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Smart Home Energy Conservation Based on Context Awareness Technology

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Current Approaches in Applied Artificial Intelligence (IEA/AIE 2015)

Abstract

Significance of smart home is to provide the greatest degree of home comfort and convenience, while reducing energy consumption and expenses. Considering the scenario of intelligent analysis and real-time response, context awareness may be having the greatest feature and utilization. With the development of concept for smart home, more detailed needs and methods have emerged like smart home response mode, embedded processing mode, high-speed response mechanisms, energy optimization, cloud data analysis and processing. Focus on automatic processing, automatic response to situational changes, combined with the recommended mode of optimize energy consumption, for automatically respond to the surrounding context change, we developed an embedded smart home framework, it can also reduce home energy consumption. This framework uses efficient cloud data storage and analysis. To verify the actual performance of the framework, we designed an embedded control system and the experimental results show that framework is able to meet the purpose of the design and can be applied to smart home scenario, which can play a role in reducing energy consumption and can enhance the comfort of home.

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References

  1. Nirmalya, R., Abhishek, R., Sajal, K.D.: Context-aware resource management in multi-inhabitant smart homes: a nash h-learning based approach. In: Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications (PERCOM 2006) 0-7695-2518-0/06 (2006)

    Google Scholar 

  2. Mina, D., Milan, P., Marco, N., Ilaria, B.: A home health care system in the cloud addressing security and privacy challenges. In: IEEE 4th International Conference on Cloud Computing (2011)

    Google Scholar 

  3. Yu, H.Z., Jian, Z., Wei, H.Z.: Discussion of a smart house solution basing cloud computing. In: International Conference on Communications and Intelligence Information Security (2010)

    Google Scholar 

  4. Xiaojing, Y., Junwei, H.: A framework for cloud-based smart home. In: International Conference on Computer Science and Network Technology (2011)

    Google Scholar 

  5. Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 1994), pp. 89–101 (1994)

    Google Scholar 

  6. Schilit, B.N., Theimer, M.M.: Disseminating Active Map Information to Mobile Hosts. IEEE Network 8(5), 22–32 (1994)

    Article  Google Scholar 

  7. http://arduino.cc/en/Guide/Introduction

  8. http://arduino.cc/en/Main/ArduinoBoardUno

  9. http://ai2.appinventor.mit.edu/

  10. Cook, D.J., Das, S.K.: Smart Environments: Technology, Protocols and Applications. John Wiley (November 2004)

    Google Scholar 

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Correspondence to Rung-Ching Chen .

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© 2015 Springer International Publishing Switzerland

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Bin, D., Chen, RC., Chen, KL. (2015). Smart Home Energy Conservation Based on Context Awareness Technology. In: Ali, M., Kwon, Y., Lee, CH., Kim, J., Kim, Y. (eds) Current Approaches in Applied Artificial Intelligence. IEA/AIE 2015. Lecture Notes in Computer Science(), vol 9101. Springer, Cham. https://doi.org/10.1007/978-3-319-19066-2_70

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  • DOI: https://doi.org/10.1007/978-3-319-19066-2_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19065-5

  • Online ISBN: 978-3-319-19066-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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