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    • 61. 发明授权
    • Access control over dynamic intellectual capital content
    • 访问控制动态智力资本内容
    • US07428756B2
    • 2008-09-23
    • US10691283
    • 2003-10-22
    • Michael J. Wookey
    • Michael J. Wookey
    • H04L9/32
    • G06F21/6281
    • Methods, systems, and articles of manufacture consistent with the present invention provide for access control over dynamic intellectual capital content. A subscriber subscribes to a datatype, the datatype having a predetermined runtime property that restricts use of the datatype. The datatype is associated with a data referenced in the datatype and maintained separate from the datatype. The datatype is received responsive to the subscription. A determination is made whether the runtime properties are valid. If the runtime properties are valid, a determination is made whether a user of the subscriber has permission to access the data referenced in the datatype. If the user has permission to access the data, the user is provided access to the data.
    • 与本发明一致的方法,系统和制品提供对动态智力资本内容的访问控制。 订户订阅数据类型,数据类型具有限制数据类型使用的预定运行时属性。 数据类型与数据类型中引用的数据相关联,并与数据类型保持分离。 响应订阅接收数据类型。 确定运行时属性是否有效。 如果运行时属性有效,则确定用户的用户是否具有访问数据类型中引用的数据的权限。 如果用户具有访问数据的权限,则向用户提供对数据的访问。
    • 62. 发明申请
    • System and method for the scalable processing of knowledge collected for a knowledge base
    • 用于知识库收集知识的可扩展处理的系统和方法
    • US20080071715A1
    • 2008-03-20
    • US11510758
    • 2006-08-28
    • Michael J. Wookey
    • Michael J. Wookey
    • G06N5/00
    • G06Q10/06
    • A knowledge generation machine (KGM) that can scale to the high volumes of software processing that may be required, as well as manage the unpredictable nature of the size of each processing element, is provided. A KGM master dynamically creates and destroys KGM nodes based on availability, performance, and resource allocation. Unlike the conventional systems, the present KGM receives performance feedback from KGM nodes and can use that performance information in determining which KGM nodes should be assigned information, reused, or destroyed. Further, efficient garbage collection ensures that resources can be de-allocated when needed. Thus, the KGM can scale to handle large spikes of incoming information.
    • 提供了可以扩展到可能需要的大量软件处理的知识生成机器(KGM),以及管理每个处理元件的大小的不可预测的性质。 KGM主机根据可用性,性能和资源分配动态创建和销毁KGM节点。 与常规系统不同,本KGM从KGM节点接收性能反馈,并可以使用该性能信息来确定哪些KGM节点应被分配信息,重用或销毁。 此外,有效的垃圾回收确保了在需要时资源可以被分配。 因此,KGM可以扩展以处理大量的进入信息。
    • 63. 发明授权
    • Managing and predicting component failure based on pattern recognition of subcomponent exposure to failure
    • 基于子组件暴露于故障的模式识别来管理和预测组件故障
    • US07293042B2
    • 2007-11-06
    • US10691278
    • 2003-10-22
    • Michael J. Wookey
    • Michael J. Wookey
    • G06F7/00G06F17/00
    • G06F11/008Y10S707/99945Y10S707/99948
    • Methods, systems, and articles of manufacture consistent with the present invention provide for predicting system failure based on pattern recognition of subcomponent exposure to failure. A dataset is generated that has at least one exposure level to failure of a computer-based system and a corresponding rule identifier of a rule used to calculate the exposure level. The rule asynchronously receives information about the computer-based system and calculates the exposure level based on the received information. The generated dataset is compared to a previously generated dataset by comparing the at least one exposure level of the dataset to an at least one exposure level with the same rule identifier in the previously generated dataset, where the previously generated dataset is associated with a known problem with the computer-based system. A probability of a problem with the computer-based system is calculated based on a number of exposure levels in the generated dataset matching exposures levels in the previously generated dataset.
    • 根据本发明的方法,系统和制品根据子组件暴露于故障的模式识别来预测系统故障。 生成的数据集具有至少一个基于计算机的系统的故障暴露级别和用于计算曝光级别的规则的相应规则标识符。 该规则异步地接收关于基于计算机的系统的信息,并基于接收到的信息来计算曝光级别。 将生成的数据集与先前生成的数据集进行比较,将数据集的至少一个曝光级别与先前生成的数据集中具有相同规则标识符的至少一个曝光级别进行比较,其中先前生成的数据集与已知问题相关联 与计算机系统。 基于计算机系统的问题的概率是根据先前生成的数据集中生成的数据集匹配曝光级别中的曝光级别数量来计算的。
    • 64. 发明授权
    • Nearest neighbor approach for improved training of real-time health monitors for data processing systems
    • 最近邻近的方法来改进对数据处理系统的实时健康监测器的训练
    • US07243265B1
    • 2007-07-10
    • US10690917
    • 2003-10-22
    • Michael J. WookeyKenneth C. GrossLawrence G. Votta, Jr.
    • Michael J. WookeyKenneth C. GrossLawrence G. Votta, Jr.
    • G06F11/00
    • G06F11/3409G06F11/2252G06F11/3452
    • Methods, systems, and articles of manufacture consistent with the present invention train a real-time health-monitor for a computer-based system while simultaneously monitoring the health of the system. A plurality of signals that each describe an operating condition of a subject data processing system are monitored in real-time. It is determined whether there is a problem with the subject data processing system by comparing at least one of the monitored signals to a corresponding at least one signal in a known signal dataset. The known signal dataset includes a signal value for at least one signal that describes an operating condition of one of a plurality of subject data processing systems. A new signal dataset having an entry for each monitored signal and a corresponding signal value is prepared simultaneously with monitoring the plurality of signals and determining whether there is a problem.
    • 与本发明一致的方法,系统和制品针对基于计算机的系统训练实时健康监测器,同时监测系统的健康状况。 每个描述对象数据处理系统的操作条件的多个信号被实时监视。 通过将所监测的信号中的至少一个与已知信号数据集中的对应的至少一个信号进行比较来确定对象数据处理系统是否存在问题。 已知的信号数据集包括用于描述多个对象数据处理系统之一的操作条件的至少一个信号的信号值。 在监视多个信号并确定是否存在问题的同时准备具有每个监视信号的条目和相应的信号值的新的信号数据集。
    • 67. 发明授权
    • Dynamic test update in a remote computer monitoring system
    • 远程计算机监控系统中的动态测试更新
    • US6085244A
    • 2000-07-04
    • US819500
    • 1997-03-17
    • Michael J. Wookey
    • Michael J. Wookey
    • G06F11/273G06F15/173
    • G06F11/2294
    • A remote monitoring system automatically communicates system diagnostic information from a monitored computer system to a remote service center at regular intervals. The monitored computer system includes a plurality of monitored computers coupled together by a network. One of the monitored computers is a master and others of the monitored computers are slaves coupled to the master. The monitored computers store system diagnostic information resulting from execution of diagnostic programs. The diagnostic information from the slaves is collected at a memory location accessible by the master before the diagnostic information from all of the monitored computers is communicated to the remote monitoring computer system. The remote monitoring computer system receives the diagnostic information at predetermined intervals and incorporates the diagnostic information into a searchable database. The diagnostic information includes data indicating currently installed hardware and software components on the monitored system. The remote monitoring computer system compares the current diagnostic information with previously received diagnostic information to determine if new components exist in the monitored system. If a new component exists, the remote monitoring computer system provides a new diagnostic test which is automatically incorporated into the diagnostics executed by the monitored system.
    • 远程监控系统会自动将系统诊断信息从受监控的计算机系统定期传送到远程服务中心。 受监控的计算机系统包括由网络耦合在一起的多个被监视的计算机。 受监控的计算机之一是主机,其他受监控的计算机是与主机耦合的从机。 受监控的计算机存储执行诊断程序所产生的系统诊断信息。 来自所有被监视计算机的诊断信息被传送到远程监视计算机系统之前,来自从站的诊断信息被收集在主站可访问的存储器位置。 远程监控计算机系统以预定间隔接收诊断信息,并将诊断信息合并到可搜索的数据库中。 诊断信息包括指示被监视系统上当前安装的硬件和软件组件的数据。 远程监控计算机系统将当前诊断信息与先前接收的诊断信息进行比较,以确定被监控系统中是否存在新组件。 如果存在新组件,则远程监控计算机系统将提供一种新的诊断测试,该诊断测试自动并入被监控系统执行的诊断。
    • 70. 发明授权
    • Validating data compliance in a web services framework
    • 验证Web服务框架中的数据合规性
    • US09438680B1
    • 2016-09-06
    • US11151968
    • 2005-06-14
    • Paris E. Bingham, Jr.Michael J. Wookey
    • Paris E. Bingham, Jr.Michael J. Wookey
    • G06F15/16H04L29/08
    • H04L67/16G06F9/46H04L67/02
    • A method, and associated system, for enforcing compliance with data definitions in an information or conceptual model. The method includes storing a set of data models, which define model parameter definitions, having a content based on data definitions of the conceptual model. A validator is positioned between a registry service and services use data definitions to define their data parameters. The registry service stores registered services in a service repository. The validator processes a registration request from one of the services that includes the data definitions for the parameters of the service. The processing includes accessing the data models and comparing each of the data definitions to a corresponding model parameter definition. When the registration request is determined compliant with the conceptual model, the service is deployed to the service registry. Typically, only registration requests processed by the validator are deployed to the service registry.
    • 一种方法和相关系统,用于强制遵守信息或概念模型中的数据定义。 该方法包括存储定义模型参数定义的数据模型集合,其具有基于概念模型的数据定义的内容。 验证器位于注册表服务和服务之间,使用数据定义来定义其数据参数。 注册表服务将注册服务存储在服务存储库中。 验证器处理来自包括服务参数的数据定义的服务之一的注册请求。 该处理包括访问数据模型并将每个数据定义与相应的模型参数定义进行比较。 当注册请求被确定符合概念模型时,该服务被部署到服务注册表。 通常,仅将验证器处理的注册请求部署到服务注册表中。