bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building a sequential turbo code with additional encoding of information bits
Authors: Sidorenko A A 
Published: December 2022

Abstract
Turbo codes have the best correction ability in a data transmission channel with a high bit error rate, and are used in a variety of data transmission systems. This publication describes the possibility of improving the corrective ability of the sequential turbo code by additional encoding of information bits. A method for introducing the reliability coefficients of the decoded bits of the received code word of the turbo code is considered. A practical example shows the effectiveness of the proposed methods. The tasks of further research in this area are described.
Human motion capture algorithm for creating digital shadows of the movement process
Authors: Obukhov Artem D , Volkov Andrey A , Vekhteva Nadezhda A , Teselkin Daniil V , Arkhipov Alexey E 
Published: December 2022

Abstract
The improvement of virtual reality systems declares new requirements for the user immersion quality. To improve the immersiveness of the interaction process with virtual space, it is necessary to provide a realistic representation of a person in it, as well as the processes of his movement and interaction with virtual objects. In this work, the issue of using motion capture technologies to create a realistic avatar (digital shadow) and visualization of the movement process is considered. An algorithm for capturing human movements based on synchronization of various hardware solutions has been developed to create a digital shadow of the human movement process. The algorithm can be used to match the user with his virtual copy in virtual reality systems. The scientific novelty of the method lies in taking into account the position, direction and speed of a person’s movement, synchronization of the motion capture hardware tools used to create digital shadows of the person’s movement process.
Mathematical model of the digital shadow of the human movement process
Authors: Obukhov Artem D , Patutin Kirill I , Volkov Andrey A , Nazarova Aleksandra O , Dedov Denis L 
Published: December 2022

Abstract
The process of forming a digital shadow of the human movement process is considered, which can be used in virtual reality systems, musculoskeletal rehabilitation, and other human-machine systems based on the analysis of the user’s movement. The most important step in creating the digital shadow is its formalization in the form of a mathematical model. At present, the issue of the formalization of digital shadows of various objects and processes has not been fully developed. The article discusses the development of the mathematical model of the digital shadow of the movement process, the novelty of which lies in combining information from four sources (three different motion capture systems and a complex of medical sensors to assess the physical condition of a person), as well as their synchronization and filtering. The obtained theoretical results will be used as a basis for software abstraction of the digital shadow in information systems to solve the problems of testing, simulating a person and modeling his reaction by summarizing the collected data arrays about his movement.
Mathematical model of the process of mixing and separation in a microfluid channel with five outlets
Authors: Kurbangaleev A A , Tazyukov F H , Gerasimov A V , Karibullina F R 
Published: December 2022

Abstract
The article presents the results of mathematical modeling in a two-dimensional formulation of the mixing process by mutual diffusion and separation of flows of Newtonian fluids in a microfluidic mixing channel with five outlets. Branches are used to separate flows into fractions with a given concentration of one of the components in the mixture. The diffusion process occurs in a laminar flow regime, without chemical and thermal interaction. The mixture flow model was set up in a two-dimensional formulation. One component of the mixture flows through the main channel 1 mm wide, then at a distance of 5 mm from the entry point to the channel perpendicular to it, there are two more entrances also 1 mm wide, through which the second component is fed. At the outlet, there are five taps with dimensions of 0.2 mm to take the mixture of the desired concentration. Four outlets for the intake of the mixture are located opposite each other in pairs. Liquids with the physical characteristics of water and ethyl alcohol were taken as miscible components. The problem was solved using the ANSYS-Fluent software package.
Efficiency rectification of predictive machine learning models by data centric optimization
Authors: Bekeneva Ya A , Sultan S 
Published: December 2022

Abstract
There are two ways to optimize the performance of machine learning models, one is model centric, and another is data centric. Model centric approaches sometimes cannot yield expected results, so researchers and developers are now focusing on data centric optimization. Main steps of data centric approaches are – noise detection and correction, effective feature selection, feature transformation and data augmentation in case of limited datasets. Be it image, audio, text or numerical data, the mentioned approaches are always beneficial irrespective of model architecture. This paper is devoted to developing new preprocessing techniques for numerical data. The developed algorithm is tested with different artificial and real datasets for linear regression, k-means clustering, SVM classifier and deep learning networks. The algorithm is easy to implement and computationally less expensive. Experimental results show that proposed methods work well to improve model efficiency.
Forecasting the environmental situation at the purification plants of the enterprise based on fuzzy logic
Authors: Ivashchuk O D , Nesterova E V , Igrunova S V , Kaliuzhnaya E V , Udovenko I V 
Published: December 2022

Abstract
The study set the goal of improving the efficiency of various technological schemes of purification plants of the enterprise through the development of an expert system based on fuzzy logic methods and the formation of practical recommendations for improving the characteristics of wastewater from the operation of schemes of purification plants.
Model of operation of computer measuring system
Authors: Ershov D S , Malahov A V , Levina T A , Khayrullin R Z 
Published: December 2022

Abstract
The implementation of the concepts of a smart home - smart city implies a high level of automation using control and measuring devices and equipment, as well as computer and informational technologies. One of the effective trends of automation is the widespread use of computer measuring systems Article presents the model of operation of a computer measuring system with digital data processing is proposed. The presented model is based on the semi-Markov model of operation of an analog-to-digital converter, on the semi-Markov model of an embedded personal computer, on the analytical formula for calculating the availability factor of computer measuring system. The analytical expression for the availability factor of a computer measuring system includes both the technical and operational characteristics of the computer, as well as the metrological and technical characteristics of the analog-to-digital converter. The specified expression allows to find the optimal value of calibration and verification interval. Determination of the optimal calibration interval required to control the metrological characteristics during long-term operation of the computer measuring system. The developed model can be used to set requirements for the metrological support of instruments and de-vices used in the framework of the automation trend in the sphere of housing and communal services.
Vector fields and differential equations
Authors: Ya Narmanov A , Rajabov E O 
Published: December 2022

Abstract
The geometry of orbits of families of smooth vector fields is an important object of mathematics due to its importance in applications, in the theory of dynamic systems and in the foliation theory. The paper devoted to the applications of the geometry of orbits of vector fields in four dimensional Euclidean space in theory of differential equations. It is shown that orbits generate singular foliation ever regular leaf of which is a surface of negative Gauss curvature and zero normal torsion. In addition, the invariant functions of the considered vector fields are used to find solutions of the two-dimensional heat equation that are invariant under the groups of transformations generated by these vector fields. In this paper smoothness is smoothness of the class C
∞.
Extraction of individual gait features in mobile phone accelerometer
Authors: Dorofeev N V , Grecheneva A V 
Published: December 2022

Abstract
An algorithm for extracting individual signs of a person’s gait according to the data of a mobile phone accelerometer is considered. The developed algorithm includes the stage of data segmentation, correlation selection of motion patterns, and data clustering procedures. By selecting noisy segments, the quality of data clustering and the extraction of individual features is improved. The results of the algorithm work allow us to refine the existing models of changes in human motor behavior in personalized medicine and security systems. The article also discusses the features of data segmentation and the influence of external factors on the measurement results.
Recognition of the emotional state of energy facilities operators based on artificial immune systems
Authors: Nuriakhmetov A I , Bogdanova D R , Yusupova N I 
Published: December 2022

AbstractThis research paper presents results on the construction of a system for recognizing emotional state of energy facilities operators by the expression of their faces in the images. The model uses one of the algorithms of artificial immune systems as a classifier. An artificial immune system is a concept that contains methods and algorithms that try to apply the basic mechanisms of biological immune system to solve various practical problems. In accordance with the main aim of the research, the article deals with existing concepts of emotion classification as well as current methods for recognizing emotions from facial expressions in images. Also, a brief review of the literature is given in accordance with the questions posed. The proposed model uses a feature extraction approach based on marking the human face with 68 points, followed by extraction of their coordinates. For the obtained coordinates, a new special technique for their processing for subsequent classification is proposed. The built model is able to classify the 7 basic Ekman emotions both on images and in the video stream, with an accuracy of about 80%.
Formalization of the problems of synthesizing adaptive control systems with reference models
Authors: Igamberdiev X Z , Botirov T V , Latipov Sh B 
Published: December 2022

Abstract
The problem of synthesizing adaptive control systems for continuous technological objects is an urgent scientific problem, the solution of which has the great theoretical and applied significance. This article covers the formalization of the problem of synthesizing adaptive control of complex objects based on reference models. The direct approach is connected with the use of a standard, under which the running of the entire system or its part is adjusted. The correction is performed based on minimizing the quality functional from the mismatch between the standard and the real system, as well as the ways of constructing regulators based on the concepts of the theory of direct adaptive systems are considered.
Decoding of stimuli time series by neural activity patterns of recurrent neural network
Authors: Bartsev S I , Markova G M 
Published: December 2022

Abstract
The study is concerned with question whether it is possible to identify the specific sequence of input stimuli received by artificial neural network using its neural activity pattern. We used neural activity of simple recurrent neural network in course of “Even-Odd” game simulation. For identification of input sequences we applied the method of neural network-based decoding. Multilayer decoding neural network is required for this task. The accuracy of decoding appears up to 80%. Based on the results: 1) residual excitation levels of recurrent network’s neurons are important for stimuli time series processing, 2) trajectories of neural activity of recurrent networks while receiving a specific input stimuli sequence are complex cycles, we claim the presence of neural activity attractors even in extremely simple neural networks. This result suggests the fundamental role of attractor dynamics in reflexive processes.
Development of pipeline feature engineering for building an AutoML service
Authors: Parfenov D , Bolodurina I , Grishina L , Zhigalov A , Legashev L 
Published: December 2022

Abstract
The large–scale implementation of artificial intelligence approaches in applied fields has a number of limitations, one of which is the availability of research competencies, knowledge of data analysis methods, mathematical statistics and machine learning. Automatic machine learning is designed to simplify the methodology of ML application development. Within the framework of this study, a new approach to the construction of pipeline feature engineering for AutoML service is presented, based on the sequential expansion of the feature space and the use of autoencoders to reduce the dimension of input features and reconstruct the final output features. The results of the presented approach are shown by the example of VANET network traffic data when solving the problem of classifying attacks on nodes. The data set was obtained as a result of simulating the real traffic of a certain segment of the VANET network in the OMNET++ environment and subsequent aggregation of data on network flows by means of CICFlowmeter-V4.0. Experiments have shown that machine learning models on the source data have an accuracy of 2% lower on average, which indicates the effectiveness of using the proposed Feature Engineering approach. The highest classification accuracy was demonstrated by Pipeline using the Multi–layered Model autoencoder and the XGBoost classification model – 91.2%. Thus, the presented Feature Engineering approach can be used to build the most effective feature space and improve the quality of machine learning models.
On the use of the skin effect for eddy-current control of cylindrical metal products
Authors: Vornacheva I V , Pankov D N , Malikov V N , Scherbakov A P , Kuzmin O V , Voinash S A , Yu Remshev E 
Published: December 2022

Abstract
In this paper, the fundamentals of the theory of the skin effect as applied to long cylindrical ferromagnetic conductors when exposed to a high-frequency electromagnetic field are considered. The results of this study can be used to process experimental data obtained, as a result, of studying the fatigue properties of ferromagnets.
Assessment of the load-bearing capacity of materials and structures using a finite element model
Authors: Sazonova S A , Zyazina T V , Smetankina G I , Barsukov A I , Akamsina N V 
Published: December 2022

Abstract
The current technical condition of a multi-storey frame building structures is studied. The survey is carried out for individual structural elements of the object, which makes it possible to determine the actual technical condition of the building and its constituent elements. Additional damage and defects appeared at the object under study due to the forced break in construction. Verification calculations of the non-existent capacity of structures were performed based on the results of the technical condition monitoring. The existing real operational loads and impacts were taken into account in the calculations for the actual design schemes. The results of field studies were processed to develop a reconstruction project for a frame multi-storey building. Quantitative estimates of the actual quality indicators of load-bearing building structures were used. A computer-based verification calculation based on the application of a finite element model was performed for the construction of a cinema hall located in the frame building under study. Plots of internal forces in structures are obtained. It is concluded that the object under study is in a working technical condition.
Analysis of subharmonic oscillations in three-phase Ferroresonant circuits with bias
Authors: Tovbaev A N , Ibadullayev M , Norboyev S I 
Published: December 2022

Abstract
In the theory of nonlinear electrical circuits, the analysis of physical processes occurring in three-phase Ferroresonant circuits during excitation of subharmonic oscillations (SHO) of the second order is of particular importance in the design and creation of various converter devices. From the point of view of creating multi-phase secondary power sources (phase-discrete devices, frequency dividers, switching elements, automation and relay protection devices, etc.), the study of second-order SHO excitation in three-phase Ferro resonant circuits with bias is of greatest interest. The article deals with the excitation of second-order subharmonic oscillations in three-phase self-oscillatory circuits with common magnetic circuits with a bias winding. Shortened equations are derived using the averaging method with appropriate phases. From the condition for the existence of a periodic solution, the phase and amplitude relationships of the excited oscillations are determined, which are different from three-phase circuits with a separate ferromagnetic element. In the steady state, the conditions of excitation, the region of existence are determined depending on the parameters of the circuit, the bias current and the applied action. The stability of the solution of the original system of nonlinear differential equations of the second order is also studied by analyzing the roots of the characteristic equation by a qualitative method. Numerical realization of the initial considered system of equations described, self-oscillatory processes is given.
Carboxyl-functionalized aluminum oxide nanofibers for powder coatings
Authors: Simunin M M , Yu Chirkov D , Samoilo A S , Fadeev Yu V , Voronin A S 
Published: December 2022

Abstract
The paper considers the production and use of alumina nanofibrous additives in nanocomposite powder paints. The main component of powder paints are polyester resins with a large number of free carboxyl groups, which are cross-linked with special hardening additives. The introduction of additives into the resin is most effective when their surface is matched in terms of physicochemical properties with the resin material. In order to increase the affinity of the alumina nanofibers with the powder paint matrix, the amphoteric surface of the nanofibers must become acidic. The paper describes a method for the functionalization of alumina nanofibers by successive silanization with aminopropyltriethoxysilane and priming with oxalic acid. The paper described about the compounding of alumina nanofibers leads to increase of the coating strength and an increase in its elasticity. Priming alumina nanofibers by aminopropyltriethoxysilane in toluene leads to its functionalization sufficient to homogenize the nanofibers in the polymer media of the powder paint and improve its product properties. The formation of an amide bond after the final stage of priming of alumina nanofibers in oxalic acid by indirectly method is shown.
Calculation of gasket vibrations under a steady operating mode of the linter machine
Authors: Mukhammadiev D M , Kh Ibragimov F , Kh Abzoirov O 
Published: December 2022

Abstract
The article presents the results of calculating the saw gasket vibrations in the steady state operation of the linter machine. It was established that the stable position of the equilibrium of saw gasket vibrations is achieved in the steady state operation of the linter machines. To determine the vibrations of the saw gasket in the steady state operation of the linter machine, calculations were conducted with expansion into a series of kinetic and potential energies. As a result of the calculations, the frequency and period of oscillations of the saw gasket were determined under the steady-state operation of the linter machine with aluminum alloy and steel materials. Calculations have shown that an increase in the frequency of vibrations is 2.88 times for steel gaskets and a decrease in the period of vibrations is 34.7% relative to the aluminum alloy. The results of calculations of the vibrations of the steel saw gasket in the steady state operation of the linter machine showed the resistance to vibrations and the expediency of their use in the linter machine when assembling the saw cylinders.
Computational approach to estimation the transverse Stability of multi-section chassis of extreme cross-country vehicles
Authors: Yu Dobretsov R , Shen Yunfeng , Vagizov T N , Timokhova O M , Karnaukhov A I , Ivanov A A , Sokolova V A 
Published: December 2022

Abstract
Multi-section chassis have a great potential for geometric and fifth wheel cross-country ability. An example is a model of a six-wheeled all-wheel drive planetary rover designed at VNIITM to study the mobility of the mobile laboratory of the Mars-94/96 project. The concept of extreme cross-country chassis involves the use of three articulated sections with a wheel mover with a removable track or a permanent track module. The rotation is carried out by changing the relative position of the sections in the plan. The article proposes mathematical models that make it possible to calculate by calculation the critical speeds and radii, according to the transverse overturning and skidding, which limit the possibility of a multi-section tracked vehicle when turning. Further development of the model implies taking into account an arbitrary scheme of external forces (including the longitudinal component of the inertia force) and caterpillar sliding, and, as a result, the transition to an iterative process in the calculations. To check the models, a calculation was made for a mass-produced two-section military transport vehicle. The prospect of using the proposed models is a preliminary assessment of the transverse stability of a three-section chassis of extreme cross-country ability.
On the global model of the ionospheric equivalent slab thickness
Authors: Maltseva O , Nikitenko T , Kharakhashyan A 
Published: December 2022

Abstract
The equivalent slab thickness τ of the ionosphere links two of its parameters: the critical frequency foF2 and the total electron content TEC and, as a consequence, allows the determination of foF2 using TEC. Interest in the parameter τ has recently increased, as evidenced by a publication in Space Science Reviews 2022, 218:37, 1-65, which provides a historical overview of τ research, presents features of τ behavior in different regions of the globe under different solar activity conditions, and indicates directions for further research. This led to the following objectives for this paper: (1) estimating the correlation coefficient between foF2 and TEC, (2) testing a unique global model τ(NSTM) - the Neustrelitz equivalent Slab Thickness Model, (3) estimating the relation between τ and the Dst index. Using data from 78 stations divided into several longitude zones, it is shown for April 2022: (1) a high correlation between foF2 and TEC on a global scale is confirmed, but there is a large dependence on data quality, (2) each longitude zone has stations for which τ(NSTM) gives good agreement with experimental values and can be used in applications, (3) the correlation coefficient ρ(τ-Dst) is found to depend on longitude, which may have a physical nature.