HOW TO SOLVE THE TASK OF CLASSIFICATION OF TYPES OF RIFLE AMMUNITION USING THE METHOD OF ASCANALYSIS
In forensics there is an urgent need to determine the
type of rifle (automatic, rifle, large caliber pistol) depending
on its used ammunition found at the scene of
the use of weapons. We offer a solution to this problem
with the use of new innovative method of artificial
intelligence: automated system-cognitive analysis
(ASC-analysis) and its program toolkitwhich is a universal
cognitive analytical system called "Eidos". In
the "Eidos" system we have implemented the software
interface that allows posting of images and identifying
their outer contours. By multivariable typing, the system
creates a systemic-cognitive model, the use of
which, if the model is sufficiently accurate, may be
helpful in solving problems of system identification,
prediction, classification, decision support and research
of the modeled object by studying its model.
For this task the following stages: 1) input images of
ammunitions into the "Eidos" system and creation of
their mathematical models; 2) the synthesis and verification
of the models of generalized images of ammunition
for types of weapons based on the contour images
of specific munitions (multiparameter typing); 3) improving
the quality of the model by separating classes
for typical and atypical parts; 4) quantification of the
similarities-the differences between specific types of
munitions with generic images of different types of
ammunition of the weapon (system identification); 5)
quantification of the similarity-differences between
types of ammunition, i.e. cluster-constructive analysis
of generalized images of ammunition. A numerical example is given. We also possess a successful experience
of solving similar problems in other subject areas
The problem of drug addiction in the Russian
Federation poses a threat to the national security. For
effective decision-making in the field of drug
prevention and fight against drugs, it is necessary to
assess the drug situation, the state of law enforcement
practices and socio-economic development of the
observed areas. The article describes the method of
complex statistical evaluation of the level of drug
addiction in the Russian Federation. Based on a
systemic approach author distinguishes stages of
multivariate statistical analysis of a priori indicators
characterizing the state of socio-economic,
demographic, biomedical and law enforcement
situation in certain areas of the federal districts of the
Russian Federation. The classification of signs into
factorial indicators groups is proposed. Estimations of
relationships studied statistics and draw conclusions
about the impact on the drug situation of various
factors, including the average for the group, are
presented. Then this paper describes the application of
the factor analysis to construct regression models to
predict the drug situation in the Russian Federation
according to the status of independent indicators and
trends in the integrated development of regions. A
method for evaluating the level of development of the
drug situation in the Russian Federation because of
automatic classification algorithms is proposed and the
principle of its application is proven. The results of the
classification of the federal districts of the Russian
Federation on the level of the drug situation are given
The article describes a method for obtaining the functions
of energy and accumulation wind periods, using
the program Microsoft Office Excel. We have showed
the algorithm of the programs that had been developed
to reduce the processing time for large quantities of
data. Obtained functions are recommended for determining
the optimal parameters of autonomous windpower
stations with accumulated reserve
The article describes problems of economic
growth of the Russian Federation, development
of high-tech knowledge-intensive
manufacturing industries on the basis of a
fundamentally new technological order, creation
and development of import-substituting
production of engineering resources that relate
to dual-use technology and are in the most
demand by strategic organizations of machinetool,
machine-building and military-industrial
complexes (aircraft engineering, rocket and
space engineering, shipbuilding and power
engineering). We proposed some measures to
improve the accuracy in the manufacture of
complex and large-sized parts with weights up
to 100 tons. Precision machining of the
workpiece surface is directly dependent on the
tooling, quality and quantity of the cutting tool
(CT), as during the processing the CT wears and
must be replaced. We have described the
modernization of multi-machine complex and
ways of increasing the accuracy, the change in
the kinematics tool supply to increase the
number of tools used in the processing. We
made calculations of the new chain drive of the
tool supply. The proposed modernization of the
tools will increase the instrument amount that
allows increasing the accuracy of manufacturing
products. We have also made calculations of the
economic effects of the tool supply
modernization
The purpose of this research is to receive mathematical
model of natural drying of the whole trees in bunches
in a cutting area based on experimental data. The field
research of natural drying from March to October 2015
of the whole trees of pine and birch of different
diameter laid definitely in bunches in a cutting area
was conducted for this purpose. The mathematical
model describing change of moisture content in wood
in the course of natural drying in bunches in a cutting
area was as a result developed. The received equation
of regression defines dependence of average humidity
of wood in a bunch from diameter of wood, quantity of
a liquid atmospheric precipitation, relative humidity
and temperature of air, average speed of the movement
of the air blowing in bunch of trees, duration of natural
drying. The developed mathematical model allows
predicting change of moisture content of wood in the
course of natural drying with a margin error less than
5%. Humidity of wood in the course of natural drying
from March to October was on average reduced from
52% to 27%. Besides, in article the technology of
logging of fuel wood on an energy forest is offered.
The technology of stacking of trees in bunches at
logging of the fuel wood which is grown up in forest
plantations is offered. The results of the research can
be used for increase of production efficiency of fuel
wood
Water flooding used in secondary oil recovery to level
up reservoir pressure can be enhanced in order to fit
the reservoir conditions with the aim to optimally
recover oil. One of the important optimization
variables to realize this aim is optimal well placement.
Various methods have been suggested for this
problem. Among these is direct optimization, although
accurate, is difficult due to the number of simulations
required. Optimal placement of up to six injection
wells was studied at the X field in western Niger Delta
of Nigeria. Injection rate and injection time was also
optimized and net present value (NPV) of the flooding
project was used as the objective function. In this case
study, it is shown theoretically and by means of
Eclipse 100 that according to the basic elementary
reservoir characteristics, optimal oil recovery is
strongly dependent on well placement pattern and
injection rate. Simulation results show that good sweep
efficiency can be achieved with a regular pattern with
an optimal well position
The article proposes using the automated system-cognitive analysis (ASC-analysis) and its software tool, which is the system called "Eidos" for synthesis and application of adaptive intelligent measuring systems to measure values of parameters of objects, and for system state identification of complex multivariable nonlinear dynamic systems. The article briefly describes the mathematical method of ASC-analysis, implemented in the software tool – universal cognitive analytical system named "Eidos-X++". The mathematical method of ASC-analysis is based on system theory of information (STI) which was created in the conditions of implementation of program ideas of generalizations of all the concepts of mathematics, in particularly, the information theory based on the set theory, through a total replacement of the concept of “many” with the more general concept of system and detailed tracking of all the consequences of this replacement. Due to the mathematical method, which is the basis of ASC-analysis, this method is nonparametric and allows you to process comparably tens and hundreds of thousands of gradations of factors and future conditions of the control object (class) in incomplete (fragmented), noisy data numeric and non-numeric nature which are measured in different units of measurement. We provide a detailed numerical example of the application of ASC-analysis and the system of "Eidos-X++" as a synthesis of systemic-cognitive model, providing a multiparameter typization of the states of complex systems, and system identification of their states, as well as for making decisions about managing the impact of changing the composition of the control object to get its quality (level of consistency) maximally increased at minimum cost. For a numerical example of a complex system we have selected the team of the company, and its component – employees and applicants (staff). However, it must be noted that this example should be considered even wider, because the ASC-analysis and the "Eidos" system were developed and implemented in a very generalized statement, not dependent on the subject area, and can successfully be applied in other areas
The article analyzes the issues of social and cultural
analysis of texts by methods of mathematical statistics
applied to the field of higher education. It presents the
essence of the socio-cultural paradigm and the
importance of sociocultural factors in research activity
in higher education institutions. The examples of use
of information technologies, based on methods of
mathematical statistics for the analysis of social and
cultural texts were shown. It is concluded that sociocultural
component in education contributes to the
realization of socio-cultural competence, and
application of mathematical and statistical methods in
the analysis of socio-cultural texts helps to obtain
meaningful conclusions due to the possibility of
analyzing large amounts of information and larger
number of factors
The article substantiates the necessity of creation the
experimental equipment for examination of the power
components in the investigated process; a block
diagram of the measuring system was presented. We
have also developed a method of selecting a mounting
location and connection schemes of the sensors, as
well as the approbation of the experimental equipment
is made in the implementation of a trial of full factorial
experiment
We have considered hybrid nontraditional and
renewable sources of energy in terms of optimizing
their work based on the knowledge of technical and
functional peculiarities of each. We used
classification of clusters of nontraditional and
renewable energy of sources, depending on the
proportion of replacing power in energy
consumption and on the type of nontraditional and
renewable energy of sources. We examined a
simulation model of the hybrid cluster using the
structural diagram and performed statement of the
problem by means of the full and multifactor
experiment. We applied the method of analysis of
non-stationary random process disturbing influences