KHPIWEEK2022: 2022 IEEE 3RD KHPI WEEK ON ADVANCED TECHNOLOGY
PROGRAM FOR WEDNESDAY, OCTOBER 5TH
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09:00-13:00 Session 6A

Section 3. Power & Energy Systems and Distributed Generation

https://us02web.zoom.us/my/khpiweek2022.1

Access code: KhPIWeek

09:00
Stochastic Correlation Analysis of the Transformer Oil Indicators in 330 kV Autotransformers

ABSTRACT. The paper presents the results of an analysis of the closeness of stochastic relationships between the indicators of transformer oils in 330 kV autotransformers. In contrast to most similar studies, this paper analysed not only linear, but also non-linear relationship between the indicators. The values of pair correlation coefficients, as well as direct and inverse correlation relations for 8 indicators of oil from 49 autotransformers of 330 kV voltage were analysed. The analysis revealed that the most significant stochastic relationship is found between the indicators characterizing oil oxidation. The obtained results will be used for development of models for early diagnosis of transformer oils.

09:15
Comparative Analysis of New Methods for Defect Type Recognition by Dissolved Gas Analysis

ABSTRACT. The article deals with the authors' most recent methods of defect type recognition based on the results of dissolved gas analysis. The analysis of diagnostic criteria used by these methods for defect type recognition is performed. The results of comparative analysis of reliability of defect recognition of different types with the considered methods are given. It is found that recognition reliability for all analysed methods is approximately at the same level, but there are differences in recognition reliability of different methods in relation to defects of different types.

09:30
FEATURES OF THE FORMATION OF THE INNOVATION ECOSYSTEM OF THE ENERGY SECTOR OF UKRAINE

ABSTRACT. Abstract—This article is devoted to the study of the Ukrainian energy sector in the context of global changes. The analysis of Ukraine's energy sector development reveals its low capacity to respond quickly to technological challenges of global development in the energy sphere. The creation of innovative ecosystems and their sustainable energy development are especially important. The systemic characteristics of Ukraine's energy sector indicate the lowest level of its eco-innovation system. The obtained analytical data were used for the integral estimation of the functioning of the eco-innovation system of the Ukrainian energy sector economy. This made it possible to assess the effectiveness of interaction between the main stakeholders in this sector of the economy. The results of operation of the innovative economy of the energy sector allow assertions about occurrence of systemic risks in ensuring energy security of Ukraine.

09:45
Dynamic reactive power compensation of autonomous generator set

ABSTRACT. The article discusses the starting and loading process of an asynchronous electric motor from an autonomous generator set with simultaneous compensation of the generated reactive power by using a capacitor unit. The load reactive power measurement and the capacitors shockless switching of each phase is carried out during one period of alternating current, which improves the transient process parameters and the gen-erated electricity quality.

10:00
Electric Field Disturbance Near Water Trees In XLPE Insulation of Power Cables and Self-carrying Insulated Wires at Non-Sinusoidal Voltages and Currents

ABSTRACT. The features of electric field disturbance in cross- linked polyethylene (XLPE) insulation of power cables and self- carrying insulated wires (SIW) is studied, taking into account water microinclusions and microtrees that appear in such insulation during manufacture and operation. It is substantiated that the appearance of non-sinusoidal voltages and currents in power transmission lines using power cables and SIW with solid XLPE insulation causes an increase in electro-physical factors aimed at increasing the pulsating electromechanical pressure on the surface of solid XLPE insulation by liquid conductive microinclusions and tree branches and an increase in over time, their sizes along the strength of the existing electric field (EF). The paper defines the patterns of change over time in the magnitude of the electric field stress, stressed volume and the maximum pressure in the XLPE insulation and the additional impact on such patterns of higher harmonic components of electrical voltages and currents during non-sinusoidal processes in such insulation. It is indicated that such electro-physical effects on polymer insulation lead to an increase in the intensity of both threshold mechanisms and stochastic ones of destruction of the insulation microstructure. Thereby it is required the development of additional regulations for standard conditions for manufacture and operation of the XLPE power cables and self-carrying insulated wires.

10:15
Estimation of electrical losses in the distribution network based on nodal electrical load forecasts

ABSTRACT. When forecasting losses, time series methods, autoregressive models, as well as classical artificial neural networks and support vector methods are widely used. But these approaches do not take into account the topology of the network, when it changes, anomalous emissions appear in the time series of losses, which complicate the construction of an adequate model and reduce the accuracy of forecasting. To obtain quality results, it is necessary to calculate losses based on the forecast of node loads, taking into account the mode parameters (network topology, parameters of passive network elements and generators). An important condition for forecasting node loads is taking into account the connections between nodes. According to the results of the study, the lowest error rates were achieved by calculating losses using forecasts of node load by separate neural networks.

10:30
Analysis of operating conditions for composite transmission towers in Ukrainian electricity networks

ABSTRACT. The experience of introduction and operation of composite materials transmission towers in power systems of different countries of the world is analysed. The basic characteristics of composite transmission towers, their advantages and disadvantages in relation to overhead transmission line towers made of other materials are considered. The prospects of using the composite transmission towers in the energy system of Ukraine have been analysed. The economic criterion for estimation of efficiency of application of composite transmission towers for electric networks that takes into account expenses for introduction and operation of transmission towers for overhead power lines in the conditions of electric power market is developed.

10:45
Features Analysis of Relay Protection Systems Operation for Generating Stations in Ukraine

ABSTRACT. The modern relay protection systems structure for generating stations is considered, basically the requirements for their functioning are formulated. Features of the relay protection systems functioning for generating stations in the world and in Ukraine are analyzed. The main prospects for increasing the efficiency of the relay protection systems functioning for generating stations in Ukraine are identified.

11:00
Analysis of the Impact of Wind Power Plants on Electric Networks Operation Modes

ABSTRACT. Development features of wind energy in the world and in Ukraine are analyzed. The main advantages and development prospects for this industry are identified. The wind power plants main characteristics as electric networks elements are con-sidered and the need to study their influence on the electric net-works modes is justified. An analysis of the established electric networks operation modes, electricity quality indicators and the static stability margin after connecting wind plant was carried out.

11:15
Modeling, Simulation and Simultaneous Tuning Employing Genetic Algorithm in Power System with Power System Stabilizer with TCSC Controller

ABSTRACT. The dynamic stability of power systems has been the subject of intensive research and development in recent years. The controller's goal is to improve the power system's steadiness and its ability to react to changing conditions. An inexpensive method of reducing the frequency and amplitude of the oscillations is to install feedback controllers on the generators, the supplementary signal would then be introduced into the voltage reference input of the automatic voltage regulator. A PSS is what you get when you put together these parts. In this paper, we model and simulate the implementation of a flexible ac transmission system (FACTS) based controller for a power system stabiliser (PSS). We model the power grid in MATLAB/SIMULINK and implement the proposed controllers to simulate the behavior of a single machine linked to an infinite number of buses. With the use of optimization methods, a controller based on both the PSS and the TCSC is created concurrently to prevent unwanted interactions.

11:30
Analysis of Created Electrical Distribution Field Model of Polymer Bushing Insulator

ABSTRACT. This research work is devoted to modeling the electric field of a polymer-bushing insulator in order to identify stress concentration points and eliminate them in order to optimize the electric field and increase the electrical strength of the insulator.

11:45
Fruit Fly Optimization Algorithm Tuned 2DOFPID Controller for Frequency Regulation of Dual Area Power System with AC-DC Lines

ABSTRACT. In this paper, an attempt has been made to implement the recent soft computing approach of fruit fly optimization algorithm (FFOA) based two-degree-of-freedom PID (2DOFPID) for the study of load frequency control (LFC). Hydro-Thermal units incorporated dual area realistic system (HTDARS) are chosen as investigative models and analysis is carried out by laying area-1 with 10% step load disturbance (10%SLD). Fine-tuning of 2DOFPID parameters is undergone with respective to the integral time square error (ITSE) objective function. However, the sovereignty of the presented FFOA soft computing approach is revealed with other mechanisms that are available in the literature. Further, the HVDC line has been laid with an AC line to get the system dynamical performance enhancement. Finally, HTDARS is subjugated with different loadings to test the robustness of 2DOFPID based on the FFOA technique.

12:00
3DOFPID Controller Tuned with Donkey and Smuggler Optimization Algorithm for LFC of Interconnected Power System with Communication Time Delays

ABSTRACT. In this paper, 3-degree-of-freedom PID (3DOFPID) optimized with the newest searching technique of donkey and smuggler optimization algorithm (DSOA) is designed for the stability of two-area thermal-hydro (TATH) system. The entire analysis on TATH system is carried out subjected to the perturbation in step load (SLP) of 10% on area-1. The realistic constraint of communication time delays (CTDs) is considered with TATH system. Efficacy of 3DOFPID is showcased with FOPID and 2DOFPID optimized with DSOA subjected to integral time square error (ITSE) function. The impact of CTDs is exhibited in this paper by analyzing the dynamic behavior of TATH system without and with considering the CTDs.

12:15
Redox Flow Battery and TCSC-based Territory Control Mechanism for LFC of Dual Area Reheat Hydro-Thermal Power System

ABSTRACT. In this paper, Tilt-Integral-Derivative with filter (TIDF) is designed for load frequency control (LFC) of dual area realistic hydro-thermal (DARHT) system. For more practical analysis, a reheat-type turbine structure is considered for a thermal unit. The parameters of TIDF are found optimally using a new evolutionary method known as the donkey and smuggler optimization algorithm (DSOA). However, optimization of TIDF using DSOA is carried out by minimizing the integral time absolute error (ITAE) index. Obtained simulation results demonstrate the sovereignty of the presented controller over PIDD and PID performance. Further, the territorial strategy of redox flow battery (RFB) and Thyristor controlled series compensator (TCSC) devices are employed with the DARHT system to acquire performance enhancement. At last, sensitivity analysis against a high range of load variations is conducted to validate the robustness of the presented control strategy

12:30
Impact of Battery Energy Storage Systems with Power Electronic Interface at the Grid Connection Point

ABSTRACT. The electrical energy system has to manage an increasing share of renewable energy sources while conventional power plants will be shut down soon. New technologies are necessary to secure the ancillary services and offer flexibility. Battery energy storage systems (BESS) can react very fast, they are a good option to support power system stability. However, detailed overall system simulations are necessary to identify the optimal design and operation in the power system, converter and battery. This paper examines system aspects of battery energy storage systems BESS consist of a high power off-grid converter fed by a battery. For this investigation, a converter being controlled as a virtual synchronous machine is connected to a grid and typical scenarios are simulated which permits to determine operational parameters and the achieved effect on grid stabilisation.

12:45
Prospects of Using Prosumers to Analyze the Potential of Demand Management

ABSTRACT. Nowadays, the most developed countries are rapidly increasing the volume of electricity production based on renewable energy sources, which primarily includes an increase in the share of generation at solar and wind power plants. An increase in the share of their generation leads to problems with maintaining the balance of generation and load. The reason for this is the stochastic nature of the generation of solar and wind power stations. There are a significant number of possibilities for compensating this problem: maintaining the balance due to existing traditional power plants with a high rate of power change, installing energy storage at generation sites, turning off part of the generation capacity from renewable energy sources, selling or buying energy in neighboring countries, using demand management . This article is about demand management, namely using the concept of prosumers with this toll. Prosumers, as participants in processes in electric power systems, are able to function in modern traditional electric systems as well, provided they receive additional opportunities for market operations, but the advantages of Smart Grid greatly increase their efficiency.

09:00-13:00 Session 6B

Section 6. Computational Intelligence

https://us02web.zoom.us/my/khpiweek2022.2

Access code: KhPIWeek

09:00
Relative navigation for vehicle formation movement

ABSTRACT. Today a cooperation operation of vehicles has many applications in different types sectors of the economy. The rapid development of wireless digital data transferring equipment makes possible accurate measuring of length of the communication data link. Cooperative operation of vehicles is supported by advanced wireless data transferring technologies that can include range measuring between transmitter and receivers. In this case, ranges between different vehicles can be measured. Available ranges in the system can be used as input data for relative navigation for vehicle formation movement. In the paper we study perils for the application of relative navigation in the horizontal plane and 3D space. Also, regions of the required amount of input data for navigation equations solution have been estimated. An example of road traffic has been used to estimate exact vehicles locations. In numerical application, 15 ranges between six vehicles are used to estimate vehicles coordinates in the horizontal plane. The solution has been obtained in a local reference frame which is rotated around the reference vehicle at a particular angle. Obtained results indicate the practical application of relative navigation methods in a modern digital communication network for vehicle formation movement.

09:15
Modeling of air traffic losses caused by war in Ukraine

ABSTRACT. The air transport system uses a wide network of flight routes to perform connections between two airports over the globe. Russian military invasion of Ukraine in 2022 caused a close significant part of airspace for civil aviation use which includes Ukrainian, Belarusian, and Russian airspaces. In addition, airspace of Afghanistan, Iraq, Syria, Pakistan, and Yemen has serious restrictions on its use. Simultaneously closed airspaces in the Eurasian region affect global air traffic system. Results of modeling air traffic losses based on canceled flights for direct connections with Ukrainian airports are studied in the paper. The surveillance database of air traffic To and From Ukrainian airports has been used to detect scheduled flights which are repeated weekly. All non-repeated flights during the two months have been referred to as non-scheduled flights. Normal probability density function has been used for modeling non-scheduled flights during the time Ukrainian airspace has been closed. Cumulated losses for each day of airspace closed has been estimated for the number of flights, total flights length, and losses in seat number which have not been provided. Also, losses distribution for each affected airline has been estimated.

09:30
Development of a PSO Modification with Varying Cognitive Term

ABSTRACT. A new modification of particle swarm optimization (PSO) was developed in the work. It involves changing the cognitive term of a particle movement. The frequency of such changing through iterations execution is considered as an additional parameter to tune. A reasonable range of the parameter was stated in the work. A comparative study supported the superiority of the developed PSO modification. In addition, its mature performance showed the efficiency of the algorithm iterations number increasing.

09:45
Investigation of an Influence of a Ratio „Swarm Size – Iterations Number” on Particle Swarm Optimization Performance

ABSTRACT. Particle swarm optimization (PSO) performance is greatly influenced by the size of a swarm and the number of iterations. In order to define the reasonable ratio „swarm size – iteration number” in PSO four well-known benchmark functions were used during poor calculation resources. Multiplication of swarm size and iterations number was used as the calculation resources indicator. It was found, that an application of the swarms, which include up to 50 particles, is reasonable for poor calculation resources

10:00
An Improved Indicator of Asymmetry in the Coronal Body Plane

ABSTRACT. Objectives. The research aimed to increase validity of the indicators of asymmetry in the coronal body plane concerning a scoliosis about first grade pupils. Methods. Thirty-four pupils of six-seven years old (eighteen boys and sixteen girls) were randomly assigned in equal shares into experimental and control groups. Besides the standard physical education lessons, pupils of the experimental group had physical rehabilitation program specifically designed to prevent and reduce the asymmetry of a posture. From the very beginning and just before ending of the academic year, pupils were tested on the asymmetry of a spine column in the coronal plane. Results. The improved indicator was determined as a half sum of a magnitude of differences of the upper sides of Moshkov rhombus and a magnitude of difference of the lower sides. Conclusions. The indicator of a body asymmetry in the coronal plane, proposed in this work, which took into account the shape of the whole spine, made it possible to achieve consequently stronger significance (p=0.02) compared with a generally accepted indicator of the curvature of the neck area of the spine (p=0.05), which indicated significant improvement of the test validity.

10:15
Integrated Software for Numerical Calculation of Active Magnetic Bearings Force Characteristics with Data Accumulation for Various Parameters

ABSTRACT. The paper proposes a technique and a software tool for calculating the force characteristics of a radial active magnetic bearing with an eight-pole stator with a known control law. It is based on the application of the finite element method implemented in a software package for a general technical analysis of physical processes. The procedure for constructing a computational model, electromagnetic analysis, and displaying graphical and numerical results is implemented in the form of a program code in a parametric programming language of the software package itself. The main program created in C++ is a software integrated with it. It performs an interaction between the user and the software package by setting the bearing parameters, the control law and the initial data of a variant parametric analysis of magnetic forces depending on the position of the rotor in active magnetic bearings and control signals. The active magnetic bearing control law is control signals (control voltages) that are applied to electromagnet windings. Their values depend on the current position of the supporting sections of the rotor and, as an option, the instantaneous values of currents in circuits. All specified data are entered into the code for the software package prepared in advance and stored in the main program. After that, an analysis in the complex is launched in a hidden batch mode. The magnetic forces are calculated from the Maxwell tension tensor in a given cloud of points of the rotor position. The force characteristics are dependences of the restoring magnetic forces in the bearing depending on the displacement of the supporting sections of the rotor in two radial directions. They are also rendered in the main program. For the analyzed design variants of active magnetic bearings and control laws, storage in a database is provided with the possibility of subsequent download and display. The results of computational studies to determine the dependences of magnetic forces on rotor displacements for the design of an active magnetic bearing used in an experimental scale model of a turbocompressor of a gas compressor unit with active magnetic bearings are presented. Verification of the integrated software tool was performed by comparing the calculated and experimental data.

10:30
Analysis of color image compression by BPG coder

ABSTRACT. Lossy image compression is a popular way to get higher compression ratio, it also has several peculiarities if one deals with compressing images corrupted by noise. First, a specific noise filtering effect is observed. Second, optimal operational point (OOP) might exist where quality of a compressed image is closer to the corresponding noise-free image according to a chosen quality metric. In this case, it is worth compressing this image in OOP area. These peculiarities have been earlier mainly studied for grayscale images. In this paper, we analyze compression of color images corrupted by additive white Gaussian noise using better portable graphics (BPG) encoder in the cases of different chroma subsampling. Based on simulation results obtained for a set of color images, the initial recommendations on encoder parameter setting are given.

10:45
Topological Оptimization of the Double-Lap Adhesive Joint

ABSTRACT. The problem of optimal design of a symmetrical double-lap adhesive joint is considered. It is assumed that the main plate has a constant thickness, while the thickness of the patchs can vary along the length of the joint. The optimization problem is to find the optimal length of the joint and the optimal profile of the patches, which provide a minimum mass of the structure in the presence of strength constraints. The classical Goland–Reissner model was used to describe the stress state of the joint. The corresponding system of differential equations with variable coefficients is solved using the finite difference method. For the numerical solution of the optimization problem, a genetic optimization algorithm was used. One model problem are solved.

11:00
Investigation of the Dynamic Filters’ Characteristics for the Analysis of Random Signals During Data Transmission

ABSTRACT. The paper analyzes methods for optimizing the parameters of the distribution function of the dynamic filters’ characteristics. Such methods are used in the spectral analysis of random signals during data transmission. A feature of the work is the proposed functional, which is the starting point for solving the problem of optimizing the parameters of the distribution function of the characteristics of narrow-band dynamic filters for the spectral analysis of ergodic random signals using the correlation-filter method. Three problems of optimizing the parameters of the distribution function of the characteristics of narrow-band dynamic filters are considered and methods for their solution are proposed. It is shown that the first two optimization problems have only an asymptotic solution, which significantly limits their practical application. A simplified problem and a method for optimizing the parameters of the distribution function of the characteristics of narrow-band dynamic filters are proposed. The results of solving the optimization problem obtained by the Levenberg-Marquardt method using a software package for mathematical calculations are presented. Promising methods for solving such a problem are neural network, genetic and other intelligent algorithms for solving optimization problems. The results obtained make it possible to set optimal characteristics when designing narrow-band dynamic filters for random signal spectrum analyzers. The results of the study are proposed to be used in communication systems for filtering interference, radar to improve the quality of identifying airborne objects against the background of interference, and in measuring technology when building spectrum analyzers.

11:15
Method for binary contour images vectorization of handwritten characters for recognition by detector neural networks

ABSTRACT. This paper describes the developed method for binary contour images vectorization of handwritten characters for recognition by detector neural networks. A description of the software that implements the developed method is given.

11:30
Peculiarities of Using the Digital Format in Computational Processing of Coherent Radar Signals

ABSTRACT. The results of the modification of the computer representation of radar signals with the aim of significantly reducing the sampling rate when processing both reflections from point objects (airplanes, spacecraft), and incoherent scatter signals from a distributed target are presented. A computer algorithm for processing such signals is proposed. The calculations confirm the high sensitivity of the proposed variant to small values of the Doppler shift for large durations of the radar pulse. The developed discrete representation of radar signals is applicable both for incoherent scatter radars and for traditional radars of the active type.

11:45
Computational Simulation Model of the Contact Behavior of Fiber Reinforced Composites on the basis of Analytical and Semi Analytical Algorithms

ABSTRACT. Analytical and numerical-analytical methods for simulating a plane axisymmetric contact behavior of an elastic pipeline section with an isotropic or orthotropic viscoelastic composite wrap with a consideration of features of its mounting on a loaded or unloaded pipeline with or without tension have been developed. These methods allow analyzing the efficiency of repair works on different mounting modes and at various degrees of anisotropy of the viscoelasticity of the composite wrap. The methodology qualitatively differs from the previously created techniques by a complexity of the approach, a high speed, an automation of receiving the sought-for parameters and a possibility of the created models to take into account the degree of anisotropy of viscoelasticity which differs from the degree of anisotropy of elastic properties. These advantages of the developed simulation model allow using it in the further computational intelligence algorithms as a standalone or integral part.

12:00
Research of Periodic Properties of the Generator Based on m-ary Codes

ABSTRACT. The development of high technologies put forward new requirements for the stability of the cryptographic means used in the post-quantum cryptoperiod (the emergence of a full-scale quantum computer). One of these mechanisms are pseudo-random number generators, which are used in symmetric and asymmetric cryptosystems and authentication mechanisms, while providing both additional and session cryptographic strength. The paper investigates the periodic properties of pseudo-random number generators on m-ary codes, the stability of which is based on the complexity-theoretic problem of syndromic decoding of a random code. An improved method for generating pseudo-random sequences is proposed, which allows generating sequences with a guaranteed period.

12:15
Modified Searchless Method for Identification of Helicopters Turboshaft Engines at Flight Modes Using Neural Networks

ABSTRACT. This work is devoted to the improvement of the automatic control system of helicopters turboshaft engines through the introduction of a block of signal adaptation of engine parameters into it using a modified method of searchless identification. The implementation of the proposed solutions is carried out using the NEWFF multilayer neural network, which made it possible to significantly reduce the maximum absolute error compared to the least squares method

12:30
Features of the distribution of computing resources in cloud systems

ABSTRACT. The report considers the peculiarities of the distribution of computing resources in cloud systems. The most used classification of existing technologies of cloud services is considered. The advantages and disadvantages of such technologies are analyzed. The characteristic features of cloud computing that will need to be taken into account when allocating resources have been identified. IAAS technology has been shown to be most vulnerable to suboptimal resource allocation or reallocation. An expanded set of indicators for IAAS technology has been identified, including time-varying ones that need to be considered in resource allocation. Solving this problem will increase the efficiency of the use of cloud computing resources in general, increase application productivity and reduce the cost of infrastructure and its maintenance.

14:00-18:00 Session 7A

Section 6. Computational Intelligence

https://us02web.zoom.us/my/khpiweek2022.2

Access code: KhPIWeek

14:00
Fuzzy Methods for Modelling Earthquake Induced Sloshing in Rigid Reservoirs

ABSTRACT. This paper is devoted to analysis of liquid vibrations in rigid containers at seismic loads. An effective numerical method is developed involving boundary elements and fuzzy logics. The novelty of the proposed method consists in using fuzzy concepts to analyzing uncertainties in earthquake parameters. First, deterministic methods are used for estimation of dynamic characteristics of structures with compartments partially filled with liquids. Sloshing problems are solved both in linear and nonlinear formulations. Then randomness of some earthquake parameters is adding to mathematical model. The fuzzy stochastic differential equations are received and solved numerically. Numerical results are obtained that demonstrate influence of uncertainties. These results provide a more adequate estimate of the free surface level during earthquakes and allow us to draw a conclusion about the possibility of hazardous contents spilling.

14:15
Algorithm for kinematic design of andropomorphic robot’s with a free foot walking control

ABSTRACT. An algorithm for the kinematic design of the feet motion laws of an android (humanoid) robot, taking into account the rotation of the feet in the vertical plane, is proposed. Such a turn at each step is necessary to organize the optimal control of the android-like motion of the robot. The model reflects the single-support and double-support phases of walking, the difference between the first and subsequent steps. Particular attention is paid to the smoothness of the feet motion. To do this, the process of foot motion is divided into four sections: tearing off the heel, transferring the heel to its upper point and touching it with the walking surface, then touching the toe the same. All these phases are designed in such a way that at their joining points the corresponding trajectories have the same coordinates, velocities and curvatures. For a non-impact setting of the heel on the surface, the third section of the foot motion is represented by a cycloid. The software modules that realize the algorithm are implemented in the KiDyM software. The results of motion simulation are presented

14:30
Method of automatic identification of ruler scales on images to solve the problem of estimating the geometric dimensions of certain objects

ABSTRACT. Detection of pixels to real-world unit correspondence on the image is an important step for the further analysis of the geometrical characteristics of the objects on the image. In this paper, I propose an iterative method of automatic identification of the ruler scales on the image based on digit recognition. Experiments showed a mean absolute error of 6.63 px and median absolute error of 4 px on high-resolution images (3104x1746 px) compared to the manual measurement results. I focus on the medical domain images, but this method can be used in many others domains like forensic, museum business, etc.

14:45
Digital Filters for Frequency Bands Selection of Auscultation Signals

ABSTRACT. In this paper the application of digital filters of auscultation signal processing is considered, in particular, for selection from the Bell, Diaphragm and Extended frequency ranges, which is necessary for more reliable diagnostics of heart, lungs and other internal organs diseases. The urgency of this task is caused by the fact that auscultation is currently one of the main methods of clinical investigations. At the same time, when using traditional acoustic phonendoscopes and stethoscopes, to obtain reliable diagnostic signals, as a rule, a highly qualified practitioner is required. The analog active and passive filters used in electronic stethoscopes cannot provide the required accuracy and reliability. In this work it is suggested to use digital filters for separation of diagnostically important ranges. FIR and IIR filters were compared and characteristics of IIR filters of different types with different characteristics were analyzed. On the basis of the analysis of real auscultation signals the recommendations on the choice of the IIR filter parameters for selection of the Bell, Diaphragm and Extended frequency ranges were elaborated. The results of the work can be applied in the construction of microcontroller stethoscopes.

15:00
Fast two-factor authentication method in systems with a centralized user’s database

ABSTRACT. work proposes a two-factor authentication method by integrating the second factor into the authentication service in system with a centralized user’s database. This approach made it possible to achieve the universality of the process and reduce the authentication time. In this case, the compromise of the first factor becomes inexpedient. Simulation showed that the rest of the authentication parameters meet the requirements defined by international standards for two-factor authentication procedures.

15:15
Models for Parametric Synthesis of Mobile Robots

ABSTRACT. The paper analyzes the problem of designing mobile robots for the inspection of dangerous buildings and structures. Models for choosing a driver, servo drive, and rangefinder according to many functional and cost criteria and limitations have been developed. Application examples of the developed models are given.

15:30
Application Volterra Model of the Oculo-Motor System for Personal Identification

ABSTRACT. Knowledge about eye movement is of great theoretical and applied importance. Analysis of the relationship of the oculo-motor system (OMS) with the central nervous system, with the content of mental processes, with various forms of activity (behavior, activity, communication) helps to study the mechanisms of the brain and their disorders, to identify the dynamics of psychophysiological states, patterns of perception, thinking, intentions and attitudes of the individual. A significant drawback of the existing equipment that implements this technology is the fundamental impossibility of measuring the dynamic and nonlinear characteristics of OMS - a promising direction in the development of modeling biological objects - without knowledge of which it is impossible to build an effective control system. To eliminate this shortcoming, the traditional structure of the system for tracking the behavior of the pupil from video recording was further developed in this work, which made it possible to determine the dynamic characteristics of the human visual system from experimental observations of "input-output" (the identification problem).

15:45
New neural networks for determining proximity and distance functions when comparing binary objects

ABSTRACT. Artificial neural networks are effectively used to solve various problems (recognition, clustering, classification, etc.) in conditions where information about objects is given by vectors with binary components. The Hamming neural network is an effective tool for solving these problems when the initial information is given in the form of bipolar vectors. However, when comparing binary objects with qualitative features, more than 70 different distances (proximity measures) and proximity functions of binary objects are used. Synthesizing dozens of neural networks for matching binary objects is too laborious. Therefore, a universal approach to the synthesis of such neural networks is proposed. In addition, the Hamming network can select only one object from its memory that is closest to the input. It cannot function normally if there are two or more such objects. The proposed neural network does not have this shortcoming. And last but not least, a neural network with this architecture allows you to calculate various distances and similarity measures of the input data and data stored in the network memory

16:00
The use of many-valued logics to improve the elements and devices of computer technology

ABSTRACT. To estimate the measure of proximity and distance in various tasks (clustering, classification, etc.), one of the most common ways to represent information about objects is a binary indications vector. At the same time, to estimate the measure of proximity, a sufficiently large number of relationships are used that describe binary indicators of similarity and distance between objects with qualitative characteristics. At the same time, during the real functioning of objects, their characteristics can change over time, which can lead to uncertainties when comparing binary vectors of qualitative indications that describe these objects. Therefore, it is advisable to use many-valued logics that can take into account such uncertainties. The paper describes approaches to the application of such logics, and also considers their modifications to determine the measures of proximity and distances for objects whose characteristics are described by vectors using many-valued logics under uncertainty.

16:15
Monitoring the state of industrial facilities units using vibration signals

ABSTRACT. The article is devoted to the issues of monitoring the fuel system state in diesel units by evaluating the vibration signals taken by a vibroaccelerometer from the tube of the high pressure fuel pump. The spectral conversion methods of vibration signals are considered and analyzed, the optimal one is selected based on the possibility of using it in real time, an algorithm for controlling the fuel system in diesel units is developed, simulation modeling is carried out.

16:30
Elements of Synergetics for Modeling and Comprehensive Assessment of Environmental Condition and Sustainable System Development

ABSTRACT. It is proposed to consider the object as a complex system of the form "object (system) – environment" when solving environmental problems from the standpoint of sustainable development. The transformation in the migratory flow of heavy metals is described with entropy analysis of arbitrary processes of formation of insoluble compounds. Complex entropy-synergistic analysis is proposed to determine the state of the "research system – environment" and changes due to process transformations in system objects under conditions of uncertainty.

16:45
Empirical Data Approximation Using Three-Dimensional Two-Segmented Regression

ABSTRACT. The mathematical models building is urgent problem at the present stage of the development of science and technology. As a mathematical tool for building models, both the ordinary and weighted least squares methods are usually used. This paper is devoted to the development of a methodology for building three-dimensional mathematical models. The methodology assumes the analysis of alternative models and usage of new methods and approaches. In particular, this paper discusses the following models: plane model, hyperbolic paraboloid, three-dimensional elliptic paraboloid and three-dimensional two-segmented regression. These models are compared using two criteria: 1) minimizing the sum of the weighted squares of the deviations, 2) minimizing the maximum absolute deviation. The proposed methodology assumes that heteroskedasticity is taken into account while model building. To determine a general equation with several segments, Heaviside step functions were used. The methodology is considered for specific example of statistical data. The performed numerical calculations proved the need to use three-dimensional two-segmented regression taking into account heteroskedasticity

17:00
DEVELOPMENT OF THE NEURAL NETWORK FOR HANDWRITTEN NUMBERS RECOGNITION BASED ON THE TENZORFLOW LIBRARY USING THE ERROR BACKPROPAGATION ALGORITHM

ABSTRACT. The neural network has been developed for recognizing handwritten numbers of MNIST databases using the TensorFlow library based on the error backpropagation algorithm (BP). The publications on solving problems of objects recognition are analysed. The loss function output and neural network accuracy is calculated. The accuracy of the constructed neural network is 97.58%, the value of the loss function after 10 epochs is 3.7. The results of the neural network are visualized.

17:15
Methodology for determining the rational number of UAVs taking into account their reliability in emergency situations

ABSTRACT. Creating a system of control and analysis of emergency situations is an important task for most countries of the world. Currently, projects have been initiated to analyze, assess the occurrence of emergency situations, generate data for the development of architecture, demonstration analytics and prototype decision support capabilities, taking into account the use of currently available data and analytical methodologies to prevent accidents and incidents. Unmanned aerial vehicles (UAVs) that work with ground and air control points in emergency situations are planned as the basis for the construction of such a system. Existing approaches to building such a system involve structural and numerical redundancy of UAVs. There are well-known methods for estimating the probability of completing the task of a fixed number of flotillas, taking into account the reliability characteristics of UAVs. This approach involves the maximum redundancy of the grouping, as well as the use of highly reliable aircraft, and therefore expensive UAVs, and does not allow quasi-optimal construction of UAV flotillas. The report proposes a methodology for determining the rational number of UAV fleets, taking into account the tasks and characteristics. The obtained results make it possible to estimate the quasi-optimal number of the UAV fleet, taking into account the reliability of the characteristics of the aircraft for the performance of assigned tasks in emergency situations.

17:30
Deep Learning-Based Impurity Evaluation: Targeting Silicon Solar Cells' Photovoltaic Parameters

ABSTRACT. In our work, we applied the deep learning-based approach for estimating am iron concentration in silicon solar cells by using photovoltaic parameters. Different variants of deep neural networks, which involve using either the short-circuit current, photoconversion efficiency, open-circuit voltage, and fill factor values, or only the first two parameters obtained under solar or monochromatic lighting, were examined. The simulation of silicon solar cells for generating labeled datasets was performed using SCAPS-1D software. Networks were tested on synthetic and experimental current-voltage characteristics. It was shown that the mean-squared error of iron concentration predictions can be about 3×10-3. The ways of optimizing the configuration and use of such neural networks are proposed

14:00-18:00 Session 7B

Section 5. Micro- & Nanotechnology

https://us02web.zoom.us/my/khpiweek2022.1

Access code: KhPIWeek

14:00
Structural Сharacteristics and Сhemical Сomposition of Cu2MgxZn1-xSnS4 Films for Solar Cells

ABSTRACT. Abstract — Films of solid solutions of Cu2MgxZn1-xSnS4 (x = 0.1; 0.2; 0.3; 0.4) were obtained from precursors with different zinc and magnesium concentrations ratios by spray pyrolysis. Their structural characteristics and chemical composition have been studied. X-ray diffractometry method showed that Mg atoms are successfully embedded in the material's crystal lattice. The resulting layers contain up to 9% magnesium and have a kesterite structure. This statement is confirmed by Raman spectroscopy. Analysis of the results shows an improvement in the structural characteristics of the layers with an increasing concentration of Mg atoms embedded in the crystal lattice of the material. Therefore, the films of solid solution Cu2MgxZn1-xSnS4 are a promising material for the absorbing layers of the third-generation solar cells.

14:15
Nonlinear vibrations of sandwich shells of revolutions with carbon nanotubes reinforced composite faces and fused deposition processed honeycomb core

ABSTRACT. The dynamic behavior of sandwich shells of revolution with carbon nanotube (CNT) reinforced faces and honeycomb core manufactured by fused deposition modeling are analyzed numerically. The every layer vibrations of the sandwich shell are described by three displacements projections and two rotations angles of the middle surface normal. The layers displacements are described by the expansion up to the quadratic and cubic terms of the transverse coordinates. The shells of revolution nonlinear vibrations are described by the system of nonlinear ordinary differential equations, which is obtained by assumed-mode method. The combination of shooting technique and continuation are used for nonlinear vibrations numerical analysis.

14:30
Flexible textile thermoelectric materials with CuI nanostructured films deposited on composites of nanocellulose and polyester fabric

ABSTRACT. In this work, nanocomposites of polyester fabric and biopolymer nanocellulose were developed as a textile backing for an efficient thermoelectric (TE) textile material with a nanostructured semiconductor film of copper iodide (CuI) 5 µm thick. Among the three methods for obtaining nanocellulose hydrogel from hemp organosolv pulp, thermochemical treatment with deep eutectic solvent turned out to be the best. This nanocellulose is composed of rod-shaped cellulose nanocrystals, which provide strength to the nanocomposite so that the TE textile sample does not crack. The CuI film in this thermoelectric textile has the best crystal structure, is non-stoichiometric, enriched in iodine, and has copper vacancies, which contributes to a large Seebeck coefficient and low resistivity, which ensures an increase in thermoelectric efficiency. The thermal image of the TE textile confirms the low thermal conductivity of the nanocomposite. Their maximum specific output power 15.6 µW/cm2 is one of the best among modern solid-state miniature, flexible and textile thermoelectric materials.

14:45
Bifurcations of nonlinear longitudinal-flexural oscillations of cantilevered single walled carbon nanotube conveying fluid

ABSTRACT. Abstract— Accounting nonlinear elasticity, the nonlinear self-sustained vibrations of the single walled carbon nanotube (SWCNT) convening fluid is derived using the Euler-Bernoulli beam model. The nonlinear self-sustained vibrations of SWCNT are described by two nonlinear partial differential equations (PDE) with respect to longitudinal and transversal displacements. The Galerkin technique is applied to derive the nonlinear ordinary differential equations, which describe the longitudinal-flexural self-sustained oscillations. The infinite sequence of the period-doubling bifurcations of the longitudinal-flexural self-sustained vibrations is analyzed numerically.

15:00
Structure, chemical composition, and Raman characterisation of CdZnTeSe thick polycrystalline films

ABSTRACT. In this work, thick polycrystalline CdZnTeSe films with different concentrations of components were deposited by the close-spaced sublimation. The chemical composition and Raman spectra of obtained films were investigated. The surface morphology and structural properties were studied in order to determine the crystalline quality of the films. It was determined that close-spaced sublimation allows to obtain high-quality CdZnTeSe thick films with Zn concentration up to 3 at. %, and Se concentration up to 1.5 at. %, with can be used as a material for X-ray and gamma-ray detectors.

15:15
Srength Characteristics of Liquid Storage Tanks with Nanocomposites as Reservoir Materials

ABSTRACT. The objective of this research is developing effective methods to estimate static and dynamic strength characteristic of liquid storage tanks. Fluid-filled reservoirs made of different nanocomposite materials are considered using concept of representative volume element. Static and dynamic analyses are accomplished. Free and forced vibrations of the elastic shells of revolution, partially filled with an ideal incompressible fluid are analysed. Finite and boundary element methods are used for numerical implementation. It has been demonstrated that the lowest own frequencies of elastic reservoirs are corresponded to sloshing. To reduce the sloshing amplitude, it is proposed to use a floating cover in the form of an elastic membrane. The results of the calculations have been shown that the use of composite materials with nanoinclusions in the form of steel spheres is the best option for environmentally friendly operation of tanks under intensive loads.

15:30
Control of FET transistor electronic load

ABSTRACT. On the basis of the previously considered physical and circuit solutions for the implementation of the electronic load unit, its cooling and control system was developed. The calculation of the heat balance allows you to choose the right cooling system for stable operation of the system. The control of the electronic load unit is implemented using INA219 and Xicor X9C microcircuits, and a method for their calibration is proposed. These solutions will make it possible to create a universal electronic load solution for researching semiconductor devices and solar cells.

15:45
CONTROL OF ELECTRICAL CONDUCTIVITY OF BIMETAL BY JOINT PLASTIC DEFORMATION AND HEAT TREATMENT

ABSTRACT. It is shown that metals and alloy binary systems are widely used in technology due to the uniqueness of their mechanical, physical and chemical properties. Anisotropy of mechanical and electrical properties, which is due to cold plastic deformation, is not unimportant. Binary systems use is not limited to the mechanical engineering industry but also finds application in electrical engineering, automobile, aircraft, and rocket production. In this case, many parts are obtained by metal forming methods, which are characterized by ultimate plastic strain, heating, and hardening. Therefore, to predict the quality of products made of bimetallic compositions, it is necessary to be able to control the stress and deformation fields in the form alteration process. This is achieved by analyzing the component's initial mechanical properties, threshold deformation, anisotropy, hardness, and plasticity, and electrical conductivity. Based on this information, it is possible to find the system deformation regularities in which there is an inextricable layer connection. It is shown that as a result of the binary system deformation, the soft layer deformation becomes more difficult, and the hard layer deformation is facilitated, which leads to the convergence of the soft and hard layers deformation, and, consequently, to a decrease in the uneven bimetal deformation. This circumstance affects the electrical resistance of the bimetal and leads to anisotropy of electrical conductivity, which consequently contributes to an increase in heat losses due to eddy currents in electrical grids and devices.

16:00
Modeling of Influence of Shupe Effect on Fiber-Optic Goniometer with different coil winding types

ABSTRACT. One of key errors of the classic interference-type fiber-optic goniometer is the thermo-optical zero shift. Its caused by the non-uniform change of temperature of different fiber sections in the loop under the influence of temperature; as a result of that, counter-rotating waves get different phase incursions during stretching of fiber in the loop, thus creating thermo-optical zero shift (Shupe effect). Difference of the phase incursions of counter-rotating waves is the bigger the higher speed of fiber length change is, and the higher difference of delay time of those waves. The current study is focused on the modeling of influence of the Shupe effect on on the precision of the fiber optic goniometer. The key features of the goniometer mentioned are use of the copper coil carcass and compound with high thermal conductivity (use of nanotubes is desired). Different coil winding types (simple, dipole quadrupole, modified quadrupole, bifilar, octupole) are considered from the point of view of minimizing the thermo-optical zero shift under self-heating and influence of the ambient temperature changes. Analysis is based on the transient thermal analysis of finite element model of the goniometer performed in ANSYS environment with subsequent data import and integration of phase incursion, calculated based on temperature data, along the fiber length. Study results show that best results during self-heating gives the use of quadrupole winding, at that goniometer’s zero shift changes insignificantly (about 0.08°, compared to 1,35° for the simple winding). Change of ambient temperature for a given design has almost no influence on the zero shift, as device is heated uniformly. One should note that as during modeling not all factors could be taken into account, the result obtained should be checked and qualified during FOG tests.

16:15
Experimental study of the porosity of Ni+Zn+Al2O3 coatings deposited by low-pressure cold spraying

ABSTRACT. One of the important properties of coatings is the microgeometry of the coating surface, structure of internal areas and transition area from the coating to the substrate. These properties determine main physical characteristics of coatings, such as adhesion, cohesion, coating density, thermal conductivity, microhardness, etc. The paper presents the results of studies of the influence of temperature and air pressure at the inlet to the supersonic nozzle, as well as the distance from the nozzle to the substrate (stand-of-distance), on the microstructure and porosity of coatings obtained from Ni+Zn+Al2O3 powder mixture during low-pressure cold spraying (air pressure at the inlet to the nozzle up to 1.0 MPa). In the study, a nickel-based powder mixture was used as a powder material, in which the proportion of Al2O3 is approximately 30 % mass. VT9 titanium alloy plates were used as the substrate material. Based on the multi-factor planning of the experiment, the influence of complex parameters of the low-pressure cold spraying on the porosity of coatings was studied. Porosity studies were performed on prepared microsamples using electron microscopy. The dependences of the influence of complex parameters of the spraying process on the porosity of coatings are constructed from the analysis of the obtained statistical data. It is established that the air temperature has the greatest influence on the studied parameter, and by changing the spraying modes it is possible to control the porosity values in a rather wide range, which ranged from 2.7 to 6.6 % in this study.

16:30
Waveguide Directional Coupler Design Method

ABSTRACT. This work is devoted to directional couplers parameter calculation and verification by simulation in HFSS. The contradiction between the results of previous calculations and modeling is the problem of this research. A simplified method is proposed for calculating the radii of the holes of a directional coupler, which consists in central hole radii calculating, on the basis of the parameter of required coupling, which differs by using the Newton binomial coefficient, so the radius of the current hole is calculated as the radius of the central hole which is divided by coefficient. The coefficient is the cube root of the of the binomial polynomial numbers ratio, where polynomial numbers correspond to central and current hole. The cube root of number is a value which when multiplied by itself thrice or three times produces the original value.

16:45
On the Application of Energy Method for the Numerical Evaluation of the Effective Dissipative Properties of Composites

ABSTRACT. This paper provides the model of the composite material using the energy method to determine its effective energy dissipation characteristics. There are employs finite element modelling of a representative volume element and setting equal its strain energy complex values to the equivalent homogeneous material volume one. The results of the calculations imply that a composites representative volume element can be used to analyze the energy dissipation characteristics in the viscoelastic composite components structures elements, which are made of them. Thus, the analysis of the ratio between the dissipated energy in the epoxy matrix material and dissipated energy in the layers of carbon/epoxy laminates for the different values of carbon volume fraction is performed using the model. The efficiency of the proposed model aimed at the dissipative properties of various types of composites is also shown.

17:00
Magnetic-Pulsed Separation of Sheet Metals

ABSTRACT. The purpose of the article is to offer the method tool, the characteristic estimates, the theoretical analysis of the ongoing electrodynamic processes and the experimental testing aimed at substantiating the efficiency of magnetic-pulsed separation of two flat tightly adjacent conductive sheets in an inductor system with a rectangular solenoid placed on one of their surfaces. Methodology. For conducting the research, the methods for solving boundary electrodynamics tasks, the mathematical applications from the Wolfram Mathematica package, the experimental research methods in Mechanics and Applied Electrodynamics have been employed. Results. The analytical expressions for the spatiotemporal distribution of magnetic pressure forces in rectangular inductor systems which generate packets of low-frequency plane-parallel electromagnetic waves have been obtained. Successful experimental testing of the magnetic-pulsed separation of aluminum sheet samples confirmed the validity of theoretical conclusions. It was found that for the practical application of this production operation, sufficiently small values of exciting fields, as well as low voltage values on the capacitive energy storage of electromagnetic power sources (~ 0.5…1 kV) are required. Practical implications. The results obtained allow to put into practice effective magnetic-pulsed technologies of separating sheet metals in automated lines and their transportation directly to the processing zone.

17:15
Heat Balance Model for PV/T Systems

ABSTRACT. In robots, solar collectors and thermophotoelectric systems (PV/T) are considered, which are one of the most promising systems for instilling energy. Electricity, which is vibrated by photovoltaic panels, has a great potential, but there may be technological shortcomings, which do not give maximum efficiency. The meta of our research is the development of a universal model of heat exchange processes for optimizing the design features of PV/T systems at the stages of design and variability, which allows us to increase the term of service of such systems and increase their efficiency. The expanded model allows you to change more practical parameters for two coordinates of a flat collector, such as to change the consumption of thermal energy, thermal support of the absorber plate, heat exchange, operating temperature, etc. The results of the model investigations correlate with the experimental data. On the basis of the proposed model, a software product for the model-bath of PV/T systems was developed and tested on the experimental results of those ready-to-wear PV/T systems. In the course of carrying out the expansions, depending on the basic parameters, the heating of heat was removed when one segment of the collector was passed by approximately 1.5 °C. The designated in-crease in temperature is reached at a heat transfer rate of 0.6 m/s, which is to achieve a great rate. The most optimal will be the heating of heat when passing through the collector by 5 °C, which will allow to re-duce the speed of heat transfer to 0.2 m/s and significantly reduce the amount of electricity consumed by the pump. The variation of the expanded model allows to implement a wide range of optimization tasks at the stages of designing and optimizing solar collectors and PV/T systems, to take the optimal design parame-ters to achieve the greatest efficiency and minimum occupancy.

17:30
Poisoning at Air Leaking and Recovery of Thermionic Activity in BaZrO3 – W System

ABSTRACT. Experimental results on the poisoning of thermionic composite cathode material 60% BaZrO3 – 40% W (by mass) in the temperature range 1400 – 1700 K and at pressure from 1.33 · 10−5 to 1.33 · 10−2 Pa with air leaking are presented. It is shown that the studied composite reduces its emission activity in the indicated temperature and pressure ranges. For each degree of poisoning, the annealing temperatures at which the emission activity is completely restored are determined. In the pressure-temperature space, the conditions for the complete absence of poisoning of a composite based on barium zirconate with finely dispersed tungsten are determined. The observed increase in the thermionic current after the air leaking termination is caused by the formation of Ba–Zr–O, W–Ba–O and Zr–W–O adsorption systems on the emitter surface.

17:45
Polymer nanocomposite materials based on polypropylene glycol, LiClO4 and carbon nanotubes for electrochemical devices

ABSTRACT. The structure, thermophysical and electrical properties of polymer nanocomposite materials with mixed ionic-electronic conductivity based on polypropylene glycol, lithium perchlorate and carbon nanotubes (MWCNTs) were studied using the methods of X-ray diffraction, differential scanning calorimetry and impedance spectroscopy. The optimal polymer/salt ratio when the electrical conductivity is the highest was determined. It was established that the introduction of MWCNTs into the polymer electrolytes leads to an increase in their electrical conductivity, improved structure and thermal properties. It is found that two types of conductivity (ionic and electronic) are coexisted in the obtained materials. These values of functional characteristics make this materials perspective for use in electrochemical sources.