编码层负责把底层接收的数据解析成为SIP消息对象。
Syntax layer parses the data received on the base layer into the SIP message object.
XML数据解析通常是使用一个SAX风格的解析器完成的。
下面的类图说明SAML断言、安全数据解析器和控制对象之间的关系。
The following class diagram shows the relationship between the SAML assertion, security data parser, and control object.
本研究结果为大规模的蛋白质质谱数据解析提供了有价值的参考。
These results will be very helpful in the mass spectrometric data analysis of proteomic study.
在接收端实现数据广播数据解析以及重组，数据广播节目的管理。
It described how to realize the data receive, analysis, reorganization and the management of data broadcasting programs in the receiving end.
然后，添加一个数据绑定类，以便把来自url的原生数据解析为业务对象。
Then a data binding class will be added to parse the native data from URL into a business object.
最后针对目前表格识别技术的现状，在PDF表格数据解析，识别方面做了一些有益的尝试。
Last base on the current status of the form recognition technology, this paper has done some useful attempts in PDF form data parsing.
简要说明了遥感数据解析平台建设的必要性以及平台大致结构，并以实例阐述了平台数据显示部分的实现方法。
The necessity of the construction of remote sensing data parse platform and the architecture of platform, were explained. Then the method of displaying of platform data was clarified with examples.
它告诉JAX - RS自动将传送的数据解析成JAXBElement包装，所以您不必编写任何解析代码。
That tells JAX-RS to automatically parse the posted data into a JAXBElement wrapper, so you do not have to bother writing any parsing code for this.
目的：研究非负矩阵因子分解算法(NMF)用于手性药物HPLC - DAD二维数据解析的可行性及其影响因素。
Aim: to study the feasibility and influential factors for the resolution of HPLC-DAD data of chiral drugs by non-negative matrix factorization (NMF) algorithm.
由于大大压缩了传输数据量，且将二进制数据解析到内存中的对象要远比解析XML数据高效，因此它的性能得到了很大的提高。
It improves performance by dramatically compressing the size of data transferred and parsing binary data into objects in memory far more efficiently than parsing XML data.
要在不使用SDO 2.0的情况下完成相同的工作，开发人员需要理解xml解析器如何工作，并将数据解析逻辑与应用程序紧密集成。
To accomplish the same goal without using the SDO 2.0 would require the developer to understand how the XML parser works and tightly integrate the data parsing logic with the application.
在XML开发应用中，带有中文字符的XML数据解析一直都是一个难点，其主要原因是当前很多通用的XML解析器不支持中文编码。
In the application development of XML, it is difficult to parse GB code in XML. The significant reason is that some generic XML Parsers don't support GB code.
接着，需要为它提供一些用于解析的数据。
几乎每种语言都认识到为数据表示读取、解析和创建XML文档的重要性。
Almost every language (if not every language) recognizes the importance of reading, parsing, and creating XML documents for data representation.
然而，该数据的解析以及运行的结果过程应该更为动态，并且应该更受变化的业务需求的驱动。
However, the interpretation of that data and the resulting processes that run should be much more dynamic and driven by changing business needs.
如果所提供的数据不能被解析，就会返回错误。
If the data provided cannot be parsed, an error is returned.
另一方面，数据的解析并不是一个非常适合于表示层的任务。
On the other hand, the parsing of data is not a task well-suited to the presentation layer.
这就是说，命名空间增加了数据的解析和管理难度。
That said, namespaces make it a lot tougher to parse and manage the data.
在大多数情况下，XML文档到关系型数据的解析可通过串流方式完成，而无需太多内存且不管文档有多大。
In most cases, parsing XML documents to relational data can be done in a streaming fashion without requiring much memory and regardless of how big the document is.
文档API模型对XML数据进行解析以生成一个对象。
The document API model parses XML data to produce an object.
该应用程序仍需要每次在显示缓存数据前解析。
The application is still required to parse the cached data before it displays it.
语义互操作性就是正确地解析数据。
Syntactic interoperability is all about parsing data correctly.
解析事件发生数据并采取适当的措施。
这样的原因是：结构化的数据更容易解析。
There is good reason for that: It's easy to parse structured data.
在用户选择JSON按钮时解析json数据就开始了。
Parsing JSON data in the application starts when the user selects the JSON button.
清单2展示了可以解析数据的可行代码片段。
No. Listing 2 shows a working code snippet that can parse this data for you.
通过解析提要数据从页面获得项。
不需要切割、映射或者解析数据。
There is no shredding or mapping or parsing of the data needed.
或许更为常用的技术是将非python声明性语言作为数据来解析和处理。
Perhaps the more common technique is to parse and process non-Python declarative languages as data.
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