Scientific Journal of KubSAU

Augmented reality offers unique ways to display visual information, in particular the visualization of threedimensional objects. With AR object can be visualized directly in the context of its operation. As an example can be a piece of furniture rendered in the interior, plants in the garden, the architectural object in the landscape. Modern consumer devices such as smartphones and tablet computers, as well as the algorithmic base lead to the possibility of augmented reality mass usage. The concept of augmented reality offers a better user interface for visualization through a combination of methods of controls and visualization. The camera angle can be controlled by user’s head or device movements, which is intuitive and efficient. Method of visualization of three-dimensional object by combining its image with the surrounding environment allows better perceiving the object, its dimensions, and material properties. In contrast to the traditional visualization approaches, AR does not require modeling of the environment. Objects visualization by means of AR can be applied to customer decision support while buying products. The user is provided with the ability to visualize an object in interior or outdoors, where he plans to place it, and interactively examine the object from any angle. This article attempts to systemize possible options for interaction with potential buyers through applications with augmented reality technology

Tracking is a vast field of research associated with navigation, robotics, and virtual environments (virtual reality). Tracking for augmented reality requires higher level of precision, increased range of action, as well as work with a wider variety of input data. It is important that augmented reality technology requires tracking in real time, which also complicates the task. Correct visualization of objects in three-dimensional space requires six degrees of freedom tracking: three position values (x, y, z) and three angles (rotation around the respective axes) to determine the orientation. To solve this problem, different approaches and sensor types are being used. In this article, we present a brief history of the development of tracking technology and analyze the current approaches to implement the process of tracking on mass mobile devices such as smartphones and tablet computers. We also describe some issues in implementing optical marker based tracking for visualization of large scale models

The purpose of this research is the development of models and methods of multiparameter diagnostic effectiveness of educational environments. We know, that a criterion-diagnostic system for monitoring the effectiveness of higher education institutions - educational Macromedia is being designed, which is not the monitoring of the effectiveness of educational microenvironments and meso-environment - departments and faculties. The issue of the research - to increase the productivity (efficiency) of functioning of educational environments. The problem of research is the question of how to diagnose the effectiveness of educational environments objectively and comprehensively. The urgency of this problem is due to: the need to ensure the effective functioning of educational institutions, their sustainable innovative development; increasing demand for general and vocational education, as well as its transition to a multi-level system. Methodological basis of the research: a competence-based approach (considered an important target value of the educational process formation of the competences and personal and professional qualities of students, integrating knowledge, skills and readiness for their effective use in solving of life, professional and educational problems), metasystem approach (considering the educational environment as a metasystem, including relatively independent subsystems - educational environment of lower level of the hierarchy), qualimetric approach (considering the effectiveness of the educational environment as an integrative figure, which is diagnosed on the basis of estimating a set of criteria), synergetic approach (considering the educational environment as a self-organizing system, and the efficiency of its functioning - as an indicator of the success of the use of resources for further development). Synergetic approach is relatively new in the evaluation of the effectiveness of the educational process and the educational environment as a whole

This article is devoted to consideration of questions of agro-industrial integration. Agro-industrial complex is a difficult dynamic system, including different branches of a national economy. In this work, the scheme of agro-enterprise functioning is submitted. The scheme was constructed with use of so-called “black box” model. The agro-enterprise significantly differs from the enterprises of other branches by a number of signs of. It is connected with the fact that agricultural production is characterized by high degree of uncertainty. Tasks of the uncertainty analysis, and, as a result, different risks of the agroenterprises are actual. Development of the effective mechanism of risk management is also an important task. In this article, the features of risk classification in agroindustrial complex, including the specific risks, are considered. The agroenterprises actively use integration mechanisms for decrease of possible consequences of a risk event. There are vertical and horizontal integration. Structures of the integrated agro-industrial production systems, which construct taking into account vertical and horizontal communications, are considered in this article. The most effective is vertically matrix integration in which the diversification mechanism of business is considered. The feasibility of the risk assessment with due regard for integration communications is proved

In this article, the general structure of technologically complete production chain of the integrated production system of agroindustrial complex was considered. Three different variants of creation of the production chains are described. The main distinctions in activity of chains consist in a source of raw materials. Any technologically full vertical chain includes three stages – production of raw materials, storage and processing, realization. Each of stages is characterized by different situations of the risk. Stages of process of functioning of a production chain were considered in this article. Also, the qualitative analysis of risk for all stages is made and the results of this analysis are considered. Results of this analysis became a basis for improvement of stream model for determination of efficiency of the technological chain taking into account a risk component. In the article, the algorithm of an assessment of efficiency of the technological chain of the integrated production system taking into account a risk component at the stage of creation of a material stream is also described

In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 1st and 2nd stages of ASC-analysis: cognitive structuring and formalization of the subject area. At the stage of cognitive structurization of subject area, researchers decide what to consider as the object of modeling, the factors affecting it and the results of their actions. In accordance with the results of the cognitive structurization, we prepare the initial database for the study (training sample or case-based reasoning). At the stage of formalization of the subject area, the base of the original data is being normalized, i.e., we develop classification and description: the scale and graduations and with their use the base of the source data is being encoded. The result is a database of events (eventological database) and the training sample. The stage of cognitive structuring and preparation of the source data is not formalized and the formalization of the subject area is fully automated and performed directly with the use of the universal cognitive analytical system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and formalization of the subject area of ASC-analysis are the first steps of data conversion into information and into knowledge. Subsequent steps: the synthesis and verification of system-cognitive model, the decision of problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model will be considered in future articles

In this article, in accordance with the methodology of the Automated system-cognitive analysis (ASCanalysis), we examine the implementation of the 3rd ASC-analysis: synthesis and verification of forecasting models of development of diversified agro-industrial corporations. In this step, we have synthesis and verification of 3 statistical and 7 system-cognitive models: ABS – matrix of the absolute frequencies, PRC1 and PRC2 – matrix of the conditional and unconditional distributions, INF1 and INF2 private criterion: the amount of knowledge based on A. Kharkevich, INF3 – private criterion: the Chi-square test: difference between the actual and the theoretically expected absolute frequencies INF4 and INF5 – private criterion: ROI - Return On Investment, INF6 and INF7 – private criterion: the difference between conditional and unconditional probability (coefficient of relationship). The reliability of the created models was assessed in accordance with the proposed metric is similar to the known F-test, but does not involve the performance of normal distribution, linearity of the object modeling, the independence and additivity acting factors. The accuracy of the obtained models was high enough to resolve the subsequent problems of identification, forecasting and decision making, as well as studies of the modeled object by studying its model, scheduled for consideration in future articles

The goal of the study is to research a noise-immunity of pseudo-noise sequence acquisition method for multicarrier communication systems MC-CDMA, using a segment of the pseudo-noise sequence. The goal was achieved by running a simulation developed in MATLAB. By analyzing the results, we can show that the developed mathematical model produces the lower bound for pseudo-noise sequence acquisition probability. The resulting analytical estimations might be used during the design phrase for pseudo-noise sequence acquisition systems for MC-CDMA based military communication networks

The goal of the study is to analyze the existing quantum distribution systems, their probable applications, as well as the issues with their practical implementation

Grain is of strategic importance and is the basis for food security. The gross national product share of grain and its products is about 10-15%. It always stands out from other types of raw materials, as it is used to produce the most popular daily foods. According to the characteristics of management in agriculture, it should be emphasized that the absence of objective and timely information at all stages of production of the plant-breeding, and as a result, non-optimal choice of technology of cultivation of agricultural crops, might result in the fact that the cost of labor and material resources increases significantly, the company does not receive profits, and sometimes suffers losses. When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the process of adaptation and the possibility of using the model and the method of binary matrices to solve the problem of the choice for cropping technology