Italian Aerospace Research Centre

About: Italian Aerospace Research Centre is a other organization based out in Capua, Campania, Italy. It is known for research contribution in the topics: Aerodynamics & Morphing. The organization has 278 authors who have published 400 publications receiving 3563 citations. The organization is also known as: CIRA & Italian Aerospace Research Center.

Unsupervised post-fire assessment of burned areas with free and open multispectral data using OBIA

Abstract: "This paper presents a new usupervised workflow to assess the extension of the burning damages due to wild fire events. The workflow make use of open access medium and high resolution multispectral images from the Landsat-8 and Sentinel-2 satellites, together with open access low resolution products provided by the MODIS and the VIIRS missions.In particular, the proposed workflow considers strong variations in the Normalized Difference Vegetation Index (NDVI) between two observation dates in order to detect burning damages. The changes in NDVI not related to the wildfire effects are filtered thanks to the MODIS and VIIRS hotspot detections occurred during the same observation period. To this aim, an Object-Based Image Analysis (OBIA) approach is employed. In fact, the proposed false positive filtering method is based on object features such as {\it 'overlaps with'} and {\it 'distance to'} detected hotspots. Experimental results on the Vesuvius, Southern Italy, wildfires of July 2017, show the effectiveness of the proposed method."

Historical Data Analysis and Modelling for Drone Intrusions in Airports

Abstract: Airport operations are particularly susceptible to unauthorized drone intrusions and an increasing of the awareness is required in regard to this phenomenon. This work describes a quantitative assessment of the historical features of drone intrusions in airports, by using different public databases with reports about real sightings. The available features are modelled in terms of probability distributions. Also, a risk classification model is proposed by means of supervised machine learning. Lastly, a preliminary analysis is provided for the definition of an Airport Vulnerability Index with respect to drone intrusions.

Passive-active noise control of an acoustic duct

Abstract: In the recent years, noise control has become a significant factor in the design of automotive and aircraft industries. In general, methods of the passive noise control are practical and most effective at mid and high frequencies. On the other hand, active noise control techniques are more efficient at the low frequency range. Combined solutions seem to be the most appropriate key to cover the whole frequency range of frequencies. In the present study, a description of simulations for both feedback structural and acoustical structural control strategies are illustrated in order to maximize the damping within an acoustic duct by applying a passive foam layer bonded to an ``active'' surface.