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Università degli Studi di Genova – DITEN Genova, Italy
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- PublicationOpen AccessBuilding the synthetic “Mac System”: an analytical integration of magnetic and acoustic subsystems for port protection scenarios.(2009-06-09)
; ; ; ; ; ; ; ; ; ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Zunino, R.; Defence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy ;Leoncini, D.; Defence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy ;Di Gennaro, E.; Italian Navy; Naval Logistic Inspectorate, Piazza della Marina 4, 00196 Roma, Italy ;Gabellone, A.; Italian Navy, CSSN ITE “G. Vallauri”, Viale Italia 72, 57127 Livorno, Italy ;Maggiani, P. V.; Italian Navy, COMFORDRAG, Viale Giovanni Amendola 1, 19122 La Spezia, Italy ;Falcucci, V.; WASS, Via di Levante 48, 57124 Livorno, Italy ;Michelizza, E.; WASS, Via di Levante 48, 57124 Livorno, Italy; ; ; ; ; ; ; ; In order to obtain a preliminary overview on the effectiveness of the underwater anti-divers magnetic-acoustic “MAC System”, we have developed a synthesis between the results coming out from the two different subsystems (magnetic and acoustic), based on two different models, during two different test sections. The section covered by the magnetic component, measured near the NURC dock (La Spezia, Italy) in very noisy port condition, has been remodeled on the sea bottom profile of the access channel to the Italian Navy Base in La Spezia, which presents environmental electromagnetic noise compatible with the NURC’s one. In this entrance way has been executed an acoustic port protection experiment, too. The two different covered sections (magnetic and acoustic) have been merged to obtain an integrated synthetic model of the accuracy of the MAC System. The results have pointed out a remarkable increase of the antidivers covering effectiveness, in particular in the boundary zone of the access way to be protected: the confidence of the MAC System can be considered quite 1 and higher in respect to the sum of the confidence of the two subsystems.253 4667 - PublicationOpen AccessComputational Intelligence Methods for Underwater Magnetic-based Protection Systems(2011-07-31)
; ; ; ; ; ; ;Decherchi, S.; Dept. Drug Discovery and Development- Italian Institute of Technology, Morego, Genova, Italy ;Leoncini, D.; Dept. Biophysical and Electronic Eng., University of Genoa, Genova, ITALY ;Gastaldo, P.; Dept. Biophysical and Electronic Eng., University of Genoa, Genova, ITALY ;Zunino, R.; Dept. Biophysical and Electronic Eng., University of Genoa, Genova, ITALY ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia; ; ; ; ; Magnetic-based detection technologies for undersea protection systems are very effective in monitoring critical areas where weak signal sources are difficult to identify (e.g. diver intrusion in proximity of the seafloor). The complexity of the involved geomagnetic phenomena and the nature of the target detection strategy require the use of adaptive methods for signal processing. The paper shows that Computational Intelligence (CI) models can be integrated with those magnetic-based technologies, and presents an effective, reliable system for adaptive undersea protection. Two different CI paradigms are successfully tested for the specific application task: Circular BackPropagation (CBP) and Support Vector Machines (SVMs). Experimental results on real data prove the advantage of the integrated approach over existing conventional methods. Individual CI components and the overall detection system have been verified in real experiments.226 345 - PublicationRestrictedA new EMAG metrological approach for submarine detection: fundamentals of the numerical protocols and preliminary field performance(2012-05-29)
; ; ; ; ; ; ; ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Soldani, M.; OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) - Sgonico (TS) - Italy ;Leoncini, D.; OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) - Sgonico (TS) - Italy ;Crise, A.; OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) - Sgonico (TS) - Italy ;Grandinetti, P.; WASS SpA - Livorno - Italy ;Nasta, S.; Marina Militare Italiana - CSSN - La Spezia - Italy ;Zunino, R.; Università di Genova - Genova - Italy; ; ; ; ; ; The characteristics of the geomagnetic field and its artificial components make the capability of reading and classifying large underwater cinematic sources (e.g. submarines) somewhat random. As an example the “ASW far detection procedure” is also affected by the induced magnetic field produced by man-made telluric currents. This could generate some dangerous false alarm. The problem is not an instrumental issue related to the instrument precision of the sensor (commercial magnetometers have precisions greater than the one required by the application) but a classical metrological matter that could be overcome with a correct measurement procedure. This moves the problem from technological to phenomenological aspects. By applying the C.A.I.MA.N. (Coastal Anti-Intruder MAgnetometric Network) experience, inter-nodal distances in the observation chain were calculated so as to correlate the noise and de-correlate the target signal (source type SU.S. "SUbmarine Standard"). By means of C.A.I.MA.N. protocols, targets signal contained in the “detection magnetogram” F(target) was isolated from F(noise+target) magnetogram using F(noise) (that includes also natural variations) as Time-Domain filter, and then submitted to standard LP procedure to increase the information capability. Finally, to overcome metrological problems related to the low incremental ratio [∂F/∂s]ds of the detected signal, we propose a power domain analysis of the detection magnetogram. Also without a dedicated technology, in a preliminary experiment for SU.S. detection the C.A.I.MA.N. anti-intruder system has been occasionally modified: the first results obtained in this study were found encouraging and further detailed investigations within this framework should be undertaken in a future study.134 23 - PublicationOpen AccessA Preliminary Study on SVM based Analysis of Underwater Magnetic Signals for Port Protection(2009-09)
; ; ; ; ; ; ;Leoncini, D.; Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genoa, Italy ;Decherchi, S.; Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genoa, Italy ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Gastaldo, P.; Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genoa, Italy ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Zunino, R.; Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genoa, Italy; ; ; ; ; People who attend to the problem of underwater port protection usually use sonar based systems. Recently it has been shown that integrating a sonar system with an auxiliary array of magnetic sensors can improve the effectiveness of the intruder detection system. One of the major issues that arise from the integrated magnetic and acoustic system is the interpretation of the magnetic signals coming from the sensors. In this paper a machine learning approach is proposed for the detection of divers or, in general, of underwater magnetic sources. The research proposed here, by means of a windowing of the signals, uses Support Vector Machines for classification, as tool for the detection problem. Empirical results show the effectiveness of the method.176 449 - PublicationRestrictedDesign and performance analysis of a piezoelectric generator by Von Karman vortexes for underwater energy harvesting(2014)
; ; ; ; ;Perelli, A.; Department of Naval, Electric, Electronic and Telecommunication Engineering, University of Genoa, ITALY ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Zunino, R.; Department of Naval, Electric, Electronic and Telecommunication Engineering, University of Genoa, ITALY; ; ; With the decrease in energy consumption of electronic sensors, the concept of harvesting renewable energy in human surrounding, using piezoelectric technology seems promising to feed small sensors in several environments. The aim of this paper is to design a piezoelectric generators, optimized for magnetic sensors, able to work under the sea or into rivers, which can work with natural water vibrations generated by solid-fluid objects interactions (Von-Karman Vortex) and then to test the effectiveness of the device developing an electronic board to analyze the behavior of the generator.605 110 - PublicationRestrictedLinear SVM for Underwater Magnetic Signals Based Port Protection(2010)
; ; ; ; ; ; ;Leoncini, D.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italy ;Decherchi, S.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italy ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Gastaldo, P.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italy ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Zunino, R.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italy; ; ; ; ; The classical approach used to solve the underwater port protection problem is the acoustic based technique (sonar sensors). It has been shown that integrating a sonar system with an auxiliary array of magnetic sensors can improve the overall effectiveness of the intruder detection system. One of the major problems that arise from the use of magnetic systems is the interpretation of the magnetic signals coming from the sensors. In this paper a machine learning approach is explored for the detection of divers or, in general, of underwater magnetic sources that should ultimately support an automatic detection system. Currently this task requires a human online monitoring or an offline signal processing procedure. The proposed research, by windowing the sensed signals, uses Linear Support Vector Machines for classification, as tool for the detection problem. Preliminary empirical results show the viability of the method.256 33 - PublicationOpen AccessHarbour Sea-floor Clearance: “HD” High Definition Magnetic Survey Performance(2009-10-21)
; ; ; ; ; ; ; ; ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia ;Soldani, M.; Istituto Nazionale di Geofisica e Vulcanologia ;Leoncini, D.; Defence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy ;Zunino, R.; Defence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy ;Gastaldo, P.; Defence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy ;Di Gennaro, E.; Italian Navy, Naval Logistic Inspectorate, Piazza della Marina 4, 00196 Roma, Italy ;Lamberti, L. O.; Italian Navy, Istituto Idrografico della Marina, Passo dell’Osservatorio 4, 16134 Genova, Italy ;Maggiani, P. V.; Italian Navy, COMFORDRAG, Viale Giovanni Amendola 1, 19122 La Spezia, Italy; ; ; ; ; ; ; Seafloor clearance methods based on acoustic, direct-inspection, and single-sensor magnetic approaches suffer from limitations in controlling the target-sensor distance, and may prove ineffective when the small size or the dangerous nature of targets requires high accuracy in localization. Moreover, random magnetic variations over time bring about spatial decorrelation phenomena, and hinder the application of double-sensor methods in noisy harbour environments. The new High Definition (HD) magnetic survey protocol tackles the measurement-distance problem in two ways: first, by varying the sensor depth dynamically, and secondly by backprojecting the measured field according to seafloor data and vertical incremental factors associated with the bandwidth characteristics of targets. The method to make up for timeinduced loss in spatial localization ability exploits the local behaviour of a coherence function, which correlates local observations to a set of spatially-stabilized reference stations. The consequent normalization of measured magnetic signals allows one to assign the monitored areas with a specific level of confidence in the detection results, ranging from 100% (certainty) to 0% (random events). The principles of HD detection have been fully applied in the seafloor clearance of the firing test site located south of Cape Teulada (Sardinia, Italy), where very weak signal sources such as cartridge cases, mines, and small objects down to 1 Kg mass values (lobster pots) have been successfully localized, even when covered by extensive colonies of Posidonia.230 408 - PublicationRestrictedDesign and performance analysis of the mechanical structure of a piezoelectric generator by Von Karman vortexes for underwater energy harvesting(2013-06-10)
; ; ; ; ; ; ;Perelli, A.; Aeronautica Militare 10° Reparto Manutenzione Velivoli Lecce, Italy ;Leoncini, D.; Università degli Studi di Genova – DITEN Genova, Italy ;Sandroni, G.; Università degli Studi di Genova – DITEN Genova, Italy ;Soldani, M.; OGS (Ist. Naz. di Oceanografia e di Geofisica Sperimentale) ST – COPS La Spezia, Italy ;Faggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Zunino, R.; Università degli Studi di Genova – DITEN Genova, Italy; ; ; ; ; With the decrease in energy consumption of electronic sensors, the concept of harvesting renewable energy in human surrounding becomes a must. In this context, piezoelectric generators seems promising since they can harvests mechanical vibrations and in general energy available in nature. The aim of this paper is to design a piezoelectric generators, optimized for different kind of sensors and electronic equipments, able to work under the sea or into rivers, which can work with natural water vibrations generated by solid-fluid objects interactions (Von-Karman Vortex) and then to test the effectiveness of the device developing an electronic board to analyze the behavior of the generator.127 27