scholarly journals Model Analytical Intelligence of Agents for Detecting Sudden Events

Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 43-49
Author(s):  
D. Paskin ◽  
L. Ptitsyna

The objective reasons for the demand in the digital economy of intelligent systems for detecting suddenly occurring events are described. The principles of the formation of software for agents for detecting sudden events are presented. Typical conditions for the functioning of agents are considered. A method for detecting sudden events has been selected. Detection quality indicators are determined. Revealed techniques for modeling detection processes. Formed model analytical intelligence agents detecting suddenly occurring events.

2020 ◽  
Vol 13 (4) ◽  
pp. 414-429
Author(s):  
O.E. Laktionova

Subject. The introduction of projects for digital economy development necessitates the improvement of the management efficiency of various elements of the financial system. Objectives. The aim of the study is to justify the need to use business analytics tools in managing the financial system in the digital economy, to show that in the model of financial outsourcing it is possible to apply the tools of predicative analysis, which is performed based on digital analytics platforms. Methods. The study rests on the use of one of the methods of predicative analysis, i.e. the method of correlation analysis. Results. Business analytics tools enable to unveil the most significant factors in the development of the income part of local budgets. The correlation matrix obtained through the analytical digital platform demonstrate that the strongest correlation in the income part of local budgets belongs not only to tax revenues, but also to inter-budget transfers. Business analytics tools help provide recommendations for increasing the amount of tax revenues to local budgets. The management cost can be reduced by using financial and tax outsourcing models. The paper shows that the use of modern predicative analysis tools will increase the management efficiency and enhance the effect of indirect financing by reducing the cost of tax administration. Conclusions. To accelerate the transition to the digital economy and to the digital region, it is important to actively use business analytics techniques and the methodology for modeling the innovative intelligent systems for decision-making, including the use of artificial intelligence tools.


2011 ◽  
Vol 49 (05) ◽  
Author(s):  
C Bannert ◽  
K Reinhart ◽  
D Dunkler ◽  
M Trauner ◽  
W Weiss ◽  
...  

2018 ◽  
Author(s):  
K Triantafyllou ◽  
S Karamaroudis ◽  
S Hariklia Vorri ◽  
P Gkolfakis ◽  
V Papadopoulos ◽  
...  

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.


2019 ◽  
pp. 3-8
Author(s):  
N.Yu. Bobrovskaya ◽  
M.F. Danilov

The criteria of the coordinate measurements quality at pilot-experimental production based on contemporary methods of quality management system and traditional methods of the measurements quality in Metrology are considered. As an additional criterion for quality of measurements, their duration is proposed. Analyzing the problem of assessing the quality of measurements, the authors pay particular attention to the role of technological heredity in the analysis of the sources of uncertainty of coordinate measurements, including not only the process of manufacturing the part, but all stages of the development of design and technological documentation. Along with such criteria as the degree of confidence in the results of measurements; the accuracy, convergence, reproducibility and speed of the results must take into account the correctness of technical specification, and such characteristics of the shape of the geometric elements to be controlled, such as flatness, roundness, cylindrical. It is noted that one of the main methods to reduce the uncertainty of coordinate measurements is to reduce the uncertainty in the initial data and measurement conditions, as well as to increase the stability of the tasks due to the reasonable choice of the basic geometric elements (measuring bases) of the part. A prerequisite for obtaining reliable quality indicators is a quantitative assessment of the conditions and organization of the measurement process. To plan and normalize the time of measurements, the authors propose to use analytical formulas, on the basis of which it is possible to perform quantitative analysis and optimization of quality indicators, including the speed of measurements.


2020 ◽  
Vol 29 (12) ◽  
pp. 52-58
Author(s):  
E.P. Meleshkina ◽  
◽  
S.N. Kolomiets ◽  
A.S. Cheskidova ◽  
◽  
...  

Objectively and reliably determined indicators of rheological properties of the dough were identified using the alveograph device to create a system of classifications of wheat and flour from it for the intended purpose in the future. The analysis of the relationship of standardized quality indicators, as well as newly developed indicators for identifying them, differentiating the quality of wheat flour for the intended purpose, i.e. for finished products. To do this, we use mathematical statistics methods.


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