2687-0517 Computing, Telecommunication and Control 13 4 2020 1-78
RAR RUS 7-20 Peter the Great St. Petersburg Polytechnic University Fedotov Аlexandr afedotov@spbstu.ru
St. Petersburg, Russian Federation
 Peter the Great St. Petersburg Polytechnic University Badenko Vladimir vbadenko@gmail.com
St. Petersburg, Russian Federation
 The State Hermitage Museum Prazdnikova Tatiana prazdnikova.t@gmail.com
St. Petersburg, Russian Federation
 Peter the Great St. Petersburg Polytechnic University Yadykin Vladimir v.yadikin@gmail.com
St. Petersburg, Russian Federation
 Information modeling for cultural preservation: Portico of the New Hermitage and Atlas sculptures. Part 2. Methods and algorithms This article presents the results of interaction between SPbPU and the State Hermitage in a promising direction of using the latest achievements in the field of information technology in solving problems of preserving cultural heritage, using the example of information modeling of the Portico of the New Hermitage building and Atlas sculptures based on laser scanning data. This part of the work presents the results of the development of digital technologies for solving urgent problems of preserving cultural heritage objects. One of the main symbols of St. Petersburg, the Portico of the New Hermitage building, was chosen as the object of testing the technique. The authors present the developed methodology for collecting and processing spatial data about the elements of a cultural heritage object to build an adequate digital model of the object based on appropriate digital technologies. The following results of the technique approbation are analyzed: creation of a hybrid points cloud of Portico as the basis for the formation of an information model; creation of high-precision models of Portico Atlas sculptures based on point clouds; creation of a parametric families library of the Portico individual elements; creation of the Portico informational model; creation of a finite element model of the main elements of the Portico for stress analysis. The approbation showed the robustness of the proposed method. 10.18721/JCSTCS.13401 721.021.23, 004.942 digital model BIM HBIM laser scanning cultural heritage Historical Building Information Modeling Hermitage photogrammetry https://infocom.spbstu.ru/article/2020.67.1/ 7-20.pdf
REV RUS 21-33 Санкт-Петербургский политехнический университет Петра Великого Gasanova Ilakha A. ilaha.gasanova@yandex.ru
Санкт-Петербург, Российская Федерация
 Peter the Great St. Petersburg Polytechnic University Prelovskii Dmitrii dimaprelovski@gmail.com
St. Petersburg, Russian Federation
 Peter the Great St. Petersburg Polytechnic University Yurkin Vladimir arhimondled@yandex.ru
St. Petersburg, Russian Federation
 56049610600 0000-0003-1116-7765 Peter the Great St. Petersburg Polytechnic University Drobintsev Pavel drobintsev_pd@spbstu.ru
St. Petersburg, Russian Federation
 Saint Petersburg State Pediatric Medical University Drobintseva Anna anna.drobintseva@gmail.com
St. Petersburg, Russian Federation
 Modern possibilities of using AI methods in the analysis of biomedical data Nowadays, one of the key indicators that have a great impact on the evolution of society is artificial intelligence. AI and Big Data technologies are widely used to analyze biomedical data. This article describes what artificial intelligence and Big Data are and what are the modern possibilities of using their methods and technologies. The statistics showing the growth in the use of Big Data and AI technologies in medical research are presented. The main types of artificial neural networks used in this area are considered, as well as examples of the successful use of Big Data technologies in medicine. The effectiveness of the use of special computer programs in the field of health care, which allows detecting diseases at early stages, are demonstrated. The key technological and ethical problems of introducing artificial intelligence technologies into medicine are considered, the difficulties of implementation, integration and dissemination of technologies are shown. Special attention is paid to the use of AI in the fight against the global pandemic, the Covid-19 coronavirus infection. The methods of using AI in various countries for collecting data, analyzing and then building a model of the spread and mutation of coronavirus under various scenarios of the development of the situation and the introduction of special restrictive measures, as well as predicting their effectiveness are analyzed. 10.18721/JCSTCS.13402 004.852 Big Data predicative analysis healthcare cancer detection neural networks https://infocom.spbstu.ru/article/2020.67.2/ 21-33.pdf
RAR RUS 34-43 Peter the Great St.Petersburg Polytechnic University Nikitin Aleksandr nikitin@mail.spbstu.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Peter the Great St.Petersburg Polytechnic University Khabitueva Ekaterina basilliounderground@mail.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Phase noise of a microstrip microwave oscillator with varactor frequency tuning 6–12 GHz This work presents the results of a study of the microwave oscillator’s active device biasing influence on the oscillator phase noise. The paper considers a hybrid voltage-controlled oscillator (VCO) with an octave frequency tuning (6–12 GHz), based on a low-noise SiGe-heterojunction transistor. The simulation of the VCO in the AWR Design Environment (AWR DE) allowed one to evaluate the choice of the transistor operating point influence on the oscillator phase noise. Based on the data obtained, an experimental study of the fluctuation characteristics of several samples of the hybrid microwave VCOs, differing in the operating mode of the active devices, was carried out. The results of the research carried out make it possible to determine a number of conditions (the value of the collector current, the ratio between the currents of the transistor base and the resistive divider, determining the mode of the active device), which provide the best oscillator characteristics. It is shown that the smallest average level of the phase noise power spectral density is –95 dBc/Hz at 100 kHz offset from the carrier with a minimum change in its level in the tuning range within ± 2.5 dB. 10.18721/JCSTCS.13403 621.373.52 microwaves voltage-controlled oscillator VCO phase noise fluctuation characteristics https://infocom.spbstu.ru/article/2020.67.3/ 34-43.pdf
RAR RUS 44-53 Rumyancev Ivan i.a.rumyancev@gmail.com SUB-6 GHz IP blocks for 5G transceivers in 65 nm CMOS This paper presents the development results of a vector modulator, a low-noise amplifier and a power amplifier for the 4.80–4.99 GHz. It is planned to deploy fifth-generation communication systems in this frequency band in the Russian Federation. Circuits, layouts and simulation results of the designed IP blocks are presented and compared with state-of-the-art works. All circuits are inductorless to improve bandwidth and reduce the layout area. Thus, the vector modulator area, which has the largest dimensions, is only 0.4 sq. mm. The use of a vector modulator that combines the functions of an attenuator and a phase shifter in the transceiver modules makes it possible to calibrate the amplitude-phase states to minimize the influence of the technological process parameters variation. According to the simulations results, the designed IP blocks allow implementing the transceiver for the whole sub-6 GHz band (3–5 GHz). 10.18721/JCSTCS.13404 621.396.6 vector modulator power amplifier low noise amplifier CMOS calibration 5G https://infocom.spbstu.ru/article/2020.67.4/ 44-53.pdf
RAR RUS 54-65 St. Petersburg Federal Research Center of the Russian Academy of Sciences Svistunova Aliaksandra svistunova_alexandra@bk.ru
St. Petersburg, Russian Federation
 Using the AnyLogic software product in modeling the passenger traffic of a railway station The article is devoted to the search for optimal solutions for organizing passenger service at a railway station using simulation. The AnyLogic software system was used to build a discrete-event model and implement the procedure for modeling passenger traffic. To implement the task, a uniform distribution of passenger traffic was chosen. Many stages of passenger service have been implemented, such as entering the railway station, checking passengers through a metal detector, purchasing a ticket, using storage cells, as well as a café. As an additional service for passengers, a system of X-ray television introscopes has been used. All of these structures were used to distribute people around the railway station and to assess passenger traffic at the station. The study included tests to detect “bottlenecks” in the system of departure and arrival of passengers. 10.18721/JCSTCS.13405 004.94 logistics railway station passenger traffic simulation AnyLogic service process railway transportation https://infocom.spbstu.ru/article/2020.67.5/ 54-65.pdf
REV RUS 66-77 Saint-Petersburg Mining University Masko Olga olgamasko.17@gmail.com
St. Petersburg, Russian Federation
 Saint-Petersburg Mining University Gorlenkov Denis denis.gorlenkov@gmail.com
St. Petersburg, Russian Federation
 Аnalysis of the state of automation of material flow control in silicon production The problem of material flow control has a key significance in the silicon production since the proportional composition of furnace-charges (specific gravity, taking into account moisture) and current state of the furnace (slagging and etc.) essentially affect the yield and quality of the finished product, and the efficiency of the technological process as a whole. The relevance of the topic lies in the need to modernize and increase the level of transparency of production processes in the silicon industry. In this analytical review, the following tasks have been solved: the suitability of using automated material flow control systems in the silicon production has been proved; the bottlenecks of the process in terms of saving resources have been identified; the functionality of the automated material flows control system has been determined by means of examples of similar production; the method of control of emissions of valuable components has been put forward; the functional structure of the automated control system of the highest production level for the company “Silarus” has been proposed. This article examines the state of automated material control systems in the silicon production. The reasons for the introduction of such systems have been substantiated by the example of ferroalloy production. The general principles of the organization of automated systems of the factory operation of the largest foreign silicon enterprises, and their role in the accounting and management of material flows have been determined. A method for controlling the quality of microsilica capture has been proposed. 10.18721/JCSTCS.13406 004.94 metallurgical silicon ore-smelting furnace material flows control system material balance carbothermic reduction MES system microsilica https://infocom.spbstu.ru/article/2020.67.6/ 66-77.pdf