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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%.
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李艳(Yan Li),金紫阳(Ziyang Jin),李珍(Zhen Li),蒋祎(Yi Jiang) 아시아사회과학학회 2023 International Science Research Vol.3 No.3
本文对KRT高阶动态双向教学模式及其在《卫生法学》中的应用进行了探讨、总结和归纳。研究表明,这种集高阶教学、动态教学和双向教学于一体的新型教学模式在培养学生高阶思维能力、促进自主学习、更新教学内容和提高学习兴趣等方面显示出显著的优势。然而,也存在一些需要改进的地方,如优化线上教学平台和工具的操作界面、平衡教学内容的深度和广度以满足不同专业学生的需求等。进一步优化和完善KRT教学模式对于培养学生在卫生法学领域的高阶思维能力和实践能力具有重要的意义和价值。 This article explores, summarizes and inducts the KRT advanced dynamic bidirectional teaching mode and its application in “Health Law”. The research shows that this new teaching mode, which integrates advanced teaching, dynamic teaching and bidirectional teaching, has significant advantages in cultivating students' advanced thinking ability, promoting self-directed learning, updating teaching content and improving learning interest. However, there are also some areas that need improvement, such as optimizing the operation interface of online teaching platforms and tools, balancing the depth and breadth of teaching content to meet the needs of students in different majors. Further optimizing and perfecting the KRT teaching mode is of great significance and value for cultivating students' advanced thinking ability and practical ability in the field of health law.
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Ziyue Sheng,Shang Lou,Jin Cao,Weidi Sun,Yaojia Shen,Yunhan Xu,Ziyang Ren,Wen Liu,Qian Yi,Peige Song 한국역학회 2023 Epidemiology and Health Vol.45 No.-
OBJECTIVES: This study aimed to investigate the associations of obesity phenotypes with hypertension stages, phenotypes, and transitions among middle-aged and older Chinese. METHODS: Using the 2011-2015 waves of the China Health and Retirement Longitudinal Study, we conducted a cross-sectional analysis included 9,015 subjects and a longitudinal analysis included 4,961 subjects, with 4,872 having full data on the hypertension stage and 4,784 having full data on the hypertension phenotype. Based on body mass index and waist circumstance, subjects were categorized into 4 mutually exclusive obesity phenotypes: normal weight with no central obesity (NWNCO), abnormal weight with no central obesity (AWNCO), normal weight with central obesity (NWCO), and abnormal weight with central obesity (AWCO). Hypertension stages were classified into normotension, pre-hypertension, stage 1 hypertension, and stage 2 hypertension. Hypertension phenotypes were categorized as normotension, pre-hypertension, isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic-diastolic hypertension (SDH). The association between obesity phenotypes and hypertension was estimated by logistic regression. A comparison between different sexes was conducted by testing the interaction effect of sex. RESULTS: NWCO was associated with normal→stage 2 (odds ratio [OR], 1.95; 95% confidence interval [CI], 1.11 to 3.42), maintained stage 1 (OR, 1.62; 95% CI, 1.14 to 2.29), and normal→ISH (OR, 1.39; 95% CI, 1.05 to 1.85). AWCO was associated with normal→stage 1 (OR, 1.75; 95% CI, 1.40 to 2.19), maintained stage 1 (OR, 2.77; 95% CI, 2.06 to 3.72), maintained stage 2 (OR, 2.80; 95% CI, 1.50 to 5.25), normal→ISH (OR, 1.56; 95% CI, 1.20 to 2.02), and normal→SDH (OR, 2.54; 95% CI, 1.72 to 3.75). An interaction effect of sex existed in the association between obesity phenotypes and hypertension stages. CONCLUSIONS: This study highlights the importance of various obesity phenotypes and sex differences in hypertension progression. Tailored interventions for different obesity phenotypes may be warranted in hypertension management, taking into account sex-specific differences to improve outcomes.
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