Scientific Journal of KubSAU

This article discusses the general principles of developing software applications for generating and verifying practical tasks in mathematical disciplines in the Visual Basic for Application development environment. The structure of computer programs is described, the main components of the implemented macros are investigated, the algorithms of the basic procedures are given. A special place is given to the problems of identifying students and protecting the generated data. We have also given recommendations on the use of developed programs in the educational process

This article discusses the general principles of developing software applications for generating and verifying practical tasks in mathematical disciplines in the Visual Basic for Application development environment. The article describes the structure of computer programs, the main components of the implemented macros are also investigated, the algorithms of the basic procedures are given. A special place is given to the problems of identifying students and protecting the generated data. We have also given recommendations on the use of developed programs in the educational process

We use an adaptive management system for open systems to assess the impact of investments on the results of the Agro-industrial complex

The 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

The 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

To assess the impact of investments on the results of the Agro-industrial complex, we use an adaptive management system for open systems

The article is devoted to the use of complex computer programs called "Automated verification and final practice on determination of level of professional readiness of police officers to perform their tasks" - ASC "CONTROL" developed with the Delphe programming language. It describes the basic techniques of the automated testing with the use of the complex algorithms training testing database to use, as well as methods of reporting for testing. We describe how to work with the software modules of "Control" and "Analysis". The first is designed to create and edit a test database and processing of results of testing of the subjects. It is only used by the originator of the test and inspection and is not available for testing. The second module is available to everyone because it provides testing. It is implemented as a separate computer and local network. The number of test, at the same time is virtually unlimited. We clearly articulate the features of the use of the software complex, algorithms of creation of new test tasks, describe the setting options of the test database in detail, technology editing sections of the test, definition of assessment criteria, and describe the technologies of testing subjects. The Complex of computer programs of ASC "CONTROL" has passed the technical testing and successfully used in educational process of chair of computer technologies and systems of Kuban state agrarian University and the determination of the level of knowledge of cadets and police officers in Krasnodar University of MIA of Russia. In this regard, this work will be useful to drafters of test databases in this software environment

The work is done in scientific and practical directions for minimization of power losses in transmission of electricity to local distribution networks between the actors of the energy (producers and consumers) of energy-saving technologies focused on technological activities such as modernization and reconstruction of networks. Quite often in various circuits of power systems, it is advisable to transfer energy and its power through intermediate (transit) nodes. Structural changes in the electricity sector, at present, are mainly associated with the introduction of market relations between the subjects of energy exchange; therefore, in this work special attention is paid to the problem of calculating the power losses, as it is nonlinearly dependent on the power at the nodes and branches of a network. It should be noted that the nodes in problems transit capacity could be both sources and consumers. The latter necessitated the need for search of possible ways to reduce transportation losses of energy due to both the improvement and optimization of distribution networks and through the use of intermediate transit nodes. It follows that the transportation problem in this formulation is more General and expands the possibilities of optimization of power losses for the local subsystems of the energy clusters. The work is composed of the transport matrix for solving problems transit capacity, where the algorithm taking into account the distinctive features of which consist in the use of continuous numbering of sources and consumers in the matrix, and any node can be a transit country. The transit capacity ii-th node Zii=0, and the dimension of the matrix in contrast to the previously considered tasks has (n+m) (n+m) and it remains square as all the transport problems of linear programming. Transit variables Xii are included in the solution of the problem with a minus sign, and all transit variables are considered basic. From the above example in the work of a number of branches of a network is minimal, which significantly reduces the cost of building and maintaining the network, and the solver minimizes the power loss between the subjects of energy exchange and, as a result to savings from the standpoint of cost of construction of the network and the management of overflows of energy in it

The authors investigate the conditions conducive to the formation of effective associations of raw material enterprises of the agroindustrial complex and raw material processors. The unbalanced process of relations between agricultural producers and processing plants negatively affects the economic position of the partners of the merger. The diktat of low purchasing prices for raw materials by processing enterprises hinders the cost-effective operation of agricultural commodity producers. Procurement prices set by dairy processing enterprises for milk do not compensate not only production costs, but also losses from inflation. This leads to a sharp decline in the profitability of milk production. A paradoxical situation arose: on the one hand dairy plants encountered an acute shortage of raw materials, on the other, the problem of selling milk by its producers at an acceptable price was aggravated. The disparity between the purchase prices for milk and retail prices for dairy products has led agricultural enterprises to explore alternative markets. On the basis of the mathematical model of the agricultural consumer cooperative, conditions for the formation of effective associations of enterprises of the dairy subcomplex of the agroindustrial complex are analyzed

The development of agro-industrial integration is an objective economic process involving, on the one hand, with the social division of labor and specialization, on the other - with the necessity of interaction between specialized sectors and modes of agricultural production. Agrarian enterprises come into this unification movement, seeking to reduce the risk, the occurrence of which is associated with the production depends on climatic conditions, natural agricultural products market, the dictates of the processing enterprises, the need to improve the competitiveness of production. Processing and service companies are also seeking to secure a stable income thanks to the raw material base, better use of raw materials, improving the quality of its products, decreasing the price and conquering markets. In most cases, the object is to integrate agriculture, and direct or indirect initiators often are non-agricultural plants and firms that concentrate the bulk of production and sales of AIC final product. As a result, the concentration of production results in savings on its scale, so-called technical-technological economy. Increased production expands beyond the optimal use of machinery and equipment. The more spread out are agricultural producers, so it is more difficult to realize their interests for scaling up. In the Russian practice we have developed a variety of organizational forms of integration differ in the nature of economic relations between the parties, the degree of independence of members of the business combination, the combination of centralization and decentralization. Conventionally, they are divided into associative - "soft" and corporate - "hard". By "soft" forms of association include associations, unions, non-profit partnership and a strategic alliance. They can function effectively at the interregional level. Hard type of integration ties characteristic of plants, corporations, trusts, holding companies. Agricultural credit consumer cooperatives (ACCC) is a voluntary association of individuals and legal entities residing or conducting their business activities in certain rural areas, on the basis of membership and monetary union shares in order to meet the needs of the members in the credit and other banking services