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Somnath A. Zambare, Vaibhav Kengar, Vrushabh Mali, Ranjeet Mane, Shubham Zombade
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- Professor,, Student,, Student,, Student,, Student, Department of, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Department of, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Department of, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Department of, SKN Sinhgad College of Engineering, Korti, Pandharpur,, Department of, SKN Sinhgad College of Engineering, Korti, Pandharpur, Maharashtra,, Maharashtra,, Maharashtra,, Maharashtra,, Maharashtra, India, India, India, India, India
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Abstract
nThis is an overview of an innovative computer lab system designed to enhance energy efficiency by automatically controlling lights and fans based on human presence detection. The system employs a combination of sensors, software, and smart controls to optimize energy consumption in computer labs, a sustainable and eco-friendly environment. The proposed computer lab system integrates motion sensors strategically placed throughout the lab, a real-time monitoring of human presence. When the system detects no human activity for a predefined period, it triggers an automated process to turn off lights and fans. Conversely, when individuals enter the lab, the system recognizes their presence and activates the necessary lighting and fan settings. In terms of technology, the creation of an automation system for computer labs that is designed to track the presence of people and coordinate the smooth operation of the lighting and ventilation is a big step forward. Fundamentally, this technology uses state-of-the-art motion sensors to bring in a new era of unmatched efficiency and user-centric convenience. This computer lab system offers a sustainable solution for optimizing energy usage in educational and professional environments while prioritizing user comfort and convenience. It contributes to the ongoing efforts to create eco-conscious spaces and promote energy conservation.
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Keywords: Innovative computer lab system, Energy efficiency, Human presence detection, Smart controls, Sensors
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Electronic Design Technology(joedt)]
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References
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- Zambare, S.A., Sawant, N.M. (2024). Performance Analysis of Patient Centric EHR Through Hyperledger Fabric. In: Gunjan, V.K., Zurada, J.M., Singh, N. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 1117. Springer, Cham. https://doi.org/10.1007/978-3-031-43009-1_28
- Smith JD, Hasan M. Quantitative approaches for the evaluation of implementation research studies. Psychiatry Res. 2020 Jan; 283:112521. doi: 10.1016/j.psychres.2019.112521. Epub 2019 Aug 17. PMID: 31473029; PMCID: PMC7176071.
- G. Ticona-Zela, P. R. Yanyachi and D. D. Yanyachi, “Remote Laboratory for Learning on Automation of Systems and Control Process with Easy Access and Low-Cost,” 2022 IEEE ANDESCON, Barranquilla, Colombia, 2022, pp. 1-6
- P. Minchev and A. I. Dimitrov, “Laboratory Automation System Using IOT Devices,” 2020 21st International Symposium on Electrical Apparatus Technologies (SIELA), Bourgas, Bulgaria, 2020, pp. 1-4, doi: 10.1109/SIELA49118.2020.9167121.
- W. Frazer, T. A. Brubaker and J. H. Van Drie, “Time response and bandwidth in laboratory automation,” in Proceedings of the IEEE, vol. 63, no. 10, pp. 1503-1508, Oct. 1975, doi: 10.1109/PROC.1975.
- Samuel, Peterson @ Robinson (2003) “School Management system ScMS” School Management System / Peterson @ Robinson J. Samuel. Undergraduates’ thesis– Faculty of Computer Science Information Technology, University of Malaya, 2002/200
- Mouratis, Kyriakos, Georgios Stivaktakis, and Michael Sfakiotakis. “Remote access laboratory setup for physical computing courses.” 2022 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE). IEEE, 2022.
- Ondersma SJ, Martino S, Svikis DS, Yonkers KA. Commentary on Kim et al. (2017): Staying focused on non-treatment seekers. Addiction. 2017 May;112(5): doi: 10.1111/add.13736. PMID: 28378329; PMCID: PMC6552680
- Kumar S, Grefenstette JJ, Galloway D, Albert SM, Burke DS. Kumar et al. responds. Am J Public Health. 2014 Jan;104(1): e1-2. doi: 10.2105/AJPH.2013.301676. Epub 2013 Nov 14. PMID: 24228647; PMCID: PMC3910059.
- Mulani, A. O., and Mane, P. B. (2017). Watermarking and cryptography-based image authentication on reconfigurable platform. Bulletin of Electrical Engineering and Informatics, 6(2), 181-187.
- Deshpande, H. S., Karande, K. J., and; Mulani, A. O. (2014, April). Efficient implementation of AES algorithm on FPGA. In 2014 International Conference on Communication and Signal Processing (pp. 1895-1899). IEEE.
- Swami, S. S., and Mulani, A. O. (2017, August). An efficient FPGA implementation of discrete wavelet transform for image compression. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 3385-3389). IEEE.
- Mane, P. B., and Mulani, A. O. (2018). High speed area efficient FPGA implementation of AES algorithm. International Journal of Reconfigurable and Embedded Systems, 7(3), 157-165.
- Kulkarni, P. R., Mulani, A. O., and Mane, P. B. (2017). Robust invisible watermarking for image authentication. In Emerging Trends in Electrical, Communications and Information Technologies: Proceedings of ICECIT-2015(pp. 193-200). Springer Singapore.
- Mulani, A. O., and Mane, P. B. (2016). Area efficient high-speed FPGA based invisible watermarking for image authentication. Indian journal of Science and Technology.
- Kashid, M. M., Karande K. J., and Mulani, A. O. (2022). IoT-based environmental parameter monitoring using a machine learning approach. In Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 1 (pp. 43-51). Singapore: Springer Nature Singapore.
- Seth, M. (2022). Painless Machine learning approach to estimate blood glucose level of Non-Invasive device. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.
- Mulani, A. O., Birajadar, G., Ivković, N., Salah, B., and Darlis, A. R. (2023). Deep learning-based detection of dermatological diseases using convolutional neural networks and decision trees. Treatment du Signal, 40(6), 2819-2825.
- Sandeep Kedar and A. O. Mulani (2024), IoT Based Soil, Water and Air Quality Monitoring System for Pomegranate Farming, NATURALISTA CAMPANO, Vol. 28
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 12, 2024 | |
| Accepted | May 27, 2024 | |
| Published | June 13, 2024 |
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