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Development and Investigation of Model Network IMT2020 with the Use of MEC and Voice Assistant Technologies

机译:模型网络IMT2020利用MEC和语音辅助技术的开发与调查

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Humanity is at a new stage in the development of information and computer technologies. The digitalization of most areas of activity creates a contradiction. On the one hand, to start the operation of the device, you must promptly enter information. Only the information entered by the user, allows the software agent to perform tasks. On the other hand, the technological diversity of modern devices requires new complex skills from the user. Consequently, the search for a solution to the problem of the quick introduction of information by a person without special and long-term preparation becomes relevant. The technology of voice input of information makes it possible to solve this problem. It underlies the work of virtual voice assistants, the use of which is constantly growing. The paper developed a simulation model using voice assistants (VA) based on software-defined (SDN) networks and mobile edge computing (MEC) technology. The analysis of the scope of voice assistants. An experimental study is given of the influence of the dependence of the execution time of processes and the total delay on the method of processing speech information of devices. The dependence of the total delay on the type of traffic and computing device for the final processing of packets'.
机译:人类在信息和计算机技术的发展中处于一个新阶段。大多数活动领域的数字化创造了一个矛盾。一方面,要启动设备的操作,您必须及时输入信息。只有用户输入的信息,允许软件代理执行任务。另一方面,现代设备的技术多样性需要来自用户的新的复杂技能。因此,在没有特殊和长期准备的情况下,对人的快速介绍信息的问题的解决成为相关。语音输入技术可以解决这个问题。它是虚拟语音助理的工作,使用它不断发展。本文使用基于软件定义(SDN)网络和移动边缘计算(MEC)技术的语音助手(VA)开发了一种仿真模型。语音助手范围的分析。给出了实验研究的影响,对设备的执行时间的依赖性和器件的处理语音信息方法的总延迟的影响。总延迟对数据包最终处理的流量和计算设备类型的依赖性。

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