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Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring

Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring

Stefan Bosse
ISBN13: 9781522561958|ISBN10: 1522561951|EISBN13: 9781522561965
DOI: 10.4018/978-1-5225-6195-8.ch038
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MLA

Bosse, Stefan. "Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring." Emergency and Disaster Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 813-833. https://doi.org/10.4018/978-1-5225-6195-8.ch038

APA

Bosse, S. (2019). Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring. In I. Management Association (Ed.), Emergency and Disaster Management: Concepts, Methodologies, Tools, and Applications (pp. 813-833). IGI Global. https://doi.org/10.4018/978-1-5225-6195-8.ch038

Chicago

Bosse, Stefan. "Incremental Distributed Learning With JavaScript Agents for Earthquake and Disaster Monitoring." In Emergency and Disaster Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 813-833. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6195-8.ch038

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Abstract

Ubiquitous computing and The Internet-of-Things (IoT) grow rapidly in today's life and evolving to Self-organizing systems (SoS). A unified and scalable information processing and communication methodology is required. In this work, mobile agents are used to merge the IoT with Mobile and Cloud environments seamless. A portable and scalable Agent Processing Platform (APP) provides an enabling technology that is central for the deployment of Multi-Agent Systems (MAS) in strong heterogeneous networks including the Internet. A large-scale use-case deploying Multi-agent systems in a distributed heterogeneous seismic sensor and geodetic network is used to demonstrate the suitability of the MAS and platform approach. The MAS is used for earthquake monitoring based on a new incremental distributed learning algorithm applied to seismic station data, which can be extended by ubiquitous sensing devices like smart phones. Different (mobile) agents perform sensor sensing, aggregation, local learning and prediction, global voting and decision making, and the application.

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