№ 123(9), November, 2016
Public date: 30.11.2016
Archive of journal: Articles count 141, 382 kb

PHYSICAL AND CHEMICAL PROPERTIES AND FRACTIONAL COMPOSITION OF THE STAVROPOL OIL
DescriptionPhysical and chemical characteristics of the Stavropol oil are provided. The found value of density of 853,6 kg/m3 is low and shows that oil mainly contains light paraffin hydrocarbons. Distillation of test of oil is carried out on the device of rectification of ARN2 oil to laboratories of the Tuapse oil refinery. On the basis of experimental data, the curve of oil ITK is constructed. The chromotographic analysis determined a mass fraction of C1C6 hydrocarbons in a model of test of oil. The conclusion is drawn that according to GOST 313782009 regulations the sample of oil can be carried depending on a mass fraction of sulfur to the 2nd class ("sulphurous"); on density – to the 2nd type ("averages"); on content of chloride salts, waters, mechanical impurity – to the 1st group; on a mass fraction of hydrogen sulfide, marked  and etilmerkaptan in the amount – to the 1st type. The sample of oil is characterized by the low temperature of hardening (minus 15 °C)

Description
Our research aims at providing new effective control methods for scientific and technical expertise to organizations and foundations that fund research projects on a competitive basis. These methods should provide analytical decision support for group decision making in a distributed environment. In this work, we consider an integral model for knowledge representation – a sociosemantic knowledge network that combines social links and a semantic description of knowledge into a mathematically formalized graph theoretic structure. In terms of actornetwork theory, we consider a multimodal network with actors on one of the levels and artefacts (i.e. contexts that express network links) on the other level. In order to represent knowledge domain based on a graph and hypergraph paradigm and fuzzy sets theory, we provide a sufficiently complete set of elements and relations (either trustworthy or partially trustworthy) both between multitype elements and their heterogeneous groups. The formal representation allows applying the model to solve numerous practical tasks such as expert finding, formation of expert groups, expertise refinement, reduction of subjectivity, analysis of an expertise process, analysis of processes within expert groups. Research methodology: social network analysis (SNA), theory of graphs and hypergraphs, fuzzy calculus and fuzzy logic

TECHNIQUE OF CHOOSING COMPETITIVE STABLE BEHAVIOUR STRATEGY FOR AN ECONOMIC ENTITIES
DescriptionThe article gives the analysis of the questions that provide economic entities stable functioning in extreme competitive interactions. The task of choosing competitive stable behaviour strategy of the economic entity on the basis of efficient use of a resource is defined in maximine terms. To solve the problem it is suggested to use the means of a multistage nonzero attrition game and a negativesum “gain”. The ways to overcome major difficulties of a numerical solution of the formulated extreme problem in connection with its dimension and the kind of an optimizable function that might be discontinuous, nondifferentiable and multiextremal are found out. Due to its discrete behaviour a criterial function is given in terms of Taylor approximation. Derivatives in the direction are calculated to find the pair of mixed strategies that is the solution of the considered game. On the basis of the suggested optimal solving algorithm by means of successive approximation maximine value of the efficiency criterion of the economic entity functioning and optimal distributions of the strategies application probabilities that provide its stable (balanced) “survival” are evaluated. The application of competitive stable behaviour strategies based on maximum efficient use of resources allows economic entities to remain viable and provides balanced competitive environment in regional sectors of economy

ABOUT THE MOTION OF THE VIBROLIQUEFIED SEPARATED LAYER OF GRAIN ON THE FLAT SIEVE OF FINITE WIDTH
DescriptionThe aim of the research is analytical determination of the middle speed of the corn seeds on the flat vibrating sieve of finite width. The object of the study is the process of sorting of seeds of corn on the flat vibrating sieve. The mathematical modeling of the motion of the separated layer of the cereal mixture on the sieve is conditioned by the necessity of intensification of division of graingrowing materials on a flat sieve. Despite the significant progress in the development of mathematical models of the motion of a mixture on vibrated sieve, their further refinement remains an actual task. In particular, in calculation practice, theory in which the width of the flat sieve is considered infinite is used, i.e. the impact on the process of the moving frame of the sieve bed is not taken into account. In connection with absence of estimations of the error brought in by this assumption, the necessity to develop a theory of the movement of the mixture on a sieve of the finite width appeared. For the analysis, the following assumptions were accepted: first, the corn seeds were considered as balls of different diameter, second – the layer of grain on a sieve was considered as heterogeneous viscid liquid. Based on undertaken study it is set that most rational for the achievement of the put aim is application of method of BubnovGalerkin. As a result of undertaken research analytical dependences are received for the calculation of flowrate of grain mixture on the vibrational sieve of the final width taking into account separation of the mixture into factions

SIMULATION OF QUANTUM COMPUTING USING HARDWARE CORES
DescriptionThis article discusses the principles of quantum computing simulation using hardware approach. We describe a general mathematical model of a quantum computer; we show the method of mathematical modeling of quantum computation with optimization and a scheme of a hardware processing core in a quantum computing accelerator. The article gives a method of assessment of increasing productivity in the simulation of quantum computations using computing hardware core. The problems associated with the parallelization of computations on a hardware accelerator, simulating quantum computing were analyzed. The work lists the results of comparison of software and hardware simulation, as well as the dependence of the temporal evaluation of the number of qubits and parallel ALU in the computerhardware accelerator

FINDING AND RANKING KNOWLEDGE ON THE SEMANTIC WEB
DescriptionThe basis of Semantic Web technology is the possibility of joint construction of ontology and the formation of the dictionary without centralized control. All the information and the knowledge encoded in the ontology as semantic webterms and the semantic webdocuments. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few interdocument links like rdfs:seeAlso and owl:imports. In order to solve this issue, this paper proposes a novel Semantic Web navigation model providing additional navigation paths through Swoogle’s search services such as the Ontology Dictionary. Using this model, we have developed algorithms for ranking of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. The article focuses on the ranking at the document level, based on a rational search model, which emits the agent's behavior when navigating at the document level, and ranking on level terms, the value of which is determined by the number of their references in all documents

Description
One of the key areas of interdisciplinary research is to ensure public safety. In order to solve a number of problems within this area we can effectively use information technology and, in particular, an automated pattern recognition technology and identification of objects on digital images. There are addition problems in objects identifying process besides eliminating the influence of ambient light, angle, items of clothing and headgear. To ensure the applicability of the recognition approach to public security issues it must meet requirements of the high processing speed, the replenishment capabilities onthefly list of known images, and the low computational complexity of algorithms. The article deals with the main approaches to the recognition and identification of objects on digital images based on statistical approaches, as well as neural network models. We have allocate their basic features and principles, provided a brief description of each method. Consideration has been made in terms of the application for the problems of public safety, in which there is importance of the speed of the identification of the object, the ability of quickly learning for the system to accept new images and simultaneously process a plurality of input images. The analysis of the existing approaches has shown that none of them satisfy at least one or several needs, which are defined by domain problems of public safety

Description
The article shows the influence of pretreatment with a solution of sodium chloride and a solution of succinic acid in various concentrations to clean the basketsof inflorescences of sunflower from the ballast towards the pectin substances. The application of these solutions helps to reduce protein, coloring and aromatic substances contained in basketsinflorescences of sunflower, as well as easing the connection of calcium ions with protopectin in inflorescences of sunflower, in the future, cleaned basketsblossoms of the sunflower are used as raw material for producing highquality pectin extract

MODERN METHODS AND FACILITIES OF DECLINE OF TOXIC LEVEL OF WORKING GASES OF DIESEL ENGINES
DescriptionThe problem of environmental protection from toxic contamination, i.e. toxic products contained in exhaust gases, is one of the most pressing in the modern world. Currently, internal combustion engines and vehicles of transport and technological machines rank first in power supply in the global energy balance. The total amount of pollutants released into the atmosphere by tankautomotive equipment exceeds more than three times the emissions released by industrial companies. Besides the vast majority of tracked and wheeled vehicles are equipped with diesel engines, which excel gasoline engines in harmful substances released together with exhaust gases. Therefore the problem of emission control becomes more and more urgent. The aim of this study is the analysis of modern means and methods of reducing the toxicity of exhaust gases released by diesel engines. The existing methods of emission control can be divided into four groups: improving the design of the internal combustion engine; the accounting of operational factors affecting the toxicity of exhaust gases; the use of unconventional fuels; the exhaust gases cleaning in the exhaust pipe. Each method has several major ways to reduce the emission of toxic substances, which are often mutually complementary. We have cited the research date of influencing each of the methods on the emissions of toxic substances in exhaust gases. We have found that reducing the emission of toxic substances in compliance with Euro6 requirements can only be obtained by the simultaneous use of several methods of reducing emissions. We have proved the effectiveness and economic feasibility of using combined neutralizers to clean exhaust gases

Description
In recent decades, Russia has increased the demand for high oleic sunflower oil and, consequently, for the raw material from which it is derived – high oleic sunflower seeds. Currently existing methods of control of mass fraction of oleic acid in the seed oil of sunflower, have significant drawbacks, due to which sharply raises the question of the development of the Express methods of control of mass fraction of oleic acid. The study presents the results of determining the mass fraction of oleic acid in the oil of sunflower seeds, obtained by known methods (GC and ri), and developed a method based on NMR. The developed method of determining the mass fraction of oleic acid in sunflower seed oil has a number of advantages compared with the known: is not destructive (does not require the extraction of oil from seeds), does not require special sample preparation excludes the use of toxic chemicals, the analysis duration is 5 minutes, ensuring high representativeness of the sample, and the simplicity and automation of the analysis process reduces the requirements for qualifications of laboratory personnel. The developed method of determining the mass fraction of oleic acid in the oil of sunflower seeds can be carried out simultaneously with the determination of oil and moisture content of seeds on commercially available analyzers, but I hope it 1006М, which is currently applied at more than 250 companies of oil and fat industry