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  • Automation and control of technological processes of a promising checkpoint

    The restraining setting for customs administration at the border of the Russian Federation is the insufficient equipment and technological equipment of checkpoints. The current uniform requirements for equipment and material and technical equipment of buildings, premises and pass structures do not provide for the introduction of high new technological solutions that have appeared in recent years. Proposals are presented to improve the control system at checkpoints based on advanced technologies of Technet technologies and subtechnologies of end-to-end digital technology "Artificial Intelligence and Neurotechnologies".

    Keywords: customs, automation, end-to-end digital technologies, checkpoint

  • Optimization of the architecture of the Unified automated information system of customs authorities

    The existing architecture of the Unified Automated Information System of Customs Authorities (UAIS TO) does not fully comply with modern requirements and the goals and objectives of the FCS of Russia. The problems of desynchronization and multiple duplication of data in numerous automated information subsystems, software complexes, information and reference systems and various software tasks that make up the specialized software of the UAIS TO create prerequisites for the occurrence of emergency situations, which leads to the likelihood of stopping data transmission during customs operations , delays in the release of goods and problems with the functioning of other regulated procedures. Proposals for improving the UAIS TO are presented in terms of technical architecture, in terms of information and software infrastructure and in terms of functional architecture such as: modernization, taking into account the trends of import substitution, increasing the computing power of the data center, improving the telecommunications infrastructure (high channel capacity, uninterrupted, guaranteed data transmission); centralization of information and software tools; implementation of a functional subsystem of a unified analytical storage of information.

    Keywords: automated information system, information system architecture, customs authorities, automation

  • Opportunities to improve customs risk management system based on automatization of risk identification

    The development of the customs service of the Russian Federation until 2030. The aim of the research is to improve the customs risk management system as a result of the development of a methodology for the automated application of the flow of goods between various customs services. As a result, an algorithm for searching and analyzing goods flows was proposed and its software implementation of mediation in MS Access requests for a database of electronic copies of goods declarations was presented.

    Keywords: risk management system, flow of goods, customs risks, foreign economic activity, databases

  • Opportunities to improve customs risk management system based on fuzzy logic

    The risk management system of the Federal customs service of the Russian Federation needs to be improved - first of all the technology to identify the category of risk level of foreign trade activities participants in the framework of the risk categorization. When assessing the level of risk of participants in foreign economic activity, it is advisable to base the definition of the risk category on a set of heuristic rules reflecting the experience gained by customs officials and the ambiguity (blurring) of the initial data. The purpose of the study is to determine the possibility of improving the system of customs risk management by creating a fuzzy model of risk classification of traders. A prototype of fuzzy model (Mamdani algorithm) for determining the level of risk of of foreign economic activity participants, developed in the environment of Fuzzy Logic Toolbox Matlab package, is presented. Recommendations on the creation of a full-fledged model of risk categorization of traders are formulated.

    Keywords: risk management system, categorization, risk level, foreign economic activity participant, fuzzy logic, fuzzy model