Dynamic Consequence Analysis through Computational Fluid Dynamics Modeling

Consequence assessment in conventional quantitative risk assessment studies is carried out with simplified tools and conservative assumptions, leading to static worst-case representation of the magnitude associated with accidents. Computational fluid dynamic (CFD) models may constitute an advanced tool to analyze dynamic scenarios. CFD models may capture the interaction among the released hazardous substances and the geometry of the surrounding environment, thus allowing for detailed three-dimensional analysis in the presence of obstacles, bunds, and congested industrial layouts. In this chapter, relevant CFD consequence assessment studies are collected and discussed, highlighting the key features and advantages with respect to conventional model application. At the same time, possible limitations of CFD models are addressed, providing information for selection between integral models and CFD

Imaging Novecento. A Mobile App for Automatic Recognition of Artworks and Transfer of Artistic Styles

Imaging Novecento is a native mobile application that can be used to get insights on artworks in the “Museo Novecento” in Florence, IT. The App provides smart paradigms of interaction to ease the learning of the Italian art history of the 20 thth century. Imaging Novecento exploits automatic approaches and gamification techniques with recreational and educational purposes. Its main goal is to reduce the cognitive effort of users versus the complexity and the numerosity of artworks present in the museum. To achieve this the App provides automatic artwork recognition. It also uses gaming, in terms of a playful user interface which features state-of-the-art algorithms for artistic style transfer. Automated processes are exploited as a mean to attract visitors, approaching them to even lesser known aspects of the history of art