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Contribution to Data Compression and Transmission Techniques: Application in the Field of Computer Science and Distance Education

机译:对数据压缩和传输技术的贡献:在计算机科学与远程教育领域的应用

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The emergence of network interconnection technology promotes collaboration and the sending of large amounts of data into the network. In fact, we are at a time when entities are forced to share their data in a collaborative working environment and mutualisation. Data exchanged through collaborative networks is constantly growing. As part of a virtual organization, as in the case of distributed networks or digital universities, actors often have to exchange large data in the form of images, sounds and videos. This plethora of large data creates slowdowns within the network and dramatically slows the flow. Data compression is a mandatory solution. This article proposes to provide a solution on compression and data transmission techniques. The compression technique consists of using a polynomial formula to compress the data to the maximum before its transmission. This makes it possible to send large amounts of data faster, to gain bandwidth and to increase the fluidity of transmissions. So the knots will be less loaded.
机译:网络互连技术的出现促进了协作和将大量数据发送到网络中。事实上,我们是在有关实体被迫在协同工作环境中分享他们的数据的时间和共同化。通过协作网络交换的数据不断增长。作为虚拟组织的一部分,如在分布式网络或数字大学的情况下,演员通常必须以图像,声音和视频的形式交换大数据。这种大量的大数据在网络内创建速度,并大大减慢了流量。数据压缩是强制性的解决方案。本文建议提供对压缩和数据传输技术的解决方案。压缩技术包括使用多项式公式将数据压缩到其传输之前的最大值。这使得可以更快地发送大量数据,以获得带宽并增加传输的流动性。所以结来将较少装载。

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