Ricerc@Sapienza

n this paper we present an interesting application of the Decision Support System, known as the OCC_System, designed for faults recognition and classification within the real-world Medium Voltage power grid of Rome, Italy, managed by the Azienda Comunale Energia e Ambiente (ACEA) company. Given a historical data set consisting of fault patterns described by heterogeneous features related to endogenous and exogenous factors, the recognition system is trained to classify fault states assigning them a probability of fault.

This research is part of multilingual interdisciplinary research. It is a case study, synchronic and qualitative, whose central theme is the vulnerability of migrants. We proposed to examine the relational nature of this vulnerability using a trilingual corpus: French, Italian and Spanish. To do this, we have chosen the institutional discourse of national and international NGOs and operational humanitarian NGOs, about the political and humanitarian crisis that accompanied the arrival of the humanitarian ship Aquarius, responsible for survivors in June 2018.

The complex system of road infrastructures of a country plays a fundamental role both on the economy and on the development of the territory and on the management of accident scenarios that occur as a result of natural disasters. It is therefore essential to assess the vulnerability of the infrastructural network to natural and man-made risk factors in order to identify any critical issues and plan improvements and upgrades to the infrastructure.

Transport infrastructures are lifelines: They provide transportation of people and goods, in ordinary and emergency conditions, thus they should be resilient to increasing natural disasters and hazards. This work presents several technologies adopted around the world to adapt and defend transport infrastructures against effects of climate change. Three main climate change challenges have been examined: Air temperatures variability and extremization, water bombs, and sea level rise.