Name
Loyko Valeriy Ivanovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 147
In this article the size of material stream in bread-production chain with use of the theory of indistinct sets and application of risk component is predicted, the interval model of definition of efficiency is developed
The analysis and assessment of risk at the macrolevel
in this context is understood as assessment of extent
of influence of the external environment (macro
environment) on activity of the integrated production
system. In the article the model and the technique of
calculation of an integrated indicator of risk of an
adverse effect of the external environment of the
agro-industrial integrated production system is
offered. All stages of creation of the model which
include representation of basic risk factors of
macrolevel in the form of linguistic variables are
described, each of basic risk factors is a compound
linguistic variable. For obtaining total value of a
basic factor the matrix scheme of aggregation of
compound factors to basic level is used. The
equation of model of an integrated indicator of risk
of an adverse effect of the external environment on
the integrated production system is presented. The
principle of recognition and interpretation of result
on the basis of standard fuzzy 01-classificators is
shown. Also in this article the interrelation of an
integrated indicator with the choice of the strategy of
development for business system by definition of a
condition of the external environment is shown, and
depending on it the strategic scenario of development
of business system is offered
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 the article the development of software and its application in acceptance of the optimum administrative decisions at the agriculture enterprise is considered.
The article deals with the results of research of acoustic and magnetic field influence on conductivity and pH value of hydroponic solution. For carrying out researches in this area the hypothesis of possibility of nutrient solution influence on ions by means of an acoustic and magnetic field is set up. A laboratory scale plant was constructed for a pilot study of the hypothesis. The solution was moved in the tube passing through a ferrite ring with winding. Thus, the solution was exposed to the influence of acoustic and magnetic field. The object of research was hydroponic solution of (NH4)2SO4; (NH4)2HPO4; K2SO4; Ca(NO3)2; MgSO4 in water having adjusted concentration and acidity. The solution was taken from the tank of laboratory scale plant by means of the pump, passed through the working area of the acoustic and magnetic device, filter, and then was poured into the tank, from which the sample for pH level changing was taken. The pH value was measured at the temperature of 22С by using electronic pH-meter KL-009(1)A. For control of instrument readings acidity was tested by universal test-paper. The initial pH value of solution made 5. As a result of acoustic and magnetic treatment of solution pH value of hydroponic solution increased from 6 to 6.9. The results show the possibility of pH value correction by small energy input
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
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
In the article we have reflected a relationship between
the parameters of the research activities of scientific
and pedagogical collectives and the characteristics of
the educational environment in higher education. It is
known that the research activities of scientific and
pedagogical workers and teams - an integral part
functioning of the higher education institution (and
improving its efficiency is one of the most important
problems). The authors proved that parameters
reflecting research activity of scientific and
pedagogical higher education of institution employees
characterize the aspects of the educational
environment as its latitude, intensity, social activity,
coherence, mobility, stability, reliability and
efficiency. It is caused by the fact that the research
activities of scientific and pedagogical workers - a
multifaceted social and cultural phenomenon. The idea
of the diagnosis of the educational environment of a higher educational institution and its structural units,
based on an assessment of scientometric indicators
(criteria for research productivity), can be completely
suitable for international and Russian requirements:
the well-known Shanghai procedure shifts the
emphasis on the evaluation of various aspects of the
research activities in higher education; serious
attention to assessing the research activity focuses and
Russian technique diagnostic efficiency of higher
education institutions. This is logical and soundly: if
the educational environment of a higher educational
institution is not a center of science, then it cannot
have effectively and competitive graduates, because
Research and pedagogical staff - the governing factor
in the educational process. Based on previously
developed models of research activities in scientific
and pedagogical collectives, as well as on generally
accepted models of educational environments, the
authors have proposed a method for the diagnosis of
the educational environment, based on an assessment
of scientometric indicators - parameters reflecting the
impact of the research activities of scientific and
pedagogical workers. Obtained results may be the
theoretical basis for further scientific understanding of
the problem of increasing the productivity of research
activities in higher education, as well as problems -
increasing the competitiveness of educational
environments. The practical significance of the results
of this study - the possibility of their use in the system
of socio-pedagogical monitoring - monitoring of
productivity the research activities and effectiveness of
educational environments. Methods of investigation:
modeling, methods of the theory of sets and relations,
methods of probability theory and mathematical
statistics, methods of the theory of limits, methods of
linear algebra and analytic geometry, multi-parameter
analysis of the systems and methods of quality control
(latent variables theory). Methodological bases of
research: a systematic, metasystem, qualimetric,
sociological and probabilistic and statistical
approaches
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 modern approach for the assessment the client's solvency for loaning is considered in the article.This approach explains the use of scoring models to optimize the decision-making process for the loan request. The approach to systematize the credit scoring with descriptions of new methods, models and toolkits making it possible to increase opportunities of the assessment and analysis is recommended with the experiment is recommended