St. Petersburg State University of Telecommunications

About: St. Petersburg State University of Telecommunications is a education organization based out in Saint Petersburg, Russia. It is known for research contribution in the topics: Computer science & The Internet. The organization has 408 authors who have published 465 publications receiving 2160 citations.

Neural Network Control of the Liquid Cooling System

Abstract: Nowadays, technical equipment is becoming more complex, and powerful equipment is used to control them, which increases the heat generation. The most important tasks of a stable cooling system are to provide a wide range of operating conditions and to ensure reliable cooling. The paper discusses the issue of using neural network control in such systems.

Model of Automated Control of Telecommunication Layer of the Post-Industrial Society Cyber Environment in the Conditions of Extemal Destructive Influences

Abstract: The results of scientific research in the field of automated control of the telecommunications layer of the post-industrial society cyber environment under external destructive influences are presented. A qualimetric model proposed by the authors, reflecting complex indicators of the performance of the telecommunications layer in a complex interference environment, is given. The obtained results can be used to create software for automated control of the cyber environment telecommunications layer under external destructive influences.

The Main Features of a Multichannel Continuous Wavelet Transform Implementation on the Nvidia Jetson Single Board Computers

Abstract: This article describes the main features in the implementation of a Multichannel Continuous Wavelet Transform (MCWT) on the Nvidia Jetson Single Board Computers (SBCs) using a General-Purpose Graphical Processing Unit (GPGPU). Two MCWT implementations are considered. The first implementation of an algorithm computes CWT in time-domain using convolution. The second implementation computes CWT in frequency-domain using Fast Fourier Transform (FFT). Algorithms implemented in C++ programming language using CUDA framework. Both methods are compared with each other on different hardware with various configurations. For GPGPU hardware SBCs Nvidia Jetson Nano and Nvidia Jetson TX2 were used. Also, SBCs Raspberry Pi 2 and Pi 3 were used for comparison with GPGPUs. Implemented MCWT intended to operate in real-time for biomedical signal processing.

The Condition of Self-Oscillation in Distributed Power Supply Systems. Low-Level and High-Level Excitation Signal Modes

Abstract: Self-oscillation condition is described for distributed power supply systems composed of stable modules with large amplitude and phase stability margins. Frequency-based criterion for distributed power supply system stability is used to study stability of the «switched-mode voltage converter - filter - switched-mode voltage converter» and the «switched-mode voltage converter - switched-mode voltage converter» systems. Time response graphs are obtained for inductor currents in smoothing filters and for output voltages of master and slave switched-mode voltage converters in self-oscillation mode with the use of computer model of distributed power supply system.

Network Decentralization

Abstract: There are three interrelated concepts of development of telecommunication networks today: 5G, 6G and Network 2030. The creation of fifth-generation telecommunication networks is the first step towards a fundamental modernization of telecommunication networks towards the emergence of ultra-highly reliable networks with ultra-low delays [3]. Ultra low delays due to fundamental restrictions on the speed of propagation of light lead to decentralization of the network and create preconditions for the decentralization of the economy. If the delay is limited to a value of, for example, 1ms, taking into account the application of this value to the two-way delay and assuming the use of modern high-bandwidth systems as transmission systems, the network range for providing, for example, Tactile Internet services is limited to about 50 km [1, 2]. This means that the operator’s resources (for example, data centers) in communication networks with ultra low latency should be located, if possible, in the center of a circle with a radius of 50 km. This is the decentralization of the network. The Russian Federation will need at least 6-8 thousand data processing centers installed, including in district centers. Naturally, along with it, the economy will decentralize by reducing the digital divide between different territories, which is one of the main tasks of building the state’s digital economy. This process will already begin with the introduction of sixth generation telecommunication networks. One of the most important applications for 2030 networks is the widespread use and distribution of avatars and human holographic copies to reproduce and perform the actions of the person who controls them (telepresence). These networks should effectively reduce the digital device between territories, as well as effectively resist pandemic-like phenomena through telepresence services.