4 - Contributo in atti di convegno (Proceedings)

4 - Contributo in atti di convegno (Proceedings): [40462] Home page macrotipologia

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4a - Articolo in atti di congresso 29594
4b - Riassunto in atti di congresso 10868

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L’Archivio della Lessicografia dell’Otto-Novecento (ALON): organizzazione del portale, schedatura e valorizzazione

Il contributo è dedicato alla presentazione del progetto PRIN 2022 ALON - Archivio della lessicografia dell’Otto-Novecento, il cui principale obiettivo è la realizzazione di un portale informatico ad accesso libero interamente dedicato allo studio, alla documentazione e alla valorizzazione del patrimonio lessicografico italiano dei secoli XIX e XX. Nella prima parte sono descritti struttura e contenuti delle schede che andranno a costituire la nella Banca dati ALON; nella seconda parte è inve...

High-resolution monitoring of social interactions in dairy cows using a prototype Ultra-Wideband system

Social interactions significantly influence the welfare, health, and productivity of dairy cows. In intensive housing, sociality encompasses a spectrum of behaviours, from proximity and physical contact to nonphysical cues such as avoidance. The ability to detect these types of behaviour is crucial for enabling automated systems for welfare evaluation, productivity optimisation, and early-stage disease detection [1]. Indoor tracking of individual animals poses unique challenges due to line-of...

Low-cost drone system for monitoring ammonia and GHG emissions in dairy barns: a case study in southern Italy

Bottom-up approaches for estimating greenhouse gas and ammonia (NH3) emissions from livestock farms require gas concentration measurements at the farm level. A major limit to their applicability across diverse farming and environmental contexts is the reliance on high-cost standard instruments, with several operational limitations [1]. This study aimed to validate a prototype low-cost sensing system for ground and aerial measurements, designed to monitor concentrations and estimate NH3 and CO...

MULTI-OBJECTIVE DEVELOPMENT OF MACHINE-LEARNT CLOSURES FOR FULLY INTEGRATED TRANSITION AND WAKE MIXING PREDICTIONS IN LOW PRESSURE TURBINES

In low pressure turbines (LPT), due to the low Reynolds number a large part of the blade boundary layer remains laminar and transition may occur due to flow separation. The boundary layer details at the blade trailing edge can change substantially depending on the transition region topology and can strongly influence the wake mixing occurring downstream. Accurately predicting these flow phenomena still poses a challenge for Reynolds averaged Navier-Stokes (RANS) and unsteady RANS methods. In ...

Integration of machine learning and computational fluid dynamics to develop turbulence models for improved turbine wake mixing prediction

This paper presents development of accurate turbulence closures for wake mixing prediction by integrating a machine-learning approach with Reynolds Averaged Navier-Stokes (RANS)-based computational fluid dynamics (CFD). The data-driven modeling framework is based on the gene expression programming (GEP) approach previously shown to generate non-linear RANS models with good accuracy. To further improve the performance and robustness of the data-driven closures, here we exploit that GEP produce...

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