bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of an efficient parametric algorithm for optimal scheduling on parallel machines with release dates
Authors: Mezentsev Y A , Estraykh I V , Chubko N Y 
Published: November 2019

Abstract
An original statement and solution algorithms are presented for one of the key problems in the scheduling theory. The problem of optimal scheduling for a parallel system consists in the generation or control of schedules to minimize the schedule length or the losses from schedule disruptions in the completion of jobs on machines. This problem is NP-hard and cannot be solved exactly for any real-life number of dimensions. A series of modifications of the efficient parametric algorithm is proposed to find an approximate solution, which are an extension of a similar algorithm for optimal scheduling on unrelated parallel machines with release dates using the performance criterion (Stakh). Software implementations of the algorithm modifications have been tested on the data of a generating problem by the Stakh criterion; the corresponding statistics is provided.
Prospects for the creation of an optical-mechanical unit for a high-resolution nanolithograph
Authors: Kiryanov A V , Kiryanov V P , Homutov V N , Shimanskii R V 
Published: November 2019

Abstract
In this paper the proposals for solution of problems related to the creation of an optical-mechanical unit of promising models of a high-resolution laser nanolithograph are considered. The approaches to the implementation of the rotation module and of the linear displacement carriage of the recording head are considered aimed at reducing the temperature distortion of the synthesized element topology including due to the observance of the principle of symmetry of the nanolithograph main elements location and the points of application of the forces of its actuators relative to the main plane of the installation. The feasibility of creating a two-channel version of a nanolithograph that makes it possible to compensate in real time (while the substrate rotates) the resulting temperature distortions of the topology generated by external and internal heat sources is discussed. It is shown that the usage in the two-channel version of a nanolithograph of the differential-type laser interferometers allows reducing the distortions of the formed element topology up to tenths of a nanometer.
Methods of protecting radio-electronic control systems from powerful electromagnetic interference
Authors: Kharlanov A I , Kramar V A 
Published: November 2019

Abstract
An analysis of methods of protecting control system equipment from powerful electromagnetic interference was done. The nature of possible damages of radio-electronic components under negative influence of electromagnetic fields was considered. All methods of protection against powerful electromagnetic interferences can were divided into three groups: structural, sheet-oriented and structurally functional. The most effective protection measures aimed at preventing possible damages were determined. The purpose of the paper was to consider thoroughly each of the existing methods aimed at increasing the resistance of radio electronic system to negative impact of powerful electromagnetic interferences.
Time series prediction using the adaptive resonance theory algorithm ART-2
Authors: Gavrilov A V , Alsova O K 
Published: November 2019

Abstract
The algorithm of the adaptive resonant theory ART-2 is based on the ideas of dynamic clustering and the unsupervised learning model. The classic application of the ART-2 algorithm is related to the solution of pattern recognition problems in the framework of the neural network approach. The article proposes a modification of the adaptive resonance theory ART-2 as applied to the solution of the time series (TS) prediction problem. A description of the TS forecasting algorithm based on ART-2, its properties and application features, as well as the results of a study of TS free electricity prices of the “day-ahead market” (DAM) in Russia is here. The obtained results allow us to conclude about the prospects of using ART-2 to study the structure and prediction of TS with a periodic (seasonal) component.
Numerical simulation of oil formation with regulated disturbances. Oil recovery quality simulation
Authors: Batalov S A , Andreev V E , Lobankov V M , Mukhametshin V Sh 
Published: November 2019

Abstract
The article discusses the method of numerical modeling of a functioning reservoir based on the oil recovery hydromechanics model in the hyperbolic Cauchy problem. Optimization results for reservoir formation channels (RFC) modeling reveal integer values of new models with linear parameters of hydro-resistance, piezo capacitances and piezo inductances in the dimensionless values. The solution result is an effective tool for current prediction of filtration capacity properties (FCP) of the reservoir in the elastic water-pressure mode. The deduced numerical simulation methods based on long-term reactive RFC resistances make it possible to specify the limits of quality of oil displacement with controlled excitations at its coordinate-discontinuous controls.
Simulation of formation fluid withdrawal hydrodynamics using a downhole jet pump when studying the productive formation while well drilling
Authors: Ermolenko F I , Minnivaleev T N 
Published: November 2019

Abstract
The article discusses hydrodynamics of the reservoir fluid withdrawal from the promising drilled formation interval with the use of a jet pump installed in the internal cavity of the drill pipe string in the wellbore bottom-hole part. The hydrodynamic problem of fluid production is solved. The solution connects the dynamics of injected, recoverable and upward flows of the circulating system.
The optimal estimation of parameters of models of controlled stochastic systems based on the experiment design
Authors: Denisov V I , Chubich V M , Filippova E V 
Published: November 2019

Abstract
The procedure of active identification, which is resistant to the appearance of anomalous observations, includes robust estimation of unknown parameters and optimal design of input signals for models of non-stationary linear discrete systems is proposed. The general case of the entry of unknown parameters into the equations of state and observation, the initial condition and the covariance noise matrix of the system is considered. Using the developed software, the efficiency of this procedure is demonstrated by the example of a direct current motor control system.
Processing of the ECG orthogonal band-pass filter with the subsequent transfer in the phase plane
Authors: Grishanovich Y V , Potekhin D S 
Published: November 2019

Abstract
One of the methods of diagnosis and recognition of cardiovascular diseases is electrocardiography. The current state of diagnosis of cardiovascular diseases requires the development of new approaches to the analysis of electrocardiograms, there is a need to create new algorithms for processing information received from patients as a result of ECG removal. In this paper, it is proposed to use a band-pass orthogonal digital filter based on the Morlet wavelet function for processing electrocardiograms, which is not sensitive to the constant displacement of the input signal, does not have the Gibbs effect, which provides a better level of suppression in the barrier band obtained using the Fourier transform, followed by its transfer to the phase plane. The phase plane has found application in medicine for increase of reliability of the analysis and interpretation of an electrocardiogram for the purpose of increase of informativeness of cardiograms.
On discrete groups and solvable equations of nonlinear oscillations
Authors: Khakimova Z N 
Published: November 2019

Abstract
The autonomous ordinary differential equation of Lienard is considered. This equation and its generalizations arise in the theory of nonlinear oscillations, dynamical systems, etc. Currently for equations of the Lienard type, the problem of finding exact solutions is relevant. In view of this, the problem is to find connections in Lienard type equations with investigated nonlinear equations. These problems are solved in this article for the Lienard equation with three-parametrical coefficients of polynomial type. We found a transformation that reduces the equation under consideration of the well-studied generalized Emden-Fowler equation. We indicated the method of finding exact solutions of Lienard equations with various parameters. The transformations discrete group of dihedron for the class of generalized Emden-Fauler equations induces a discrete group of transformations for the corresponding class of Lienard equations. Likewise, known solutions of some particular generalized Emden-Fauler equations induce solutions of the Lienard equations. As examples, we found exact solutions in elementary (including polynomials) and special functions of several Lienard equations with certain parameters.
Ontological approach of designing a multi-agent behaviour model in the internet environment
Authors: Kravchenko Yu A , Kursitys I O , Kravchenko D Yu 
Published: November 2019

Abstract
The paper deals with design of the model of the subsystem of environment assessment (SEA). The authors develop the ontological approach of building of the model of the subsystem, which is considered as one of the main subsystems of community organization of intelligent agents working in the integrated information environments. The approach is based on distribution of invariant aspects of building of the SEA as a multi-level architecture of semantic relations between actors, passive entities (objects) and knowledge which depends on the subject area and describes the intelligent agents’ operational environment and target use.
The study of the logical mode of function choice of digital protection on the railway control
Authors: Kuznetsov S M , Dmitriyeva E A , Avetisyan B R , Markova S V , Avetisyan K R 
Published: November 2019

Abstract
The article analyzes the existing protection systems for the traction substation-traction network –electric stock system, including digital terminals having several levels of digital protection used in the Russian Federation. Their vulnerabilities were described. Based on the analysis, a protection system responding to a number of signs of the transition process and having a built-in logic function used to select a mode was developed.
Development of specialized algorithm and hardware implementation for calculation of value of truncated convolution of polynomials over Galois field
Authors: Rahman P A 
Published: November 2019

Abstract
This scientific paper deals with an algorithm for calculation of the truncated convolution of polynomials over the Galois field GF(pm
). Calculation of the truncated convolution of polynomials is a key part of the information frame decoding algorithm on application of the Reed-Solomon codes in the noise protected data transmission and storage systems. Within the scientific paper, the definitions of polynomial and truncated convolution of the polynomials over the Galois field GF(pm
) are also overviewed. Finally, the author offers a specialized algorithm for calculation of the value of the truncated convolution of polynomials over the Galois Field GF(pm
) with a given argument. Its hardware implementation for the binary Galois field GF(2
m
) is also presented.
The influence of algorithms for tuning the parameters of neuromorphic systems on their fault tolerance
Authors: Danilin S N , Shchanikov S A , Bordanov I A , Zuev A D 
Published: November 2019

Abstract
This article describes the influence of algorithms for tuning the parameters of neuromorphic systems on their fault tolerance. This is relevant to the hardware implementation of neuromorphic systems using memristors (NSM). The study is conducted using the authors developed a variant of the system approach and methods of simulation of artificial neural networks (ANN). By the example of a multilayer perceptron, it is shown that different ANN learning algorithms in the nominal mode of operation make it possible to achieve similar values of the operation accuracy. But due to the influence of production and operational factors in real conditions of operation, the ANN may fail. The range of allowable values of the destabilizing factors on ANN operation depends on the learning algorithm and may differ several times.
Compensator models based on block-oriented neural networks
Authors: Solovyeva E B 
Published: November 2019

Abstract
Block-oriented neural networks represented as a cascade structure of linear dynamic circuits and inertialess nonlinearities are used for the non-linear compensator synthesis. The behavioral models of these neural networks describe the mapping of the set of input signals into the set of output signals. A block-oriented architecture is convenient for building the compensator structure inverse to the structure of the distorting system. Under the stated approach, the compensator model is simpler than universal models, for instance, the Volterra series. This fact is demonstrated when modelling a non-linear compensator based on the neural Hammerstein network. This compensator is applied for the suppression of non-linear distortion in the digital communication channel described by the Wiener model.
A Monte Carlo investigation of one approach to prioritization for a large number of software requirements
Authors: Timofeeva A Yu , Murtazina M Sh 
Published: November 2019

Abstract
The paper presents an approach to prioritization for a large number of software requirements. It selects certain requirements as benchmarks. The selection is based on the analysis of a pairwise comparison matrix. Several selection rules are proposed. A Monte Carlo simulation was conducted to study the effects of the benchmark selection rules on rank correlation between true and estimated priorities. The results of the simulation suggest that the best way to select one benchmark is the rule based on the most consistent judgements independent of experimental conditions. Several benchmarks must be chosen in another way. This problem will be the subject of future research.
Algorithm diversity metric for N-version software
Authors: Gruzenkin D V , Yakimov I A , Kuznetsov A S , Tsarev R Yu , Grishina G V , Pupkov A N , Bystrova N V 
Published: November 2019

Abstract
Software reliability and fault tolerance are in the list of the primary importance tasks to be solved in industrial applications. N-version programming is one of the approaches contributing to the solution. This approach implies the realization of a set of software modules versions. The effectiveness of the approach is obtained by the modules versions diversification: the higher the diversification than higher the reliability. The subject matter of the article is the difference between the software modules versions at the level of algorithms, i.e. the version diversification. The hypothesis about the quantitative metric that defines the differences between programs is verified by the experiment results. The experiment was dedicated to the analysis of several realizations of program algorithms for inner sorting of numerical arrays. There was an execution trace for each algorithm and it reflected the way of algorithm operation in multidimensional space. The analysis that was held on the basis of the suggested concept about the obtained execution traces of implemented algorithms discovers both the differences between algorithms and the similarities between the modifications of the same algorithm.
Fuzzy voting algorithms for N-version software
Authors: Tsarev R Y , Durmuş M S , Üstoglu I , Morozov V A , Pupkov A N 
Published: November 2019

Abstract
The choice of the voting algorithm in N-version programming directly affects the evaluation of the results of N software versions and determines the correct result. The result of the voting algorithm is also the outcome of the N-version software. Therefore, the choice of the voting algorithm is vital. However, many voting algorithms were already developed and they may be selected for implementation, based on the specifics of the analysis of input data of these algorithms. This article presents a brief overview of major fuzzy voting algorithms.
Simulation modeling in the process of loading the machine and tractor fleet
Authors: Tsybina Y S , Aletdinova A A 
Published: November 2019

Abstract
The article describes the use of simulation modeling as a method to increase the efficiency of the formation of the machine and tractor fleet (MTF). The advantages of the use of simulation modeling in combination with traditional approaches to the formation of the MTF are presented. A model of verification of the production plan of an agricultural enterprise has been formed taking into account the use of simulation modeling. The place and role, conceptual requirements, an interaction overview diagram have been determined and basic parameters of the simulation model have been identified which satisfy the process under study. The simulation model can be used both as an independent program module and as part of software systems related to the management of the production resources of agricultural organizations.
Application of the non-stationary waterflooding technology and periodical operation of production wells for heterogeneously permeable reservoirs
Authors: Almukhametova E M 
Published: November 2019

Abstract
Application of the non-stationary waterflooding technology at the Kumkol field (the Republic of Kazakhstan) had a number of unsolved problems. The main problem is correct selection of parameters for the non-vascular flooding technology - an amplitude and a cycling impact frequency. The amplitude of impact is determined by the capabilities of the reservoir pressure maintenance system (RPM) and the ability of the reservoir to absorb large volumes of water. The impact frequency is a more unstable parameter depending on the structure of the reservoir and saturation of heterogeneous fluids. For the Kumkol field conditions, the void reservoir space has a complex multi-level structure. There are pore reservoirs with different permeability rates, highly permeable layers located over the deposits, filtration channels with very high permeability (cracks, a super collector). In addition, there are three phases of reservoir fluids (oil, water, free gas). All this creates uncertainty in setting frequency parameters of the non-stationary waterflooding method. The article deals with the issue of determining frequencies of impact.
Algorithm to distribute feed pulp between paralleled thickeners during red-sludge thickening and washing in alumina production
Authors: Fedorova E R , Vasileva N V , Pupysheva E A 
Published: November 2019

Abstract
Distributing the red-sludge flow between paralleled thickeners is a relevant problem for controlling the process of thickening and washing the alumina sludge. Sludge sticks to thickener walls and rakes in operation, which reduces the effective volume of the machine and puts a greater strain on the rakes; raising the rakes is necessary to avoid breaking the stirrer, but this reduces the compacting rate of the thickened product. Redistributing the feed pulp between thickeners over the course of their gradual uneven contamination might solve the problem of the thickened product being under-compacted in the thickening-washing line. There are patents that address this issue; however, they only describe semiautomatic approaches. The problem has been covered to a great extent by Russian scientists and engineers such as M V Levin, T B Potapova, V V Aleksandrov, T G Milberger, P F Minin, I M Fain, R M Khamidov, as well as by the following institutions: All-Union Research and Development Institute of Aluminum, Magnesium, and Electrode Industries, Pikalevo Alumina Plant, Pavlodar Aluminum Plant. The paper describes the algorithm of an artificial immune system for redistributing the red-sludge flow in alumina production between paralleled thickeners.
Controlling the temperatures during the calcination of aluminum hydroxide in rotary kilns
Authors: Nikolaev A N 
Published: November 2019

Abstract
Processing 4.1 to 4.2 tons of nepheline concentrate mixed with limestone produces 1 t of alumina, 0.8 t of sodium carbonate, 0.3 t of potash, and 10 tons of cement. The costs of producing these from nepheline are significantly lower than the costs of individual production from conventional raw materials by conventional technology. Unlike the traditional ammonia-based method, the nepheline technology of producing soda ash is environmentally friendly and does not require costly sludge fields. Using belite sludge as the raw material for making cement improves the performance of kilns and reduces the fuel consumption by over 40% compared to the conventional technology. Making alumina with a specific content of α-Al2O3 and γ-Al2O3 requires an automated process control system (APCS). In an industrial setting, only automatic controls enable maintaining a technologically healthy process. This paper presents a summary of the aluminum hydroxide calcination process that occurs in tubular rotary kilns. The research team has synthesized a dynamic control object model to plot curves of the target-parameter acceleration as induced by stepwise disturbances in air flow, charge flow, and fuel flow in order to compute the basic dynamic characteristics of the control object. A control parameter has been selected for the prospective single-loop control system. On the basis of the obtained characteristics, the research team has selected a controller for their single-loop kiln temperature stabilization system. The paper presents curves of the control-channel and disturbance-channel transients in the target parameter
Microoptoelectromechanical ring angular velocity transducer based on the optical tunnel effect for control system of mobile objects
Authors: Busurin V I , Win Yin Naing 
Published: November 2019

Abstract
In this article, the influence of the ring resonator parameters on the characteristics of the angular velocity transducer based on the optical tunneling effect (OTE) is investigated and model is introduced. The sensitivity of the module based on the optical tunneling effect is calculated to provide a quasi-linear range. The analysis of influence of linear acceleration on the ring angular velocity transducer based on the OTE is described. The compensation of the linear acceleration effect by using the differential processing method and switching, which provide the measurement of angular velocities with high accuracy for the entire measurement range, is described.
The control system for a mobile robot using Arduino mega 2560 with GPS and obstacle detection systems
Authors: Cherepanov P Y , Romanov P A , Zharikov S V , Mazhitov T R 
Published: November 2019

Abstract
This research shows the implemented software and hardware solutions of the remote control systems for a robotic vehicle. This paper partially solves the problem of rapid prototyping and debugging of motion algorithms of the robotic vehicle. The composition and brief characteristics of the main components used in this system are also given in this paper. The methods (the programming languages that were used to create the software of this vehicle) are also described in this research. The results and the basic goals for the further modernization of this vehicle are also given in this paper. Main conclusions also described in this paper.