Kuban State Technological University
Author list of organization
List of articles written by the authors of the organization
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Description
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)
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Description
This article proposes an approach to teaching mathematics in high school, based on the application of application software packages, which is especially relevant in connection with attempts to transition in the upper grades to profile education, when the student chooses the direction of more in-depth study of subjects, based on his own inclinations. The substantiation of necessity of development of methodical positions and recommendations on use of packets of applied programs on lessons of mathematics in the senior classes of high school is given. The analysis of existing packages of applied programs for teaching mathematics in high school is carried out. During the research, packages used for solving mathematical problems are considered: MS ESCEL, STATISTICA, MATCAD. Known packages of applied programs are classified according to groups of applications in mathematics lessons. Approaches to the use of application packages in math lessons during the pedagogical experiment have been tested. The pedagogical experiment was conducted on the basis of the State Budget Professional Educational Institution of the Krasnodar Territory "Beloglinsky Agrarian Technical Technical School". The analysis of the results of approbation is carried out and recommendations are made on the application of application software packages in mathematics lessons in high school
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COMPARATIVE ANALYSIS OF MODELS OF VENTILATION OF THE SUBSTRATE WITH THE COMPOSTING
DescriptionIn the article we consider the questions of modeling of temperature changes in the composting process, the changes of oxygen concentration and temperature with the air from the environment, produced the effect of composting heat exchange mass with the environment, the selected state variables and the control bioreactor, the dependence of the coefficients of the system equations of motion from the variable state of the object. This article was prepared in the framework of the scientific project 16-48-230441 a(R) "Mathematical modeling of the processes occurring in the automated installation for year-round production of organic fertilizers in the conditions of the Krasnodar region", financed by RFBR and the administration of the Krasnodar region
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MODELING DEEP BAR INDUCTION MOTORS FOR SUGAR FACTORY ELECTRICAL POWER SUPPLY SYSTEMS
DescriptionThe article is devoted to solving the urgent task, which is improving the accuracy of transient simulation modes of power supply systems of sugar factories. The material of the article is exploratory in nature, manifested in the fact that we have studied various mathematical models designed for the analysis of symmetric modes of deep bar induction motors. A number of the provisions of article have scientific novelty, which lies in the approach to the choice of the coordinate system for modeling deep bar induction motors. We have formulated the requirements for transient analysis method for deep bar induction motor. We have developed the mathematical models of high-voltage induction motors in different coordinate systems for the analysis of steady-state and transient modes of operation. Based on double-circuit rotor model of induction motor, an analytical expression for the frequency characteristic of the deep bar induction motor is obtained. As an example, we have calculated and presented real and imaginary parts of the frequency characteristic of the induction motor type 2АЗМ-2000 with slip s = 1. The mathematical models of induction motors allow using mathematical apparatus more efficiently to explore different symmetrical modes of engines. The study proposed to use transients in the power supply systems of sugar factories for the analysis. The authors suggest an approach to modeling, which can also be useful for modeling induction generators
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SYNTHESIS OF A SYSTEM OF OPTIMIZATION OF CONSUMPTION OF NONRENEWABLE RESOURCES
DescriptionThe NP-problem of discrete optimization of consumption of non-renewed resources is considered. The weights of edges of the graph of resources set cost of consumed resources. It is offered to use the transitions of discrete system conditions on the complete graph with number of vertexes, equal to quantity of discrete resources, for the problem decision. The purpose of such system is construction of a chain of the predetermined length and the minimum weight on the complete graph. The problem factor is factorial growth of number of variants of chains on graph at linear growth of quantity of resources. The main idea consists in a use of found statistical regularities of transition ranks of discrete system at construction of chains with the minimum weight on graphs of the any size. Use of ranks allows to abstract from concrete weights of transitions and to find the property inherent optimum. In this article, the structure of discrete system is presented and its functioning in a mode of analysis of ranged decisions is described. Distinctive feature of the presented system is use of the generator of ranks, the generator ranged chains and the statistics block. They are used for definition of distribution of suboptimum decisions. In addition, the article contains the description of structure and functioning of discrete system in a mode of synthesis of suboptimum decisions on the basis of the found distribution of probabilities of local decisions. Novelty of the offered approach to construction of solvers of NP-problems is in using empirical functions from ranks of local decisions to control the search
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01.00.00 Physical-mathematical sciences
DescriptionThe time-optimal diagram of movement of the executive body of the precision DC drive with elastic shafting with constrains of maximum current and the fifth derivative of the speed has been designed. The algorithm has been developed to determine the parameters of the time-optimal diagram of movement of the executive body of the precision DC drive with elastic shafting with constrains of maximum current and the fifth derivative of the speed. The region of existence of the time-optimal diagram of movement of the executive body of the precision DC drive with elastic shafting with constrains of maximum current and the fifth derivative of the speed has been set. According to the results of the numeral experiment, the dependences of the duration of the cycle of movement of the executive body of the drive from prescribed displacement (rotation angle) for different values of the fifth derivative of the speed have been plotted
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Description
Nigeria has the largest oil sands and bitumen resources in Africa and is one of the main leading countries in the world from the point of view of its significant potential heavy oil deposits. Research of geological and physicochemical properties confirmed that the Nigerian bitumen is an important energy source and an alternative source of hydrocarbon feedstock for the petrochemical industry. Nigeria imports black oil for the petrochemical industry and its heavy oil can act in place of this black oil. In addition, researchers have successfully established the possibility of producing electrical energy from this heavy oil. Tar sands and bitumen are able to help improve the economy of Nigeria
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PROBLEMS OF TRANSITION OF SMALL AND MEDIUM OIL COMPANIES IN LARGE BUSINESS
DescriptionThis article covers the qualitative difference between small, middle and large oil and gas business companies. Difficulties are shown while transferring from small into big business. Special methods of technology adaptation in oil and gas management are given when transferring from small into big business. The adaptation managing technological methods are defined in oil and gas enterprises while transferring ftom small into big business. The main problem in this case is the absence of adequate mechanisms of management efficiency. Such mechanisms would show quite exactly the role of each of the subjects of corporate relations and would form effective communications, state definite managing tasks, produce a definite control of their realization, connecting them with the system of encouragement and motivation. While transferring from small and medium into big business in oil and gas industry the struggle inside of the corporation strengthens for the influence over the finical aspects. This general struggle should be transformed into in cooperation and general development of the corporation, management and owners of the company. In this sphere most of modern researches are fixed on the adaptation of foreign methods, technologies of management to problems of Russian oil and gas companies. For solving this problem it is necessary to work out quite a different approach which will be based not on copying positive forms of relations but on formation conditions for a new type of Russian corporative management with economic, historical and social specialties of the national management
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MODELING OF MANAGEMENT SITUATIONS IN CONSTRUCTION OF REAL ESTATE OBJECTS
DescriptionThe article proposes an approach to constructing a methodology for modeling managerial situations in the construction of real estate objects using a hierarchical system and choosing a developer company to be charged with the construction of real estate. A comprehensive methodology has been developed on the basis of which it is possible to forecast problem situations that arise during the construction of a real estate object and conduct a scientifically valid choice of a developer company
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NEURAL NETWORK PREDICTION MODULE FOR ELECTRICITY CONSUMPTION
DescriptionIn this work, we consider the design and development of neural network software module for prediction of electricity consumption in the system of support of decision-making power control. Two prediction models support the software module: regression model and neural network model, based on multilayer perceptron. Software development to predict power consumption in the system of decision-making today is one of the priority directions in the Russian power industry. Therefore, the work associated with the development of methods and algorithms of forecasting of power consumption in the power sector, is surely relevant