MEC-based latency aware optical character recognition and realtime English translation for smart cities

被引：2
|
作者：
Zhang, Fangzhou [1 ]
机构：
[1] Jilin Agr Sci & Technol Univ, Sch Foreign Languages, Jilin, Jilin, Peoples R China
来源：
INTERNET TECHNOLOGY LETTERS | 2021年 / 4卷 / 01期
关键词：
edge computing; optical character recognition; realtime translation; smart city;
D O I：
10.1002/itl2.168
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we propose the mobile edge computing based latency aware OCR and realtime English translation (MEC-Trans) for smart cities. MEC-Trans monitors the local resource status of the edge platform and the network status from the edge to the cloud in real time. Based on this, it adopts an intelligent decision mechanism driven by user experience. It offloads some computation to the edge and dynamically reduces the network transmission data amount. In this way a relatively stable quality of user experience can be guaranteed.
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页数：5
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