bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Two-level clustering chain energy heterogeneous routing protocol for WSN
Authors: Hu Mei , Wang Yongxi 
Published: December 2022

Abstract
In view of the disadvantages of high energy consumption, short life cycle, low throughput and no application correlation in heterogeneous WSN, a two-level clustering chain routing protocol is proposed under the heterogeneous WSN of intelligent water-saving irrigation system of ecological agriculture in Hexi Gobi. The irrigation subnets are divides into clusters according to the actual layout in the wireless network and the nodes in the cluster form the chain on the basis of the minimum distance. The two-level cluster headers in reserve are selected by rate of the remaining energy of terminal nodes in cluster vs. average energy in local region. Eventually the level clusters heads and the two-level cluster headers are chosen according to the largest ratio of the remaining energy to the distance between the terminal nodes and the base station. Results in simulation show that the proposed algorithm is superior to PEGASIS and SEP in energy consumption, life cycle and throughput.
Implementation of CCSDS lossless compression algorithm for geomagnetic data
Authors: Zhang Yue , Li Li , Huang Chengbin , Wang Jinhua 
Published: December 2022

Abstract
Long-term geomagnetic data monitoring will generate a huge amount of data, and compression algorithms will be required to reduce the amount of data to save data storage and transmission expenses. To adapt to the application with limited resources, the CCSDS lossless compression algorithm is applied to geomagnetic data measurement in our work. This compression algorithm is made up of two parts: a preprocessor and an adaptive entropy coder. In this study, the unit-delay predictor is chosen as the preprocessor based on the properties of the geomagnetic signal, and the adaptive entropy coder chooses a suitable compression algorithm for geomagnetic data. A 14-hour continuous measurement was performed. The results reveal that when the block size is set to 64, the algorithm can obtain a compression ratio in the geomagnetic field of 0.269 to 0.318. Furthermore, the number of chosen encoding options for three-axis magnetic data was counted.
Hazard assessment of copper(I) oxide nanoparticles obtained by reduction in the presence of polymer protector
Authors: Morenko I V , Yu Isaeva I , Eliseeva E A , Yu Ostaeva G 
Published: December 2022

Abstract
The article presents the results of a study of the danger of copper (I) oxide nanoparticles for the health of living organisms and ecological systems. A sol containing Cu2O nanoparticles was obtained by reducing metal ions in the presence of a polymer protector. The sol was then further processed to purify and separate it into its components. The products of synthesis and processing were examined using transmission electron microscopy, scanning electron microscopy, and X-ray diffraction. It has been established that as a result of processing Cu2O nanoparticles of spherical shape and a diameter of 34-149 nm (average diameter = 62 nm) were obtained. Factors affecting the hazard of this nanomaterial were identified. Using mathematical modeling methods, it was determined that the obtained nanoparticles have a hazard coefficient D= 1.773 in the case of laboratory production (medium level of potential hazard), D= 1.874 in the industrial production case (high level of potential hazard).
Reflection of the individual multipoles fields from a flat substrate in the angular spectrum approach
Authors: Kislov D 
Published: December 2022

Abstract
In this report, we give the derivation of the electromagnetic field of multipoles over a substrate, using the angular spectrum representation. The multipole series up to the electric quadrupole is considered. If necessary, this approach can easily be extended to multipoles of any order. As a result, analytical expressions for the scattered and reflected multipole fields as an infinite sum of plane waves of different polarizations are obtained.
Positional strategies in fractional order differential games
Authors: Mamatov Mashrabjon , Alimov Khakim , Esonov Egamberdi 
Published: December 2022

Abstract
Problems of the branch of mathematics called differential games, which today find their versatile applications in physics and engineering, are devoted to the construction of chase control when the states of the object are known only at given times in advance. Sufficient conditions for the possibility of completing the pursuit in the sense of hitting a small neighborhood of the terminal set are obtained. A method is indicated for constructing a positional strategy of the pursuer that infers a trajectory to a given neighborhood of the terminal set by the time determined by the first direct method of the theory differential pursuit games. In this case, the chasing party cannot use the fleeing player’s control to build its control; therefore, according to the condition of the problem, the chaser builds its control if it knows the state of the object at the given times in advance.
Database development to automate statistical analysis and build regression models of electric capacitance for magnetic nanofluid microlayers
Authors: Demin M S , Morozova T F , Bondarchuk A Yu 
Published: December 2022

Abstract
The authors review the mathematical modeling methods for complex systems. To optimize the modeling, the authors developed a database on the electric capacitance of a cell with a magnetic nanofluid microlayer. The statistical analysis resulted in the justified acceptance of the IBM SPSS Statistics software for the statistical processing of the data and the construction of the regression models for the changes in the electric capacity of magnetic nanofluid microlayers
The incremental learning algorithm for compartmental spiking neuron model
Authors: Eremenko E A , Korsakov A M , Bakhshiev A V 
Published: December 2022

Abstract
Within the framework of the neuromorphic approach, a compartmental spiking neuron model was developed. The compartmental spiking neuron model was used to solve the classification problem using a small training set. However, despite the biological inspiration of the model, the used compartmental spiking neuron model was unable to learn new instances online. The structural learning algorithm used limited the model to use only in offline scenarios, while there are a large number of tasks where the ability to adapt to new data coming in during model operation and the ability to work with data distributions that change over time are necessary. Based on this, the task of online restructuring of the model is relevant. In this paper, we propose a new algorithm for training a compartmental spiking neuron model, which allows the model to be used in incremental learning scenarios.
Ensuring the uniformity of oscillations of a flat membrane by sources of ultrasonic impact
Authors: Khmelev V N , Golykh R N , Tsyganok S N , Barsukov A R 
Published: December 2022

Abstract
The article presents the results of studies aimed at ensuring the uniformity of vibrations of a flat membrane by sources of ultrasonic exposure. The relevance of the conducted research lies in the fact that for the effective implementation of physical and physicochemical processes in thin liquid films, it is necessary to ensure the maximum uniformity of the effect over the entire surface area of the spreading film. The main problem is that today there are no ultrasound emitters that are able to form a uniform distribution of vibrations over the entire impact plane and thereby ensure the uniformity of the technological process. The vibration concentrators and reciprocating working tools that currently exist are distinguished by a limited radiation surface. This is due to the fact that attempts to increase the area of the radiating surface lead to the need to use multipackage piezoelectric transducers. However, in this case, it is not possible to ensure the in-phase oscillations of each packet (due to wave processes inside the emitter material) and, therefore, for large surface areas, the oscillations turn out to be inhomogeneous or have a small amplitude. The authors propose a mathematical model that will allow optimizing the location of the emitters to ensure maximum uniformity of oscillations of a flat surface. The proposed model makes it possible to identify the optimal configurations of radiators, which provide the smallest dispersion of the oscillation amplitude of the free surface (on which there are no fixed radiators).
Implementation of processor cores of a fault-tolerant control system on FPGA under external control
Authors: Saramud M V , Karaseva M V , Kovalev I V , Losev V V 
Published: December 2022

Abstract
The paper describes the choice of a technical solution for the implementation of a fault-tolerant real-time control system under external control. The main idea of the method is to introduce an external control block of the main control system that includes a watchdog and a backup decision-making algorithm. This block was supposed to be executed on an external FPGA-based block. The main system was supposed to be executed on the CPU. The paper proposes a variant of creating the entire system on a single FPGA. It implements both the processor cores for the operation of the main control system and control block. Various variants of cores for implementation on FPGA are considered. The paper studies suitable projects of processor cores for implementation on FPGA. It is concluded that the LEON series cores are suitable for the problem of building a fault-tolerant control system, since they already have technical solutions to improve fault tolerance. It is concluded that the proposed approach to building a fault-tolerant control system with external control can be fully implemented on a single FPGA. It has some advantages over implementation on separate blocks.
Principals of digital system design debugging decomposition
Authors: Ivannikov Alexander 
Published: December 2022

Abstract
Up-to-date digital integrated circuits become more and more complicated. The amount of its elements increases enormously, sizes of the elements become very small. That is why the task of digital system design debugging becomes more and more complicated. So, digital system design debugging decomposition is required. In the paper design debugging decomposition by simulation is considered. The classification of debugging decomposition methods and its algebraic models are presented. The following decomposition methods are described: vertical and horizontal structure decomposition, functional decomposition, decomposition based on error types.
Ways of deactivation of the electron excitation energy of arylethylenes and arylpolyenes in solutions
Authors: Astanov Salih 
Published: December 2022

Abstract
Experimentally and quantum chemical calculations have established that the main ways of deactivation of the electron excitation energy for 4,4′-substituted AE with electronic acceptor derivatives are, along with trans–sic and isomerization, the transition of an electron from a singlet excited state to the ground state with fluorescent radiation. For molecules with electrodonor substituents, an intercombination S-T electron transition occurs with the observation of phosphorescent radiation. It was found that an increase in the number of ethylene bonds in the structure of aryl-polyene processes without radiative internal conversion deactivation of energy.
Application of data correlation analysis in the problem of emulation of spacecraft sensors
Authors: Shishkin O G , Khachumov V M , Emelyanova Yu G 
Published: December 2022

Abstract
The article deals with the issues of building an emulator of a failed sensor, which is necessary to maintain the life cycle of a small spacecraft. Such an emulator is proposed to be built on the basis of a stable correlation of its data with data from other spacecraft sensors. On the basis of the performed studies, estimates of the root-mean-square deviation of the restored telemetry data from the reference values were obtained. It is shown that the proposed approach provides real-time data recovery with acceptable accuracy.
Systems monitoring based on robust estimation of stochastic time series models
Authors: Tyrsin A N , Golovanov O A 
Published: December 2022

Abstract
The problem of system monitoring under conditions of stochastic data heterogeneity based on time series models is considered. The stability of monitoring is proposed to be ensured through the use of convex-concave loss functions. An algorithm for estimating the variance of the main error distribution is proposed. This allows using robust procedures for estimating the parameters of stochastic time series models without a priori information about the variance value of the main error distribution. Using the Monte Carlo statistical test method, the estimates of the proposed robust methods are compared with the known methods of least squares, least modules, and Huber. It is shown that the introduced robust estimates of the parameters of stochastic models of time series win in accuracy and allow increasing the reliability of monitoring the state of systems.
Predictive state analytics of gas pumping units
Authors: Krasnov A N , Prakhova M Yu 
Published: December 2022

Abstract
Diagnostics of the technical condition of equipment is an important factor in the efficiency of any production. This fully applies to the oil and gas industry with its huge fleet of pumping and compressor equipment, the downtime and repair of which, as a result of any accidents, causes significant damage to enterprises. The development of digital technologies, such as Big Data, IIoT, and machine learning makes it possible to move on to the so-called predictive or predictive analytics, which makes it possible, based on the analysis of trends in a large number of variables, in real time to predict the possible onset of an emergency. The article considers the possibility of building a local system of predictive analytics for a gas compressor unit based on the analysis of its behavior before the accident, during the accident and after it. The predictive analytics system (PSA) was built based on the real data of the unit, on which surge occurred due to fatigue failure of the high-pressure compressor elements. The evaluation of the resulting model showed its high accuracy even under conditions of a limited set of initial data. The use of such systems makes it possible to avoid accidents that occur as a result of a change in the technical condition of the equipment and are absent, in connection with this, in emergency protection scenarios.
Correlation analysis of the results of remote sensing of the atmosphere by a three-band microwave radiometric system
Authors: Fedoseeva E V , Rostokin I N , Shchukin G G , Kholodov I Yu 
Published: December 2022

Abstract
The results of the correlation analysis of the data of measurements of radio-thermal radiation of heterogeneous atmosphere with precipitation by the three-band microwave radiometric system with reception along one direction to the common aperture of the mirror antenna at three frequencies 7.5 GHz, 10 GHz, 22 GHz are presented. Correlation coefficients of output signals of all receiving channels of the system with the results of measurements of meteorological parameters - temperature, intensity of precipitation, humidity of the surface layer of the atmosphere, obtained from the meteorological stations of five cities, nearest to the location of the measuring microwave radiometric complex are calculated. The dependence of measurement results with and without compensation for the influence of external influences at different frequencies on the degree of homogeneity of meteorological parameters of the atmosphere and on the presence of local inhomogeneities in the atmosphere and their remoteness from the location of the measuring microwave radiometric complex is shown.
Mathematical model of a valve converter based on a parallel current inverter with an adjustable output voltage of an improved form
Authors: Umarov Shukhrat , Sapaev Khushnud 
Published: December 2022

Abstract
The results of development of mathematical model and structural diagram of transient processes calculation algorithm of the valve converter based on single-phase current inverter, operating both in continuous and intermittent mode of input current are given in the article. Mathematical model of DC-AC valve converter with adjustable output voltage on the basis of parallel autonomous current inverter with inductive-thyristor compensating device is made on the basis of the operator method. Instead of traditional approach related to making operator substitution diagram for each possible state of power circuit proposed to use universal substitution diagrams equivalent to several states of the power circuit involved in the development of electromagnetic processes. Analysis of possible power circuit structures, which can participate in development of transient processes has shown that six power circuit structures participate in formation of process, which can be brought to two universal operator substitution diagrams. Application of universal replacement schemes, preserving advantages of the operator method, makes it possible to reduce the size of the model, reduce the required volume and time of calculations, allows to perform necessary calculations of circuit parameters in a wide range, taking into account the excitation and regulation method and to carry out the appropriate selection of elements as a result. The proposed structural diagram of algorithm of calculation of transient process is made on the basis of performance of boundary conditions of stages of development of process and revealing of sequence of change of types of equivalent circuits on intervals of clocking. The algorithm allows making calculation of transients at change of an input voltage of the inverter, at change of loading, and also at simultaneous change of an input voltage and loading. The developed mathematical model and algorithm provide the procedure of parametric synthesis of inverter elements with high accuracy.
Simulation of dynamic processes when a soil-throwing drum meets an obstacle
Authors: Gnusov Maksim A , Drapaluk Michael V , Druchinin Denis Yu , Lysych Michael N , Pozdnyakov Evgeniy V , Petkov Alexander F 
Published: December 2022

Abstract
The problem of combating forest fires is very relevant to this day. The development of machines designed to extinguish and prevent uncontrolled forest fires, especially in waterless areas, is the most important area of scientific research. The article presents scientific research on simulation modeling of the interaction of a soil-marking drum with obstacles of two types: stones and logging residues. For the study, a simulation method was used in the 3D-CAD environment of the SolidWorks Simulation system, which made it possible to conduct a virtual experiment of a solid model and determine the behavior under static and dynamic loads that occur in emergency situations. The purpose of the work was to develop a 3D model of a soil-throwing drum machine for extinguishing and preventing forest fires to conduct simulation studies on a virtual stand to determine the dynamic loads in contact with obstacles of the soil-throwing drum blades based on the created solid model. For the process of studying the soil-marking drum when encountering obstacles in the form of logging residues and stony inclusions, an imitation virtual stand was created. The paper presents the results of the analysis of data obtained on the basis of simulation modeling.
Sliding bearings with lead-bismuth liquid metal lubrication
Authors: Roshchin M N 
Published: December 2022

Abstract
The article presents the results of tribological tests of a thrust bearing made of steel-bronze materials when lubricated with a lead-bismuth metal melt under conditions of heating up to 500°C. The influence of steel-bronze on the coefficient of friction in the ranges of load 0.17–1.0 MPa, velocity 0.05–0.23 m/s, and temperature 250–500°C was studied. It has been established that the tribological properties of friction pairs under experimental conditions mainly depend on temperature, which determines the wetting angle and the viscosity of the metal melt. With an increase in the temperature of the melt above 300°C, the viscosity of the melt decreases, and the liquid metal lubricant is squeezed out of the actual contact areas.
Study of the passive method of induced polarization at the copper deposit “Zhaman-Aibat”
Authors: Belolipetskii P V , Potylitsyn V S , Shajdurov G Y , Maykov O A , Kokhonkova E A , Krasnov T V , Dashkova A K 
Published: December 2022

Abstract
The article presents data from field experimental observations using the passive method of induced polarization, at the Zhomart mine (Zhaman-Aibat deposit, Republic of Kazakhstan) on September 7-8, 2021. Profiling was carried out with a step of 50 meters, non-polarizing electrodes of the “VITR” brand were used as electrodes. The signals were recorded using a specialized precision 24-bit analog-to-digital converter. In the course of field observations, a profile characteristic was obtained in terms of the induced polarization parameter. An analysis of the profiling graph shows that the obtained profile characteristic marks the presence of an ore body with two peaks with values of 0.35 and 0.32, which, when using a three-electrode differential setup, indicates the presence of polarization anomaly boundaries. Thus, the passive method of induced polarization makes it possible to register ore anomalies down to a depth of 600 m and makes it possible to detect copper-bearing ores.
Making amendments to CNC machines in order to improve manufacturing accuracy
Authors: Kiseleva A I , Barbashov N N 
Published: December 2022

Abstract
New methods are needed to be developed to improve the accuracy of equipment, due to the fact that requirements for the accuracy of products with complex configurations manufactured on CNC machines have increased and it is necessary to reduce metal consumption in their production. One of the ways is to purposefully influence the process of equipment development: designing a rational layout of the machine, choosing modern materials, precise manufacturing of components. The method is effective, but it is associated with high economic costs. Currently, mathematical and statistical methods of quality management at an industrial enterprise are becoming increasingly widespread. The possibility of forming a conclusion about the total set of manufactured products based on several observed in the sample is important for the continuation of the production process and compliance with the specified quality criteria. Statistical regulation of this characteristic is the current control over production and the prevention of defects by timely intervention in the technological process.
Modeling the influence of heat sinks on the structure of the temperature field of a profile heat pipe
Authors: Petrov D A , Karachinov V A 
Published: December 2022

Abstract
Within the framework of a computer experiment using the finite element method, a technique has been developed graphical representation the structure of the temperature field of a heat pipe with active-type defects - heat energy sink, localized in the body between the ribs. It is shown that when the pipe start-up mode is implemented and certain heat energy sink power, a typical isotherm shape with a concave front is formed. The passage by the isotherm heat energy sink of a round form is accompanied by the formation of a local isothermal circuit. Significant variability of the shape of the isotherms is noted.