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Ambient Sensorization for the Furtherance of Sustainability

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Ambient Intelligence - Software and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 219))

Abstract

Energy efficiency is regarded as an important objective in a world of limited resources. The sustainable use of energy is necessary for the continuity of life styles that do not jeopardize the future. Nevertheless, due to poor information about the impact of human actions on the environment, it is hard to promote and warn for sustainability. This work focuses on the use of ambient intelligence as a mean to constantly revise sustainability indicators in a way they may be used for user awareness and recommendation systems within communities. The approach in this research makes use of sustainable indicators monitored through ambient sensors which enable user accountability concerning their actions inside each environment. Also, it is possible to compare the effect of user actions in the environment, enabling decision making based on such comparison factors.

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References

  1. Herring, H.: Energy efficiency—a critical view. Energy 31(1), 10–20 (2006)

    Article  Google Scholar 

  2. Chetty, M., Tran, D.: Getting to Green: Understanding Resource Consumption in the Home. In: Proceedings of the 10th International Conference on Ubiquitous Computing, pp. 242–251 (2008)

    Google Scholar 

  3. Singh, R., Murty, H., Gupta, S., Dikshit, A.: An overview of sustainability assessment methodologies. Ecological Indicators 9(2), 189–212 (2009)

    Article  Google Scholar 

  4. Aztiria, A., Izaguirre, A., Augusto, J.C.: Learning patterns in ambient intelligence environments: a survey. Artif. Intell. Rev. 34(1), 35–51 (2010)

    Article  Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. Al-Waer, H., Clements-Croome, D.J.: Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment 45(4), 799–807 (2009)

    Article  Google Scholar 

  7. Lyon, A., Dahl: Achievements and gaps in indicators for sustainability. Ecological Indicators 17(0), 14–19 (2012)

    Google Scholar 

  8. Afgan, N.H., Carvalho, M.G., Hovanov, N.V.: Energy system assessment with sustainability indicators. Energy Policy 28(9), 603–612 (2000)

    Article  Google Scholar 

  9. Todorov, V., Marinova, D.: Modelling sustainability. Mathematics and Computers in Simulation 81(7), 1397–1408 (2011)

    Article  MathSciNet  Google Scholar 

  10. Picard, R.W.: Affective Computing. The MIT Press, Cambridge (1997)

    Google Scholar 

  11. Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions (1990)

    Google Scholar 

  12. Gebhard, P.: ALMA: a layered model of affect. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 29–36 (2005)

    Google Scholar 

  13. McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. Journal of personality 60(2), 175–215 (1992)

    Article  Google Scholar 

  14. Kazemifard, M., Ghasem-Aghaee, N., Ören, T.I.: Emotive and cognitive simulations by agents: Roles of three levels of information processing. Cognitive Systems Research 13(1), 24–38 (2012)

    Article  Google Scholar 

  15. Silva, F., Cuevas, D., Analide, C., Neves, J., Marques, J.: Sensorization and Intelligent Systems in Energetic Sustainable Environments. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds.) Intelligent Distributed Computing VI. SCI, vol. 446, pp. 199–204. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

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Correspondence to Fábio Silva .

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© 2013 Springer International Publishing Switzerland

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Silva, F., Analide, C., Rosa, L., Felgueiras, G., Pimenta, C. (2013). Ambient Sensorization for the Furtherance of Sustainability. In: van Berlo, A., Hallenborg, K., Rodríguez, J., Tapia, D., Novais, P. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 219. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00566-9_23

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  • DOI: https://doi.org/10.1007/978-3-319-00566-9_23

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00565-2

  • Online ISBN: 978-3-319-00566-9

  • eBook Packages: EngineeringEngineering (R0)

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