A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
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
It is well known that genetics studies the mechanisms of variation/heredity and widely uses the concept of "genetic information". While genetics considers the information as the content of the genetic code - structure of DNA and RNA included in the cell of a living organism. Genetics examines the mechanisms of recording, copying, readout of genetic information, the possibility of its modification and its influence on the characteristics and properties of the organism. In conversational and scientific language we know phrases, such as "Genes contain information about the characteristics/properties of the body." Paradoxically, we see no attempts to determine the amount of information contained in specific genes on specific characteristics or phenotypic properties of the organism. It would seem that the application of information theory in genetics is a completely natural and suggests itself. More strange that there are practically no works devoted to the application of information theory for solving problems of genetics. This article is intended, to some extent, to fill this gap on the example of calculating the amount of information in the genes of the characteristics or properties of different grape varieties. It examines the application of automated system-cognitive analysis (ASC-analysis), its mathematical model – system of information theory and software tools – intellectual system called "Eidos" for solving one of the important tasks of genetics: determine the amount of information contained in the genes on various phenotypic characteristics/properties of the grapes. To solve this problem, we perform the following steps: 1) cognitive-targeted structuring of the subject area; 2) the formalization of the subject area, i.e. development of classification and descriptive dials and graduations and training samples; 3) synthesis and verification of information model, reflecting the amount of information in the genes on the phenotypic characteristics/properties (multiparameter typing); 4) displaying the information about the genetic determination system of phenotypic characteristics/properties (SWOT analysis of Fennovoima); 5) displaying the information about the strength and direction of influence of a specific gene on phenotypic characteristics/properties (SWOT-diagrams of genes); 6) the solution to the problem of system identification phenotypic characteristics/properties by the presence of certain genes; 7) quantification of the similarities-differences of the various phenotypic characteristics/properties, upon determination system genes. A specific phenotypic property (or characteristic) is regarded as a noisy genetic text, including genetic information about the true gene property (clean signal) and the noise that distorts this information due to the random effects of the environment. The software tool of the ask-analysis which is "Eidos" intellectual system provides the noise suppression and the selection of true signal
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"
The article presents research results of a corn harvester
device for corn cobs separation from the stalks,
constructed as a separate picker. Each picker unit
consists of three pairs of flat conveying belts arranged
in parallel to vertical planes, namely an upper pair of
conveying belts, the lower pair of conveying belts and
fixed to corn harvester sweep frame, kinematically is
not connected to other mechanisms and is provided
with electric power with the possibility of adjusting
the width of the aisle and the rapid replacement of the
failed module with a spare unit in the field repairs.
Picker module provides simultaneous rotation of corn
ear on its axis and motion relative to the stem that
reduces corn cobs defect and energy consumption for
separating cob from stalk. The method of calculation
of the basic design parameters of the picker module is
developed
The article presents results of design development and
calculation methodology for corn harvesters stalks
shearing mechanism constructed as a module with a
storage device. According to the number of
engagement rows, these modules are mounted on the
sweep frame of corn harvesters. All modules have the
ability to accumulate energy, the rotation of saws in
which at each time point does not depend on saws
rotation in other modules and they are not connected
with each other and with other mechanisms.
Constructive execution of corn stalks shearing
mechanism with accumulation device allows rapid
separation of each module from the frame of the corn
harvester in order to eliminate possible problems
(change of saw or the entire module assembly). The
methods of the energy storage calculation and electric
motor power selection for each module are presented
The article demonstrates a possibility of creation of a
corn harvester with a sweep frame mounted from
individual modules. Such corn harvesters include
modules for cutting stalks, snapping modules,
conveyor modules for turning, stacking and feeding
the stalks in the shredding unit, conveyor modules for
supplying corncobs to the cleaning device placed on
the sweep frame, leading and managing bridges,
power unit, as well as conveyor belt for cobs and
auger for discharging the crushed plant matter. The
technique for calculating the grinding module drive
was shown. The arrangement of the modules on the
corn harvester sweep frame was demonstrated. Corn
harvesting with the suggested module corn harvester
allows not only reducing combine metal consumption
and reducing corn ears injuring, but improving
maintainability as well
The aim of the work is theoretical and experimental
confirmation of the possibility of improving the rate
of acceleration of tractor units due to installing of
elastic-damping mechanism with variable stiffness in
tractor transmission. Speed tractors application in
agricultural production meets a number of difficulties
associated with the unsteady processes during
acceleration of machine and tractor units. The resulting
large inertial loads when accelerating result in
loss of engine power, due to which the machinetractor
unit is operating at reduced performance and
efficiency. An analysis of published studies shows
that the acceleration performance of tractor units is
greatly influenced by the stiffness and damping
properties of the transmission of energy resources.
To provide smooth acceleration of the unit it is proposed
to install elastic-damping mechanism with
variable stiffness in tractor transmission. As a result,
the tension of the acceleration process decreases. The
results of analytical and experimental studies on the
effect of elastic-damping mechanism installed in the
class 5 tractor transmission, on acceleration capabilities
of tractor units are given. The optimum parameters
of elements of elastic-damping mechanism with
variable stiffness for class 5 tractors are determined.
It is proved that the use of elastic-damping mechanism
with a variable stiffness in the tractor transmission
improves acceleration indicators
We have performed a mechanical activation of TiNi
powder; as a result, PN47T26TS27 powder after
mechanical activation is flat discs ranging in size
from 10 to 30 microns. We have developed a
composition technology "steel - material with shape
memory effect" by high-velocity oxygen-fuel
spraying of mechanically activated powder based on
TiNi. We have determined the optimal processing
parameters to ensure a nanostructured surface layer.
We have estimated the process parameters of highvelocity
oxygen-fuel spraying. The basic parameters
are: propane flow rate 60-85 l / min, that of oxygen
120-160 l / min, flow rate of powder and carrier gas
(argon), distance and angle of deposition, and
movement speed of the torch, the rotation speed of
the coated workpieces. We have carried out macroand
microanalysis of surface layers of Ti-Ni based
alloy, obtained on proven technology. We have
studied the effect of TiNi doping with a third
component Zr. The simulation allows us to predict
the possibility of using surface modification of
products with SME material TiNiZr under certain
conditions of temperature and to determine the
desired composition of the coating, which provides a
positive effect. We have made tests on steel 45 with
a surface-modified layer TiNiZr under dry friction
conditions, during which there is a significant
increase in temperature, we have confirmed the
effect of improving the wear resistance
The article contains a block diagram of the mechanical
activation process of multicomponent shape memory
materials, taking into account the variety of
influencing factors. We have proposed to evaluate the
reactivity of the sprayed material using the energy
criterion (energy intensity), determined by the
additivity concept as an energy amount of the raw
material and energy accumulated during mechanical
activation. Power consumption of the raw material
depends on the chemical and phase composition and is
determined based on the similarity between the
melting energy, plastic deformation and fracture on the
thermodynamic characteristics and diagrams of the
systems. The energy stored in the MA is determined
on the basis of X-ray structural analysis. We have
demonstrated that with increasing of grinding
precision there is growth in the number of active
centers, which enables nanostructurization of surface
layers in high-velocity oxygen-fuel spraying (HVOF).
According to the study, we have developed practical
recommendations for effective implementation of
mechanical activation of the shape memory material