Scientific Journal of KubSAU

In this article, the routine of synthesis of four models of the corporation, different by frequent measure of correlation between past indexes of the factories entering into corporation and the future statuses of corporation as a whole is featured, verification of all private models with utilization of two integral measure is fabricated, forecasting of the future statuses of corporation on their system of determination is performed

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

The article deals with the use of intelligent technology "Aidos" for the prevention of fires, electrical injuries, and accidents at agricultural sector and optimizing the security measures of human-machine systems. Causes of accidents are multi-phase or single-phase short-circuit in the supply network or electrical installation, the failure of the primary protective equipment and violations of regimes for electrical installations, causing overloads, deterioration of the insulation of supply cables, the mismatch of protective devices to regulatory requirements. Implementation of systemcognitive analysis provides a reduction in the number of dangerous fabricated experiences at hazardous production facilities. Due to the application of ASCanalysis, it provides a more efficient operation of electric installations on dangerous industrial objects, which means to prevent fires, electric shock injuries, accidents and optimize the safety measures for manmachine systems. Users of the system called "Eidos" may be companies with a high risk of appearance of the accidents at hazardous production objects: agroindustrial complex, gas supply, heat and electricity, oil-processing components, metallurgical industry, chemical, petrochemical and oil industry, main pipelines-wire transport, food and oil industry and others. Planned efficiency and effectiveness of the implementation of ASC-analysis is provided by reducing the number of dangerous man-made situations: accidents, fires, and electrocution on dangerous production units-projects. The implementation of ASCanalysis allows to increase city efficiency of forecasting of the technical condition of the power plant and to determine its residual lif

In this article, in accordance with the methodology of SC analysis, we consider particular implementation stages of the synthesis of the numerical model and its analysis. We have also presented the results of the determination of the different states of the processing complex function of various factors on these states and their classification, as well as semantic networks and cognitive class diagrams and factors. On the basis of the analysis we made specific findings and recommendations for decision making at the management level of the region. After execution of the stages of cognitive structuring and formalization of the subject area the further stages of automated SC analysis have been accomplished, the first of which is the phase of the input database of precedents. All these steps are performed directly using "Eidos" universal cognitive analytical system

In the article, the problem of agribusiness industry control is stated, the purposes of control and measure of its success, and also composition of the computerised management system, including control object, controlling system, informational-measuring system and also a subsystem of rendering of corrective actions are considered. What is offered: 1) the control purpose is to consider a raise of quality level of life of the population of region; 2) the capacity of measure of success of control is to consider indexes of quality level of life of the population; 3) numbers and direction of investments can be used as the controlling factor; 4) synthesis and verification of model of agrarian and industrial complex can be performed directly in a cycle of control, based on application of system-cognitive analisys (SC-analisis) and its programmatic tooling - "Eidos" intellectual system; 5) forecasting of evolution of agrarian and industrial complex and production of controlling solutions can be performed on the basis of cognitive model of agrarian and industrial complex with SC-analisis and application of "Eidos" system

Since there are many alternatives to artificial intelligence systems, there is a need of assessment of the quality of mathematical models and systems of artificial intelligence that support these models. This work is aimed at studying and developing standard methods of using the database of UCI repository to assess the quality of mathematical models of systems of artificial intelligence. The aim of this work is the development of methods for assessment of the quality of mathematical models of artificial intelligence systems for the classification of animals by external evidence-based database of the UCI repository. The objectives are: systematization, consolidation and expansion of theoretical and practical knowledge in the discipline of Intellectual information systems and technologies; study of "Eidos" intelligent information system; solving the task with the use of "Eidos" intelligent information systems. The object of research is the "zoo" database of UCI repository. In the first Chapter there is an overview of the theory to the solution of the problem, identification of problems, the original data, tools and metrization scales. In the second Chapter of the work we present the solution of the task. In the conclusion, the results of the work have been made; the conclusions on the achievement of goals and objectives have been given

Without science it would be impossible to form a full environmental consciousness. To increase the validity and weight of the findings on the impact of environment on quality of life, it is necessary to quantify the strength and direction of the influence of diverse environmental factors. However, it appears that this is quite problematic for a number of reasons. First, it is the lack or inaccessibility of source of data which is necessary for such type of research. The same data, which still can be found cover just small periods of observations (small longitudinal research data), and their completion, including performing experiments, is fundamentally impossible. As a result, it is impossible to require such full data replications, which is a necessary condition for correct applying of factor analysis. Secondly, environmental factors are described with heterogeneous indices measured in different types of measurement scales (nominal, ordinal and numerical) and in different measurement units. Mathematical methods of comparable processing of such data, and the right software tools for these methods, generally speaking, do not exist. Third, these tasks are large-scale problems, i.e. they are not talking about 5 or max 7 factors as it was in factor analysis, but about hundreds and thousands. Fourthly, the original data is noisy and require sustainable methods. Fifthly, environmental factors are interrelated and require nonlinear nonparametric approaches. To solve these problems it is proposed to apply a new innovative intelligent technology: automated system-cognitive analysis and its software tool – a system called "Eidos". We have also given a brief numerical example of assessing the impact of environmental factors on life expectancy and causes of death

The article describes the synthesis and verification of statistical and system-cognitive models of the influence of environmental factors on the quality of life of the population of the region. This stage of the ASC-analysis is performed in the system called "Eidos". As a result, we have created and validated (verification stage) all the specified systemic cognitive models. It is expected that reliability for the models of knowledge is sufficiently high for a given subject area, that is why we can state the discovery of a dependence of life expectancy and causes of death from environmental conditions. Typically, knowledge models are approximately 20% higher in accuracy than statistical models, which operate on the principle of positive pseudo-prediction. Making decisions based on the model of Abs (matrix of absolute frequencies) is not appropriate because of the different number of instances of classes (generalized categories) and dependence of the solutions of this amount. In the model called Prc2 (conditional and unconditional percentage distribution) the dependence of the model values of the number of examples in classes has been removed, but the accuracy of it is usually same low as in the Abs. In addition, for decision-making based on this model, one has to compare the values of conditional and unconditional probabilities manually, which is laborious and hardly possible for large dimensional models. The knowledge model called Inf3, based on a measure similar to the Chi-square, is the result of the automated comparison of values of conditional and unconditional probabilities presented in the model of Prc1, which is similar to Prc2, and usually has a fairly high accuracy, especially considering the high complexity of the subject area, which we simulated. Therefore, in accordance with the technology of the ASC-analysis data conversion into information, and afterwards - into knowledge, it is the model of Inf3 which is planned to be used for the solution of problems of identification, forecasting, decision-making and exploring the modeled subject area, through the study of its models

On the one hand, man is a physical object and a person. Therefore, we interact with the reality, on one hand, directly as a physical object, but on the other hand as a person, i.e. indirectly through our psyche. On the basis of information from the senses, the consciousness of a person creates a subjective model of reality. A man mistakes his subjective model of reality for reality itself, i.e. unnecessarily assigns an ontological status, by the hypostatizations. In fact, as the reality a man perceives not reality itself, but only its subjective model of that reality. As a result, as a physical object, a person lives in the physical world, and as a person he lives in his subjective model of physical and social reality created on the basis of information coming to his senses directly and from the media. This work considers the process of formation of subjective 3D models reality based of large numbers of 2D images, a distinction is made in the content of terms: "Seeing" and "Sensing"; it also analyzes the transformation of objective facts into subjective perceptions of consciousness and back. As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements

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++"