scholarly journals Application of Artificial Intelligence in Innovation Experiment Management System Engineering

Author(s):  
Wei Gao ◽  
Qiang Qi ◽  
Lan Dong ◽  
Cui Liu
2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.


Author(s):  
Grygorii Monastyrskyi ◽  
Olena Borysiak ◽  
Andrii Kotsur

The article is devoted to deepening of research the using of ecological types of transport in cities. Climate change, urbanization and increased mobility of the people are the basis for improvement of municipal transport management policy. The international experience of using of different types of transport on the basis of municipal ecology and the using of “smart” technologies is explored in the article. The diversification of transport and the increasing of popularity of ecological types of transport (trams, trains, bicycles, electric cars, etc.) are investigated. As a result, the using of ecological diversification policy in the municipal transport management system is proposed. The essence of the implementation of such policy is to approve the principles of sustainable development of the transport system, municipal ecology by promoting the ecological types of transport (bicycles, scooters, electric cars, trams, trains, etc.), taking into account the trends of artificial intelligence development and possibilities of smart specialization of the transport system. In addition, the ecological diversification policy predicts inclusion of the trends of artificial intelligence development and the possibilities of smart specialization in the transport system. The correlation assessment of the dynamic of transport using and the level of carbon dioxide emissions of transport in Ukraine were conducted. In the context of the research of features of the implementation of ecological diversification policy in the municipal transport management system, the prospects for the development of bicycle transport and bicycle tourism, the assessment of supply and demand for ecological types of transport, the development of the energy service market for ecological types of transport in the municipal transport management system were established.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012081
Author(s):  
Jianqing Deng

Abstract With the development of the era of big data and the continuous updating of computer technology, the traditional teaching is not satisfied with the current diversified educational development concept, especially for the computer operation class, computer operation has become the mainstream of the current computer experiment class.With the increasing number of computer experiments and the extensive use of computers in open laboratories, how to manage computer experiments reasonably has become an urgent problem. The function of the computer is powerful, and students have different habits of using the computer, and the entertainment function of the computer is also loved by many students. Therefore, in the process of experiment, students often play games and watch movies, which is not easy to manage. In order to solve these problems, this paper studies the computer experiment management system under the virtual environment to help teachers manage the experiment process. This paper studies the function modules of the computer experiment management system, explains the key elements of the analysis of the implementation of the experiment management system, and explains the construction scheme of the virtual experiment teaching environment, and expounds the ant colony algorithm used in the design and management of the course scheduling system. This paper also analyzes the operation and load of computer experiment management through simulation experiment research, and tests and analyzes to prove the rationality of the management system. The experimental research shows that in the daily computer experiment management system, the most commonly used is the experimental teaching, and the conventional office, accounting for 27.35 and 26.33 respectively. The highest utilization rate of the computer experiment system is the daily teaching, accounting for 53.6%.


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