Kuban State Technological University
Author list of organization
List of articles written by the authors of the organization
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Description
The article presents the results of the studies necessary to conduct a comprehensive assessment of the status of occupational safety and make recommendations for keeping it in the given parameters, at machine-building plants, staffed by cut-off machine tools and auxiliary equipment for their operation. The necessity of the development of the structure of the OSH management system. We have presented a device with which you can carry out a qualitative assessment of the state of labor protection at the enterprises of mechanical engineering and the procedure for applying OSH audit system, which allows to identify the weakest points in the system of OSH management, based on the results of which form the management decisions to maintain it in the given parameters
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SYSTEMATIC APPROACH TO THE ASSESSMENT OF HOTEL MANAGEMENT STAFF COMPETENCE
DescriptionTo deploy fully the potential of personnel competence is the key advantage of modern organizations in all businesses of the country. This is especially critical for hotel business because producing and consuming of this service is the inseparable process. The maximum deployment of potential of an employee competence can be the key competitive advantage for a hotel. To satisfy business needs we should be aware of skills and competences an employee should possess. This paper suggests the application of the Hungarian method to assess the personnel competence of an operating hotel. We also want to show the applicability and utility of this method in solving real problem of evaluating the personnel competence. To solve this problem we suggest using pairwise comparison to identify the most important sample competence, which we use as the basis for personnel competence matrix. Thus, hoteliers will be able to make their own objective assessment of the personnel competence level of 5 divisions of the hotel
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Description
The work is done in a scientific and practical ways to minimize power losses in the transmission of electricity in the interregional distribution networks from the sources to the consumer by the use of tasks, ensuring the gradual improvement in the support program, not only from the standpoint of the efficiency of reduction of transported power loss, but also due to a significant decrease the complexity of the calculations. The resulting shortage of electricity power associated with its transfer to the electricity networks, has demanded the need to find possible ways of reducing the value of electricity losses during transportation, both by improving and by optimizing distribution net-works schemes. Consolidation into a single set of electrical equipment, called the power cluster is connected to the sources of power and energy consumption, make better use of new principles of control technology and the transmission of electricity, on the basis of an automated monitoring system, ensuring the redistribution of energy flows and optimize them. The process of electric power transmission and reduction in electric power loss can be considered on the basis of linear programming problems, and their modification in the form of a transportation problem, and as a result, the transport matrix. On this basis, manipulating the data table, we can find acceptable solutions, well and then determine the best of them. As examples, this work has carried out the study on the basis of the three methods - "northwest corner", the method of minimum unit cost of electricity transport, as well as the method of the potential. The use of these three methods yielded acceptable solutions, to identify the most appropriate for the number of steps carried out at the decision, to reveal that the winner is the potential cost method
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Description
A computing experiment with software implementation of computer vision system (CVS) algorithms has been performed for identification and detailed condition assessment of objects of natural origin and their mass number, with high variability within classes and an affinity of the classes. An accuracy of the operating mode was assessed. The article also shows possibilities of decreasing of video frame processing in CVS operating mode through an optimization of sequential computation and organization of parallel computation
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METHOD OF POLYMORPHIC VIRUSES DETECTION BASED ON ARTIFICIAL IMMUNE SYSTEM AND GENETIC ALGORITHMS
DescriptionThis article is dedicated to the study of the fundamental properties and components of the immune system such as B lymphocytes, the Tlymphocytes, immune system storage, primary and secondary immune response, immunological training detectors, which will be the basis of the obtained as a result of detection methods of polymorphic viruses using artificial immune systems. Polymorphism of computer viruses is the formation of a malicious program code directly during execution. Thus, it is impossible to create a unique signature corresponding to these polymorphic viruses. A similar classification problem is solved by the immune system of vertebrates, stared again met with the virus, it "remembers" him, and the next time provides effective secondary immune response. These properties of the immune system served as a prerequisite for the use of immune approaches and algorithms for solving the problems of detection of malicious code. The article identified and described their main features, proposed the idea of their implementation and software, system interactions in the immune system revealed such important features, the implementation of which will be effective in solving the problem of detection of malicious code and software. Also, for a more productive system of education is considered a class of genetic, evolutionary algorithms, described by their immediate implementation of site-specific decentralized artificial immune system, built a system of interaction of genetic and immunological algorithms.
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HYBRID NEURO-EXPERT SYSTEM FOR IDENTIFICATION OF SIGNIFICANT EVENTS TO SCHEDULE TIME SERIES
DescriptionThis article discloses the use of hybrid neural / expertnetwork systems to the problem of finding the significant events of these studies market behavior. The neural network is trained by back propagation, and is used to highlight trends over time. The expert system is used to determine the degree of significance of data
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PATTERN RECOGNITION IN THE CHART CONTROL BASED ON NEURAL NETWORKS WITH REINFORCEMENTS
DescriptionThis article discloses the use of neural networks to recognize patterns in control charts. To recognize unnatural situation under control is possible by analyzing the chart pattern. Neural networks with reinforcements are the third generation of neural networks. In this study they are available for recognition in the management chart patterns. The article also discusses options for improvement of the learning algorithm in the form of additional rules for the synoptic pauses, time constants and switching threshold neurons
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PARTICLE SIZE DISTRIBUTION OF ASH OF NOVOCHERKASSK SDPP
DescriptionThe flowsheet purification of exhaust gases in the Novocherkassk SDPP after the electrostatic precipitator on I-th stage of purification set group cyclone, on the II-nd stage of purification - baghouse. To determine the particle size distribution of fly ash, we selected ash from the transport network to the group cyclone, and the in a group cyclone, and in a baghouse. With the help of the microscope "Biomed- 3" we produced pictures of ash particles with different magnification. Granulometric composition of three selected ash samples were determined according to the mass content of particles of different grain size, expressed in percent relative to the weight of dry ash sample taken for analysis. For size fractions from 10 mm to 0.5 mm sieve method is applied without rinsing with water, for size fractions less than 0.5 mm sieve method is applied with water washing. The particle size of the ash mixture, taken up before the cyclone,
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Description
We have presented a table of analogues of mechanical and electrical quantities of a thermal power plant, which shows the relation between the useful power of the engine and mechanical efficiency, as well as the relationship between engine parameters and regime of its operation; we have also developed an electro-mechanical analogy, which helped to get the expressions linking the useful engine power with shaft speed, engine performance, coefficient of mechanical resistance and mechanical efficiency with speed, coefficient of drag and engine performance. Similar expressions were obtained for the relations of these variables with other sets of parameters. The article also shows corresponding graphs. The expressions for the maximum net power and corresponding speed of rotation was found. Thus, the efficiency isЅ. It is shown that in larger (compared with the extreme) speed, the mode is less efficient than with the smaller, for the same useful power. A method is presented to measure the important characteristics of the finished engine – motor operation and its rotational drag coefficient used in the resulting expressions
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DYNAMIC OPTIMIZATION OF GRAIN DRYING PROCESSES USING A CONTINUOUS MANAGEMENT SYSTEM
DescriptionThe article considers the dynamic optimization of the drying process of grain by proper selection of the required parameters. The calculations of the optimal parameters of the control device