• At first, the architecture of models in IEC61850 is analyzed, including server, logical device, logical node, data, data-set and respective services, to explore the way and idea of modeling.

    首先,论文对IEC61850标准的模型结构进行分析,包括其服务器、逻辑设备、逻辑节点、数据、数据集及各自相关的服务,探求其建模的方法和思想。

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  • You can add more input or output columns to this data set later.

    稍后您要向该数据集添加更多的输入或者输出列。

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  • Listing 1 shows an example XML data set with a list of books.

    清单1显示了书籍列表的一个示例XML数据集。

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  • Create a data set with computed columns and parameters.

    创建具有计算列和参数的数据集。

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  • Content creators have an XML data set and a series of tasks that they need to perform.

    内容创建者拥有一个XML数据集,以及一系列需要完成的任务。

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  • These applications typically have a very large data set and display a high information density per screen.

    这些应用程序通常具有非常大的数据集,并且每屏显示的信息密度非常高。

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  • Obtain metadata about any result data set (s) produced.

    获得关于所产生的结果数据集的元数据。

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  • The data set we'll use for our classification example will focus on our fictional BMW dealership.

    我们用于分类示例的数据集所围绕的仍然是我们虚构的BMW经销店。

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  • If your data set is of a suitable size, you can have the best of both worlds.

    如果数据集的大小合适,那么就可以同时利用这两种方法的长处。

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  • This process is often applied to the complete data set in the sources — that is, without security restrictions.

    通常将这个过程应用于数据源中完整的数据集,即没有任何安全限制。

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  • The data set we'll use for our clustering example will focus on our fictional BMW dealership again.

    我们为群集示例要使用的这个数据集同样也围绕着我们虚构的BMW经销店。

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  • So the first task was to build an XML document that represented the whole data set.

    因此第一项任务是构建一个表示整个数据集的XML文档。

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  • A histogram is used to graphically summarize and display the distribution of a process data set.

    直方图以图形的方式总结和显示一个数据集的分布。

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  • You can save the performance data set for each execution and compare performance results between executions of your application.

    您可以保存您的应用程序的每次执行的性能数据集,并比较各次执行的性能结果。

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  • For example, a user may select a customer from a list of customers provided by a data set.

    例如,用户可以从一个数据集提供的客户列表中选择一个客户。

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  • This function first erases all formerly created menu items to ensure that you have the most current data set.

    这个函数首先清除之前创建的所有菜单项,以确保您拥有最新的数据集。

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  • This may significantly impact the execution time of the rule when executed on a large data set.

    在针对大数据集执行时,这会很明显地影响执行时间。

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  • For every data set in the result, an HTML list element is created and appended to the list.

    对于结果中的每个数据集,创建了HTML清单元素并添加到列表中。

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  • For example, in the objective function, the coefficients 3 and 1 are part of the problem's data set.

    举例来说,在目标函数中,系数3和1就是问题数据集的一部分。

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  • Create a data set for the enumeration values, such as the example with the severity enumeration above.

    为枚举值创建一个数据集,例如严重性枚举的范例。

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  • Next, create a data set that lists users by following these steps

    接下来,按照以下的方法来创建一个列出用户的数据集合

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  • Create another data set called "ProductLine" and define the SQL query as follows.

    创建另一个名为“ProductLine”的数据集,并将SQL查询定义如下。

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  • The Dataset parameter Binding window shows the parameters for the data set.

    DatasetParameterBinding窗口中显示了数据集合的参数。

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  • The SPU queues a DMA GET to pull a portion of the problem data set from main memory to a buffer.

    SPU对DMA GET进行排队,从而将涉及的数据集的一部分从主内存传输到一个缓冲区。

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  • If the data set is small enough to fit into available local store, you don't need a more elaborate setup.

    如果数据集足够小,本地存储就足够用了,那就不需要更细致的设置了。

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  • As the data set grows larger and the number of attributes grows larger, we can create trees that become increasingly complex.

    随着数据集的增大以及属性数量的增长,我们所创建的树就会越来越复杂。

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  • A particular contact, or requestor, usually does not need an entire data set but simply some particular filtered and structured part of it.

    特定的联系者或请求者通常不需要完整的数据集,而只是其中一些特殊的已过滤和已结构化的部分。

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  • I'd recommend setting this to 5 seconds at first and move it down to 1 second over time, depending upon your data set.

    我想建议将该阈值首先设置为5秒,随着时间的推移将其缩减为1秒,具体取决于您的数据集。

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  • The time interval can be set from a little as two minutes to up to the whole data set.

    可以设置时间间隔,小到两分钟,大到整个数据集。

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  • The time interval can be set from a little as two minutes to up to the whole data set.

    可以设置时间间隔,小到两分钟,大到整个数据集。

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