Scientific Journal of KubSAU

Intuitively everyone understands that noise is a signal in which there no information is, or which in practice fails to reveal the information. More precisely, it is clear that a certain sequence of elements (the number) the more is the noise, the less information is contained in the values of some elements on the values of others. It is even stranger, that noone has suggested the way, but even the idea of measuring the amount of information in some fragments of signal of other fragments and its use as a criterion for assessing the degree of closeness of the signal to the noise. The authors propose the asymptotic information criterion of the quality of noise, and the method, technology and methodology of its application in practice. As a method of application of the asymptotic information criterion of noise quality, we offer, in practice, the automated systemcognitive analysis (ASC-analysis), and as a technology and software tools of ASC-analysis we offer the universal cognitive analytical system called "Eidos". As a method, we propose a technique of creating applications in the system, as well as their use for solving problems of identification, prediction, decision making and research the subject area by examining its model. We present an illustrative numerical example showing the ideas presented and demonstrating the efficiency of the proposed asymptotic information criterion of the quality of the noise, and the method, technology and methodology of its application in practice

The authors have developed and manufactured a large number of different designs of relative helical drums for mixing animal feed. We have conducted 749 field experiments with the drums of the 10 different designs with different parameters modes of operation. In all experiments, we measured the quality of the feed mixture. However, directly based on empirical data, rational choice of design features and parameters of the operation modes of the reels is not possible. For this, you must first develop a model reflecting these empirical data. The construction of meaningful analytical models of different types of drums is a difficult and demanding scientific task, the complexity of which is due to the large variety and complexity of forms of drums and their mode of usage, a large number of diverse physical factors affecting the processes in the drum. As a consequence, the development of analytical models associated with a large number of simplifying assumptions that reduce their versatility and reliability. Therefore, it is important to search of a mathematical method and software tools provide a quick and simple for the user to identify and influence the design of the drum and the parameters of the operating modes on the quality of the feed mixture directly on the basis of empirical (experimental) data. The work proposes a solution to this problem with the use of a new universal innovative method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – universal cognitive analytical system called "Eidos". In the system of "Eidos" we have implemented a software interface that provides direct input into the system large amounts of empirical data from Excel file. Created on their basis in the system of "Eidos" system-cognitive model allows the visual form to reflect the effect of the structure of the drum and the parameters of the operating modes on the quality of the resulting feed mixture and to develop on this basis the science-based and appropriate recommendations for the rational choice of design features and parameters of the modes relative to the screw drums. We have also given a numerical example

The problem of identifying authors and literary sources for bibliographic descriptions in the literature in recent years become increasingly important scientific and practical value. This is, in particular, due to the policy of the Ministry of education and science of the Russian Federation in the field of quality assessment of the results of scientific activity, which involves the use of a number of references to publications of authors and the Hirsch index. In Russia, appropriate analytical tools to evaluate the results of scientific activity, functionally similar to the well-known foreign bibliographic databases such as Scopus, Web of Science and other. Currently, the most famous Russian similar service is the Russian science citation index (RSCI): http://elibrary.ru/. However, as experience shows, references in bibliography list of publications are often made with a violation of GOST 7.1-2003 rule, and with the erroneous output, for example, incorrectly specified page numbers, name of publisher, etc., In practice, this leads to the fact that software system of bibliographic database cannot determine what is the right reference for the article and who were the authors of this article. As a result, for these authors we lost the citation, which leads to an underestimation of their Hirsch indexes and evaluation of the results of their research activities and leadership. It is clear that these negative consequences should be overcome. This article is devoted to the presentation of the ap-proach, which allows to solve the problem by apply-ing an ASC-analysis and intelligent system named "Aidos", which is a modern innovative smart technology ready for implementation

In the article appointment of the alphabet is discussed and criteria of its efficiency are proved. The technology and an application technique of systemic-cognitive analysis and its toolkit - "Eidos" system for a quantitative estimation of standard graphic fonts on one of these criteria: discernability of symbols are examined in details.

In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.

In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.

In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.

In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidos" system for information semantic models of time numbers (on an example of one of segments of the share market) and uses of these models for the decision of problems of forecasting and decision-making support, and also subject domain research is examined

In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidoses" system is shown for synthesis and verification of information semantic models of time numbers (on an example of one of segments of the share market)

In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidos" system is shown for synthesis and verification of information semantic models of time numbers (on an example of one of segments of the share market)