iVital: A Real Time Monitoring System for First Response Teams

Teles, Diogo; Colunas, Márcio; Fernandes, José Maria; Oliveira, Ilídio; Cunha, João Paulo Silva

doi:10.1007/978-3-642-30422-4_29

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…The target of the under-development computational tool is to provide knowledge-based aid to firefighters at critical decision-making situations, helping with the safe and successful management of fire. This DSS will support the following features: -capture of 'live' sensor data from a set of wearable monitoring equipment [Teles et al, 2011] that will be based on a previously developed certified medical wearable technology named "VitalJacket®" [Cunha et al, 2010;Cunha, 2012] [http://www.biodevices.pt]; -capture of meteorological observations from a mast placed in one of the vehicles; -enable projections of fire progression, smoke levels and critical exposure in a predefined time-step (up to 30 minutes); -interpretation of results in an easy and intuitive form to be used by fire managers or firefighters involved in operations. To achieve this goal hardware technology (e.g.…”

Section: Dss Development and Testingmentioning

confidence: 99%

Fire safety management based on integrated monitoring and forecast of smoke exposure

Cunha¹,

Fernandes²,

Amorim³

et al. 2014

Advances in Forest Fire Research

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A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos. Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da instituição detentora da supramencionada licença. Ao utilizador é apenas permitido o descarregamento para uso pessoal, pelo que o emprego do(s) título(s) descarregado(s) para outro fim, designadamente comercial, carece de autorização do respetivo autor ou editor da obra. Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso.

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Section: Dss Development and Testingmentioning

confidence: 99%

Fire safety management based on integrated monitoring and forecast of smoke exposure

Cunha¹,

Fernandes²,

Amorim³

et al. 2014

Advances in Forest Fire Research

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“…We address this problem in the context of a practical usecase, that of ad-hoc communication in a forested environment among smart phones using WiFi. This use-case is motivated by a feasibility study for a smart phone-based information system for firefighters [3]. After analyzing the impact of GPS positioning errors on the estimation of the range between devices and consequently on the estimated propagation model, we derive guidelines for the design of future device-to-device path loss measurement campaigns, and propose a practical method to correct those errors based on Monte Carlo simulations.…”

Section: Introductionmentioning

confidence: 99%

Impact of Position Errors on Path Loss Model Estimation for Device-to-Device Channels

Santos

Abrudan

Aguiar

et al. 2014

IEEE Trans. Wireless Commun.

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Many wireless applications require a propagation model that describes the attenuation of the transmitted signal as a function of the distance between devices. Such channel models are derived commonly from signal strength measurements, and assume that the true distances between wireless terminals are known. In practice, however, the true distances may be unavailable or difficult to obtain, for instance in mobile scenarios or in the absence of line-of-sight. These conditions typically occur in forested environments, urban areas, etc. This paper addresses the problem of path loss model parameter estimation in presence of erroneous distance measurements, such as the ones derived from the GPS positions. We provide a model for the uncertainties, and study the impact of distance errors on the estimation of a log-distance channel model.Our main conclusion is that the path loss model can be estimated with a reasonable accuracy from unreliable distances, provided that the measurements are taken at distances beyond a few standard deviations of the GPS positioning error. In case the maximum communication range does not allow such large distances, we provide a method to correct the erroneous channel model. Real-world measurements are used in order to validate our approach.

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Energy aware sensing and transmission (EAST) scheme for firefighter monitoring system

Atiq

Wajahat

Kim

2014

2014 International Conference on Computer, Information and Telecommunication Systems (CITS)

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iVital: A Real Time Monitoring System for First Response Teams

Cited by 3 publications

References 10 publications

Fire safety management based on integrated monitoring and forecast of smoke exposure

Fire safety management based on integrated monitoring and forecast of smoke exposure

Impact of Position Errors on Path Loss Model Estimation for Device-to-Device Channels

Energy aware sensing and transmission (EAST) scheme for firefighter monitoring system

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