The article presents the algorithm of the program for
calculation of distribution of a stream of the winding
of the stator of a component of the operated asynchronous
cascade electric drive. For the description of the
algorithm we have chosen a two-layer winding on
twenty four grooves. This algorithm is calculated on
receiving a picture of distribution of the stream of the
winding and, respectively, receiving a graphic representation.
The algorithm is constructed on a number of
the principles and types of calculation. On the principle
of the task of the design of the winding, for a possibility
of using this principle for further calculation.
On the procedure of calculation of a picture of distribution
of a magnetic field in a gap of a component of
the operated asynchronous cascade electric drive, according
to operation on his construction. On receiving
the pseudo-animation showing a picture of change of
the field in space at turn of three-phase system of currents
eventually
In Nigeria, belt of bituminous sand stretches to the East
of Ijebu-Ode (Ogun State) in the district of Siluko and
Akotogbo, Okitipupa (Ondo Sate) and Edo State. It
covers a distance of approximately 110 km and lies in
the upper cretaceous sequence of the Abeokuta
formation in the eastern Dahomey Basin. Reserves of
bituminous sand in Nigeria is estimated to be around 30-
40 billion barrels with a possibility to extract 3654 × 106
barrels. From the approximately 30-40 billion barrels of
oil sand, Ogun State has more than 40% in reserve.
However, this huge stock of oil sand in Nigeria is yet to
be exploited. This article provides an assessment of
technological solutions for the design and development
of tar sand fields in Nigeria. Reserves of oil sand in
Nigeria are the biggest in the whole of Africa
This article cites the data about the amount and
productive capacity of oil producing enterprises in the
Russian Federation on the whole, as well as in
Krasnodar region and the Republic of Adygeya. It is
shown, that innovations in the field of waste disposal
and waste recycling left after oil production are the
most effective, as they contribute to the cost reduction
on disposal of waste on landfill and thus, improve
environment considerably. They also provide
additional revenue from the sale of new products,
received after waste recycling. The authors examined
literature data on compositional and chemical analysis
of waste left after cleaning main oil-bearing crops,
processed by oil-producing industry of the Russian
Federation (such as sunflower, rape, soy-beans) . The
analysis of available technologies of their disposal,
such as waste incineration, pyrolysis, worm
composting, landfilling, biothermal composting,
granulationa of waste and the processing of undersow
is submitted to your attention. The analysis of
advantages and disadvantages of all available
technologies was carried out, and it was noticed that
neither of available technologies had become common
use. The most prospective direction for the
development of efficient technology of waste recycling
has been chosen, which includes the use of waste
pressing after their rational preparation and isolation of
uniform and valuable components. It is shown, that the
primary task for the development of such technology is
the study of waste composition of raw materials and
industrial cleaning of sunflower seeds, soy-beans, and
modern sorts of rape and its hybrids
In the article, we present the analysis and improvement
of existing methodologies for assessing the
intelligence factor, taking into account its use of the
Internet on a regular basis. Today, the use of the
Internet in our daily activities and tasks become
practice that is more common. The Internet has
become a popular and most frequently used means of
obtaining information quickly and in large volume.
The authors suggested the presence of the Internet and
its impact on the everyday use of psychological and
intellectual life of the people that can be recorded
because of user IQ scores. It is suggested here also gets
its development in the search for and analysis of
system models, allowing determining the numerical
values of the parameters. Specifically, it is proposed to
use a large variety of statistical data to clarify the
unknown parameters that determine the levels of
human intelligence, taking into account the impact of
the Internet. These statistics include information such
as the number of people with higher education, the
number of Internet users, the degree of the Internet penetration in society, the most typical tasks that use
the Internet users, and others. For the processing and
analysis of the test statistics in the work proposed to
use tools data mining, ie, data mining. We have also
considered the most typical approaches Data mining,
applied in similar research areas. We have analyzed
what specific principles and methods can best
approach to solving the problems of intelligence
assessment indicators. The result of the article was a
number of conclusions, in particular, the feasibility of
applying clustering to analyze data in the field. Also,
in certain cases, we provided the use of Kohonen
neural network in the vector quantization network
format. Methods: analysis of scientific literature and
online sources of information on the current level in
the field of IQ research; modeling; Methods
systematization (tabular calculations and compilation);
Experiment (real human test data). Methodological
bases of research: a systematic approach (considering
IQ in the form of a functional multi-component
dependencies), probabilistic and statistical approach
(provides guidance for constructing mathematical
models linking together IQ and the influence exerted
on it using the Internet, and to assess the reliability of a
computer program ) qualimetric approach (determines
the need multicriterion diagnostic influence of factors
on the level of intelligence)
The article presents the criteria for the effectiveness of
the scientific and pedagogical workers of higher skill
levels for the preparation of scientific and pedagogical
staff. It is known that the preparation of the teaching
staff (PhDs) - one of the most important activities of
higher education institutions; Moreover, when the state
accreditation of higher education institutions
compulsorily taken into account indicators that reflect
the impact of training candidates. Also, of course, that the training of the teaching staff (PhDs) - activities that
require both high levels of research and pedagogical
competence. This means that the results of scientific and
teaching staff higher qualification levels for the
preparation of the scientific staff - both indicators of
research and pedagogical competence; own training of
researchers - an area of "crossing" of scientific and
pedagogical activity. Unfortunately, the increase in the
number of scientific personnel being prepared does not
always mean quality growth. Often trained scientific
personnel (PhD) not only do not approach the level of
competence of its research (the results of research) to
the supervisor, and stopped to engage in scientific
activities after defending his doctoral dissertation (or
engaged at a low level). Therefore, the article authors
consider it expedient to propose indicators that reflect
not only the amount and timeliness of the research
training (PhD thesis defense sometimes occur many
years after graduate school), but also the productivity of
this activity. From the point of view of the authors, the
success of research training only can be considered
productive when prepared by the scientific supervisor
candidates of sciences are highly qualified scientific
personnel, ie conduct high-level research, the results of
which are recognized by the scientific community; the
same is true of the scientific advice (highly qualified
scientific workers - doctors). The practical significance
of the study results - in the possibility of objective
monitoring of research activity of scientific-pedagogical
personnel of higher qualification. Methodological bases
of research: a systematic, competence, sociological, and
metasystem qualimetric approaches. Methods:
modeling, methods of quality control, methods of set
theory, relations and graphs. Normative base of
research: the Federal Law "On Education" (2012), the
federal state educational standards of higher education
(2014, 2015). The work was performed as part of
research projects "Monitoring of the research activities
of educational institutions in the information society"
(â„– 16-03-00382) and "Modern information and
educational environment" (16-36-00048) with the
financial support of the Russian Humanitarian
Foundation from 17.03. 2016.
The purpose of the research is development of models
and methods of diagnostics of methodical competence
of a teacher. According to modern views, methodical
thinking is the key competence of teachers. Modern
experts consider the methodical competence of a
teacher as a personal and professional quality, which is
a fundamentally important factor in the success of the
professional activity of teachers, as well as a
subsystem of its professional competence. This is due
to the fact that in today's world, a high level of
knowledge of teachers of academic subjects and their
possessing of learnt basics of teaching methods can not
fully describe the level of professional competence of
the teacher. The authors have characterized the
functional components of methodical competence of
the teacher, its relationship with other personalprofessional
qualities (first - to the psychological and
educational, research and informational competence),
as well as its levels of formation. Forming a model of
methodical competence of the teacher, the authors
proceeded from the fact that a contemporary teacher
high demands: it must be ready to conduct independent
research, design-learning technologies, forecasting
results of training and education of students. As a
leading component of the methodical competence of
the teacher is his personal experience in
methodological activities and requirements of
methodical competence determined goals and
objectives of methodical activity, the process of the
present study, the formation of patterns of methodical
competence of the teacher preceded the refinement of
existing models methodical activity of scientific and
pedagogical staff of higher education institutions and
secondary vocational education institutions. The
proposed model of methodical competence of the
teacher - the scientific basis of a system of monitoring
of his personal and professional development, and
evaluation criteria and levels of her diagnosis - targets
system of vocational training and re-training of high
school teachers. Innovation policy is a model of
methodical competence of the teacher, and the main
model of the mechanism of its formation - methodical
activity (in close connection with other activities).
Research methods: analysis of scientific and
methodical literature and best practice methodological
activities in educational institutions, modeling,
methods of the theory of sets and relations, methods of
quality control, methods of multivariate analysis
systems. Methodological bases of research: a
systematic, qualimetric, competence and process
approaches. The work was performed as part of
research projects "Monitoring of the research activities
of educational institutions in the information society"
(â„– 16-03-00382) and "Modern information and
educational environment" (16-36-00048) with the
financial support of the Russian Humanitarian
Foundation from 17.03. 2016
The article presents the mathematical models of
technological modes of crushing, drying and
pressing in the production of pellets from wood raw
material with a high degree of rot
The work is scientific and practical in nature, same as
the discussed process of optimization of power losses
in power networks based on the use of the
transportation problem, namely the rules of the
minimum element of the transport matrix, which is a
valid solution. The mechanism of the improvement of
the obtained feasible solutions to the tasks focuses on
using the potential method, assigning each row and
column of the matrix their corresponding potential.
Using a basic variable and manipulating the elements
of the transport matrix according to a specific
algorithm, we implement the construction of a new
support plan. Based on the plan and its acyclic, we
build two cycles and determine the values of the
estimates between direct and indirect transportation costs per unit of output. The resulting algorithm makes
it easy to program all computational operations and
quickly obtain the result of the optimization of power
losses in the design of the electricity network, thereby
reducing the economic and technological costs. As a
result of joint use of transportation problems and
potential method, we could find the optimal solution
based on improved solutions more efficiently, and a
scheme of optimal electric network. As consumers, in
practice, there may be urban and agricultural,
industrial enterprises, regional and district
subordination, including industrial, agricultural and
individual customers
The article considers the tasks of nonparametric dual
control of dynamic objects with discrete-continuous
nature of the process is considered. In this case, the
only value of memory depth of dynamic processes is
known, but the parametric structure of the model is
partially unknown. The nonparametric algorithms of
adaptive dual control for external control loop were
offered. The proposed loop of control is designed for
systems, which include in technological scheme
internal control loop, specifically a standard
controller. In solving this problem, the methods of
nonparametric identification theory, control theory,
the theory of adaptive systems, mathematical
statistics and statistical modeling are used. The
theoretical information of the non-parametric
algorithms of dual adaptive control under conditions
of incomplete information of the process is produced.
The essential difference between the dual control
algorithms from the standard is that the nonparametric
control unit performs two functions:
research and control of the process of active
accumulation of information. The computational
experiments show that the introduction of the
proposed scheme significantly improves the quality
of control, and the existing control system in
operating controls are maintained
The article shows the importance of math description
and grounding the function taking into account the
process of changing the parameter when developing
the methodology of automobile diagnosing. It is
pointed out that after all the prediction error and effort
depend on the choice of approximating function.
The wrong choice of the function can bring to naught
all the efforts to manage safety margin and other parameters
of cars elements. One can find the requirements
to math description and grounding the function
of the parameter change. Based on the analysis of
factors influencing the process of parameters change
and requirements to math description of this process
we have noticed that it is necessary to approximate
the change (increase) of the state variable by the
chance ordered function with increasing realizations.
One can consider the parameter change realization
both strictly and not as a monotone function ranging
from zero to the limit change of the parameter. We
have mentioned that the fore-quoted reasoning with
the account of two groups of factors make possible to
investigate the parameter change at this or that moment
of work as a sum of two random values. We
have made a conclusion that they usually express the
link between the change rate (for instance, detail
wear rate) and the readings of the material properties
and functioning conditions (metal skin hardness, unit
loading on the detail surface, its relative rate of
movement) by the functional determined dependence
got as a result of lab tests or theoretical study. In the
conclusion, one can see that the analysis of the results
of math description of the process of the parameter
change is sufficient enough