Kuban State Technological University
Author list of organization
List of articles written by the authors of the organization
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05.13.18 Mathematical modeling, numerical methods and software complexes
DescriptionThe research purpose is identification and justification of the scientific team’s recognition citation-based criteria. Such parameters of the educational environment as modality, latitude, social activity, social coherence, intensity, maturity etc. are assessable on the basis of the primary information about the scientific team’s research activity results. The authors of this article prove that the data about cross-citations within a scientific team is the primary information about the scientific and pedagogical team members’ recognition of their social system (such information is obtainable from modern scientometric databases, e.g. Russian Science Citation Index). The new scientific results of this research are the identified citation-based criteria for the scientific team’s recognition. The theoretical significance of these results is the possibility of using them as a scientific basis for further research in the sociology of science and for the development of the small social systems functioning models; the practical significance is the possibility to analyze the factors for the success of scientific and pedagogical teams’ research activity (i.e. applicability for the research activity monitoring systems). The research methods are: the methods of set, relations and graph theory, the methods of qualimetry, mathematical statistics (including the scree-plot method) and linear. The research methodology is based on the sociological approach (viewing the scientific and pedagogical team as a well-established social system), the qualimetric approach (declaring the necessity for the multicriterial diagnostics of scientific and pedagogical team’s recognition) and the probabilistic and statistical approach (viewing the scientific and pedagogical team’s recognition citation-based diagnostics as a statistic measurement)
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05.13.10 Management in social and economic systems
DescriptionThe article considers the most used methods and means of knowledge extraction taking into account the quality assessment of models in decision support systems. In scientific and practical terms, the possibilities of joint effective use of expert systems, data mining (IAD) and machine logical inference (MLV), which provides deeper data processing, taking into account the significant differences between databases (DB) and knowledge bases (BZ). DB is a unit of information unrelated to each other information, while BZ – not only related to each other, but also with the concepts of the world, which makes it possible to solve complex multi-criteria problems in various subject areas. Currently, increasing attention is paid to non-network technologies that have the ability to simulate nonlinear processes, work with noisy data, as well as the ability to learn and self-study, extracting essential features from the incoming information. At the same time, the integration of neural network technologies and artificial intelligence models into a single hybrid system together with the methods of logical inference in the form of a hierarchical sequence of the "If-then" rules structure significantly improves the understanding of the studied process and the quality of presentation of the result. Nevertheless, these methods and means of knowledge extraction are insufficient if the fuzzy linguistic inference mechanism is not used. The basic characteristic of fuzzy sets is the membership function, which is a generalized characteristic of a normal set. To set this feature, we use three types of shapes – triangular, trapezoidal and Gaussian type and two main procedures – phasefication and de-phaseification which is considered by the example of the method of Mamdani. Along with the stated most promising direction in this area is the adaptive gain algorithm called AdaBoost, where the limitation of the gain due to the filtering is to apply the subsampling circuit which has the normal contour of batch training, reusable training data. This provides an opportunity to work with weak models, and in the conditions of hybridization causes efficiency increase, strengthens the classifiers united in the "Committee". Each next set of classifiers is built on objects incorrectly classified by previous sets. AdaBoost is sensitive to data noise and emissions and is less susceptible to retraining, which can significantly reduce the number of examples and obtain better output in the DSS
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05.13.10 Management in social and economic systems
DescriptionThe article deals with the complexity of the construction of engineering theories in both scientific and practical direction based on the use of non-traditional approach to the problems of effective data monitoring, especially in the field of control systems of multicomponent representation of objects of system analysis. The study of the complexity of this issue involves a detailed consideration of the relationships of the elements of these objects on the basis of known methods, while the integration of heterogeneous knowledge obtained by such often independent methods becomes very time-consuming and poorly formalized. Currently, the processing of information and its subsequent presentation have changed significantly through the use of data mining (IAD), which includes not only the organization of the knowledge system in various missile defense, but also in the field of DSS. This, in turn, contributes to the effective formalization of fuzzy information and processing it in the form of fuzzy algorithms, which is an extension of the decision support system based on fuzzy logic – DSS NL. At the same time, it is necessary to emphasize the features of the proposed approach of the DSS NL, which is that it can be used in various missile defense systems, including for the effective analysis of statistical information of multicomponent representation of objects, which is used in determining statistical indicators to identify and assess existing and potential risks, adverse situations, as well as in the preparation of motivational grounds for managerial decision-making. For the purpose of more detailed establishment in real missile defense of the relations between objects it is offered to carry out by means of various degrees of dependence. For example, the types of graded connections are considered as fuzzy objective connections, and the use of expert systems and semantic links led to the construction of hypotheses analysis of situations and semantic relationship between them. A significant difference of the considered DSS NL is that each model is formed on the basis of a separate semantic network, and the system itself works with several models of Pro related or unrelated to each other. On the basis of the use of the concept of the relationship of proximity between concepts, belonging to the situation, its information part of the recommendations Are grouped according to the selected situation for their subsequent analysis and decision-making. On the basis of the principle of coordinating actions and construction of the function, taking into account the optimal time of the control action, the General algorithm of decision support for emergency production situations in the Pro low-rise construction, both in urban and rural areas
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05.20.01 Technologies and means of mechanization of agriculture (technical sciences)
DescriptionIn modern combine building over the past few years, there has been a trend towards increasing the productivity of machines and, as a consequence, their physical weight. However, as the weight of the combine harvester increases, the necessary condition for its movement in the field in the course of work is to meet the requirements for its support area. As a result, manufacturers have to increase the size and number of wheels of the machine. One solution to this problem is to replace the wheelset of agricultural machines with replaceable rubber track modules. In this case, the very principle of calculation of the main technical characteristics of the engine changes, and if we are talking about the drive axles of agricultural machinery, the calculation methods can be roughly approximated to the calculation of tracked machines with metal tracks. However, in the case of driven axles, there is an intersection in the calculation methods between the classic calculation of the wheel chassis and the calculation of the tracked chassis. The problem is that the tracked chassis are not usually guided like the wheels, so the calculation methods need to be refined by introducing new evaluation criteria because of new power factors in the track module. The article proposes an alternative calculation model to calculate the maximum resistance torque of a track module on a rubber track