4 Contributo in Atti di Convegno (Proceeding)

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Plasmon Modes of Graphene-Disk at Dielectric Interface: Frequencies, Q-factors, Refractive Index Sensitivities, and Lasing Thresholds

We derive analytical formulas for the natural frequencies, Q-factors, refractive index sensitivities, figures of merit, and lasing thresholds of the plasmon modes of a circular graphene disk lying on the material interface. The complex conductivity of graphene is modeled using the Kubo formulas, and the radiation losses are neglected. Our findings reveal that the frequencies for the nanosize disks are in the infrared, while for the microsize disks they are in the terahertz range. The characte...

Plane-Wave Scattering from a Lossy Thin Dielectric Plate with a Finite-Size Inhomogeneity: Resonance Analysis by Means of a New Optical Theorem

In a recent paper by the authors, a new Optical Theorem formulation has been developed for the analysis of the absorption by a holed resistive plane illuminated by a plane wave. This paper is aimed at generalizing such an approach to studying the natural mode resonances of a lossy thin dielectric plane with a finite-size inhomogeneity.

An Ad-Hoc Networked Measurement Framework to Real-Time Monitoring of Neurodegenerative Diseases

Remote monitoring is crucial in different application fields and it becomes primary in case of healthcare issues. Neurodegenerative diseases, like Parkinson's disease, need to be constantly monitored to follow the pathology evolution and adapt the pharmacological treatments for the people suffering such a condition. Consequently, the availability of data concerning their state in daily life is helpful to prevent uninvestigated sudden worsening of health status and to promptly intervene in the...

ARTIFICIAL NEURAL NETWORK APPROACH TO PROVIDE FAILURE PRECURSORS IN JOINTED ROCK MASS AT THE ACUTO FIELD LAB

Purpose: Strain effects on jointed rock masses to the action of environmental (and specifically thermal) stressors, to be seen as preparatory factors of possible failures, is up today relevant topic in view of strategies for prediction of rock block instabilities. These strategies that can be implemented are among the most different, but when long monitoring time series are available, innovative machine learning represent useful tools to achieve this goal. For this purpose, data from the mult...

FIELD MONITORING OF HYDRAULIC SOIL CONDITIONS IN A LANDSLIDE-PRONE TERRACED SLOPE: INSIGHTS FROM MONTEROSSO AL MARE (ITALY)

Purpose: Shallow landslides due to heavy rainfall represent a common geological hazard that frequently interferes with the anthropic component of the environment, especially in mountainous and hilly regions. In recent years, the frequency of strong rainfall events has increased due to global climate changes amplifying their impact on the environment regarding landslides and other natural disasters. Thus, the importance of understanding cause-to-effect relations between the meteo-climatic stre...

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