Data Bottleneck
- 网络数据瓶颈
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Research on the solution of data transmission bottleneck nodes in WSN
WSN中数据传输瓶颈问题解决方案研究
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Analysis of Desk-top PC data transmission bottleneck PC SOLUTIONS Desktop Product
桌面PC数据传输瓶颈分析
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With the surveying technology entering digital times , the quality control of foundational geographic data becomes bottleneck in the link of the geographic industry .
随着测绘全面进入数字时代,基础地理信息数据产品的质量控制已成为地理信息产业链中的瓶颈。
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At the same time , optical fiber communication module is studied and devised , which solves the data transmission bottleneck and implements high-speed and real-time transmission .
同时,还研究并设计了一套光纤通信模块,解决了数据传输瓶颈问题,实现了数据的高速实时传输。
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The system has successfully solved the data input bottleneck by using B / S model , not only reduces the load for system maintenance , but also improves work efficiency . In a word , the system boosts the level of the real estate equipment management .
通过采用B/S模式,该系统有效地解决了数据录入的瓶颈问题,减少了系统维护的工作量,提高了工作效率,提升了房建设备的管理水平。
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The P2P technology alleviates the data communication bottleneck and allows easy deployment and free join-in and retreat-from of WSNs , improving the WSN scalability . It also hides the heterogeneity of the underlying networks and provides multiple access to the users .
采用P2P技术,解决了大数据量的通信瓶颈,传感器网络亦可自由加入、变更或退出,方便部署,网络可扩展性好,同时屏蔽底层网络差异及多种接入方式,为用户提供多个访问入口。
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Fingerprint algorithm is currently using fingerprint location , because occupying large system resources is always the data de-duplication technology bottleneck .
目前利用指纹算法实现指纹定位,占有系统资源大始终是重复数据删除技术应用的瓶颈。
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Geographical data sharing is the bottleneck of large GIS applications .
数据共享一直是大型GIS应用的瓶颈问题。
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As the disk data access itself performance bottleneck , the database management system performance was very limited .
由于磁盘数据访问本身的性能瓶颈,数据库管理系统的性能提升受到了很大的限制。
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The efficiency problem of Data Mining has been bottleneck to make the roughly Data Mining Technical development .
数据挖掘的效率问题一直都是制约数据挖掘技术发展的瓶颈。
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The personalized query of heterogeneous data has become the bottleneck problem of data sharing .
异构分布数据的个性化查询成了信息共享的瓶颈问题。
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While the web-based information integration is the key direction of architectural information integration , the different software platform and data type become the bottleneck of the development .
利用web实现建筑业信息集成是建筑业信息化的发展方向,而平台的不统一性和数据的异构性是信息集成化发展的瓶颈。
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Currently the gathering , update and usage of high quality and up-to-date urban spatial data have become the bottleneck in the construction of Digital Guangzhou .
高质量、强现势性的城市空间数据的获取、更新和使用问题已成为当前数字广州建设中的瓶颈。
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With rapid development of modern science and technology , the amount of information is growing exponentially . However , processing mass data are becoming the bottleneck for people to get valid information .
近代科技高速发展,信息量正在呈指数级增长,有效处理海量数据是用户获得有效信息的瓶颈。
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The data acquisition is the bottleneck of the design of the real-time and high speed CCD camera . Serial communication is more convenient to use , and it is used widely .
CCD相机的数据采集是设计实时高分辨率CCD摄像机的瓶颈,串口采集具有结构简单的特点因此被广泛应用。
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Net RAID performance is greatly improved with the separation of command and data , but system bottleneck is transferred from server to the network interface of Net RAID too .
网络磁盘阵列通过实行命令与数据的分离极大地提高了系统的吞吐能力和服务器的平均响应速度,但系统瓶颈也随之从服务器转移到了网络磁盘阵列的网络接口上。
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It is pointed out that problems such as nonlinearity , skewed data distribution , labeling bottleneck , hierarchical categorization , scalability of algorithms and categorization of Web pages are the key problems to the study of text categorization . Possible solutions to these problems are also discussed respectively .
认为非线性、数据集偏斜、标注瓶颈、多层分类、算法的扩展性及Web页分类等问题是目前文本分类研究的关键问题,并讨论了这些问题可能采取的方法。
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But it is very difficulty to process such abundance and disorder data artificially . The quality of data is becoming the bottleneck for the data application and data mining .
但是面对数量巨大而零乱的数据人工处理是非常困难的,数据质量问题成为制约数据应用和数据挖掘的瓶颈之一。
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Through the advantages of GPU ( Graphic Processing Unit ) in graphics processing , the paper improves SIFT algorithm , efficiency of UAV data automatic registration and solves the problem of mass UAV data processing bottleneck .
并通过GPU(GraphicProcessingUnit)在图形处理方面的优势,改进彩色SIFT算法,提高无人机图像自动配准效率,解决海量的无人机任务数据处理的瓶颈问题。