让我们整合自己的场景生成器。
AW平台很适合根据特定事件和场景生成虚拟空间。
AW is an appealing platform for generating virtual Spaces based on specific events and scenarios.
在清单6中，您可看到为此场景生成的JAX - RPC接口。
If you take a look at Listing 6, you'll see the generated JAX-RPC interface for this scenario.
运动目标红外图像的真实感生成一向是红外场景生成中的难点。
Realistic infrared image synthesis of moving object is the difficulty technique to produce infrared scene.
通过使用这些功能，您就能够为您希望分析的大部分问题场景生成转储文件。
Using them, you should be able to generate dumps for most problem scenarios you want to diagnose.
利用构建名字生成器使用的相同基本原理，我们可以构建场景生成器。
Taking the same basic principles we used to make the name generator, we can make what's called a scenario generator.
提出一种基于统一建模语言(uml)活动图的功能测试场景生成方法。
This paper presents a functional test scenarios generation method based on Unified Modeling Language (UML) activity diagrams.
由于任务文件需要进行手动编辑，因此您可以使用上一个场景生成的任务文件参见清单1。
Since the task file will need to be manually edited, you can use the task file generated from the previous scenario see Listing 1. Creating a simple resource monitor task file.
目标与地面背景的真实感红外图像合成是红外场景生成和实现其虚拟实时漫游的关键技术。
Realistic infrared image synthesis of targets and their background is the key techniques to produce infrared scene and realize its virtual walkthrough.
在把自然语言理解与虚拟场景生成结合起来的“文景转换”研究中，对空间概念的理解是关键。
In the "text-to-scene" research, which is an area in combination of natural language understanding and virtual scenes generating, the key is to understand the spatial concepts.
针对四元红外导引头半实物仿真任务的需要，提出基于“直接信号注入”的动态红外场景生成技术。
To satisfy the need of hardware-in-the-loop simulation of four-element infrared seeker, a method of dynamic infrared scene generation based on "direct signal injection" was proposed.
针对传统红外场景生成方法存在的问题，提出了一种基于实测数据的红外场景生成方法，对其原理进行了详细讲解。
Given the problems existing in the traditional realization of the infrared scene, this paper proposes a realization method based on the really measured data and explains its principle in detail.
对于这个场景，不能修改报告以在两种查询模式下都生成相同的输出。
For this scenario, the report cannot be altered to produce the same in both query modes.
因此，我们要在白板上，描绘一大堆东西，并使用那些我们开始的场景来生成，想象我们如何使用软按钮，逐步跟踪一个交互作用？
So, we're going to be sketching a whole bunch of it on the whiteboard, and using those scenarios that we started to generate to imagine how do we step through an interaction using soft buttons?
嵌入式系统开发人员需要一种方法来生成一些测试场景，以便验证一个设计原型或者首次样品。
Embedded systems developers need a way to generate sets of test scenarios to validate a design prototype or a first-article product.
与在前一个场景中一样，粗体文本显示的代码负责生成远程OR B请求。
As in the previous scenario, the code in bold text is responsible for generating the remote ORB requests.
对于多路径场景，优化了生成逻辑。
Logic is refined in the generation for multiple path scenarios.
想象这样一个场景：一个渲染集群在为动画生成场景。
Imagine a scenario where a rendering "farm" generates scenes in an animation.
动态api场景并不要求为数据模型中的对象生成类型接口、工厂类或实现类。
A dynamic APIs scenario does not require the generation of a typed interface, factory class, or implementation class for the objects in your data model.
为了演示如何生成ovf包以支持分发，我们给出了以下场景。
As a reference to how OVF packages can be produced in support of distribution, we present the following scenario.
使用这个软件，你可以和可用一起尝试交互设计，并快乎生成软件的视觉场景。
With MockupScreens you can experiment interactively with your clients, and quickly visualize scenarios of your application, even before the coding has started.
注意，在服务器挂起场景中，NSD/RIP是不会自动生成的。
Note that in a server hang situation, an NSD/RIP is never generated automatically.
在拥有这些文件后，生成场景的代码与生成名称的代码基本相同。
Once we have these files, the code to generate a scenario looks much the same as the code to generate names.
这意味着，用户可以仅使用DataObject接口中定义的方法类获取和设置数据对象的属性，而无需使用静态api场景中生成的API。
This means that users can only use methods defined in the DataObject interface to get and set properties of the data object instead of using APIs generated in the static APIs scenario.
RationalPerformance Tester然后打开一个浏览器，使您记录测试场景并且生成该测试。
Rational Performance Tester then opens a browser for you to record the test scenarios and generates the test.
这种方法通过一个生成Modbus命令测试场景的示例来演示。
This methodology is demonstrated through an example that generates Modbus command test scenarios.
它是把信息、图像(电脑生成的或者是云生成的)覆盖到现实场景之上的技术。
It's the overlay of (computer - or cloud-generated) information, graphics, etc onto real-world scenes.
然后使用这些插件提供的GenerateEnd - to - EndMonitorModels特性来为这个场景自动生成多个监测模型。
You then used the generate End-to-End monitor models feature provided by the plug-ins to automatically generate multiple monitor models for this scenario.
除了该场景，该框架还负责生成扩展并引用方面库的实际的AspectJ文件。
Behind the scenes, the framework takes the responsibility of producing the actual AspectJ files, which extend and reference the aspect library.
除了该场景，该框架还负责生成扩展并引用方面库的实际的AspectJ文件。
Behind the scenes, the framework takes the responsibility of producing the actual AspectJ files, which extend and reference the aspect library.
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