Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mattia Alessandro Ragolia"'
Autor:
Anna Maria Lucia Lanzolla, Filippo Attivissimo, Gianluca Percoco, Mattia Alessandro Ragolia, Gianni Stano, Attilio Di Nisio
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8607 (2022)
Additive manufacturing technologies allow the fabrication of smart objects, which are made up of a dielectric part and an embedded sensor able to give real-time feedback to the final user. This research presents the characterization of a low-cost 3D-
Externí odkaz:
https://doaj.org/article/993a7501bfcd4845b2e1e7e8ff6737f8
Autor:
Marco Scarpetta, Maurizio Spadavecchia, Francesco Adamo, Mattia Alessandro Ragolia, Nicola Giaquinto
Publikováno v:
Sensors, Vol 21, Iss 23, p 8032 (2021)
In this paper, a convolutional neural network for the detection and characterization of impedance discontinuity points in cables is presented. The neural network analyzes time-domain reflectometry signals and produces a set of estimated discontinuity
Externí odkaz:
https://doaj.org/article/a6f01b3fb0e940e78bc212e3d54eafd1
Autor:
Mattia Alessandro Ragolia, Anna M. L. Lanzolla, Gianluca Percoco, Gianni Stano, Attilio Di Nisio
Publikováno v:
Sensors, Vol 21, Iss 19, p 6324 (2021)
In this paper a new low-cost stretchable coplanar capacitive sensor for liquid level sensing is presented. It has been 3D-printed by employing commercial thermoplastic polyurethane (TPU) and conductive materials and using a fused filament fabrication
Externí odkaz:
https://doaj.org/article/0ff09a4bcf28465ebfaea01813277461
Autor:
Gregorio Andria, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Mattia Alessandro Ragolia
Publikováno v:
Sensors, Vol 20, Iss 4, p 961 (2020)
In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magneti
Externí odkaz:
https://doaj.org/article/9705623a3c6b4e34a1110d7cf8d9d377
Autor:
Attilio Di Nisio, Nicola Giaquinto, Anna Maria Lucia Lanzolla, Mattia Alessandro Ragolia, Marco Scarpetta, Sandro Carrara
Publikováno v:
IEEE Sensors Journal. 22:22404-22412
Ion-selective electrodes (ISEs) represent one of the main technologies for developing sensors to measure ions concentration in human tissues. All-solid-state ISEs are of key importance for sensor miniaturization, especially toward point-of-care appli
Publikováno v:
IEEE Sensors Journal. 21:14389-14396
Electromagnetic tracking systems (EMTSs) are widely used in surgical navigation, allowing to improve the outcome of diagnosis and surgical interventions in terms of shorter hospitalization times, reduction of wound pain and increased accuracy, by pro
Autor:
Gianni Stano, Attilio Di Nisio, Anna Maria Lanzolla, Mattia Alessandro Ragolia, Gianluca Percoco
A new manufacturing wave concerning the Additive Manufacturing of sensors is spreading: several benefits, such as cost, time, and manual task reduction, can be achieved. The aim of the present research is the one-shot Additive Manufacturing of a low-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::658862d887c660df3b57e7d489f7147a
https://hdl.handle.net/11589/244580
https://hdl.handle.net/11589/244580
Autor:
Anna Maria Lucia Lanzolla, Attilio Di Nisio, Gianluca Percoco, Mattia Alessandro Ragolia, Gianni Stano
In recent years, the exploitation of Additive Manufacturing technologies for the fabrication of different kinds of sensors has abruptly increased: in particular, a growing interest for extrusion-based techniques has emerged. This research proposes th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1e77715b524f9feb795e1ae89fc10c
https://doi.org/10.21203/rs.3.rs-875418/v1
https://doi.org/10.21203/rs.3.rs-875418/v1
Autor:
Gregorio Andria, Marco Scarpetta, Maurizio Spadavecchia, Nicola Giaquinto, Mattia Alessandro Ragolia
Publikováno v:
MeMeA
This paper explores the use of a common smartphone for measuring simultaneously both heartbeat intervals and respiratory cycles. The proposed technique uses the smartphone’s accelerometer to measure the seismocardiographic signal and the accelerati