Name
Loyko Valeriy Ivanovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 147
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
Tracking is a vast field of research associated with
navigation, robotics, and virtual environments (virtual
reality). Tracking for augmented reality requires higher
level of precision, increased range of action, as well as
work with a wider variety of input data. It is important
that augmented reality technology requires tracking in
real time, which also complicates the task. Correct
visualization of objects in three-dimensional space
requires six degrees of freedom tracking: three position
values (x, y, z) and three angles (rotation around the
respective axes) to determine the orientation. To solve
this problem, different approaches and sensor types are
being used. In this article, we present a brief history of
the development of tracking technology and analyze the
current approaches to implement the process of tracking
on mass mobile devices such as smartphones and tablet
computers. We also describe some issues in
implementing optical marker based tracking for
visualization of large scale models
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
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
In this article, the general structure of technologically
complete production chain of the integrated production
system of agroindustrial complex was considered.
Three different variants of creation of the production
chains are described. The main distinctions in activity
of chains consist in a source of raw materials. Any
technologically full vertical chain includes three stages
– production of raw materials, storage and processing,
realization. Each of stages is characterized by different
situations of the risk. Stages of process of functioning
of a production chain were considered in this article.
Also, the qualitative analysis of risk for all stages is
made and the results of this analysis are considered.
Results of this analysis became a basis for
improvement of stream model for determination of
efficiency of the technological chain taking into
account a risk component. In the article, the algorithm
of an assessment of efficiency of the technological
chain of the integrated production system taking into
account a risk component at the stage of creation of a
material stream is also described
In this article, in accordance with the methodology of
the Automated system-cognitive analysis (ASCanalysis),
we examine the implementation of the 1st
and 2nd stages of ASC-analysis: cognitive structuring
and formalization of the subject area. At the stage of
cognitive structurization of subject area, researchers
decide what to consider as the object of modeling, the
factors affecting it and the results of their actions. In
accordance with the results of the cognitive structurization,
we prepare the initial database for the study
(training sample or case-based reasoning). At the stage
of formalization of the subject area, the base of the
original data is being normalized, i.e., we develop
classification and description: the scale and graduations
and with their use the base of the source data is
being encoded. The result is a database of events
(eventological database) and the training sample. The
stage of cognitive structuring and preparation of the
source data is not formalized and the formalization of
the subject area is fully automated and performed directly
with the use of the universal cognitive analytical
system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and
formalization of the subject area of ASC-analysis are
the first steps of data conversion into information and
into knowledge. Subsequent steps: the synthesis and
verification of system-cognitive model, the decision of
problems of identification, forecasting and decision
making, as well as studies of the modeled object by
studying its model will be considered in future articles
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 a noise-immunity
of pseudo-noise sequence acquisition method for
multicarrier communication systems MC-CDMA,
using a segment of the pseudo-noise sequence. The
goal was achieved by running a simulation developed
in MATLAB. By analyzing the results, we can show
that the developed mathematical model produces the
lower bound for pseudo-noise sequence acquisition
probability. The resulting analytical estimations might
be used during the design phrase for pseudo-noise
sequence acquisition systems for MC-CDMA based
military communication networks
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
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