Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
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 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.
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
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
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
In the article the problem about appointments (backpacks) in various and more general statements is shortly examined: 1) the size of cargoes and volumes of backpacks; 2) the various utility of cargoes depending only from cargoes, but identical to all backpacks, and various expenses for their placing, and also restrictions on the resources, connected with backpacks, spent for cargoes at their placing; 3) various utility of each cargo for different backpacks, various expenses for placing of cargoes and various resources of owners of backpacks. The technology and an application technique of systemic-cognitive analysis and its toolkit - the "Eidoses" system for the solution of generalization of non-meeting in the literature before problem of the appointments, providing automatic forecasting of degree of utility of cargoes for different backpacks on the basis of signs of cargoes by the decision of a problem of recognition with application of the model based on base of precedents
To increase the validity of conclusions about the impact of environment on quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases need to be handled not just together, but in a comparable form approach, technology and methodology; and we need to implement them in one software system. For the first time in the environmental studies it has been planned to be done with the application of the ASK- analysis and the system called "Eidos". In this work, we set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of research method, the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields, that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy
In complex multiparameter technical systems there are
numerous and varied physical processes which, on the
one hand, have a significant impact on the
performance of those systems, and on the other hand, it
is extremely difficult amenable to description in the
form of meaningful analytical models based on
equations, because these models must take into
account the specific features of the systems. As a
consequence, the development of conceptual analytical
models is a "hand-made work" and it is associated with
a large number of simplifying assumptions that reduce
their versatility and reliability. But there is also another
principle of modeling: the construction of
phenomenological information models, i.e. models that
do not have analytical forms of representation that
describes the simulated system superficially as a
"black box". Such models can be built directly based
on empirical data and with the appropriate software it
can be a standard technology much faster and much
less time consuming than developing meaningful
analytical models. On the other hand, the
phenomenological information model can be sufficient
to determine the rational design features and
parameters of the modes of operation of complex
technical systems. Besides, such phenomenological
models can be viewed as the first stage in the
development of meaningful analytical models. It is
proposed to use a new universal innovative method of
artificial intelligence for creating phenomenological
models of complex technical systems: automated
system-cognitive analysis (ASC-analysis) and its
programmatic Toolkit which is a 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 an Excel file. The system of
"Eidos" can directly (based on empirical
(experimental) data) calculate how much information about the results of the technical systems is contained
in the facts of possessing certain specific structural
elements and certain values of the parameters modes
of its work. On this basis, the system provides
research-based and appropriate recommendations for
the rational choice of design features and parameters
of the operation modes of the simulated system