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Author Kenneth Johnson; Javier Cámara; Roopak Sinha; Samaneh Madanian; Dave Parry
Title Towards Self-Adaptive Disaster Management Systems Type Conference Article
Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021
Volume Issue Pages 49-61
Keywords disaster management, self-adaptive systems, formal verification, probabilistic model checking, constraint solving
Abstract Disasters often occur without warning and despite extensive preparation, disaster managers must take action to respond to changes critical resource allocations to support existing health-care facilities and emergency triages. A key challenge is to devise sound and verifiable resourcing plans within an evolving disaster scenario. Our main contribution is the development of a conceptual self-adaptive system featuring a monitor-analyse-plan-execute (MAPE) feedback loop to continually adapt resourcing within the disaster-affected region in response to changing usage and requirements. We illustrate the system's use on a case study based on Auckland city (New Zealand). Uncertainty arising from partial knowledge of infrastructure conditions and outcomes of human participant's actions are modelled and automatically analysed using formal verification techniques. The analysis inform plans for routing resources to where they are needed in the region. Our approach is shown to readily support multiple model and verification techniques applicable to a range of disaster scenarios.
Address Auckland University of Technology; University of York; Auckland University of Technology; AUT university; Auckland University of Technology
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track AI and Intelligent Systems for Crises and Risks Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes kenneth.johnson@aut.ac.nz Approved no
Call Number ISCRAM @ idladmin @ Serial (down) 2312
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Author Samaneh Madanian; David Airehrour; Marianne Cherrington; NikhilKumar Patil
Title Smart Cap for Visually Impaired in Disaster Situations Type Conference Article
Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018
Volume Issue Pages 317-325
Keywords Visually Impaired, Resilience, Disaster, Smart Cap, Internet of Things.
Abstract Natural and manmade disasters pose a myriad of challenges, which are more severe for individuals with disabilities. Ordinarily to perform daily activities, the disabled get support from assistive technological devices and services; these are commonly disrupted during and after disasters. A proposed solution to support those with visual impairment is a cost-effective wearable 'Smart Cap'. The Smart Cap provides narratives about the surrounding environment while establishing communication between the user (the visually impaired) and a rich online reservoir of knowledge base system capable of vocalising narratives. As a proof-of-concept, this study is implemented using Raspberry Pi, the Amazon Web Services and a P-Cap fitted with a camera. The aim of this research work is to provide an assistive technology to help the visually impaired navigate their way out of any potentially disastrous situation like other citizens would. The proposed system and its usage in disaster situations is an innovative, cost-effective solution specifically addressing the needs of visually impaired persons.
Address Nmit; Nmit; Aut; Nmit
Corporate Author Thesis
Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Human centred design for collaborative systems supporting 4Rs (Reduction, Readiness, Response and Recovery) Expedition Conference
Notes Approved no
Call Number Serial (down) 1661
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