2687-0517 16 4 2023 1-69

RAR RUS 7-17 Perelygin Sergey sergey.perelygin@gmail.com St. Petersburg State University of Film and Television Gudinov Konstantin kvakg@mail.ru

St. Petersburg, Russian Federation

St. Petersburg State University of Film and Television Kuklin Sergey kuklinsv57@mail.ru

St. Petersburg, Russian Federation

International Film Festival “Message to Man” Parfenov Alexander parffenof@yandex.ru

St. Petersburg, Russian Federation

A method for evaluating the lighting parameters of digital video projectors in real operating conditions The article briefly examines modern standards regulating the measurement of lighting parameters of digital video projectors. It is pointed out that existing standards do not have the ability to take into account the settings of video projectors that are performed after factory calibration at the places of their operation. The authors proposed a method for setting and measuring the output lighting parameters of a video projector, which affect the quality of the resulting image, in a real room other than a completely dark room. Following this method, it is possible to obtain reliable values of the lighting parameters of the video projector directly in the room where it is operated, which is especially important for the multimedia video projector market. This takes into account the operating conditions and service life of the video projector, and in particular factors such as the imposition of external highlights on the illumination of the screen and the design features of the lighting and projection systems of projectors. An experiment is described to measure the luminous flux, contrast and brightness of eight video projectors for different market segments with different service life. It is concluded that the obtained values of lighting parameters are more reliable in comparison with those indicated by projector manufacturers in the specifications. 10.18721/JCSTCS.16401 681.775 digital video projector luminous flux contrast illumination calibration https://infocom.spbstu.ru/article/2023.79.1/

RAR RUS 18-27 0000-0002-8805-5887 Peter the Great St. Petersburg Polytechnic University Selin Ivan selin_ia@spbstu.ru

St. Petersburg, Russian Federation

New methods for efficient energy management of a solar vehicle on a fixed route This paper is devoted to the problem of efficient energy use on a fixed route for solar car racing. Solar cars are electric vehicles that can charge the battery while traveling using a built-in solar array. Solar car races are characterized by very long distances and prohibition of wall charging: vehicles can only be charged using solar energy. This alone creates a serious energy shortage, but coupled with the main goal of finishing in the shortest possible time, the task becomes even more complex. Thus, proper power management is the key to success. Since optimization of power management strategy is a computationally intensive process, modified route representation and use of automatic differentiation are advised to raise the performance of the optimization process. The proposed methods are implemented in the SPbPUStrat software solution, which is capable of solving the problem in a short time: this allows the strategy to be recalculated in full upon request. 10.18721/JCSTCS.16402 004.67 solar car strategy power management strategy optimization route representation https://infocom.spbstu.ru/article/2023.79.2/

RAR RUS 28-36 0000-0003-3103-7060 Peter the Great St.Petersburg Polytechnic University Loboda Vera

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

Contact resistances influence on flexible thermoelectric generator output power The calculation results of the influence of contact resistances of the metal-semiconductor interface on the output power of a flexible microthermoelectric generator is presented. The calculation method based on semiconductor theory. The contact area of the conductor (metal) and thermoelectric material (semiconductor) is characterized by a discrepancy between bulk properties and irregularities in a thin area near the interface. Different thermal and electrical carriers (phonons and electrons) encounter different resistances in this interface area. The calculations were carried out using ANSYS Workbench and Wolfram Mathematica. Output power simulation was carried out by taking into account contact electric and thermal resistances influence on the metal–semiconductor interface for six contact couples (three metals, two semiconductors). Interface contact resistances significantly reduce the output power. It was shown that contact resistances reduce the output power of the thermoelectric device by 64–70% depending on the metal type of the metal–semiconductor contact couple. The presented results of calculating interface contact resistances correspond to experimental measurements in references, which allows us to conclude that this method of calculating interface electrical and thermal contact resistances can be used in the case of microelectronic fabrication of thermoelectric devices. 10.18721/JCSTCS.16403 004.67 thermoelectric generator contact resistances simulation ANSYS output power https://infocom.spbstu.ru/article/2023.79.3/

RAR RUS 37-48 0009-0006-1822-7117 Saint Petersburg Mining University Kozhubaev Yury kozhubaev_yun@spbstu.ru

St. Petersburg, Russian Federation

0000-0003-0218-9604 Peter the Great St. Petersburg Polytechnic University Kazanin Dmitriy um-urii@rambler.ru

St. Petersburg, Russian Federation

Optimization and control system of power consumption based on virtual power plant technology In modern society, the problem of electricity is becoming more and more acute. Until now, most of the electricity has been produced from non-renewable sources: oil, gas, coal and the like. Moreover, the use of such resources leads to environmental pollution and depletion of the Earth's interior. Despite the lack and finiteness of non-renewable energy resources, we can still face excessive energy production. This problem arises due to the fact that it is impossible to accurately predict in advance the amount of electricity that the consumer will need. This, in turn, entails obtaining a significant amount of unused electricity. The use of virtual power plant technology will help to solve this problem. Nowadays, mobile technologies that allow you to solve important issues and problems from anywhere in the world are becoming increasingly popular. These portable technologies, along with the technology of a virtual power plant, will simplify the control of electricity production and costs. 10.18721/JCSTCS.16404 004.04 Virtual power plant Industry 4.0 Internet of Things energy consumption renewable energy https://infocom.spbstu.ru/article/2023.79.4/

RAR RUS 49-59 0000-0002-0224-2412 Peter the Great St. Petersburg Polytechnic University Efremov Artem Artem.Efremov@spbstu.ru

St. Petersburg, Russian Federation

Projection operator for solving generalized problems of program motions stabilization Generalization and development of the projection operator method for solving problems of stabilization of given program motions seems to be an actual direction of research in the field of synthesis of optimal control systems for nonlinear dynamic stationary objects with limited phase coordinates and controls. In this paper, we formulate generalized stabilization problems for program motions given by a program-stabilizing vector C0 and a vector of admissible program motions C. We show the derivation of a projection operator for solving the specified class of problems. For a nonlinear locally controlled difference operator, admissible controls are synthesized that stabilize program motions under restrictions on phase coordinates and controls. An operator of a dynamical system is obtained for generalized problems of stabilization of program motions with restrictions on the vectors of phase coordinates and controls. Numerical simulation of the stabilization of the given program motions of a dynamic object is carried out. As an example of a dynamic object, a mathematical model of a synchronous generator is chosen, consisting of a system of bilinear differential equations with parameters corresponding to equations in the form of V. A. Venikov. A computational experiment confirmed the theoretical results obtained in the work. 10.18721/JCSTCS.16405 681.51 projection operators stabilization of program motions dynamical systems optimization nonlinear difference operator locally admissible controls restrictions on phase coordinates and controls https://infocom.spbstu.ru/article/2023.79.5/

RAR RUS 60-69 0000-0002-7060-8826 Shariaty Faridoddin shariaty3@gmail.com Jiangsu Normal University Caiqin Han hancq@jsnu.edu.cn

Xuzhou, China

0000-0003-0726-6613 Peter the Great St. Petersburg Polytechnic University Pavlov Vitalii pavlov_va@spbstu.ru

St. Petersburg, Russian Federation

Jiangsu Normal University Duan Lingfeng duan.l0014@gmail.com

Xuzhou, China

Zavialov Sergey 0000-0001-9948-7303 Almazov National Medical Research Centre Pervunina Tatiana ptm.pervunina@yandex.ru

St. Petersburg, Russian Federation

Jiangsu Normal University Ying Wu wuying@jsnu.edu.cn

Xuzhou, China

Integrating quantitative and convolutional features to enhance the efficiency of pathology classification in CT imaging The paper proposes an approach that combines radiomic features and deep learning to enhance the accuracy of image classification obtained from lung computed tomography (CT) scans. The deep convolutional neural network ResNet18 was used to extract convolutional features from CT images. Radiomic features describing texture, shape, and intensity were combined with these convolutional features to improve the feature description of the lung CT image dataset. Using Principal Component Analysis (PCA) and feature selection methods, the most informative set of 250 features was obtained. Machine learning models, including Random Forest and Support Vector Machines (SVM), were used for classification. The SVM classifier showed the best results, achieving a classification accuracy of 0.97. The addition of genetic data allowed an improvement in classification accuracy. The study underscores the importance of combining advanced computational methods and data processing methodologies to solve image classification tasks. 10.18721/JCSTCS.16406 004.932.72 radiomics deep learning machine learning genetic data computed tomography scans https://infocom.spbstu.ru/article/2023.79.6/