• The target model package will also need to be copied to Cognos BI 10.

    目标模型包也需要被复制到CognosBI10。

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  • The only parameters to this transformation are the Web project and the target model.

    该转换唯一的参数是Web项目和目标模型。

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  • The mechanism essentially makes the specified part of the target model look like the pattern.

    该机制从本质上使得目标模型的指定部分看起来如同模式。

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  • The application model package published to the content store (i.e. the target model package).

    发布到内容存储库的应用程序模型包(即,目标模型包)。

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  • If the target model needs to be modified, the target data will need to be adjusted accordingly.

    如果需要修改目标模型,那么目标数据也需要进行相应的调整。

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  • Proposed one detection method based on target model.

    提出了一种基于小目标模型的检测方法。

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  • Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.

    点云模型渐变研究如何将一个源点云模型平滑的变化成目标点云模型。

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  • The MTF transformation engine will try to create or modify the target model to make those constraints hold.

    MTF转换引擎将尝试创建或修改目标模型,使其遵循这些约束。

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  • A filter expression is created in the warehouse target model which will use the default value (if provided).

    在仓库目标模型中创建一个过滤器表达式,这将用到默认值(如有提供)。

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  • The data is then processed to resolve conflicts and to create a common structure representing the target model.

    然后对数据进行处理,以消除冲突并创建表示目标模型的公共结构。

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  • The target model package is copied to Cognos BI 10.1 by creating an export deployment archive in Cognos BI 8.4.

    通过在CognosBI 8.4中创建一个导出部署归档文件,将目标模型包复制到Cognos BI 10.1。

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  • It is necessary to deploy the target model package to Cognos BI 10.1 whenever a change is made to the target model.

    当目标模型发生更改时,将目标模型包部署到CognosBI 10.1是很有必要的。

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  • Next, the source data is integrated and transformed to conform to the target model, possibly in multiple operations.

    接下来,对源数据进行集成并将其转换为目标模型,这可能需要多步操作来完成。

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  • When any of the source models change, data-flow specification and possibly the target model will need to be adjusted.

    当任何源模型发生了更改,可能需要对数据流规范和目标模型进行相应的调整。

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  • The MTF transformation engine then executes those rules to synchronize the target model files with the source model files.

    MTF转换引擎将随后执行这些规则来将目标模型文件与源模型文件同步。

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  • Objects created in the Database Layer namespace of the target model are automatically generated and should not be altered.

    在目标模型的DatabaseLayer命名空间中创建的对象是自动生成的,不应加以修改。

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  • This process can contribute to subsequent Attribute or data Gap Analyses in mapping data sources against target model through the defined terms.

    这个过程有助于在后面的属性或数据差异分析中通过定义的术语将数据源映射到目标模型。

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  • When reports are executed they query for the data contained in the application data repository using the target model package deployed to BI 10.1.

    执行报表时,它们使用部署到BI 10.1中的目标模型包查询包含在数据应用程序存储库中的数据。

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  • The field length analysis is an analysis of whether or not current source systems can map correctly at the field length level of our target model.

    字段长度分析是分析当前的源系统是否能在字段长度上与目标模型映射。

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  • Furthermore, Bhattacharyya distance is employed to estimate the similarity between the target model and each hypotheses of the particle filter.

    利用巴特查理亚距离描述粒子与目标颜色模型的相似性,作为粒子更新权值的有力依据。

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  • For example, if a mapping requires the existence of an object in a target model, the transformation engine will try to create it to satisfy the mapping.

    比如说,如果一个映射需要目标模型中存在一个对象,转换引擎将试图创建该对象来满足映射的需要。

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  • When creating the export specification ensure that the application model package published to the content store (i.e. the target model package) is selected.

    当创建部署规范时,确保发布到内容存储库(即,目标模型包)的应用程序模型包被选中。

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  • You can automatically merge changes in the source code with the target model or you can manually establish mappings between the source code and the target model.

    您可以将源代码中的变更与目标模型自动合并起来,或者您可以手动创建源代码与目标模型之间的映射。

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  • The key task during design time is to specify the data flow from the sources to the target — that is, how to restructure and merge source models into the target model.

    在设计的过程中,关键的任务是指定从数据源到目标的数据流,即如何重建并将源模型合并到目标模型中。

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  • Experimental results show that MSPF with target model updating can robustly track the target through the whole sequences regardless of the change of target model.

    实验结果显示,尽管目标模型存在巨大变化,带有模型更新策略的混合跟踪器能稳健的跟踪目标。

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  • This analysis determines whether or not the target model can be fulfilled with existing source data and whether or not extensive transformations may have to be performed.

    该分析确定现有的源数据是否能完成目标模型,以及是否需要执行大量的转换。

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  • Where the target model is spread across multiple tables, the data Gap Analysis must also consider data keys and key relationships to effectively link data elements together.

    如果目标模型跨多个表,数据差异分析还必须考虑数据键和键关系,以便有效地链接数据元素。

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  • The method can improve the performance of likelihood ratio verification method in mismatch conditions by incorporating robust neighborhood information for a target model.

    该方法通过引入目标模型的鲁棒近邻信息以提高在环境不匹配情况下的似然比确认性能。

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  • Once the structure of the processed data conforms to the target model, the consolidation server applies the data to the target, possibly using target-specific connectors again.

    一旦经过处理的数据的结构符合目标模型,整合服务器就将该数据应用于目标,可能需要再次使用目标特定的连接器。

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  • This paper briefly explains the concept of capability maturity model(CMM), and introduces the structure and internal relationship of the software enterprises business target model.

    在解释软件能力成熟度模型(CMM)基本内容的基础上,介绍了软件企业商业目标实现框架的结构和内部关系。

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