Training of Remotely Piloted Aircraft Operators for Border Surveillance in Ukraine based on the European Union Standards
DOI:
https://doi.org/10.18662/rrem/13.3/444Keywords:
remotely piloted aircraft systems, professional training, border guard, European UnionAbstract
The study reveals the theoretical and practical approaches to building of an all-European training strategy for remotely piloted aircraft systems (RPAS) operators to increase their interoperability in the European Union countries and Ukraine. Nowadays, the border guard agencies both in EU and Ukraine have developed their national courses and training programs related to training of RPAS operators, however, the proposed in this study common approach is based on the Sectoral Qualification Framework in the field of border protection and Common Core Curriculum for border guards in EU and is aimed at expanding the use of small RPAS for a specific task of protecting the border sectors of various types (land, sea, air) in accordance with the Concept of European Integrated Border Management. The research was carried out in the frames of the Grant Program of the European Agency for Border and Coast Protection Frontex "The use of RPAS for border protection - tactics, guidelines, best practices". The study covers the analysis of the theory, market solutions, takes into account practical border protection experience, which resulted in creation of a common curricula for operators of RPAS in the specific sphere – surveillance of the state borders. The developed training course for RPAS operators provides an opportunity to train external crews of unmanned aerial vehicles, which will best meet the objectives and peculiar needs of the state border protection agencies of the European Union and Ukraine. The readiness of future RPAS operators to perform professional duties on border surveillance was diagnosed according to cognitive (knowledge formation) and operational (skills and abilities formation) criteria. Comparison of the values of these criteria before and after the formative stage of the experiment shows that the experimental measures for the application of best European practices in the training of RPAS operators have positively affected the quality of their training. The results of the study will help strengthen the state border security within the European context of border guarding by means of increasing the level of interoperability of RPAS operators in the EU countries and Ukraine.
References
Balendr, A., Komarnytska, O., Bloshchynskyi, I., & Didenko, O. (2018). Informatsiyno-komunikatsiyni tekhnolohiyi z inozemnykh mov navchannya prykordonnykiv u krayinakh Yevropeyskoho Soyuzu [Information and communication technologies in foreign languages training of the border guards in the European Union Countries]. Information Technologies and Learning Tools, 67(5), 56-71. https://doi.org/10.33407/itlt.v67i5.2305
Balendr, A., Komarnytska, O., & Bloshchynskyi, I. (2019). Ukrainian border guards interoperability assessment in the framework of common European border guard standards implementation. Advanced Education, 6(12), 35-43. https://doi.org/10.20535/2410-8286.128196
Common Core Curriculum for Border Guard Basic training in the European Union. (2012). Frontex. https://www.statewatch.org/media/documents/news/2012/mar/frontex-ccc-training.pdf
Dictionary of Military and Associated Terms. (2016). United States Department of Defense. https://fas.org/irp/doddir/dod/jp1_02.pdf
Sectoral Qualifications Framework for Border Guarding. (2013). Frontex. Warsaw, Poland: Rondo ONZ 1.
Frontex Annual Activity Report (2016). European Agency for the Management of Operational Cooperation at the External Borders of the Member States of the European Union. https://www.statewatch.org/media/documents/news/2017/aug/eu-frontex-activity-report-2016.pdf
Haddal, C., & Gertler, J. (2010). Homeland Security: Unmanned Aerial Vehicles and Border Surveillance. Congressional Research Service. https://nsarchive2.gwu.edu/NSAEBB/NSAEBB527-Using-overhead-imagery-to-track-domestic-US-targets/documents/EBB-Doc24.pdf
Interoperability Assessment Program Study. (2015). European Agency for the Management of Operational Cooperation at the External Borders of the Member States of the European Union. https://op.europa.eu/en/publication-detail/-/publication/ae1244c0-0302-11e7-8a35-01aa75ed71a1
Katerynchuk, I., Rachok, R., Mul, D., & Balender, A. (2016). Modelling of radio waves propagation and creation of radio networks using geoinformation systems. 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET). (pp. 677-681). https://doi.org/10.1109/TCSET.2016.7452150
Katerynchuk, I., Shynkaruk, O., & Balytskyi, I. (2018). Definition of approaches to the assessment of tactical unmanned aerial vehicles effective use in the state border guard body. TCSET-2018: 14th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering. (pp. 1255-1259). https://doi.org/10.1109/TCSET.2018.8336422
Marin, L. (2016a). The ‘metamorphosis’ of the drone: challenges arising from the deployment of drone technology in border surveillance. In D. M. Bowman, E. Stokes, & A. Rip (Eds.), Embedding New Technologies into Society. A Regulatory, Ethical and Societal Perspective (1st Edition) (pp. 1-35). Jenny Stanford Publishing.
Marin, L. (2016b). The deployment of drone technology in border surveillance, between technosecuritization and challenges to privacy and data protection. In M. Friedewald, J. P.Burgess, J. Čas, R. Bellanova, & W. Peissl (Eds.), Surveillance, Privacy and Security. Citizens’ Perspectives (1st Edition) (pp. 107-122). Routledge.
Mykytiuk, М. (2018). Rol ta mistse bezpilotnykh litalnykh aparativ u zabezpechenni bezpeky lyudey pid chas masovykh zakhodiv [Role and the place of unmanned aerial vehicles in ensuring the safety of persons during mass events]. Scientific Notes of Lviv University of Business and Law. 41-47. https://nzlubp.org.ua/index.phbp/journal/article/view/33
NATO STANAG 4670 (Edition 3) Guidance for the Training of Unmanned Aircraft Systems (UAS) Operators. (2014). NATO Standardization Agency. https://standards.globalspec.com/std/14246887/STANAG%204670
Regulation (EU) 2019/1896 of the European Parliament and of the Council. (2019). European Border and Coast Guard. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019R1896&rid=2
Sharma, B., Chandra, G., & Mishra, V. (2019). Comparative Analysis and Implication of UAV and AI in Forensic Investigations. Amity International Conference on Artificial Intelligence (AICAI). 824-827. https://doi.org/10.1109/AICAI.2019.8701407
The European Qualifications Framework for Lifelong Learning (EQF). (2018). Luxembourg: Publications Office of the European Union. http://ecompetences.eu/wp-content/uploads/2013/11/EQF_broch_2008_en.pdf
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