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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 5/2022

18.05.2022

A Semantic Knowledge based Context-aware Formalism for Smart Border Surveillance System

verfasst von: Makia Nazir, Hafiz Mahfooz Ul Haque, Kiran Saleem

Erschienen in: Mobile Networks and Applications | Ausgabe 5/2022

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Abstract

This paper presents a semantic knowledge-based context-aware smart border surveillance system to monitor suspicious activities across the border or nearby red zones and assists in handling hazardous situations using context acquisition, observation, monitoring, and generating alerts without or with minimal human intervention. The proposed formalism has an intelligent decision support mechanism to take decisions intelligently on behalf of the user, infer a plan to prevent the damages caused by the suspicious entities, and adapt itself according to the current context of use. We propose algorithms for a smart border vigilance system to present the system flow on detecting suspicious activities in the red zone and rescuing from hazards. We develop a simple case study of a smart border surveillance system and simulate the agents’ reasoning process using NetLogo simulator to analyze the behaviour in terms of efficiency and efficacy of the system.
Vorheriger Artikel Towards An FPGA-targeted Hardware/Software Co-design Framework for CNN-based Edge Computing
Nächster Artikel Verification of RabbitMQ with Kerberos Using Timed Automata

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Metadaten
Titel
A Semantic Knowledge based Context-aware Formalism for Smart Border Surveillance System
verfasst von
Makia Nazir
Hafiz Mahfooz Ul Haque
Kiran Saleem
Publikationsdatum
18.05.2022
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 5/2022
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-01987-7

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