Ricerc@Sapienza

Nondestructive techniques to measure dielectric properties of aqueous samples have become a crucial research topic for their impact on emerging biomedical applications. Accurate modeling of the dielectric behavior of biological tissues is fundamental to properly assess biomedical microwave imaging techniques. But it is also highly demanded to enable more reliable pretreatment planning for therapeutic technologies using electromagnetic fields such as hyperthermia and thermal ablation.

Hyperthermia is a therapeutic technique used to enhance the efficacy of radiotherapy and chemotherapy in the treatment of oncological pathologies, by way of a temperature increase of 41–43°C in the target region. To validate hyperthermia devices, as well as the numerical codes used to simulate hyperthermia treatments, simple phantoms are used. This article considers the influence of phantoms’ geometry, dimensions, and considered organs, on the electromagnetic power absorption.

Medical applications of electromagnetic fields are emerging as new options for diagnosis and therapy of several diseases. Examples are microwave (MW) resonance imaging, ultrawideband (UWB) radars for the detection and monitoring of the respiratory or cardiac activities, thermal therapies for the minimally invasive treatment of tumors.

A general numerical method for calculating the time-domain characteristics of the electromagnetic field generated by a pulsed dipole in the presence of a planar multilayered screen is presented. The method involves the efficient evaluation of classical Sommerfeld integrals and an inverse Fourier transform to recover the time-domain field from the frequency-domain field. For sufficiently thin screens with highly conductive properties, an analytical method, based on a modified Cagniard–de Hoop approach, is also presented to validate the results.

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Progress in MEMS technology continuously stimulates new developments in the mechanical structure of micro systems, such as, for example, the concept of so-called CSFH (conjugate surfaces flexural hinge), which makes it possible, simultaneously, to minimize the internal stresses and to increase motion range and robustness. Such a hinge may be actuated by means of a rotary comb-drive, provided that a proper set of simulations and tests are capable to assess its feasibility.

Multiple packet reception (MPR) is becoming a viable reality for wireless random access protocols thanks to advances in the physical layer and new coding techniques. In the simplest $K$ -MPR model, a receiver can resolve up to $K\geq 1$ parallel transmissions. We extend the classical analysis of pure and slotted ALOHA to $K$ -MPR devices with arbitrary degree $K$ for fixed and variable packet size. Through a parsimonious modeling approach, we derive relatively simple analytical expressions.

The internal inspection of large pipeline infrastructures, such as sewers and waterworks, is a fundamental task for the prevention of possible failures. In particular, visual inspection is typically performed by human operators on the basis of video sequences either acquired on-line or recorded for further off-line analysis. In this work, we propose a vision-based software approach to assist the human operator by conveniently showing the acquired data and by automatically detecting and highlighting the pipeline sections where relevant anomalies could occur.

We present here an IoT-based platform that provides an integrated solution for real-time monitoring and management of educational buildings at a national scale. The proposed system follows the Fog Computing paradigm so that sensor data processing takes place at the edge devices of the network. In this way, the system significantly reduces the network traffic across the network core layers. The architecture and implementation of the system are presented in details in relation to existing use-case scenaria.