streaming data造句

• The length of the stream data can be obtained from the
  流数据的长度可以从
• Xml streamed data and rowset data cannot be mixed
  xml（流形式）数据和行集数据不能混合。
• Mrst-an efficient monitoring technology of summarization on stream data
  mrst-一种高效的流数据概要监控技术
• Tidal stream data position
  潮流数据可查表的地方
• Relational approaches are also not normally optimized to work with streaming data
  对于流数据采用关系方法通常也不是最佳办法。
• Present a system framework of intelligent dss based on click-stream data mining technology
  提出基于点击流挖掘技术的商务智能辅助决策系统框架。
• This is an ideal model for ad hoc data communication, and works well also for voice, video and other streamed data
  这对于特别的数据通信是理想模型，且还适用于语音、视频和其他流化数据。
• However, rfcomm is the better choice when you want to send and receive stream data, just like you would with a traditional serial port
  但是，如果想发送和接收流数据，则rfcomm是更好的选择，就像使用传统的串口一样。
• It also includes the part of decoder of protocol data, ip fragments reassembling, tcp stream data reassembling and http decoding
  对于捕获的协议数据根据不同的协议进行解码，预处理模块则能对ip分片进行重组、对tcp流数据还原以及htfp解码。
• Rfcomm is better when you want to send and receive stream data and when you d like to take a traditional serial port application and bluetooth-enable it
  如果想发送和接收流数据（而且想采用传统的串口应用程序，并给它加上蓝牙支持），那么rfcomm更好。
• It should accommodate input documents from a variety of sources, including xml files discovered on the web, repositories of pre-validated xml documents, streaming data sources such as stock tickers, and xml data synthesized from databases
  它还应该能适应来自各种数据源的输入文档，而这些数据源包括web上发现的xml文件，已预先验证的xml文档存储库，诸如股票行情接收机的流式数据源，以及来自数据库中的经过综合处理的xml数据。
• Here we mainly research the metheds on video acquisition and video codec, as well as video data inter-communication . in this system, we use fpga, manufatured by altera co . ltd, to acquisite the image resource precisely . also we implement high speed and complex logic design to control the whole system and pc104 interface with it . here the captured image data is stored to sdr-sdram outside fpga . then it is compressed according to jpeg2000 compression standard . the compressed image streaming data is stored in sdr-sdram
  在本设计中利用altera公司的cycloneep1c6的fpga芯片完成高清vga图像信号的精确采集,并利用其完成复杂而高速的逻辑控制及时序设计,实现了与pc104上位机接口程序设计,并将采集的数字视频信号存储在外扩存储空间sdr-sdram中;利用tidm642完成将采集到的数字图像信息按照jpeg2000压缩编码标准进行处理。
• This paper also provides some background knowledge about sip and video conference, such as the sip framework, the history of voip and video conference, etc . this paper emphasizes on the implementation of sip terminal on the windows platform, including the realization of sip stack, the capture and compression of video and audio steams, rtp transmission of stream data, the working thread of sip terminal and the optimization of video codecs
  本文在论述研究工作的同时也介绍了一些相关的背景知识如sip协议的框架、voip和可视电话的发展历史等。本文重点论述了windows平台sip多媒体终端的实现，包括sip协议栈的实现、视音频流的采集、编解码和网络传输方案、sip终端的工作流程、以及编解码器基于指令集的优化。
• On the survey of the development and current researching statement of dss, this paper present such a research idea : analyzing the customers " click-stream data and inner data of corporations intelligently, so that fulfilling the design and development of an intelligent dss in the environment of e _ business
  本文在综述决策支持系统发展及目前研究现状的基础上，提出了以客户的点击流数据为基础，并且将点击流数据和商务网站后台数据相结合，共同进行智能化分析，以实现一个电子商务环境下的智能决策支持系统设计与开发的研究思想。
• In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module . next, in the part of data preprocessing, we design a method of collecting click-stream data in the application server layer and preprocessing them with real time; in the part of data mining that is data analyzing, we research and implement an extended attribute-oriented induction algorithm which applies to data generalization analysis, and that, we also design and implement an hybrid-dimensional association rule mining algorithm for associative analysis . in the end, on the e-business web site system of jiangsu changjiang electronic group corp, we design and implement an intelligent dss ( idss ) with the help of the above algorithms
  论文首先给出了系统的整体框架体系结构设计，以及主要的功能模块介绍；接着，在数据预处理部分，设计了在应用层收集点击流数据并且对其进行实时预处理的方法；在数据挖掘即数据分析部分，研究与实现了用于数据概化分析的面向属性规约的扩展算法，以及设计并实现了用于关连分析的混合维关联规则挖掘算法；最后，在江苏长江电气集团的电子商务网站系统上，利用已分析的算法设计并实现了一个智能决策支持系统。