bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTATION POSSIBILITY OF A LIKE DEEP LEARNING ALGORITHMS ON NON-DEEP NETWORKS WITH HIDDEN LAYERS
Authors: Shilovskii G. V. , Yulkova V. M.
Published: December 2021

Learning deep neural networks using the backpropagation algorithm is considered implausible from a biological point of view. Numerous recent publications offer sophisticated models for biologically plausible deep learning options that typically define success as achieving a test accuracy of around 98 % in the MNIST dataset. Here we examine how far we can go in the classification of numbers (MNIST) with biologically plausible rules for learning in a network with one hidden layer and one reading layer. The weights of the hidden layer are either fixed (random or random Gabor filters), or are trained by uncontrolled methods (analysis of main/independent components or sparse coding), which can be implemented in accordance with local training rules. The paper shows that high dimensionality of hidden layers is more important for high performance than global functions retrieved by PCA, ICA, or SC. Tests on the CIFAR10 object recognition problem lead to the same conclusion, indicating that this observation is not entirely problem specific. Unlike biologically plausible deep learning algorithms that are derived from the backpropagation algorithm approximations, we have focused here on shallow networks with only one hidden layer. Globally applied, randomly initialized filters with fixed weights/Gabor coefficients (RP/RGs) of large hidden layers result in better classification performance than training them with unsupervised methods such as principal/independent analysis (PCA/ICA) or sparse coding (SC). Therefore, the conclusion is that uncontrolled training does not lead to better performance than fixed random projections or Gabor filters for large hidden layers.
FUNCTIONAL TEST AUTOMATION SYSTEM FOR UNITY APPLICATIONS
Authors: Kugurakova V. V. , Bedrin O. A.
Published: December 2021

The tool for automatically executing and validating test sets of actions is not native to applications, which causes problems with recognizing interaction elements due to the abundance or, conversely, lack of GUI elements. This work describes the design and development of an internal tool that provides accurate recognition of interaction elements by decorating the input reading mechanisms of the Unity game engine. Previously, there were no solutions for Unity to automate success tests, testing the main flow of a use case, or other approaches for functional testing of applications, except through the mechanisms of the standard unit testing package. However, no matter how good the approach of using unit testing tools is, in order to cover all possible scenarios of actions within the project, you would have to either write your own test module for each of the aspects, or implement a complex universal system on its basis. The article's graceful workaround for the technical limitation of the standard Input class dramatically reduces the time required for the application testing phase. In addition to solving testing problems, such a form of recording user actions in a virtual environment can be used to generate training simulator scenarios, which will help to avoid the routine work of generating training tracks. So, immersion in a virtual biotechnology laboratory of an expert who can correctly pass all phases of the selected analysis (for example, ELISA) is enough to record the checkpoints of such a scenario for teaching students.
APPLICATION OF PREDICATIVE-REDEFINABLE STRUCTURES FOR MODELING A VARIATIVE DEVELOPMENT OF BIOLOGICAL PROCESSES
Authors: Perevaryukha A. Yu.
Published: December 2021

In the article we considered a new original method of organizing hybrid computing structures for simulating abrupt changes in controlled natural processes and analyzing extreme environmental phenomena. Our Method uses systems of differential equations on adjacent intervals of hybrid time with a dynamically redefined right-hand side at special moments – events. Transition conditions for such events are obtained by calculating the equations for additional characteristics. Threshold states in the dynamics of the process become a consequence of the inclusion of trigger functions. Their values on the right-hand side specifically differ from neutral only in narrow space ranges of the changing characteristics of the hybrid system, for example, initial conditions. The limits of the functions and their range of values proceed from the essence of the nonlinear effects of the biosystem we are modeling under this effect. The approach allows realizing current qualitative changes in control scenarios – such as bifurcations or the boundary crisis of an attractor. The author has investigated computational scenarios for such different processes as the collapse of fish stocks in the case of the Northern Atlantic cod and rapid outbreak of the forest pests in Australia. The outbreak of insects in the hybrid model ends spontaneously with the threshold for the exhaustion of forest resources, with a transition to ordinary for the environent fluctuations of the pest. The practical novelty of our modeling of the outbreak of pests is that extreme phenomenon in the script ends spontaneously according to the internal logic of the process. In this method, we do not need to include a change in parameters from external factors that causes a stop in reproductive activity. Similarly, the epidemic of viruses ends in the formation of collective immunity. The functions of the trigger action will allow targeted bifurcation and change the position of the extremes of dependence. The method is successfully applied to the analysis of situations of collapse of biological resources – quick and unexpected degradation of fish stocks for specialists, which is not replaced by restoration contrary to statistical forecasts. The technique is further generalized to describe a wide range of extreme processes with changes in biological systems.
FORMULATION OF THE PROBLEM OF PLANNING AIRCRAFT ROUTES WHEN SERVICING A RANDOM FLOW OF APPLICATIONS ARRIVING IN FLIGHT
Authors: Goncharenko V. I. , Lebedev G. N. , Маrtunkevich D. S. , Rumakina A. V.
Published: December 2021

The work is about process of ground facilities servicing by aircrafts group when receiving requests during the flight. In case of manned aircraft, servicing of one request refers to the flight from the point to another one. As for unmanned aircrafts, it is necessary to observe reached destination point at the specified speed and flight altitude. It is assumed that the distance between the points and the moments of requests appearing ranked by the Poisson law. Necessary condition of successful task solving is that the average service speed of the requests flow exceeds the average speed of their receipt. It was found that taking into account the randomness of requests, three flight situations are possible – the “idle” mode in service when the requests number is less than the number of unoccupied aircraft, the regular mode when the balance of supply and demand and the “peak” mode when the requests number is increased and there is a queue in service.
EMOTIONS RECOGNITION IN HUMAN SPEECH USING DEEP NEURAL NETWORKS
Authors: Shchetinin E. Yu.
Published: December 2021

The recognition of human emotions is one of the most relevant and dynamically developing areas of modern speech technologies, and the recognition of emotions in speech (RER) is the most demanded part of them. In this paper, we propose a computer model of emotion recognition based on an ensemble of bidirectional recurrent neural network with LSTM memory cell and deep convolutional neural network ResNet18. In this paper, computer studies of the RAVDESS database containing emotional speech of a person are carried out. RAVDESS-a data set containing 7356 files. Entries contain the following emotions: 0 – neutral, 1 – calm, 2 – happiness, 3 – sadness, 4 – anger, 5 – fear, 6 – disgust, 7 – surprise. In total, the database contains 16 classes (8 emotions divided into male and female) for a total of 1440 samples (speech only). To train machine learning algorithms and deep neural networks to recognize emotions, existing audio recordings must be pre-processed in such a way as to extract the main characteristic features of certain emotions. This was done using Mel-frequency cepstral coefficients, chroma coefficients, as well as the characteristics of the frequency spectrum of audio recordings. In this paper, computer studies of various models of neural networks for emotion recognition are carried out on the example of the data described above. In addition, machine learning algorithms were used for comparative analysis. Thus, the following models were trained during the experiments: logistic regression (LR), classifier based on the support vector machine (SVM), decision tree (DT), random forest (RF), gradient boosting over trees – XGBoost, convolutional neural network CNN, recurrent neural network RNN (ResNet18), as well as an ensemble of convolutional and recurrent networks Stacked CNN-RNN. The results show that neural networks showed much higher accuracy in recognizing and classifying emotions than the machine learning algorithms used. Of the three neural network models presented, the CNN + BLSTM ensemble showed higher accuracy.
ANALYSIS AND PREDICTION OF TRENDS IN THE USE OF TERMS IN COMPUTER SCIENCE BASED ON NEURAL NETWORK MODELS
Authors: Nguyen T. V. , Duong Q. H. T. , Kravets A. G.
Published: December 2021

The widespread use of information and communication technologies, database technologies and the Internet has led to the development of specialized digital libraries. These digital libraries serve a huge number of different users and play an important role as repositories and providers of information and knowledge. Therefore, the automatic extraction of useful information from texts stored in digital libraries is becoming an increasingly important research topic in the field of data mining. The article discusses the statistical analysis of texts in the digital library arXiv.org to identify the most common terms, bigrams and trigrams. After the hyper-parameters optimization process of neural network models, the trend prediction results in the use of terms in the field of computer sciences are presented. By analyzing statistics and predicting usage frequency of bigram and trigram terms our findings provide evidence that papers concerned with machine learning, reinforcement learning, generative adversarial network, convolutional neural network and recurrent neural network can be seen as main future research trend in Computer science in the next 3 years. Moreover, topics related to will experience a sudden increase in usage frequency. Being able to predict scientific trends in advance could potentially revolutionize the way science is done, for instance, by enabling funding agencies to optimize allocation of resources towards promising research areas.
METHOD FOR DETERMINING THE MISALIGNMENT OF OPTICAL-ELECTRONIC AND INERTIAL ORIENTATIONS HELICOPTER SYSTEMS
Authors: Lisitsyn V. M. , Sebryakov G. G. , Obrosov K. V. , Safonov V. A.
Published: December 2021

A unique method for determining the misalignment of the orientation of the instrumental coordinate systems of different posts of the optical-electronic system of a helicopter with each other and with an inertial navigation system is proposed. The method does not require preflight preparation, and is based on processing video information streams generated by thermal imaging and television channels of the optical-electronic system, and using information from an inertial navigation system. The method involves the helicopter performing a special maneuver, which is a rotation of the helicopter at a low altitude. This maneuver can be automated. When the helicopter rotates, trajectories of characteristic points of the underlying surface and airfield infrastructure are formed on the images. In general, the trajectories of these points are hyperbolas, which are approximated by straight lines. The parameters of these straight lines are determined using the least squares method. The angle of inclination of straight lines in the screen coordinate system determines the position of the angular velocity vector in the instrument coordinate systems. Since all the posts of the optical-electronic system measure the same vector, it is possible to determine their mismatch in roll between themselves and with the inertial navigation system. Preliminary modeling showed high potentialities of the proposed method. The method can be considered as an integral part of a more general method for coordinating coordinate systems in roll, pitch and course based on processing video streams of optical-electronic systems. When the method is used in real conditions, the errors in estimating the angular misalignment of the optical-electronic and inertial systems of a helicopter can be in units of arc minutes.
PERSONNEL MANAGEMENT BASED ON COMPETENCIES IN THE PROCESS OF SOLVING SERVICE TASKS
Authors: Bakanova A. P. , Shikov A. N.
Published: December 2021

Effective personnel management requires an individual approach when assessing employees, in order to carry out accurate analysis and informed decisions on the appointment of the best performer of work tasks and projects. The combination of professional qualities, abilities of employees, successful performance of work assignments, participation in projects has a great impact on the development process and the achievement of the company’s well-being. The article discusses algorithms for assigning competencies and their accounting in an organization, as well as an approach to the analysis of work tasks and projects for further use in finding optimal performers and employees training. In the studies, a rating was used for a specific work task, which displays data on the employee’s ability to complete a task. Existing specifications for work projects are information that contains both detailed work characteristics and requirements for performers. Requirements can be written explicitly or implicitly. In the case of n implicit knowledge and skills description that the performer must possess, the specification should be analyzed to form the necessary set of competencies and the conditions for their implementation. Integration of the specification analysis process into the overall competency management system in the enterprise allows expanding the possibility of personnel management. Understanding the situation in the organization regarding the work tasks performance through the specifications analysis allows one to identify various types of corporate knowledge and, if necessary, form new types of competencies that directly reflect specific activities within the company. The article presents an original method for seeking a suitable performer by means of a rating system for work tasks and competencies in order to develop and improve the competence base of employees for effective personnel management in the company.
SINGLE-SHOT FACE DETECTION AND RECOGNITION BASED ON CNN
Authors: Vizilter Yu. V. , Gorbatsevich V. S. , Moiseenko A. S.
Published: December 2021

The paper proposes an architecture and training method of a deep convolutional neural network for simultaneous face detection and recognition. The implemented approach combines the ideas of SSD (Single Shot Detector) and Faster R-CNN (Region proposal Convolutional Neural Networks) algorithms. Face detection is performed similarly to single-stage detection algorithms, and then a biometric template is built by employing RoI (Region of Interest) pooling layers and using the separate branch of the neural network. Training process includes three stages: pretraining of thebasic CNN for face recognition on face images, fine-tuning by using RoI pooling on in painted face images, adding SSD layers and fine-tuning on face detection. Wherein, at the latter stage, training is performed by using shared layers technology for two databases simultaneously. The main feature of the algorithm is high processing speed, which does not depend on the number of faces in the input image. For example, in case of using ResNet-34 as the core architecture for the algorithm, the required time for detecting faces and building biometric templates on an image with 100 faces is less than 13 ms. For training purposes we use CASIA-WebFace for face recognition task and Wider Face for face detection task. Testing is performed on FDDB (Face Detection Dataset and Benchmark), since this database is closer to practical applications than Wider. As long as the main practical task the developed method is intended for is face reidentification, we use Fei Face DataBase for face recognition quality testing. We obtain TPR (True Positive Rate) = 0.928@1000 on FDDB Face DataBase and FAR (Face Acceptance Rate) = 0.03309@FRR (Face Rejection Rate) = 10–4. Therefore, the proposed algorithm allows solving face detection and reidentification tasks in real time with any number of faces on an input image.
METHOD OF IDENTIFICATION OF ELEMENTS OF A COMPLEX SYSTEM
Authors: Kurilo A. A. , Kuzin P. I. , Kuzina E. I. , Sorokin M. A.
Published: December 2021

The article proposes a method of using identification in automated systems that provide identification of elements of various complex systems that are in variable conditions. The existing methods do not take into account the set of variable conditions that affect the characteristics of the identified elements of a complex system, while reducing the number of favorable outcomes in the process of identifying elements in the composition of electronic means. The proposed method makes it possible to increase the reliability of identification of elements of a complex system that are in various variable conditions by creating standards and implementations that correspond to the conditions in which the identified elements of a complex system are located. A formalized algorithm for implementing the methodology is presented. The distinctive features of the developed method are the automatic determination of the reliability of recognition of elements of a complex system in non-stationary conditions.
NUMERICAL IMPLEMENTATION OF A PARALLEL ALGORITHM FOR SOLVING THE PROBLEM OF POLLUTANT TRANSPORT IN A RESERVOIR ON A HIGH-PERFORMANCE COMPUTER SYSTEM
Authors: Nikitina A. V. , Chistyakov A. E. , Atayan A. M.
Published: December 2021

The purpose of this work is to create a software package for a distributed solution of the problem of transporting a pollutant in a reservoir with complex bathymetry and the presence of technological structures. An algorithm has been developed for the parallel solution of the problem of transporting a pollutant (pollutant) in a reservoir on a graphics accelerator controlled by the CUDA (Compute Unified Device Architecture) system; a comparative analysis of the operation of algorithms on a CPU (Central Processing Unit) and on a graphics accelerator GPU (Graphics Processing Unit) made it possible to evaluate their performance. The software implementation of the modules included in the complex is described, the main classes and implemented methods are documented. The results of numerical experiments showed that solving of pollutant transport’s problem based on the CUDA technology is ineffective for small grids (up to 100 ´ 100 computational nodes). In the case of large grids (1000 ´ 1000 computational nodes), the use of CUDA technology reduces the computation time by an order of magnitude. An analysis of the experiments carried out with the developed components of software showed that the maximum value of the ratio of the algorithm operating time that implements the set task of transferring matter in a shallow water on a GPU to the operating time of a similar algorithm on the CPU was 24.92 times, which is achieved on a grid of 1000 ´ 1000 computational nodes. Implementation of methods for decomposition of grid regions is proposed for solving computationally laborious problems of diffusion-convection, including the problem of transporting pollutants in a reservoir with complex bathymetry with technological objects that take into account the architecture and parameters of a MSC (Multiprocessor Computing System) located on the basis of the infrastructure facility of the STU (Scientific and Technological University) “Sirius” (Sochi, Russia). Consideration was made for such a property of a computing system as the time it takes to transmit and receive floating point data. An algorithm for the parallel solution of the task under the control of MPI (Message Passing Interface) technology has been developed, and its efficiency has been assessed. The acceleration values of the proposed algorithm are obtained depending on the number of involved computers (processors) and the size of the computational grid. The maximum number of computers used is 24, the maximum size of the computational grid was 10 000 ´ 10 000 computational nodes. The developed algorithm showed low efficiency for small computational grids (up to 100 ´ 100 computational nodes). In the case of large computational grids ( from 1000  1000 computational nodes), the use of MPI reduces the computation time by several times.
METHODOLOGY FOR MODELING AND ENSURING INFORMATION SECURITY IN RESOURCE MANAGEMENT
Authors: Zakoldaev D. A. , Grishentsev A. Yu.
Published: December 2021

The subject of research is an information security in resource management based on the mapping of technological processes of transformation and movement of resources into the phase space. The aim of the research is to develop a methodology, as a set of methods and tools united by a common ideology for information security. The methodology is formed by a set of the following methods and means: method and means of structural modeling, information security analysis and construction of production and technological models, in the form of executable block diagrams, based on predefined block elements of production and technological processes; method and tools of integrating an adversary into the production and technological process model, as a structural part of the executable block diagram of the production and technological model; a method for analyzing and selecting the trajectory of resource movement in the production and technological space based on structural modeling using optimization methods based on the risk minimization criterion for given values of acceptable and acceptable ranges (min,max) of resource transformation and changes in the state of production processes. The set of developed methods is united by the following ideology: methods and tools of forming an information security policy for objects of all levels of the hierarchy of the traffic management system and resource transformation. The result of the research is the formalization of the methodology and the methods and tools that form it to the level of readiness of application to solve practical problems. The scope of application of the proposed methodology and its methods and tools: solving problems of information security at enterprises and in industries by modeling, monitoring and analyzing the trajectories of the movement of resources and the state of production and technological processes.
MODEL OF AN INFORMATION SECURITY INTRUDER FOR AN OBJECT OF CRITICAL INFORMATION INFRASTRUCTURE OF A TRANSPORT SERVICES TRADING PLATFORM
Authors: Pavlicheva E. N. , Fedin F. O. , Chiskidov A. S. , Glybin N. F.
Published: December 2021

The paper presents an approach to the formation of a string model of an intruder of information security of objects of critical information infrastructure of trading platforms for transport services, based on an assessment of the violator's capabilities for physical and logical access to information, an assessment of his competence, equipment and motivation. The prerequisites for the appearance of an infringer of information security of objects of critical information infrastructure are considered. It is described which subjects can act as violators of information security objects of the critical information infrastructure of the transport services trading platform. It is presented as a CASE tool for structural analysis and modeling of CA ERWin Process Modeler, operating in the mode of using the IDEF3 standard to build a model of an information security intruder. Opportunities for physical and logical access, as well as competence, based on the predicted values of the general technical knowledge of the information security violator, were assessed. Methods for assessing motivation and equipment are considered, classifications of the information security violator of the critical information infrastructure of the transport services trading platform are given, in accordance with these assessments. The developed model of information security of the CII facility of the transport services trading platform is presented, the use of which will allow as quickly and clearly as possible to assess the potential of an infringer of information security of the critical information infrastructure of the object in question.
DEVELOPMENT OF AN ALGORITHM FOR FINDING ANOMALIES IN WEATHER REPORTS TO IMPROVE THE QUALITY OF FORECASTS
Authors: Yashchenkov K. G. , Dymko K. S. , Ukhanov N. O. , Khnykin A. V.
Published: December 2021

The issues of using data analysis methods to find and correct errors in the reports issued by meteorologists are considered. The features of processing various types of meteorological messages are studied. The advantages and disadvantages of existing methods of classification of text information are considered. The classification methods are compared in order to identify the optimal method that will be used in the developed algorithm for analyzing meteorological messages. The prospects of using each of the methods in the developed algorithm are described. An algorithm for processing the source data is proposed, which consists in using syntactic and logical analysis to preclean the data from various kinds of noise and determine format errors for each type of message. After preliminary preparation the classification method correlates the received set of message characteristics with the previously trained model to determine the error of the current weather report and output the corresponding message to the operator in real time. The software tools used in the algorithm development and implementation processes are described. A complete description of the process of processing a meteorological message is presented from the moment when the message is entered in a text editor until the message is sent to the international weather message exchange service. The developed software is demonstrated, in which the proposed algorithm is implemented, which allows to improve the quality of messages and, as a result, the quality of meteorological forecasts. The results of the implementation of the new algorithm are described by comparing the number of messages containing various types of errors before the implementation of the algorithm and after the implementation.
GEOMETRIC MODELING OF MULTI-FACTOR PROCESSES BASED ON VARIABLE POINT ALGORITHMS
Authors: Konopatskiy E. V. , Seleznev I. V. , Lagunova M. V. , Bezditniy A. A.
Published: December 2021

In this paper, the geometric theory of multidimensional interpolation was further developed. It has been established that the geometric models of multivariate processes obtained using multidimensional interpolation are characterized by variability, which is a consequence of the multiplicity of choice of reference lines in the process of developing a geometric modeling scheme. At the same time, all possible variations of geometric interpolants fully satisfy the initial experimental and statistical data, but have different curvature between the node points of the interpolation. As the dimension of the space increases, the number of variations increases significantly. The variable approach to geometric modeling of multifactorial processes generates a number of scientific problems that require further research, such as: comparison of geometric objects of multidimensional space, development of criteria for choosing the best solutions, construction of averaged geometric objects as one of the tools for optimizing the results of modeling, etc. The article also presents the results of a computational experiment on geometric modeling of the dependence of the physical and mechanical properties of fine-grained concrete on the composition of the combined aggregate based on variable point algorithms with the subsequent construction of an averaged response surface, the current point of which is the center of gravity of a multidimensional tetrahedron, for which the dimension of space depends on the amount possible interpolation options.
DETERMINING THE SEMANTIC PROXIMITY OF NEWS MESSAGES BASED ON TITLES ANALYSIS
Authors: Lagerev D. G. , Makarova E. A.
Published: December 2021

The paper is devoted to the peculiarities of using data from unstructured sources, such as social networks, online media, etc. for the development of management decisions. The issue of analyzing such sources in the process of developing and making managerial decisions in the socio-economic sphere is considered. The difficulties of processing unstructured data are described, such as the impossibility of fully automatic evaluation of the semantics of data, the presence of a large amount of duplicate information. Various approaches to determining ratings and various metrics of sources and messages are described. The problem of identifying duplicate messages is considered using the example of online media both by full texts and by titles. Under the duplicate of a news message in this context refers a repetition of a significant amount of information from it in another article. If the text of a news message (article) is not repeated verbatim, it is impossible to determine the degree of duplication of the meaning of the article without involving human expertise. There are various metrics for assessing the similarity (semantic proximity) of textual information that can help in this matter. Some of them are described in the article. An adaptation of the Word Mover Distance method for the Russian language is proposed and the Word2Vec model is trained for its use. A hybrid approach to identifying and eliminating duplicate messages as part of the preprocessing of unstructured data in the context of managerial decision-making is proposed. According to the results of the experiments, depending on the chosen method, it was possible to automatically determine based on the publication time and the analysis of titles from 43 to 74 % duplicates.
CALCULATING THE BOUNDARIES OF THE AIRCRAFT EXIT ZONE TO A SET POINT
Authors: Korsun O. N. , Stulovsky A. V. , Nikolaev S. V.
Published: December 2021

The article considers the method of calculating the boundaries of the exit zone of the aircraft to a given point based on the optimal control method. To find the optimal control, it is proposed to use a direct method based on parameterization of the desired control signals using third-order Hermitian splines. The choice of Hermitian cubic splines was motivated by the fact that these splines and their first order derivatives are smooth and continuous functions, on the one hand, and, on the other, do not require the additional solution of algebraic equations to meet the specific conditions in spline nodes which is obligatory for classic cubic splines. Spline parameters estimation is achieved through solution of the unconditional multiparametric optimization problem. The target functional includes the squares of mismatches between the desired output signals and the object model output signals. In this paper the parameter estimates are obtained using the widely known numerical optimization algorithm – the particle swarm method. The paper considers the aircraft motion in the vertical plane, for which a mathematical model of the control object is formed and the target functional is formulated. The proposed solution is advisable to apply when calculating the optimal trajectories and flight profiles of aircraft when planning their functioning for the designed purpose. The developed method allows solving a number of tasks in the process of modern aircraft design and flight tests. The application of the proposed method, the required structure of the mathematical model of the object and the features of the formation of the minimized functional are shown in a specific example.
METHODS FOR CONSTRUCTING A DISTRIBUTED SCHEMATIC CAD-SYSTEM BASED ON SERVICE-ORIENTED ARCHITECTURE AND DATA PACKAGING
Authors: Gridin V. N. , Anisimov V. I. , Vasil'ev S. A.
Published: December 2021

The article discusses the evolution of service-oriented architecture. The prerequisites for the emergence of an architectural style for the development of distributed service-oriented software systems based on the ESB bus are determined. A standardized ESB bus structure is provided with the assignment of basic and optional components. The main advantages and disadvantages of SOA architecture based on the use of ESB bus, as well as its impact on the development of service-oriented architecture are considered. The principles of construction and organization of distributed web-oriented systems based on microservice architecture are determined. The main advantages and disadvantages of microservices, both the architectural approach and the organization of the development process, are given. Serverless technologies for building information systems are considered as a stage in the evolution of a service-oriented architecture based on a paradigm shift towards an event-driven approach of the participants of the software complex. The structure of distributed web-oriented systems and the purpose of their components built on the basis of a serverless architectural approach are determined. Middleware is proposed to propagate a transaction between the components of a serverless event-driven system and to cancel it, if it is incomplete. The paper describes the methodology for constructing mathematical and software support for automation systems for circuit design based on data packaging. The main tasks of automation of circuit design are given. The efficiency of known methods of matrix packing, their advantages and disadvantages of use are considered. The modernization of the description separation method by means of a two-stage array formation technology is proposed. The scheme and algorithm for the practical implementation of the two-stage technology of array formation are described. An algorithm for the transformation of the vector X is given in the final calculation of the variables of the modeled circuit, taking into account the permutations in the case of LU-factorization.
GEOMETRIC MODELS OF THE CHASE METHOD ON THE PLANE AND ON THE SURFACE DELIVERY
Authors: Dubanov A. A.
Published: December 2021

In this article models of the pursuit method in the pursuit problem. The considered models are based on the correction of the vector of the direction of motion. Suppose, on a plane, the intended direction is the line of sight of the pursuer and the target. Correction of the direction of movement consists in the rotation of the velocity vector until it coincides with the line of sight. When constructing trajectories on the surface, a line of sight is built on the horizontal projection plane. After calculating horizontal projections, all points are projected back onto the surface. Have been developed models for calculating the trajectories of the pursuer and the target in the problem of studying the plane and on the surface. Modifications of the mathematical models of the methods of parallel dropping and chasing were made in relation to the plane and the surface. In our models and algorithms, the speed of the pursuer can be directed arbitrarily. With the modification of the parallel displacement method, the straight line of this movement was replaced by a predicted trajectory of movement at a point in time, which moves to itself. When modifying the chase method, the line of sight was also replaced with a compound curve, taking into account the restrictions on the curvature of the pursuer trajectory. These models can be in demand by developers of autonomous unmanned vehicles equipped with artificial intelligence systems.
ASSESSMENT OF THE THREAT OF COLLISION OF AN UNMANNED VEHICLE WITH OTHER VEHICLES BY LASER LOCATION INFORMATION
Authors: Obrosov K. V. , Kim V. Ya. , Lisitsyn V. M.
Published: December 2021

The problems of using two-beam Laser Locators (LL) on Unmanned Vehicles (UV) are analyzed. The article discusses the solution to the problem of automatic assessment of the possibility of collision of a UV with other traffic participants based on information generated by the LL. LL performs controlled scanning of the road surface at a given distance from the vehicle. To generate the error signal in the tilt angle control loop, a special filtering of the correction sequence is applied. Such filtering eliminates numerous outliers and forms a sample of correction values that do not lead to abrupt changes in the road sensing range. The modeling of the system is performed, the adequacy of which is due to the results of the conducted field experiments with a real LL. It is shown that the threat of collision arises if the vehicle speed is in a certain (dangerous) interval, the boundaries of which are functions of the following arguments: – the angle between the tangents to the trajectories of the UV and the vehicle during the LL measurements “angle-angle-range”; – distances between the UV and the vehicle at the same time interval. Tasks solved: – estimates of the angle and distances between the UV and the vehicle based on the current LL measurements “angle-angle-range”; – determination of the boundaries of the dangerous range of vehicle speeds at known UV speeds and dimensions of the UV and vehicle; – estimation of the vehicle speed according to LL measurements “angle-angle-range”. Simulation methods were used to determine the accuracy of estimates of the boundaries of the vehicle speeds dangerous range, which made it possible to create an algorithm for warning about a possible collision.
PAPER2VEC AND CITE2VEC METHODS FOR ANALYZING COLLECTIONS OF SCIENTIFIC PUBLICATIONS
Authors: Tikhonov N. I.
Published: December 2021

Collections of scientific publications are growing rapidly. Scientists have access to portals containing a large number of documents. Such a large amount of data is difficult to investigate. Methods of document visualization are used to reduce labor costs, search for necessary and similar documents, evaluate the scientific contribution of certain publications and reveal hidden links between documents. The methods of document visualization can be based on various models of document representation. In recent years, word embedding methods for natural language processing have become extremely popular. Following them, methods for analyzing text collections began to appear to obtain vector representations of documents. Although there are many document analyzing systems, new methods can give new understandings of collections, have better performance for analyzing large collections of documents, or find new relationships between documents. This article discusses two methods Paper2vec and Cite2vec that get vector representations of documents using citation information. The text provides a brief description of the considered methods for analyzing collections of scientific publications, describes experiments with these methods, including the visualization of the results of the methods and a description of the problems that arise.
Why am I learning English? Spanish EFL sports science university students´ motivational orientations through the prism of the L2 motivational self system
Authors: Bobkina Jelena , Gómez-Ortiz María-José , Núñez del Río María Cristina , Sastre-Merino Susana
Published: December 2021

The study explores the motivational profiles of Spanish EFL sports science university students from the second language (L2) motivation self system (L2MSS) perspective to ultimately support Spanish higher institutions´ plans committed to improving employability and competitiveness. The study analyzes the relationships between L2 motivation, L2 proficiency, gender, and L2 contextual variables using data from 196 English as a foreign language (EFL) sports science university students. The data reveal that the ideal L2 self construct stands out as the most salient and powerful factor, while the ought-to and rebellious L2 selves are less significant and there are items loading on both of them at the same time. Thus, higher means for the ideal L2 self motivation correspond to higher levels of L2 proficiency and are supported by L2 learning contextual variables. The strongest ought-to L2 self was registered in students with mid-low L2 proficiency and a lack of L2 learning experiences. Meanwhile, the rebellious L2 self is clearly distinguishable only for students with high L2 proficiency. Pedagogical and curricular implications of these findings are that the ideal and the rebellious L2 selves could positively predict students´ L2 proficiency. Thus, new dynamics of education should explore language teaching methodologies that are more likely to enhance students´ ideal and rebellious L2 selves.
Review of Individual differences in language learning: A complex systems theory perspective; Authors: Carol Griffiths, Adem Soruç; Publisher: Palgrave Macmillan, 2020; ISBN: 978-3-030-52900-0; Pages: 220
Authors: Ma Mengyao , Gao Xuesong (Andy)
Published: December 2021

Book Review: Individual differences in language learning: A complex systems theory perspective. Authors: Carol Griffiths, Adem Soruç. Publisher: Palgrave Macmillan, 2020. ISBN: 978-3-030-52900-0. Pages: 220.
Etyczny wymiar badań nad przygotowaniem i zastosowaniem szczepionki przeciw COVID-19
Authors: Szczodry Marcin
Published: December 2021

Pandemia wywołana koronawirusem SARS-CoV-2 uruchomiła wyścig w celu znalezienia szczepionki na COVID-19 i na nowo otworzyła pytania natury etycznej, które są aktualne przy każdorazowo podejmowanych badaniach i poszukiwaniach w celu znalezienia adekwatnej szczepionki na choroby zakaźne, na które brak jeszcze skutecznej ochrony. Artykuł przedstawia problemy etyczne związane z procesem przygotowania szczepionki w fazie eksperymentów i badań oraz kwestie etyczne związane z dystrybucją i dostępnością szczepień, gdy szczepionka jest już dostępna na rynku. Międzynarodowe dokumenty, m.in.  Światowej Organizacji Zdrowia, dokumenty Kościoła i dyskusja w środowisku bioetycznym wskazują, iż temat ten jest niezwykle ważny i nie można go pominąć w procesie badań i prac nad przygotowaniem nowej szczepionki. Artykuł przedstawia najważniejsze zagadnienia etyczne z tym związane: kwestię proporcjonalności ryzyka, wyrażania świadomej zgody na udział w eksperymencie, wykorzystania materiału biologicznego z niegodziwego źródła, problem metodologii i organizacji badań medycznych w trakcie pandemii, kwestię kontrolowanego zakażenia wirusem ochotników eksperymentu, problemy etyczno-społeczne związane z dostępnością i zastosowaniem szczepionki, szczególnie dla ubogich osób, dla ubogich państw. Przegląd problematyki etycznej związanej z przygotowywaniem szczepionki na COVID-19, prowadzeniem badań klinicznych na ludziach, jak również z fazą szczepień w czasie pandemii, pokazuje, że jest to temat bardzo złożony i wymagający interdyscyplinarnego podejścia.
Bogdan Kulik, Głosić rodzinie Ewangelię o życiu wiecznym, Wydawnictwo „Bernardinum”, Pelplin 2021, ss. 184, ISBN 978-83-8127-611-5
Authors: Dudziak Urszula
Published: December 2021

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Padre dei “figli prediletti di Dio” e Papa della famiglia - due maestri e annunciatori del Vangelo della vita
Authors: Wojtkun Jarosław
Published: December 2021

Jednym z istotnych tematów podejmowanych zarówno przez błogosławionego Prymasa Stefana Wyszyńskiego, jak i w nauczaniu św. Jana Pawła II, był temat życia. Wartość życia obejmuje zarówno wymiar doczesny, jak i nadprzyrodzony udział życia Bożego w człowieku. Prymas Wyszyński i Papież Polak upominali się konsekwentnie o poszanowanie nienaruszalnego charakteru życia od poczęcia do naturalnej śmierci. O pięknym kształcie życia decyduje łaska Boża w człowieku. Wrażliwość na piękno duszy człowieka jest jednym z istotnych czynników nauczania Jana Pawła II, jak też charakteryzujących osobę Prymasa Tysiąclecia. Zagadnienie życia wiąże się także z płodnością i ojcostwem. Ojcostwo wyraża się w odpowiedzialnym wypełnianiu zadań związanych zarówno z ojcostwem duchowym kapłanów, jak też z ojcostwem fizycznym ojców w rodzinie.
Downregulation of PITX2 inhibits the proliferation and migration of liver cancer cells and induces cell apoptosis
Authors: Tuerxun Kebinuer , Zhang Shufang , Zhang Yuexin
Published: December 2021

Paired-like homeodomain 2 (PITX2) functions as a transcription factor to participate in vertebrate embryogenesis, and dysregulated PITX2 expression was associated with the progression of various cancers. The functional role of PITX2 in tumorigenesis of liver cancer remains unknown. Western blot analysis showed that expression levels of PITX2 were enhanced in the liver cancer tissues and cells. siRNAs targeting PITX2 induced downregulation of PITX2 in liver cancer cells. siRNA-induced knockdown of PITX2 decreased liver cancer cell viability and proliferation, while promoting cell apoptosis by increasing cleaved-PARP, cleaved caspase 3, and cleaved caspase 9. The knockdown of PITX2 repressed liver cancer cell migration and invasion. In conclusion, elevated PITX2 expression was associated with liver cancer progression through repression of cell apoptosis and promoting cell proliferation and metastasis, and silencing of PITX2 might serve as a potential therapeutic strategy for the treatment of liver cancer.
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∞-error estimates of a finite element method for Hamilton-Jacobi-Bellman equations with nonlinear source terms with mixed boundary condition
Authors: Miloudi Madjda , Saadi Samira , Haiour Mohamed
Published: December 2021

In this paper, we introduce a new method to analyze the convergence of the standard finite element method for Hamilton-Jacobi-Bellman equation with noncoercive operators with nonlinear source terms with the mixed boundary conditions. The method consists of combining Bensoussan-Lions algorithm with the characterization of the solution, in both the continuous and discrete contexts, as fixed point of contraction. Optimal error estimates are then derived, first between the continuous algorithm and its finite element counterpart and then between the continuous solution and the approximate solution.
Performance comparison of the wavenumber and spatial domain techniques for mapping basement reliefs from gravity data
Authors: Pham Luan Thanh , Eldosouky Ahmed M. , Gómez-Ortiz David , Duong Van-Hao , Abdelrahman Kamal , Alzahrani Hassan
Published: December 2021

Estimating the density interface depth is an important task when interpreting gravity data. A range of techniques can be applied for this. Here we compare the effectiveness of the wavenumber and spatial domain techniques for inverting gravity data with respect to basement reliefs. These techniques were tested with two synthetic gravity models, and then applied to a real case: the gravity data of the Magura basin (East Slovakian Outer Carpathian). The findings show that the spatial domain technique can precisely estimate the structures, but the computation speed is slow, while the wavenumber domain technique can perform faster computations with less precision.