Research on the Mental Health of College Students Based on Fuzzy Clustering Algorithm

Tang, Qinghua; Zhao, Yixuan; Wei, Yujia; Jiang, Lu Juan

doi:10.1155/2021/3960559

Cited by 22 publications

(14 citation statements)

References 18 publications

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“…en, an objective function is employed to solve the weights that are the sum of squares for the distance sensitivity values to their cluster centers, expressed in (19). e objective function should be minimized and the partition of the minimum value isselected as their divided clusters [29].…”

Section: Fuzzy C-means (Fcm) Clusteringmentioning

confidence: 99%

Detection of DDoS Attack within Industrial IoT Devices Based on Clustering and Graph Structure Features

Jing

Wang

2022

Security and Communication Networks

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Network available and accessible is of great importance to the Internet of things (IoT) devices. In this study, a novel machine learning method is presented to predict the occurrence of distributed denial-of-service (DDoS) attacks. Firstly, a structure of edges and vertices within graph theory is created to simultaneously extract traffic data characteristics. Eight characteristics of traffic data are selected as input variables. Secondly, the principal component analysis (PCA) model is adopted to extract DDoS and normal communication features further. Then, DDoSs are detected by fuzzy C-means (FCM) clustering with these features. In the case study, 2000 traffic data in dataset CICIDS-2017 are used to verify the practicability of this method. The results of recall, false positive, true positive, true negative, and false negative are 100.00%, 1.05%, 68.95%, 0.00%, and 30.00%. Compared with other methods, the results demonstrate that the detecting reliability is improved, and the method has a good effect on the detection of DDoS attacks.

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Section: Fuzzy C-means (Fcm) Clusteringmentioning

confidence: 99%

Detection of DDoS Attack within Industrial IoT Devices Based on Clustering and Graph Structure Features

Jing

Wang

2022

Security and Communication Networks

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“…College students can make full use of the open laboratory of colleges and universities to implement independent experiments to improve their practical ability, deeply understand the theoretical knowledge in the course in the process of experiments, and combine theory with practice. In order to improve the overall academic level of college students, major colleges and universities across the country attach great importance to open laboratories in colleges and universities and constantly update and improve the construction of open laboratories in colleges and universities and the development of informa-tion management systems [15]. Teachers of open laboratory management in colleges and universities can realize the management of online experimental courses and integrate laboratory teaching resources through the management system.…”

Section: Literature Reviewmentioning

confidence: 99%

Open Sharing Management of Artificial Intelligence Laboratory Based on Deep Fusion of Big Data

Liang¹

2022

Wireless Communications and Mobile Computing

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In order to improve the efficiency of information management of open laboratories in colleges and universities and reduce the cost of information management of open laboratories in colleges and universities, this paper proposes the open sharing management of artificial intelligence laboratories based on the deep integration of big data. The infrastructure layer of the system transmits the information management data of the university open laboratory to the cloud platform layer. The cloud platform layer completes the data management, cloud computing, and access control and transmits the processed data to the application layer. The application layer realizes the information management of the university open laboratory according to the data fed back by the cloud platform layer. Among them, in the process of data transfer in open laboratories of colleges and universities, pyramid technology is used to realize data transfer, and the optimization calculation of particle swarm optimization algorithm is used to complete the transfer of multidimensional and complex data transmission information, so as to improve the efficiency of data transfer. The experimental results show that the system has high accuracy in transferring multidimensional and complex data in university open laboratories, the average resource utilization rate of the system is as high as 92%, the average response of the system is as fast as 8.5 ms, and the management cost is effectively reduced. Conclusion. The system designed in this paper can reduce the information management cost of open laboratories in colleges and universities.

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“…The integration of psychological education into thought and politics teaching stems from the intrinsic connection between psychology and thought [6]. Different disciplines have different professional characteristics, so it is necessary to base on the educational objectives of different majors and explore the elements of thought and politics contained in the professional knowledge system [7]. Thought and politics teaching in schools to a certain extent reflects the ideology of schools in the process of talent training and usually relies on a variety of educational tools to carry out thought and politics teaching activities in an organized and purposeful manner.…”

Section: Introductionmentioning

confidence: 99%

Thought and Politics Teaching Students’ Mental Health Impact Model Based on Fuzzy Control Algorithm

YIN

Nhung

2022

Wireless Communications and Mobile Computing

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The rapid development of modern science and technology has led to the increasing scale of production systems and the formation of large and complex systems, resulting in the increasing complexity of control objects, controllers, and control tasks and purposes. The problem of how to better play the nurturing function of professional courses and realize the combination of knowledge transfer and value leadership is addressed. Compared with traditional teaching methods, the combination of mental health knowledge and ideological and political content can effectively improve the life satisfaction of college students and thus promote the completion of teaching objectives. Based on the background of the current new social development, the values of college students are gradually tending to diversify, which brings certain difficulties to the development of thought and politics teaching in schools. In the new era, the psychological health and thought dynamics of college students are getting more and more attention from the society and schools. To establish positive and healthy “three views,” students are closely related to teaching of psychological fitness and thought and politics teaching. In this paper, we study the influence model of thought and politics teaching based on fuzzy control algorithm (FL) in order to achieve a scientific and systematic teaching method and good teaching effect. In this paper, the construction of FL-based thought and politics teaching students’ mental health influence model is studied, in order to achieve a scientific and systematic teaching method and good teaching effect. The experimental results show that the average correct rate of the endpoints corresponding to the endpoints detected by FL’s thought and politics teaching model is 76.99%, which is 42.85% higher than that of the nonlinear SISO system algorithm. Therefore, the endpoint detection algorithm of FL’s thought and politics teaching model combined with amplitude and phase information has a higher correct rate. Therefore, this paper can analyze the psychology of different groups of college students, so as to draw more accurate conclusions in the field of student psychology, and then improve the psychological health of individual college students. Therefore, the research in this paper can meet the intrinsic requirements of the psychological and ideological health development of college students, strengthen the theoretical research on the infiltration of teaching of psychological fitness into the teaching of civics, improve the teaching mode, and innovate the educational methods.

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Research on the Mental Health of College Students Based on Fuzzy Clustering Algorithm

Cited by 22 publications

References 18 publications

Detection of DDoS Attack within Industrial IoT Devices Based on Clustering and Graph Structure Features

Detection of DDoS Attack within Industrial IoT Devices Based on Clustering and Graph Structure Features

Open Sharing Management of Artificial Intelligence Laboratory Based on Deep Fusion of Big Data

Thought and Politics Teaching Students’ Mental Health Impact Model Based on Fuzzy Control Algorithm

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