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http://dx.doi.org/10.7472/jksii.2017.18.5.69

Deployment of Network Resources for Enhancement of Disaster Response Capabilities with Deep Learning and Augmented Reality  

Shin, Younghwan (School of Electrical and Electronic Engineering, Yonsei University)
Yun, Jusik (School of Electrical and Electronic Engineering, Yonsei University)
Seo, Sunho (School of Electrical and Electronic Engineering, Yonsei University)
Chung, Jong-Moon (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Internet Computing and Services / v.18, no.5, 2017 , pp. 69-77 More about this Journal
Abstract
In this paper, a disaster response scheme based on deep learning and augmented reality technology is proposed and a network resource reservation scheme is presented accordingly. The features of deep learning, augmented reality technology and its relevance to the disaster areas are explained. Deep learning technology can be used to accurately recognize disaster situations and to implement related disaster information as augmented reality, and to enhance disaster response capabilities by providing disaster response On-site disaster response agent, ICS (Incident Command System) and MCS (Multi-agency Coordination Systems). In the case of various disasters, the fire situation is focused on and it is proposed that a plan to strengthen disaster response capability effectively by providing fire situation recognition based on deep learning and augmented reality information. Finally, a scheme to secure network resources to utilize the disaster response method of this paper is proposed.
Keywords
Augmented Reality; Deep learning; Object detection; Disaster Response; Network Resource;
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