specification requirement is dependent to some degree on a first specification requirement. A likelihood that the second specification requirement for software changes due to the first specification requirement for the software changing, and/or a degree of change of the second specification requirement due to the first specification requirement changing, are determined. A coupling value for the traceability link may be determined as directly proportional to the likelihood that the second specification requirement changes due to the first specification requirement changing, and to the degree of change of the second specification requirement due to the first specification requirement changing.

摘要翻译： 软件规范要求之间的可追溯性联系正在被丰富。 可跟踪链接指示第二规范要求在一定程度上取决于第一规范要求。 确定由于软件变更的第一规格要求而导致的软件的第二规格要求变化和/或由于第一规格要求变化而导致的第二规格要求的变化程度的可能性。 可追溯性链接的耦合值可以被确定为与第二规格要求由于第一规格要求改变而改变的可能性成正比，以及由于第一规格要求改变而导致的第二规格要求的变化程度。

公开(公告)号：US20090193112A1

公开(公告)日：2009-07-30

申请号：US12019710

申请日：2008-01-25

申请人： Bikram Sengupta ,  Nilanjan Banerjee ,  Arun Kumar

发明人： Bikram Sengupta ,  Nilanjan Banerjee ,  Arun Kumar

IPC分类号： G06F15/173

CPC分类号： G06F11/28

摘要： Techniques for monitoring one or more transaction instances in a real-time network are provided. The techniques include obtaining one or more system log files, wherein one or more footprints left by one or more transaction instances are recorded in the one or more system log files, obtaining a transaction model, wherein the transaction model comprises one or more transaction steps and a footprint pattern corresponding with each transaction step, and using the one or more system log files and the transaction model to monitor the one or more transaction instances in a real-time network at least one of an individual level and one or more aggregate levels.

摘要翻译： 提供了用于监视实时网络中的一个或多个事务实例的技术。 所述技术包括获得一个或多个系统日志文件，其中一个或多个事务实例留下的一个或多个占用空间被记录在所述一个或多个系统日志文件中，获得事务模型，其中所述事务模型包括一个或多个事务步骤和 与每个事务步骤相对应的占用空间图案，以及使用所述一个或多个系统日志文件和所述事务模型来监视实时网络中的个体级别和一个或多个聚合级别中的至少一个的一个或多个事务实例。

公开(公告)号：US20130054292A1

公开(公告)日：2013-02-28

申请号：US13217527

申请日：2011-08-25

申请人： Hari Shankar Gupta ,  Bikram Sengupta

发明人： Hari Shankar Gupta ,  Bikram Sengupta

IPC分类号： G06Q10/06

CPC分类号： G06Q10/06 ,  G06Q10/103 ,  Y02P90/86

摘要： Described herein are methods, systems, apparatuses and products for determining relative criticality of service tickets in factory-style shared delivery. An aspect provides for accessing ticket information, accessing service level agreement information, accessing future volume estimation information, estimating a number of missed service level objectives that are permissible without having a service level agreement breach; and determining a criticality of at least one received ticket based on said ticket information, said service level agreement information, and said future volume estimation information. Other embodiments are disclosed.

摘要翻译： 这里描述了用于确定工厂式共享传递中的服务票据的相对关键性的方法，系统，装置和产品。 一方面提供访问票据信息，访问服务级别协议信息，访问未来体积估计信息，估计许可的许多未经服务级别协议违约允许的服务级别目标; 以及基于所述票据信息，所述服务级别协议信息和所述未来体积估计信息来确定至少一个接收到的票证的关键性。 公开了其他实施例。

公开(公告)号：US08041125B2

公开(公告)日：2011-10-18

申请号：US12061739

申请日：2008-04-03

申请人： Vibha S. Sinha ,  Bikram Sengupta ,  Satish Chandra

发明人： Vibha S. Sinha ,  Bikram Sengupta ,  Satish Chandra

IPC分类号： G06K9/62

CPC分类号： G06F17/30572 ,  G06F17/30643

摘要： A data visualization device comprises a focal attribute calculator for calculating a focal value of each of a plurality of data input items, and for categorizing each of the plurality of data input items as either non-cluster blobs or second blobs. The device further comprises a clustering attribute calculator for clustering data input items categorized as second blobs into one or more cluster blobs, and a visualization shaper for arranging the one or more cluster blobs and the non-cluster blobs, relative to each other in accordance with the focal values of the data input items of respective blobs.

摘要翻译： 数据可视化装置包括焦点属性计算器，用于计算多个数据输入项中的每一个的焦点值，并且用于将多个数据输入项中的每一个分类为非群集斑点或第二个斑点。 该设备还包括聚类属性计算器，用于将分类为第二块的数据输入项聚类到一个或多个聚类块中;以及可视化整形器，用于根据相应的方式相对于彼此排列一个或多个簇斑点和非簇斑点 各个斑点的数据输入项的焦点值。