Air transport is one of the keys to the economic development and stability of a country. The emergence of this sector in a State depends on the radio resources implemented to ensure the safe and rapid flow of air traffic, but above all to guarantee the safety and efficiency of air navigation. It is with this in mind that the International Civil Aviation Organization «ICAO» recommends that all State bodies responsible for providing air services within the airspace of Contracting States meet the requirements of the Management of the Air Space «ATM» and the Communication, Navigation and Surveillance system in a structured approach to the effective implementation of the system called CNS/ATM. It is in this context that we subscribe to our study which aims to contribute to the process of implementation of the CNS/ATM plan by the Régie des Voies Aériennes in the airspace of the Democratic Republic of Congo. It emerges from this ICAO recommendation that our country continues to show some shortcomings, particularly in the area of full surveillance of its airspace. Thus, we are working on experimenting with radar systems for full, reliable and optimal surveillance of the country’s airspace. We have associated the current ADS-B surveillance system with other surveillance systems, primary radar «PSR» and secondary radar «SSR» to cover all regions of the airspace, and thanks to the multi-sensor function of the TOPSKY airspace surveillance, security and visualization system all surveillance data from these different systems will be merged.

In many countries, non-technical losses and theft of electricity are serious problems for electricity companies. The development of cost-effective algorithms to deal with these types of non-technical losses aims to reduce trading losses. This article presents a strategy for detecting non-technical losses using an arduino UNO control board that establishes a reliable region to monitor the measured variance and a practical scheme for determining and reducing non-technical losses in the electrical network by detecting the suspicious area where incorrect meter readings and electricity thefts occur. After the detection of the non-technical losses, a path finding procedure based on different algorithms is able to locate the consumption point with the non-technical loss. In addition, an information system application displays the targeted consumption point. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for the monitoring of a real distribution network.