COMPUTER DOMAIN
Published August 17, 2021 | Version v1
Journal article Open

Internet based and Energy Saving Smart Home Automation System

Creators

  • 1. Student, Department of Computer Science and Engineering, East West College of Engineering, Bangalore, India.
  • 2. Professor, Department of Computer Science and Engineering, East West College of Engineering, Bangalore, India.

Description

Advances in IOT applications have become the cutting-edge technology among researchers as a result of the widespread availability of the Internet. This paper proposes a Smart Energy Efficient Home Automation System” that can access and control home equipment from anywhere in the world. Home automation is based on a multimodal programme that can be controlled using the Google Assistant's voice recognition feature or a web-based application. As a result, the main purpose of this project is to improve the security and intelligence of our home automation system.

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References

  • Damacharla, P., Javaid, A. Y., Gallimore, J. J., & Devabhaktuni, V. K. (2018). Common metrics to benchmark human-machine teams (HMT): A review. IEEE Access, 6, 38637-38655.
  • Benderius, O., Berger, C., & Lundgren, V. M. (2017). The best rated human–machine interface design for autonomous vehicles in the 2016 grand cooperative driving challenge. IEEE Transactions on intelligent transportation systems, 19(4), 1302-1307.
  • Xu, Z., Wang, R., Yue, X., Liu, T., Chen, C., & Fang, S. H. (2018). FaceME: Face-to-machine proximity estimation based on RSSI difference for mobile industrial human–machine interaction. IEEE Transactions on Industrial Informatics, 14(8), 3547-3558.
  • Ziegler, S., Nikoletsea, S., Krco, S., Rolim, J., & Fernandes, J. (2015, December). Internet of Things and crowd sourcing-a paradigm change for the research on the Internet of Things. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) (pp. 395-399). IEEE.
  • Menon, K. D., Raj Jain, A., & Kumar Pareek, D. (2019). Quantitative analysis of student data mining.
  • Pai H, A., HS, S., Soman, S., Pareek, D., & Kumar, P. (2019). Analysis of causes and effects of longer lead time in software process using FMEA. Piyush Kumar, Analysis of Causes and Effects of Longer Lead Time in Software Process Using FMEA (May 17, 2019).
  • Pai H, A., HS, S., Soman, S., Pareek, D., & Kumar, P. (2019). ROC Structure Analysis of Lean Software Development in SME's Using Mathematical CHAID Model. Piyush Kumar, ROC Structure Analysis of Lean Software Development in SME's Using Mathematical CHAID Model (May 17, 2019).
  • HS, S., Soman, S., & Kumar Pareek, D. (2019). Fast and efficient parallel alignment model for aligning both long and short sentences.
  • BR, M., Bhavya, B. R., Pareek, D., & Kumar, P. (2016). Education Data Mining: Perspectives of Engineering Students. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN, 2347-5552.
  • Kotagi, M., & Pareek, P. K. (2016). Survey on Challenges in DevOps. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN, 2347-5552.