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    • 1. 发明授权
    • Methods and systems for managing data stored on a contactless flash memory device
    • 用于管理存储在非接触式闪存设备上的数据的方法和系统
    • US07895245B2
    • 2011-02-22
    • US11555003
    • 2006-10-31
    • Jun LiRiddhiman GhoshThomas RathboneMohamed Dekhil
    • Jun LiRiddhiman GhoshThomas RathboneMohamed Dekhil
    • G06F17/30
    • G07F7/1008G06Q20/341G06Q20/3576G11C16/10
    • Methods, systems and machine readable medium storing a machine readable program for managing data stored on a contactless flash memory device are disclosed. A compiled version of a hierarchical data model defined using a high level data structure definition language is provided at a host unit. The host unit is operable to run on a host platform. The compiled version of the hierarchical data model is compiled for the host platform. A first representation of a first hierarchical data structure is received from a contactless flash memory device at the host unit via a contactless communication channel. The first hierarchical data structure is a first instantiation of the hierarchical data model. A second representation of the first hierarchical data structure is generated in accordance with the compiled hierarchical data model at the host unit.
    • 公开了存储用于管理存储在非接触式闪存设备上的数据的机器可读程序的方法,系统和机器可读介质。 在主机单元处提供使用高级数据结构定义语言定义的分层数据模型的编译版本。 主机单元可操作以在主机平台上运行。 为主机平台编译了层次数据模型的编译版本。 第一分层数据结构的第一表示是通过非接触式通信信道从主机单元处的非接触式闪存设备接收的。 第一层次数据结构是层次数据模型的第一个实例化。 根据主机单元上编译的分层数据模型生成第一分层数据结构的第二表示。
    • 2. 发明申请
    • Methods And Systems For Managing Data Stored On A Contactless Flash Memory Device
    • 用于管理存储在非接触式闪存设备上的数据的方法和系统
    • US20080104098A1
    • 2008-05-01
    • US11555003
    • 2006-10-31
    • Jun LiRiddhiman GhoshThomas RathboneMohamed Dekhil
    • Jun LiRiddhiman GhoshThomas RathboneMohamed Dekhil
    • G06F7/00
    • G07F7/1008G06Q20/341G06Q20/3576G11C16/10
    • Methods, systems and machine readable medium storing a machine readable program for managing data stored on a contactless flash memory device are disclosed. A compiled version of a hierarchical data model defined using a high level data structure definition language is provided at a host unit. The host unit is operable to run on a host platform. The compiled version of the hierarchical data model is compiled for the host platform. A first representation of a first hierarchical data structure is received from a contactless flash memory device at the host unit via a contactless communication channel. The first hierarchical data structure is a first instantiation of the hierarchical data model. A second representation of the first hierarchical data structure is generated in accordance with the compiled hierarchical data model at the host unit.
    • 公开了存储用于管理存储在非接触式闪存设备上的数据的机器可读程序的方法,系统和机器可读介质。 在主机单元处提供使用高级数据结构定义语言定义的分层数据模型的编译版本。 主机单元可操作以在主机平台上运行。 为主机平台编译了层次数据模型的编译版本。 第一分层数据结构的第一表示是通过非接触式通信信道从主机单元处的非接触式闪存设备接收的。 第一层次数据结构是层次数据模型的第一个实例化。 根据主机单元上编译的分层数据模型生成第一分层数据结构的第二表示。
    • 4. 发明申请
    • Managing Content from Structured and Unstructured Data Sources
    • 从结构化和非结构化数据源管理内容
    • US20130205195A1
    • 2013-08-08
    • US13878481
    • 2010-10-19
    • Mohamed DekhilChetan Kumar Gupta
    • Mohamed DekhilChetan Kumar Gupta
    • G06F17/21
    • G06F17/218G06Q10/10G06Q30/02
    • The present disclosure provides a computer-implemented method (300) of managing content from structured and unstructured data sources. The method (300) includes adding a first item to an information management project, wherein the first item includes unstructured content selected from an unstructured data source and a data link corresponding to the unstructured content (304). The method (300) also includes adding a second item to the information management project, wherein the second item includes a database query and structured data corresponding to the database query (306). The method (300) also includes generating a presentation document based on the information management project, the presentation document comprising the unstructured content and the structured data (308).
    • 本公开提供了一种从结构化和非结构化数据源管理内容的计算机实现的方法(300)。 方法(300)包括将第一项目添加到信息管理项目,其中第一项目包括从非结构化数据源和对应于非结构化内容的数据链路选择的非结构化内容(304)。 方法(300)还包括向信息管理项目添加第二项目,其中第二项目包括对应于数据库查询的数据库查询和结构化数据(306)。 所述方法(300)还包括基于所述信息管理项目生成呈现文档,所述呈现文档包括所述非结构化内容和所述结构化数据(308)。
    • 6. 发明授权
    • Method and apparatus auto-discovering components of distributed services
    • 方法和设备自动发现分布式服务的组件
    • US06834303B1
    • 2004-12-21
    • US09711785
    • 2000-11-13
    • Pankaj K. GargMohamed DekhilKlaus WursterJerremy HollandMartin L. GrissVijay Machiraju
    • Pankaj K. GargMohamed DekhilKlaus WursterJerremy HollandMartin L. GrissVijay Machiraju
    • G06F1516
    • H04L41/12H04L41/5058H04L67/16H04L69/329
    • An auto-discovery system discovers related components of a service operating on a distributed network. This auto-discovery system involves (1) selecting a model of the configuration of the service; (2) determining, from the model, “scope hints” that limit the possible locations of related components; (3) determining a root component of the service; (4) using scope hints to limit the search, to rapidly find related instances of components contained in the root service component; (5) determining whether a quorum of components comprising a distributed service has been discovered; (6) determining the parent service component of each discovered service component by instance matching; and (7) using the instance match information to determine the discovery tree of components that have the structure of the service map, share a common root component, and define a service group. This auto-discovery system efficiently discovers the components of a wide range of services within a distributed environment. The system limits the scope of searches for components related to previously discovered components. The system determines the relationships between the discovered service components, and matches them into groups of related services. This enables an operational manager of a distributed service to better determine service configurations, expand resource bottlenecks, and improve an end-users' experience.
    • 自动发现系统发现在分布式网络上运行的业务的相关组件。 该自动发现系统包括(1)选择服务配置的模型; (2)从模型中确定限制相关组件可能位置的“范围提示”; (3)确定服务的根部分; (4)使用范围提示限制搜索,快速查找根服务组件中包含的组件的相关实例; (5)确定是否已经发现包括分布式服务的组件的法定人数; (6)通过实例匹配确定每个发现的服务组件的父服务组件; 和(7)使用实例匹配信息来确定具有服务映射结构的组件的发现树,共享公共根组件并定义服务组。 该自动发现系统有效地发现分布式环境中广泛服务的组件。 系统限制与先前发现的组件相关的组件的搜索范围。 系统确定所发现的服务组件之间的关系,并将其与相关服务组相匹配。 这使得分布式服务的运营经理能够更好地确定服务配置,扩展资源瓶颈,并改善终端用户的体验。
    • 9. 发明申请
    • Visually Representing How a Sentiment Score is Computed
    • 视觉表示情绪评分如何计算
    • US20130018892A1
    • 2013-01-17
    • US13181059
    • 2011-07-12
    • Maria G. CastellanosPerla RuizUmeshwar DayalMohamed Dekhil
    • Maria G. CastellanosPerla RuizUmeshwar DayalMohamed Dekhil
    • G06F17/30
    • G06Q50/01
    • A method of visually representing how a sentiment score is computed comprises, with a sentiment scoring device, determining a number of sentiment scores for each of a number of attributes within a forum, writing a visualization file in a database based on metadata representing the sentiment scores, and outputting, to an output device, a representation of how the sentiment score was computed based on the visualization file. A system for displaying to a user how a sentiment score is computed comprises a sentiment scoring device, a forum source communicatively coupled to the sentiment scoring device, and an output device communicatively coupled to the sentiment scoring device, in which the sentiment scoring device obtains text from the forum source, determines sentiment scores for a number of attributes within the text, and outputs, to the output device, a representation of how the sentiment score was computed.
    • 一种视觉表示如何计算情绪评分的方法包括用情感评分装置确定论坛内的多个属性中的每一个的情绪评分数,基于表示情绪评分的元数据将可视化文件写入数据库 ,并且向输出设备输出基于可视化文件如何计算情绪评分的表示。 用于向用户显示如何计算情绪评分的系统包括情感评分装置,通信地耦合到情感评分装置的论坛源,以及通信地耦合到情绪评分装置的输出装置,其中情绪评分装置获取文本 从论坛来源,确定文本中的多个属性的情感分数,并将输出设备输出到如何计算情绪评分。
    • 10. 发明授权
    • Predicting system behavior of a managed system using pattern recognition techniques
    • 使用模式识别技术预测受管系统的系统行为
    • US06522768B1
    • 2003-02-18
    • US09494842
    • 2000-01-31
    • Mohamed DekhilJerremy Holland
    • Mohamed DekhilJerremy Holland
    • G06K900
    • G06K9/00
    • A system for predicting system behavior of a managed system includes a measurement module coupled to the managed system to generate measurement data of the managed system. The measurement data include current measurement data and past measurement data. The past measurement data indicate a problem of the managed system. A pattern classification module is coupled to the measurement module to process the past measurement data into a plurality of representative pattern images, and to select a predictor pattern image that best identifies the problem from the pattern images. A pattern matching module is coupled to the pattern classification module and the measurement module to process the current measurement data into a plurality of pattern images using the same image processing technique that generates the predictor pattern image. The pattern matching module also identifies any pattern image that matches the predictor pattern image to predict the problem. A system for generating a predictor pattern image for predicting system behavior of a managed system is also described.
    • 用于预测受管系统的系统行为的系统包括耦合到被管理系统的测量模块以产生被管理系统的测量数据。 测量数据包括当前测量数据和过去的测量数据。 过去的测量数据表明受管系统的问题。 模式分类模块耦合到测量模块以将过去的测量数据处理成多个代表性的图案图像,并且从图案图像中选择最能识别问题的预测图案图像。 模式匹配模块耦合到模式分类模块和测量模块,以使用生成预测图案图像的相同图像处理技术将当前测量数据处理成多个模式图像。 模式匹配模块还识别与预测器模式图像匹配的任何模式图像以预测问题。 还描述了一种用于生成用于预测被管理系统的系统行为的预测器模式图像的系统。