Prof. Dr. Fabio Leccese
Science Department, University of Rome, Roma Tre, Italy
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Academic Career Length
26Years (2001-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Giuseppe Schirripa SpagnoloLCLorenzo Cozzella
Lorenzo CozzellaFabio LecceseUnderwater Optical Wireless Communication (UOWC) is not a new idea, but it has recently attracted renewed interest since seawater presents a reduced absorption window for blue-green light. Due to its higher bandwidth, underwater optical wireless communications can support higher data rates at low latency levels compared to acoustic and RF counterparts. The paper is aimed at those who want to undertake studies on UOWC. It offers an overview on the current technologies and those potentially available soon. Particular attention has been given to offering a recent bibliography, especially on the use of single-photon receivers.
20 December 2012 in IEEE Transactions on Power Delivery
Journal Article
Fabio LecceseThe proposed remote-control system can optimize management and efficiency of street lighting systems. It uses ZigBee-based wireless devices which enable more efficient street lamp-system management, thanks to an advanced interface and control architecture. It uses a sensor combination to control and guarantee the desired system parameters; the information is transferred point by point using ZigBee transmitters and receivers and is sent to a control terminal used to check the state of the street lamps and to take appropriate measures in case of failure.
Journal Article
A smart city application has been realized and tested. It is a fully remote controlled isle of lamp posts based on new technologies. It has been designed and organized in different hierarchical layers, which perform local activities to physically control the lamp posts and transmit information with another for remote control. Locally, each lamp post uses an electronic card for management and a ZigBee tlc network transmits data to a central control unit, which manages the whole isle. The central unit is realized with a Raspberry-Pi control card due to its good computing performance at very low price. Finally, a WiMAX connection was tested and used to remotely control the smart grid, thus overcoming the distance limitations of commercial Wi-Fi networks. The isle has been realized and tested for some months in the field.
Journal Article
This paper focuses on the development of a new logistic approach based on reliability and maintenance assessment, with the final aim of establishing a more efficient interval for the maintenance activities for Unmanned Aerial Vehicles (UAV). In the first part, we develop an architectural philosophy to obtain a more detailed reliability evaluation; then, we study the intrinsic reliability at the design stage in order to avoid severe critical issues in the UAV. In the second part, we compare different maintenance philosophies for UAVs and develop the concepts of preventive and corrective maintenance that consider the system subjected (until real “hard failure”) to partial performance degradation (“soft failure”). Finally, by evaluation of the uncertainty through the confidence interval, we determine the new soft failure limits, taking into account the general knowledge of the systems and subsystems in order to guarantee the proper preventive maintenance interval.
4 December 2019 in Physical Review Letters
Journal Article
VCValeria cimini
Valeria ciminiIGIlaria Gianani
Ilaria GiananiNSNicolò Spagnolo
Nicolò SpagnoloFabio Leccese
Fabio SciarrinoMBMarco Barbieri
Marco BarbieriIntroducing quantum sensors as a solution to real world problems demands reliability and controllability outside of laboratory conditions. Producers and operators ought to be assumed to have limited resources readily available for calibration, and yet, they should be able to trust the devices. Neural networks are almost ubiquitous for similar tasks for classical sensors: here we show the applications of this technique to calibrating a quantum photonic sensor. This is based on a set of training data, collected only relying on the available probe states, hence reducing overhead. We found that covering finely the parameter space is key to achieving uncertainties close to their ultimate level. This technique has the potential to become the standard approach to calibrate quantum sensors.
1 April 2015 in Measurement
Journal Article
APAndrea Proietti
Andrea Proietti
Massimo PanellaFabio LecceseESEmiliano Svezia
Emiliano Svezia
About Me
Name: Fabio Leccese
Nationality: Italian.
Date of birth: November, 24, 1974. E-mail: leccese@uniroma3.it
- Electronic Engineering degree achieved in the December, 21, 2000 with vote 110/110.
- Ph.D in Electronic Engineering on November, 19, 2004.
- Assistant Professor in the field of Electric and Electronic Measurements from October 2006 up to now.
- Aggregate Professor in the field of Electric and Electronic Measurements since February 2010.
All at “Università degli Studi “ROMA TRE”
- Qualified as Associate Professor in the field of Electric and Electronic Measurements since March 2017.
Scientific Activity: since 2000 is engaged in the study and development of measurement chains development following the typical measuristic sensibility. Originally addressed for the Power Quality, the expertise has been then applied to other fields as Cultural Heritage, Aerospace, Food Quality analysis or addressed to harsh environments. More recently, the collaboration with some companies allowed the development of maintenance analysis (RAMS, FMECA, ILS) especially addressed to autonomous devices.
Didactic Activity: Since February 2004, he has held university courses mainly in the fields of electrical and electronic measurements but even in other sectors as informatics.
Supervisors of about 100 thesis between Bachelors and Master Degrees; he has been supervisor of 3 Ph.D. Students.
Projects: since 2012 has been PI or I of 13 between National and International Projects.