Nicola Pasquino

University of Naples Federico II

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Carmine Landi

University of Campania "Luigi Vanvitelli"

Rosario Schiano Lo Moriello

University of Naples Federico II

Sara Adda

Agenzia Regionale per la Protezione Ambientale

Stefania Zinno

University of Naples Federico II

Daniele Gallo

University of Campania "Luigi Vanvitelli"

Annalisa Liccardo

University of Naples Federico II

D. Franci

Agenzia Regionale per la Protezione dell’Ambiente Ligure

Settimio Pavoncello

Agenzia Regionale per la Protezione dell’Ambiente Ligure

Andrea Mariscotti

University of Genoa

Attilio Marrese

University of Naples Federico II

Cooperative Institutions

University of Naples Federico II

104

Ingegneria dei Trasporti (Italy)

University of Salerno

Federico II University Hospital

Istituto Nazionale di Fisica Nucleare, Sezione di Napoli

Sapienza University of Rome

Consorzio Nazionale Interuniversitario per le Telecomunicazioni

Engineering (Italy)

Polytechnic University of Turin

National Research Council

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Forecast of the performances of manufacturing systems with models based on fuzzy logic

Fabrizia Caiazzo Nicola Pasquino Vincenzo Sergi B. Spiezio

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Citations (0)

How 5G NR Signals Impact on the Response of Broadband Electric Field Probes

IEEE Transactions on Instrumentation and Measurement (2022)

Sara Adda L. Anglesio Federica Bogo Nicola Pasquino S. Trinchero

New-generation mobile communication systems like long term evolution (LTE) and 5G new radio (NR) use digitally modulated signals with relevant peak-to-average power ratios that may shift the working point of diode-based wideband electric field probes, resulting in an overestimation of the field strength. This article presents a methodology to study the behavior of probes by comparing the readings of 5G signals to those obtained under continuous wave (CW) radiation. Dependence on various signal parameters like center frequency, modulation complexity, time/frequency duplex configuration, signal bandwidth, and orthogonal frequency-division multiplexing (OFDM) subcarrier spacing has been assessed experimentally by making use of test models designed by 3rd generation partnership project (3GPP). Results show that overestimation can be as large as several tens of percent and that it is greater for full-frame and larger bandwidth signals and that, therefore, calibration standards must be extended to consider the different behavior of probes with 5G and CW signals.

Wideband

Modulation (music)

Center frequency

10.1109/tim.2022.3227979

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Citations (3)

Estimation of Vehicle Longitudinal Velocity with Artificial Neural Network

Sensors (2022)

Guido Napolitano Dell’Annunziata Vincenzo Maria Arricale Flavio Farroni Andrea Genovese Nicola Pasquino

Vehicle dynamics control systems have a fundamental role in smart and autonomous mobility, where one of the most crucial aspects is the vehicle body velocity estimation. In this paper, the problem of a correct evaluation of the vehicle longitudinal velocity for dynamic control applications is approached using a neural networks technique employing a set of measured samples referring to signals usually available on-board, such as longitudinal and lateral acceleration, steering angle, yaw rate and linear wheel speed. Experiments were run on four professional driving circuits with very different characteristics, and the vehicle longitudinal velocity was estimated with different neural network training policies and validated through comparison with the measurements of the one acquired at the vehicle's center of gravity, provided by an optical Correvit sensor, which serves as the reference (and, therefore, exact) velocity values. The results obtained with the proposed methodology are in good agreement with the reference values in almost all tested conditions, covering both the linear and the nonlinear behavior of the car, proving that artificial neural networks can be efficiently employed onboard, thereby enriching the standard set of control and safety-related electronics.

Yaw

10.3390/s22239516

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Citations (16)

Ontology for E-Business: a Semantic MultiLevel Approach

Francesco Colace Nicola Pasquino P. Senatore

A crucial aspect for the e-business realm is that of finding and focusing on potentially new market segments, and managing relationships with customers (CRM, customer relationship management). To capture and understand customer needs effectively and subsequently transfer them into design specifications-product definition-is one of the essential premises for successful product design in today's competitive global market. The main idea described in this paper is to combine business management research in the domain of business models with more technical and conceptual research in the domain of computer science, particularly ontologies. Un this paper we propose the use of the rigor, precision, more complete descriptions (e.g. constraints and rules) and reasoning of ontology to the concept of business models and, more in particular, for the products and their functionalities descriptions. The formalization of business model ontology provides the conceptual foundation for new methods and computer-based tools for such diverse fields. In particular this paper proposes a multilevel ontological approach in order to describe products both from the point of view of their components both from the point of view of their functionalities. In this way users can choose products using semantic queries.

Business domain

10.1109/ictta.2008.4529989

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Citations (3)

Assessing Agile Spectrum Management for Cognitive Radar on Measured Data

IEEE Aerospace and Electronic Systems Magazine (2020)

Vincenzo Carotenuto Augusto Aubry Antonio De Maio Nicola Pasquino A. Farina

Radar operation in a spectrally dense environment is nowadays a very challenging problem due to the increasing demand of spectral resources for defence/surveillance applications, remote sensing capabilities, and civilian wireless services. This article explores the technical feasibility of radar waveforms capable of ensuring spectral coexistence with overlaid emitters via a modern digital arbitrary waveform generator. To this end, a specific hardware-in-the-loop test bed is designed to mimic the perception-action cycle necessary for the agile management of the radio spectrum. Then, a spectrum analyzer (SA) and a digital oscilloscope (DO) are used to demonstrate the compliance of the synthesized waveforms with the theoretical counterparts. In particular, the SA is used to establish if the synthesized waveforms fulfil the spectral requirements forced at the design stage. The DO, instead, is used to assess the adherence of synthesized signals ambiguity function (AF) with the theoretical one. For the considered case studies, results highlight that the synthesized waveforms enable spectral compatibility between radar and communication systems and exhibit desirable AF properties.

Ambiguity function

Arbitrary waveform generator

Function generator

10.1109/maes.2019.2960904

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Citations (18)

Time-Series-Based Model and Validation for Prediction of Exposure to Wideband Radio Frequency Electromagnetic Radiation

IEEE Transactions on Instrumentation and Measurement (2019)

Pietro De Lellis Francesco Lo Iudice Nicola Pasquino

Strength of wideband electromagnetic radiations (EMRs) generated by telecommunication systems is a time-varying process typically characterized by a seasonal behavior due to daily and weekly variations of traffic in mobile networks summed to a stationary background generated by constant-power broadcasting systems. Besides a few papers showing the existence of peak and off-peak hours in the daily exposure, there is a significant lack of scientific literature investigating how exposure changes over time, although this is key to the three main objectives: 1) to determine the time intervals when exposure levels are expected to be the highest, 2) to assess worst case exposure and ensure that measurements are run in a conservative scenario to comply with limits enforced by national laws and European guidelines, and 3) to highlight variations in traffic to allocate network resources dynamically to optimize performance. We present a time-series analysis model that makes use of measured data to build a predictor of the exposure to wideband EMR. The main result is that exposure can be predicted by a model composed of three components capturing the average exposure, the daily and half-daily periodicity (seasonal behavior), and the correlations among residuals [modeled by an AR(2) for weekdays and Sunday, and by an AR(1) for Saturday, respectively]. We observed the strength of the periodic components differs more on weekdays compared to weekends. The forecasting model can be particularly useful to predict when exposure is expected to be the highest during the day, so that measurements carried out at that time will be conservative with respect to measurements run at other times of the day, and will therefore serve as the worst case for the assessment of compliance with exposure limits.

Wideband

10.1109/tim.2019.2927649

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Citations (13)

Assessment of Population Exposure to Electromagnetic Fields Due to Systems That Implement Dynamic Spectrum Sharing Between 4G and 5G: Definition of Methods and On-Site Measurements

Sara Adda Tommaso Aureli Tiziana Cassano D. Franci Marco Donald Migliore

Dynamic Spectrum Sharing (DSS) is a technique that allows different systems, namely 4G LTE and 5G NR, to coexist in the same frame. It is a smart solution for the rapid deployment of the new mobile system over the existing network while building the new dedicated infrastructure. Interleaving of different protocols within the same frame, however, requires that maximum-power extrapolation techniques that have already been validated for 4G and are still under development for 5G are checked for correctness of results when applied to the new transmission scenario.This paper investigates this topic through an experimental approach in different sites where different DSS systems were implemented. Results show that the same tools and methods already developed for LTE signals can be used to estimate maximum exposure levels by DSS systems and that the implementation of DSS does not affect exposure significantly. Moreover, it was also verified that methods for measuring 5G NR signals available in the literature can be applied to DSS signals, obtaining exposure estimates that are fully compatible with those obtained with the methods developed for LTE.

Interleaving

10.1109/metrolivenv54405.2022.9826981

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Citations (2)

Smartphone-based drive-test methodology for the experimental characterisation of the physical layer and a performance assessment of LTE networks in urban environments

ACTA IMEKO (2019)

Stefano Avallone Nicola Pasquino Giorgio Ventre Stefania Zinno

Long-term evolution (LTE) architecture has recently been enhanced by means of the introduction of multi-antenna systems that make use of multiple input multiple output (MIMO) technology, both at the base transceiver station (eNodeB) and user equipment (UE). MIMO can deploy transmission diversity to achieve more robust transmission in poor propagation conditions and spatial multiplexing to increase throughput and thus LTE performance from an end-user perspective. The most recent version of the standard (Release 10) makes up to eight antennae available for the downlink transmission channel. The paper focuses on the most relevant physical-layer parameters used by LTE to optimise a MIMO system. Performance at different frequencies and bandwidths is investigated over a wide urban area in order to study the network behaviour in actual propagation conditions and to verify whether standard prescriptions are satisfied by a fully operational LTE mobile communication system.

EnodeB

LTE Advanced

Spatial multiplexing

10.21014/acta_imeko.v8i2.627

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Citations (3)

Design of a Machine Learning Approach to Anomaly Detection in Tyre-Road Interaction

IEEE Access (2025)

Aleksandr Sakhnevych Nicola Pasquino Giancarlo Sperlì

Anomaly (physics)

10.1109/access.2025.3539923

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Exposure to 50 Hz electromagnetic field raises the levels of the anti‐apoptotic protein BAG3 in melanoma cells

Journal of Cellular Physiology (2011)

Anna Basile Rosario Zeppa Nicola Pasquino Claudio Arra Massimo Ammirante

The expression of the anti-apoptotic protein BAG3 is induced in several cell types by exposure to high temperature, oxidants, and other stressful agents. We investigated whether exposure to 50 Hz electromagnetic fields raised BAG3 levels in the human melanoma cell line M14, in vitro and in orthotopic xenografts. Exposure of cultured cells or xenografts for 6 h or 4 weeks, respectively, produced a significant (P < 0.01) increase in BAG3 protein amounts. Interestingly, at the same times, we could not detect any significant variation in the levels of HSP70/72 protein or cell apoptosis. These results confirm the stressful effect of exposure to ELF in human cells, by identifying BAG3 protein as a marker of ELF-induced stress. Furthermore, they suggest that BAG3 induction by ELF may contribute to melanoma cell survival and/or resistance to therapy.

BAG3

10.1002/jcp.22641

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Citations (30)