According to Digital Evolution Index 2017, Russia is included to the category of so-called "Break Out" countries. The major problem to be encountered at transfer to the digital economy is adaptation of new technologiessuch as Big Data, Blockchain, Internet of Things, Cryptocurrency, machine learning. No less important field is development of friendly informative environment facilitating international cooperation, cyber safety problems resolving, etc. This example provides the data of the report prototype of a system to detect suspicious transactions. This system shall read and analyze the transaction database and, in accordance with search algorithms, it detects suspicious transactions within the entire data base. The algorithm consists of several stages: development of a graph, selection of suspicious and trusted transactions, calculation of signs and machine learning. The methods of social connections analysis, parallel processing of graphs and mathematical apparatus of neural networks are used as the basis of this research.
The article is devoted to the problem of tax risks of the state, which are described from three standpoints: as damage; through a combination of factors that define them; and from the standpoint of the probabilistic nature of their implementation. It is underlined that the competitive risk of the tax system is closely related to the process of tax competition. The country tax competition is illustrated by the experience of the European Union member states in reducing corporate income tax rates during the period of the European Union expansion in 2004 and 2007. The statistical data are provided to confirm the trend of the reduction of tax rates by the EU member states in the context of economic integration. The experience of the regions of the Russian Federation is described as an example of tax competition at the regional level. The option of assessing the scale of regions' introduction of tax competition tools available in the conditions of modern Russian model of tax federalism is proposed. The comparative analysis of introduction of tax competition tools by regions and advance of the tax revenue growth over the growth of the regional economy is carried out. The absence of an unambiguous relationship between the scale of the introduction of the tax competition tools and the growth of tax revenues is shown by the example of the regions of the Central Federal District. The absence of such dependence is determined by similar taxation conditions in the regions of the Russian Federation, which describe broad prospects for the development of tax competition.
A sequential nonparametric method is proposed for adaptation to background noise parameters for real-time. The method is designed to operate as an adaptation-unit, which is included inside a detection subsystem of an integrated multichannel monitoring system. The proposed method guarantees the given size of a nonasymptotic confidence set for noise parameters. Properties of the suggested method are rigorously proved. The proposed algorithm has been successfully tested in real conditions of a functioning C-OTDR monitoring system, which was designed to monitor a railway. (Abstract)
Keywords-Guaranteed estimation, multichannel monitoring systems, non-asymptotic confidence set (key words)I.
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