August (published: )
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Integration of enhanced qualified electronic signature to the fast healthcare interoperability resources (FHIR RU-core) protocol
Gorbunov N.A., Kuleshova V.O., Korzhuk V.M.
Integration of enhanced qualified electronic signature to the fast healthcare interoperability resources (FHIR RU-core) protocol
Integration of enhanced qualified electronic signature to the fast healthcare interoperability resources (FHIR RU-core) protocol
Reference for citation: Korobeynikov A. G. Application of BIG DATA methods for INTERMAGNET data preprocessing. Journal of Instrument Engineering. 2023. Vol. 66, N 7. P. 533—538 (in Russian). DOI: 10.17586/0021-3454-2023-66-7-533-538.
Abstract. The experience of using geospatial data processing and visualization tools in developing evacuation route schemes within the framework of the Almaty — Safe City program is reviewed. The seismic activity of Almaty is analyzed and the need to implement advanced methods for improving population safety is substantiated. Preprocessing and verification of source data, geocoding using the Python programming language and the GeoPy library for converting text addresses into geographic coordinates are considered. Combined algorithms for calculating optimal routes, methods for optimizing the export of layouts using the QGIS geographic information system, taking into account the topographic and infrastructural features of the city, are used. The automation of layout creation is carried out using the Atlas tool. Layouts of information signs with text and graphic information are developed to facilitate navigation and evacuation of the population. The effectiveness of the developed routes is confirmed in real conditions during the earthquake in January 2024, which demonstrates the practical significance of the research and implemented solutions.
Keywords: geoinformation systems, emergencies, shortest path, geocoding, geodata, graph, cartographic schemes, evacuation of population, visualization
Acknowledgement: Исследование выполнено при финансовой поддержке Российского фонда фундаментальных исследований в рамках научного проекта (грант № 19-08-00865 А).
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