4 Contributo in Atti di Convegno (Proceeding)

4 Contributo in Atti di Convegno (Proceeding): [45583] Home page macrotipologia

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4.1 Contributo in Atti di convegno 41842
4.2 Abstract in Atti di convegno 2955
4.3 Poster 786

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Equivalent skin effect model for time-domain analysis starting from electromagnetic simulator values

An equivalent circuit to reproduce the skin effect behavior in an arbitrary structure modeled as resistance-inductance has been developed modifying the Foster model. Taking the values of inductance and resistance in the frequency domain directly from electromagnetic analysis obtained by commercial software, the proposed model allows to implement an equivalent circuit that can be used with time-domain simulator. The developed circuit is very simple, thus reducing the computational times with r...

Structural foamed concrete: preliminary studies for applications in seismic areas

The experimental research presented in this contribution highlights the possibility of producing foamed concretes with target dry densities of 1550±50 kg/m3 and 1750±50 kg/m3 for the use in structural applications, thanks to compressive strengths greater than 25 MPa. The lower structural weight compared with ordinary concrete suggests the idea of using this material in seismic areas to exploit its advantages in relation to inertial forces. However, the reduced elastic modulus compared with...

Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System

Research in the development of neuroprostheses aims to restore the loss bodily and motor functionalities. In order to have effective solutions, the physiological signals used to control neuroprostheses must be first measured and then properly reconstructed. Miniaturized electronic enables the realization of implantable devices suitable for the treatment of pathologies that cannot be cured with conventional medicine. However, given the limited data processing and transmission capabilities of m...

Caratterizzazione granulometrica e mineralogica di materiale di scavo tramite immagini RGB e iperspettrali

Lo scavo di gallerie per la realizzazione di infrastrutture comporta la produzione di milioni di tonnellate di materiale di scavo: per ridurne l’impatto ambientale, è possibile reimpiegare il marino come aggregato per calcestruzzi strutturali, verificandone l’adeguatezza della composizione attraverso l’identificazione di minerali non idonei. In questo contesto, l'uso di sensori e algoritmi innovativi (camere iperspettrali e tecniche di Machine Learning) può portare all’individuazione di met...

Collaborative Visual Place Recognition through Federated Learning

Visual Place Recognition (VPR) aims to estimate the location of an image by treating it as a retrieval problem. VPR uses a database of geo-tagged images and leverages deep neural networks to extract a global representation, called descriptor, from each image. While the training data for VPR models often originates from diverse, geographically scattered sources (geo-tagged images), the training process itself is typically assumed to be centralized. This research revisits the task of VPR throug...

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