Name
Loyko Valeriy Ivanovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 147
This article is written in connection with the anniver-sary of 100-th issue of the Scientific journal of Kuban state agrarian University. This event suggests the pos-sibility of studying the dynamics topics of research for publication in the Scientific journal of Kuban state agrarian University. This issue is described in the arti-cle. The instrument for this study was applied auto-mated system-cognitive analysis (ASC-analysis) and software tools - Universal cognitive analytical system "Eidos-X++"
Grain is of strategic importance and is the basis for
food security. The gross national product share of
grain and its products is about 10-15%. It always
stands out from other types of raw materials, as it is
used to produce the most popular daily foods. 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 adaptation and the possibility of using the
model and the method of binary matrices to solve the
problem of the choice for cropping technology
This article is devoted to consideration of questions of
agro-industrial integration. Agro-industrial complex is
a difficult dynamic system, including different
branches of a national economy. In this work, the
scheme of agro-enterprise functioning is submitted.
The scheme was constructed with use of so-called
“black box” model. The agro-enterprise significantly
differs from the enterprises of other branches by a
number of signs of. It is connected with the fact that
agricultural production is characterized by high degree
of uncertainty. Tasks of the uncertainty analysis, and,
as a result, different risks of the agroenterprises are
actual. Development of the effective mechanism of
risk management is also an important task. In this
article, the features of risk classification in agroindustrial
complex, including the specific risks, are
considered. The agroenterprises actively use
integration mechanisms for decrease of possible
consequences of a risk event. There are vertical and
horizontal integration. Structures of the integrated
agro-industrial production systems, which construct
taking into account vertical and horizontal
communications, are considered in this article. The
most effective is vertically matrix integration in which
the diversification mechanism of business is
considered. The feasibility of the risk assessment with
due regard for integration communications is proved
The purpose of research – 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
The purpose of this research is the development of
models and methods of multiparameter diagnostic
effectiveness of educational environments. We know,
that a criterion-diagnostic system for monitoring the
effectiveness of higher education institutions -
educational Macromedia is being designed, which is
not the monitoring of the effectiveness of educational
microenvironments and meso-environment -
departments and faculties. The issue of the research -
to increase the productivity (efficiency) of functioning
of educational environments. The problem of research
is the question of how to diagnose the effectiveness of
educational environments objectively and
comprehensively. The urgency of this problem is due
to: the need to ensure the effective functioning of
educational institutions, their sustainable innovative
development; increasing demand for general and
vocational education, as well as its transition to a
multi-level system. Methodological basis of the
research: a competence-based approach (considered an
important target value of the educational process
formation of the competences and personal and professional qualities of students, integrating
knowledge, skills and readiness for their effective use
in solving of life, professional and educational
problems), metasystem approach (considering the
educational environment as a metasystem, including
relatively independent subsystems - educational
environment of lower level of the hierarchy),
qualimetric approach (considering the effectiveness of
the educational environment as an integrative figure,
which is diagnosed on the basis of estimating a set of
criteria), synergetic approach (considering the
educational environment as a self-organizing system,
and the efficiency of its functioning - as an indicator of
the success of the use of resources for further
development). Synergetic approach is relatively new in
the evaluation of the effectiveness of the educational
process and the educational environment as a whole
The goal of the study is to research time characteristics
of 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 mathematical model of
algorithm. The achieved results show suitability of
MC-DS-CDMA-signals optimization for pseudo-noise
sequence acquisition efficiency increase. The achieved
results can be applied in MC-DS-CDMA
communication systems development
In this article, in accordance with the methodology of
the Automated system-cognitive analysis (ASCanalysis),
we examine the implementation of the 3rd
ASC-analysis: synthesis and verification of forecasting
models of development of diversified agro-industrial
corporations. In this step, we have synthesis and verification
of 3 statistical and 7 system-cognitive models:
ABS – matrix of the absolute frequencies, PRC1 and
PRC2 – matrix of the conditional and unconditional
distributions, INF1 and INF2 private criterion: the
amount of knowledge based on A. Kharkevich, INF3 –
private criterion: the Chi-square test: difference between
the actual and the theoretically expected absolute
frequencies INF4 and INF5 – private criterion:
ROI - Return On Investment, INF6 and INF7 – private
criterion: the difference between conditional and unconditional
probability (coefficient of relationship).
The reliability of the created models was assessed in
accordance with the proposed metric is similar to the
known F-test, but does not involve the performance of
normal distribution, linearity of the object modeling,
the independence and additivity acting factors. The
accuracy of the obtained models was high enough to resolve the subsequent problems of identification,
forecasting and decision making, as well as studies of
the modeled object by studying its model, scheduled
for consideration in future articles
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
Agricultural producers interested in marketing of raw materials, whereas processing companies are interested in the establishment of raw material zones, providing capacity utilization; therefore, the establishment of sustainable linkages between producers and processors of raw materials is an objective necessity. In the article, with the help of mathematical methods we examine the conditions of mutually beneficial economic relations between agricultural producers and processing enterprises. Mathematical model for estimating the profits of the company is built of the following conditions: producers sell processing plants raw materials, determined by the coefficient of the interest in the partnership at an agreed purchase price, and the remaining raw materials are processed, so they can sell their products independently. Profit of the processing plant is determined by the mathematical model. To describe the nonlinear market-based sales of goods from its retail price we used a hyperbolic demand function
Augmented reality offers unique ways to display visual
information, in particular the visualization of threedimensional
objects. With AR object can be visualized
directly in the context of its operation. As an example
can be a piece of furniture rendered in the interior, plants
in the garden, the architectural object in the landscape.
Modern consumer devices such as smartphones and
tablet computers, as well as the algorithmic base lead to
the possibility of augmented reality mass usage. The
concept of augmented reality offers a better user
interface for visualization through a combination of
methods of controls and visualization. The camera angle
can be controlled by user’s head or device movements,
which is intuitive and efficient. Method of visualization
of three-dimensional object by combining its image with
the surrounding environment allows better perceiving
the object, its dimensions, and material properties. In
contrast to the traditional visualization approaches, AR
does not require modeling of the environment. Objects
visualization by means of AR can be applied to customer
decision support while buying products. The user is
provided with the ability to visualize an object in interior
or outdoors, where he plans to place it, and interactively
examine the object from any angle. This article attempts
to systemize possible options for interaction with
potential buyers through applications with augmented
reality technology