1,721,110 research outputs found
Service Parameters Identification for Adaptive Networked Music Performance
No full textNetworked Music Performance (NMP) aims at revolutionizing musical interaction. NMP services need straight QoS (quality of service) requirements. So far, in best effort network, musicians adopt solution that try to reduce as much as possible the delay and jitter contributions under their control (i.e., at the peripheral part outside of the network). In this paper we will present a brief overview on NMP and some of its specific requirements that should be mapped on future networks able to provide adequate QoS performances such as the promised 'deterministic Internet' or proper slicing parametrization provided by 5G cellular networks and beyond. The aim of the paper is to presents an in-depth-study of latency issue in this domain underlining the most significant blocks that contribute to the overall end-to-end latency. The proposal presented in the paper is to identify control parameters useful to more flexibly smooth the network requirements, discussing about some possible practical implementations. Lastly, a low-cost measurement set-up is described, and some preliminary experimental results are shown
Strategies to reduce the risk of side wind induced accident on heavy truck
Full text linkVehicles, in particular high-sided lorries and trucks, can be at risk of wind-induced accidents such as overturning and/or side slip, especially on exposed sites such as embankments, viaducts and bridges. A first solution, lies in designing fences and a lateral shield to be placed both at the edges of the bridge and close to the tower, thereby shielding the vehicle from cross-wind. Nevertheless, it is also possible to optimize the aerodynamic response of the vehicle. In this work, several strategies were used and compared to optimized the aerodynamic response of the Heavy Good Vehicle (HGV) in crosswind: changing of the shape of the trailer, vortex Generators (VGs) installed on the leading edge of the trailer and passive devices installed along the sides/top of the trailer. Front-rear trailer devices, previously designed and patented by the author, positioned on the sides of the trailer reduced the overturning moment by about 8%. Steady state and time variant CFD simulations were used. The numerical models were validated with wind tunnel test. (C) 2019 Elsevier Ltd. All rights reserved
Dai principi alle pratiche. La sfida dell'applicazione delle raccomandazioni europee sull'etica dei veicoli autonomi
No full textFrom Principles to Practice. The Challenges of Applying the European Recommendations on the Ethics of Autonomous Vehicles
No full textSupplementation of dairy buffalo diet with calcium salts of long chain fatty acids: effect on milk yield and composition
No full textTraffico stradale su ponti di grande luce: interazione dinamica. Modello analitico e risultati sperimentali.
No full textTraffico stradale su ponti di grande luce: effetti dovuti all'interazione dinamica. Modello Analitico
No full textVehicle subsystems’ energy losses and model-based approach for fuel efficiency estimation towards an integrated optimisation
No full textImprovement of passenger cars’ energy efficiency has nowadays become crucial for automotive companies. Vehicle energy loss assessment requires experimental procedures; the process is time consuming and expensive, thus virtual methods have been increasingly employed during design process. Model-based approaches have been widely used in vehicle subsystems and components design, however current methodologies focus on specific areas while few attempts to cover the entire vehicle system have been proposed. In this paper vehicle subsystems energy losses are analysed through a comprehensive literature review, simple models are then presented to evaluate subsystems’ steady-state performances and efficiency. The different modules are then coupled to simulate the entire vehicle behaviour while facing different driving scenarios and allowing to assess fuel economy and to evaluate the effect of design variations and new technologies
MPC trajectory planner for autonomous driving solved by genetic algorithm technique
No full textFocusing on autonomous driving algorithm development, this paper proposes a novel real-time trajectory planner formulated as a Nonlinear Model Predictive Control (NMPC) algorithm. The mathematical formulation of the problem is deeply reported and discussed. The numerical solution of the NMPC problem is the result of a novel genetic algorithm strategy that represents the innovative aspect of the work proposed. The aim of this paper is also to show how genetic algorithm can be a valid approach for motion planning strategies. Numerical results are discussed through simulations that show a reasonable behaviour of the proposed strategy in the presence of moving obstacles as well as in a wide range of road friction conditions. Moreover, a real-time implementation for research purposes is assumed as possible by considering computational time analysis reported
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