Advanced Multimedia Platform Based on Big Data and Artificial Intelligence Improving Cybersecurity

Massaro, Alessandro

doi:10.2139/ssrn.3623749

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…is intelligent teaching system is mainly provided by application server, database server, Web server, etc., and teachers, administrators, and students can access the system through the Internet [9,10]. Among them, the database server is mainly used to store various teaching resources, such as the personal information database in the student and teacher model, the domain knowledge base, the teaching knowledge base in the teacher model, and the learning/test history database as shown in Figure 2.…”

Section: System Topologymentioning

confidence: 99%

Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students

Xin

Zheng

2021

Mathematical Problems in Engineering

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In recent years, although the overall physical health of Chinese students has shown an upward trend, the substantial decline in student physical fitness has been basically curbed. Most of the physical health indicators of students are steadily improving, but there are still many problems that need to be vigilant. In order to solve the problem of the decline of the physical health of primary school students, it is very important to construct a teaching system based on big data and artificial intelligence to promote the physical health of primary school students. This article aims to study from the actual situation and find scientific and reasonable methods to improve the physical health of primary school students. This article uses the literature method, questionnaire survey method, mathematical statistics method, and other research methods to analyze and study the current physical condition of the interviewed students and the actual influencing factors by taking students from 5 domestic primary schools as the research object. It is concluded that more than 90% of primary school students in Haidian District, Beijing, have good physique and physical development. The development level of strength and flexibility is gradually improved, but the speed and endurance quality are on the decline, especially the endurance quality of primary school boys has declined the most. Lack of good exercise habits, insufficient exercise time and exercise efficiency, and lack of appropriate exercise volume and necessary exercise intensity are currently the most important factors affecting the physical health of primary school students. The physical problems of primary school students are not caused by a single factor, but the result of multiple factors. This article puts forward a number of suggestions for the above situation and problems to be solved urgently.

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Section: System Topologymentioning

confidence: 99%

Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students

Xin

Zheng

2021

Mathematical Problems in Engineering

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Construction and Application of iWrite Artificial Intelligence Evaluation System for College English Writing

Jian

2022

Security and Communication Networks

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The traditional English writing evaluation is an artificial way to judge, which is a relatively subjective evaluation method. Also, the artificial method has the defects of low timeliness and high error rate, which limits the interest of college students in English learning. If the content of college students’ English writing cannot be judged, it also limits their understanding of the correctness of the English language, because English writing can reflect problems such as English grammar, sentence structure, and emotional expression. Artificial intelligence (AI) technology has developed rapidly, and it can efficiently process the data of research objects. If artificial intelligence technology is combined with English writing evaluation, it can improve the timeliness and error rate of college students’ English evaluation. This is also an innovative way of judging college students’ English writing. Combining the characteristics of great learning English writing and judging criteria, this research uses artificial intelligence technology to design an efficient judging platform. It needs to use a convolutional neural network (CNN) and long-short-term memory (LSTM) neural network to extract features of grammar, sentence patterns, and emotional expressions of college students’ English writing. The research results show that CNN and LSTM methods have high feasibility and accuracy in extracting grammar, sentence patterns, and emotional expressions of college students’ English writing. The prediction error of the college students’ English writing evaluation system is also within a reasonable range. CNN and LSTM methods have high accuracy in predicting English rectangle, grammar, and emotional expression, and the largest prediction error is only 2.91%. Also, the three prediction errors are distributed within 3%.

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Advanced Multimedia Platform Based on Big Data and Artificial Intelligence Improving Cybersecurity

Cited by 2 publications

References 10 publications

Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students

Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students

Construction and Application of iWrite Artificial Intelligence Evaluation System for College English Writing

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