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1. 发明授权

US08976710B2 Methods for discovering and analyzing network topologies and devices thereof 有权
标题翻译：用于发现和分析网络拓扑及其设备的方法
公开(公告)号：US08976710B2
公开(公告)日：2015-03-10
申请号：US13530791
申请日：2012-06-22
申请人： Kishore Varma Indukuri , Shahanaz Syed , Radha Krishna Pisipati
发明人： Kishore Varma Indukuri , Shahanaz Syed , Radha Krishna Pisipati
IPC分类号： H04L12/28 , G06Q10/00 , H04L12/42 , H04L12/44
CPC分类号： G06Q10/00 , H04L12/42 , H04L12/44
摘要： A method, non-transitory computer readable medium, and apparatus for discovering and analyzing a network topology includes obtaining information regarding a network including a relationship of a plurality of nodes of the network. At least one value for each of a plurality of centrality parameters is determined for each of the plurality of nodes. At least one topology score for each of the plurality of nodes is generated based on one or more of the centrality parameter values. One or more relatively significant nodes are identified based on one or more of the topology scores and output.
摘要翻译：用于发现和分析网络拓扑的方法，非暂时计算机可读介质和装置包括获得关于包括网络的多个节点的关系的网络的信息。为多个节点中的每一个确定多个中心参数中的每一个的至少一个值。基于中心性参数值中的一个或多个，生成多个节点中的每一个的至少一个拓扑得分。基于一个或多个拓扑得分和输出来识别一个或多个相对重要的节点。

2. 发明授权

US08930362B2 System and method for streak discovery and prediction 有权
标题翻译：条纹发现和预测的系统和方法
公开(公告)号：US08930362B2
公开(公告)日：2015-01-06
申请号：US13111259
申请日：2011-05-19
申请人： Satyabrata Pradhan , Radha Krishna Pisipati , Syed Mohammed
发明人： Satyabrata Pradhan , Radha Krishna Pisipati , Syed Mohammed
IPC分类号： G06F17/30 , G06K9/00
CPC分类号： G06K9/0055
摘要： The disclosed embodiment relates to identifying performance regions in time-series data. An exemplary method comprises identifying, with a computing device, one or more streaks in the time-series data based on at least one streak parameter, ranking, with a computing device, the identified streaks based on at least one characteristic of the identified streaks, and predicting, with a computing device, a future occurrence of at least one streak based on the characteristics of the identified streaks. The steps of identifying and ranking may be carried out using at least one of a linear graph method, a statistical based approach, a curve-line intersection method, and a hypothesis-based method, and the step of predicting the future occurrence of at least one streak may comprise predicting at least one of how long a current streak will continue, when a current streak will end, and when a new streak will begin. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods.
摘要翻译：所公开的实施例涉及识别时间序列数据中的性能区域。一种示例性方法包括使用计算设备，基于至少一个条纹参数来识别时间序列数据中的一个或多个条纹，使用计算设备将识别的条纹基于所识别的条纹的至少一个特征，并且基于所识别的条纹的特征，使用计算设备预测至少一条条纹的未来发生。识别和排序的步骤可以使用线性图法，基于统计的方法，曲线交叉法和基于假设的方法中的至少一种进行，以及至少预测未来发生的步骤一条连线可能包括预测当前条纹将持续多长时间，当前条纹将结束，以及何时开始新条纹中的至少一条。所公开的实施例还涉及可用于实现示例性方法的系统和计算机可读代码。

3. 发明授权

US09406018B2 Systems and methods for semantic data integration 有权
标题翻译：语义数据集成的系统和方法
公开(公告)号：US09406018B2
公开(公告)日：2016-08-02
申请号：US13531117
申请日：2012-06-22
申请人： Sujatha Raviprasad Upadhyaya , Radha Krishna Pisipati
发明人： Sujatha Raviprasad Upadhyaya , Radha Krishna Pisipati
IPC分类号： G06F15/18 , G06N5/02 , G06K9/62 , G06N99/00 , G06N7/00
CPC分类号： G06N5/02 , G06K9/6256 , G06K9/6269 , G06N5/025 , G06N7/005 , G06N99/005
摘要： Embodiments of the present invention relate to a system for data integration and information retrieval by bringing semantically related data together for a given context. As described, the integration of data may include the building of an ontology, the mapping of one or more processes, semantic maps and concept dictionaries in the ontology to one or more data sources, tagging the data sources in accordance with the ontology, providing a query interface for accepting an input query from a user, the mapping of the input query to one or more concepts in the ontology, and deriving one or more subqueries thereby, and the querying of data sources in accordance with the composed one or more subqueries, wherein the data sources queried are tagged with one or more concepts from the ontology. Additionally, the tracking of data across data sources in accordance with a defined data value chain is disclosed.
摘要翻译：本发明的实施例涉及一种用于数据集成和信息检索的系统，用于将给定上下文的语义相关数据一起提供。如上所述，数据的集成可以包括构建本体，将本体中的一个或多个进程，语义地图和概念词典映射到一个或多个数据源，根据本体标记数据源，提供一个用于接受来自用户的输入查询的查询界面，将输入查询映射到本体中的一个或多个概念，以及由此导出一个或多个子查询，以及根据所组成的一个或多个子查询来查询数据源，其中查询的数据源被标记有来自本体的一个或多个概念。另外，公开了根据定义的数据价值链对跨数据源的数据的跟踪。

4. 发明申请

US20130132371A1 METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR PROVIDING A QUERY LAYER FOR CLOUD DATABASES 有权
标题翻译：方法，系统和计算机可读介质，用于为云数据库提供查询层
公开(公告)号：US20130132371A1
公开(公告)日：2013-05-23
申请号：US13304043
申请日：2011-11-23
申请人： S/shri. V. Bharath , Satyanarayana R. Valluri , Kamalakar Karlapalem , Radha Krishna Pisipati
发明人： S/shri. V. Bharath , Satyanarayana R. Valluri , Kamalakar Karlapalem , Radha Krishna Pisipati
IPC分类号： G06F17/30
CPC分类号： G06F17/30463
摘要： Computer-implemented methods, systems and computer-readable media for providing a query layer for cloud databases comprise importing data into said cloud by at least one of the computing devices, converting at least one of the queries over row-store database into a query over column-store database by means of cost based query optimizer and retrieving said data from the column-store database based on said query by at least one of the computing devices.
摘要翻译：用于为云数据库提供查询层的计算机实现的方法，系统和计算机可读介质包括由至少一个计算设备将数据导入到所述云中，通过行存储数据库将至少一个查询转换成查询通过基于成本的查询优化器的列存储数据库，并且由至少一个计算设备基于所述查询从列存储数据库检索所述数据。

5. 发明申请

US20120254176A1 SYSTEM AND METHOD FOR STREAK DISCOVERY AND PREDICTION 有权
标题翻译：用于发现和预测的系统和方法
公开(公告)号：US20120254176A1
公开(公告)日：2012-10-04
申请号：US13111259
申请日：2011-05-19
申请人： Satyabrata Pradhan , Radha Krishna Pisipati , Syed Mohammed
发明人： Satyabrata Pradhan , Radha Krishna Pisipati , Syed Mohammed
IPC分类号： G06F17/30
CPC分类号： G06K9/0055
摘要： The disclosed embodiment relates to identifying performance regions in time-series data. An exemplary method comprises identifying, with a computing device, one or more streaks in the time-series data based on at least one streak parameter, ranking, with a computing device, the identified streaks based on at least one characteristic of the identified streaks, and predicting, with a computing device, a future occurrence of at least one streak based on the characteristics of the identified streaks. The steps of identifying and ranking may be carried out using at least one of a linear graph method, a statistical based approach, a curve-line intersection method, and a hypothesis-based method, and the step of predicting the future occurrence of at least one streak may comprise predicting at least one of how long a current streak will continue, when a current streak will end, and when a new streak will begin. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods.
摘要翻译：所公开的实施例涉及识别时间序列数据中的性能区域。一种示例性方法包括使用计算设备，基于至少一个条纹参数来识别时间序列数据中的一个或多个条纹，使用计算设备将识别的条纹基于所识别的条纹的至少一个特征，并且基于所识别的条纹的特征，使用计算设备预测至少一条条纹的未来发生。识别和排序的步骤可以使用线性图法，基于统计的方法，曲线交叉法和基于假设的方法中的至少一种进行，以及至少预测未来发生的步骤一条连线可能包括预测当前条纹将持续多长时间，当前条纹将结束，以及何时开始新条纹中的至少一条。所公开的实施例还涉及可用于实现示例性方法的系统和计算机可读代码。

6. 发明授权

US10474752B2 System and method for slang sentiment classification for opinion mining 有权
公开(公告)号：US10474752B2
公开(公告)日：2019-11-12
申请号：US13325144
申请日：2011-12-14
申请人： Kishore Varma Indukuri , Manuel Kantharaj , Radha Krishna Pisipati
发明人： Kishore Varma Indukuri , Manuel Kantharaj , Radha Krishna Pisipati
IPC分类号： G06F17/27 , G06F17/28
摘要： The present disclosure describes a method of sentiment oriented slang for opinion mining. With increasing use of internet, many users can submit their review comments directly to the companies which can be automatically processed and summarized with critical issues from time to time and help the company get real time feedback from its customers. The method comprises, receiving at least one document comprising a plurality of sentiment oriented slang. The next step of the method comprises identifying the plurality of sentiment oriented slang in the at least one document. Further, a polarity score of each of a slang word identified is determined and sentiment information is displayed on an output device as an output.

7. 发明授权

US09372890B2 Methods, systems, and computer-readable media for providing a query layer for cloud databases 有权
标题翻译：用于为云数据库提供查询层的方法，系统和计算机可读介质
公开(公告)号：US09372890B2
公开(公告)日：2016-06-21
申请号：US13304043
申请日：2011-11-23
申请人： S/shri. V. Bharath , Satyanarayana R. Valluri , Kamalakar Karlapalem , Radha Krishna Pisipati
发明人： S/shri. V. Bharath , Satyanarayana R. Valluri , Kamalakar Karlapalem , Radha Krishna Pisipati
IPC分类号： G06F17/30
CPC分类号： G06F17/30463
摘要： A method, non-transitory computer readable medium, and apparatus for receiving data from a cloud database. One or more queries requesting data from the cloud database are received. The one or more queries are converted from a row-store database query into a column-store database query. An optimal join plan is identified for the one or more queries using a cost based optimizer based on metadata for one or more relations in the cloud database. The optimal join plan is executed using a cloud application programming interface.
摘要翻译：一种用于从云数据库接收数据的方法，非暂时计算机可读介质和装置。接收到从云数据库请求数据的一个或多个查询。一个或多个查询从行存储数据库查询转换为列存储数据库查询。使用基于成本的优化器，基于云数据库中的一个或多个关系的元数据为一个或多个查询确定最佳连接计划。使用云应用程序编程接口执行最佳连接计划。

8. 发明授权

US09280535B2 Natural language querying with cascaded conditional random fields 有权
标题翻译：自然语言查询与级联条件随机字段
公开(公告)号：US09280535B2
公开(公告)日：2016-03-08
申请号：US13117077
申请日：2011-05-26
申请人： Kishore Indukuri Varma , Srikumar Krishnamoorthy , Radha Krishna Pisipati
发明人： Kishore Indukuri Varma , Srikumar Krishnamoorthy , Radha Krishna Pisipati
IPC分类号： G06F7/00 , G06F17/30 , G06F17/27
CPC分类号： G06F17/2785 , G06F17/30401
摘要： A natural language query tool comprising cascaded conditional random fields (CRFs) (e.g., a linear-chain CRF and a skip-chain CRF applied sequentially) processes natural language input to produce output that can be used in database searches. For example, cascaded CRFs extract entities from natural language input that correspond to column names or column values in a database, and identify relationships between the extracted entities. A search engine can execute queries based on output from the cascaded CRFs over an inverted index of a database, which can be based on one or more materialized views of the database. Results can be sorted (e.g., according to relevance scores) and presented in a user interface.
摘要翻译：包括级联条件随机字段（CRF）（例如，顺序应用的线性链CRF和跳过链CRF）的自然语言查询工具处理自然语言输入以产生可用于数据库搜索的输出。例如，级联CRF从对应于数据库中的列名或列值的自然语言输入中提取实体，并且识别提取的实体之间的关系。搜索引擎可以基于数据库的反向索引上的级联CRF的输出执行查询，这可以基于数据库的一个或多个物化视图。结果可以被排序（例如，根据相关性得分）并呈现在用户界面中。

9. 发明申请

US20130163471A1 METHODS FOR DISCOVERING AND ANALYZING NETWORK TOPOLOGIES AND DEVICES THEREOF 有权
标题翻译：发现和分析网络拓扑的方法及其设备
公开(公告)号：US20130163471A1
公开(公告)日：2013-06-27
申请号：US13530791
申请日：2012-06-22
申请人： Kishore Varma INDUKURI , Shahanaz SYED , Radha Krishna PISIPATI
发明人： Kishore Varma INDUKURI , Shahanaz SYED , Radha Krishna PISIPATI
IPC分类号： H04L12/28
CPC分类号： G06Q10/00 , H04L12/42 , H04L12/44
摘要： A method, non-transitory computer readable medium, and apparatus for discovering and analyzing a network topology includes obtaining information regarding a network including a relationship of a plurality of nodes of the network. At least one value for each of a plurality of centrality parameters is determined for each of the plurality of nodes. At least one topology score for each of the plurality of nodes is generated based on one or more of the centrality parameter values. One or more relatively significant nodes are identified based on one or more of the topology scores and output.
摘要翻译：用于发现和分析网络拓扑的方法，非暂时计算机可读介质和装置包括获得关于包括网络的多个节点的关系的网络的信息。为多个节点中的每一个确定多个中心参数中的每一个的至少一个值。基于中心性参数值中的一个或多个，生成多个节点中的每一个的至少一个拓扑得分。基于一个或多个拓扑得分和输出来识别一个或多个相对重要的节点。

10. 发明申请

US20130073192A1 SYSTEM AND METHOD FOR ON-ROAD TRAFFIC DENSITY ANALYTICS USING VIDEO STREAM MINING AND STATISTICAL TECHNIQUES 有权
标题翻译：使用视频采矿和统计技术的道路交通密度分析系统和方法
公开(公告)号：US20130073192A1
公开(公告)日：2013-03-21
申请号：US13614267
申请日：2012-09-13
申请人： Rudra Narayan Hota , Kishore Jonna , Radha Krishna Pisipati
发明人： Rudra Narayan Hota , Kishore Jonna , Radha Krishna Pisipati
IPC分类号： G06G7/76
CPC分类号： G08G1/04
摘要： A method and system for analyzing on-road traffic density are provided. The method involves allowing a user to select a video image capturing device and coordinates in a video image frame captured by the video image capturing device such that the coordinates form a region of interest (ROI). The ROI is processed to generate a confidence value and a traffic density value. The traffic density value is compared with a first set of threshold values. Based on the comparison, the traffic density values at different instants in a time window are displayed to enable monitoring of the traffic trend.
摘要翻译：提供了一种用于分析道路交通密度的方法和系统。该方法包括允许用户选择视频图像捕获设备并且在由视频图像捕获设备捕获的视频图像帧中进行坐标，使得坐标形成感兴趣区域（ROI）。处理ROI以产生置信度值和交通密度值。将交通密度值与第一组阈值进行比较。基于比较，显示了时间窗口中不同时刻的交通流量密度值，以便监测交通流量。

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