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    • 31. 发明授权
    • Non-intrusive event-driven prediction
    • 非侵入式事件驱动预测
    • US08468107B2
    • 2013-06-18
    • US12859243
    • 2010-08-18
    • Hung-yang ChangJoachim H. FrankChristoph LingenfelderLiangzhao Zeng
    • Hung-yang ChangJoachim H. FrankChristoph LingenfelderLiangzhao Zeng
    • G06F15/18G06F17/00G06Q10/00
    • G06N3/049G06N5/047G06Q10/04G06Q10/06G06Q30/02
    • A method, system, and computer usable program product for non-intrusive event-driven prediction of a metric in a data processing environment are provided in the illustrative embodiments. At least one set of events is observed in the data processing environment, the set of events being generated by several processes executing in the data processing environment. A subset of the set of events are tracked for an observation period, the tracking resulting in bookkeeping information about the subset of events. A pattern of events is detected in the bookkeeping information. The pattern is formed as a tuple representing a process in the several processes, the metric corresponding to the process. A prediction model is selected for the tuple. The prediction model is supplied with the tuple and executed to generate a predicted value of the metric.
    • 在说明性实施例中提供了用于数据处理环境中的度量的非侵入式事件驱动预测的方法,系统和计算机可用程序产品。 在数据处理环境中观察到至少一组事件,该事件集是由数据处理环境中执行的几个进程生成的。 在观察期间跟踪事件集合的子集,跟踪导致关于事件子集的记账信息。 在簿记信息中检测到事件的模式。 该模式形成为表示多个进程中的进程的元组,对应于进程的度量。 为元组选择一个预测模型。 预测模型随元组一起提供,并被执行以产生度量的预测值。
    • 32. 发明授权
    • Method and apparatus of automatic method signature adaptation for dynamic web service invocation
    • 用于动态Web服务调用的自动方法签名适配方法和装置
    • US08326856B2
    • 2012-12-04
    • US12033275
    • 2008-02-19
    • Liang-Jie ZhangTian-Jy ChaoHung-Yang Chang
    • Liang-Jie ZhangTian-Jy ChaoHung-Yang Chang
    • G06F17/30
    • G06F9/546
    • A method (and apparatus) for adapting an input parameter, for dynamically invoking target Web services, and for adapting output results, includes receiving an invocation request including an input parameter in a first format. A semantic information representation module MetaWSDL (Meta Web Service Description Language), wherein the MetaWSDL includes a universal XML (eXtended Markup Language) representation which includes semantic information of a Web service method signature, is retrieved from a memory. A MetaWSDL processor is invoked to adapt the input parameter to a second format using the retrieved MetaWSDL. The target Web services are dynamically invoked, using the adapted parameter in the second format, and the output result in the first format is adapted to the second format, using the MetaWSDL.
    • 一种用于调整输入参数,用于动态调用目标Web服务以及用于调整输出结果的方法(和装置)包括接收包括第一格式的输入参数的调用请求。 语义信息表示模块MetaWSDL(元网络服务描述语言),其中MetaWSDL包括包含Web服务方法签名的语义信息的通用XML(扩展标记语言)表示,从存储器检索。 调用MetaWSDL处理器以使用检索的MetaWSDL将输入参数调整为第二格式。 使用第二格式的适配参数动态调用目标Web服务,并使用MetaWSDL将第一格式的输出结果适用于第二种格式。
    • 35. 发明申请
    • NON-INTRUSIVE EVENT-DRIVEN PREDICTION
    • 非侵入式事件驱动预测
    • US20120047099A1
    • 2012-02-23
    • US12859243
    • 2010-08-18
    • Hung-Yang ChangJoachim H. FrankChristoph LingenfelderLiangzhao Zeng
    • Hung-Yang ChangJoachim H. FrankChristoph LingenfelderLiangzhao Zeng
    • G06F15/18
    • G06N3/049G06N5/047G06Q10/04G06Q10/06G06Q30/02
    • A method, system, and computer usable program product for non-intrusive event-driven prediction of a metric in a data processing environment are provided in the illustrative embodiments. At least one set of events is observed in the data processing environment, the set of events being generated by several processes executing in the data processing environment. A subset of the set of events are tracked for an observation period, the tracking resulting in bookkeeping information about the subset of events. A pattern of events is detected in the bookkeeping information. The pattern is formed as a tuple representing a process in the several processes, the metric corresponding to the process. A prediction model is selected for the tuple. The prediction model is supplied with the tuple and executed to generate a predicted value of the metric.
    • 在说明性实施例中提供了用于数据处理环境中的度量的非侵入式事件驱动预测的方法,系统和计算机可用程序产品。 在数据处理环境中观察到至少一组事件,该事件集是由数据处理环境中执行的几个进程生成的。 在观察期间跟踪事件集合的子集,跟踪导致关于事件子集的记账信息。 在簿记信息中检测到事件的模式。 该模式形成为表示多个进程中的进程的元组,对应于进程的度量。 为元组选择一个预测模型。 预测模型随元组一起提供,并被执行以产生度量的预测值。
    • 36. 发明申请
    • Health Management Application Development and Deployment Framework
    • 健康管理应用程序开发和部署框架
    • US20120046966A1
    • 2012-02-23
    • US12859617
    • 2010-08-19
    • Hung-Yang ChangChia-Fang ChungPei-Yun Sabrina HsuehTsung-Chi HuangLiangzhao Zeng
    • Hung-Yang ChangChia-Fang ChungPei-Yun Sabrina HsuehTsung-Chi HuangLiangzhao Zeng
    • G06Q50/00G06Q10/00
    • G06Q50/24G06Q50/22G16H10/60G16H50/20G16H50/30G16H50/50
    • Techniques are disclosed for developing health management applications and managing health issues associated with one or more individuals or subjects. For example, a health management system includes the following modules. A health data transformation and routing module converts raw health data to at least one common format and routes the common format health data to one or more other modules that at least one of process and store the common format health data. A health monitoring module receives at least a portion of the common format health data, processes the received data, and provides one or more notifications based on processing results. A health analytics module receives data from one or more other modules and generates health knowledge based on the received data. A health data and knowledge storage module stores data from one or more other modules. Each of the health data transformation and routing module, the health monitoring module, and the health analytics module include one or more application programming interfaces for use in at least one of adding and editing logic associated with the respective module.
    • 公开了开发健康管理应用和管理与一个或多个个体或个体相关联的健康问题的技术。 例如,健康管理系统包括以下模块。 健康数据转换和路由模块将原始健康数据转换为至少一种通用格式,并将通用格式健康数据路由到一个或多个其他模块,至少一个模块处理和存储公共格式的健康数据。 健康监测模块接收至少一部分共同格式的健康数据,处理所接收的数据,并且基于处理结果提供一个或多个通知。 健康分析模块从一个或多个其他模块接收数据,并基于接收到的数据生成健康知识。 健康数据和知识存储模块存储来自一个或多个其他模块的数据。 卫生数据转换和路由模块,健康监测模块和健康分析模块中的每一个包括一个或多个应用编程接口,用于添加和编辑与相应模块相关联的逻辑中的至少一个。
    • 37. 发明申请
    • Method and System for Discerning Learning Characteristics of Individual Knowledge Worker and Associated Team In Service Delivery
    • 个人知识工作者和相关团队在服务交付中的学习特征的方法与系统
    • US20100002864A1
    • 2010-01-07
    • US12167196
    • 2008-07-02
    • Abhijit BoseHung-Yang ChangSreeram RamakrishnanDebanjan Saha
    • Abhijit BoseHung-Yang ChangSreeram RamakrishnanDebanjan Saha
    • H04M3/00
    • G06Q10/10
    • A method and system for measuring the learning ability and productivity of knowledge workers related to the delivery of services in service industry sectors, such as information technology (IT), healthcare and accounting. The method and system applies broadly to service domains that have a strong correlation between the learning ability and skill level of workers wherein the correlation affects the quality of service delivery. Utilizing data mining techniques, the method and system captures, analyzes and benchmarks individual knowledge worker's skill(s) in order to normalize individual service agent proficiencies. The normalized service agent proficiencies allows the relative learning and skill indices of the individual service agents to be determined such that the skills and learning abilities of individual service agents to be determined. The method and system allows best practices and training thresholds to be determined.
    • 一种用于衡量与信息技术(IT),医疗保健和会计等服务业部门服务交付相关的知识型员工的学习能力和生产力的方法和系统。 该方法和系统广泛适用于在相关性影响服务质量提供的工人的学习能力和技能水平之间具有强相关性的服务领域。 利用数据挖掘技术,该方法和系统捕获,分析和基准个人知识工作者的技能,以便使各个服务代理人的熟练程度正常化。 规范化的服务代理能力使得可以确定个人服务代理人的相对学习和技能指标,以确定个人服务代理人的技能和学习能力。 该方法和系统允许确定最佳实践和训练阈值。
    • 39. 发明申请
    • Method and apparatus of supporting business performance management with active shared data spaces
    • 使用主动共享数据空间来支持业务绩效管理的方法和设备
    • US20070047439A1
    • 2007-03-01
    • US11211740
    • 2005-08-26
    • Lianjun AnHung-Yang ChangShyh-Kwei ChenPawan ChowdharyMichael DikunJun-Jang JengJosef Schiefer
    • Lianjun AnHung-Yang ChangShyh-Kwei ChenPawan ChowdharyMichael DikunJun-Jang JengJosef Schiefer
    • H04L12/26
    • G06Q10/10G06Q10/063
    • A managed policy driven virtual data space for managing artifacts relationships and sharing artifacts among services. A policy model is used to represent business artifacts, sharing of the artifacts, and subscription of other artifacts that is of interest to current artifact and, to represent the various state of the artifact. An active shared space provides support functionality for the policy model, such as artifact lifecycle management. The active shared space also provides the support of sharing of such artifact with external/internal services and other artifacts. The active shared space also controls the artifacts storage in the relational database for archiving purposes. Active shared space also provides the mechanism of subscribing to various artifacts and publishing the availability of artifact for services and other artifacts itself. Active shared space also makes the artifact aware of the context within which the said artifact operates and allows subscribing to appropriate artifacts to support the context needs. Active shared space also provides the mechanism to trace through the various states of an artifact and facility to query the artifact data content.
    • 管理策略驱动的虚拟数据空间,用于管理工件关系并在服务之间共享工件。 策略模型用于表示业务工件,工件的共享,以及对当前工件感兴趣的其他工件的订阅,以及表示工件的各种状态。 活动的共享空间为策略模型提供支持功能,如工件生命周期管理。 活动共享空间还提供了与外部/内部服务和其他工件共享这种工件的支持。 活动共享空间还可以控制关​​系数据库中的工件存储以进行归档。 活动共享空间还提供订阅各种工件并发布服务和其他工件本身的工件可用性的机制。 活动共享空间还使得工件意识到所述工件运行的上下文,并且允许订阅适当的工件以支持上下文需要。 活动共享空间还提供了跟踪工件和工具的各种状态以查询工件数据内容的机制。