2687-0517 16 2 2023 1-70

RAR RUS 7-16 Peter the Great St. Petersburg Polytechnic University Konstantinov Andrei andrue.konst@gmail.com

St. Petersburg, Russian Federation

F-6480-2013 7004013271 0000-0002-5637-1420 Peter the Great St.Petersburg Polytechnic University Lev V. lev.utkin@mail.ru

Polytechnicheskaya, 29, St.Petersburg, Russia, 195251

0000-0003-2275-1473 Peter the Great St. Petersburg Polytechnic University Kirpichenko Stanislav kirpichenko.sr@gmail.com

St. Petersburg, Russian Federation

Flexible deep forest classifier with multi-head attention A new modification of the deep forest (DF), called the attention-based deep forest (ABDF), for solving classification problems is proposed in the paper. The main idea behind the modification is to use the attention mechanism to aggregate predictions of the random forests at each level of the DF to enhance the classification performance of the DF. The attention mechanism is implemented by assigning the attention weights with trainable parameters to class probability vectors. The trainable parameters are determined by solving an optimization problem minimizing the loss function of predictions at each level of the DF. In order to reduce the number of random forests, the multi-head attention is incorporated into the DF. Numerical experiments with real data illustrate the ABDF and compare it with the original DF. 10.18721/JCSTCS.16201 004.85 machine learning classification random forest decision tree deep learning attention mechanism https://infocom.spbstu.ru/article/2023.77.1/

RAR RUS 17-28 Potekhin Vyacheslav slava.potekhin@mail.ru Peter the Great St. Petersburg Polytechnic University Alekseev Anton alekseev.ap@edu.spbstu.ru

St. Petersburg, Russian Federation

Peter the Great St. Petersburg Polytechnic University Kuklin Egor kuklin.ev@edu.spbstu.ru

St. Petersburg, Russian Federation

Peter the Great St. Petersburg Polytechnic University Khitrova Yana hitrova.yad@edu.spbstu.ru

St. Petersburg, Russian Federation

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

St. Petersburg, Russian Federation

Cloud distributed control system based on open process automation platform The article shows the relevance of using cloud technologies in the field of industrial automation of technological processes. Typical architectures of modern automated control systems, as well as new standards and approaches to the design of industrial control systems developed by international communities are analyzed. A prototype of an open cloud distributed control system based on IEC 61131 has been demonstrated. The dependences of the computing power of virtual controllers on the number of processed objects are given. The Open Process Automation initiative aims to enhance the full lifecycle benefits of industrial control systems through the use of a standards-based, open, secure, interoperable architecture and open business model. The OPAS standard based on this initiative uses a “standard of standards” approach. 10.18721/JCSTCS.16202 62-503.55 Industry 4.0 OPAS Cloud DCS Cloud computing Internet of Things https://infocom.spbstu.ru/article/2023.77.2/

RAR RUS 29-39 Bonch-Bruevich Saint Petersburg State University of Telecommunications Redrugina Nataliya redrugina.nm@sut.ru

St. Petersburg, Russian Federation

A set of simulation models of workflow elements for transactional services of infocommunication systems This article describes the development of a set of simulation models for workflow elements related to transactional services in infocommunication systems. The article presents modeling methods used to calculate, analyze and predict various indicators of the quality of infocommunication services, such as delays, service delivery time and productivity. The necessity of using this method is due to the reduction of labor costs for modeling complex systems and the evaluation of the rationality of the developed mathematical models. The article presents the results of the study in the form of a library of components for simulation modeling, which can be used to improve the quality of transactional services in the development of modern high-load infocommunication systems. The approach described in the article is an effective tool for research and optimization of the quality of transactional services. It can be applied in various areas where analysis and improvement of the performance of data processing systems are required, including for the development of integrated solutions for big data processing, cloud computing or the development of digital counterparts of infocommunication infrastructure. 10.18721/JCSTCS.16203 519.876.5 simulation modeling transactions work-flow infocommunication systems fork-join parallel processing https://infocom.spbstu.ru/article/2023.77.3/

RAR RUS 40-54 0000-0001-8594-9423 Peter the Great St. Petersburg Polytechnic University Kuptsov Vladimir kuptsov@spbstu.ru

St. Petersburg, Russian Federation

0000-0002-2882-0380 Peter the Great St. Petersburg Polytechnic University Ivanov Sergey ivanov_si@spbstu.ru

St. Petersburg, Russian Federation

Multichannel multistatic combined TSoA and TDoA positioning system based on precise analytical solution of positioning equations Exact analytical solutions of elliptic and hyperbolic equations in a multichannel multistatic positioning system are obtained. The results of modeling the Time Sum of Arrival (TSoA) and Time Difference of Arrival (TDoA) methods for estimating the object coordinates by arrival times with fluctuations are presented. Particular attention is paid to the causes of gross errors in case of problematic configurations of base stations (BS) and the position of the object. The study revealed that the advantages of the TSoA method over the TDoA method include a reduction in the area with anomalous errors and better accuracy outside the BS perimeter, and the advantage of TDoA over TSoA should include more accurate work inside the BS perimeter. Based on the identified advantages, optimization of a multichannel multistatic positioning system, which combines the advantages of TSoA and TDoA methods, is proposed. As a result of the simulation, it was found that the combined TSoA/TDoA method, based on the exact analytical solution of equations, has an order of magnitude higher accuracy in determining the object’s coordinates than the frequently used method of linearization of hyperbolic equations. Due to these advantages, the proposed algorithm is promising for remote determination of the parameters of unmanned vehicles in “smart city” technologies. 10.18721/JCSTCS.16204 621.396.96 positioning Time Difference of Arrival Time Sum of Arrival desynchronization in time of arrival optimization of a positioning system coordinate estimation combined TSoA/TDoA https://infocom.spbstu.ru/article/2023.77.4/

RAR RUS 55-70 LLC “Oil and Gas Systems” Safonov Andrey safavs@yandex.ru

Shchelkovo, Moscow region, Russian Federation

Influence of technological processes on the uncertainty of systems measu-ring liquefied natural gas energy The article shows a new measuring technology and a statistical approach to control the measured values and parameters of technological processes that reduce the uncertainty of systems measuring the amount of liquefied natural gas energy (LNG). An increase in the consumption of liquefied natural gas requires the use of measuring technologies that take into account changes in physical and chemical properties, process parameters, and other factors affecting the uncertainty of measuring systems at subzero temperatures of working fluids. A measuring technology is presented that takes into account the influence of technological processes and changes in the properties of LNG. The application of a statistical approach to the control of measured values makes it possible to reduce the influence of technology and changes in physico-chemical properties on the uncertainty of the of systems measuring mass, volume, density and energy of LNG. The developed system of metrological support increases the accuracy of measurement systems of LNG energy by 1.5–2 times. The solution is relevant for information and measurement systems for determining the amount of energy of liquefied hydrogen. 10.18721/JCSTCS.16205 681.518.3 measurement system uncertainty energy stratification reliability statistical liquefied natural gas https://infocom.spbstu.ru/article/2023.77.5/