참고문헌
- Cook, D.J., Crandall, A.S., Thomas, B.L., and Krishnan, N.C., CASAS : A smart home in a box, Computer, 2013, Vol. 46, No. 7, pp. 62-69. https://doi.org/10.1109/MC.2012.328
- Cook, D.J., MavHome : An agent-based smart home, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003, pp. 521-524.
- Deleawe, S., Kusznir, J., Lamb, B., and Cook, D.J., Predicting air quality in smart environments, Journal of Ambient Intelligence and Smart Environments, 2010, Vol. 2, No. 2, pp. 145-154.
- Han, D.-M. and Lim, J.-H., Design and implementation of smart home energy management systems based on zigbee, IEEE Transactions on Consumer Electronics, 2010, Vol. 56, No. 3, pp. 1417-1425. https://doi.org/10.1109/TCE.2010.5606278
- Hastie, T., Tibshirani, R. and Jerome, F., The elements of statistical learning, 2nd ed, Berlin : Springer, 2009.
- Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y., and Jansen, E., The gator tech smart house : A programmable pervasive space, Computer, 2005, Vol. 38, No. 3, pp. 50-60. https://doi.org/10.1109/MC.2005.107
- Jakkula, V.R. and Cook, D.J., Detecting anomalous sensor events in smart home data for enhancing the living experience, Proceedings of the 7th AAAI Conference on Artificial Intelligence and Smarter Living, 2011, pp. 33-37.
- Jung, H. and Kim, J.-W., A Machine Learning Approach for Mechanical Motor Fault Diagnosis, Journal of the Society of Korea Industrial and Systems Engineering, 2017, Vol. 40, No. 1, pp. 57-64. https://doi.org/10.11627/jkise.2017.40.1.057
- Kim, Y.K., Six elements of Smart-home ecosystem, Digieco, 2014. 11. 26.
- Park, S.H., Kim, J.S., Park, C.S., Kim, S.S., and Baek, J.G., A Fault Detection of Cyclic Signals Using Support Vector Machine-Regression, Journal of Korean Society for Quality Management, 2011, Vol. 39, No. 2, pp. 234-243.
- Saaty, T.L., A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 1977, Vol. 15, No. 3, pp. 234-281. https://doi.org/10.1016/0022-2496(77)90033-5
- Saaty, T.L., The Analytic Hierarchy Process : Planning, Priority Setting, Resource Allocation, Advanced book program, McGraw-Hill, 1980.
- Spencer, B. and Al-Obeidat, F., Temperature Forecasts with Stable Accuracy in a Smart Home, Procedia Computer Science, 2016, Vol. 83, pp. 726-733. https://doi.org/10.1016/j.procs.2016.04.160
- Suryadevara, N.K., Mukhopadhyay, S.C., Wang, R., and Rayudu, R., Forecasting the behavior of an elderly using wireless sensors data in a smart home, Engineering Applications of Artificial Intelligence, 2013, Vol. 26, No. 10, pp. 2641-2652. https://doi.org/10.1016/j.engappai.2013.08.004
- Tsai, C.-W., Lai, C.-F., Chiang, M.-C., and Yang, L., Data mining for internet of things : A survey, Communications Surveys Tutorials, IEEE, 2014, Vol. 16, No. 1, pp. 77-97. https://doi.org/10.1109/SURV.2013.103013.00206
- Witten, I.H., Frank, E., and Hall, M.A., Data Mining : Practical machine learning tools and techniques, 3rd ed, Morgan Kaufmann, 2011.
- Zhou, B., Li, W., Chan, K.W., Cao, Y., Kuang, Y., Liu, X., and Wang, X., Smart home energy management systems : Concept, configurations, and scheduling strategies, Renewable and Sustainable Energy Reviews, 2016, Vol. 61, pp. 30-40. https://doi.org/10.1016/j.rser.2016.03.047
피인용 문헌
- Operation Scheduling in a Commercial Building with Chiller System and Energy Storage System for a Demand Response Market vol.19, pp.8, 2017, https://doi.org/10.5762/kais.2018.19.8.312
- 개인 정보가 노출된 목표 객체의 블로킹 알고리즘 vol.20, pp.4, 2019, https://doi.org/10.5762/kais.2019.20.4.43
- ν-ASVR을 이용한 공구라이프사이클 최적화 vol.43, pp.4, 2017, https://doi.org/10.11627/jkise.2020.43.4.208
- Understanding of Physical Activity in Social Ecological Perspective: Application of Multilevel Model vol.12, pp.None, 2021, https://doi.org/10.3389/fpsyg.2021.622929