bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of the Drell-Yan process with the pair-production of polarized tau leptons in collisions of polarized proton beams
Authors: Aleshko A. , Boos E. , Bunichev V.
Published: November 2019

The new method for studying polarized parton distribution functions via the Drell-Yan process with tau production is proposed. The hadronic decay of tau to single charged pi-meson and neutrino is utilised for determination of the polarization state of the tau-lepton. The key feature of our approach is that we do not sum over the polarizations states of tau, but preserve this information through energies ofpions produced in corresponding decays. The new method in addition to existing ones should improve the accuracy of measurements of polarized structure functions of hadrons. In the current work, the feasibility of such an approach is assessed through numerical simulations.
Entanglement entropy in strongly correlated systems with confinement/deconfinement phase transition and anisotropy
Authors: Slepov Pavel
Published: November 2019

Five-dimensional anisotropic gravity with nontrivial dilaton field and two Maxwell fields is chosen for the holographic model, which allows to reproduce the multiplicity dependence on energy obtained from heavy-ions collisions [1, 2]. Holographic entanglement entropy and its density are calculated for three-dimensional subsystems in this anisotropic background. These elongated subsystems have arbitrary spatial orientation in relation to the line of heavy-ions collisions. The divergences of holographic entanglement entropy are discussed. The entanglement entropy density has sharp spikes around the critical temperature for given chemical potential and anisotropy.
Knowledge and skills changes to accreditation herald pedagogical transformation in the UK
Authors: Sands David
Published: November 2019

The Institute of Physics in London is changing the way it accredits degrees, which could have far-reaching consequences for the way physics is taught and assessed. Degree accreditation serves two purposes. First, it is the mechanism by which the Institute fulfils its commitment under its Royal Charter to uphold standards in physics education, and secondly, it provides a crucial step toward professional recognition for graduates.
Multiple objective optimization Applied to Speech enhancement problem
Authors: Ouznadji Said , Chaabane Djamal , Thameri Messaoud
Published: November 2019

Enhancement of speech corrupted by broadband noise is subject of interest in many applications. For several years, the investigation of methods of denoising the vocal signal has yielded very satisfactory results, but certain problems and questions still remain. The term speech quality in speech enhancement is associated with clarity and intelligibility. So, one of these issues is to reach a compromise between noise reduction, signal distortion and musical noise. In this paper, we studied one of the classical techniques based on the spectral subtraction developed by Boll and improved by Berouti where two parametersαandβto control the effects of the distortion and the musical noise are introduced. However, the choice on these parameters (αandβ) remains empirical. Our works is to find a compromise between these two parameters to obtain an optimal solution depending on the environment, the unknown noise and its level. Moreover, we propose in this paper, an algorithm based on bi-objective approach precisely Particle Swarm Optimization (PSO) technique in association with speech enhancement technique proposed by Beroutiet al.Comparative results show that the performance of our proposed method with several types of noise, depending on the environment and on various noise levels, are better than those of spectral subtraction methods of Boll or Berouti.
Magnetic properties of MnBi bulk magnets with NaCl and C addition
Authors: Qian Hui-Dong , Park Jihoon , Lim Jung Tae , Yang Yang , Si Ping-Zhan , Kim Jong-Woo , Choi Chul-Jin , Cho Kyung Mox
Published: November 2019

Nonmagnetic phase assisted low temperature phase MnBi bulk magnetic materials, i.e., MnBi/NaCl and MnBi/C magnets, were fabricated by hot pressing mixtures of MnBi and NaCl or C powders. The effects of nonmagnetic NaCl or C on the magnetic and physical properties of the MnBi bulks were investigated in detail. Identifications of phase stability and decomposition rate during the mixing and hot pressing processes were analyzed using the Rietveld refinement method. It was found that the coercivities (Hc) of the bulk magnets significantly increase with increasing content of NaCl or C: Hc of the MnBi bulks with NaCl of 5 wt. % and C of 5 wt. % reach 9041 Oe and 7054 Oe, respectively, which are higher than the pure MnBi bulk of 6272 Oe. This means that the addition of a small amount of NaCl and C in the MnBi bulks could be one of the promising routes to enhance their magnetic properties.
Exploitation of missing linker in Zr-based metal-organic framework as the catalyst support for selective oxidation of benzyl alcohol
Authors: Jumpathong Watthanachai , Pila Taweesak , Lekjing Yuwanda , Chirawatkul Prae , Boekfa Bundet , Horike Satoshi , Kongpatpanich Kanokwan
Published: November 2019

Extensive studies have been done on the modification of the organic linkers with different functional groups for ameliorating the properties of Zr-based metal-organic frameworks (MOFs). In contrast, little effort has been devoted to Zr MOF modification at the –OH group arising from the incomplete coordination of Zr with the organic linkers. We focused on covalently immobilizing redox-active iron to the –OH group in the node of a Zr-based MOF for selective oxidation of benzyl alcohol to benzaldehyde, which is an important reaction in organic synthesis, pharmaceutical, and industrial areas. In this work, iron acetylacetonate was incorporated into Zr6(μ3-O)4(μ3-OH)4(HCOO)6(1,3,5-benzenetricarboxylate)2 or MOF-808. The air-stable Fe-anchored MOF-808 (Fe-MOF-808) was subjected to screening for the selective oxidation of benzyl alcohol to benzaldehyde. Fe-MOF-808 showed enhanced conversion and selectivity to benzaldehyde as well as catalytically outperforming the pristine MOF-808 in the reaction. The prepared solid catalyst also displayed the robustness without the leaching of the active site during the reaction, along with at least four-time recyclability of use without significant deactivation.
A Yezidi Manuscript:—Mišūr of P’īr Sīnī Bahrī/P’īr Sīnī Dārānī, Its Study and Critical Analysis
Authors: Pirbari Dimitri , Mossaki Nodar , Yezdin Mirza Sileman
Published: November 2019

Yezidimišūrsare one of the rarest written sources on the history and religion of the Yezidis. The special value ofmišūrsis that Yezidism is characterized mainly by the oral transmission of religious tradition. The article provides an overview and a description of the four versions of Mišūr of P’īr Sīnī Bahrī/P’īr Sīnī Dārānī (Mişûr of Pîr Sînî Behrî/Pîr Sînî Daranî), one of which is thought to be produced in 604/1207 or 1208, making it one of the earliest sources of Yezidi history and religion. A collaborative version of the document is presented based on these four versions. Yezidimišūrsbelong to certain lineages of P’īrs and represent certificates of recognition of those lineages and those Yezidi tribes that were attributed to them as Murids. The manuscript that is examined here is rich in historical data related to the establishment of the Yezidi community. The document also lists the tribes that today are not Yezidi. Furthermore, themišūridentifies a number of previously unknown followers and associates of Sheikh ‘Adi. This data will be instrumental in identifying various features of Yezidism in its formative age.
Evaluation of ccomputational complexity and shortcomings of non-binary low density decoding algorithms
Authors: Glotov V V , Bashkirov A V , Astakhov N V , Pirogov A A , Panychev S N
Published: November 2019

Operational requirements for processing, receiving and transmitting digital information devices constantly increase, due to the need to attract significant resources, especially intellectual. This is caused by the necessity to perform the tasks that are aimed at improving the efficiency of tools, methods and specific algorithms that implement processing, receiving and transmitting information technologies. One of the most dynamically developing approaches for solving the above problem is the coding theory, in particular noise-resistant coding. As far as the energy costs are concerned, the most effective noise-resistant codes are turbo codes and the codes with a low density of parity checks. The paper reviews the algorithms that allow the decoding of non-binary codes with a low density of parity, as well as the distribution algorithm and its modifications. Their significant drawbacks and major modifications applied to eliminate them are briefly overviewed in the paper; estimates of the computational complexity of the algorithms are given.
Calculation of data processing time for an acyclic wavefront array processor
Authors: Khusainov A A
Published: November 2019

The wavefront array processor is a systolic structure that implements the principle of data flow control. The paper is devoted to methods for calculating the performance of an acyclic wavefront array processor. Data processing is gradient if at each moment of time all operations for which their input data are ready should be performed. It has been established that gradient processing has minimal time. A graph with weighted vertices is constructed, the maximum path length is equal to the processing time of a given amount of data for an acyclic wavefront array processor. An algorithm for the calculation the processing time of a given amount of data by this processor is proposed. The results can be used to calculate performance in the development of processors, co-processors, multi-threaded cloud applications implementing business processes, as well as non-linear pipelines associated with mass production.
About the features of the verification of VLSI class “System on a chip” for complex information systems
Authors: Petrov A B , Tarasov I E
Published: November 2019

The article discusses the hierarchical levels of the verification process for VLSI of the System-on-Chipclass, as well as information systems built on their basis. The increasing complexity of modern information systems creates additional requirements for the composition and complexity of the verification of such systems, including the early stages of their development. An approach to verification is proposed using a combination of software tools for modeling digital circuits at the lower levels of abstraction and specialized verification tools developed for a specific information system and implementing verification primarily at the system level. The proposed approach will enhance the performance of VLSI modeling of the System-on-Chip class, which will improve the reliability of verification of complex systems by improving test coverage. It is noted that when connecting mutually asynchronous fragments of VLSI it is necessary to carry out modeling at a high level, able to identify problems of data transmission between individual synchronous subsystems.
Obtaining a behavioral model for evaluating the definition of significant moments of the digital signal from perfect provisions in time
Authors: Pirogov A A , Bashkirov A V , Bobylkin I S , Muratov A V , Glotov V V
Published: November 2019

The increasing complexity of the systems-on-a-chip, as well as their raising operating frequencies, leads to the more complex and accurate design of the systems for generating clock signals. In this case, it becomes important not only to define all the characteristics that directly affect the accuracy of the generated signals, but also the practical possibility of estimating them using computer simulation. The reason for this is that the numbers of systems, which require modeling, develop faster than the computing power of a data processor. This paper discusses the possibilities of analyzing clock generation systems to estimate the value of random noise. The development of data transmission interfaces seeksto increase the speed of information transmission, whereas this development is proceeding in several directions.Firstly, the increase in speed may be achieved refining modulation systems. Another way to increase the speed of information transfer is to change the data transfer protocol. However, the most effective method of increasing the data transfer rate for any interfaces is still to increase the transmission frequency, i.e. reducing the duration of a single interval, which leads to stricter requirements for both the transmitter and the receiver involved in the physical implementation of the data transfer interface (PHY).
A device for paired zeroing of numbers in a residue system
Authors: Selivanova M V , Tyncherov K T , Ikhsanova F A , Kalmykov I A , Olenev A A
Published: November 2019

The paper studies the problem of developing a high-speed number correction device in computing systems operating in the basis of non-positional arithmetic in residual classes. The topicality of the problem is necessitated by the search of solutions allowing reducing the time for digital processing of signals in non-positional neuroprocessors. The device allows correcting errors with single and multiple control bases of the residue system. The work presents the structure of the unit that realizes the paired zeroing on numbers in the system of residual classes. It was demonstrated that the suggested solutions allow appreciably reducing the time consumption by digital processing of signals in neuroprocessors destined for operations of summation and multiplication.
Architectures of high-performance VLSI for custom computing systems
Authors: Tarasov I E
Published: November 2019

The article deals with the design of specialized VLSI designed for the construction of high-performance computing systems. Common options for building such systems are general-purpose processors (CPUs), graphics accelerators (GPUs) that work in the mode of general-purpose computing acceleration, and FPGAs that are configured to implement a specific task or a narrow class of tasks. If there is a demanded class of tasks with specific requirements for computing resources, it is possible to develop a specialized VLSI that is more effective than CPU and GPU in terms of the use of crystal resources, and more productive than FPGA due to the use of hardware-implemented connections instead of programmable cells and switched trace lines. Taking into account modern trends in microelectronics and existing technological lag from leading global manufacturers, an important role is played by the choice of VLSI architecture as well as the use of architectural and circuit design solutions that reduce technical risks and provide solutions to urgent problems for Russian companies.
Numerical simulation and experimental investigation of heat transfer and flow structures around heated spherical bluff bodies
Authors: Abed A H , Shcheklein S E , Pakhaluev V M
Published: November 2019

The objective of this work is to evaluate the influence of vortices on heat transfer behaviour and a flow structure around a heated sphere. Numerical simulation and experimental verification are performed using a stationary copper sphere located inside a cylindrical channel with a constant channel-to-sphere diameter ratio. Numerical simulation is done for three-dimensional steady-state flow using ANSYS-FLUENT by solving the Reynolds-averaged Navier Stokes (RANS) equations. Over the test range of Reynolds numbers (2500-55000), CFD simulation results are in reasonable agreement with experimental data. The importance of vortices on heat transfer behaviour was investigated by taking the surface temperature and heat transfer coefficient (HTC) measurements around the sphere surface as a function of a zenith angle. The CFD simulation results confirmed that the impact of vortices on heat transfer behavior occurred in a lower-rear area of the sphere with a zenith angle (from 120° to 180°).
New statistical method for generating sequences of pseudo-random numbers
Authors: Denisov M A , Chzhan E A , Korneeva A A , Kukartsev V V , Tynchenko V S
Published: November 2019

The paper describes the algorithm of the precision generator (hereinafter the P-generator) of random variables. Its feature is the ability to reproduce samples of large and small amounts of data with high accuracy knowing only the type of distribution. The created program module, which is based on the algorithm described in the work, is capable of generating a sample according to four distribution laws: normal, exponential, Laplace and Pareto. The proposed statistical method is based on calculating the number of points using priori known density distribution formula of the selected law. Further generation of the found number of points is implemented using the built into C# programming language random numbers generator. Computational experiments, which are given in the work, demonstrate the accuracy of the algorithm and also allow one to conduct a comparative analysis with existing alternatives (such popular mathematical and statistical packages as Mathcad and Excel).
Statistical approach to building a model of recognition operators under conditions of high dimensionality of a feature space
Authors: Fazilov Sh Kh , Lutfullaev R A , Mirzaev N M , Mukhamadiev A Sh
Published: November 2019

The task of constructing recognition algorithms (RAs) focused on the classification of objects under conditions of high dimensionality of a feature space is considered. As an initial model, a model of RAs based on the calculation of estimates is considered. A distinctive feature of the proposed model is the formation of subsets of interrelated features (SIF) and the selection of a set of representative features (RFs) in the construction of RAs. Moreover, the proximity estimates between the object and the class under consideration are calculated on the basis of the Bayesian approach. The main advantage of the proposed operators is the allocation of preferred dependency models with the subsequent calculation of the assessment of the ownership of objects and ensuring a significant reduction in the number of computational operations when recognition unknown objects. This feature is very important for real-time recognition systems. To test the performance of the proposed model, experimental studies were carried out in solving a model problem. This model can be used in the compilation of various programs aimed at solving problems of forecasting and classifying objects defined in the space of features of large dimension.
Evaluation of components influence of fillers in building materials on their physical characteristics by means of computer data analysis
Authors: Garashchenko A A
Published: November 2019

The article presents an analysis of the dependence of the strength characteristics of new polymer-mineral composite building materials on the percentage of mineral filler components. The influence of the main components that are not included in the noncrystalline phase of the samples under study on the physical and mechanical properties of the materials under study was evaluated. The results showed that the use of substances with a high content of crystals with perfect splitting without crystals with imperfect splitting as fillers for a polymer composite could contribute to the production of building materials with high strength characteristics. These results can be used to assess the joint influence of components on both the physical characteristics already considered and others.
Application of the method of finite element analysis in studying the reliability of various options of fixation of models of human pelvic bones
Authors: Grin A A , Starikov A I , Kokorin I N , Yadryshnikov A I , Namyatov D S
Published: November 2019

Modern society is already unthinkable without computer-aided design systems, which are systems that implement information technology for performing design functions. These technologies are actively used in all branches of human activity, including in medicine [5]. It is known that the use of an external fixation device makes it possible to cure complex cases of fractures of human pelvic bones [4,6]. To simplify the design, secure fastening, reduce trauma, various types of external and internal fixation devices are applied. Nowadays, treatment of complex fractures of human pelvic bones with the help of the fixing Ilizarov apparatus takes place on the basis of the facts of analyzing the patient’s condition, that is, by an empirical method. Eliminating modeling from the design calculation may aggravate the patient’s condition due to such factors as excess load on the frame or its insufficient rigidity.
Model of wood impregnation after incomplete drying as an additional energy management tool
Authors: Kantyshev A V , Zaitseva M I , Kolesnikov G N
Published: November 2019

The problem of rational energy use is directly related to sustainable socio-economic and technological development, so its solution is a complex priority. Energy efficiency in modern industry is achieved through the improvement of management methods and the use of energy-saving technologies. The aim of this work is to analyze the possibility of reducing energy consumption in the technology of wood fire-retardant impregnation after incomplete drying. The study uses experimental methods and methods of mathematical modeling. It is established that the efficiency of wood impregnation according to the criteria of time and energy consumption increases with a decrease in the time interval between the drying completion and the impregnation start, and also depends on the degree of pre-drying, which should be sufficient, but not excessive. The adequacy of the results is confirmed by their consistency with the known literature data.
Non-parametric algorithm of omissions filling in stochastic data
Authors: Korneeva A A , Chzhan E A , Denisov M A , Medvedev A V , Kukartsev V V , Tynchenko V S
Published: November 2019

The paper presents the results of an algorithm for data processing. In the initial data omissions may occur due to different control discreteness of input and output variables. The paper proposes a non-parametric algorithm for filling gaps. The basic idea is to calculate the non-parametric estimate of the regression function from observations obtained from the object. This allows using all available measurements. Numerous computational experiments have shown that the use of the proposed algorithm has improved the quality of the resulting model several times. The algorithm is influenced by such parameters as the total number of omissions in the sample of observations, measurement interference in communication channels, and the type of object. It should be noted that the developed algorithm is universal and does not depend on the type of equation of the object.
Transient analysis of queueing system with two heterogeneous servers
Authors: Korolkova L I , Mashrabov N , Murzin A M , Panfilov A V , Siuskina Ju L
Published: November 2019

A method that uses an open-end diagram of queueing system functioning and relative probabilities is applied to study the queueing system with two heterogeneous servers, which is functioning within a given time period. According to the method a service process diagram is drawn. A feature of the method is the calculation of durations of the processes residual from the previous state. It allows describing in detail the functioning process of the queueing system for both infinite and finite time periods. The difference of the method from other approaches is the application of relations for computation of states without formulation and solution of any equations, absence of constraints on distribution of service time and inter-arrival time. The authors analysed the queueing system with arbitrary distributed service time and inter-arrival time, which is functioning within a random time period. Each state is characterized by idle time of devices or availability of the queue that allows, as a result, computing probabilities and average durations of idle time of servers, distribution of queue length, average time of stay in queue.
Model of river channel for timber transportation
Authors: Posypanov S.V. , Kozlov V.G. , Skrypnikov A.V. , Nikitin A.A. , Tikhomirov P.V.
Published: November 2019

The model of river channel for timber transportation allows the most efficient delivery of timber to consumers; ensures the minimization of material loss and negative environmental impacts. The model is especially useful in case of rivers with short shipping season, since the delivery of goods is carried out in a very limited time frame when the levels change dynamically, when the shipping conditions are rarely favorable and when the information about the transport dimensions is absent. Information received from the pilot charts when the levels differ from the design ones is worth being verified, which might be time consuming. However, with the help of these charts and at rather low cost the model can be designed. The purpose of this work is to solve the aforementioned issue. The simulation model under study differs from most digital surface models. The riverbed is depicted as a combination of its cross sections. They are connected by a line passing through the water surface at a design level above the waterway. According to the size of the channel and radius of waterway curvature, the allowable raft sizes are calculated. The minimum sizes are referred to for calculating the route.
Hybrid metric to reduce labour costs in assessing the complexity of the programs
Authors: Kukartsev V V , Tynchenko V S , Boyko A A , Denisov M A , Kukartsev V A , Chzhan E A
Published: November 2019

The article deals with the problem of assessing the complexity of software products. A review of widely used metrics (number of lines of code, average number of lines for functions, Halstead’s metrics, Jilb’s metrics, ABC-metric) is being conducted, on the basis of which a conclusion is drawn about their deficiencies. Also, indicators are analyzed, subtracted when assessing the complexity of programs, such as: program saturation with conditional operators or cycle operators, complexity of program understanding, program coding complexity, program content. A hybrid metric based on a composition of already well-known ones is proposed. As a result of the experiment to assess the complexity of the program, it is shown that the proposed hybrid metric allows us to more effectively evaluate the program. The use of such a metric can significantly reduce the computation time.
Simulation technological process of repair units of railway stock with ARENA
Authors: Kutyshkin A V , Brylova T B , Shashok A V
Published: November 2019

The paper discusses a number of issues related to the use of simulation modeling of technological processes of repair units of the rolling stock. A simulation model for modeling the technological process of repairing a critical rolling stock node in the ARENA environment is presented and described. The analysis of the simulation results in the context of setting and solving the main tasks of the organization and production management is carried out.
The use of a combined scheme of mathematical modeling for the continuous heating furnace of metallurgical production
Authors: Osintsev K V , Prikhodko Iu S
Published: November 2019

In this paper, it is proposed to put the finite volume method into the basis of a mathematical model of a heating furnace. The finite volume method is used in modern computer programs for calculating gas-dynamic flows. It is advisable to use a combined scheme when building a mathematical model in accordance with the results of data analysis of the continuous heating furnace of the metallurgical rolling production and its disadvantages. The novelty lies in the fact that for the first time it is proposed to use a finite volume method with a combined difference scheme for the heating zones of a continuous furnace of a metallurgical rolling manufacture for calculating a furnace. Such calculation algorithms make it possible to give recommendations on reducing heat losses in a furnace. Mathematical model building can lead to a significant reduction in fuel consumption and an increase in economic efficiency when using heating continuous furnaces of metallurgical rolling production.
Comparative evaluation of the effectiveness of the laser scanning and aerial photography systems using unmanned aerial vehicles
Authors: Chepyzhova A V , Pravdina E A , Lepikhina O Yu
Published: November 2019

This article discusses two modern methods for making mine surveyor surveys: using ground-based laser scanning systems and aerial photography from an unmanned aerial vehicle. Methods are described in terms of time costs, the number of employees and instruments involved, the cost of the work, the necessary computer capacity, depending on weather conditions. The paper also assesses the difference in calculating the volumes of the blasted rock mass. The author made a conclusion about the possibility of using the considered methods for calculating volumes and accuracy sufficient for surveying measurements. This study is based on the experience of using these technologies in real production - Karelsky Okatysh JSC.
Analysis of machine learning methods to improve efficiency of big data processing in Industry 4.0
Authors: Prudius A A , Karpunin A A , Vlasov A I
Published: November 2019

The article considers the basic methods of machine learning applied by individual entrepreneurs within the framework of transition to digital production to improve the efficiency of data processing, classification of existing and would-be customers and their subsequent work with them. The main attention is paid to the problem of increasing the effectiveness of methods of machine learning applied for solving the current questions. Areas of application of technology are shown. The peculiarities of machine learning are briefly analyzed. The main features and prospects of the development of Machine Learning services are shown on the basis of the concept of a step-by-step combination of the methods under consideration. One of the main algorithms for working with data is analyzed; its main features, scope and procedure are described. Recommendations are given for the further use of machine learning algorithms. The role of machine learning in the development of modern science and industry is analyzed, the main tendencies of the industry development are determined, and the practical application of big data is shown. As part of the transition to Industry 4.0, the main areas of application of machine learning, big data, Artificial Intelligence and their relations with the corresponding fields of science and production are described. The article also offers a review of the application of Artificial Intelligence and machine learning in particular in the context of the transition to digitalization and the issues of individual entrepreneurship.
Computer assisted data analysis for predicting the protective potential of hull structures of ships and floating facilities
Authors: Rodkina A , Kramar V , Ivanova O
Published: November 2019

Nowadays, stress corrosion fracturing of hull structures of ships and floating facilities is a matter of concern. Considering the presence of the juvenile surface at the tips of local defects, some adjustment is required for parameters governing protection in the existing methods of protecting against stress corrosion damages. However experimental determination of the juvenile surface for all steels is impossible. This article deals with solving a problem of predicting the protective potential to prevent hull structures of ships and floating facilities against stress corrosion fracturing. The solving is performed by use of a computer assisted data analysis with intermediate prediction of reference parameters such as potential of steel with an oxide film on, and that of steel without any oxide film, for different steel grades and sea water salinities. The suggested approach allows improving quality of protective means of hull structures of ships and floating facilities against stress corrosion damages by stabilizing the cathodic polarization process, providing appropriate potential of the uncharged surface.
Algorithms for neurocomputer processing and storage of artificial neural networks
Authors: Romanchuk V A
Published: November 2019

We suggest some general principles and a universal open format for processing and storing artificial neural networks to be subsequently processed on the basis of neurocomputer devices of various architectures. To enhance this universalization, we choose to employ the ONNX format (Open Neural Network Exchange) and the Wolfram Language framework. In 2018, such repository of artificial neural networks was implemented. For functional convenience, storage of artificial neural networks and for using the web version, we chose the JSON technology.
On scheduling quality of precise resource measure sets which consist of tasks of circular type in GRID systems
Authors: Saak A E , Kureichik V V
Published: November 2019

To serve parallel tasks of multiple users of Grid systems require the development of efficient methods for allocating processors and time resources. Optimal resource management is practically unrealizable due to the exponential complexity. In the situation, when the Grid-system is modeled by the resource quadrant and the user’s task is represented by the resource rectangle, heuristic polynomial algorithms are proposed with the quality assessment of scheduling by a Non-Euclidean heuristic measure. Using the example of arrays with an exact resource measure and induced by partridge linings, the adaptation of level polynomial algorithms is investigated, and a comparative analysis of the proposed algorithms is carried out.
Functional degradation of cyber-physical aerial system for trajectory planning and agent tracking
Authors: Sayfeddine D
Published: November 2019

With the development of cyber physical systems, new methods were initiated to overcome failures in both cyber and physical domains. Failures can be numerous since the cyber side faces real-time execution problems and bugs in the algorithms. On the other hand, the physical parts such as actuators and sensors are in direct contact with the surroundings and their performance strictly depends on changing in the circumstances. Developing methods that can overcome a combined cyber-physical failure are of great importance for the survivability of autonomous systems. This paper addresses the functional degradation of UAV as a cyber physical system during the tracking process of a mobile agent using possible combinations of AI, optical odometry and range finding technics.
Influence of orientation of vertical crack of hydraulic fracturing treatment on the efficiency of reserve recovery
Authors: Shakurova Al F , Shakurova Ay F
Published: November 2019

The article presents the study results of the influence of the orientation of a vertical crack from hydraulic fracturing treatment on the efficiency of oil reserve recovery, indicating the crack propagation direction. It was found that the increase in initial recoverable reserves is the greater, the longer the crack length is, and if the crack is oriented parallel and perpendicular to the filtration flow down to the permeable zone in the stagnant or deadlock zone, then the perpendicular connecting current lines from the injection well to the recovery well is most effective. The presented results show that HFT significantly changes the conditions for the oil reserve recovery in general in the reservoir area. Therefore, it is relevant to assess the contribution of a single HFT to the oil recovery factor of the reservoir area, as well as its effect on the wells density grid.
Modelling of computational fluid dynamics of gas dynamic processes on longwall panel during underground mining of flat gassy coal multi-seam
Authors: Sidorenko A A , Ivanov V V , Sidorenko S A
Published: November 2019

In the paper, results of numerical modeling with use of a method of computational fluid dynamics of aerogasdynamic processes on the longwall panel of the coal mines during mining flat gassy coal multi-seam are presented. The three-dimensional aerogasdynamic model of the longwall panel developed by the authors is presented. Numerical research is conducted for conditions of flat thick seam mining in mine V.D. Yalevsky. As a result of research, the low efficiency of use of the vertical drainage goaf wells located from the headgate is established and recommendations about decrease in the number of wells for reduction of cost of their drilling are made. Results of the research can be used for justification of ventilation and gas drainage during gassy multi-seam underground mining.
Mathematical modeling of harmonic correction by parallel active filter in conditions of distributed generation
Authors: Sychev Yu A , Abramovich B N , Zimin R Yu , Kuznetsov P A
Published: November 2019

The methodology for selecting the parameters of a parallel active filter to compensate higher harmonics in a power supply system with distributed generation has been validated. The structure of the parallel active filter based on power transducer elements is proposed in the paper. A control system for the parallel active filter in conditions of power supply systems with distributed generation based on phase conversions and relay controllers with variable width of hysteresis has been developed. A mathematical model of the parallel active filter with the proposed control system in the power supply system with distributed generation has been developed. The dependences between the performances of higher harmonics compensation by the parallel active filter with the developed control system have been obtained according to the simulation results.
Application of the experimental design algorithms to the construction of estimated subsets of minimum covariance determinant method
Authors: Usova I O , Khailenko E A
Published: November 2019

The problem of stable estimation of errors in variables models is considered in this paper. The basic concepts of experimental design methods, orthogonal regression method, the minimum covariance determinant method are investigated. Experiment planning methods use to form estimated subsets in order to achieve more accurate estimation results. Designs of experiments will allow one to receive the most informative points on which estimation will be made. Research, displaying change in the condition of the D-optimal design when applying different spectra of the design and in the conditions of various kinds of emissions, has been conducted in this work. According to the research it is found that the most accurate estimates are obtained when applying the methods of experiment planning.
Simulation of a mixer with a bidirectional rotational effect on material
Authors: Yudin K A , Khakhalev P A
Published: November 2019

The investigation of the mixer with bidirectional rotational impact on material is continued. The rotation of spherical mixing chamber is carried out by means of a drive using belting, chaining and beveling gears. The mixing of material in a chamber occurs relatively to two mutually perpendicular axes. The arising complex spatial movement of particles of a material can be regulated by a frequency converter and the corresponding elements of rotation gears. Preliminary experimental studies on the implemented laboratory facility are conducted. A digital model of the proposed device using the NX product is created. The analysis of the behavior of particles of mixed material, implemented using the EDEM package, is presented. The relevant conclusions are made.
Automation of determining the contact angle of washing liquids wetting
Authors: Alekseev V V , Philippov V P , Fadeev I V , Chuchkalov S I
Published: November 2019

The physicochemical activity of the washing environment is related to the value of the contact wetting angle of the solution and the body being washed and changes rather quickly. In this study a technique and software tool were developed for the rapid determination of the dependence of the contact wetting angle on the concentration of surface-active substances (surfactants) and the selection of optimal values. The technique was based on pixel-by-pixel processing of photographs of cleaning solutions droplets on various types of the studied surfaces with using color contrasting. The data were processed by statistical methods which allow determining the value of the derivative of the surface equation and finding the contact wetting angle. The dependence of the wetting angle on the surfactant concentration was studied using multiplicative power functions. The results showed a decreasing return value of the contact wetting angle from increasing surfactant concentration. It was defined that the influence of potassium monoborate (PMB) together with MS-8 is the most effective. The obtained results allow calculating and optimizing surfactants percentage defining the quality and performance of the washing process at the design stage of the technological process for various options for the combined use of surfactants.
A parallel optimization algorithm for predictive control of marine vessel
Authors: Borisov A N , Siek J L
Published: November 2019

Control of marine moving objects is a complex task, which requires considering the nonlinearity of the control object, as well as random wind-wave disturbances. One of the modern strategies is the model predictive control. The article investigates the possibilities of parallel computing technologies to solve the problem of finding the optimal sequence of control vectors in predictive control of a marine vessel. The basic concepts and mathematical model of control systems with prediction are given. Then the optimization problem is formulated. The use of SMP-systems and parallel algorithms is substantiated. Then we describe one of the most common parallel programming technologies - OpenMp. A parallel version of the conditional optimization algorithm is presented, as well as the quality functional used in the control. The results of modeling in a multi-core system with shared memory are presented. In conclusion, further directions of research, as well as possible ways to improve performance are proposed. All presented models are implemented in C++.
The optimization of contact sensors motion path in carrying out control operations
Authors: Glinskaya N Y , Elagin V V
Published: November 2019

The article examines the problem of raising control operations efficiency through measurement mechanisms transference optimization. For solving the problem it is proposed to use the discrete optimization method, based on solving the “traveling salesman” problem. The article demonstrates the comparison of the “greedy” algorithm and the branch – and – bound method and proves the necessity to use optimized algorithms, as even approximate algorithms make it possible to reduce the length of the way monitoring sensor passed. Reducing the length of the way the monitoring sensor passes leads to reducing the control operation time. The time gain depends on the quantity of controlled parameters.
Managing the processes accompanying fluid motion inside oil field converging-diverging pipes
Authors: Khabibullin M Ya
Published: November 2019

In recent years, there is an increased interest in pipes with regularly variable section area (converging-diverging pipes) in the oil chemical industry. At the same time, there is no simple engineering technique for calculation of hydrodynamic characteristics of such devices, which significantly impedes computations for mass exchange processes inside them. Attempts to concentrate energy dissipation and their control near the phase boundary were mainly directed at using the fluid flow pulses induced by an external generator, alternating displacement field, pulses caused by fluid flow through the conduit with a variable cross-section. As a result, it has been revealed that the forces determined by action of convective acceleration are capable of causing a significant deformation and breakage of disperse inclusions (drops and bubbles). For rigid particles, the action of the convective acceleration leads to a periodic impulse renewal of liquid near the surface of the rigid particle.
A workload distribution problem model and online constraint forming technique for the control systems in the fog-computing environment
Authors: Melnik E V , Klimenko A B
Published: November 2019

The paper deals with the workload distribution problem in the fog-computing environments. This problem is topical due to the wide range of networked control systems functioning on the basis of cloud and fog-computing infrastructure. The latter presupposes the techniques of workload relocation between the cloud, fog, and, in particular, the endpoint devices. As control systems have their own requirements in terms of latency, reliability, fault-tolerance, etc., the specific techniques must be developed to deliver these particular features using the fog-computing infrastructure. In the current paper a problem model of workload relocation is presented, the problem of constraints forming is considered and the new constraint forming technique is proposed.
Computer diagnostics of resistance spot welding based on Hamming neural network
Authors: Klimov V S , Klimov A S , Mkrtychev S V
Published: November 2019

The article deals with utilizing the method of qualitative assessment of welding zone dynamic resistance based on a Hamming neural network to increase versatility and reliability of computer diagnostics for resistance spot welding. We propose a mechanism for encoding information on dynamic resistance into bipolar signals required for the neural network tuning and operation. The algorithm of welding diagnostics was developed and implemented with specialized software. The results of the neural network training and testing are presented. As the analysis shows, the relative error in predicting destruction force does not exceed 10%. The approach proposed in this article complies with the requirements of ISO 9000:2015 standard for continuous monitoring and documentation of each welded connection and allows for increased accuracy of computer diagnostics of welds.
Hardware and information system for the recording of the working time of universal metal-working machines
Authors: Kotov V V , Lyublinsky M S , Chashchin E A , Maslakova G V
Published: November 2019

The article is aimed at implementing the principles of lean manufacturing at machine-building enterprises. It considers the task of monitoring and analyzing the efficiency of using the machine time of the universal machine park, where CNC is not used. It also does not provide for the possibility to register information and promptly take into account the duration and modes of operation of the machine. The article proposes a software-hardware solution, in which the idea of machine loading in an automated mode is formed without the influence of the “human factor”. The data are generated based on the registration of the current strength consumed by the machine. The developed information system allows us to generate a report and a load schedule for each piece of equipment for a selected period of time. The result is a reduction in downtime up to 2 times and an increase in output by 25%.