Federico Rossi

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Cool roofs represent an acknowledged passive cooling technique to reduce building energy consumption for cooling and to mitigate urban heat island effects. This paper concerns the evaluation of the dynamic effect of new cool roof clay tiles on building thermal performance in summer and winter conditions. To this end, these properties have been analyzed on(More)
Retro-reflective (RR) pavements are an effective strategy for mitigating UHI. Directivity properties of RR samples are assessed by a new experimental facility. An analytical model is proposed to describe the optic-energy profiles of RR films. RR materials may be treated as common diffusive surfaces by a correction factor. The model may be used to evaluate(More)
  • Federico Rossi, Beatrice Castellani, Andrea Presciutti, Elena Morini, Mirko Filipponi, Andrea Nicolini +1 other
  • 2016
Retro-reflective (RR) materials are an effective strategy for mitigating UHI. Optical properties of RR materials are assessed by a new experimental facility. Angular distribution of reflected radiation is assessed during daytime. RR component is treated as a diffusely reflected radiation by a reduction factor. An algorithm evaluates the cooling potential of(More)
— The past decade has witnessed a rapidly growing interest in distributed algorithms for collective decision-making. For a large variety of settings algorithms are now known that either minimize time complexity (i.e., convergence time) or optimize communication complexity (i.e., number and size of exchanged messages). Yet, little attention has beed paid to(More)
– Nowadays packet classification is a fundamental task for network devices such as edge routers, firewalls and intrusion detection systems. Determining which flow packets belong to is important for many applications, and it is necessary, for example, to provide differentiated services, to detect anomalous traffic and to sort attack patterns. Therefore(More)
— In this paper we present a model predictive control (MPC) approach to optimize vehicle scheduling and routing in an autonomous mobility-on-demand (AMoD) system. In AMoD systems, robotic, self-driving vehicles transport customers within an urban environment and are coordinated to optimize service throughout the entire network. Specifically, we first(More)
Exopolysaccharides (EPSs) are an important class of biopolymers with great ecological importance. In natural environments, they are a common feature of microbial biofilms, where they play key protective and structural roles. As the primary colonizers of constrained environments, such as desert soils and lithic and exposed substrates, cyanobacteria are the(More)
The molecular identification of seven biofilm-forming cyanobacteria and the characterization of their exopolysaccharides were made and considered in terms of potential biotechnological applications. The studied strains were isolated from phototrophic biofilms taken from various Italian sites including a wastewater treatment plant, an eroded soil, and a(More)
— This paper studies fundamental limitations of performance for distributed decision-making in robotic networks. The class of decision-making problems we consider encompasses a number of prototypical problems such as average-based consensus as well as distributed optimization, leader election, majority voting on a limited number of options, MAX, MIN, and(More)
—This paper considers the problem of routing and rebalancing a shared fleet of autonomous (i.e., self-driving) vehicles providing on-demand mobility within a capacitated transportation network, where congestion might disrupt throughput. We model the problem within a network flow framework and show that under relatively mild assumptions the rebalancing(More)