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## 2021 Systems of signals generating and processing in the field of on board communications

The conference “2021 Systems of signals generating and processing in the field of on board

communications” is organized with technical sponsorship of Russian (Moscow) IEEE Circuits

and Systems (CAS04) Chapter IEEE Region 8, Russian Section Chapter, MTT/ED and Institute of

Radio and Information Systems Association (IRIS), Vienna, Austria.

The conference featured invited researchers, educators, managers, and graduate students, whose

research activity, case studies or best practices, are shedding light on the theory or practice of engineering,

include modern digital transportation systems design and technical operation, radio waves propagation,

transmitting, receiving and processing signals in television and radio broadcasting devices, information

technologies in transport.

The main areas of the conference “Systems of signals generating and processing in the field of

on board communications” include modern digital transportation systems design and technical

operation, radio waves propagation, transmitting, receiving and processing signals in television and

radio broadcasting devices, information technologies in transport.

FIELD OF INTEREST:

Components, Circuits, Devices and Systems;

General Topics for Engineers;

Signal Processing and Analysis.

Reports presented at the conference are grouped in 6 sections:

1. Antennas and Radio Waves Propagation.

2. Navigation and Mathematical Algorithms of an Object Space Orientation.

3. Radiofrequency Applications.

4. Wire and Optical Communication and Control Systems.

5. Intelligent Transport Systems (ITS):

Sub-section 1: Use of digital ITS infrastructure in telematic control systems on urban passenger transport

Sub-section 2: Peculiarities of data exchange in cooperative ITS

Sub-section 3: Theoretical Aspects of Artificial Intelligence Systems Development for Transportation Engineering

Sub-section 4: Test methods of motor vehicles integrated into an intelligent transport environment

6. Digital signal processing in on-board radio systems

In this paper, the solution is proposed to the problem of synthesis of a core network for communication systems connecting information processing nodes in regional traffic control systems in air and ground transportation infrastructure distributed over a large territory, at considerable distances from each other. Results are obtained for calculation of core network parameters depending on its structure. The tasks of network structure synthesis are given. The results can be useful to developers and administrators of large network communication systems.

The paper presents algorithms for automatic detection of non-stationary periods of cardiac rhythm during professional activity. While working and subsequent rest operator passes through the phases of mobilization, stabilization, work, recovery and the rest. The amplitude and frequency of non-stationary periods of cardiac rhythm indicates the human resistance to stressful conditions. We introduce and analyze a number of algorithms for non-stationary phase extraction: the different approaches to phase preliminary detection, thresholds extraction and final phases extraction are studied experimentally.

Due to very significant differences between streams obtained from different persons and relatively small amount of data common machine learning techniques do not work well with our data. Thus, we had to develop adaptive algorithms based on domain-specific high-level properties of data and adjust parameters based on the preliminary analysis of the stream, making the algorithms adaptive and thus able to capture individual features of a person.

These algorithms are based on local extremum computation and analysis of linear regression coefficient histograms. The algorithms do not need any labeled datasets for training and could be applied to any person individually. The suggested algorithms were experimentally compared and evaluated by human experts.

The volume contains proceedings of the XIII International symposium on problems of redundancy in information and control systems.

Electrostatic Discharges, Interferences, Cables, Spacecraft, Onboard Electronics. This paper presents an original test equipment of the electrostatic discharge interferences in a spacecraft cables. Received current transformation into disturb voltage coefficients in the cable sections are used in calculation of interference levels at inputs of a spacecraft onboard radio-electronic equipment.

Polarization mode dispersion is the effect of signal broadening in a fiber with birefringent disorder. The disorder, frozen into the fiber, is characterized by the so-called vector of birefringence (VB). In a linear medium a pulse broadens as the two principal states of polarization split. It is well-known that, under the action of short-correlated disorder, naturally present in fibers, the dispersion vector (DV), characterizing the split, performs a Brownian random walk. We discuss a strategy of passive (i.e., pulse-independent) control of the DV broadening. The suggestion is to pin (compensate) periodically or quasi-periodically the integral of VB to zero. As a result of the influence of pinning, the probability distribution function of the DV becomes statistically steady in the linear case. Moreover, pinning improves confinement of the pulse in the weakly nonlinear case. The theoretical findings are confirmed by numerical analysis

An urgent problem of our time is to counteract the illegal use of civilian unmanned aerial vehicles (quadrocopter type). The problem of detecting quadrocopters is related to their low visibility, including in the electromagnetic wavelength range. As a result, it is relevant and appropriate to develop a budget device for countering such aircraft. At the initial stage to achieve this goal, we studied the General principles of control of the civil quadcopter "Xiaomi Mi Drone 4k", determined its most significant unmasking feature (electromagnetic radiation of the control channel), measured the electrical component of the electromagnetic field from its control panel in order to further calculate the signal attenuation coefficient for detecting the operator of an unmanned aerial vehicle.

In this paper it is proposed to improve performance of the automatic speech recognition by using sequential three-way decisions. At first, the largest piecewise quasi-stationary segments are detected in the speech signal. Every segment is classified using the maximum a-posteriori (MAP) method implemented with the Kullback-Leibler minimum information discrimination principle. The three-way decisions are taken for each segment using the multiple comparisons and asymptotical properties of the Kullback-Leibler divergence. If the non-commitment option is chosen for any segment, it is divided into small subparts, and the decision-making is sequentially repeated by fusing the classification results for each subpart until accept or reject options are chosen or the size of each subpart becomes relatively low. Thus, each segment is associated with a hierarchy of variable-scale subparts (granules in rough set theory). In the experimental study the proposed procedure is used in speech recognition with Russian language. It was shown that our approach makes it possible to achieve high efficiency even in the presence of high level of noise in the observed utterance.

A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.

Generalized error-locating codes are discussed. An algorithm for calculation of the upper bound of the probability of erroneous decoding for known code parameters and the input error probability is given. Based on this algorithm, an algorithm for selection of the code parameters for a specified design and input and output error probabilities is constructed. The lower bound of the probability of erroneous decoding is given. Examples of the dependence of the probability of erroneous decoding on the input error probability are given and the behavior of the obtained curves is explained.

Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability