Scientific Journal of KubSAU

The article presents the main directions of the application of the scree plot method in solving metrological problems in the social and humanitarian fields of knowledge (economics, pedagogy, sociology, including sciencemetry). It is known that statistical measurements in socio-economic systems are inextricably linked with the processing of primary homogeneous monitoring information. It is also known that empirical averaging (computation of the empirical mean), as the dominant method of mathematical statistics, is becoming a thing of the past, due to moral aging, inconsistency with modern requirements (primarily to measurement results in socio-economic systems); In science meteorology, this method was replaced by the scree plot method (the Hirsch index and other scientometric indicators are estimated on the basis of this method). Despite its enormous potential, the scree plot method, as an alternative to traditional methods of mathematical statistics, is very poorly used in the social and humanitarian fields of knowledge. The authors of this article have shown that this method can be successfully applied in solving various metrological tasks, not only in science (sciencemetry is a branch of science), but also in economics, pedagogy and sociology. In addition, the authors show modifications of the scree plot method, using the example of measuring (measuring) indicators in the economy, sociology and pedagogy; The relationship between the scree plot method and the theory of latent variables (qualimetry) and database technology is grounded. The authors also substantiate that the scree plot method - the basis for the formation of monitoring indicators that adequately reflect the performance of socio-economic systems. The practical significance of the results of this study is that they can be used in socio-economic and psychological-pedagogical monitoring systems (according to modern views, monitoring is an information management mechanism). Methodological basis of the research: system, sociological, competence, probabilitystatistical and qualimetric approaches (leading methodological basis is the probabilistic-statistical approach). Research methods: modeling; Methods of graph theory, sets and relations; Systemic-cognitive analysis; Methods of qualimetry (the theory of latent variables); Methods of mathematical statistics

The 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)

Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.

Initial data for designing of two-level semantic information model of management of agro industrial holding are analyzed in the article, task of their automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved. Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.

Production and processing of grains formed in the national economic system of the country a number of cereals-governmental sectors, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and role of the grain as a commodity in the state economy can not be overestimated. This product, is totally liquid, which has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortagecovered by imports.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 developing multicriteria economic-mathematical model of a comprehensive assessment of technology of cultivation of agricultural crops.

The aim of the article is to analyze existing quantum distribution systems, their facilities, physical bases of quantum objects behavior used in quantum distribution systems and protocols of quantum keys distribution

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

Results of researches on quantitative evaluation of agro-industrial integrated production systems (IPS) risks with the regard of influence of external and internal media are described in this article. Particularly, quantitative method of calculation of integrated risk indexes of unfavorable influence of external medium on integrated production systems; model of determination of IPS effectiveness on the base of worked out models of calculation of integrated risk indexes and an equipment of slipshod great numbers theory; improved model of IPS effectiveness evaluation with the regard of risk component part on the stage of material flow creation have been described.

The article presents the criteria for evaluating the integration of researchers in the scientific community, based on an analysis of its citations. It is known, that one of the major components of interscientific communication (communication in the scientific community) is a citation of scientific publications (monographs, articles, etc.). According to the sociological approach, a scientist is a part of society, ie, scientific community; under scientific community we understand scientific mega environment (opposed to research groups of institutions and their structural units). Integration of a researcher to the community has many aspects: on the one hand, it is - the importance of his work to the scientific community, on the other hand, it is - the use of a scientist social mega environment for building for their personal and professional development to improve their research and improve the quality of its results (in the context of the article we will consider the second aspect). Methodological bases of the research: systematic, competence, sociological, and mega-system qualimetric approaches. Methods: modeling, methods of quality control, methods of set theory, relations and graphs. Evaluation (diagnostics) involvement of scientists in the scientific community - is more complicated metrology task than the evaluation of the significance of the results of its research activities. For the authors it is clear that a mature scientist (with a high level of research competence) should intensively use the potential of the social and the cultural science international environment (community) for their personal and professional development, to improve the efficiency of this research activities and the quality of this results. The proposed indicators can be considered as group indicator variables reflecting the level of the behavioral component of the research competence (scientist). Using social media for researcher’s potential – it is necessary, but not sufficient condition for productive research, producing goodquality scientific results. In this situation, negative prognosis is more significant: poor use of social media for researcher’s potential – is a "guarantee" for low productivity of this research activities and the low quality of this results. Only the combination of the highest levels of readiness for research (research competence) with high levels of other competences (as a whole - the social and professional competence, implying the presence of the professional skills of selforganization) can be the factors of successful research

The goal of the study is to research experimentally a pseudo-noise sequence acquisition method for multicarrier communication systems of MC-DSCDMA, that allows low hardware requirements and able to operate in low quality channels. The way of achieving this lies in using a specially developed computer model of algorithm in Simulink. The achieved results have shown high efficiency of the considered acquisition method in contrast to sequential search method. The proposed algorithm can be used in multicarrier systems for acquisition of aperiodic pseudo-noise sequences in wireless public networks and in military communication networks