Development of an algorithm for complex processing of geospatial data in the special-purpose geoinformation system in conditions of diversity and uncertainty of data

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.180197

Keywords:

geoinformation system, monitoring object, geospatial data, computational complexity, information processing, type of information

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

Author Biographies

Alexander Koshlan, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

Adjunct

Institute of Information Technology

Olha Salnikova, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

Doctor of Public Administration Sciences, Senior Researcher, Head of Educational and Research Center

Educational and Research Center of Strategic Communications in the Sphere of National Security and Defense

Mariia Chekhovska, National Academy of the Security Service of Ukraine Mykhaila Maksymovycha str., 22, Kyiv, Ukraine, 03022

Doctor of Economic Sciences, Professor, Head of Department

Department of National Security

Ruslan Zhyvotovskyi, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitrofloskyi ave., 28, Kyiv, Ukraine, 03168

PhD, Senior Researcher, Chief of Research Department

Research Department of the Development of Anti-Aircraft Missile Systems and Complexes

Yevgen Prokopenko, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

PhD

Institute of Information Technology

Taras Hurskyi, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty Moskovska str., 45/1, Kyiv, Ukraine, 01011

PhD, Associate Professor

Alexander Yefymenko, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Highway Building Machines

Yevhen Kalashnikov, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

PhD, Head of Research Laboratory

Research Laboratory of Problems of Development of Combat use of Rocket Forces and Artillery

Sergii Petruk, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitrofloskyi ave., 28, Kyiv, Ukraine, 03168

Deputy Chief of Research Department

Research Department of the Development of Anti-Aircraft Missile Systems and Complexes

Andrii Shyshatskyi, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitrofloskyi ave., 28, Kyiv, Ukraine, 03168

PhD, Chief of Research Laboratory

Research Laboratory of Electronic Warfare Development

References

  1. Makridenko, L. A., Volkov, S. N., Khodnenko, V. P., Zolotoy, S. A. (2010). Conceptual problems on creation and application of small spacecraft. Voprosy elektromehaniki, 114 (1), 15–26.
  2. Shyshatskyi, A. V., Bashkyrov, O. M., Kostyna, O. M. (2015). Rozvytok intehrovanykh system zviazku ta peredachi danykh dlia potreb Zbroinykh Syl. Ozbroiennia ta viyskova tekhnika, 1 (5), 35–39.
  3. Trotsenko, R. V., Bolotov, M. V. (2014). Data extraction process for heterogeneous sources. Privolzhskiy nauchnyy vestnik, 12-1 (40), 52–54.
  4. Bodyanskiy, E., Strukov, V., Uzlov, D. (2017). Generalized metrics in the problem of analysis of multidimensional data with different scales. Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitrianykh Syl, 3 (52), 98–101.
  5. Noh, B., Son, J., Park, H., Chang, S. (2017). In-Depth Analysis of Energy Efficiency Related Factors in Commercial Buildings Using Data Cube and Association Rule Mining. Sustainability, 9 (11), 2119. doi: https://doi.org/10.3390/su9112119
  6. Petras, V., Petrasova, A., Jeziorska, J., Mitasova, H. (2016). Processing UAV and lidar point clouds in Grass GIS. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7, 945–952. doi: https://doi.org/10.5194/isprs-archives-xli-b7-945-2016
  7. Polovina, S., Radic, B., Ristic, R., Milcanovic, V. (2016). Spatial and temporal analysis of natural resources degradation in the Likodra River watershed. Glasnik Sumarskog Fakulteta, 114, 169–188. doi: https://doi.org/10.2298/gsf1614169p
  8. Poryadin, I., Smirnova, E. (2017). Binary Classification Method of Social Network Users. Science and Education of the Bauman MSTU, 17 (02), 121–137. doi: https://doi.org/10.7463/0217.0000915
  9. Tymchuk, S. (2017). Methods of Complex Data Processing from Technical Means of Monitoring. Traektoriâ Nauki. Path of Science, 3 (3), 4.1–4.9. doi: https://doi.org/10.22178/pos.20-4
  10. Semenov, V. V., Lebedev, I. S. (2019). Processing of signal information in problems of monitoring information security of unmanned autonomous objects. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 19 (3), 492–498. doi: https://doi.org/10.17586/2226-1494-2019-19-3-492-498
  11. Zhou, S., Yin, Z., Wu, Z., Chen, Y., Zhao, N., Yang, Z. (2019). A robust modulation classification method using convolutional neural networks. EURASIP Journal on Advances in Signal Processing, 2019 (1). doi: https://doi.org/10.1186/s13634-019-0616-6
  12. Zhang, D., Ding, W., Zhang, B., Xie, C., Li, H., Liu, C., Han, J. (2018). Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles. Sensors, 18 (3), 924. doi: https://doi.org/10.3390/s18030924
  13. Kukulska-Kozieł, A., Salata, T., Cegielska, K., Szylar, M. (2018). Methodology of evaluation and correction of geometric data topology in QGIS software. Acta Scientiarum Polonorum. Formatio Circumiectus, 17 (1), 137–150.
  14. Rulev, A., Yuferev, V. (2015). Theory of geoinformatic mapping of erosion geomorphological systems. Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Serija 11. Estestvennye Nauki, 4, 62–67. doi: https://doi.org/10.15688/jvolsu11.2015.4.7
  15. Yousefi, M., Kreuzer, O. P., Nykänen, V., Hronsky, J. M. A. (2019). Exploration information systems – A proposal for the future use of GIS in mineral exploration targeting. Ore Geology Reviews, 111, 103005. doi: https://doi.org/10.1016/j.oregeorev.2019.103005
  16. Ashkezari, A. D., Hosseinzadeh, N., Chebli, A., Albadi, M. (2018). Development of an enterprise Geographic Information System (GIS) integrated with smart grid. Sustainable Energy, Grids and Networks, 14, 25–34. doi: https://doi.org/10.1016/j.segan.2018.02.001
  17. Wang, S., Zhong, Y., Wang, E. (2019). An integrated GIS platform architecture for spatiotemporal big data. Future Generation Computer Systems, 94, 160–172. doi: https://doi.org/10.1016/j.future.2018.10.034
  18. Wan-Mohamad, W. N. S., Abdul-Ghani, A. N. (2011). The Use of Geographic Information System (GIS) for Geotechnical Data Processing and Presentation. Procedia Engineering, 20, 397–406. doi: https://doi.org/10.1016/j.proeng.2011.11.182
  19. Pedro, J., Silva, C., Pinheiro, M. D. (2019). Integrating GIS spatial dimension into BREEAM communities sustainability assessment to support urban planning policies, Lisbon case study. Land Use Policy, 83, 424–434. doi: https://doi.org/10.1016/j.landusepol.2019.02.003
  20. Mokhtara, C., Negrou, B., Settou, N., Gouareh, A., Settou, B. (2019). Pathways to plus-energy buildings in Algeria: design optimization method based on GIS and multi-criteria decision-making. Energy Procedia, 162, 171–180. doi: https://doi.org/10.1016/j.egypro.2019.04.019
  21. Karin, S. A. (2012). Integration in the single information space of heterogeneous geospatial data. Informatsionno-upravlyayushchie sistemy, 2, 89–94.
  22. Karin, S. A. (2014). Developing a domain-specific ontology in spatial data processing systems. Informatsionno-upravlyayushchie sistemy, 4, 78–84.
  23. Belousov, S. M. (2006). Matematicheskaya model' mnogopotochnoy sistemy massovogo obsluzhivaniya, upravlyaemoy planirovshchikom resursov. Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya: Informatsionnye tehnologii, 4 (1), 14–26.
  24. Karin, S., Dudin, E. (2014). Methods for creating distribute systems of geospatial data collection, storage, and search. Information & Cosmos, 3, 48–53.
  25. Gatsenko, S. S., Kal'nits'kiy, Yu. M., Gel'veychuk, O. M. (2014). The problem of distribution of information flows in automated control systems of tpoops (forces) of Armed Forces of Ukraine. Zbirnyk naukovykh prats Tsentru voienno-stratehichnykh doslidzhen Natsionalnoho universytetu oborony Ukrainy imeni Ivana Cherniakhovskoho, 2 (51), 107–111.
  26. Koshlan, O. (2018). Method of parameters forecasting for the object of intelligence in geoinformation systems of the special purpose. XI naukovo-praktychna konferentsiya “Priorytetni napriamky rozvytku telekomunikatsiynykh system ta merezh spetsialnoho pryznachennia. Zastosuvannia pidrozdiliv, kompleksiv, zasobiv zviazku ta avtomatyzatsiyi v operatsiyi Obiednanykh syl”. Kyiv, 125–126.
  27. Koshlan, A. (2018). Conceptual model of a specialized geoinformation system. Advanced Information Systems, 2 (3), 36–40. doi: https://doi.org/10.20998/2522-9052.2018.3.06

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Published

2019-10-09

How to Cite

Koshlan, A., Salnikova, O., Chekhovska, M., Zhyvotovskyi, R., Prokopenko, Y., Hurskyi, T., Yefymenko, A., Kalashnikov, Y., Petruk, S., & Shyshatskyi, A. (2019). Development of an algorithm for complex processing of geospatial data in the special-purpose geoinformation system in conditions of diversity and uncertainty of data. Eastern-European Journal of Enterprise Technologies, 5(9 (101), 35–45. https://doi.org/10.15587/1729-4061.2019.180197

Issue

Vol. 5 No. 9 (101) (2019): Information and controlling system

Section

Information and controlling system

License

Copyright (c) 2019 Alexander Koshlan, Olha Salnikova, Mariia Chekhovska, Ruslan Zhyvotovskyi, Yevgen Prokopenko, Taras Hurskyi, Alexander Yefymenko, Yevhen Kalashnikov, Sergii Petruk, Andrii Shyshatskyi

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