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Pekka Sillberg, Petri Rantanen, Mika Saari, Jari Leppäniemi, Jari Soini, & Hannu Jaakkola. (2009). Towards an IP-based alert message delivery system. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Advancements in technology have provided new opportunities for the delivery of emergency messages. However, some of the issues concerning data security and technical solutions are quite different from the problems of the traditional means of communication. The Internet poses its own set of challenges. This paper presents a few emergency messaging system proposals made by other researchers and also introduces a new proposition put forward by the authors of this paper. This will demonstrate how to use client-server architecture to deliver emergency alert messages in IP-based networks. The proposed system uses Atom feeds to deliver alert messages and also provides a feedback channel for client data. In this scenario clients could have any kind of device from mobile terminals to desktop computers.
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Don J.M. Willems, & Louis Vuurpijl. (2007). Designing interactive maps for crisis management. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 159–166). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes the design, implementation, and evaluation of pen input recognition systems that are suited for so-called interactive maps. Such systems provide the possibility to enter handwriting, drawings, sketches and other modes of pen input. Typically, interactive maps are used to annotate objects or mark situations that are depicted on the display of video walls, handhelds, PDAs, or tablet PCs. Our research explores the possibility of employing interactive maps for crisis management systems, which require robust and effective communication of, e.g., the location of objects, the kind of incidents, or the indication of route alternatives. The design process described here is a mix of “best practices” for building perceptive systems, combining research in pattern recognition, human factors, and human-computer interaction. Using this approach, comprising data collection and annotation, feature extraction, and the design of domain-specific recognition technology, a decrease in error rates is achieved from 9.3% to 4.0%.
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