A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments

Focusing on detecting the illegal behavior of dumping dredged sediments by dredgers at ports, a sensor network composed of two acoustic sources and several passive sensor arrays is proposed in this article. The approach can be divided into two parts: the local sensor decision model and the fusion ce...

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Main Authors: Rongxin Zhang, Fei Yuan, En Cheng
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2018-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718818400
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author Rongxin Zhang
Fei Yuan
En Cheng
author_facet Rongxin Zhang
Fei Yuan
En Cheng
author_sort Rongxin Zhang
collection DOAJ
description Focusing on detecting the illegal behavior of dumping dredged sediments by dredgers at ports, a sensor network composed of two acoustic sources and several passive sensor arrays is proposed in this article. The approach can be divided into two parts: the local sensor decision model and the fusion center algorithm. Local sensors receive signals emitted from the acoustic sources and extract the corresponding Hilbert–Huang marginal spectrum, which is significantly different between the scenario of illegal dumping dredged sediments and the contrary. Local decision is made based on spectrum feature extraction and classification. In regard to the fusion center, a fusion strategy with a scanning window is adopted to make a system-level decision. With a proper window width and the corresponding Bayes optimum threshold, the proposed approach performs well in simulations, in terms of a low system-level false alarm probability and a low system-level miss alarm probability.
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spelling doaj.art-54b6f236ed3c4c7e997e19a5191fd6e12024-11-02T23:53:34ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-12-011410.1177/1550147718818400A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sedimentsRongxin ZhangFei YuanEn ChengFocusing on detecting the illegal behavior of dumping dredged sediments by dredgers at ports, a sensor network composed of two acoustic sources and several passive sensor arrays is proposed in this article. The approach can be divided into two parts: the local sensor decision model and the fusion center algorithm. Local sensors receive signals emitted from the acoustic sources and extract the corresponding Hilbert–Huang marginal spectrum, which is significantly different between the scenario of illegal dumping dredged sediments and the contrary. Local decision is made based on spectrum feature extraction and classification. In regard to the fusion center, a fusion strategy with a scanning window is adopted to make a system-level decision. With a proper window width and the corresponding Bayes optimum threshold, the proposed approach performs well in simulations, in terms of a low system-level false alarm probability and a low system-level miss alarm probability.https://doi.org/10.1177/1550147718818400
spellingShingle Rongxin Zhang
Fei Yuan
En Cheng
A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
International Journal of Distributed Sensor Networks
title A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
title_full A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
title_fullStr A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
title_full_unstemmed A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
title_short A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments
title_sort network based approach on detecting dredgers illegal behavior of dumping dredged sediments
url https://doi.org/10.1177/1550147718818400
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