Scientific Journal of KubSAU

In peach orchards of the Russian humid subtropics, leaf curl is the most dangerous and harmful disease. Due to the high degree of danger from the peach leaf curl, for the first time in this region the main task was to analyze peach leaf curl development on weather conditions. In order to solve the problem, it is proposed to apply a new innovative intellectual technology: automated system-cognitive analysis (ASK-analysis) and its software tools - the “Eidos” system. In order to build the model, based on our own observations and the experience of Russian and foreign colleagues, it was decided to use the following factors: the sum of temperatures above +4 ° C of the current year (for the period from January to April), the sum of temperatures above +4 ° C of the previous year (for the whole year), the sum of precipitation of the current year (for the period from January to April), the sum of precipitation of the previous year (for the whole year), the number of hours of infection (in the current year). It was established that such factors as the number of hours of infection, the sum of temperatures above +4 ° C in April and during the period from January to April, as well as the sum of precipitation in March and April, are the most important in the dynamics of peach leaf curl development and spread. High rates of leaf curl spread and development are caused by the number of hours of infection in the range of 1440 ... 2064 hours, as well as by low air temperatures in March and April (the sum of temperatures above +4 °C – 89,4-240,4° and 283,7-316,7°, respectively) and high air temperatures - in January and February (the sum of temperatures above +4 ° C – 155,3-259,6° and 243,5-280,1°, respectively)

In their previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, as well as the synthesis and verification of system-cognitive models. This work is devoted to the problem of forecasting the impact of the nomenclature and sales volumes on the profit and profitability of a trading company

Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.

The article covers the present state and prospects of the development of the polythematic online electronic scientific journal of Kuban state agrarian University, along with describing its features

In this article we consider application of the automated systemic and cognitive analysis (ASK-analysis), its mathematical model – a systemic information theory and the program tools realizing them – the intellectual Eidos system, for input (digitization) of images from graphic files, synthesis of the generalized images of classes, their abstraction, classification of the generalized images of classes (clusters and constructs), comparison of concrete images with the generalized images (identification) of classes, comparisons of classes with each other and creations of the generalized images of genus of ground beetles on the basis of images of the types. The new approach to digitization of images of ground beetles based on use of a polar frame, the center of weight of the image and its external contour is offered. Before digitization of images, their transformations standardizing the provision of images, their sizes and an angle of rotation can be applied. Therefore, the results of digitization and the ASK-analysis of images can be invariant (are independent) concerning their situation, the sizes and turn. There is a successful experience of the solution of similar tasks in other subject domains. This article can be considered as a continuation of series of the works devoted to application of the automated systemic and cognitive analysis (ASK-analysis) and its program tools – the Eidos system

We study the correlation between the stock index S & P 500 with the parameters of seismic activity, the position of celestial bodies and shifts the geographic and magnetic poles

The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability

This work continues the series of works written by the author on the application of modern scientific methods in the study of human consciousness. In 1979-1981, two monographs were written devoted to higher forms of consciousness, the prospects of man, technology and society. One of these monographs was two-volume and was called "Theoretical Foundations of the Synthesis of Quasi-Biological Robots." In these monographs the author proposed: 1) criterial periodic classification of 49 forms of consciousness, including higher forms of consciousness (HFC); 2) based on this classification, there were psychological, microsocial and technological methods of transition between various forms of consciousness, including methods of transition from the usual form of consciousness to the HFC; 3) information-functional theory of the development of technology (including the rule of improving the quality of the basis); 4) information theory of value; 5) 11 functional schemes of technical systems of future forms of society, including remote telekinetic (mental) control systems; 6) the concept of development of society in groups of socio-economic formations; 7) the concept of determining the form of human consciousness by the functional level of the technological environment; 8) mathematical and numerical modeling of the dynamics of the probability density of states of human consciousness in evolution using the theory of Markov’s random processes. In this study, we carry out a complete automated system-cognitive analysis (ASC- analysis) of the periodic criteria classification of forms of consciousness proposed by the author in 1978. To this end, the following tasks are solved in the work: cognitive structuring and formalization of the subject area; synthesis and verification of statistical and system-cognitive models (multi-parameter typification of forms of consciousness); systemic identification of forms of consciousness; their typological analysis; investigations of a simulated domain by examining its model. We have also given a detailed numerical example of solving all these problems

There are many opinions on the question of what kind of society we live in at the beginning of the XXI century. Previously, it was believed that this is a post-industrial society. There was even an opinion that it would be a society of developed socialism or even a communist society. After that, the opinion on this has changed. First, modern society was called the information society, and then the society based on knowledge. The latest news in this area is that it seems that modern society is a digital society, that is, a society, based on digital technologies, digital communications, digital information processing and transmission technologies, as well as digital artificial intelligence technologies. In a digital society and science people must move to digital intelligent research technologies. In particular, the question arises as to whether veterinary medicine in a digital society should not also become cognitive veterinary medicine. This work is devoted to a detailed and reasoned (according to the authors) answer to this question. The methodology and terminology in this new field is not yet established and is not generally accepted. Therefore, in this work a lot of attention is paid to the logic and methodology of scientific knowledge, terminological issues and definitions of concepts

In the article, we develop the methodology of strategic planning and management of the holding on the theoretical basis of automated system-cognitive analysis (ASC-analysis). This methodology provides scientific research of any holding by creating and researching its model. The methodology includes both the synthesis, adaptation and verification of system-cognitive models of the holding, and the use of these models for strategic planning and decision support for managing the holding, as a complex, multiparametric, nonlinear system. The relevance of the research is due to the special role of holdings and other corporate integrated structures both in Russia as a whole and, in particular, in the Krasnodar region. Despite obvious system advantages, holdings face a wide range of problems related to management efficiency, ensuring their sustainable functioning, etc. The proposed methodology offers ways to solve these problems and can be successfully applied in holdings and other corporate integrated structures of various regions, volumes and areas of activity, which determines the relevance of the research topic. The level of significance and scientific novelty of the Research consists in the development of conceptual and theoretical and methodological provisions aimed at managing the development of holdings. The expected results and their significance are that the methodology developed as a result of the Research can be applied by holding companies and other corporate integrated structures and will significantly improve the quality of their management