Kuban State Agrarian University
Author list of organization
List of articles written by the authors of the organization
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Description
The quality of life of the population of the region is an important integral criterion of estimation of efficiency of activity of regional administration. Quality of life is mostly influenced by environmental factors. This article proposes to solve the problem of research of the influence of environmental factors on various aspects of quality of life by using ASC-analysis
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01.00.00 Physical-mathematical sciences
DescriptionDependence of the Earth polar motion on celestial bodies’ positions is examined on the basis of semantic information models
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06.02.00 Veterinary and Husbandry
DescriptionThe article is devoted to the use of automated system-cognitive analysis for the study of probiotics for the growth of bulls. Moreover, as growth indicators we have not used live weight, but indices characterizing the shape and proportions of the body of animals. A detailed numerical example of solving the problem using real data is given
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06.02.00 Veterinary and Husbandry
DescriptionThe article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
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AUTOMATED SYSTEM-COGNITIVE ANALYSIS IN AGRONOMY
DescriptionAgronomy systems with good reason can be considered as complex multiparameter natural and technical systems. In these systems, there are numerous and diverse physical, chemical and biological processes. On the one hand, these processes have a significant impact on the performance of these systems. On the other hand, they are extremely difficult to be described in the form of meaningful analytical models based on equations. As a result, the development of meaningful analytical models is associated with a large number of simplifying assumptions that reduce the validity of these models. Usually we consider linear univariate models for agronomic systems, whereas practices are necessary for nonlinear multiparameter models. Thus, we face the problem proposed to be solved by the application of a phenomenological meaningful systemic cognitive models. These models are created using automated system-cognitive analysis (ASC-analysis) using the intellectual system called "Eidos" directly based on empirical data and used for the decision of tasks of forecasting, decision support and research of the modeled subject area. In this case, empirical data can be large, incomplete (fragmented), noisy, presented in different types of measuring scales (nominal, ordinal and numerical) and in different units of measurement. The comparability of the processing of heterogeneous data is ensured by the fact that they are all converted into units of measurement of the amount of information. A numerical example has been given
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AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF ANTIBIOTICS IN VETERINARY MEDICINE
06.02.00 Veterinary and Husbandry
DescriptionAntibacterial chemotherapeutic drugs, which include antibiotics and synthetic antimicrobial agents, are widely used in veterinary medicine for the prevention and treatment of diseases caused by microorganisms. Antibacterial agents can be classified by type of action and chemical structure. It is also known that when several drugs are used in combination with each other, they interact within the body with each other, which can lead to strengthening or weakening of their action. For these reasons, it is of scientific and practical interest to develop a classification of antibiotics by their characteristics and principle of action (task 1), as well as by mutual compatibility (task 2). The article solves these problems using a new method of agglomerative cognitive clustering, implemented in automated system-cognitive analysis (ASK-analysis). This method of clustering has a number of advantages over the known traditional methods of clustering. These advantages allow us to obtain clustering results that are understandable to specialists and amenable to meaningful interpretation, which are well consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods. The article provides detailed numerical examples of solving two problems. The universal automated system called "Eidos", which is a tool of ASK-analysis, is in full open access on the author's website: http://lc.kubagro.ru/aidos/_Aidos-X.htm. Numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as cloud Eidos-applications and are available to everyone
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AUTOMATIC TECHNOLOGIES OF KNOWLEDGE MANAGEMENT IN AGRO INDUSTRIAL HOLDING
DescriptionIn the article the main problem of management of agro industrial holding is generated and approaches to its decision are briefly reviewed on a basis of "management of knowledge", also a parity of data, information and knowledge, procedure of revealing of knowledge from data, a way of use of knowledge for forecasting and decision-making, stages of life cycle of the intellectual appendix and the basic results of application of the modern automated technology of management of knowledge - the Systemic cognitive analysis for management of agro industrial holding are examined
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THE AUTOMATED SUBSYSTEM FOR ADVERTISING BUDGET PLANNING
DescriptionThe article describes the structure, the algorithm and the example of using of an automated subsystem for advertising campaign budget planning. This subsystem enables automated distribution of funds allocated for the advertising budget, by types and items of promotional activities, taking into account the effectiveness of a particular kind of advertising, as well as the seasonal changes on individual expenses items. The article substantiates the relevance and the need for the development and testing of the subsystem described by the example of "Kairos" Ltd
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Description
The article describes the structure and the example of using automated subsystems, which can be used in telecommunication companies for the most efficient process of automation of office staff related to budget planning, which includes monitoring and planning of incomes, earned whereby customers of various branches and segments. After analyzing the business processes of the research object - groups of operational planning of the Stavropol branch, as well as the evaluation of existing approaches to solving the problem of income planning, it was concluded that it’s necessary to develop an automated subsystem. According to the instructions of the corporate center, while planning the budget, the staff must use a technique of planning and control of budget revenues, implying a partition total planned revenue for each branch income from different segments, followed by separation of each group income by services and articles, as well as a formulation of the work plans for managers who deals with large and small customers. The results can also be used to make recommendations on the formulation of individual plans for sale-managers, on further areas of cooperation with customers, the MRB and the CC based on the analysis and evaluation of divisions of the organization’s KPI