Name
Serdyuk Vladislav Yurevich
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
Kuban State Agrarian University
Web site url
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Articles count: 3
In this article we consider application of the automated systemic and cognitive analysis (ASK-analysis), its mathematical model – a systemic information theory and the program tools realizing them – the intellectual Eidos system, for input (digitization) of images from graphic files, synthesis of the generalized images of classes, their abstraction, classification of the generalized images of classes (clusters and constructs), comparison of concrete images with the generalized images (identification) of classes, comparisons of classes with each other and creations of the generalized images of genus of ground beetles on the basis of images of the types. The new approach to digitization of images of ground beetles based on use of a polar frame, the center of weight of the image and its external contour is offered. Before digitization of images, their transformations standardizing the provision of images, their sizes and an angle of rotation can be applied. Therefore, the results of digitization and the ASK-analysis of images can be invariant (are independent) concerning their situation, the sizes and turn. There is a successful experience of the solution of similar tasks in other subject domains. This article can be considered as a continuation of series of the works devoted to application of the automated systemic and cognitive analysis (ASK-analysis) and its program tools – the Eidos system
From a huge number of the organisms inhabiting our
planet, insects make 70%, being the most numerous of
the invertebrate animal classes numbering more than 2
million types. It is difficult to find such place where it
would be impossible to meet representatives of this
huge class. They completely took over the entire environment
- water, the land, air. For them, it is the common
characteristic: complex instincts, omnivorous,
high fecundity, and for some of them – a public way of
life. Insects can be found at tremendous heights, reaching
the level of 5000 meters, and they inhabit the desert
where it practically never rains, not to mention the
absence of any vegetation. Deep caves where no sunlight,
nor the conditions for food and existence of living
organisms — it is also the habitat of insects, they
can be found far beyond the Arctic circle, and even on
many Islands of Antarctica, where in addition to lifeless
rock, it would seem that there is nothing else.
Among insects, one of the largest and most numerous
families are the ground beetles (Carabidae). They subtly
respond to changes in soil and vegetation, hydrothermal
and micro-climatic conditions of the environment,
which makes them a convenient model subject
to various environmental and Zoological researches.
Ground beetles belong to a large number of genera and
species, often difficult to see, in this regard, we use
many different signs to diagnose. We have taken into
consideration the coloration, body shape, external
structure, surface structure, size, and arrangement of
the genitals and chaetotaxy. Due to the fact, that the
number of ground beetles is enormous, and, using their
appearance, it is very difficult to determine their generic
identity, there is a need of automation of the
identification process, due to which we require a special
mechanism that would increase the accuracy of
these insects. In the previous work of the authors (http://ej.kubagro.ru/2016/05/pdf/01.pdf) we considered
the further possibility of using the method of
ASC- analysis to classify insects, not only in species
but also in genera, orders, thereby increasing the reliability
of determination of ground beetles, which will
be done in this article. A numerical example is given.
We also have gained a successful experience of solving
such problems in other subject areas. This article
can be considered as a continuation of the series of
works dedicated to governmental use of the automated
system-cognitive analysis (ASC-analysis) and its software
tools – the system of "Eidos"
Insects are a major component of natural biocenoses
and agrocenoses. One of the largest and most numerous
families are ground beetles (Carabidae); their
number, according to various estimates, is more than
30,000 species. For Carabidae beetles it is common to
have different ways of eating, a place of habitation,
occupied layers, seasonal and daily activity. They live
both on the surface and in the soil, more rarely on
bushes and trees. The types of the family of ground
beetles – active beetles with long, thin antennae of
uniform thickness, long elytra and long legs, adapted
to running. Their sizes vary from a few millimeters to
10 cm. As active predators, ground beetles play a huge
practical importance, destroying pests before reaching
the last threshold, thereby providing a natural regulation.
Based on the fact, that the number of beetles is
large, and their sizes are sometimes only a few millimeters,
there is a problem of determining the species
of these insects (or their identification), therefore it
took a special tool, which, on the one hand, facilitate
obtaining data about these insects, and on the other
hand, would increase their accuracy. This article proposes
a new (to this subject area) approach to identify
different species of ground beetles along their outer
contour with the use of software tools for automated
system-cognitive analysis (ASC-analysis) – the universal
cognitive analytical system called "Eidos,"
which is well-proven in the study of other objects. The
reason why it was decided to use this system is that
normal (standard) identification of ground beetles,
have certain disadvantages: the human factor (manifest
error in the determination); quite time consuming; the
inability to increase the number of criteria to improve
the reliability of the model comparison. This article
aims to overcome these drawbacks, by the use of universal
cognitive analytical system "Eidos", the automated
system-cognitive analysis (ASC-analysis). A numerical example is given