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    Developing training applications for hydrogen emergency response training
    ( 2019) Pinto,D ; Bruno Miguel Peixoto ; Goncalves,G ; Miguel Correia Melo ; Vasco Amorim ; Maximino Bessa ; 6184 ; 5095 ; 5408 ; 7926
    Virtual Reality (VR) has been evolving over the years, becoming more and more accessible, in a wide area of applications. One of these areas where VR can have a major impact is training and certification. Hydrogen vehicles are becoming a reality and first responders still lack proper tools and resources to train emergency responses for the purpose. VR can play here a crucial role in ensuring a proper hydrogen emergency response training due to the advantages associated with VR training programs such as resource optimization, repeatability, and replicability. This paper proposes using VR for hydrogen emergency response training by developing a solution composed of three components: tutorial mode, training mode, and certification mode. A usability study is further conducted to evaluate its usability and user satisfaction. The results show that the use of this application regards usability and user satisfaction were extremely positive. © 2019 IEEE.
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    Simulation analysis of a wildfire suppression system
    ( 2012) Tiago Oliveira ; Abilio Pereira Pacheco ; João Claro
    Rekindles and false alarms are unusually high in the Portuguese wildfire management system, representing a high burden on suppression resources in particular, and fire management resources in general. In 20,049 occurrences that the suppression system handled in the summer of 2010, 12.5% were false alarms and 15.0% were rekindles. We present a discrete-event simulation model of a wildfire suppression system, designed to analyze the joint impact of primary fires, rekindles and false alarms on system performance. The work contributes to fill a research gap concerning that impact, and features a novel application of simulation to suppression systems, as screening tools to support more holistic analyses. The model was implemented in ®ARENA, and used for a study of a Portuguese district. We found that reducing false alarms and rekindles to benchmark values would significantly reduce pressure on firefighting teams, enabling more effective suppression operations.
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    Open Innovation Strategy - Optimizing R&D Cooperation Quantity and Intensity
    ( 2011) Juha Väätänen ; Maria Smirnova ; Daria Podmetina ; Marko Torkkeli
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