Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Loyko Valeriy Ivanovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

Email

loyko@kubagro.ru


Articles count: 147

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750 kb

MATHEMATICAL EQUATIONS ANALYSIS OF ACOUSTIC AND ELECTROMAGNETIC FIELDS ARE CREATED BY ACOUSTIC MAGNETIC DEVICE AND DETERMINATION OF SIMILARITY CRITERIA FOR THE CREATION OF NEW CONSTRUCTIONS OF ACOUSTIC MAGNETIC DEVICES DESIGNED FOR USE IN HYDROPONIC SYSTEMS

abstract 1171603031 issue 117 pp. 500 – 527 31.03.2016 ru 251
Conditions in which the work of acoustic magnetic device proceeds are complicated because of the number of interconnections. Solving problems under such conditions analytically is difficult because of many variables and complexity of some dependencies. The article describes the conditions in which the work of acoustic magnetic device, designed for nonchemical treatment of hydroponic solution, takes place. The criteria, establishing the initial state of the chains, containing mutual inductance, are analyzed. The work establishes the criteria relating the physical parameters of the environment with the output parameters of the device. The similarity of conditions of heat transfer on the surface of the device is provided, and the relation of the scale of temperature and power lost when heating the ferrite and winding machine is determined. The criterion of the heat transfer process is defined. The criterion, determining the relation of the environment temperature to the thermal mode of the acoustic magnetic device, is defined. The criterion of the conditions at the boundaries of the system and cavitating liquid is determined. It is found, that the cavitation area appears in the technological volume of liquid at the work of acoustic magnetic device. The criterial equation for geometric parameters of different types and constructions of the acoustic magnetic device is defined. In accordance with the task based on the third theorem of similarity, the group of criteria that provides the similarity of the model to the proposed original by all existing indicators, is selected
216 kb

QUALIMETRIC ESTIMATION OF INTEGRATION OF RESEARCHERS INTO THE SCIENTIFIC COMMUNITY, BASED ON THE ANALYSIS OF CITATIONS

abstract 1181604074 issue 118 pp. 1168 – 1186 29.04.2016 ru 218
The article presents the criteria for evaluating the integration of researchers in the scientific community, based on an analysis of its citations. It is known, that one of the major components of interscientific communication (communication in the scientific community) is a citation of scientific publications (monographs, articles, etc.). According to the sociological approach, a scientist is a part of society, ie, scientific community; under scientific community we understand scientific mega environment (opposed to research groups of institutions and their structural units). Integration of a researcher to the community has many aspects: on the one hand, it is - the importance of his work to the scientific community, on the other hand, it is - the use of a scientist social mega environment for building for their personal and professional development to improve their research and improve the quality of its results (in the context of the article we will consider the second aspect). Methodological bases of the research: systematic, competence, sociological, and mega-system qualimetric approaches. Methods: modeling, methods of quality control, methods of set theory, relations and graphs. Evaluation (diagnostics) involvement of scientists in the scientific community - is more complicated metrology task than the evaluation of the significance of the results of its research activities. For the authors it is clear that a mature scientist (with a high level of research competence) should intensively use the potential of the social and the cultural science international environment (community) for their personal and professional development, to improve the efficiency of this research activities and the quality of this results. The proposed indicators can be considered as group indicator variables reflecting the level of the behavioral component of the research competence (scientist). Using social media for researcher’s potential – it is necessary, but not sufficient condition for productive research, producing goodquality scientific results. In this situation, negative prognosis is more significant: poor use of social media for researcher’s potential – is a "guarantee" for low productivity of this research activities and the low quality of this results. Only the combination of the highest levels of readiness for research (research competence) with high levels of other competences (as a whole - the social and professional competence, implying the presence of the professional skills of selforganization) can be the factors of successful research
251 kb

QUANTUM DISTRIBUTION SYSTEMS: PHYSICAL BASES, PROTOCOLS, OPPORTUNITIES OF THEIR IMPLEMENTATION

abstract 1191605066 issue 119 pp. 938 – 956 31.05.2016 ru 164
The aim of the article is to analyze existing quantum distribution systems, their facilities, physical bases of quantum objects behavior used in quantum distribution systems and protocols of quantum keys distribution
207 kb

ANALYSIS OF FACTORS AND INDICATORS OF THE INFLUENCE OF THE INTERNET ON THE INTELLIGENCE USING DATA MINING

abstract 1201606051 issue 120 pp. 755 – 769 30.06.2016 ru 202
In the article, we present the analysis and improvement of existing methodologies for assessing the intelligence factor, taking into account its use of the Internet on a regular basis. Today, the use of the Internet in our daily activities and tasks become practice that is more common. The Internet has become a popular and most frequently used means of obtaining information quickly and in large volume. The authors suggested the presence of the Internet and its impact on the everyday use of psychological and intellectual life of the people that can be recorded because of user IQ scores. It is suggested here also gets its development in the search for and analysis of system models, allowing determining the numerical values of the parameters. Specifically, it is proposed to use a large variety of statistical data to clarify the unknown parameters that determine the levels of human intelligence, taking into account the impact of the Internet. These statistics include information such as the number of people with higher education, the number of Internet users, the degree of the Internet penetration in society, the most typical tasks that use the Internet users, and others. For the processing and analysis of the test statistics in the work proposed to use tools data mining, ie, data mining. We have also considered the most typical approaches Data mining, applied in similar research areas. We have analyzed what specific principles and methods can best approach to solving the problems of intelligence assessment indicators. The result of the article was a number of conclusions, in particular, the feasibility of applying clustering to analyze data in the field. Also, in certain cases, we provided the use of Kohonen neural network in the vector quantization network format. Methods: analysis of scientific literature and online sources of information on the current level in the field of IQ research; modeling; Methods systematization (tabular calculations and compilation); Experiment (real human test data). Methodological bases of research: a systematic approach (considering IQ in the form of a functional multi-component dependencies), probabilistic and statistical approach (provides guidance for constructing mathematical models linking together IQ and the influence exerted on it using the Internet, and to assess the reliability of a computer program ) qualimetric approach (determines the need multicriterion diagnostic influence of factors on the level of intelligence)
416 kb

MODELING AND DIAGNOSIS OF TRAINING PRODUCTIVITY OF SCIENTIFICPEDAGOGICAL PERSONNEL

abstract 1201606052 issue 120 pp. 770 – 784 30.06.2016 ru 168
The article presents the criteria for the effectiveness of the scientific and pedagogical workers of higher skill levels for the preparation of scientific and pedagogical staff. It is known that the preparation of the teaching staff (PhDs) - one of the most important activities of higher education institutions; Moreover, when the state accreditation of higher education institutions compulsorily taken into account indicators that reflect the impact of training candidates. Also, of course, that the training of the teaching staff (PhDs) - activities that require both high levels of research and pedagogical competence. This means that the results of scientific and teaching staff higher qualification levels for the preparation of the scientific staff - both indicators of research and pedagogical competence; own training of researchers - an area of "crossing" of scientific and pedagogical activity. Unfortunately, the increase in the number of scientific personnel being prepared does not always mean quality growth. Often trained scientific personnel (PhD) not only do not approach the level of competence of its research (the results of research) to the supervisor, and stopped to engage in scientific activities after defending his doctoral dissertation (or engaged at a low level). Therefore, the article authors consider it expedient to propose indicators that reflect not only the amount and timeliness of the research training (PhD thesis defense sometimes occur many years after graduate school), but also the productivity of this activity. From the point of view of the authors, the success of research training only can be considered productive when prepared by the scientific supervisor candidates of sciences are highly qualified scientific personnel, ie conduct high-level research, the results of which are recognized by the scientific community; the same is true of the scientific advice (highly qualified scientific workers - doctors). The practical significance of the study results - in the possibility of objective monitoring of research activity of scientific-pedagogical personnel of higher qualification. Methodological bases of research: a systematic, competence, sociological, and metasystem qualimetric approaches. Methods: modeling, methods of quality control, methods of set theory, relations and graphs. Normative base of research: the Federal Law "On Education" (2012), the federal state educational standards of higher education (2014, 2015). The work was performed as part of research projects "Monitoring of the research activities of educational institutions in the information society" (№ 16-03-00382) and "Modern information and educational environment" (16-36-00048) with the financial support of the Russian Humanitarian Foundation from 17.03. 2016.
278 kb

MODERN MODELS AND METHODS OF DIAGNOSIS OF METHODOLOGY COMPETENT TEACHERS

abstract 1201606053 issue 120 pp. 785 – 812 30.06.2016 ru 645
The purpose of the research is development of models and methods of diagnostics of methodical competence of a teacher. According to modern views, methodical thinking is the key competence of teachers. Modern experts consider the methodical competence of a teacher as a personal and professional quality, which is a fundamentally important factor in the success of the professional activity of teachers, as well as a subsystem of its professional competence. This is due to the fact that in today's world, a high level of knowledge of teachers of academic subjects and their possessing of learnt basics of teaching methods can not fully describe the level of professional competence of the teacher. The authors have characterized the functional components of methodical competence of the teacher, its relationship with other personalprofessional qualities (first - to the psychological and educational, research and informational competence), as well as its levels of formation. Forming a model of methodical competence of the teacher, the authors proceeded from the fact that a contemporary teacher high demands: it must be ready to conduct independent research, design-learning technologies, forecasting results of training and education of students. As a leading component of the methodical competence of the teacher is his personal experience in methodological activities and requirements of methodical competence determined goals and objectives of methodical activity, the process of the present study, the formation of patterns of methodical competence of the teacher preceded the refinement of existing models methodical activity of scientific and pedagogical staff of higher education institutions and secondary vocational education institutions. The proposed model of methodical competence of the teacher - the scientific basis of a system of monitoring of his personal and professional development, and evaluation criteria and levels of her diagnosis - targets system of vocational training and re-training of high school teachers. Innovation policy is a model of methodical competence of the teacher, and the main model of the mechanism of its formation - methodical activity (in close connection with other activities). Research methods: analysis of scientific and methodical literature and best practice methodological activities in educational institutions, modeling, methods of the theory of sets and relations, methods of quality control, methods of multivariate analysis systems. Methodological bases of research: a systematic, qualimetric, competence and process approaches. The work was performed as part of research projects "Monitoring of the research activities of educational institutions in the information society" (№ 16-03-00382) and "Modern information and educational environment" (16-36-00048) with the financial support of the Russian Humanitarian Foundation from 17.03. 2016
233 kb

THE DEVELOPMENT OF THE INTELLIGENT TECHNOLOGIES RESEARCH OF THE INFLUENCE OF ENVIRONMENTAL FACTORS ON VARIOUS ASPECTS OF LIFE QUALITY IN THE REGION

abstract 1221608001 issue 122 pp. 1 – 17 31.10.2016 ru 332
To increase the validity of conclusions about the impact of environment on quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases need to be handled not just together, but in a comparable form approach, technology and methodology; and we need to implement them in one software system. For the first time in the environmental studies it has been planned to be done with the application of the ASK- analysis and the system called "Eidos". In this work, we set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of research method, the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields, that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy
3036 kb

THE RATIONALE FOR SELECTING THE METHOD FOR THE RESEARCH OF THE INFLUENCE OF ENVIRONMENTAL FACTORS ON VARIOUS ASPECTS OF LIFE QUALITY IN THE REGION

abstract 1221608002 issue 122 pp. 18 – 31 31.10.2016 ru 453
To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study
140 kb

COGNITIVE MODELS OF PREDICTION THE DEVELOPMENT OF A DIVERSIFIED CORPORATION

abstract 1221608003 issue 122 pp. 32 – 42 31.10.2016 ru 331
The application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of information due to the cumulative effect of the incompleteness and distortion of accounting information from the enterprises in it. Under these conditions, the applied methods and tools must have high resolution and work effectively with large databases with incomplete information, ensure the correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with complex poorly formalized tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This is the subject of this work, which makes it relevant. The work aims to: 1) analyze the forecasting methods to justify the choice of system-cognitive analysis as one of the effective methods for the prediction of semi-structured tasks; 2) to adapt and develop the method of systemic-cognitive analysis for forecasting of dynamics of development of the corporation subject to the scenario approach; 3) to develop predictive model scenarios of changes in basic economic indicators of development of the corporation and to assess their credibility; 4) determine the analytical form of the dependence between past and future scenarios of various economic indicators; 5) develop analytical models weighing predictable scenarios, taking into account all prediction results with positive levels of similarity, to increase the level of reliability of forecasts; 6) to develop a calculation procedure to assess the strength of influence on the corporation (sensitivity) of its member enterprises; 7) to finalize the software tools the ask analysis to the level of information technology, given its adaptation and development to predict actions in a diversified corporation
3170 kb

THE RATIONALE FOR SELECTING THE METHOD OF FORECASTING THE DEVELOPMENT OF A DIVERSIFIED CORPORATION

abstract 1221608004 issue 122 pp. 43 – 58 31.10.2016 ru 229
Application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with poorly formalized complex tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation
.