№ 117(3), March, 2016
Public date: 31.03.2016
Archive of journal: Articles count 89, 225 kb
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Description
Conditions in which the work of acoustic magnetic device proceeds are complicated because of the number of interconnections. Solving problems under such conditions analytically is difficult because of many variables and complexity of some dependencies. The article describes the conditions in which the work of acoustic magnetic device, designed for nonchemical treatment of hydroponic solution, takes place. The criteria, establishing the initial state of the chains, containing mutual inductance, are analyzed. The work establishes the criteria relating the physical parameters of the environment with the output parameters of the device. The similarity of conditions of heat transfer on the surface of the device is provided, and the relation of the scale of temperature and power lost when heating the ferrite and winding machine is determined. The criterion of the heat transfer process is defined. The criterion, determining the relation of the environment temperature to the thermal mode of the acoustic magnetic device, is defined. The criterion of the conditions at the boundaries of the system and cavitating liquid is determined. It is found, that the cavitation area appears in the technological volume of liquid at the work of acoustic magnetic device. The criterial equation for geometric parameters of different types and constructions of the acoustic magnetic device is defined. In accordance with the task based on the third theorem of similarity, the group of criteria that provides the similarity of the model to the proposed original by all existing indicators, is selected
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Description
The article analyzes the ways of ensuring a stable quality of vegetable raw materials in the process of storage and use of biopreparations patented in Russia and abroad. The search was conducted in the period from 1995 to 2015 on the databases of the patent agencies of the Russian Federation, the United States, Japan and the European Patent Organization. We have systematized the patented methods, the implementation of which can increase the shelf life of vegetable raw materials. The study led to the conclusion of the usefulness of developing innovative ways of ensuring a stable quality of vegetable raw materials in the process of storage using biopreparations
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METHODS OF CHOOSING DIAGNOSED VEHICLE PARAMETERS IN AGRICULTURE
DescriptionThe article presents an analysis of the existing approach to automobiles technical maintenance in agriculture. We have pointed out that in modern conditions it is impossible to forecast the automobiles maintenance operation frequency and as a result its improvement as well. It is obvious that one cannot achieve the considerable increase of maintenance operation efficiency by separate means and there exist the necessity to treat it as a system and use the up-to-date methods to investigate and improve complicated systems. We have made a conclusion that the increase of maintenance operation efficiency is not possible without some rational strategy of maintenance operation and repair. We have shown that the program of maintenance operation and repair being an integral part of automobiles technical maintenance has considerable effect on maintenance and repair quality. As a result, there is some necessity of the developed system of parameters diagnosing and control in technical maintenance and repair. We have shown that to get sufficient diagnose information one needs selection of the controlled parameters which give maximum information about the object technical status taking into account possible characteristics of its operational faults. We have discovered that in order to solve the task it is necessary to have the object’s information pattern, calculation of possible characteristics of the controlled object being in good or bad order due to some parts fault, evaluation of information brought by every parameter and determining parameters to be diagnosed. We have proposed to evaluate the parameters’ information value with the help of information entropy as uncertainty measure that is one of the main concepts of the information theory. Because of solving the task, we have got the aggregate of the controlled automobile parameters orderable according to the amount of information
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HOW TO SOLVE THE TASK OF CLASSIFICATION OF TYPES OF RIFLE AMMUNITION USING THE METHOD OF ASCANALYSIS
DescriptionIn 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
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Description
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
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FINDING FUNCTIONS OF ENERGY AND ACCUMULATION WIND PERIODS FOR THE SPECIFIED SPEED
DescriptionThe 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
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TECHNICAL AND ECONOMIC PERFORMANCE OF VM32 MACHINE MULTI-COMPLEX
DescriptionThe 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
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MATHEMATICAL MODEL AND FIELD RESEARCH OF FUEL WOOD NATURAL DRYING IN BUNCHES IN THE CUTTING AREA
DescriptionThe 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
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OPTIMIZATION OF WELL PLACEMENT IN WATERFLOOD PROJECT IN "X" FIELD NIGER DELTA, NIGERIA
DescriptionWater 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
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Description
Due to the wide spread of winter barley varieties with different Phytopathologic characteristics, a serious threat to the crop is dwarf rust caused by a pathogenic fungi of the Puccinia. The article presents the results of phytosanitary studies conducted in different agroclimatic zones of the North Caucasus region for the period from 2013 to 2015. Electronic maps of levels of development and distribution of dwarf rust are based on phytosanitary inspection. On the experimental field called «Kuban» as well as rust nursery of VNIIBZR we have performed an immunological evaluation of the sustainability of winter barley accessions to the pathogen of the dwarf rust on natural and artificial infectious backgrounds in the period from 2013 to 2015. The article reflects the objective characteristics of varieties and lines of winter barley with a relative stability to the North Caucasian population Puccinia hordei. The most promising varieties and lines of winter barley of the KubGAU breeding were selected during operation. These varieties and lines are highly resistant to rust and dwarf, they also have other valuable features. The article presents information on the best yield varieties and lines of winter barley as well as on gross yield and sowing area