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Smart-Learning Networked Controllers for Centralized Air-Conditioning Systems Using Model-View-Controller Model

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Advances in Visual Informatics (IVIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10645))

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Abstract

This paper presents a smart system iBeam which is a smart learning and networked air conditioning system designing by using a Model – View – Controller (MVC) model. This is a learning and networked Internet of Thing (IoT) system that can predict the thermal comfort of the occupants and regulate the air-conditioning temperature using Machine Learning algorithm in order to give an ideal thermal comfort and indoor air quality with the most minimal vitality cost. This system consists of an Android app to collect user’s input, a server to run Machine Learning algorithm and to associate with a database that stores values from sensors such as temperature or humidity level. The app and the server communicate to each other through a Representational State Transfer web-service.

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References

  1. Roth, K., Dieckmann, J., Zogg, R., Brodrick, J.: Chilled beam cooling. ASHRAE J. 49(9), 84 (2007)

    Google Scholar 

  2. Guan, Z., Wen, C.:Numerical investigation of geometry parameters for designing efficient terminal units in active chilled beam. In: 2014 9th IEEE Conference on Industrial Electronics and Applications, pp. 1114–1118 (2014)

    Google Scholar 

  3. Fischer, J.C., Mescher, K.T., Mitchell, R.K., Glen, S.P., Carroll, S.S.: Chilled beam pump module, system, and method (2013)

    Google Scholar 

  4. Murphy, J., Harshaw, J.: Applications Engineering. @BULLET providing insights for today’s HVAC system designer. In: Trane Engineers Newsletter, vol. 42, no. 2 (2013)

    Google Scholar 

  5. Fong, K.F., Hanby, V.I., Chow, T.T.: HVAC system optimization for energy management by evolutionary programming. Energy Build. 38(3), 220–231 (2006)

    Article  Google Scholar 

  6. Anwaarullah, S., Altaf, S.V.: RTOS based home automation system using android. Int. J. Adv. Trends Comput. Sci. Eng. 2(1), 480–484 (2013)

    Google Scholar 

  7. Ramlee, R.A., Othman, M.A., Leong, M.H., Ismail, M.M., Ranjit, S.S.S.: Smart home system using android application. In: 2013 International Conference of Information and Communication Technology, ICoICT 2013, pp. 277–280 (2013)

    Google Scholar 

  8. Potts, J., Sukittanon, S.: Exploiting bluetooth on android mobile devices for home security application. In: 2012 Proceedings of IEEE Southeastcon, pp. 1–4 (2012)

    Google Scholar 

  9. Tan, K.K., Lee, T.H., Soh, C.Y.: Internet-based monitoring of distributed control systems-an undergraduate experiment. IEEE Trans. Educ. 45(2), 128–134 (2002)

    Article  Google Scholar 

  10. Swamy, N., Kuljaca, O., Lewis, F.L.: Internet-based educational control systems lab using NetMeeting. IEEE Trans. Educ. 45(2), 145–151 (2002)

    Article  Google Scholar 

  11. Tucker, A.B.: Computer science handbook. Chapman & Hall/CRC, Boca Raton (2004)

    MATH  Google Scholar 

  12. Quinlan, J.R.: Learning with continuous classes. In: Proceedings AI, pp. 343–348 (1992)

    Google Scholar 

  13. Wang, Y., Witten, I.H.: Induction of model trees for predicting continuous classes. In: Proceedings of the 9th European Conference on Machine Learning Poster Papers, pp. 128–137 (1997)

    Google Scholar 

  14. Khiyal, M.S.H., Khan, A., Shehzadi, E.: SMS based wireless home appliance control system (HACS) for automating appliances and security. Issues Inf. Sci. Inf. Technol. 6, 887–894 (2009)

    Google Scholar 

  15. AAlkar, A.Z., Buhur, U.: An internet based wireless home automation system for multifunctional devices. IEEE Trans. Consum. Electron. 51, 1169–1174 (2005)

    Article  Google Scholar 

  16. Rajabzadeh, A., Manashty, A.R., Jahromi, Z.F.: A mobile application for smart house remote control system. In: World Academy of Science, Engineering and Technology, vol. 62 (2010)

    Google Scholar 

  17. Sharma, U., Reddy, S.R.N.: Design of home/office automation using wireless sensor network. Int. J. Comput. Appl. 43, 53–60 (2012)

    Google Scholar 

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Acknowledgements

Special thanks to our client, Blue Snow Energy Sendirian Berhad (Shn Bhd) who shares the project idea and provides experiments testing point and hardware support. I also would like to thank my friend – Thanh C. Ngo, Rutgers University – who supported me on designing the app. This paper is presented based on a G52GRP group project with Tran Phuong Dung, Ahmad Kamal Kamariza, Wong Wei Thong, and Lim Jyy Bing from the University of Nottingham, Malaysia Campus.

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Authors and Affiliations

  1. University of Nottingham Malaysia Campus, 43500, Semenyih, Selangor, Malaysia

    Tran Trong Tin, Chen Zhi Yuan & K. R. Selvaraj

Authors
  1. Tran Trong Tin
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  2. Chen Zhi Yuan
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  3. K. R. Selvaraj
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Corresponding author

Correspondence to Tran Trong Tin .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  5. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  6. Toyo University, Kawagoe, Japan

    Tada Terutoshi

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Azizah Jaafar

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

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Tin, T.T., Yuan, C.Z., Selvaraj, K.R. (2017). Smart-Learning Networked Controllers for Centralized Air-Conditioning Systems Using Model-View-Controller Model. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_68

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  • DOI: https://doi.org/10.1007/978-3-319-70010-6_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70009-0

  • Online ISBN: 978-3-319-70010-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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