Abstract
Computer systems are designed to help solve problems presented to our society. New terms such as computational sustainability and internet of things present new fields where traditional information systems are being applied and implemented on the environment to maximize data output and our ability to understand how to improve them. The advancement of richer and interconnected devices has created opportunities to gather new data sources from the environment and use it together with other pre-existent information in new reasoning processes. This work describes a sensorial platform designed to help raise awareness towards sustainability and energy efficient systems by exploring the concepts of ambient intelligence and fusion of data to create monitoring and assessment systems. The presented platform embodies the effort to raise awareness of user actions on their impact towards their sustainability objectives.
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References
Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A., Cook, D.J.: Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing 16(1), 91–103 (2012)
Fanger, P.O.: Thermal comfort: Analysis and applications in environmental engineering. Danish Technical Press (1970)
Gomes, C.P.: Computational sustainability. In: Gama, J., Bradley, E., Hollmén, J. (eds.) IDA 2011. LNCS, vol. 7014, p. 8. Springer, Heidelberg (2011). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.158.2293&rep=rep1&type=pdf
Hagras, H., Doctor, F., Callaghan, V., Lopez, A.: An Incremental Adaptive Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments. IEEE Transactions on Fuzzy Systems 15(1), 41–55 (2007)
Rana, R., Kusy, B., Jurdak, R., Wall, J., Hu, W.: Feasibility analysis of using humidex as an indoor thermal comfort predictor. Energy and Buildings 64, 17–25 (2013). doi:10.1016/j.enbuild.2013.04.019
Costa, A., Novais, P., Simões, R.: A Caregiver Support Platform within the Scope of an AAL Ecosystem. Sensors 14(3), 654–5676 (2014). MDPI AG, ISSN: 1424-8220
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© 2015 Springer International Publishing Switzerland
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Silva, F., Analide, C. (2015). Ambient Intelligence: Experiments on Sustainability Awareness. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_4
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DOI: https://doi.org/10.1007/978-3-319-23485-4_4
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