Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/7207
Authors: | Decherchi, S.* Leoncini, D.* Gastaldo, P.* Zunino, R.* Faggioni, O.* Soldani, M.* |
Title: | Computational Intelligence Methods for Underwater Magnetic-based Protection Systems | Issue Date: | 31-Jul-2011 | Keywords: | underwater detection systems port protection magnetic signal processing Support Vector Machine |
Subject Classification: | 04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomalies 04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniques 05. General::05.01. Computational geophysics::05.01.01. Data processing 05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation |
Abstract: | 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. |
Appears in Collections: | Conference materials |
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06033227.pdf | 726.52 kB | Adobe PDF | View/Open |
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