Giuseppe Ferri

Prof. Giuseppe Ferri

orcid

Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 1997 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
Corrado Di NataleCorrado Di Natale
Corrado Di Natale
Antonella MacagnanoAntonella Macagnano
Antonella Macagnano
FDF Davide
F Davide
ADA D'AMico
A D'AMico
Roberto PaolesseRoberto Paolesse
Roberto Paolesse
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri

1 May 1996 in Analytica Chimica Acta
Verified
Journal Article
Closed access
JBJ.A.J. Brunink
J.A.J. Brunink
Corrado Di NataleCorrado Di Natale
Corrado Di Natale
FBF. Bungaro
F. Bungaro
FDF.A.M. Davide
F.A.M. Davide
ADA. D'Amico
A. D'Amico
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri

4 September 2018 in IEEE Transactions on Circuits and Systems II: Express Briefs
Verified
Journal Article
Closed access
LSLeila Safari
Leila Safari
Gianluca BarileGianluca Barile
Gianluca Barile
Vincenzo StornelliVincenzo Stornelli
Vincenzo Stornelli
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri
This work presents a comprehensive study on a particular kind of conveyor called second-generation voltage conveyor (VCII). This building block is based on voltage conveying concept and is the dual of second generation current conveyor (CCII). It is shown that VCII is a very useful block in those configurations where CCII is limited, in terms of number of active blocks. The results of this study are helpful in choosing the best building block between CCII and VCII for each specific application. Finally, for the first time, the CMOS implementation of VCII is also presented. Simulation results with PSPICE using 0.35μm CMOS technology and supply voltage of ±1.65V are given to approve the theory.

30 January 2007 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
Christian FalconiChristian Falconi
Christian Falconi
EME Martinelli
E Martinelli
Corrado Di NataleCorrado Di Natale
Corrado Di Natale
ADA Damico
A Damico
FMF Maloberti
F Maloberti
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri

17 February 2010 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
ADA. D’aMico
A. D’aMico
Andrea De MarcellisAndrea De Marcellis
Andrea De Marcellis
CCC. Di Carlo
C. Di Carlo
Corrado Di NataleCorrado Di Natale
Corrado Di Natale
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri
Vincenzo StornelliVincenzo Stornelli
Vincenzo Stornelli

31 August 2020 in Sensors
Verified
Journal Article
Open access
PDF file
MMMirco Muttillo
Mirco Muttillo
Vincenzo StornelliVincenzo Stornelli
Vincenzo Stornelli
RARocco Alaggio
Rocco Alaggio
RPROMINA PAOLUCCI
ROMINA PAOLUCCI
LBLuca Di Battista
Luca Di Battista
Giuseppe FerriGiuseppe Ferri
Giuseppe Ferri
In the last decades, the applications of structural monitoring are moving toward the field of civil engineering and infrastructures. Nevertheless, if the structures have damages, it does not mean that they have a complete loss of functionality, but rather that the system is no longer in an optimal condition so that, if the damage increases, the structure can collapse. Structural Health Monitoring (SHM), a process for the identification of damage, periodically collects data from suitable sensors that allow to characterize the damage and establishes the health status of the structure. Therefore, this monitoring will provide information on the structure condition, mostly about its integrity, in a short time, and, for infrastructures and civil structures, it is necessary to assess performance and health status. The aim of this work is to design an Internet of Things (IoT) system for Structural Health Monitoring to find possible damages and to see how the structure behaves over time. For this purpose, a customized datalogger and nodes have been designed. The datalogger is able to acquire the data coming from the nodes through RS485 communication and synchronize acquisitions. Furthermore, it has an internal memory to allow for the post-processing of the collected data. The nodes are composed of a digital triaxial accelerometer, a general-purpose microcontroller, and an external memory for storage measures. The microcontroller communicates with an accelerometer, acquires values, and then saves them in the memory. The system has been characterized and the damage indicator has been evaluated on a testing structure. Experimental results show that the estimated damage indicator increases when the structure is perturbed. In the present work, the damage indicator increased by a maximum value of 24.65 when the structure is perturbed by a 2.5 mm engraving.