bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seam welds quality control improvement using method of pseudo-color coding images
Authors: Noskov M F 
Published: November 2021

Abstract
The method of seam welds quality control using X-ray is considered. The X-ray methods of control are based on the capability of gamma radiation to penetrate through a metal including welded areas. Regions having defects - pores, faulty welds, cracks, scale inclusions - look darker on images. Appearance, linear dimensions and depths of the defects usually are determined by a visual examination comparing the X-ray image with standard defects images. It is known that a human eye can distinguish not more than 12-15 shades on a black and white image but more than a hundred on a colored image. The paper considers possibilities of the developed method by the author and based on the optical mixing of two or three complementary colors - red, blue and green. The method can use only one pair of the colors at a time, i.e. it is possible to have three various pairs for a pseudo-color image. The obtained pseudo-color image has the same informational capacity as the original black and white image. But the greater fraction of the saved information becomes available for visual examination of the X-ray image. In the end the efficiency of the seam weld quality control increases.
Dynamics of shock waves in bubble zones of finite size with a hydrate-forming gas
Authors: Chiglintseva A S , Gimaltdinov I K , Chiglintsev I A , Nasyrov A A 
Published: November 2021

Abstract
The purpose of this study is to study the dynamics of the wave field, which is realized in a channel with a liquid containing a rectangular zone with bubbles of the freon-12 hydrate-forming gas during the propagation of a pressure shock wave. In the initial state, the considered gas-liquid system is under pressure P0. After a sudden increase in pressure to the value of Pe, a pressure wave of a stepped profile propagates in the system and, as a result of the presence of a bubble curtain, its amplitude increases, which in turn has a more favorable effect on the formation of hydrate in gas bubbles. In the initial state, the hydrate formation process was not taken into account. As a result, the dynamics of the pressure wave is shown during its propagation in a semi-infinite channel containing a gas curtain with a hydrate-forming gas. The mechanism of gas hydrate formation is described in this work on the basis of the theory of nonequilibrium phase transitions in vapor-liquid systems.
Virtual reality as a tool for training specialists in the field of radiation non-destructive testing
Authors: Kovshov E E , Kuvshinnikov V S 
Published: November 2021

AbstractOrganizational, technical and methodological approaches to the creation and application of virtual reality in additional education are considered. Particularly for use and development of a digital radiography simulator in non-destructive testing of products and materials. It is noted that virtual reality technologies are most widely used in training and knowledge testing of engineering and technical personnel and workers in production, as well as in technological preparation during complex and exacting operations, including products and materials testing. The pilot solutions obtained and tested to date allow us to evaluate the results of complex scientific research. The prospects of expanding the applicability range of software and hardware virtual reality solutions, including those based on network interfaces, protocols and telecommunications solutions, are determined.
Artificial intelligence in a rugged design based on multi-bit rules
Authors: Zolotareva T A 
Published: November 2021

Abstract
In this paper, the technologies for training large artificial neural networks are considered: the first technology is based on the use of multilayer “deep” neural networks; the second technology involves the use of a “wide” single-layer network of neurons giving 256 private binary solutions. A list of attacks aimed at the simplest one-bit neural network decision rule is given: knowledge extraction attacks and software data modification attacks; their content is considered. All single-bit decision rules are unsafe for applying. It is necessary to use other decision rules. The security of applying neural network decision rules in relation to deliberate hacker attacks is significantly reduced if you use a decision rule of a large number of output bits. The most important property of neural network transducers is that when it is trained using 20 examples of the “Friend” image, the “Friend” output code of 256 bits long is correctly reproduced with a confidence level of 0.95. This means that the entropy of the “Friend” output codes is close to zero. A well-trained neural network virtually eliminates the ambiguity of the “Friend” image data. On the contrary, for the “Foe” images, their initial natural entropy is enhanced by the neural network. The considered works made it possible to create a draft of the second national standard for automatic training of networks of quadratic neurons with multilevel quantizers.
Developing a module to convert OpenFOAM computational meshes to the msh format
Authors: Chitalov D 
Published: November 2021

Abstract
The paper reveals the features of developing an application for conversion of computational meshes built in OpenFOAM to the msh format applied for numerical simulation of continuum mechanics (CM) problems with the ANSYS FLUENT platform. Some companies apply this platform in parallel with OpenFOAM that requires a mesh conversion module. Although there are program tools capable to solve this problem, their application involves some difficulties, mainly the necessity to pay for a license, absence of complete documentation, paid technical support. Thus, the described problem is actual and its solution – developing a conversion module – is the study purpose. The article discloses features of the OpenFOAM utility for conversion, a list of technologies to develop a module, module action, results of its performance test using a CM problem. The study findings are statements of scientific novelty and expected practical significance.
Estimation of response time of laser complex data processing nodes
Authors: Chkalov R V , Chkalova D G 
Published: November 2021

Abstract
The work is devoted to problem of information exchange between elements and devices of a telecommunication network for laser technological complex. The laser complex is a combination of hardware and software designed to carry out operations based on the use of laser radiation. Laser complex structure provides a possibility of remote control through a client-server system built on the basis of TCP/IP protocol. The main requirements for industrial network of the complex are performance and predictability of information delivery time. To solve this problem, a probabilistic model for calculating the numerical characteristics of the distribution of requests timeout for external commands from control/monitoring nodes is proposed.
Selection of the optimal set of versions of N-version software using the ant colony optimization
Authors: Aljarbouh A 
Published: November 2021

Abstract
The article discusses the problem of ensuring a high level of software reliability. A software reliability high level can be ensured using N-version programming. N-version software is distinguished by the software components redundancy, designed to solve one problem using different methods. Software redundancy requires additional resources. The challenge is thus to increase the software reliability, while at the same time minimising the resources used. In this article, ant colony optimization is used to solve the problem of choosing the optimal set of versions of N-version software.
Numerical calculation of a statically indeterminate frame by the finite element method
Authors: Sazonova S A , Asminin V F , Zvyagintseva A V , Kurchenkova T V , Rylev S S 
Published: November 2021

AbstractA numerical calculation of a statically indeterminate frame with high rigidity elements with the computer program STAB12. EXE using the finite element method is performed. An example of generating the source data for the program STAB12. EXE with subsequent processing of the results of the calculations is given. The features of checking the balance of nodes, rods and the frame as a whole based on the use of values taking into account the signs on the diagrams of torques, longitudinal and transverse forces are described. According to the results of calculations, the computer shows the frame in a deformed state.
Recognition of stimulus received by recurrent neural network
Authors: Bartsev S I , Markova G M 
Published: November 2021

Abstract
The study is concerned with the comparison of two methods for identification of stimulus received by artificial neural network using neural activity pattern that corresponds to the period of storing information about this stimulus in the working memory. We used simple recurrent neural networks learned to pass the delayed matching-to-sample test. Neural activity was detected at the period of pause between receiving stimuli. The analysis of neural excitation patterns showed that neural networks encoded variables that were relevant for the task during the delayed matching-to-sample test, and their activity patterns were dynamic. The method of centroids allowed identifying the type of the received stimuli with efficiency up to 75% while the method of neural network-based decoder showed 100% efficiency. In addition, this method was applied to determine the minimal set of neurons whose activity was the most significant for stimulus recognition.
Developing the platform model for problem solving of automated machine learning
Authors: Chastikova V A , Zherlitsyn S A 
Published: November 2021

Abstract
The article discusses the current state of technologies for automated machine learning. The development trends and the nature of the distribution model - MLaaS - are defined. There is highlighted a number of problems of automating the machine learning process, such as: excessive simplification and specialization of tools, vagueness of implemented processes, lack of flexibility in the infrastructure hardware, using closed algorithms. As a partial or complete solution to them, we have proposed the architecture, consisting of separate modules: models, hybridizer, learning algorithms module, testing module, user support module, and a theoretical framework. The main feature of the given architecture is its modularity, transparency and encapsulation of components. Each module is described as a separate element, implemented as an independent microservice. The paper describes the benefits of applying the given approach to the implementation of automated machine learning systems, the need to implement the given or similar standards. For each of the modules, its purposes, the tasks it solves and the implemented functionality, as well as the data necessary for the functioning and their sources are described. A general diagram showing the flows of information exchange between modules is presented. The main scenarios for the resulting system operation, as well as ways of interacting with it and the result of its operation - the generated model - are described.
An iterative feature selection procedure for a classification problem based on the method of logical analysis of data
Authors: Kuzmich R I , Stupina A A , Zhirnova I S , Slinitsyna O V , Boubriak I I 
Published: November 2021

Abstract
An iterative procedure for selecting features for classifying observations is proposed. The main principles of the proposed iterative procedure are ranking and selection of features according to the frequency of their use when constructing logical patterns based on the method of logical analysis of data. The empirical confirmation of the expediency of this procedure is given.
Development of software for simulation of Android applications
Authors: Mehdiyeva A M , Sardarova I Z , Rustamova D F , Imanova T R 
Published: November 2021

Abstract
In this paper the system based on Python programming language for control of Pioneer 3dx mobile robot is considered. To write code in Python initially the ARIA language imported. The Pioneer 3dx’s simulation control is started by creating a robot object and connecting it with the emulator. In case of failed connection Pioneer is performed exiting from the program. Program Codes is written for research works and performs some actions like grabbing and moving the ball with the external gripper, and then putting this ball on another place. This routine code is useful in performing some laboratory and industry tests. The areas, where could be used Pioneer 3dx mobile robot and method of application to the different fields are not limited. As our research shown that the Pioneer 3dx with gripper mainly can be used in industries for routine work, in laboratories for different experiments. The hardware components of mobile robot are pitman motor, motor control, sensors, actuators and communication among them. The main focus was receiving initial data from sensors. Movement is performed based on robot’s motor. The control panels located on the Pioneer robot have indicators that increase capabilities of mobile robot. The software packages used for Pioneer robot is eyes-client mobile application. Additionally, in research work the ultrasonic sensor’s working principle and logic were applied. Core programming language ARIA and its working through Python considered also. The code written during research work was applied on the simulator MobileSim that makes robot perform a series of planned actions. The application of smartphone on Pioneer 3dx robot for speech recognition purpose can improve the functionality and effectiveness of it. Moreover, the additional camera also underlined as new feature for security and monitoring system.
Introducing perforation when applying turbo codes
Authors: Sidorenko A A 
Published: November 2021

Abstract
The problem of adapting the degree of redundancy introduced in the process of error-correcting coding to the changing characteristics of the data transmission channel is urgent. Turbo codes, used in a variety of digital communication systems, are capable of correcting multiple errors occurring in the data transmission channel. The article compares the decoding efficiency for various options for introducing perforation into the code sequence generated by the turbo code encoder. Based on the comparison results, recommendations were made on the most appropriate option for the introduction of perforation.
Investigation of the effectiveness of metric classification methods in identifying attacks in VANET
Authors: Parfenov D , Bolodurina I , Grishina L , Zhigalov A 
Published: November 2021

Abstract
This paper discusses the problem of improving the efficiency of metric machine learning methods of identification attacks in vehicular adhoc networks (VANETs). The main idea of this research is to select the type of nonlinear functions for calculating the distances between the objects of the sample, describing the traffic of VANET using metric methods, such as the method of k-nearest neighbour with linearly decreasing weights and the Parzen window method. The analysis of the effectiveness of the methods considered was carried out on a synthetically generated sample with three different types of attacks on the network. Computational experiments have shown that the k-nearest neighbour method with decreasing weights based on an exponential function with base a < 1 is more efficient than the Parzen window method by about 0.3% and has an accuracy of 84.15%.
Design of inductors for the installation of induction soldering of pipeline joints in the oil and gas industry
Authors: Stupin A O , Rogova D V , Nozdrenko E A , Kukartsev V V , Cherepanov A I , Stashkevich A E 
Published: November 2021

Abstract
The article discusses the use of induction brazing for connecting oil and gas pipelines. The rationale for the choice of induction brazing in the oil and gas industry is considered. The work calculates the main parameters of the inductor. On the basis of calculations, using a mathematical apparatus, a schematic diagram of an inductor with a diameter of 90 mm is created for installing induction soldering. It is proposed to use and develop inductors of various diameters (60, 90 and 135 mm) to create an induction unit that allows connecting pipelines of oil and gas equipment in order to increase the reliability of equipment and the efficiency of oil and gas production and processing.
Application of the digital model thermal errors of machine tools in automated production
Authors: Pozevalkin V V , Polyakov A N 
Published: November 2021

Abstract
The article presents a predicting method for a machine tool thermal error based on a nonlinear autoregressive neural network with an external input, as well as methods for smoothing experimental data obtained from measuring devices by approximation using polynomial regression and the gray systems theory. The development of accurate and robust thermal models is a critical step in achieving high productivity in thermal deformation reduction techniques on machine tools. Because thermal deformations of the machine structure caused by temperature increase often lead to thermal errors and reduce the accuracy of machining parts. The use of neural networks is a promising direction in solving forecasting problems. The authors propose a block diagram of a thermal process digital twin based on a neural network, which can be used in automated production. The results of the experiment carried out for the machine model 400V are obtained in the form of an assessment of approximation quality and accuracy of the forecasting model. The results show that the use of the proposed smoothing methods and a model for predicting a machine tool thermal error based on a neural network can improve the forecast accuracy.
Analysing detection bands of two-spectral reflection method to identify forest species composition
Authors: Belov M L , Belov A M , Gorodnichev V A , Alkov S V 
Published: November 2021

Abstract
The optical reflection method is considered for detection of the forest areas where coniferous or broadleaved trees are dominant. Statistical modelling of correct detection and false alarm probabilities for identifying dominant (coniferous or broadleaved) tree species by the two-spectral reflection method has been conducted. It has been shown that monitoring enables us to identify dominant (coniferous or broadleaved) tree species with correct detection probability close to 1 and false alarms probability ~ second decimal places for the temperate climate zone at the wavelengths of 532 and 1540 nm or 532 and 1480 nm. As to the subtropical climate zone, due to a great variety of reflection spectra of vegetation, a selection of the spectral detection bands for reliable identification of dominant coniferous or broadleaved tree species is possible only for specific forestlands where the number of evergreen broadleaved and coniferous tree species is relatively small.
Liquid metal sliding contacts for electric machines
Authors: Egorov A V , Kaizer Yu F , Lysyannikov A V , Kuznetsov A V , Bezborodov Yu N , Shram V G , Kuzmin N V , Kuznetsova P A 
Published: November 2021

Abstract
The electric sliding contact in the brush mechanism is one of the most unreliable components of electric machines of alternating and direct current and other electrical equipment in which the transmission of electric current is carried out using sliding contacts that require fairly frequent maintenance and can be a source of sparking. It is possible to increase the reliability and efficiency of electric machines with sliding electric contacts by replacing the dry friction mode with the liquid friction mode in the sliding electric contact. The most appropriate material for use in the construction of a liquid metal sliding contact is gallium. When replacing the sliding electrical contacts of asynchronous electric machines with a phase rotor from traditional solid to liquid metal gallium, it is possible to increase their power up to 1.4 times due to the availability of a higher thermal operating mode.
Development of a mathematical model to demonstrate the impact on the fan blades of a high dual-circuit turbofan engine
Authors: Shavelkin D S , Kaigorodova V A 
Published: November 2021

Abstract
A mathematical model describing the impact of a foreign object (bird) on the fan blades of a turbofan engine with a high degree of dual circuitry was developed. The validation of the calculation studies was evaluated based on the examination on the prototype engine. Considering the increasing application of composite materials in the designs of prospective aviation gas-turbine engines and assuming the importance of the issue related to providing a sufficient level of airworthiness special attention is paid to the modeling and assessment of the condition of composite fan blades. In this connection the developed model allows to investigate the stress-strain state of the blades made of different, including composite materials, of the fan under the influence of foreign objects and birds on them.
Comprehensive assessment of the production of a pipe billet with a flange by forging at various temperature conditions
Authors: Bogdanov S B , Alekseev A V , Gribachev Y V 
Published: November 2021

Abstract
With the help of QForm simulation software, a comprehensive assessment of the production of a pipe billet with a flange is carried out. The paper studies the influence of the temperature of the die tooling on the technological extrusion force, the stress-strain state in the workpiece, as well as the change in the temperature of the semi-finished product, die and punch in the process of hot forging. The article presents the force graphs, the maximum values of the intensity of stresses and the intensity of deformations in the part, as well as the highest values of temperatures.
Quality control in cyber-physical systems of smart electronics manufacturing
Authors: Dzyubanenko A A , Korshunov G I 
Published: November 2021

Abstract
The creation of high-tech smart industries is observed in dynamically developing industries, which include the production of electronics and the automotive industry. The concept of “smart manufacturing” is closely related to the concept of cyber-physical systems, which integrates the main elements of digitalization and intellectualization. This concept provides for the continuous improvement of intellectual “cybernetic” resources for the effective management of the “physical” environment considered in this problem area. Improvement of technologies, ensuring high rates of reproducibility and suitability of equipment creates conditions for defect-free production. However, there remain the problems of recognizing patterns represented not by an obvious marriage, but by some not fully defined inconsistency on a set of requirements. The need to disclose uncertainties of this kind is typical for surface mounting technologies for printed circuit boards. The introduction of more and more advanced automatic optical inspections, containing the possibility of introducing intelligent (cybernetic) means, creates conditions for improving the quality of printed circuit boards as a “physical” environment. It is also important to minimize the “human factor”, the presence of which is still used when making decisions on the results of control. In the article, ensuring the rhythm of digital production and increasing the reliability of control in quality management in smart high-tech industries using the example of electronics production.