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MEC ‐based latency aware optical character recognition and realtime English translation for smart cities
Author(s) -
Zhang Fangzhou
Publication year - 2020
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.168
Subject(s) - computer science , latency (audio) , cloud computing , mobile edge computing , enhanced data rates for gsm evolution , edge computing , edge device , character recognition , computation , computer network , artificial intelligence , telecommunications , operating system , algorithm , image (mathematics)
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.