The study presents the results of years of research in the field of creation of effective management of the firm from the position of applied linguistics. The aim of this work is the presentation of scientific and practical results of using the technology of process management organization, methods of linguistic efficiency taking into account the factors of linguistic personality of the employee. The study deals with the description of applied linguistic and managerial models, views, practical results of its application in the applied field to assess to maintain production and reduce losses.

Keywords: applied linguistics, organization, planning and enterprise management, language personality, employee motivation

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

In the article the problems of formation of labor potential as a factor determining competitive advanage in today s economy/ The authors listed serveral factors that affect the structure, composithion of the workforce and the basic elements of development of labor potential.

Keywords: knowledge economy, human capital, competence, intellectual potential, labour potential

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

The submitted paper considers the issues of developing the analytical software which is the part of the hardware-software complex for energy accountability, reporting and analysis, and consumption. The main function of the analytical software is to predict the consumption of energy resources and emergency conditions, as well as non-routine events. To create analytical software, the use of contextually-predefined machine languages is suggested. The issues considered include the implementation of such languages for intelligent agents (IA), which are used to solve problems of resource consumption forecasting in the housing and communal services sector. Particular attention is paid to the methods for supporting the change in implementing functions. The same approach can be used to solve other problems. An intelligent agent features a complex behavior that changes as it interacts with the external environment and is determined by internal states. When creating intelligent agents, there are fundamental problems: - search and formation of algorithms for the training of an intelligent agent, - change and implementation of these algorithms within the agent itself. The work specially dwells on the second problem. The approach is that contextually-predefined languages and implementing systems are used as form-building (morphogenetic) ones. The productive element is the main part of the learning intelligent agent. There are six components of the productive element. They are considered within the context of contextually-predefined languages application. The basic idea is to isolate the parts of the component's algorithm and to arrange an appropriate connection between the particular part and the context that can change it directly or indirectly. As a result, the necessary adaptive change of algorithms is obtained on the basis of accumulated knowledge. One of the most urgent tasks is the form this process during the operation of the IA.

Keywords: software, energy resources accounting, contextually-predefined languages, intelligent agents, machine languages

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

in article the algorithm of a posteriori calculation of heart rate on record EX. The algorithm produces the allocation of QRS complex for R-teeth, the classification of complexes into two types: normal and artifact complexes. It is proposed to classify the analysis of contours and measurement of interference at the frequency of 50 Hz. This classification can significantly improve the measurement accuracy of the instantaneous heart rate compared to the moving average

Keywords: frequency of cardiac abbreviations, RR interval, QRS complex, Holter monitoring, selection of artifacts of the FORMER, the algorithm for calculating heart rate, contour, RR–interferometry

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

The article examines the directions of development of energy saving system in Russia at the present stage, as well as foreign practices. The prospects for development and the main problems in this area are defined. Organizational, economic and legal bases for stimulating energy saving and improving the energy efficiency of buildings are highlighted.

Keywords: energy saving, energy efficiency, resource saving, environment, territorial development, alternative energy sources, energy resources

The article deals with the construction of the exponential smoothing model and seasonal model of the time series on monthly weight data (kg) on imports of commodity groups 07 «Vegetables and certain edible root crops and tuber crops» from 01.2014 up to 09.2017 in the region of the Southern Customs Administration operation. According to the derived model the forecast has been made for October, November and December of 2017 by the weight of the product group 07 in the region of the Southern Customs Administration operation.

Keywords: econometrics, time series, adaptive methods, exponential moving average, modeling, seasonality coefficient, forecasting

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

It is necessary to switch implementation and cheching of practical and laboratory works into remote mode in order to increase learning efficiency. Then the training process can be individualized by means of directing a student to resolve the problem depending on learning results. It can be easily realized by tools of learning management systems if problems to solve can be checked by tests. Automated scoring can be used in case of impossibility of using tests. But automated scoring can’t completely save trainer from works checking. That is why the opportunity of trainer overwork appears. A technique of definition the opportunity of blended learning and learning individualization degree in case of practical and laboratory works is presented in the paper. The technique was used to check the training efficiency in blended individualized learning in case of practical and laboratory works in classes «System modeling and control automation» and «Systemology and control systems reengineering».

Keywords: blended learning, distance learning, practical work, laboratory work, learning individualization, complex open ended assignment, institute

There are different training control techniques developed to increase training and learning efficiency. Mainly they are focused on problems which can be checked by tests. But there is a large class of problems which can’t be checked by tests. These include the most of complex open ended assignments, assignments which help to form skills. The existing control techniques are examined in the paper. The basic control techniques types are observed and the most efficient type based on process approach is defined. A training control technique based on error classification is developed within the process approach. Error categories in complex open ended assignments are defined: current training course errors, finished training course errors, errors, which don’t belong to knowledge and skills.

Keywords: training control, adaptive control, process approach, complex open ended assignment, error classification, error generalization

The article investigates approaches to managing currency risks on the Moscow exchange based on static hedging and taking into account the features of the Russian derivatives market. For more delicate managing currency risks, it is proposed to use barrier options that are not traded on the Moscow exchange. It is shown that the barrier option can be replicated with the portfolio of European options, the strike prices of which are the barrier and the strike price of the barrier option. The main idea behind the approach applied is replication of zero price of the up-an-out call (in the case of crossing the barrier) by the linear combination of European call options with different time to expiry. Examples of constructing replicating portfolios of options on the futures contract for the US dollar - Russian ruble are given . Further analysis of the portfolio's value dynamics demonstrates the inadequacy of the classical Black-Scholes model for the Russian derivatives market. The approaches of static hedging barrier options in jump models are disscussed.

Keywords: mathematical modeling, numerical method, mathematical finance, barrier options, Black-Scholes model, static hedging, Levy models, derivatives market.

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 article considers the problem of estimating production risks and risks of occupational injuries based on the assessment of the impact factors of the labor process. Definition of factors of production environment, harmful to the health of workers and comparative analysis of the working conditions for harmful production factors one.

Keywords: the risk of production of harmful and dangerous production factors, industrial injuries, working conditions

There are considered approaches to mining association rules of hybrid intelligence systems. A well-known algorithm for mining association rules is the Apriori algorithm, it can be used to process large items of quantitative values. The article presents modern methods of fuzzy data mining: with predefined membership functions, Aprior-based algorithms provide an easy way to analyze and describe the fuzzy association rules. FP-tree-based algorithms are particularly suitable to work with big data. Some types of fuzzy genetic algorithms are considered in detail, allowing to find both membership functions and fuzzy association rules.

Keywords: genetic fuzzy systems, hybrid intelligent systems, assosiation rules, data mining, genetic fuzzy data mining

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 questions of decision-making are considered at the development of a complex tourist product, which includes places of leisure and recreation, relocations, places of residence and others. The multicriteria problem of choosing the optimal variant of the tour with the given criteria and user ratings has been set and solved. The proposed model can be used to build a decision support system for the development of tours around Russia.

Keywords: decision theory, expert assessments, the theory of formal languages ​​and grammars, optimization, intellectual systems

The growing interest in travel around Russia and the lack of information support determine the relevance of developing decision support systems in the tourism industry. The work presents the results of information modeling of such a system that allows, based on monitoring of thematic Internet resources, to create a database of tourist sites and events, places of residence, transport routes and based on user estimates, form a completed tourist product that appropriate the requirements. The obtained models are the basis for the development of the software environment.

Keywords: information modeling, universal modeling language UML, decision support system

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

At the present stage of development, Russia does not have a coherent, well-developed institutional system designed to provide the necessary conditions for the creation of a knowledge-based economy. The article identifies the obstacles that impede the development of a developed institutional system: the counter-innovative orientation of institutions, various institutional traps at the federal, regional and local levels, as well as the emerging institutional void.

Keywords: knowledge economy, institutions, institutional environment, institutional obstacles, innovative development