name
Zhmurko Daniil Yuryevich
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Kuban State Agrarian University
ассистент
Research interests
материально-финансовые потоки, логистика
Web site url
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TOP5 co-authors
Articles count: 27
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
This article examines the categories, principles, patterns, functions, and methods of adaptive management. Consideration of the fact that the adaptation is the model of behaviour of systems with complex organization in market conditions, and adaptive management - mechanism of realization of this model of behavior in real conditions. Comparison of adaptive management principles; a classification of principles, laws and methods of adaptive management
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PARADIGM IN THE PHILOSOPHY OF THE GENERAL THEORY OF CYCLES (CRISES)
DescriptionThe article considers the special role of paradigms in the study (writing) of the General theory of cycles. The authors ' task is systematization of knowledge in this area and obtain an objective assessment by means of retrospective material, which shows the change of one paradigm to another
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PROCESSES, CYCLES AND PHASES OF ADAPTIVE MANAGEMENT INTEGRATED SEGMENTS IN THE MARKET ECONOMY
DescriptionThe article reveals the concepts such as processes, cycles and phases (stages, levels) of adaptive man-agement. The stages of the management cycle of integrated segments of sugar subcomplex are pro-vided in the tables. We also provide a definition for systems with aggravation
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Description
The article examines the concept and essence of adaptive management. The classification of adaptive management system (AMS). Is an example of adaptive management system with complex organi-zation for integrated segments of sugar subcomplex of agriculture
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Description
The article discusses the possible variants of solution of the problems accompanying the sustainable development of integrated segments of sugar sub-complex of agroindustrial complex adaptive management. It also describes the study of criteria and requirements they must meet
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THE PROPOSED AXIOMS OF THE GENERAL THEORY OF CYCLES
01.00.00 Physical-mathematical sciences
DescriptionIn this article, we consider the task of systematizing the axioms and postulates, directly or indirectly connected with the study of the cycles of varying length and nature, which constitute the absolute of the general theory of cycles
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Description
The article examines the categories, such as subject (subject-target) activities or border adaptive man-agement integrated segments of sugar subcomplex, peculiarities and specific features of adaptive man-agement peculiar only to them. The definition of benchmarking has been given, as well as we have proved the necessity of its making by complex adaptive systems of the sugar sector of the economy
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Description
The article considers brief theoretical information of the wavelet transform and the methods of identification of nonlinear time-varying systems using multiresolution wavelet transform. The methods of data processing based on wavelet transformation are widely used in recent times. Wavelets have significant advantages compared to Fourier transform because wavelet transform tells you about not only the frequency spectrum of the signal, but also on what point in time came one or another harmonic. With their help, you can easily analyze intermittent signals or signals with powerful bursts. Moreover, wavelets allow us to analyze data according to scale, on one of the preset levels (small or large). The unique properties of wavelets allow constructing a basis in which the representation of the data will be expressed with just a few nonzero coefficients. This property makes wavelets a useful tool for data packaging. Small expansion coefficients may be discarded in accordance with the selected algorithm without a significant impact on the quality of the compressed data. Wavelets have found wide application in digital signal processing and data analysis. There are two classes of wavelet transforms: continuous and discrete. In the article implemented the discrete wavelet transform with the resulting output distribution on a 3D graph. The algorithm and the results of converting a time series of indicators of integrated industrial systems of the sugar subcomplex in the agro industrial subcomplex. The methods of neural network modeling for improved accuracy in predicting high-frequency oscillation are applied in the research. The method of determination of cyclic patterns based on coefficients of the wavelet transform is proposed
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Description
The article is devoted to the search and development of new models of structural changes. The results of these studies correct the activity of the major sugar integrated production systems of sugar subcomplex in the agro industrial subcomplex. The article reveals the problem of formation of an integrated methodology for analysis of structural changes in the economy of AIC, denoted with indicators and macroeconomic parameters of the sugar subcomplex, which need to be considered in the evaluation of structural changes. We set the task of developing a new tool of mathematical statistics, solving a range of problems for identifying non-stationary time series (NSTS) of the “beginning” of new super cycles (sets of cycles). In the economy the classic solution to this problem is in the field of detection of non-equilibrium effect of delayed reaction to earlier technological change, changes in foreign trade conditions, low mobility of labor and capital, and the various barriers to free competition. From our point of view, the ideal solution corresponds to the detection channel offset and the verification of dynamic series for homogeneity, i.e. the presence of phase transitions. The structural shift in the economy can be seen as a qualitative change in the system, consisting in the replacement of the previously existing ties between its constituent parts with new ones. Such shifts are due to the uneven development of the various elements of the economic system, they indicate that there are changes in the needs of subjects of economic life and economic resources. The author proposes a control parameter of the analysis, which uses methods to determine structural changes (tests Pettitte, Buishand and Alexandersson). The article deals with structural changes in the sugar industry of agriculture. The analyzed period is according to different categories from 60 to 180 years. The presence of structural changes is investigated by indicators such as the amount of sown areas, gross harvest, yield of sugar beet and sugar production from sugar beets and cane. We have investigated the theoretical and methodological approaches, the existing methods for the analysis of structural shifts in the economy and their impact on reproductive processes, their classification is given. We have identified key issues of improving efficiency and quality of transforming the economic structure of the sugar subcomplex. The article shows the dynamics of indicators of the economic structure of the sugar subcomplex of Russia and other countries of the world for different periods of time and its impact on sugar subcomplex of AIC. The author has proposed an adaptive algorithm and model test for homogeneity (structural shift) for integrated production systems that focus on sugar subcomplex of AIC. This method has been tested by the author in relation to economic systems (at various levels) of sugar subcomplex in agro industrial subcomplex of Russia, other countries and the world at large. Along with this, the author has proposed (we have developed a hierarchical analysis of structural changes) to use the identification of clusters for each category of sugar subcomplex with attraction of mathematical apparatus in the form of tests for homogeneity. We have marked indicators and parameters for the analysis of structural shift, the main reasons for this phenomenon. The results of empirical studies carried out have confirmed the possibility of practical use of the developed analysis
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Description
Objective: To improve the consistency and effectiveness of strategic planning and forecasting in modern conditions it requires development of the existing classifications of types of planning, strategies, forecasts and forecast methods. This study examines the introduction to problems of spectral analysis of the macroeconomic dynamics of key world and Russian sugar subcomplex. The article is devoted to forecasting the activities of integrated manufacturing systems of sugar subcomplex in agro industrial subcomplex. As well as to the practical application of economic-mathematical methods (based on spectral analysis) to control the economic parameters of the integrated industrial systems of the sugar subcomplex, oriented to meet the needs of the sugar production of the population not only of individuals, but of the regions and the country as a whole. Discussion: Procedures to identify and study the dynamics of periodic components of the development of the agriculture segment agriculture are based on methods of spectral analysis of random processes. The article describes the performed experiments with various kinds of non-stationary time series of agricultural sector and food industry sugar subcomplex. The article presents results of numerical experiments with the spectra of time series of sugar production, sown areas, gross harvest and yield of sugar beet and sugar cane country. Systematic ideas and methods underlying the spectral analysis were shown. The article also assesses the results. Results: The algorithm developed by the author for the adaptive method of spectral analysis was implemented by the author in the context of a specific software product, namely in MS Excel format. The results of the empirical research confirmed the possibility of practical use of developed models in forecasting likely scenarios for the development of sugar sub-complex in the interests of integrated production systems. The results are illustrated by numerous graphs based on real data. We have also built projection of latent structures of sugar subcomplex in the macroregions. It is revealed that each of the macroeconomic time series can contain at least from 2 to 9 harmonics (cycles) of different kind and strength of impact on the trend