1,721,123 research outputs found
Barocco e Romanico nel castelnovese
Analisi e descrizione delle emergenze barocche e romaniche del territorio castelnovese dal punto di vista dell'architettura, della storia dell'arte e della stori
Analysis of an Electric Vehicle Charging System Along a Highway
To reduce carbon emission, the transportation sector evolves toward replacing internal combustion vehicles by electric vehicles (EV). However, the limited driving ranges of EVs, their long recharge duration and the need of appropriate charging infrastructures require smart strategies to optimize the charging stops during a long trip. These challenges have generated a new area of studies that were mainly directed to extend the classical Vehicle Routing Problem (VRP) to a fleet of commercial EVs. In this paper, we propose a different point of view, by considering the interaction of private EVs with the related infrastructure, focusing on a highway trip. We consider a highway where charging stations are scattered along the road, and are equipped with multiple chargers. Using Fluid Stochastic Petri Nets (FSPN), the paper compares different decision policies when to stop and recharge the battery to maximize the probability of a car to reach its destination and minimize the trip completion time
Esercitazioni 3D al computer e scenari simulati di medicina d'emergenza e delle catastrofi: il ruolo del fotorealismo
COVID-19 spatial diffusion: A markovian agent-based model
We applied a flexible modeling technique capable of representing dynamics of large populations interacting in space and time, namely Markovian Agents, to study the evolution of COVID-19 in Italy. Our purpose was to show that this modeling approach, that is based on mean field analysis models, provides good performances in describing the diffusion of phenomena, like COVID-19. The paper describes the application of this modeling approach to the Italian scenario and results are validated against real data available about the Italian official documentation of the diffusion of COVID-19. The model of each agent is organized similarly to what largely established in literature in the Susceptible-Infected-Recovered (SIR) family of approaches. Results match the main events taken by the Italian government and their effects
Evaluating defense services performance on military cloud continuum systems
A Battlefield Management System (BMS) is a tactical Command and Control system which supports military operations on the battlefield to provide a continuous and coherent representation of the state of a tactical scenario. The implementation of a BMS may benefit from the possibilities offered by Cloud Continuum technologies, while considering the security requirements when exploiting their infrastructure. Cloud Continuum may be used in place of the existing solutions, provided that proper performance evaluation techniques are available to assess its effectiveness and account for the impact of security constraints.In this paper we propose a modeling approach for a Battlefield Management System based on Cloud Continuum technologies and a performance evaluation framework to support its design and management before and during a mission
A Multiformalism-Based Model for Performance Evaluation of Green Data Centres
Although the coexistence of ARM and INTEL technologies in green data centres is technically feasible, significant challenges exist that must be addressed. These challenges stem from the differences in instruction sets and power consumption between the two processor architectures. While ARM processors are known for their energy efficiency, INTEL processors tend to consume more power. Consequently, evaluating the performance of hybrid architectures can be a complex task. The contributions of this article consist of (i) a multiformalism-based model of a data centre, providing a natural and convenient approach to the specification process and performance analysis of a realistic scenario and (ii) a review of the performance indices, including the choice of one architecture over another, power consumption, the response time, and request loss, according to different policies. As a result, the model aims to address issues such as system underutilization and the need to estimate the optimal workload balance, thereby providing an effective solution for evaluating the performance of hybrid hardware architectures
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