Name
Loyko Valeriy Ivanovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 147
The article presents the main directions of the
application of the scree plot method in solving
metrological problems in the social and humanitarian
fields of knowledge (economics, pedagogy, sociology,
including sciencemetry). It is known that statistical
measurements in socio-economic systems are
inextricably linked with the processing of primary
homogeneous monitoring information. It is also known
that empirical averaging (computation of the empirical
mean), as the dominant method of mathematical
statistics, is becoming a thing of the past, due to moral
aging, inconsistency with modern requirements
(primarily to measurement results in socio-economic
systems); In science meteorology, this method was
replaced by the scree plot method (the Hirsch index
and other scientometric indicators are estimated on the
basis of this method). Despite its enormous potential,
the scree plot method, as an alternative to traditional
methods of mathematical statistics, is very poorly used
in the social and humanitarian fields of knowledge.
The authors of this article have shown that this method
can be successfully applied in solving various
metrological tasks, not only in science (sciencemetry is
a branch of science), but also in economics, pedagogy
and sociology. In addition, the authors show
modifications of the scree plot method, using the
example of measuring (measuring) indicators in the
economy, sociology and pedagogy; The relationship
between the scree plot method and the theory of latent
variables (qualimetry) and database technology is
grounded. The authors also substantiate that the scree
plot method - the basis for the formation of monitoring
indicators that adequately reflect the performance of
socio-economic systems. The practical significance of
the results of this study is that they can be used in
socio-economic and psychological-pedagogical
monitoring systems (according to modern views,
monitoring is an information management
mechanism). Methodological basis of the research:
system, sociological, competence, probabilitystatistical
and qualimetric approaches (leading
methodological basis is the probabilistic-statistical
approach). Research methods: modeling; Methods of
graph theory, sets and relations; Systemic-cognitive
analysis; Methods of qualimetry (the theory of latent
variables); Methods of mathematical statistics
The research purpose is identification and justification of the scientific team’s recognition citation-based criteria. Such parameters of the educational environment as modality, latitude, social activity, social coherence, intensity, maturity etc. are assessable on the basis of the primary information about the scientific team’s research activity results. The authors of this article prove that the data about cross-citations within a scientific team is the primary information about the scientific and pedagogical team members’ recognition of their social system (such information is obtainable from modern scientometric databases, e.g. Russian Science Citation Index). The new scientific results of this research are the identified citation-based criteria for the scientific team’s recognition. The theoretical significance of these results is the possibility of using them as a scientific basis for further research in the sociology of science and for the development of the small social systems functioning models; the practical significance is the possibility to analyze the factors for the success of scientific and pedagogical teams’ research activity (i.e. applicability for the research activity monitoring systems). The research methods are: the methods of set, relations and graph theory, the methods of qualimetry, mathematical statistics (including the scree-plot method) and linear. The research methodology is based on the sociological approach (viewing the scientific and pedagogical team as a well-established social system), the qualimetric approach (declaring the necessity for the multicriterial diagnostics of scientific and pedagogical team’s recognition) and the probabilistic and statistical approach (viewing the scientific and pedagogical team’s recognition citation-based diagnostics as a statistic measurement)
Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.
Initial data for designing of two-level semantic
information model of management of agro industrial holding are analyzed in the article, task of their
automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved.
Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.
Production and processing of grains formed in the national economic system of the country a number of cereals-governmental sectors, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and role of the grain as a commodity in the state economy can not be overestimated. This product, is totally liquid, which has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortagecovered by imports.According to the characteristics of management in agriculture, it should be emphasized that the absence of objective and timely information at all stages of production of the plant-breeding, and as a result, non-optimal choice of technology of cultivation of agricultural crops, might result in the fact that the cost of labor and material resources increases significantly, the company does not receive profits, and sometimes suffers losses. When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the process of developing multicriteria economic-mathematical model of a comprehensive assessment of technology of cultivation of agricultural crops.
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
The goal of the study is to analyze the existing
quantum distribution systems, their probable
applications, as well as the issues with their practical
implementation
QUANTITATIVE MODELS AND METHODS OF RISKS EVALUATION IN AGRO-INDUSTRIAL INTEGRATED PRODUCTION SYSTEMS
Results of researches on quantitative evaluation of agro-industrial integrated production systems (IPS) risks with the regard of influence of external and
internal media are described in this article.
Particularly, quantitative method of calculation of integrated risk indexes of unfavorable influence of external medium on integrated production systems; model of determination of IPS effectiveness on the base of worked out models of calculation of integrated risk indexes and an equipment of slipshod great numbers theory; improved model of IPS effectiveness evaluation with the regard of risk component part on the stage of material flow creation have been described.
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
The goal of the study is to research experimentally a
pseudo-noise sequence acquisition method for
multicarrier communication systems of MC-DSCDMA,
that allows low hardware requirements and
able to operate in low quality channels. The way of
achieving this lies in using a specially developed
computer model of algorithm in Simulink. The
achieved results have shown high efficiency of the
considered acquisition method in contrast to sequential
search method. The proposed algorithm can be used in
multicarrier systems for acquisition of aperiodic
pseudo-noise sequences in wireless public networks
and in military communication networks