bluuebunny/crossref_metadata_2025 huggingface dataset:
State of Independence Institutes of Justice in the Russian Federation: Sociological Research
Authors: Bochkarev Sergei Aleksandrovich
Published: December 2019

This article is devoted to the study of the results of the sociological state of the domestic justice system. The relevance of the study is due to a number of fundamental factors. First, justice is an integral and integral part of the ontological basis of any civilized society. It is called upon to serve society as clamps and ensure its internal stability by reducing the level of antagonism and fair resolution of conflicts. Secondly, justice as the key value of society works on protecting its ideals and the idealization of society itself, serves as a motive for self-criticism and a mechanism for self-improvement. Thirdly, according to the level of independence and independence of the justice system in the modern world, it is estimated the development of society and its institutions, the culture of its goals and the values professed. By virtue of the noted fundamental factors, the Laboratory of Political and Legal Research of Lomonosov Moscow State University was developed, and the Russian Foundation for Basic Research supported a scientific and sociological project to obtain objective and reliable information about the state of the domestic justice system. At the same time, a new feature of the project was the proposal to explore the topic “from the inside”, in contrast to other projects, to generalize and analyze the opinions of the main subjects of justice on the level of their own independence and independence as the center and structure-forming elements of the system. Thus, the fundamental scientific task of research is in the knowledge of the “internal” laws of the functioning of the domestic justice system and the mechanisms for its adoption by the main representatives of law enforcement decisions in Russian realities. In this regard, for the first time, an attempt was made to conduct a focused and full-fledged study of the state of independence of law enforcers through clarification of their internal well-being and attitude to power, public opinion, the media, their own leadership and professional environment. Taking into account the task, specialists initially developed a set of indicators for measuring the state of independence of investigators, prosecutors and judges, as well as criteria for assessing the level of pressure on them and interference with their procedural activities. Then, a large-scale sociological survey of officials at various levels, directly carrying out the law-applying functions in the system of judicial authorities of the Russian Federation - judges, prosecutors and investigators. According to the results of the analysis and formulated findings of the survey. As part of the survey, more than 800 law enforcement officers of the Russian Federation were interviewed: judges, prosecutors and investigators from different regions of the country. The author has formulated conclusions on the results of the study.
Prosecutor’s Supervision and Management of the Inquiry on Political Crimes in the Russian Empire (Regulatory Framework)
Authors: Gorbachev V P
Published: December 2019

The article, based on the normative and archival materials, considers the issues of prosecutor’s supervision and management by the gendarme and the police inquiry about political crimes in the Russian Empire after the judicial reform of 1864. The inquiry of such crimes was of two types: formal (criminal procedural) and administrative (protective). The Prosecutor’s office managed directed by inquiry by giving instructions on cases. The supervision was manifested itself in the coordination with the Prosecutor’s office of certain actions of the gendarmerie and the police officers, in the presence of prosecutors during investigative actions, in studying the materials of the inquiry, cancellation of illegal decisions, reviewing complaints about the actions of the gendarmerie and the police, addressing issues of responsibility for violations, etc. Forms and features of Prosecutor’s supervision for each of the specified types of inquiry are considered. It is concluded that the Prosecutor’s supervision and management of the inquiry in political cases had limited legal capacity. At the same time, compared with the management and supervision of the police inquiry on common crimes, the formal inquiry on political crimes was under more careful supervision of the Prosecutor’s office, which responded (though not always) to the revealed violations. At the same time, protective proceedings, which most affected the personal inviolability of citizens, the law almost completely withdrew from the Prosecutor’s supervision. Despite this, gradually, departmental regulations and practice have developed some forms of the implementation of prosecutorial supervision and over protective proceedings. Considered some of the inaccuracies that occur in the literature when reporting on issues of prosecutorial supervision over the investigation of political crimes.
Basic Functions of the State, Supreme Authority and State Apparatus:Criteria of Distribution and Political and Legal Content
Authors: Grachev Nikolai Ivanovich
Published: December 2019

In scientific works devoted to the functions of the state, they are not separated from the functions of the state apparatus, moreover, the functions of the latter are not emphasized. The reason for this is the actual identification of the state with the organization of public political power, its apparatus (mechanism). With this approach, it is quite natural that the functions of the state and the functions of the state apparatus are actually identical. The article substantiates the existence of any sovereign state objective organic functions: integration, adaptation, institutionalization, and management, from which the functions of the entire system of public power of the state. The General and General function of the latter is the public (state) management of all socially significant Affairs in the state, which ensures its maintenance, preservation and reproduction of its own systemic integrity, and, where necessary, reform and development. All areas and activities of public authority, which in the theory of state and law is called the functions of the state actually act as a function of the state apparatus. According to their content, they are activities for the management of the entire system of public power by individual branches and spheres of public life and can be classified on a variety of grounds: internal and external; basic and non-basic (auxiliary); economic, social, cultural, administrative and political, etc. Their distribution between different levels, levels and bodies of the state apparatus are established by the Supreme power, the main functions of which are the constituent (the establishment and reform of the state), the management of the state-organized society as a single integral organism (political leadership), the function-the role of the political center as the place of the most important strategic decisions, the function-the role of the Supreme socio-political arbiter in the state and society.
Aproximación a las características de empresas que poseen activos intangibles en el valle de aburrá y oriente cercano, Colombia
Authors: Sepúlveda Rivillas Claudia Inés , Moscoso Escobar Jenny , Lema Ruiz Cristian Camilo
Published: December 2019

In the current era, knowledge-based in intangible assets have gained significant importance in organizations for their contribution in generating competitive advantages and therefore increasing their value. However, due to the difficulties in their valuation and measurement, these resources are not yet fully disclosed in the financial statements, they have simply become a key element to explain the difference between the market value and the book value of companies.
In this sense, the research objective is deepen in the study of intangible assets, both theoretical and empirical, in order to identify the characteristics of the companies that own and manage these resources as a source of sustainable competitive advantages. With this purpose, a quantitative methodology was approached, with descriptive and correlational scope, using contingency tables, standardized corrected residuals test and Mann-Whitney U test.
The study was carried out with a sample of 64 companies, obtaining information from primary sources through a semi-structured personal interview, regarding the possession, management and valuation of intangible assets, as well as the R y D and innovation activities developed by the company. Additionally, secondary sources of information were accessed through the financial for the years 2011, 2012 and 2013, obtained through the information and business reporting system (SIREM) of the Superintendencia de Sociedades de Colombia.
The results show that the companies that own intangible assets are those of bigger size, that have employees with postgraduate training, they carry out R y D and innovation activities, they belong to scientific and technological parks and business incubators and they are located in Medellín, capital of the Department of Antioquia, Colombia. It is also concluded that in emerging economies there are significant gaps in information on intangible assets in companies.
COMPARISON STUDY OF AIR AND THERMAL OIL APPLICATION IN A SOLAR CAVITY RECEIVER
Authors: KASAEİAN Alibakhsh
Published: December 2019

Nowadays, solar dish collector with a cavity receiver is accounted as an efficient and compact system for converting solar radiation energy into thermal energy. All of the incoming solar irradiation to the dish aperture area, is concentrated at the dish focal point where the solar receiver is located. In the current study, the thermal performance of the dish collector with a rectangular cavity receiver was evaluated. Air and thermal oil were examined as the solar working fluids. The performance of the solar dish collector was evaluated at different values of the mass flow rate ranging from 0.002 to 0.06 kg/s as well as different solar irradiation ranging from 600 to 1200 W/m2. The results revealed that the collector efficiency improved with increasing the mass flow rate and solar irradiation. The thermal performance of the solar dish collector improved with application of the thermal oil as the solar working fluid compared to the air in the investigated solar system. The results indicated the higher cavity surface temperature could be achieved by using air as the solar working fluid compared to the thermal oil.
Analysis and object markup of hyperspectral images for machine learning methods
Authors:   National Research State University named after NI Lobachevsky, Gagarin Ave., 23, Nizhny Novgorod, Russia, 603950, Gromov Vladimir , Lebedev Leonid ,   National Research State University named after NI Lobachevsky, Gagarin Ave., 23, Nizhny Novgorod, Russia, 603950, Turlapov Vadim ,   National Research State University named after NI Lobachevsky, Gagarin Ave., 23, Nizhny Novgorod, Russia, 603950
Published: November 2019

The development of the nominal sequence of steps for analyzing the HSI proposed by Landgrebe, which is necessary in the context of the appearance of reference signature libraries for environmental monitoring, is discussed. The approach is based on considering the HSI pixel as a signature that stores all spectral features of an object and its states, and the HSI as a whole - as a two-dimensional signature field. As a first step of the analysis, a procedure is proposed for detecting a linear dependence of signatures by the magnitude of the Pearson correlation coefficient. The main apparatus of analysis, as in Landgrebe sequence, is the method of principal component analysis, but it is no longer used to build classes and is applied to investigate the presence in the class of subclasses essential for the applied area. The experimental material includes such objects as water, swamps, soil, vegetation, concrete, pollution. Selection of object samples on the image is made by the user. From the studied images of HSI objects, a base of reference signatures for classes (subclasses) of objects is formed, which in turn can be used to automate HSI markup with the aim of applying machine learning methods to recognize HSI objects and their states.
Application of vision systems to improve the effectiveness of monitoring compliance with technical safety requirements at industrial facilities
Authors:   ITMO, Kronverksky prospect, 49, Saint Petersburg, Russia, 197101, Ekimenko Anton , Ekimenko Ekaterina ,   ITMO, Kronverksky prospect, 49, Saint Petersburg, Russia, 197101, Shavetov Sergei ,   ITMO, Kronverksky prospect, 49, Saint Petersburg, Russia, 197101
Published: November 2019

According to the Federal State Statistics Service for 2017, over 25,000 injuries at work were registered in Russia, of which 1,138 were fatal. Studies have shown that most of the injuries in the workplace due to non-compliance with technical safety rules, namely the lack of personal protective equipment or their improper use. To improve the efficiency of monitoring compliance with the rules of technical safety at industrial facilities, this paper discusses the use of vision systems for automatic control of the availability of personal protective equipment at workers in the area of industrial work.
The regression model for the procedure of correction of photos damaged by backlighting
Authors:   National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe Shosse, 31, Moscow, Russia, 115409, Goncharova Alena , Safonov Ilia ,   National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe Shosse, 31, Moscow, Russia, 115409, Romanov Ivan ,   National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe Shosse, 31, Moscow, Russia, 115409
Published: November 2019

In the paper, we propose an approach for selection a correction parameter for images damaged by backlighting. We consider the photos containing underexposed areas due to backlit conditions. Such areas are dark and have poorly discernible details. The correction parameter controls the level of amplification of local contrast in shadow tones. Besides, the correction parameter can be considered as a quality estimation factor for such photos. For an automatic selection of the correction parameter, we apply regression by supervised machine learning. We propose new features calculated from the co-occurrence matrix for the training of the regression model. We compare the performance of the following techniques: the least square method, support vector machine, random forest, CART, random forest, two shallow neural networks as well as blending and staking of several models. We apply two-stage approach for the collection of a big dataset for training: initial model is trained on a manually labeled dataset containing about two hundred of photos, after that we use the initial model for searching for photos damaged by backlit in social networks having public API. Such approach allowed to collect about 1000 photos in conjunction with their preliminary quality assessments that were corrected by experts if it was necessary. In addition, we investigate an application of several well-known blind quality metrics for the estimation of photos affected by backlit.
Combined usage of the optical and radar remote sensing data in territory monitoring tasks
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Kopenkov Vasiliy
Published: November 2019

At the present time, a lot of problems in a sphere of fundamental sciences as well as technical and applied tasks can be solved only with the use of satellite images, since their usage reduces material, financial and time costs significantly in comparison with traditional methods. One of the modern integrated approach remote sensing processing is to join the measurements obtained from the various sources, such as optical and radar sensors, allowing to achieve a gain in comparison with independent processing due to the extension of the information volume and the opportunities of data acquisition (weather conditions, spectral ranges, etc.). However, methods of digital processing and interpretation of radar data, as well as qualitative and proven methods and algorithms for joint processing of optical and radar satellite images, has not sufficiently been well developed yet. Therefore, the development of new methods and information technology of joint analysis and interpretation of optical and radar data which are a major issue of the current paper, are certainly relevant. The paper presents an information technology for joint processing of optical and radar satellite imagery, based on training the processing procedure based on the reference values of data from sensors of the one type (optical data), followed by applying to both data types: optical and SAR data.
Surface recognition of machine parts based on the results of optical scanning
Authors:   Samara National Research University, Institute of Engines and Power Plants, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Bolotov Michael , Pechenin Vadim ,   Samara National Research University, Institute of Engines and Power Plants, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Ruzanov Nikolay ,   Samara National Research University, Institute of Engines and Power Plants, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Kolchina Ekaterina ,   Stock company «RKC «Progress», Zemeca street, 18, Samara, Russia, 443009
Published: November 2019

To predict the quality parameters of products (in particular, the assembly parameters) mathematical models were implemented in the form of computer models. To ensure the adequacy of calculations, it is necessary to have information about the actual geometry of the parts, which can be obtained using noncontact measurements of parts of the assembly. As a result of measuring parts and components using optical or laser scanner, a large dimension array of measured points is formed. After standard processing (e.g. noise removal, combining the scans, smoothing, creating triangulation mesh), the recognition of individual surfaces of parts becomes necessary. This paper presents a neural network model that allows the recognition of elements based on an array of measured points obtained by scanning.
Improving the accuracy of detecting the edges of texture objects in remote sensing images
Authors:   Vyatka State University, Moskovskaya str., 36, Kirov, Russia, 610000, Medvedeva Elena , Evdokimova Alena ,   Vyatka State University, Moskovskaya str., 36, Kirov, Russia, 610000
Published: November 2019

The authors offer a method for detecting the edges of texture objects in remote sensing images. This method is based on the evaluation of textural and brightness attributes. It is proposed to use transition probabilities for three-dimensional Markov chains with two states as texture features, averaged within a sliding window. It makes possible to improve the detection accuracy of texture objects on multichannel or multi-time snapshots. To reduce the computational resources, it is proposed to determine the signs by the bit planes of the senior, most informative digits of the digital image. The simulation results confirm the effectiveness of the proposed method.
Geometric modeling of raster images of documents with weakly formalized description of objects
Authors:   National Research Lobachevsky State University of Nizhny Novgorod, Gagarin Ave., 23, Nizhny Novgorod, Russia, 603950, Vasin Dmitry , Gromov Vladimir ,   National Research Lobachevsky State University of Nizhny Novgorod, Gagarin Ave., 23, Nizhny Novgorod, Russia, 603950, Rotkov Sergey ,   Federal State Budgetary Educational Institution of Higher Education Nizhny Novgorod State University of Architecture and Civil Engineering», Ilyinskaya St., 65, Nizhny Novgorod, Russia, 603950
Published: November 2019

In this paper, we analyze graphic documents with a weakly formalized description of objects (WFGD) and reveal their main features that influence the choice of models, methods and algorithms for processing such documents. In the framework of the development of the combinatorial-geometric approach, a geometric model for describing WFGDs with a pronounced orientation of linear objects is proposed. We also propose a technology for vectorization of raster images of WFGDs in the presence of noise in the source data. The effectiveness of an extended class of vector models (linear and segment-node models) used for describing WFGDs with a distinctive linear orientation of objects is shown, which was revealed during practical experiments on real WFGDs.
Watermarking algorithms for JPEG 2000 lossy compressed images
Authors:   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086, Fedoseev Victor ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001, Androsova Tatiana ,   1 Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086
Published: November 2019

In the paper, we propose two watermarking algorithms for semi-fragile data hiding in JPEG 2000 lossy compressed images. Both algorithms are based on the concept of quantization index modulation. These methods have a property of semi-fragility to the image quality. It means that the hidden information is preserved after high-quality compression, and is destroyed in the case of significant degradation. Experimental investigations confirm this property for both algorithms. They also show that the introduced embedding distortions in terms of PSNR and PSNR-HVS are in almost linear dependence on the quantization parameter. It allows us to control the quality at an acceptable level when information embedding.
Evaluation of different embedding methods for JPEG authentication watermarking
Authors:   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086, Egorova Anna , Fedoseev Victor ,   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001
Published: November 2019

This paper considers the applicability of different data embedding methods for semifragile watermarking systems used for JPEG image authentication. The methods include Least Significant Bit watermarking and various versions of Quantization Index Modulation. In our investigations, we tested the semi-fragility property against JPEG and compared the visual quality of the watermarked images. We also checked the watermark fragility to unacceptable modifications like median filtering, blurring, and adding Gaussian noise. Finally, we analyzed the provided tampering localization error.
Defuzzification of the initial context in Formal Concept Analysis
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Samoilov Dmitry ,   Institute for Control of Complex Systems of RAS, Sadovaya Str., 61, Samara, Russia 443020, Semenova Valentina ,   Institute for Control of Complex Systems of RAS, Sadovaya Str., 61, Samara, Russia 443020,   Samara State Technical University, Molodogvardeyskaya Str., 244, Samara, Russia, 443100, Smirnov Sergei ,   Institute for Control of Complex Systems of RAS, Sadovaya Str., 61, Samara, Russia 443020
Published: November 2019

The research field is the problem of extracting from the initial empirical material the formal concept lattice, which can serve as the basis of the formal ontology of the studied subject domain. The initial empirical material, i.e. the data of multidimensional observations and experiments, is characterized by incompleteness and inconsistency, conditioned by realities of empirical information accumulation. This leads to the fact that required for lattice building formal context can be previously presented only within the framework of some multivalued logic. It needs to be approximated in binary logic, since effective methods for derivation of formal concepts are developed only for unambiguous (binary) formal contexts. The exact solution of this problem, considering the properties existence constraints of objects in the studied subject domain, is difficult and in a certain sense is inadequate to expectations of subject exploring the subject domain. For defuzzification of the initial formal context heuristic was proposed, idea of which is to localize the approximation task of "soft" context within every group of dependent properties of each object of learning sample. The model reflecting such restrictions is formed as hierarchy of groups of dependent properties, which predetermines the recursive and multi-pass nature of the developed defuzzification algorithm.
Forecasting using predictor selection from a large set of highly correlated variables
Authors:   Novosibirsk State Technical University, K. Marksa Avenue, 20,Novosibirsk, Russia 630073, Timofeeva Anastasiia , Mezentsev Yurii ,   Novosibirsk State Technical University, K. Marksa Avenue, 20,Novosibirsk, Russia 630073
Published: November 2019

The potential of correlation-based feature selection has been explored in selecting an optimal subset from a set of highly correlated predictors. This problem occurs, for example, in time series forecasting of economic indicators using regression models on multiple lags of a large number of candidate leading indicators. Greedy algorithms (forward selection and backward elimination) in such cases fail. To obtain the globally optimal solution, the feature selection problem is formulated as a mixed integer programming problem. To solve it, we use the binary cut-and-branch method. The results of simulation studies demonstrate the advantage of using the binary cut-and-branch method in comparison with heuristic search algorithms. The real example of the selection of leading indicators of consumer price index growth shows the acceptability of using the correlation-based feature selection method.
Local approximation of discrete processes by interpolation polynomials
Authors:   Vladimir State University named after Alexander and Nicholay Stoletovs, Orlovskaya street, 23, Murom, Vladimir Region, 602264, Kolpakov Aleksandr , Kropotov Yuriy ,   Vladimir State University named after Alexander and Nicholay Stoletovs, Orlovskaya street, 23, Murom, Vladimir Region, 602264
Published: November 2019

This paper discusses the structure of the devices and their defining formulas used for local approximation using power-algebraic polynomials when the observed data are known exactly. A multichannel system for processing discrete sequences is considered. On the basis of the considered system the research of acceleration of calculations in the system from specialized computational modules is carried out. The carried out researches have shown, that the developed model of multichannel data processing system allows to reduce essentially time for data processing.
Creating methods and algorithms of adaptive control in biotechnical complexes of corrective action on human respiratory system
Authors:   Federal State Budgetary Educational Institution of Higher Education “Tula State University”, Lenina Ave., 92, Tula, Russia, 300012, Ivakhno Natalia , Zikin Sergey ,   Federal State Budgetary Educational Institution of Higher Education “Tula State University”, Lenina Ave., 92, Tula, Russia, 300012
Published: November 2019

The article describes methods of adaptive control of the preset resistance in the respiratory complexes with regard to changes in the human condition based on the results of identifying the respiratory system parameters, as well as on the results of modeling of the respiratory system presented as a combination of airway generations, the last of which ends with alveoli. The presented algorithms lay the basis for building intelligent medical systems involving adaptive corrective action.
Algebras of finitary relations
Authors:   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086, Tsvetov Victor
Published: December 2019

Algebras of finitary relations naturally generalize the algebra of binary relations with the left composition. In this paper, we consider some properties of such algebras. It is well known that we can study the hypergraphs as finitary relations. In this way the results can be applied to graph and hypergraph theory, automatons and artificial intelligence.
Distributed image processing based on the same IP-cores in FPGA-architecture
Authors:   Kazan National Research Technical University named after A.N. Tupolev, Karl Marks, 10, Kazan, Russia, 420111, Zakharov Vjacheslav , Shalagin Sergey ,   Kazan National Research Technical University named after A.N. Tupolev, Karl Marks, 10, Kazan, Russia, 420111, Eminov Bulat ,   Kazan National Research Technical University named after A.N. Tupolev, Karl Marks, 10, Kazan, Russia, 420111
Published: December 2019

The problem of processing images, i. e., two-dimensional data arrays, was solved through implementing two-dimensional fast Fourier transform (FFT) when using single-type hardware modules – IP-cores in the Virtex-6 FPGA architecture. We have shown the possibility of the parallel implementation of each stage in the two-dimensional FFT, based on four “butterfly”-type transforms (BTr) over four elements of the data array being processed. Estimations were obtained regarding time- and hardware complexity of the IPcore implementing BTrs and used in implementing the one-dimensional FFT. The results obtained can be used in estimating hardware and time consumption when performing a twodimensional FFT over an array of the pre-defined dimensionality in using existing and forthcoming distributed programmable-architecture systems.
Blockchain technology in the pharmaceutical supply chain: researching a business model based on Hyperledger Fabric
Authors:   Samara National Research University, Moskovskoye shosse, 34, Samara, Russia, 443086, Bryatov Semyon , Borodinov Aleksandr ,   Samara National Research University, Moskovskoye shosse, 34, Samara, Russia, 443086
Published: December 2019

Pharmaceutical companies that manufacture, ship and supply products face difficulties in tracking their products, allowing counterfeiters to inject counterfeit drugs into the system. This situation is observed, in particular, in the Russian market of turnover of pharmaceutical products, although the problem has long been global. The ability of blockchain systems to pinpoint the origin of data makes them particularly suitable for pharmaceutical supply chain applications. The data stored in the blockchain distributed register on the identification of drugs produced by the plant, as well as records of their movements throughout the supply chain, can accurately determine the authenticity of pharmaceutical products lying on the shelves of pharmacies. The development and implementation of such a system can be a big step towards winning the exhausting fight against the easy availability of counterfeit drugs and medical products. In the first part of this work, the main characteristics and features of the functioning of blockchain systems will be studied. In the second and final part, the designed concept of the pharmaceutical turnover control system based on the blockchain technology Hyperledger Fabric using the Hyperledger Composer development environment will be investigated.
The words separation in old Cyrillic texts with fuzzy search method
Authors:   Kalashnikov Izhevsk State Technical University, Studencheskaya str., 7, Izhevsk, Russia, 426069, Mokrousov Maksim
Published: December 2019

The article describes a solution to the problem of word separation in old Cyrillic texts after the stage of graphic character recognition on scanned documents. The article proposes an algorithm for fuzzy text search using the grammatical dictionary of the Old Russian language, with the completeness and accuracy of search results evaluate. To assess the relevance and ranking of the search results, a method for calculating the rank of the symbol recognition variant based on the TF-IDF metric is developed. The article also presents a software system of automated word search, presents the results of experiments that prove the effectiveness of the developed algorithms and programs.
Data-driven profiling of traffic flow with varying road conditions
Authors:   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086, Golovnin Oleg
Published: December 2019

The article describes the road, institutional and weather conditions that affect the traffic flow. I proposed a method for traffic flow profiling using a data-driven approach. The method operates with macroscopic traffic flow characteristics and detailed data of road conditions. The article presents the results of traffic flow speed and intensity profiling taking into account weather conditions. The study used road traffic and conditions data for the city of Aarhus, Denmark. The results showed that the method is effective for traffic flow forecasting due to varying road conditions.
Research on the use of artificial neural networks for the myocardial infarction diagnosis
Authors:   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086, Katkov Pavel , Davydov Nikita ,   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001, Khramov Alexander ,   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001, Nikonorov Artem ,   Samara National Research University, Moskovskoe Shosse 34А, Samara, Russia, 443086,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001
Published: December 2019

. In this paper, the use of artificial neural networks for the myocardial infarction diagnosis is investigated. For the analysis, 169 ECG records were taken from the database of the Massachusetts University of Technology, of which 80 correspond to healthy patients and 89 correspond to patients who have a myocardial infarction. Each signal has been reprocessed. The result of preprocessing each signal is a common segment consisting of 1000 samples. To detect myocardial infarction, a convolutional neural network consisting of two convolutional layers was used. For accuracy of the neural network leave-one-out crossvalidation was used. The best results of the experiments are obtained with the neural network for leads V1, V2, AVF.
Detection of spam using email signatures
Authors:   Vladimir State University, Orlovskaya street, 23, Murom, Russia, 602264, Sharapova Ekaterina , Sharapov Ruslan ,   Vladimir State University, Orlovskaya street, 23, Murom, Russia, 602264
Published: December 2019

Currently, unwanted emails are actively sent to the Internet. Millions copies of emails are sent simultaneously to various users. Often e-mails undergo minor modifications to complicate the detection of spam. The paper proposes options for determining the signature of e-mails that allow identify letters with the same content and structure. Content signature of the letter includes the basic phrases in the text of the e-mail with the exception of names, numeric codes, suspicious words that are not included in the dictionary. Structure signatures incorporate the same type of e-mails, such as paragraphs, tables, images. The paper shows the results of using signatures to detect e-mail spam.
Using genetic algorithm for generating optimal data sets to automatic testing the program code
Authors:   Novosibirsk State Technical University, Marksa avenue, 20, Novosibrsk, Russia, 630073, Serdyukov Konstantin , Avdeenko Tatyana ,   Novosibirsk State Technical University, Marksa avenue, 20, Novosibrsk, Russia, 630073
Published: December 2019

In present paper we propose an approach to automatic generation of test data set based on application of the genetic algorithm. We consider original procedure for computation of the weights of code operations used to formulate the fitness function being the sum of these weights. Terminal objective and result of fitness function selection is maximization of code coverage by generated test data set. The idea of the genetic algorithm application approach is that first we choose the most complex branches of the program code for accounting in the fitness function. After taking the branch into account its weight is reset to zero in order to ensure maximum code coverage. By adjusting the algorithm, it is possible to ensure that the automatic test data generating algorithm finds the most distant from each other parts of the program code and, thus, the higher level of code coverage is attained. We give a detailed example illustrating the work and advantages of considered approach and suppose further improvements of the method.
Visual-inertial odometry algorithms on the base of thermal camera
Authors:   Image Processing Systems Institute of RAS - Branch of the FSRC ", Alekseev Andrei ,   Crystallography and Photonics",   RAS, Molodogvardejskaya street 151, Samara, Russia, 443001,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Goshin Yegor ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Davydov Nikita ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Ivliev Nikolay ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Nikonorov Artem ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086
Published: December 2019

A trajectory building based on a camera data is one of the most popular tasks in the field of machine vision. In particular, this task appears when it is necessary to navigate in the absence of signals from global navigation systems such as GLONASS and GPS. In this work, study of existing methods of visual odometry for the flight trajectory restoration by shooting an infrared camera of the thermal range were conducted. To improve the accuracy, it is proposed to use the data from inertial sensors. As a result, it is shown that the proposed solution allows to successfully solve the problem of trajectory reconstruction.
Trap method in ensuring data security
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Shkirdov Danila , Sagatov Evgeny ,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Dmitrenko Pavel ,   V.I. Vernadsky Crimean Federal University, Prospekt Vernadskogo, 4, Simferopol, Russia, 295007
Published: December 2019

This paper presents the results of data analysis from a geographically distributed honeypot network. Such honeypot servers were deployed in Samara, Rostov on Don, Crimea and the USA two years ago. Methods for processing statistics are discussed in detail for secure remote access SSH. Lists of attacking addresses are highlighted, and their geographical affiliation is determined. Rank distributions were used as the basis for statistical analysis. The intensity of requests to each of the 10 installed services was then calculated.
Analysis of stable functioning of objects using machine learning
Authors:   Ulyanovsk State Technical University, Severny Venets street, 32, Ulyanovsk, Russia, 432027, Klyachkin Vladimir , Zhukov Dmitriy ,   Ulyanovsk State Technical University, Severny Venets street, 32, Ulyanovsk, Russia, 432027, Zentsova Ekaterina ,   Ulyanovsk State Technical University, Severny Venets street, 32, Ulyanovsk, Russia, 432027
Published: November 2019

Stable functioning of the technical objects is estimated using methods of the statistical process control. However this approach does not always provide the timely detection of violations. It is suggested using machine learning methods for the binary classification of object states (stable or unstable). A program has been developed for calculation in the Matlab environment which allows for analysis of impact of the learning method, classification quality criteria, method of validation set as well as methods of selection of significant indicators on the object’s stable functioning forecast precision. Stable operation of the water treatment management system, stable vibration of the hydraulic unit, machining operation process are taken as examples.
Using the bag-of-tasks model with centralized storage for distributed sorting of large data array
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Vostokin Sergey , Bobyleva Irina ,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086,   Joint Stock Company Space Rocket Center Progress, Zemetsa str., 18, Samara, Russia, 443009
Published: December 2019

The article discusses the application of the bag of tasks programming model for the problem of sorting a large data array. The choice is determined by the generality of its algorithmic structure with various problems from the field of data analysis including correlation analysis, frequency analysis, and data indexation. The sorting algorithm is a blockby-block sorting, followed by the pairwise merging of the blocks. At the end of the sorting, the data in the blocks form an ordered sequence. The order of sorting and merging tasks is set by a static directed acyclic graph. The sorting algorithm is implemented using MPI library in C ++ language with centralized storing of data blocks on the manager process. A feature of the implementation is the transfer of blocks between the master and the worker MPI processes for each task. Experimental study confirmed the hypothesis that the intensive data exchange resulting from the centralized nature of the bag of task model does not lead to a loss of performance. The data processing model makes it possible to weaken the technical requirements for the software and hardware.
An investigation of machine learning method based on fractal compression
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Minaev Evgeniy ,   Image Processing Systems Institute of RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Molodogvardejskaya street 151, Samara, Russia, 443001
Published: December 2019

In this article the method of machine learning with cyclic fractal coding and the use of domain block dictionary, adapted for use on mobile platforms, with optimization of performance and volume of stored fractal images is investigated. The main idea of the method is to use the fractal compression method based on iterated function systems to reduce the dimension of the original images, and to use cyclic fractal coding to represent the class of images. As a result of research of the method it was found that the share of correctly recognized objects on MSTAR averages 0.892, the recognition time averages 254 ms. The achieved results are acceptable for use in mobile platforms, including UAVs and ground autonomous robots.
Dynamic game task of executors incentives in projects for the development of new production in continuous time
Authors:   Samara National Research University, Moskovskoye shosse, 34, Samara, Russia, 443086, Pavlov Oleg
Published: December 2019

The article explores the incentive problem of executors of the new products development project at the industrial enterprise in continuous time. In the process of developing new products, the learning curve effect manifests itself, which leads to a reduction in labor intensity, depending on the cumulative volume of production. The project for the new products development is considered as a managed hierarchical dynamic system, consisting of a project management board (principal) and executors (agents). The interaction of project participants is formalized as a hierarchical differential game. To solve the formulated dynamic problem of material incentives, the well-known principle of cost compensation was applied. The original problem is divided into the task of coordinated incentives and the task of coordinated planning. The study showed that the task of coordinated dynamic planning is for the principal to determine the optimal planned production volumes in order to minimize the labor cost of agents. The initial dynamic problem of material incentives was reduced to the optimal control problem. The problem of optimal control with continuous time was solved analytically using the Pontryagin maximum principle. The study identifies a condition to determine the optimal production volumes for coordination of the interests of the principal and agents.
Text classification using convolutional neural network
Authors:   Samara National Research University, Moskovskoye shosse, 34, Samara, Russia, 443086, Sapozhnikova Liliia , Gordeeva Olga ,   Samara National Research University, Moskovskoye shosse, 34, Samara, Russia, 443086
Published: December 2019

In this article, the method of text classification using a convolutional neural network is presented. The problem of text classification is formulated, the architecture and the parameters of a convolutional neural network for solving the problem are described, the steps of the solution and the results of classification are given. The convolutional network which was used was trained to classify the texts of the news messages of Internet information portals. The semantic preprocessing of the text and the translation of words into attribute vectors are generated using the open word2vec model. The analysis of the dependence of the classification quality on the parameters of the neural network is presented. The using of the network allowed obtaining a classification accuracy of about 84%. In the estimation of the accuracy of the classification, the texts were checked to belong to the group of semantically similar classes. This approach allowed analyzing news messages in cases where the text themes and the number of classification classes in the training and control samples do not equal.
Research of parallel algorithms for solving three-diagonal systems of linear algebraic equations on a graphical computing device using various types of memory
Authors:   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086, Pogorelskih Xenia , Loganova Liliya ,   Samara National Research University, Moskovskoe Shosse, 34А, Samara, Russia, 443086
Published: December 2019

. In this paper, we research and compare different implementations of cyclic reduction and sweep algorithms on a graphics processing unit (GPU) using different types of device memory. As a result of the work, it was found that the algorithm of the run should be used to solve the set of the tridiagonal linear system. However, the best results are shown by a parallel version of the cyclic reduction algorithm with partial use of shared memory, when solving a single linear system on the GPU.