bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling of manufacturing process on the example of electro-pneumatic control unit
Authors: Tkachenko S N , Shpilevoy A A , Zakharov A I , Burmistrov V I , Stavitskaya E P 
Published: December 2021

Abstract
The work describes the developed imitative model of manufacturing process on the example of control unit, specifically a plate, and testing of its performance. The process of model development is performed in AnyLogic software. Authors demonstrate modeling results and formulate manufacturing process optimization recommendations on its basis. The article shows expediency of imitative model applying for checkout of technological operations.
Interval forecasting of time series using orderstatistics
Authors: Misyura V , Bogacheva M , Misyura E 
Published: December 2021

Abstract
In the traditional approach of obtaining time series forecasts based on the selected model, the model parameters are first estimated, then a point forecast using the obtained estimatesis made and then an interval forecast with a given probability is made. In the article the authors propose a nonparametric method for obtaining a single-stage interval forecasting of a time series based on constructing predictive and target variables sets using robust statistics and obtaining the forecast boundaries by constructing linear regression models. The predictive algorithm is based on the problems of estimating the parameters of linear multiple regression using a model regularization methods. The results of forecasting prove the expediency and effectiveness of the proposed method.
RUN-BOT: mobile robot for running exercises
Authors: Kudinov Ya , Izumov A , Lobanov S , Obuhov P , Marchenko E 
Published: December 2021

Abstract
This article describes the operating principle of a mobile robot for running exercises RUN-BOT, shows a visual model, demonstrates photos of a testing prototype, describes the algorithm of the robot’s work on a real work-area. The functional model of the robot’s operation and a brief justification for the choice of electronic components are also described.
Planar kinematic grids created on the basis of triangulation
Authors: Buzalo N , Kurbanov A , Sheina S , Tsaritova N , Tumasov A 
Published: December 2021

Abstract
Activities to protect historic cities and the revival of areas of historical importance are accompanied by a desire to maximize the entry of the natural environment into the city. Architects and builders often go on the use of non-standard design solutions to create a beautiful, healthy, beloved city. They widely use spatial coating constructions as the forms closest to natural. Construction with curvilinear outlines, that V.G. Shuhov had invented and patented in XIX century, had become the basis of modern architecture. The reticulated shells have unlimited possibilities for creating new architectural forms. The growing number of structures constructed using this technology indicates the prospects for the use of such structures, especially at low temperatures, in seismic and remote areas. The design of reticulated shells is self-supporting and has higher bearing properties compared to other types of structures. This is due to the uniform distribution of loads on all the rods of the structure, which virtually eliminates brittle fracture. The aerodynamic shape of the reticulated shells provides the best wind flow compared to other structures, which makes them stable during destructive hurricanes and tornadoes.
Digital models of parametric structures
Authors: Kravchenko G , Panasyuk L , Trufanova E , Pudanova L 
Published: December 2021

Abstract
Formation of parametric structure digital model are considered. Investigation was based on the analysis of the shaping evolution of the analytical surface in the form of a hyperboloid of rotation. Finite element frame represents a spatial plate-rod system has been developed during creation of the digital model. This scheme allows to study the effectiveness of constructive solutions under dynamic influence at the design stage. Dynamic characteristics of various design solutions are considered in process of choosing a rational variant of the building frame. The influence of the inclusion of outrigger floor in the model of the frame at various levels of the building are investigated. The proposed method of research and application of the possibilities of the shaping evolution allows to proceed to the modernization of BIM technologies in the design of unique buildings. Recommendations for refining the algorithm for studying parametric object digital models were developed.
An illegal user model of communication channel with error correction codeс
Authors: Mogilevskaya N S , Dolgov V V 
Published: December 2021

Abstract
The situation when an illegal user intercepts data from the communication channel of two legal users is considered. The data in the legal channel is protected from distortion by error correction codes. It is assumed that the intercept channel may be noisier than the legal channel. And, consequently, the interceptor receives low-quality data. The possibility of using a special type of error-correction code decoders by an illegal user to restore damaged data is discussed. The interceptor model is constructed. The model includes a receiving block of the intercept channel, as well as several auxiliary blocks, such as a memory device, a block for determining the quality of communication in the legal channel, databases with possible decoders and their parameters. Examples are given that show the potential capabilities of the interceptor. The examples demonstrate the difference in decoding quality between different decoders for LDPC codes and Reed-Muller codes. These examples show that an illegal user with the various decoders described in the open press can receive information with satisfactory quality even at a weak signal level in the intercept channel. The constructed model can be useful in the tasks of developing methods of protection against intruders who organize illegitimate data interception channels.
Decision-making system with homo and hetero elements
Authors: Fathi V A , Ganzhur A P , Ganzhur M A , Dyachenko N V , Shabanov R M 
Published: December 2021

Abstract
Experts from all over the world provide an opportunity in filling decision-making systems. But the filling of decision-making systems with data does not have an exact quantitative characteristic. It is good when the expert is completely confident in the decision. But some decisions can add up to their own internal assessment without justification or experimentation. Other decisions are hampered by past experience. To overcome this type of problem, it is necessary to develop a system that will be based on clear and fuzzy data behaviour. This article is aimed at describing the method for constructing a decision-making system on clear and fuzzy data using Petri nets.
The list algorithms accuracy characteristics improvement based on Krohn’s algorithm and its modifications
Authors: Kobak V G , Zolotykh O A , Zolotykh I A , Poliev A V 
Published: December 2021

Abstract
The research of algorithms for uniform loading of devices for homogeneous information processing systems is a very important science-intensive task. An experimental approach was chosen for the research. This is primarily due to the fact that the analytical solution of the distribution problem gives solutions that are far from reality, since it is unable to take into account many factors that affect the computing machine during its operation. The aim of this research is to improve the accuracy characteristics of the list algorithms through the use of heuristic algorithms, such as Krohn’s algorithm and its modifications. This made it possible to obtain a more even distribution of tasks among executive devices, which can be networked workstations, processors or processor cores. The work uses list algorithms, such as the Critical Path algorithm and Pashkeev’s algorithm, as well as heuristic algorithms - Krohn’s algorithm and its modifications. The main idea of the research is to obtain the best suboptimal solution by improving the quality of the resulting distribution. In this case, with the help of the list algorithms, the initial distribution is formed, and its refinement is carried out through the application of the Krohn’s algorithm and its modifications. In fact, in the work, a number of symbiotic algorithms are examined and analyzed. For this, many computational experiments were carried out and a large amount of output data were collected, on the basis of which conclusions were drawn about the effectiveness of the solution obtained for each symbiotic group and for all groups as a whole.
Experimental modeling of the interaction of hard and aeriform body and the onset of a drag crisis with a significant change in velocity
Authors: Kudinov N V , Atayan A M 
Published: December 2021

Abstract
The paper deals with the possibilities and prospects of experimental modeling of the interaction of a solid and a gaseous body. It is assumed that reliable experimental data have already been obtained and published. The problem of approximating the complex aerodynamic characteristics of air flow around a spherical body is posed and solved. The study was carried out using the «Cut-Glue» method for approximating numerical information about blowing experiments. Generally, this information reflects the dependence of the drag coefficient on the Reynolds number. The choice of the Cut-Glue method for the approximation of complex, multiextremal characteristics that can be obtained in physical experiments is substantiated.
Nonlinear stochastic filtration of satellite measurements
Authors: Reshetnikova I V , Sokolov S V , Manin A A , Polyakova M V , Gerasimenko M S 
Published: December 2021

Abstract
Existing methods for processing satellite measurements are based on the use of either the least squares method in different versions, or with the known model of motion of an object – various modifications of the Kalman filter. At the same time, the Kalman approach is more accurate, since it takes into account the dynamics of the movement of the object and the history of estimates, but its significant drawback is the need for a priori knowledge of the equations of motion of the object. In this regard, a new approach is proposed to assess the navigation parameters of the object by satellite measurements. On the one hand, this approach takes into account the dynamic nature of motion parameters and the history of estimates, and on the other hand, free from restriction in the form of accurate knowledge of the equations of motion of an object. The effectiveness of the considered approach in comparison with the existing traditional methods of processing satellite measurements is confirmed by the results of numerical modeling.
Optical digital-to-analog converter for N-digit logic-based processing circuits
Authors: Reshetnikova I V , Sokolov S V , Manin A A , Polyakova M V , Sokolova O I 
Published: December 2021

Abstract
The possibility of synthesis of ultra-fast universal optical digital-to-analog converter (DAC) providing conversion of digital information into analog information in giga- and terahertz ranges, including in digital systems based on N-digit logic, is considered. The functional diagram of the optical DAC containing technologically well-developed optical elements is given, the principle of operation is described in detail. The possibility of implementing this DAC with the speed potentially possible for optical data processing circuits is shown.
About the features of the least squares method with linearization when determining nonlinear parameters of functional dependencies
Authors: Azarova Lidia V 
Published: December 2021

Abstract
The features of approximation of empirical data by functional dependence with nonlinear parameters using the two-stage least squares method are considered in this paper. A method of simplified parameter estimation by constructing a new expression that depends on the parameters in a linear way is described. To obtain the final solution, the least squares estimation of the main dependence linearized in terms of parameters is performed. The influence of various forms of noise imposed on the theoretical dependence on the approximations is modeled.
Modeling of the processes of extracting rules from Neural Network components with Petri nets
Authors: Marshakov D V 
Published: December 2021

Abstract
The paper deals with the use of extended Petri nets in modeling the processes of extracting rules from neural network components. The mathematical model for extracting rules from neural network components based on a modified timed Petri net is constructed, followed by an analysis of its dynamic behavior based on a timed reachability graph, which is a set of all its states that can be reached when a finite number of transitions are fired. The proposed model allows us to move from the initial detailed structure to its simplified description, which preserves the possibility of obtaining information about the structure and dynamic behavior of the neural network system. The proposed approach can be used in the synthesis of cognitive systems with a neural network organization to provide computational support for the functions of forming, learning, and correcting cognitive networks that display neural network models.
Method of creation of a two-level neural network structure for solving problems in mechanical engineering
Authors: Volkov A , Varlamov O 
Published: December 2021

Abstract
There is an industrial trend of increasing technological effectiveness of production and growing autonomy of factories, resulting in generation of huge amounts of raw data that can be used to improve efficiency and continuity of industrial plants operation. Big data collection, processing and analysis technologies are already being actively implemented. Further use of big data will help with a variety of tasks, such as optimization and process monitoring, quality control of equipment and produced parts, modeling and forecasting of the facility operation and other mechanical engineering challenges. A new method of creation of a two-level neural network structure is proposed, designed to solve a number of problems by training individual neural networks for each subset of data used in the task at hand. This method combines two levels of information processing: the first level of the neural network classifier and the second level, which includes several neural network analyzers. Depending on the specific subject area and the data sets available, it is possible to use the method to solve various problems in mechanical engineering. The method allows to add new neural network analyzers and expand the scope of application. The practical application of the method in solving the problem of text message sentiment analysis is shown and an example of the Python programming language software implementation of the two-level structure is given. Use cases for the two-level structure method in mechanical engineering tasks are proposed. In addition, the proposed method can be used as a part of the hybrid intelligent information system that includes mivar expert systems. Combining neural networks with mivar expert systems as part of a hybrid intelligent information system is a promising direction for the development of artificial intelligence for mechanical engineering.
Modeling of complex structured processes using discrete iterative networks and petri nets
Authors: Korneev A , Lavrukhina T , Smetannikova T , Glazkova Yu 
Published: December 2021

Abstract
The paper considers the use of discrete iterative networks and Petri nets in the modeling of complex structured processes. In general, the production process is represented as a composition of machines. Probabilistic finite machine are modeled to select optimal solutions from a certain set of alternative solutions. Alphabets of finite and probabilistic machines are formed on the basis of discrete optimization methods when modeling multi-stage productions. The processing mode adaptation block is used to change the alphabets when the production conditions are changed. Using the alphabet generation block allows you to choose the optimal value of the alphabets of the random variables under study. During modeling complex systems and developing algorithms for managing them, the presence of ambiguous functional relationships between factors and quality indicators is taken into account. Methods of modeling complex spatially distributed objects based on a hierarchy of machines belonging to a predetermined finite number of machine types using iterative networks and Petri nets are described.
Calculation of accuracy with the coordinate-positional method of basing
Authors: Kovalevich M , Neypert T , Davydov P 
Published: December 2021

Abstract
The article is devoted to the assessment of assembly accuracy when positioning with the use of industrial manipulators (robots). Classic assembly technologies are outdated and have many disadvantages that can be solved by the automation of industrial processes, which became possible due to the rapid development of robotization. In the material there are investigation the possibility of using industrial robots for positioning structural elements of aircraft from the point of view of achieving the required assembly accuracy. For the analysis, foreign literature sources and the current experience of introducing similar technologies by large aircraft manufacturers were used. To assess the assembly accuracy, the formulas for the functional size error were used. An enlarged technological assembly process is presented, graphic materials with basing schemes are presented. Based on the data obtained, the advantages and disadvantages of basing with the help of industrial robots at this stage of technology development are formulated, taking into account the existing production experience.
Fuzzy modelling of the transportation logistics processes
Authors: Chislov O , Lyabakh N , Kolesnikov M , Bakalov M , Bezusov D 
Published: December 2021

Abstract
The relevance of mechanisms and fuzzy modeling methods used in transport and logistics processes is justified. The logic of the transport and logistics chains study by their decomposition into separate economic entities with subsequent synthesis, with taking into account their conflicting interests, is presented. The task of managing transport and logistics processes is set within the framework of the conceptual positions of the fuzzy sets theory: the use of linguistic variables, the concept of a fuzzy set, fuzzy inference, implemented on the basis of fuzzy sets operations. In this study, the fuzzy modeling on the bottom-up conclusions from the premises to the conclusion was used. Various methods of implication and defuzzification have been analyzed. An iterative procedure for managing transport and logistics chains and their links has been proposed, which ensures the adaptation of the process to the specified performance indicators. A calculated example is given for a marshalling yard as a link in the transport and logistics chain.
Ford-Fulkerson algorithm refinement for the cooperation effectiveness increase of intensive and low-density lines
Authors: Kovalev K E , Novichikhin A V 
Published: December 2021

Abstract
The article describes tools of the railway control on intensive and low-density lines which is directed on the effectiveness increase of low-density line functioning, for the solution of perspective tasks of the railway network functioning and development. For the too realization the oriented graph with the Ford-Fulkerson algorithm which allows determining the maximum flow and the minimum cut for non-oriented graphs. Firstly as values of graph tops inverse values of the station rating and as graph edges inverse values of the railway line class are accepted. The use of this approach allows determining the maximum flow in the system and provides the clear view of relations of transportation capacities of railway lines and stations.
Approach to formalization of the intelligent information control systems based on the topos theory
Authors: Avsykevich D , Tupitsin Yu , Shishkin E 
Published: December 2021

Abstract
The approach to formalization of complex organizational and technical systems based on the toposes theory is substantiated. The article presents a review of the literature on the formalization of knowledge. An integrated control system for technical complexes is considered. The description of blocks of intelligent information and control systems based on the toposes theory is developed. An algorithm for formalizing intelligent information and control systems and an example of constructing toposes and functors for the general case are presented. The conclusion is made about the possibility of applying the proposed approach to the formalization of the intelligent information and control systems in the process of formation of their appearance.
Mathematical model for organizing storage and providing access to files in distributed information systems
Authors: Egorov A , Makshanov A , Krupenina N , Tyndykar L 
Published: December 2021

Abstract
Existing solutions for data exchange problem are considered. Installation feasibility and use FTP-server as an effective tool for storing and providing access to files is analyzed. Technical aspects of its work, as well as the tasks range that can be solved with its help are specified. Within the adaptive information system limits the general interaction functional structures scheme of the distributed FTP-server is resulted, and as the presence concealment scheme of storehouses by a controlling server at connection at the client. The mathematical storage model organization and access to files, allowing to realize rational files distribution sent by the client among available storages, is described.
Mathematical model for the reinforced concrete with nonlinearity behaviour of bond
Authors: Samoshkin A , Tikhomirov V 
Published: December 2021

Abstract
The article developed a mathematical model describing the deformation of reinforced concrete, taking into account its adhesion to reinforcement. The model consists of three layers: concrete, contact layer, reinforcement. The contact layer surrounding the reinforcement takes into account the complex deformation of the concrete when interacting with the profiled reinforcement. Arguments are presented for criteria that determine the transition of concrete, reinforcement and contact layer to limit states. A diagram of testing of reinforced concrete specimen has been proposed and a procedure for processing experimental data, which allow you to determine the bond parameters. Equations that bind the mechanical characteristics of the contact layer with two the bond parameters of concrete with reinforcement are obtained. The developed model was used in the numerical solution of the problem of static pull-out of reinforcement from concrete. The calculation of the finite element method showed a good correspondence with the experimental data, including during plastic deformation of the reinforcement. This shows the correctness of theoretical provisions and developed mathematical algorithms used to model the deformation of reinforced concrete.