This paper presents the result of an investigation how Unmanned Aviation Systems were applied in the first half of 2020 in response to the coronavirus COVID-19 challenges. The application cases collected and referenced in this paper are pandemic specific only even though many of them may be considered as typical. An important discovery was that the majority of limitations preventing the high spread of UAS applications are not technological. Nevertheless, innovative technologies, application cases and services that have originated during the pandemic period are expected to evolve and adapt to other situations and shape the future markets.

Abstract-The mobile-devices assisted healthcare and medical applications are expected to create the next breakthrough in demand for smartphones and mobile services. In the last decades we witnesses aging of populations and fast growth of healthcare related expenses. This leads to growth of demand for inexpensive and efficient health monitoring solutions. Mobile phone is the best positioned candidate device for managing aggregation and preliminary analysis of personal data, including information about health and physical activities. Because of that the idea of personal assistant device for health monitoring and early diagnostics of diseases is getting more and more popular. This paper discusses the main currently developed use cases and top trends in development of mobile healthcare use scenarios. In our studies we reviewed and analyzed broad variety of mHealth use cases, i.e., starting from monitors of the most relevant health parameters and updates personal medical record (e.g., blood pressure, ECG, breath activity, etc.), to advanced cloud systems that performs personalized diagnostics and recommendations on healthy behavior and individual medical smart systems that perform advance diagnostic of user's health and modeling of potential trends and negative developments.Index Terms-mobile healthcare, mHealth use cases, health information management, human computer interaction, medical information systems, smart systems.

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In this paper a collection of technical solutions and results of simulation, supporting the concept of management a small group of unmanned aerial vehicles such as drones, are presented. The focus is given on collision avoiding and communications. The anti-collision system utilises the drone camera and is built on the Robot Operating System using the Histogram of Oriented Gradients and the Support Vector Machine. The proposed inter-drone communication employs ZigBee for system management and telecommunication networks for data exchange and teleoperations.