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 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
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
The article reflects the relationship between the
parameters of research activities of students and the
characteristics of the educational environment in
higher education. It is known that the research activity
of students is an integral part of the educational
process, therefore, the parameters of research activity
can and should be indicator variables reflecting certain
aspects of the educational environment. According to
modern views, all types of research activities of
students (educational, research, scientific and practical
and research) is the most important mechanism for the
development of their research competence. In addition,
the parameters of research activities of students - the
reflection of the relationship of scientific and
educational activities in higher education, and this -
one of the most important factors of competitiveness
of the educational environment. The authors
substantiate that the parameters reflecting the research
activity of students characterize, first of all, such
aspects of the educational environment as its intensity,
social activity, dominance, coherence, mobility,
stability, reliability and efficiency. This is due to the
fact that the research activity of students is a transdisciplinary
process that depends on the same factors
as the educational process as a whole and is
characterized by the same didactic goals (tasks) as the
educational process as a whole. In identifying the
relationship between the parameters of research
activities of students and the characteristics of the
educational environment, the authors also took into
account the relevance of such a task as ensuring
continuity between levels of continuing education. The
theoretical significance of the results of this study is
that they can be the basis for further scientific
understanding of the problems of the quality of
education and the effectiveness of educational
environments, the practical significance is that they
can be applied in the systems of socio-pedagogical and
psycho-pedagogical monitoring and the effectiveness
of the educational environment, as well as monitoring
the student's personal and professional development).
Methodological bases of research: system,
sociological, competence, probability-statistical and
qualimetric approaches (leading methodological basis -
competence approach). Research methods: modeling;
methods of graph theory, sets and relations; systemiccognitive
analysis; methods of qualimetry (theory of
latent variables); methods of mathematical statistics
(first of all - the method of rocky scree); methods of
the theory of limits
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
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
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 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
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 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