Sustainable Smart Helmet For Coal Miners

Open Access

Issue		E3S Web Conf. Volume 430, 2023 15^th International Conference on Materials Processing and Characterization (ICMPC 2023)


Article Number		01099
Number of page(s)		13
DOI		https://doi.org/10.1051/e3sconf/202343001099
Published online		06 October 2023

Jeevan Nagendra Kumar, Y., Spandana, V., Vaishnavi, V.S., Neha, K., Devi, V.G.R.R. Supervised machine learning Approach for crop yield prediction in agriculture sector (2020) Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, art. no. 09137868, pp. 736-741. [Google Scholar]
Prasanna Lakshmi, K., Reddy, C.R.K. A survey on different trends in Data Streams (2010) ICNIT 2010 - 2010 International Conference on Networking and Information Technology, art. no. 5508473, pp. 451-455. [Google Scholar]
Web of Things-Based Remote Monitoring System for Coal Mine Safety Using Wireless Sensor Network Cheng Bo, Cheng Xin, Zhai Zhongyi, Zhang Chengwen, Chen Junliang First Published August 31, 2014. [Google Scholar]
A.P. Squelch, “Virtual reality for mine safety training in South Africa,” Thes Journal of The South African Institute of Mining and Metallurgy, pp. 209-216, July 2001. [Google Scholar]
X.B. Jiang, ZigBee technology and its applications Low-voltage apparatus, 2005. [Google Scholar]
Z.J. Tian, Digital Mobile Voice Communication Encode and Voice Communication Designed [J]. China Coal, 2007. [Google Scholar]
H.M. Zhu and L. Zhang, The Design of Warp Tension Embedded Intelligent Control System Based on μC/OS and ARM [J]. Mechanical & Electrical Engineering Magazine, 2006. [Google Scholar]
X.M. Wang and N.A. Liu, 2.4GHz RF Chip CC2420 and Its Application in ZigBee Communication [J]. International Electronic Elements, 2005. [Google Scholar]
X. Zhang, X.J. Qiao and E. Liu, Design of High Precision Instrument for Measuring Temperature, Humidity & Dew Point [J]. Instrument Technique and Sensor, 2006. [Google Scholar]
L. Ma and H. Guo, Smart Sensor for Underground Coal Mine Based on ZigBee Protocol [J]. Instrument Technique and Sensor, 2007. [Google Scholar]
Hazarika, P. (2016, July). Implementation of smart safety helmet for coal mine workers. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1-3). IEEE. [Google Scholar]
Revindran, R., Vijayaraghavan, H., & Huang, M. Y. (2018, September). Smart helmets for safety in mining industry. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 217-221). IEEE. [Google Scholar]
Behr, C. J., Kumar, A., & Hancke, G. P. (2016, March). A smart helmet for air quality and hazardous event detection for the mining industry. In 2016 IEEE International Conference on Industrial Technology (ICIT) (pp. 2026-2031). IEEE. [Google Scholar]
Mishra, A., Malhotra, S., & Singh, H. P. (2018, February). Real Time Monitoring &Analyzation Of Hazardous Parameters In Underground Coal Mines Using Intelligent Helmet System. In 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) (pp. 1-5). IEEE. [Google Scholar]
Sankara Babu, B., Suneetha, A., Charles Babu, G., Jeevan Nagendra Kumar, Y., Karuna, G. Medical disease prediction using grey wolf optimization and auto encoder based recurrent neural network (2018) Periodicals of Engineering and Natural Sciences, 6 (1), pp. 229-240. [CrossRef] [Google Scholar]
Nagaraja, A., Boregowda, U., Khatatneh, K., Vangipuram, R., Nuvvusetty, R., Sravan Kiran, V. Similarity Based Feature Transformation for Network Anomaly Detection (2020) IEEE Access, 8, art. no. 9006824, pp. 39184-39196. [CrossRef] [Google Scholar]

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