Ricerc@Sapienza

A Cyber–Physical System (CPS) comprises physical as well as software subsystems. Simulation-
based approaches are typically used to support design and Verification and Validation (V&V)
of CPSs in several domains such as: aerospace, defence, automotive, smart grid and healthcare.
Accordingly, many simulation-based tools are available to support CPS design. This, on one
side, enables designers to choose the toolchain that best suits their needs, on the other side

Data interoperability refers to the issue of accessing and processing data from multiple sources in order to create more holistic and contextual information for improving data analysis, for better decision-making, and for accountability purposes. In the era towards a data-driven society, the notion of data interoperability is of paramount importance. Looking at the research work in the last decades, several types of data interoperability scenarios emerged, including the following.

This paper describes a novel biometric architecture to implement unsupervised face recognition across varying demographics. The present proposal deals with ethnicity, gender and age, but the same strategy can be crafted for any mix of soft/hard biometrics, sensors, and/or methods. Our aim is not to explicitly distinguish demographic features of a subject (e.g., male vs. female). We rather aim at implicitly exploiting such information to improve the accuracy of subject identification. The role demographics plays in authentication has been reported by many recent studies.