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Liu Jian(Jian Liu),Fei Jingying(Jingying Fei),Lv Mingkang(Mingkang Lv) 아시아사회과학학회 2022 International Science Research Vol.2 No.3
In recent years, a large number of excellent foreign short video bloggers have been active on major social media platforms, comparing the differences between Chinese and Western cultures, introducing Chinese traditional culture and customs to followers, and becoming a new force in telling Chinese stories. This paper takes the short video blogger “Chris” and his short videos as the research object, and analyze how “foreign influencer” tells Chinese stories in the new media environment, which brings new inspiration for telling Chinese stories and spreading Chinese voices well in the new media environment.
Edge Computing Task Offloading of Internet of Vehicles Based on Improved MADDPG Algorithm
Ziyang Jin,YiJun Wang,Jingying Lv 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2
Edge computing is frequently employed in the Internet of Vehicles, although the computation and communication capabilities of roadside units with edge servers are limited. As a result, to perform distributed machine learning on resource-limited MEC systems, resources have to be allocated sensibly. This paper presents an Improved MADDPG algorithm to overcome the current IoV concerns of high delay and limited offloading utility. Firstly, we employ the MADDPG algorithm for task offloading. Secondly, the edge server aggregates the updated model and modifies the aggregation model parameters to achieve optimal policy learning. Finally, the new approach is contrasted with current reinforcement learning techniques. The simulation results show that compared with MADDPG and MAA2C algorithms, our algorithm improves offloading utility by 2% and 9%, and reduces delay by 29.6%.