Development of an algorithm for complex processing of geospatial data in the special-purpose geoinformation system in conditions of diversity and uncertainty of data
Journal Title: Восточно-Европейский журнал передовых технологий - Year 2019, Vol 5, Issue 9
Abstract
The algorithm of complex processing of geospatial data in special-purpose geoinformation systems in the conditions of diversity and uncertainty of data is developed. The novelty of the algorithm is to ensure the functioning of the geoinformation system in conditions of scarcity of computing resources, taking into account the uncertainty about the status of the monitoring object (exploration object). This algorithm takes into account the coefficient of relative significance of occurring events in the processing of geospatial data circulating in the special-purpose geoinformation system. The proposed algorithm uses the developed complex indicator of occurring events, which characterizes the probability of performing the tasks by the geoinformation system, the completeness of their solution for the management cycle and taking into account the significance of emerging events. Complementary approaches to resource management of special-purpose geoinformation systems are proposed. The development of the proposed algorithm is due to the need to increase the speed of processing various types of information in geoinformation systems with acceptable computational complexity. The proposed algorithm allows to increase the efficiency of geoinformation systems due to complex processing of geospatial data circulating in it. This algorithm should be used in the development of software for special-purpose geoinformation systems to improve their efficiency by increasing the speed of information processing in special-purpose geoinformation systems. The proposed algorithm improves the processing speed of information in special-purpose geoinformation systems from 16 to 20 % depending on the amount of information about the monitoring object
Authors and Affiliations
Alexander Koshlan, Olha Salnikova, Mariia Chekhovska, Ruslan Zhyvotovskyi, Yevgen Prokopenko, Taras Hurskyi, Yevhen Kalashnikov, Sergii Petruk, Andrii Shyshatskyi
Keywords
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- EP ID EP668838
- DOI 10.15587/1729-4061.2019.180197
- Views 65
- Downloads 0
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