Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Loyko Valeriy Ivanovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

Email

loyko@kubagro.ru


Articles count: 147

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9150 kb

ASC- ANALYSIS OF THE DYNAMICS OF SCIENTIFIC RESEARCH FOR PUBLICATION IN THE SCIENTIFIC JOURNAL OF KUBAN STATE AGRARIAN UNIVERSITY

abstract 1001406007 issue 100 pp. 109 – 145 30.06.2014 ru 1025
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++"
161 kb

ADAPTATION OF THE MODEL OF BINARY DECISION MATRIX TO THE PROBLEM OF THE CHOICE THE TECHNOLOGY OF CULTIVATION CROPS

abstract 1141510115 issue 114 pp. 1595 – 1606 30.12.2015 ru 999
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
241 kb

INTEGRATED PRODUCTION SYSTEMS OF AGRO-INDUSTRIAL COMPLEX

abstract 1131509073 issue 113 pp. 1002 – 1013 30.11.2015 ru 979
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
405 kb

THE MODERN MODELS AND METHODS OF DIAGNOSIS THE RESEARCH ACTIVITY OF ACADEMIC AND PEDAGOGICAL COLLECTIVES

abstract 1121508139 issue 112 pp. 1912 – 1939 30.10.2015 ru 942
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
248 kb

DIAGNOSIS OF EFFECTIVE EDUCATIONAL ENVIRONMENT (ON THE EXAMPLE OF DEPARTMENTS AND FACULTIES)

abstract 1131509096 issue 113 pp. 1355 – 1379 30.11.2015 ru 907
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
180 kb

THE STUDY OF THE TEMPORAL CHARACTERISTICS OF THE SRP SYNCHRONIZATION METHOD FOR COMMUNICATION SYSTEMS FOR MILITARY AND CIVIL PURPOSES ON THE BASIS OF MCDS-CDMA

abstract 1131509015 issue 113 pp. 184 – 195 30.11.2015 ru 873
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
862 kb

SYSTEM-COGNITIVE MODEL OF FORECASTING THE DEVELOPMENT OF DIVERSIFIED AGRO-INDUSTRIAL CORPORATIONS. PART II. SYNTHESIS AND MODEL VERIFICATION

abstract 1131509098 issue 113 pp. 1397 – 1410 30.11.2015 ru 848
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
118 kb

QUANTUM DISTRIBUTION SYSTEMS AND PROBLEMS OF THEIR PRACTICAL IMPLEMENTATION

abstract 1141510071 issue 114 pp. 934 – 941 30.12.2015 ru 842
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
173 kb

MATHEMATICAL MODELING OF MUTUALLY BENEFICIAL RELATIONS BEETWEEN RAW MATERIAL PRODUCERS AND PROCESSORS BASED ON NONLINEAR DEMAND FUNCTION

abstract 1101506110 issue 110 pp. 1692 – 1707 30.06.2015 ru 835
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
262 kb

CLIENT INTERACTION TECHNIQUES WHEN USING AUGMENTED REALITY TECHNOLOGY APPLICATIONS IN SALES

abstract 1131509027 issue 113 pp. 329 – 339 30.11.2015 ru 835
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
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