This scientific article covers the relevant aspects of an investigator – criminalist of Investigatory Committee of the Russian Federation, both procedural and organizationally – tactical and managerial direction in the field of criminal justice. The author of the scientific article analyzes the norms of the Criminal procedure codex of the Russian Federation, departmental normative legal acts of the General Prosecutor and the Investigative Committee of the Russian Federation and expresses his own judgment; offers measures on improvement of position of some norms of the Criminal procedure codex of the Russian Federation on the studied issues
Justification of tax benefits, development of economic
relations, globalization of accounting processes and
improvement of administrative activity of public
authorities require the appropriate development of
accounting rules, effective rapid exchange of
credentials and their consistency. The authors have
proposed and justified the use of a unified automated
information database accounting system management
and control as a single accounting element space,
which allows providing solutions to the above issues.
The study introduced the concept of uniform
accounting space and defined its objectives and
principles of functioning. It is this form of organization
of accounting and economic procedures of the process
of functioning of the economy able to ensure the
development of accounting theory in the areas of
modern trends. The study highlighted areas that are
implemented now, which fully meet the proposals of
the authors. We have noted innovations related to the
submission of the tax Declaration under the tax to the
added cost and additional data by telecommunication
in connection with the use of information security
tools. We have also noted some rules for the provision
of accounting information to interested users. The
performance of individual business Executive is
reflected in the proposed information system would
appear in the form of user interface that would
simplify requirements for organization and
recordkeeping. The basic drawbacks and complexity of
implementation of the activities proposed methods of
their elimination or avoidance
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)
Automated system-cognitive analysis (ASC-analysis) for images provides automatic identification of specific characteristics of the given images from the color of the pixels and image edges, the synthesis of generalized images of pictures (classes), identifying the most and the least specific image features for the class, determining values of features of images for their differentiation, deletion low-value characteristics (abstraction) from the model, problem solving for quantitative comparison of specific images with generalized images of classes and generalized images of the classes with each other, and objectives of the study of the simulated subject area by studying its model. The work discusses the new features of the ASC-analysis and its implementing intellectual system called "Eidos" for identifying features of images using their spectral analysis, formation of the generalized spectra of classes, the task of comparison of images of specific objects to classes and classes with each other in their spectra. For the first time, it became possible to form the generalized spectra of classes with weights of the colors according to their degree of specificity and unspecific features for classes, and it is not the intensity of the color in the spectrum, but the amount of information in the color on the linking the object with that color to the class. In fact, there is a question of generalization of spectral analysis by using intelligent cognitive technologies and information theory in the spectral analysis. First, everyone is talking about the fact that spectral lines contain information about which element or substance is included in the object, but no one bothered to count what exactly the amount of information is and then use it to determine the composition of the object pattern recognition methods based on the use of this information. Second, spectral analysis is traditionally used to determine the elemental and molecular composition of the object; we propose to use it not only for that, but also to identify any images. A numerical example has been given
Based on the analysis of domestic and foreign scientific and patent literature, possible options to reduce weight of electro technical steel in magnetic circuits of electrical machines are explored. A search for the best options for the manufacture of magnetic induction motors stators technology aimed at improving the utilization of electrical steel and improving the energy performance of electric machines is carried out. All the variants are described and illustrated in detail in the drawings. It is pointed out the advantages and disadvantages of each method of manufacturing magnetic wires and the reasons why certain suggestions of technology of manufacturing magnetic circuits have not been implemented in mass production. The main indicators characterizing the manufacturability of constructive decisions are recommended. Economic indicators have been put in the basis of the choice of the optimal variant while designing the electrical machine. An optimal variant should be considered the variant in which all the technical requirements at lowest total cost are met. The latter should be understood not only the cost of materials and machine manufacturers, but also the cost of operation. The dependence of the energy performance of motors with modular designs of stators from the manufacturing technology is pointed out. The existing technology of the most mass electric motors series production, the following disadvantages are typical: low coefficient of utilization of electro technical steel; high specific material capacity, the cost of technology and labor intensity of production; low labour productivity and level of automation of technological process. Due to the fact that the possibilities of increasing of the machines’ specific weight characteristics due to the usage of new magnetic and dielectric materials are exhausted, it is advisable to change the technology of electric motors production, moving away from the traditional design
The article deals with urgent questions concerning activities of woodworking industries, which face tough economic situation. Nevertheless, these enterprises reveal a definite growth of output in some kinds of products, such as fuel pellets, window units, special timber assortments, etc. The problems about possible risks connected with equipment handling were identified, which has physical and intellectual wear, as most of it has been operating since 1980. On the basis of accomplished investigations of normative and technical sources the documents were specified, which establish safety regulations for operating equipment and requirements for risk assessment techniques. The necessity of their improvement is also determined. Taking into consideration peculiarities of management of woodworking production process, the analysis was carried out in order to estimate the factors, which influence the quality of mechanical treatment by the method of 5M. Following the observations and processing of statistical data it was established that equipment and personnel show the greatest impact on the quality of half-finished and final products. Risks evaluation method for woodworking industries is suggested with due account for equipment safety parameters, which includes determination of consequences, risk probability, risk level on scale factored “high”, “medium” and “low”. Much attention is paid to the items composed: rank matrix of two-factor model, with calculations of numerical values of risks, as product probability of occurrence and severity of consequences, and risk log. Three zones were appointed with the following risk levels: the first zone with weighting factor not less than 6, the second zone: 8-16, the third: 20-25. In course of investigation, it was detected that the highest risk factor, connected with equipment operation, is probability of mechanical injuries of hands and most possible – getting cuts. The flow chart of risks management during the woodworking production process is offered in accordance with all Union State Standard regulations R ISO 9001-2015 and GOST R ISO/MAC 31010-2011. The developed algorithm provides accomplishing performance of work on risks management in more available and short form with presentation of processing operations, actual doers, kinds of required normative documents and papers worked out within the enterprise
Traditionally, control decisions are made by solving repeatedly the forecasting problem for different values of control factors and choosing a combination of them that ensures the transfer of the control object to the target state. However, real control objects are affected by hundreds or thousands of control factors, each of which can have dozens of values. A complete search of all possible combinations of values of control factors leads to the need to solve the problem of forecasting tens or hundreds of thousands or even millions of times to make a single decision, and this is completely unacceptable in practice. Therefore, we need a decision-making method that does not require significant computing resources. Thus, there is a contradiction between the actual and the desired, a contradiction between them, which is the problem to be solved in the work. In this work, we propose a developed algorithm for decision-making by solving the inverse forecasting problem once (automated SWOT analysis), using the results of cluster-constructive analysis of the target states of the control object and the values of factors and a single solution of the forecasting problem. This determines the relevance of the topic. The purpose of the work is to solve the problem. By decomposing the goal, we have formulated the following tasks, which are the stages of achieving the goal: cognitive-target structuring of the subject area; formalization of the subject area (development of classification and descriptive scales and gradations and formation of a training sample); synthesis, verification and increasing the reliability of the model of the control object; forecasting, decision-making and research of the control object by studying its model. The study uses the automated system-cognitive analysis and its software tools (the intelligent system called "Eidos") as a method for solving the set tasks. As a result of the work, we propose a developed decision-making algorithm, which is applicable in intelligent control systems. The main conclusion of the work is that the proposed approach has successfully solved the problem
Were summed up of perennial introductory tests of the
representatives of the family Betulaceae S.F. Gray in
the Botanical Garden SFedU. The 33 species of this
family have been studied for a total. Evaluation of
winter hardiness of the family members showed that
the absolute resistance to the full range of factors
winter have representatives genus Betula, also Alnus
incana (L.) Moench and Corylus colurna L. Species of
the genus Betula and Corylus may be attributed to the
plants having a resistance to drought. The highly
drought-resistant species – Carpinus betulus L., C.
turczaninowii Hance, Alnus incana (L.) Moench and
Ostrya carpinifolia Scop. Less than drought-resistant –
Alnus glutinosa (L.) Gaertn. Most of the tested species
should be attributed to hemixerophytes. The high
degree of defeat by fungal diseases of the species
genera Alnus, Betula and Carpinus makes them
unsuitable for the regional culture. The causative agent
of the disease is a fungus Chondrostereum purpureum
(Pers.) Pouzar. Based on the totality ecological and
biological properties only species of the genus Corylus
remain promising for the culture. For introductory test
it is advisable to attract drought-tolerant species of the
family Betulaceae such as: Alnus barbata C.A. Mey.,
A. rubra Bong., A. rugosa (Du Roi) Spreng., Carpinus
cordata Blume, C. caucasica Grossh., C. caroliniana
Walter, C. orientalis Miller., C. tschonoskii Maxim.,
Betula insignis Franch., B. lanata (Regel) V.N. Vassil.,
B. luminifera H.J.P. Winkl., B. nikoensis Koidz., B.
forrestii Hand.-Mazz., B. utilis D. Don., Ostrya
virginiana K.Koch
The article presents results of the evaluation of the
physiological aspects of growth and fruiting of peach
on clonal rootstock VVA-1, depending on the layout
of the trees. It was found that when forming a spindleshaped
crown, the most productive planting scheme is
5,0х1,5 m, at which the most optimized physiological
processes were proved
The modern cattle breeding in Russia is
characterized by dynamic development, development
of intensive technologies, increase in production, but
at the same time, there are problems of increase in
production of milk due to increase of dairy efficiency
of cows at the most effective manifestation of the
available level of their genetic potential. For the
solution of this problem, i.e. for genetic
improvement of dairy cattle, creation of new breeds,
intra pedigree or zone types, more than 100 thousand
of bulls with high genetics, and also 430 thousand
heifers were delivered to Russia for the last 10 years.
In this regard, the purpose of our researches was to
study the level of genetic potential of dairy cows in
breeding farms of "Nasha Rodina" of Gulkevichsky
region, Vasyurinsky milk farm of Dinsky region, the
Firm «Agrocomplex» of Vyselkovskiy region
(Gazyrskoye enterprise), "Urozhay" of Kanevskoy
region from 2000 to 2014, by using bulls of
Golshtinsky breed. Researches have shown that in
farms of the Krasnodar region producers with the
high level of potential from 10791,0 kg to 12045 kg
on milk were yield used on a breeding uterine
livestock; from 4,22 to 4,40% of fat; from 3,32 to
3,49% of protein in milk. As a result the level of
potential of daughters of bulls and cows in herds of
farms was from 7774 to 9144 kg of milk; from 3,89
to 4,05% of fat; from 3,26 to 3,67% of protein in
milk. However, genetic potential of new generation
of animals is shown not completely. It is influenced
by partial compliance of the created technological
conditions of biology of animals, and indicators of
breeding value of producers, with their prepatent
indicators. Calculations of breeding value indexes of
bulls – fathers of cows in the herd of "Urozhay" have
shown that each bull has its breeding value, an
ability to transfer the qualities to posterity. Bulls of
Golshtinsky breed of red – motley color ( Pan 2037
and Tulup 78160689), by results of comparison of
milk yields of daughters, mothers and
contemporaries, had negative prepatent indexes of
milk yield and milk protein content (according to
F.F. Eysper and V. Sidorova). The data confirm the
need of carrying out an obligatory index assessment
of bulls before their use on the farm in order to avoid receiving descendants with low dairy efficiency