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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/6216
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dc.contributor.authorallLeoncini, D.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.authorallDecherchi, S.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.authorallFaggioni, O.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italiaen
dc.contributor.authorallGastaldo, P.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.authorallSoldani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italiaen
dc.contributor.authorallZunino, R.; University of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.date.accessioned2010-11-11T07:03:38Zen
dc.date.available2010-11-11T07:03:38Zen
dc.date.issued2010en
dc.identifier.urihttp://hdl.handle.net/2122/6216en
dc.description.abstractThe 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.en
dc.language.isoEnglishen
dc.publisher.nameDynamic Publishers, Inc.en
dc.relation.ispartofJournal of Information Assurance and Securityen
dc.relation.ispartofseries4/5 (2010)en
dc.subjectunderwater detection systemsen
dc.subjectport protectionen
dc.subjectmagnetic signal processingen
dc.subjectSupport Vector Machineen
dc.titleLinear SVM for Underwater Magnetic Signals Based Port Protectionen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber401-408en
dc.subject.INGV04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomaliesen
dc.subject.INGV04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniquesen
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.01. Data processingen
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementationen
dc.relation.references[1] O. Faggioni, A. Gabellone, R. Hollett, R. T. Kessel, M. Soldani. “Anti-intruder port protection “MAC (Magnetic ACoustic) System”: advances in the magnetic component performance”, CD-ROM Proceedings of 1st WSS Conference, August 25-28, Copenhagen, Denmark, 2008. [2] O. Faggioni, M. Soldani, A. Gabellone, R. Hollett, R.T. Kessel. Undersea harbours defence: a new choice in magnetic networks, Journal of Applied Geophysics, Accepted Paper. [3] O. Faggioni, M. Soldani, A. Gabellone, P. V. Maggiani, D. Leoncini. “Development of anti intruders underwater systems: time domain evaluation of the self-informed magnetic networks performance”, Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS 2008, vol. 53, pp. 100-107, 2009. [4] O. Faggioni, M. Soldani, D. Leoncini, A. Gabellone, P.V. Maggiani. Time Domain Performances Analysis of Underwater Magnetic SIMAN Systems for Port Protection, Journal of Information Assurance and Security, vol. 4(6) - Special Issue on Information Assurance and Data Security, pp. 538-545, 2009. [5] A. Gabellone, O. Faggioni, M. Soldani, P. Guerrini. “CAIMAN Experiment”, CD-ROM Proceedings of UDT Europe 2007 Conference, June 5-7, Naples, Italy, 2007. [6] A. Gabellone, O. Faggioni, M. Soldani, P. Guerrini. “CAIMAN (Coastal Anti Intruder MAgnetometers Network)”, CD-ROM Proceedings of RTO-MP-SET- 130 Symposium on NATO Military Sensing, March 12- 14, Orlando, Florida, USA, 2008, NATO classified. [7] O. Faggioni, M. Soldani, R. Zunino, D. Leoncini, E. Di Gennaro, A. Gabellone, P. V. Maggiani, V. Falcucci, E. Michelizza. “Building the Synthetic “MAC System”: an Analytical Integration of Magnetic and Acoustic Subsystems for Port Protection Scenarios”, CD-ROM Proceedings of UDT Europe 2009 Conference, June 9- 11, Cannes, France, 2009 [8] W.D. Parkinson. Introduction to Geomagnetism, Scottish Academic Press, Edinburgh, UK, 1983. [9] J. Bartels, N.H. Heck, H.F. Johnston. The three hourly range index measuring geomagnetic activity. Terrestrial, Magnetospheric and Atmospheric Electricityt, vol. 44(11), pp. 411-419, 1992. [10] A. De Santis, M. Chiappini. Automatic K scaling by means of fractal and harmonic analysis, Annals of Geophysics, vol. 10, pp. 597-602, 1992. [11] D.H. Fairfield. Recent advances in magnetospheric substorm research, Journal of Atmospheric and Terrestrial Physics, vol. 52(12), pp. 1155-1167, 1990. [12] Y.I. Feldstein, A. Grafe, V.Y. Pisarsky, A. Prigansova, P.V. Sumuruk. Magnetic field of the magnetospheric ring current and its dynamics during magnetic storm, Journal of Atmospheric and Terrestrial Physics, vol. 52(12), pp. 1185-1191, 1990. [13] D. Leoncini, S. Decherchi, O. Faggioni, P. Gastaldo, M. Soldani, R. Zunino. “A preliminary study on SVM based analysis of underwater magnetic signals for port protection”, in Á. Herrero, P. Gastaldo, R. Zunino, E. Corchado (Eds.). Computational Intelligence in Security for Information Systems - CISIS ‘09, 2nd International Workshop, Burgos, Spain, September 2009, Proceedings, Springer-Verlag, Advances in Soft Computing, vol. 63, pp. 37-44, Berlin Heidelberg, Germany, 2009. [14] S. Hettich, S. D. Bay. The UCI KDD Archive [http://kdd.ics.uci.edu]. Irvine, CA: University of California, Department of Information and Computer Science, 1999. [15] E.R. Kanasewich. Time Sequence Analysis in Geophysics, The University of Alberta Press, Edmonton, Canada, 1981. [16] J. Cooley, J. Tukey. An algorithm for the machine calculation of complex Fourier series, Mathematics of Computation, vol. 19, pp. 297-301, 1965. [17] V. Vapnik. Statistical Learning Theory, Wiley-Interscience Pub, 1998. [18] B. Scholkopf, A.J. Smola. Learning with Kernels. MIT Press, Cambridge, MA, USA, 2002. [19] C.C.Chang, C.J. Lin. "LibSVM: a library for Support Vector Machines".en
dc.description.obiettivoSpecifico1.6. Osservazioni di geomagnetismoen
dc.description.obiettivoSpecifico2.5. Laboratorio per lo sviluppo di sistemi di rilevamento sottomarinien
dc.description.obiettivoSpecifico3.4. Geomagnetismoen
dc.description.journalTypeN/A or not JCRen
dc.description.fulltextrestricteden
dc.contributor.authorLeoncini, D.en
dc.contributor.authorDecherchi, S.en
dc.contributor.authorFaggioni, O.en
dc.contributor.authorGastaldo, P.en
dc.contributor.authorSoldani, M.en
dc.contributor.authorZunino, R.en
dc.contributor.departmentUniversity of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.departmentUniversity of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italiaen
dc.contributor.departmentUniversity of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italiaen
dc.contributor.departmentUniversity of Genoa, Department of Biophysical and Electronic Engineering, Via Opera Pia 11a, Genoa 16145, Italyen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptDefence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy-
crisitem.author.deptDept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genoa, Italy-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia-
crisitem.author.deptDefence Geophysics Group; University of Genoa, DIBE, SEA Lab, Via All’Opera Pia 11a, 16145 Genova, Italy-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma2, Roma, Italia-
crisitem.author.deptUniversità degli Studi di Genova – DITEN Genova, Italy-
crisitem.author.orcid0000-0002-9772-3453-
crisitem.author.orcid0000-0001-7039-2781-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent05. General-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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