Open-Source georeferentiation for resilient communities

The impact of the current growth of mobile devices usage, enabled with GPS receptors, accelerometers, continuous Internet access, almost carried by the owner, gives the opportunity to create new relations inside local communities to support local resilience through an extensive use of participatory...

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Detalhes bibliográficos
Autor principal: Rosa, Pedro Miguel Pinto (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2015
Assuntos:
Texto completo:http://hdl.handle.net/10400.6/3772
País:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/3772
Descrição
Resumo:The impact of the current growth of mobile devices usage, enabled with GPS receptors, accelerometers, continuous Internet access, almost carried by the owner, gives the opportunity to create new relations inside local communities to support local resilience through an extensive use of participatory mapping (crowd-sourcing) and help local communities. Users can share resources and reduce expenses using geo-location, interactive mapping, augmented reality, and graphical user interface techniques. This dissertation focuses on the design and construction of a mobile system that follows location and content–aware approaches on ubiquitous multimedia applications, performance evaluation of a weight algorithm for multimedia mobile events agenda. In order to deploy this concept for mobile events agenda the user behavior settings are analyzed. This analysis presents to users only information inside their interests and relevant to them. Knowing the users’ behavior it is important to provide them the best information, and avoid irrelevant information. This relevance-related information shows their interests and, at the same time, relevant information concerning the users’ localization. The application also provides new means to distribute new content and events. Besides that, an alert notification was constructed in order to alert mobile users of a relevant event. Developing a mobile application that gives a score for each event based on user preferences and their location. Those events are sorted by relevance in an ordered list and a map. The application, developed for iPhone iOS operating system, has been tested, evaluated and demonstrated, and it is ready for use. An application for iPhone was developed to prove the abovepresented solution.