#### Name

Popova Olga Borisovna

#### Scholastic degree

•

#### Academic rank

associated professor

#### Honorary rank

â€”

#### Organization, job position

Kuban State Technological University

#### Web site url

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## Articles count: 9

The formula for definition of magnitude and direction of secondary sources of a field as surface currents for the registration of heterogeneity of environment is found. We have shown that it is possible to solve non-linear field problems, using the mathematical deduc-tions shown in this article

The purpose of the research is development of the new methods of diagnostic the research activities productivity. It is known, that for the evaluation the productivity of a scientist we usually use a well-known index of Hirsch, the introduction of which in 2005 was a significant step forward compared with application of this index as the ratio of the number of references to works of scientist and publications themselves. At the same time even h-index as an indicator is not flawless, the main flaw is weak differential ability: a number of links to the most cited publications of the scientific worker does not matter after reaching a certain threshold. It is necessary to develop a method of estimating the productivity of scientific worker, which preserves dignities of h-index and removes its shortcomings. This will allow evaluating the productivity of research activities more objectively. Methodological bases of the research: a systematic approach (considering the science as a social institution in close connection with the society as a whole), a metasystem approach (considering the results of the scientific activities as a metasystem, i.e. the system with relatively independent components), probabilistic and statistical approach (considering the research activities as the random process), a synergistic approach (considering science like a self-organized system) qualimetric approach (considering the productivity of scientific activity as latent variables that reflect a variety of criteria)

The purpose of the research is the development of new methods of the estimation of the importance of scientific journals. It is known that for assessing the significance of scientific journals it is used a universally recognized impact factor, which reflects the average number of citations to the articles published in the magazine for a certain period of time. For a more objective assessment of the significance of the journal in the scientific community we use such indicator as the index of efficiency, which reflects how quickly the articles in the scientific community published in the journal become known and recognized. At the same time, the impact factor as one of the scientometric indices has inherent definite disadvantages, the main of which - the stimulation scientific edition to the artificial reduction of the number of published articles, instead of increasing demands to improve their scientific level. It is necessary to develop a method of assessing the significance of the journal for the scientific community, preserving the dignity of the impact factor and reduce its disadvantages. Application of extra scientometric indicators, in addition to the impact factor and the index of efficiency, will allow assessing the importance of the journal for the scientific community more objectively. Methodological bases of the research are: a systematic approach (considering science as a social institution in close connection with the society as a whole), metasystem approach (considering the scientific community as a metasystem, i.e. a system with a relatively independent components), qualimetric approach (considering the importance of the scientific journal as a latent variables that reflect a variety of criteria), sociological approach (considering the scientific publication as a social system, the intensity of interaction with other society)

In the article, we have given the recommendations for using of the theory developed by us for the synthesis of technical systems (TS) of the process of choice knowledge from the area of knowledge. The developed methodology for the research of the real system (RS) and the synthesis of TS can be used in the development of the scientific direction - the artificial intelligence (AI). Also, for the solution of problems where you want to automate the process of choosing the desired knowledge of specific area of knowledge. The developed theory for obtaining a binary tree of nodes of the system of questions and answers will help synthesize any TS where there is a choice of knowledge of a given area of knowledge. This theory will be developed further with the self-development of TS as part of the AI system

We have done the analysis of the possible connections in the real and technical systems of the process of choice the knowledge from the area of knowledge. It has been identified dependence the number of the straight connections in this system from the number of its elements. For this it was used an example of the technical systems of the process of choice the knowledge from the area of knowledge - the binary tree of the system of questions and answers, realizing the chose of the method of optimization from the va-riety of methods. In the technical system of the process of choice the knowledge from the area of knowledge have been defined and analyzed the straight and reverse connections, the connection of generation, the structural connections and the connection functioning. For these connections, the quantitative relationships were obtained

For a field task, we have shown the analytical solution of the control example by means of which the condi-tions of the correct application of a method of second-ary sources of a field. The numerical decision in the form of Fourier series of the same task, but with use of the method of secondary sources is found. The method of the registration of heterogeneity of the environment which enters secondary sources the way that bring together analytical and numerical solutions is offered

The purpose of research â€“ the development of models
and methods of multiparametrical diagnostic the
research activities of scientific and pedagogical
collectives of educational institutions. The
problematics of research is improving the quality and
productivity (the efficiency) of research activities in
educational institutions. The problem of research is the
question of how to objectively and comprehensively
(in a complex) diagnose the research activities of
scientific and pedagogical collectives? The urgency of
solving specified problem is caused by the need to
ensuring a close relationship between research,
methodological and educational activities in
educational institutions. We have also to consider the
increasing role of clusters in the Russian economy,
cooperation and integration levels (steps) a system of
continuous education, etc. The authors identified the
parameters reflecting significance of research activities
of the scientific and the pedagogical collectives for the
scientific and educational community (social megaenvironmental).
When allocating indicators the authors
took into account that science - the social and cultural
phenomenon and the social institution, and the most
important aspect of the significance of the research
activity - in the innovative development of various
spheres of human activity. The applied methods of
research: mathematical modeling; methods of the
theory of graphs, sets and relations; methods of
"artificial intelligence" and the multi-parameter analysis of systems; methods of quality control (theory
of latent variables). Methodological bases of research:
systemic, cultural, competence, metasystem,
sociological, qualimetric and synergetic approaches

In the article we have reflected a relationship between
the parameters of the research activities of scientific
and pedagogical collectives and the characteristics of
the educational environment in higher education. It is
known that the research activities of scientific and
pedagogical workers and teams - an integral part
functioning of the higher education institution (and
improving its efficiency is one of the most important
problems). The authors proved that parameters
reflecting research activity of scientific and
pedagogical higher education of institution employees
characterize the aspects of the educational
environment as its latitude, intensity, social activity,
coherence, mobility, stability, reliability and
efficiency. It is caused by the fact that the research
activities of scientific and pedagogical workers - a
multifaceted social and cultural phenomenon. The idea
of the diagnosis of the educational environment of a higher educational institution and its structural units,
based on an assessment of scientometric indicators
(criteria for research productivity), can be completely
suitable for international and Russian requirements:
the well-known Shanghai procedure shifts the
emphasis on the evaluation of various aspects of the
research activities in higher education; serious
attention to assessing the research activity focuses and
Russian technique diagnostic efficiency of higher
education institutions. This is logical and soundly: if
the educational environment of a higher educational
institution is not a center of science, then it cannot
have effectively and competitive graduates, because
Research and pedagogical staff - the governing factor
in the educational process. Based on previously
developed models of research activities in scientific
and pedagogical collectives, as well as on generally
accepted models of educational environments, the
authors have proposed a method for the diagnosis of
the educational environment, based on an assessment
of scientometric indicators - parameters reflecting the
impact of the research activities of scientific and
pedagogical workers. Obtained results may be the
theoretical basis for further scientific understanding of
the problem of increasing the productivity of research
activities in higher education, as well as problems -
increasing the competitiveness of educational
environments. The practical significance of the results
of this study - the possibility of their use in the system
of socio-pedagogical monitoring - monitoring of
productivity the research activities and effectiveness of
educational environments. Methods of investigation:
modeling, methods of the theory of sets and relations,
methods of probability theory and mathematical
statistics, methods of the theory of limits, methods of
linear algebra and analytic geometry, multi-parameter
analysis of the systems and methods of quality control
(latent variables theory). Methodological bases of
research: a systematic, metasystem, qualimetric,
sociological and probabilistic and statistical
approaches

We have done the research of the possible connections in the real system of the process of choice the knowledge from the area of knowledge. It has been identified dependence the number of the straight con-nections in this system from the number of elements in the system. For this it was used an example to solve a particular scientific problem - the choosing the required method of optimization from the variety of optimization methods. In the real system of the process of choice the knowledge from the area of knowledge have been identified and researched various connections â€“ the straight and reverse connections, the connection of generation and structural connections, the functioning connections. It became evident, as these connections are formed from the straight and reverse connections in the real system. For some connections were obtained quantitative relationships