AN ALGORITHM FOR IMAGE RECOGNITION AND ANALYSIS USING NEURAL INFORMATION TECHNOLOGIES

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.

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APPLICATION OF MODERN INFORMATION TECHNOLOGIES FOR THE ORGANIZATION OF TRADE ON THE INTERNET

Management of Development of Complex Systems ◽

10.32347/2412-9933.2020.41.163-168 ◽

2020 ◽

Vol 0 (41) ◽

pp. 163-168

Author(s):

Dmytro Hnatchenko ◽

Tetiana Hnatchenko ◽

Vitalii Maliar

Keyword(s):

Information Technologies ◽

The Internet ◽

Modern Information

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MANAGEMENT OF THE SUCCESS OF STUDENT’S LEARNING BASED ON THE MARKOV MODEL

Informatics and Education ◽

10.32517/0234-0453-2018-33-10-4-11 ◽

2018 ◽

pp. 4-11

Author(s):

M. V. Noskov ◽

M. V. Somova ◽

I. M. Fedotova

Keyword(s):

Information System ◽

Markov Process ◽

Continuous Time ◽

Information Technologies ◽

Educational Process ◽

Automated Information System ◽

The Subject ◽

The University ◽

Independent Work ◽

Near Future

The article proposes a model for forecasting the success of student’s learning. The model is a Markov process with continuous time, such as the process of “death and reproduction”. As the parameters of the process, the intensities of the processes of obtaining and assimilating information are offered, and the intensity of the process of assimilating information takes into account the attitude of the student to the subject being studied. As a result of applying the model, it is possible for each student to determine the probability of a given formation of ownership of the material being studied in the near future. Thus, in the presence of an automated information system of the university, the implementation of the model is an element of the decision support system by all participants in the educational process. The examples given in the article are the results of an experiment conducted at the Institute of Space and Information Technologies of Siberian Federal University under conditions of blended learning, that is, under conditions when classroom work is accompanied by independent work with electronic resources.

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CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

Informatics in school ◽

10.32517/2221-1993-2020-19-4-3-10 ◽

2020 ◽

pp. 3-10

Author(s):

I. V. Levchenko

Keyword(s):

Artificial Intelligence ◽

General Education ◽

Extracurricular Activities ◽

Information Technologies ◽

Learning Experience ◽

9Th Grade ◽

Modern Information ◽

Further Development ◽

Form Variant ◽

Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

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