Scientific Journal of KubSAU

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 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 goal of the study is to research experimentally a 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 specially developed computer model of algorithm in Simulink. The achieved results have shown high efficiency of the considered acquisition method in contrast to sequential search method. The proposed algorithm can be used in multicarrier systems for acquisition of aperiodic pseudo-noise sequences in wireless public networks and in military communication networks

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

The purpose of the research is the development of new methods of the estimation of the importance of scientific journals. It is known that for assessing the significance of scientific journals it is used a universally recognized impact factor, which reflects the average number of citations to the articles published in the magazine for a certain period of time. For a more objective assessment of the significance of the journal in the scientific community we use such indicator as the index of efficiency, which reflects how quickly the articles in the scientific community published in the journal become known and recognized. At the same time, the impact factor as one of the scientometric indices has inherent definite disadvantages, the main of which - the stimulation scientific edition to the artificial reduction of the number of published articles, instead of increasing demands to improve their scientific level. It is necessary to develop a method of assessing the significance of the journal for the scientific community, preserving the dignity of the impact factor and reduce its disadvantages. Application of extra scientometric indicators, in addition to the impact factor and the index of efficiency, will allow assessing the importance of the journal for the scientific community more objectively. Methodological bases of the research are: a systematic approach (considering science as a social institution in close connection with the society as a whole), metasystem approach (considering the scientific community as a metasystem, i.e. a system with a relatively independent components), qualimetric approach (considering the importance of the scientific journal as a latent variables that reflect a variety of criteria), sociological approach (considering the scientific publication as a social system, the intensity of interaction with other society)

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

The article describes a software complex which allows carrying out computer experiments in the study of economic efficiency of integrated production structures in agriculture and their stream of interaction. The article provides software used in complex mathematical ratios and their machine algorithms implementation. The authors have given a detailed description of the user interface with graphic examples. The application is written in programming language C#. This language was chosen for several reasons. The first reason is of course that C# is cross-platform that gives you the opportunity to use this app on any platform, and plays an important role in research activities. The final decision was influenced by the fact that in C# is implemented for working with charts, using standard library chart that provides a significant advantage compared to other programming languages during the development of the software complex