Franclin Foping, & Ioannis M. Dokas. (2013). A saas-based early warning information fusion system for critical infrastructure safety. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 156–165). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Maintaining the critical infrastructures, such as Drinking Water Treatment Plants (DWTP), transportation, power generation and communications systems, in a safe state is a complex problem. The effective collaboration, as well as the collection aggregation and dissemination of early warning information among the stakeholders of the Safety Management System (SMS) responsible for the safety of these critical infrastructures are some of the challenges that need to be addressed. This paper argues that the Software as a Service (SaaS) deployment model can offer new ways of enhancing the fusion of early warning information during the operation phase of critical infrastructures. It presents the requirements, the architecture and a number of features of a working prototype SaaS-based early warning information fusion system for DWTP safety issues in the Republic of Ireland. It is the first time that a SaaSbased working prototype system is reported of providing early warning information fusion services in the literature.
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Mark Gaynor, Reuven Messer, Dan Myung, & Steve Moulton. (2006). Applications for emergency medical services. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 579–591). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Today, despite the obvious need, pre-hospital providers cannot send real-time electronic patient care information from the field to a receiving hospital. This lack of field awareness and inability to plan for the arrival-or anticipate the needs-of seriously ill or injured patients can lead to the misdirection of patients and the loss of valuable time in the early phases of resuscitation. We believe, however, that current technology can address these shortcomings and that is the focus of our research efforts. This paper discusses how several countries, including Israel, Sweden, Britain and the United States, are addressing the need to better triage patients from the field to an appropriate hospital or trauma center. It also introduces a potential solution, called iRevive, which uses emerging technology such as sensors, wireless WAN data transport, web services, artificial intelligence, and mobile devices to meet the dynamic needs of first responders and the hospitals they serve.
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Brian M. Tomaszewski, & Alan M. MacEachren. (2006). A distributed spatiotemporal cognition approach to visualization in support of coordinated group activity. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 347–351). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Technological advances in both distributed cooperative work and web-map services have the potential to support distributed and collaborative time-critical decision-making for crisis response. We address this potential through the theoretical perspective of distributed cognition and apply this perspective to development of a geocollaborationenabled web application that supports coordinated crisis management activities. An underlying goal of our overall research program is to understand how distributed cognition operates across groups working to develop both awareness of the geographic situation within which events unfold, and insights about the processes that have lead to that geographic situation over time. In this paper, we present our preliminary research on a web application that addresses these issues. Specifically, the application (key parts of which are implemented) enables online, asynchronous, map-based interaction between actors, thus supporting distributed spatial and temporal cognition, and, more specifically, situational awareness and subsequent action in the context of humanitarian disaster relief efforts.
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Tim Schoenharl, Greg Madey, Gábor Szabó, & Albert-László Barabási. (2006). WIPER: A multi-agent system for emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 282–287). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper describes the proposed WIPER system. WIPER is intended to provide emergency planners and responders with an integrated system that will help to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. The system is designed as a multi-agent system using web services and the service oriented architecture. Components of the system for detecting and mitigating emergency situations can be added and removed from the system as the need arises. WIPER is designed to evaluate potential plans of action using a series of GIS enabled Agent-Based simulations that are grounded on realtime data from cell phone network providers. The system relies on the DDDAS concept, the interactive use of partial aggregate and detailed realtime data to continuously update the system and allow emergency planners to stay updated on the situation. The interaction with the system is done using a web-based interface and is composed of several overlaid layers of information, allowing users rich detail and flexibility.
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Stephen Potter, Austin Tate, & Gerhard Wickler. (2006). Using I-X process panels as intelligent to-do lists for agent coordination in emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 272–281). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The aim of this paper is to describe the I-X system with its principal user interface, the I-X Process Panel, its underlying ontology, , and how this panel can be used as an intelligent to-do list that assists emergency responders in applying pre-defined standard operating procedures in different types of emergencies. In particular, multiple instances of I-X Process Panels can be used as a distributed system to coordinate the efforts of independent emergency responders as well as responders within the same organization. Furthermore, it can be used as an agent wrapper for other software systems such as web services to integrate these into the emergency response team as virtual members. The heart of the I-X system is an automated planner that can be used to synthesize courses of action or explore alternative options manually.
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