The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System

Nurpeisova, Ardak; Shaushenova, Anargul; Mutalova, Zhazira; Zulpykhar, Zhandos; Ongarbayeva, Maral; Niyazbekova, Shakizada U.; Semenov, Aleksander V.; Maisigova, Leila А.

doi:10.3390/computation10080136

Cited by 10 publications

(6 citation statements)

References 52 publications

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“…The culture medium is a gel observed for cell uptake/proliferation growth. The cell culture medium consists of certain amino acids, vitamins, salts, glucose, hormones, nutritional supplements, growth carbohydrates; Supporting buffer system and osmotic pressure [15][16][17][18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Statistical analysis of the integration of additive and information technologies for the artificial cultivation of plant cells

Bogodukhova,

Britvina,

Konyukhov

et al. 2023

BIO Web Conf.

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This article discusses the prospects for the development of biopreparations as a leading direction for tissue regeneration by integrating several advanced technologies. A statistical analysis of data on the current state of plant production in the world was made, the change in the rate of destruction of organic matter with a decrease in species diversity was demonstrated. A study aimed at identifying the main tissues of isolated cells in bioprinting was also carried out, which was taken as a basis for developing an extruder for layer-by-layer cultivation of biotissues, the main technical characteristics of which are also presented in the materials of this work. Presented data confirming the practical relevance of additive technologies for the development of crop production and bioengineering are aimed at stabilizing climate change. The article is supplied with graphical materials and tables, as well as a detailed description of each stage of the research.

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Section: Resultsmentioning

confidence: 99%

Statistical analysis of the integration of additive and information technologies for the artificial cultivation of plant cells

Bogodukhova,

Britvina,

Konyukhov

et al. 2023

BIO Web Conf.

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“…The Mann-Whitney U-test was used for verification. This criterion is a statistical one for assessing the differences between two independent samples in terms of the level of any feature measured quantitatively [7,10].…”

Section: Methodsmentioning

confidence: 99%

Using mathematical statistics to optimize the process of crossovers using data center infrastructure management

Pavlyuk

Britvina

Gavrilyuk

et al. 2023

International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)

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This article will consider the impact of the latest technologies on human work. In particular, the influence of the information system on the completion time of the task of creating cable connections. A group of people of different ages was taken for statistical analysis. In the first case, the crossings were carried out without the use of software. In the second case, the group was given the opportunity to use Sunbird Data Center Infrastructure Management. During the analysis, a data model was obtained. Conclusions were drawn based on this model [8].

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“…Proctoring technology includes facial recognition technology, which belongs to the field of artificial intelligence and biometric recognition. This is a very successful application of image analysis and understanding [21]. When developing AIP, it is necessary to consider various psychological, cultural, and technological parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Development of a Proctoring System for Conducting Online Exams in Kazakhstan

et al. 2023

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The demand for online education is gradually growing. Most universities and other institutions are faced with the fact that it is almost impossible to track how honestly test takers take exams remotely. In online formats, there are many simple opportunities that allow for cheating and using the use of outside help. Online proctoring based on artificial intelligence technologies in distance education is an effective technological solution to prevent academic dishonesty. This article explores the development and implementation of an online control proctoring system using artificial intelligence technology for conducting online exams. The article discusses the proctoring systems used in Kazakhstan, compares the functional features of the selected proctoring systems, and describes the architecture of Proctor SU. A prototype of the Proctor SU proctoring system has been developed. As a pilot program, the authors used this system during an online university exam and examined the results of the test. According to the author’s examination, students have a positive attitude towards the use of Proctor SU online proctoring. The proposed proctor system includes features of face detection, face tracking, audio capture, and the active capture of system windows. Models CNN, R-CNN, and YOLOv3 were used in the development process. The YOLOv3 model processed images in real time at 45 frames per second, and CNN and R-CNN processed images in real time at 30 and 38 frames per second. The YOLOv3 model showed better results in terms of real-time face recognition. Therefore, the YOLOv3 model was implemented into the Proctor SU proctoring system.

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The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System

Cited by 10 publications

References 52 publications

Statistical analysis of the integration of additive and information technologies for the artificial cultivation of plant cells

Statistical analysis of the integration of additive and information technologies for the artificial cultivation of plant cells

Using mathematical statistics to optimize the process of crossovers using data center infrastructure management

Research on the Development of a Proctoring System for Conducting Online Exams in Kazakhstan

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