Reliability is largely for web-based systems are defined by quality and efficiency, i.e., the property of system to save time within the established values of all parameters characterizing the ability of a system to perform required functions within specified modes and conditions of operation. This research article is an analysis software for building distributed and reliable web systems, and is a study of criteria for comparing the software. In the process of selecting software professionals need to analyze it in accordance with defined criteria to evaluate the possibility of using this software package for the solution of technical problems and ensure the needs of the users. Experts in the field of distributed web systems there are several software systems to solve the problem of building such systems: 1C-Bitrix 24, 365, Microsoft Dynamics, Microsoft SharePoint. These software systems allow for the implementation of distributed systems. To simplify the process of selecting a software product needs to have criteria by which to evaluate a product. In this article the review of software products, identifying evaluation criteria, and comparison according to the criteria of the selected products.

Keywords: the web system, distributed information system, system reliability, scalable, cluster technology, and managed system

Introduction: The paper discusses methods to solve the problem of searching inactive queries for Oracle Databases in example . If there are no clear reasons for Deterioration of performance, database managers need to analyze very large amounts of statistical information provided by database management. The aim of study: to visualize the information, it is proposed to perform initial intellectual analysis the formation of a parameters model for the query to classify and Separate set of requests. Scope of work . Each query is described by three sets of parameters: specified query execution plan parameters, real implementation plan parameters, and the characteristics of the implementation environment. its consider according to the characteristics, purpose and importance of each set of parameters and the methods to get them .its depends of selection the parameters to use in SQL query model ,query execution conditions and data base settings (DBS). Moreover, its depends on fails in the nature of the system for client programs. Problem statements. The problem is formulated by the dynamic formation in the inactive SQL query model from some of sets parameters that already contained identifiers. Conclusion: The proposed of this approach will speed up the search for inactive queries and can be extended to others databases, with consider their characteristics.

Keywords: SQL, query, DBMS, Oracle, inefficient SQL query, grouping, clustering

In this paper, we describe three target distribution methods for vehicle group control. The purpose of the methods being developed is to increase the number of defenders who survived after the fight with the enemy. The first method introduces a priority system based on the distance to the robot, as well as the distance to the protected area. The second method is based on the application of the modified swarm particle method, and the third method is based on the evolutionary-genetic algorithm. To demonstrate the work of each method, software was developed in C # and Python. The performed simulation showed the effectiveness of each method developed. Sixty experiments were carried out, 3 parameters were evaluated in each experiment. The best results were achieved using a method based on the priority system.

Keywords: vehicle, group control, priority, target distribution, optimization, particle swarm optimization, evolutionary-genetic algorithm, heuristic method

The cryptanalysis task with use of new model of optimizing strategy – the combined bioinspired algorithm is considered. Application of the combined bioinspired algorithm (a genetic algorithm and an algorithm of ant colonies) for realization the cryptanalysis of shifts codes is described. The description of the combined algorithm is provided, his distinctive features are noted, the demonstration example of realization the cryptanalysis the ciphered text line is described by this algorithm. In relation to this algorithm it is shown that the probability of receiving an optimal variant of the decision at realization of combined cryptanalysis algorithms can't be less probability of obtaining the optimal solution when using of the classical bioinspired algorithms.

Keywords: Cryptanalysis, the bioinspired algorithms, genetic algorithm, algorithm of bee colonies, a crossingover, a mutation, the code of shifts

The features of the multidementional approach to risk management are considered, the necessity of applying methods of multidimensional risk management at various stages of risk management is justified, namely, the definition of context, analysis and risk management. Methods for multidimensional management of complex risks at each of these stages are proposed. The proposed methods, as part of a general approach to risk management, allow the introduction of new assessments of the effectiveness of risk management, reflecting, for example, the generalized risk for the system, the generalized risk of a particular risk event or risk situation.

Keywords: methods of multidimensional risk management, context definition, risk analysis, risk management

Background: The quality of electricity is one of the main problems necessary for the normal functioning of responsible technological processes in which a slight distortion of the supply voltage can lead to a violation of the normal operation of enterprises. There are several solutions to this problem: uninterruptible power systems, fast automatic power reserve technology (FAPR), dynamic voltage distortion compensator (DVDC). The most interesting solution is the application of dynamic voltage distortion. Material and methods: The principles of constructing a dynamic voltage distortion compensator with multilevel voltage inverters are investigated. An imitation model constructed under the following assumptions is proposed: an ideal case of the main circuit system (without higher harmonics) is considered, the nonlinearity of the transformer is not taken into account, short-circuit currents are absent, only constant load power is used. Assumptions are justified by the fact that in practice their error is no more than 3-5%, which is permissible. The results are obtained by modeling the system in the MatLab 2016b package. Results: A fundamentally new structural and functional scheme of a dynamic voltage distortion compensator with a multilevel system is developed. The requirements for the dynamic compensator of voltage distortion, load, LC-filters, current-voltage transformers and a converter are determined. Simulation of the simulation model has shown that the system works and corresponds to the expected results. Conclusions: The proposed voltage compensation system will solve the problem of the normal functioning of technological processes. The simulation results showed that the declared functional of the DVDC provides compensation of the voltage level in a given range of voltage dips. The obtained results can be used to stabilize the power supply: in the power supply systems of medical institutions, electric transport, critical energy facilities of a high category.

Keywords: Dynamic voltage distortion compensator (DVDC), automatic control system, operation modes of DVDC, model of the DVDC system, multilevel voltage inverter, simulation model, voltage distortion, volt-additional transformer, electric power, voltage failure

The research that results from the work presented is the means of transforming space imagery. A transformation method based on the use of projective geometry methods is proposed. A completed study of the proposed method for mathematical image and terrain models showed a high degree of accuracy and a number of advantages over traditional image transformations

Keywords: Photogrammetry, transformations, cosmic images, projective geometry

Since users can have very different preferences, the personalization of surrounding devices is of paramount importance. Several approaches have been proposed for establishing such personalization in the form of machine learning or more specialized approaches to learning based on scientific knowledge and innovations. Despite great advances in optimization, evolutionary algorithms in this context have been little studied, mainly because they are known as elements that are slow to learn. Anyway, at present there are quite fast optimizers based on evolutionary algorithms. In this article, an analysis is made of the suitability of evolutionary algorithms for "ambient intelligence".

Keywords: ambient intelligence, evolutionary algorithms, personalization, optimizer, CMA-ES, user, controller, machine Learning, sensor

A research software complex was developed to form the behavior of a mobile robot in a nonstationary environment based on the e-puck robot. The complex includes the method of additional training of the robot, cluster analysis and the modified algorithm Q-learning, which ensures the robot's movement to the target. The recognition algorithm is based on the concept of ""similarity"" between images from the robot's camera and the standard marks of object clusters formed in the learning process. Standards are formed gradually from ""similar"" labels. If the label is ""similar"" to the existing standard, then the object has already met before and the corresponding action of the robot is also defined. Otherwise, a new cluster is created, so there is additional training. The number of objects is almost unlimited. To ensure the movement of the robot to the target, the Q-learning algorithm is used with reinforcement. It is based on the use of the matrix of the expected reward Q. Knowing the current state of the environment, the robot chooses an action that is expected to bring the maximum reward. The reward is given if the target label is in a certain area of the frame of the video camera and has a certain size. Initially, the matrix Q is given randomly. In addition, at each step the matrix values change in such a way that the matrix gives optimal control in any situation. In the case of the robot e-puck, the possible actions are rectilinear motion or turn (left / right). To overcome the problem with several targets, the algorithm uses several reward matrices Q. When a new goal occurs, the algorithm creates a new reward matrix. In this modification, all matrices Q are subjected, regardless of the target the robot is looking for. The final decision on the action of the robot takes on the basis of a matrix corresponding to the current goal. Despite the difficulties and problems that have arisen, it has been possible to implement a complex that can be relatively easily transferred to another physical platform and can be used to create more sophisticated intelligent systems.

Keywords: autonomous mobile robot e-puck, Q-Learning algorithm, cluster analysis, training, recognition, digital methods of processing video images

The article describes one of the methods of machining deep grooves in the turbine rotor disk mill, analyzed the parameters of the shear layer, defined modes of processing and the main process time.

Keywords: milling techniques, the parameters of the shear layer, the maximum thickness of the cut, the cutting conditions, the cutting force, the main production processing time

The work is devoted to modeling the dependence of the temperature of the extrusion process in the melting zone on the composition of the feedstock and the rotational speed of the screw shaft. The quality of the finished product can not be determined in real time, but it depends on the values ​​of the technological parameters of the production process. Therefore, the quality of products can be controlled through the control of technological parameters. Therefore, the problem of determining the temperature dependence is an important problem. The model is obtained on the basis of experimental data from a number of alternative models. As parameters, the rotational speed of the screw shaft was used. As a criterion for the quality of the model, the sum of the theoretical model errors from the experimental data is used. As the speed of the screw shaft increases, the temperature of the extrusion process increases with a gradually decreasing rate. The resulting model of the extrusion process can be used in automatic extrusion control systems to control the quality of finished products.

Keywords: extrusion model, screw extruder, screw speed, extrusion, finished product quality

The purpose of the study is a promising, rapidly developing and demanded area of SLAM (simultaneous localiza-tion and mapping). The simultaneous location and construction of a map is a practical problem of autonomous robotics. The basic principle is to place the mobile robot in an unknown environment where it was able to gradual-ly build a consistent map of this terrain while simultaneously determining its location within the map. To date, the work is aimed at improving the efficiency of computing and solving problems in data integration. In the process of constructing a map of the environment by the mobile robot and simultaneously using it, in order to determine its location, online, the path of the platform and the location of all landmarks are simultaneously evaluated without the need for a priori knowledge of their location.

Keywords: localization and mapping, probabilistic breech-cha, extended Kalman filter, particle filter, mobile robot, re-cursive method, Gaussian

This article is dedicated to the research of existing methods of analysis and detection of persons in natural conditions. Face recognition based on image analysis is one of the main problems in the implementation of computer vision. The systems of reference measurements allow to define and develop various methods of face detection. Practical experiments were conducted and the algorithms for recognizing faces presented by scientific schools and commercial developments were considered, and also the results of evaluations on all test sets were analyzed based on the data of graphs of truly positive values for assessing the quality and speed of using MALF. Using a detailed assessment, the effectiveness of algorithms in various aspects with respect to several attributes was analyzed. Comparing performance with varying degrees of accuracy, the advantages and disadvantages of algorithms are determined when used in various work scenarios.

Keywords: computer vision, face detection, face detection, face recognition, image analysis algorithms, detection methods, reference measurements

The request from authorities and the public for receiving a sociological portrait of students of system of secondary professional education in the conditions of market economy assumes use of complex innovative and evidence-based techniques of its creation. The article presents theoretical-methodological foundations of sociological research whose purpose is to receive evidence-based portrait of applicants, students and graduates of secondary professional education. It proves that the comprehensive description of social and status lines, career expectations and the educational strategy of this social community has to be based on the heuristic potential of resource, valuable and motivational and functional approaches and be carried out within a neoclassical paradigm of scientific research. The social research which being built on these conceptual bases, would promote adequate identification of the problem parties of development and transformation of students of the system of secondary professional education. It will create a possibility of updating of training programs according to the current inquiries as labor market and students, and will become a basis of improvement of the policy of the secondary professional education organizations directed to development of methods of involvement of entrants.

Keywords: system of secondary professional education, complex sociological portrait, students as social group, educational strategy, professional installations

The efficiency of algorithms of the adaptive temporal sampling (ATS) is defined by compressibility of an analog signal. For the purpose of prior assessment of compressibility of measuring signals the dependence of the current clock period of measurement in case of ATS from dynamic properties of a signal is considered. Depending on a priori known characteristics of dynamic properties of signals and the given error of approximation select a method of interpolation or extrapolation. In article the dependence of the current clock period of measurement on differential properties of a signal for an ideal algorithm of ATS of interpolation type is received. Restoration of a signal after ATS an interpolation polynomial of Lagrange n-oh of a level is supposed. The quality of approximation is set by criterion of uniform approximation. It is shown that the analysis of ideal ATS of interpolation type comes down to the analysis of the equivalent on value of a section of approximation of ideal ATS of extrapolation type.

Keywords: Adaptive temporary sampling, measurement step, structural properties of a signal, interpolation, reproduction error

Article desribes the change in the ST-segment offset of the electrocardiagramm according to the variaty effects like fluctuations, respiration, additive noises, and heart rate deviation. Authors proposes to identify the ST-segment location in already synthesised ECG signal, adding an offset with consecutive nonlinear interpolation using National Instruments LabVIEW BioMedical Toolkit

Keywords: Electrocardiogram, ST-segment, synthesized ECG, elevation, depression, heart rate, T-tooth, isoline, smoothing, interpolation

The article discusses the aspects of coordination of the file formats used for recording biological signals. The primary attention is paid to the data structure and the conversions of its own format to standard formats and vice versa when conducting state tests and certification of a medical device.

Keywords: ECG, EKS, EDF, MIT-BIH, data format, data format conversion, electrocardiogram

In this paper, a choice is made of the data processing algorithm necessary for the development of analytical software in the complex project ""Development and creation of high-tech production of an innovative system for the integrated accounting, recording and analysis of energy consumption and water consumption by industrial enterprises and utilities"" The review of existing algorithms and prediction methods in systems with a large number of parameters and a large epoch of analysis is made. A specific application for the desired algorithm is predicting the consumption of energy resources and water. Based on the review of algorithms, the algorithms chosen are most suitable for this task. The tandem use of the decision tree construction and the genetic prediction algorithm is considered. Further tasks that need to be solved for effective implementation of these algorithms in the development of analytical software are formulated.

Keywords: analytical software, forecasting, genetic algorithm

When managing complex systems, for example, an industrial enterprise, an organization, a socio-economic system, etc., it is necessary to take into account the fact that they can be considered as polystructural systems, i.e. as a set of heterogeneous systems, interconnected. A poly-structural system is understood to mean a variety of different components, differing in physical properties, functional purpose, complexity of the internal structure, representing a single whole. The article deals with the management of a polystructural system based on the preparation of management decision making by experts who can evaluate an alternative from the standpoint of a specialist of several elements of a polystructural system. To develop methods for determining and selecting an informed management solution, a polystructural system is considered from the standpoint of system theory and system analysis. A mathematical model is developed, which is the basis for creating information and algorithmic support for the management of the polystructural system.

Keywords: management of a polystructural system, the choice of an administrative decision, indicators, a problem situation, the method of analyzing hierarchies, reducing the complexity of the examination

The efficiency of algorithms of the adaptive temporal sampling (ATS) is defined by compression ratio of an analog signal. For the purpose of prior assessment of compressibility of measuring signals the dependence of the current clock period of measurement in case of ATS from dynamic properties of a signal is considered. Based on the dependence of the current clock period of measurement on dynamic properties of a signal received earlier, formulas for assessment of value of a clock period of measurement in case of interpolation are received by Lagrange's polynomial of a 0th level and a class of the signals restricted to the selected structural model. The functional dependence of the current clock period of measurement from structural properties of a signal, in case of Lagrange's polynomial of a 0th level, allows to determine the average duration of a clock period of measurement in case of ATS. Value of average duration of a clock period of measurement in case of ATS allows to estimate value of compression ratio a priori. As assessment of an error of approximation it is selected, often used in case of restoration of signals, criterion of uniform approximation.

Keywords: adaptive temporary sampling, measurement step, structural properties of a signal, interpolation, Lagrange's polynom, reproduction error

Data mining methods were used to analyze publication activity of the university staff on the example of the Petrozavodsk State University (hereinafter referred to as PetrSU). In order to identify employees groups with similar indicators of scientific activity, they were clustered. As a result, teaching staff was divided into eight clusters, three of which included employees representing both present and future of science at Petrozavodsk State University, and others that would strive to get into these groups. The presented results of indicators’ statistical processing can be useful for university self-analysis. The university management could draw a conclusion on a current state of scientific activity, both of an individual employee and of the organization as a whole. This will allow to make scientifically-based management decisions in order to improve scientific performance of the organization.

Keywords: university permormance, scientific activity, data mining, clustering, scientometric indicators, h-index, RSCI

The paper issues a technique for constructing effective data insertion procedures in structure-independent databases that uses the activity approach. The essence of this technique is to present the procedure in the form of an action mechanism that allows its semantics to be opened, thereby minimizing the number of identical same meaning characteristics. The use of the technique for data insertion procedures constructing into structure-independent databases, as well as the use of a NoSQL DBMS that is homogeneous in structure to structure-independent databases made it possible to significantly improve performance. You can judge it from the computational experiment which is performed in the work.

Keywords: data insertion procedure, structure-independent database, activity approach, technique, action mechanism, semantics, experiment, performance

The estimation of intensity of patenting of results of intellectual activity by a scientific group is offered in the article. An example of its calculation is given following the analysis of Petrozavodsk State University data

Keywords: index of intensity of patenting, research group, university, h-index, RSCI

The work is devoted to the further extension of the Analytic Hierarchy Process (AHP). In its classic version, the hierarchical structure of goals, factors, criteria and alternatives is set in advance. The calculation of priorities at each level is based on the matrices of paired comparisons obtained by the expert method. The paper proposes to build a table of the hierarchy of priorities directly by using measurements carried out in the target audience. For this purpose on the basis of the primary data received by questioning, the consecutive hierarchical factorization developed earlier by authors is carried out. As a result of this procedure, the full hierarchical structure of goals, factors and criteria is revealed, starting with the primary features and ending with the integral target factor of the whole task. In addition, for each identified level determined by the matrix of factor loadings, allowing to calculate the local priorities of the factors. Their global priorities with respect to the goals defined on the basis of the principle of the synthesis of the AHP. The proposed technique is illustrated by the example of the analysis of students ' perception of the educational process, which was conducted on the basis of extensive questionnaires in 2015 in SFEDU.

Keywords: Analytic Hierarchy Process, a survey, a consistent hierarchical factorization, table of hierarchy of factors, local priorities, a synthesis of the AHP global priorities, the perception of the educational process

The model of reactive power compensation system calculation in industrial enterprises and power systems electric networks is developed. The authors take into account three main problems: multidimensionality, informational fragmentation and incompleteness of information. The quadratic model of  reactive power compensation is examined. The calculation method main phases which uses all the advantages of quadratic model and methods of its improvement are given.

Keywords: compensating devices, reactive power compensation, power system, industrial enterprises electric networks, quadratic model, mathematical model, incompleteness of information