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Author (up) Nick Hedley pdf  isbn
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  Title Capturing communities' perceptions of risk through the eyes of their citizens: Using mobile VGI networks to map tsunami risk awareness Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Hazards; Information systems; Mobile devices; Risk assessment; Tsunamis; Vapors; British Columbia; Coastal communities; Deployable systems; Device technologies; Emergency planners; Perceptions of risks; Tsunami hazards; Volunteered geographic information; Risk perception  
  Abstract This paper describes research in progress exploring the use of mobile device technology and citizen sensors, as tools for emergency managers and planners to quickly to gather and map citizen perceptions of risk in communities exposed to tsunami hazards. VAPoR is an agile, deployable system developed at the Spatial Interface Research Lab that does this. It is currently being field tested on the West Coast of Vancouver Island, British Columbia. This evaluation assesses these technologies and methods, and their potential to help emergency planners mitigate risk in coastal communities. © 2012 ISCRAM.  
  Address Spatial Interface Research Lab, Dept. of Geography, Simon Fraser University, Canada  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Planning and Foresight Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 126  
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Author (up) Yossi Nygate; William Johnson; Mark Indelicato; Miguel Bazdresch; Clark Hochgraf pdf  isbn
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  Title Intelligent Wireless Infrastructure Management for Emergency Communications Type Conference Article
  Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018  
  Volume Issue Pages 1156-1160  
  Keywords communications, LTE, deployable, QoS, big data analytics  
  Abstract This poster describes the research of a collaborative faculty-led research that will enable first responders to identify and visualize geo-located quality of service and coverage gaps in wireless and deployable networks during an emergency event and support the deployment additional LTE base stations within FirstNet to augment network coverage and capacity. Our crowd sourced cellular metrics system uses big data analytics to detect changes in coverage and usage patterns and recommends where to deploy additional communication assets. The approach uses machine learning methods to measure and model coverage gaps and automatically implement bandwidth prioritization on whatever communication assets are available.  
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  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Poster Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 2195  
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