Scientific Journal of KubSAU

Dependence of the Earth seismic activity, magnetic field and polar motion on the sunspots number is ex-amined on the basis of semantic information models

Dependence of seismic activity parameters on celestial bodies’ positions and geographical and magnetic poles displacement is examined on the basis of semantic information models

Semantic informational model of systemic-cognitive analysis (SC-analysis) is described in this article in brief, universal information measure of force and direction influence of factors values, independent from their nature and measurement units on the action of an object’s management ( based on the lemma Neiman-Pierson), and nonmetric integral criterion of similarity between images of concrete objects and generic mages of classes, images of classes and images of factors values are introduced as well. Identification and prognosis are considered as a decomposition of an image of a concrete object in a row by generic images classes (object analysis), it is offered to consider as a possible variant of decision of the thirteen problem of Gilbert in practice.

One of the key problems facing the credit institution is the late payment of the loan. Firstly, it is a deeper analysis - in order to be carried out “manually” it is not even required several days, but weeks. Secondly, it allows you to work with clients much faster. And most importantly scoring allows you to negate the influence of the human factor. An automated system, no matter how you look, cannot be liked or not. Data analysis is only based on facts. Scoring is beneficial to all. The bank is able to work faster and reduce the risk of loan defaults. Clients, in turn, can apply for a loan on terms that are more favorable

Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.

In the article the results of investigating the information properties of the celestial bodies of the solar system and its influence on the social choice of subjects are described. The reaction of each subject to the position of the celestial bodies of the solar system at the moment of birth was recorded and was processed for this. Each subject reacted via selection of one or several of 37 social categories, which composes totally 86314 cases. By applying artificial intelligence and statistical processing technologies discovered, that the parameter of the dispersion of the information of the signs of celestial bodies depends on the distance to the celestial bodies. The basic laws that describe the reaction of the group of subjects on the effects of gravitational fields of celestial bodies.

Initial data for designing of two-level semantic information model of management of agro industrial holding are analyzed in the article, task of their automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved. Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.

The 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

The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model is a system of information theory and implements, its software tools – intellectual system called "Eidos" for solving one of the important tasks of ampelography: to quantify the similarities and differences of different clones of grapes using contours of the leaves. To solve this task we perform the following steps: 1) digitization of scanned images of the leaves and creation their mathematical models; 2) formation mathematical models of specific leaves with the application of information theory; 3) modeling the generalized images of leaves of different clones on the basis of specific leaves (multiparameter typing); 4) verification of the model by identifying specific leaf images with generic clones, i.e., classes (system identification); 5) quantification of the similarities and differences of the clones, i.e. cluster-constructive analysis of generalized images of leaves of various clones. The specific shape of the contour of the leaf is regarded as noise information on the clone to which it relates, including information about the true shape of a leaf of this clone (clean signal) and noise, which distort the real shape, due to the random influence of the environment. Software tools of ASA-analysis which is intellectual "Eidos" system provides the noise suppression and the detection of a signal about the true shape of a leaf of each clone on the basis of a number of noisy concrete examples of the leaves of this clone. This creates a single image of the shape of the leaf of each clone, independent of their specific implementations, i.e. "Eidos" of these images (in the sense of Plato) - the prototype or archetype (in the Jungian sense) of the images

SWOT analysis is a widely known and generally accepted method of strategic planning. However, this does not preclude the fact that it’s been criticized, often quite fair and well-reasoned. A critical review of the SWOT analysis revealed quite a lot of his weaknesses (disadvantages), the source of which is the need to engage experts, in particular to assess the strength and direction of influence factors. It is clear that the experts do it by the informal (intuitive), on the basis of their professional experience and competence. But experts have their limitations and often for various reasons they can't and don't want to do it. Thus, the problem arises of the SWOT-analysis, without the involvement of experts. This problem can be solved through automation of the functions of the expert, i.e. by measuring the strength and direction of influence factors directly based on empirical data. This technology was developed long time ago, it is already 30 years old, it was named "Eidos". This article on real numerical examples describes in detail the possibility of automated quantitative SWOT analysis by means of ASC-analysis and intelligent systems of "Eidos X++" without help of experts, when the estimations are based directly on empirical data. We have also proposed a solution of direct and inverse problems of the SWOT analysis. PEST analysis has been considered as a SWOT analysis, with more detailed classification of external factors. Therefore, the conclusions obtained in this article on the example of SWOT analysis can be extended to PEST-analysis