Titlebook: Information Technologies in Environmental Engineering; Proceedings of the 4 Ioannis N. Athanasiadis,Andrea E. Rizzoli,Jorge Ma Conference p

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NoiseTube: Measuring and mapping noise pollution with mobile phonesuipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geo-localised measurements and further personal annotation to produce a collective noise map.

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Monitoring of environment by energy efficient usage of Wireless Sensor Networksis based on Fuzzy ART model of neural networks. Our system provides high dimensionality reduction when sending only the classified data and transferring only the new data in given time series. In this way, the system can be very energy efficient for monitoring of not frequent events..The system is b

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Information Technologies in Environmental EngineeringProceedings of the 4

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Conference proceedings 2009bservation systems; modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems and control s

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Governance of a Service-Oriented Architecture for Environmental and Public Securityure of an SOA leads to a need for governance mechanisms. We present an SOA governance approach targeted to serve the purposes of large-scale distributed IT landscapes for environmental and public security.

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Manifest

AKX – An Exchange for Predicting Water Dam Levels in Australiadel based on historic data beats the market forecast in half of the cases. Experts seem reluctant – due to various reasons – to join and participate in (water related) prediction markets..In summary, our first experiment results show that markets are a promising approach to forecast Natural Resource

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Environmental Engineering and Facility Management of Berlin’s Public Buildings environmental engineering technologies, (ii) the system architecture that includes a distributed computing environment, mobile clients, and centralized processing systems which integrate ERP applications, and (iii) a description of several environmental engineering application scenarios and how the