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RPAS Satellite Communication Channel Based on IEEE 802.11b Standard

, V. Kondratiuk, A. Ermakov and E. Chernyuk, “Influence of transmitter nonlinearities on data transmission from remotely piloted air system,” Proceedings of the National Aviation University , vol. 72, no. 3, pp. 33–41, 2017. https://doi.org/10.18372/2306-1472.72.11979 [19] A. Grekhov, V. Kondratiuk and S. Ilnytska, “Nonlinearities impact on satellite RPAS communication in clusters,” Global Journal of Researches in Engineering (F) , vol. XVIII, no. I, pp. 5–12, 2018. https://doi.org/10.17406/GJRE [20] A. Grekhov, Recent advances in satellite

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RPAS Satellite Communication Channel Based on Long-Term Evolution (LTE) Standard

, “Nonlinearities impact on satellite RPAS communication in clusters,” Global Journal of Researches in Engineering (F) , vol. XVIII, no. I, pp. 5–12, 2018. [28] A. Grekhov, Recent advances in satellite aeronautical communications modeling . IGI Global, USA, 313 p., 2019. https://doi.org/10.4018/978-1-5225-8214-4 [29] ETSI TS 136 104 V10.4.0 (2011-11). Technical Specification LTE; Evolved Universal Terrestrial Radio Access (EUTRA); Base Station (BS) radio transmission and reception (3GPP TS 36.104 version 10.4.0 Release 10). [Online]. Available: https

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Models of the Reference Departure and Arrival IFR Procedures for the Purpose of Research in RPAS Integration in Controlled Airspace

References [1] European Organization for the Safety of the Air Navigation, UAS ATM Integration – Operational Concept , 1 st edition, 2018. [2] European RPAS Steering Group, Roadmap for the integration of civil Remotely-Piloted Aircraft Systems into the European Aviation System , 2013. [3] ICAO, Manual on Remotely Piloted Aircraft Systems (RPAS) , 1 st edition, 2015. [4] ICAO, Procedures for Air Navigation Services – Aircraft Operations (PANS-OPS), Vol. I, Flight Procedures, 5 th edition, 2006. [5] ICAO, Procedures for Air

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The Creation of Space Vector Models of Buildings From RPAS Photogrammetry Data

Abstract

The results of Remote Piloted Aircraft System (RPAS) photogrammetry are digital surface models and orthophotos. The main problem of the digital surface models obtained is that buildings are not perpendicular and the shape of roofs is deformed. The task of this paper is to obtain a more accurate digital surface model using building reconstructions. The paper discusses the problem of obtaining and approximating building footprints, reconstructing the final spatial vector digital building model, and modifying the buildings on the digital surface model.

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Risk Assessment of Remotely Piloted Aircraft Systems

6. References 1. Galant M. Ograniczenie ryzyka zagrożeń w lotnictwie ogólnym przez zastosowanie systemu monitorującego stan psychofizyczny pilota. Rozprawa doktorska. Politechnika Poznańska, Poznań 2017. 2. Heinrich O., Drone laws in Europe. dronerules.eu 3. http://ulc.gov.pl 4. International Civil Aviation Organization, Manual on Remotely Piloted Aircraft Systems (RPAS), Doc. 10019 ICAO, first edition 2016. 5. Klich E., Bezpieczeństwo lotów, Wydawnictwo Instytutu Technologii Eksploatacji, Radom 2011. 6. Rozporządzenie

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How Robot/human Orchestration Can Help in an HR Department: A Case Study From a Pilot Implementation

Literature Aalst, W.M.P. van der, Bichler M. & Heinzl A. (2018). Robotic Process Automation. Bus Inf Syst Eng, 60(4), 269-272, https://10.1007/s12599-018-0542-4 Abbott, K.R. & Sarin, S.K. (1994). Experiences with Workflow Management: Issues for the Next Generation. In: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work. (pp. 113-120). New York: ACM. Aguirre, S. & Rodriguez, A. (2017). Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study. In Workshop on Engineering Applications, 27

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Robotic Automation Process – The operating system for the digital enterprise

partner. Retrieved from: http://www.zf.ro/eveniment/un-salariu-pe-zi-in-romania-cat-castiga-un-hrbusiness- partner-16885761. Moayed, V. (2017). Crossing the chasm: from pilot to a full scale RPA Deployment. Retrieved from: https://www.uipath.com/whitepapers/from-pilot-to-full-scale-rpa. Moss, D. (2017). Blue Prism Accelerates Access to AI and Cognitive Technologies with Operating System for the Digital Workforce. Retrieved from: https

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Deterioration Causes Evaluation of Third Generation Cellular LTE Services for Moving Unmanned Terrestrial and Aerial Systems

Abstract

Well-deployed cellular networks offer a cheap wireless solution for the control channel deployment of Remote-Control Vehicles (RCV) and Unmanned Aerial Vehicles (UAV). However, a cellular data transfer service performance is affected by a different kind of User Equipment (UE) mobility. Operating conditions of UAV imply working at different altitudes, variable velocities with accelerations/decelerations and rapidly changed antennas angular position, which lead the wireless signal to be prone to negative effects. Available field measurement studies are not sufficient to provide excessive information on degradation problem causes for UEs moving along a complex trajectory. This paper presents an evaluation of the service quality of live operational 3G and LTE networks for both ground moving and flying UE. It has been found that antennas angular position variations in 3D (for example, during UAV manoeuvers) increase data transfer latency and jitter. Moreover, this effect in conjunction with higher interference at high altitudes may partially or fully block the data transfer service. This paper has been prepared to draw attention to the problem that makes the cellular data transfer service unusable for highly-manoeuvrable UAVs.

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Development of a Flexible Software Solution for Controlling Unmanned Air Vehicles via the Internet

Abstract

Remotely piloted operations of lightweight Unmanned Air Vehicles (UAV) are limited by transmitter power consumption and are always restricted to Line-of-Sight (LOS) distance. The use of mobile cellular network data transfer services (e.g. 3G HSPA and LTE) as well as long-range terrestrial links (e.g. LoraWAN) makes it possible to significantly extend the operation range of the remotely piloted UAV. This paper describes the development of a long-range communication solution for the UAV telemetry system. The proposed solution is based on (but not restricted to) cellular data transfer service and is implemented on Raspberry Pi under Gentoo Linux control. The goal of the project is to develop a flexible system for implementing optimized redundant network solutions for the Non-LOS remote control of the UAV

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