The article proposes to use the automated systemcognitive
analysis (ASC-analysis) and its software tool
which is "Eidos" system to solving multiparameter
typing, system identification and cartographic visualization
of spatially-distributed natural, environmental
and socio-economic systems. Imagine, that we have an
original point cloud with coordinates (X,Y,Z), each
with known values of gradation descriptive scales of
nominal, ordinal, or numeric type S(s1,s2,...,sn). Then
the "Eidos" system provides: 1) building a model that
contains generalized knowledge about the strength and
the direction of the influence of descriptive gradations
of scales at Z=M(S); 2) estimation of the values of Z
for points (X,Y) described in the same descriptive
scales S(s1,s2,...,sn), but not a part of the original point
cloud; 3) a cartographic visualization of the spatial
distribution of values of the function Z=M(S) for
points outside the initial cloud, using Delaunay triangulation.
Basically, this means that the "Eidos" system
ensures recovery of the unknown function values on
the grounds of the argument and implements it in a
generic setting, independent of subject area. We propose
a new scientific concept called "Geo-cognition
system", which is defined as a software system that
provides conversion of source data into information,
and knowledge in visualization and mapping of this
knowledge, resulting in the cognitive map becomes
graphics. This feature can be used to quantify the degree
of suitability of the watersheds for cultivation of
certain crops, the evaluation of the ecological situation
on particular territories on the structure and intensity
of anthropogenic load, visualization of results of forecasting
of earthquakes and other unwanted risks or
emergencies, as well as for solving many other similar
mathematical essence of tasks in a variety of subject
areas. We have also shown a simple numerical example
In this article, we consider images of corn plant on the
example of painting, ceramics, postcards, Soviet
propaganda poster, porcelain and post stamps.
We have shown the technology of education process.
The first is the creation of the of illustration images,
the second are the analysis, comparison, interpretation
and searching for new information. The method of
sketches as the basis of education technology is used in
this article. The analysis of corn plants depiction
collected in the library of images, i.e. iconography,
was provided to send the information about the history
and speed of spread of corn plant in Europe and to
select the species peculiarities, the cultivation
technology and using in Russia. In addition, the
anomalies of corn plant, development of their
reflection in painting are noted. The history of genetic
researches of this plant is demonstrated in this work.
On the examples of great artists’ works, we have
reflected species varieties of corn plant, as well as the
phenomenon of xenia; we have also touched the
questions of mobile genetic elements. In this works,
we have pointed the features of cultivation of corn in
Russia, demonstrated the popularization of this cereal.
The main idea of the base images is receiving new
knowledge about an object by means of collecting
images, visual analysis, search for information and
study material. The new approach is obtaining new
knowledge, which is a motivated and fascinating
method of gathering new scientific information
The drawbacks of the existing ontology languages and problems of their practical application are discussed in this paper. The requirements for the process of ontologies creating are laid down. A simplified method of constructing the ontological domain model on the basis of the original language SXML is proposed
This article presents the results of the use of feed
concentrate from vegetable raw materials called
"Sarepta" in the amount of 5, 7.5% and 10% by
weight of the feed, instead of sunflower meal in the
feeding of Russian sturgeons. Studies have been
conducted among 3 year old Russian sturgeons in the
conditions of PRIBOY company in the Bykovsky
district of the Volgograd region. The experiment
lasted 24 weeks. Replacing sunflower meal with a
product of processing of oilseeds - feed concentrate
Sarepta, made from vegetable raw materials, in the
composition of feed for sturgeons had a positive
effect on live weight, absolute, average daily and
relative gains and costs of feed. The use of "Sarepta"
feed concentrate, made from vegetable raw materials
in the feeding of Russian sturgeon contributes to the
increase of live weight of 3.1-6.0 per cent, an absolute
increase of live weight by 5.07-9.82 percent, and
average daily and relative body weight increase. It
was also found, that we had a decrease in feed
consumption during the period of experience in the
experimental groups. Morphological and biochemical
parameters in experimental fish in all groups were
within the physiological norm, which indicates a
normally occurring redox processes in the body