Journalartikel - Wissenschaftlicher Artikel | 2021 | aktuell nicht Peer reviewed

Underwater Acoustic Networks for Security Risk Assessment in PublicDrinking Water Reservoirs

Autor*innen

Stork, Jörg ; Wenzel, Philip ; Landwein, Severin ; Algorri, Maria Elena ; Zaefferer, Martin ; Kusch, Wolfgang ; Staubach, Martin ; Bartz-Beielstein, Thomas ; Köhn, Hartmut ; Dejager, Hermann ; Wolf, Christian

Zeitschrift

De.arXiv.org

URL

http://arxiv.org/abs/2107.13977

Weitere Details

Sprache

englisch

Darstellungsform

Text

Seitenbereich

1 - 24

Schlüsselwörter

Artificial Intelligence (cs.AI)

We have built a novel system for the surveillance of drinking water reservoirs using underwater sensor networks. We implement an innovative AI-based approach to detect, classify and localize underwater events. In this paper, we describe the technology and cognitive AI architecture of the system based on one of the sensor networks, the hydrophone network. We discuss the challenges of installing and using the hydrophone network in a water reservoir where traffic, visitors, and variable water conditions create a complex, varying environment. Our AI solution uses an autoencoder for unsupervised learning of latent encodings for classification and anomaly detection, and time delay estimates for sound localization. Finally, we present the results of experiments carried out in a laboratory pool and the water reservoir and discuss the system's potential.

Zitierstile

Stork, J., Wenzel, P., Landwein, S., Algorri, M. E., Zaefferer, M., Kusch, W., … Wolf, C. (2021). Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. De.ArXiv.Org, 1–24. Retrieved from http://arxiv.org/abs/2107.13977

In die Zwischenablage kopieren

Stork, J., Wenzel, P., Landwein, S., Algorri, M.E., Zaefferer, M., Kusch, W., Staubach, M., Bartz-Beielstein, T., Köhn, H., Dejager, H. and Wolf, C., 2021. Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. De.arXiv.org, [online] pp.1–24. Available at: <http://arxiv.org/abs/2107.13977>.

In die Zwischenablage kopieren

Stork, Jörg u. a. 2021. Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. De.arXiv.org 1–24. http://arxiv.org/abs/2107.13977.

In die Zwischenablage kopieren

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Zitierstile

In die Zwischenablage kopieren

Stork, Jörg u. a. 2021. Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. De.arXiv.org 1–24. http://arxiv.org/abs/2107.13977.

In die Zwischenablage kopieren

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American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard