Software Architecture Analysis of Intelligent Distribution and Transformation Terminal Based on Container Technology

Jiang, Yanrong; Hu, Shejiao; Wu, Lin Yi

doi:10.1088/1742-6596/1646/1/012085

Cited by 4 publications

(2 citation statements)

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“…According to the Apriori property, in the process of generating frequent item groups from candidate item groups, non-empty subsets of frequent item groups must also be frequent. In other words, for each item of the generated candidate set Ck, if the specific non-empty subset of the candidate set is not in the frequent item set L(k-1), there is no need to combine the candidate with the minimum value [28]. Compare the support threshold and delete it directly, as shown in Figure 5.…”

Section: Apriori Algorithmmentioning

confidence: 99%

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Wang

Han

Wang

2022

Security and Communication Networks

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Traditional classroom teaching analysis is mainly based on manual coding of time sampling, which has problems such as overreliance on experts, low analysis efficiency, and difficulty in large-scale services. Classroom teaching analysis based on artificial intelligence technology breaks through the predicament. With the continuous development of intelligent analysis technology, the research on physical education in colleges and universities becomes more and more meaningful. The task of physical education is to impart physical knowledge, technology, and skills to students, enhance their physical fitness, and cultivate their morality, will, and quality. It is one of the ways to implement sports goals. This article proposes how to change traditional teaching based on intelligent analysis technology. This article aims to study how to apply the emerging intelligent analysis technology to the physical education teaching process in colleges and universities; this enables students to be more personalized in the learning process, stimulates their enthusiasm for learning, and meets their basic requirements, breaking through traditional teaching methods, and making it possible to teach students in accordance with their aptitude. In the experimental analysis of this article, from the overall trend of the student evaluation data for 7 consecutive semesters, it can be found that the minimum value of the mean, median, and mode appears in the first semester of the 2016–2017 school year, and the maximum appears in the first semester of the 2019–2020 school year. The average score (mean) of students' evaluation of teaching fluctuates from 4.71 to 4.72, and the fluctuating range of the students' evaluation score (median) of the middlemost students is from 4.56 to 4.66. The results show that the intelligent analysis technology has played a stimulating effect on teachers' teaching and effectively mobilized teachers' teaching initiative. Therefore, the application of intelligent analysis technology is very necessary. Combine health education with moral education, intellectual education, physical education, aesthetic education, and labor education, and integrate it into the whole process of education, teaching, management and services, and build a health education system that is oriented to and responsible for everyone.

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Section: Apriori Algorithmmentioning

confidence: 99%

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Wang

Han

Wang

2022

Security and Communication Networks

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“…On the other hand, the services deployed on ECA require a flexible service organization to meet their needs for flexibility and rapid iteration (Zhou et al, 2021). The heterogeneous multi-cores-based computing resource supply and microservice-based service organization can meet the abovementioned requirements, hence emerging as the development direction of ECA in smart grids (Zhang et al, 2019;Jiang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Service scheduling strategy for microservice and heterogeneous multi-cores-based edge computing apparatus in smart girds with high renewable energy penetration

Hu,

Qu,

Cai

et al. 2024

Front. Energy Res.

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The microservice-based smart grid service (SGS) organization and the heterogeneous multi-cores-based computing resource supply are the development direction of edge computing in smart grid with high penetration of renewable energy sources and high market-oriented. However, their application also challenges the service schedule for edge computing apparatus (ECA), the physical carrier of edge computing. In the traditional scheduling strategy of SGS, an SGS usually corresponds to an independent application or component, and the heterogeneous multi-core computing environment is also not considered, making it difficult to cope with the above challenges. In this paper, we propose an SGS scheduling strategy for the ECA. Specifically, we first present an SGS scheduling framework of ECA and give the essential element of meeting SGS scheduling. Then, considering the deadline and importance attributes of the SGS, a microservice scheduling prioritizing module is proposed. On this basis, the inset-based method is used to allocate the microservice task to the heterogeneous multi-cores to utilize computing resources and reduce the service response time efficiently. Furthermore, we design the scheduling unit dividing module to balance the delay requirement between the service with early arrival time and the service with high importance in high concurrency scenarios. An emergency mechanism (EM) is also presented for the timely completion of urgent SGSs. Finally, the effectiveness of the proposed service scheduling strategy is verified in a typical SGS scenario in the smart distribution transformer area.

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Intelligent Screening and Mining Technology of Software Vulnerability Programs in Power Internet of Things Terminals

Jin

Liu

et al. 2023

Lecture Notes on Data Engineering and Communications Technologies

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Software Architecture Analysis of Intelligent Distribution and Transformation Terminal Based on Container Technology

Cited by 4 publications

References 0 publications

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Service scheduling strategy for microservice and heterogeneous multi-cores-based edge computing apparatus in smart girds with high renewable energy penetration

Intelligent Screening and Mining Technology of Software Vulnerability Programs in Power Internet of Things Terminals

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