LIFI based Voice transmission for Coal Mine Safety Monitoring and Control Automation

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Lightweight Mash up for Coal Mine Safety Moni- toring and Control Automation This paper plans an observing framework for coal mine dependent on LIFI transmission. The checking framework gathers temperature, gas level underground of coal mine through sensor hubs around the mine, and after  that transmits the information to the data handling terminal dependent on . What’s more, the client can move the data in  voice motion through LI-FI. Additionally, four sorts of  coal  mine security checking and control computerization situations are represented, and the execution has likewise been estimated and investigated. It has been demonstrated that our lightweight concoction middle ware can diminish the expenses proficiently to make coal mine observing and control applications.

     


  • Keywords


    lifi, coalmine, automation

  • References


      [1] Abdul: "Wi-Fi-based Mine Safety Application” of International Journal of Scientific and Research Publications. 4, issue 1, Jan 2014.

      [2] J. Song et.al, 2011, “Automatic monitoring system for coal mine security dependent on remote sensor arrange,” in . 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, pp.933-936.

      [3] N., W., H., “Seismic Monitoring in Underground Mines: An instance of Muffler Mine in Zambia Using remote Sensor Networks for Seismic Monitoring”, . IEEE International Conference on Electronics and Information Engineering, vol. 1(V1), pp. 310-14, 2010.

      [4] P. and M. S. “Techniques improving throughput of wireless sensor network: A survey,” in . Int. . . Circuit, Power Mar. 2015, pp.1–5.

      et al., 2008, "Vehicular Ad Networks: another test: a new challenge for localization-based systems,” pp.1-12.

      [5] , Jeffrey Wong, , , Haruo Noma, , , , 2008, “A ZigBee- based sensor node for tracking people’s locations”, proceed- ings of the 2nd ACM international conference on Context- awareness for self managing systems, pp.34-38.

      [6] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hiding”, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

      [7] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysis”, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

      [8] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interface”, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

      [9] .Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classification”, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

      [10] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videos”, International Journal of Applied Engineering Research,Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.

      [11] AntoBennet, M & JacobRaglend, “Performance Analysis Of Filtering Schedule Using Deblocking Filter For The Reduction Of Block Artifacts From MPEQ Compressed Document Images”, Journal of Computer Science, vol. 8, no. 9, pp. 1447-1454, 2012.

      [12] AntoBennet, M & JacobRaglend, “Performance Analysis of Block Artifact Reduction Scheme Using Pseudo Random Noise Mask Filtering”, European Journal of Scientific Research, vol. 66 no.1, pp.120-129, 2011.


 

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Article ID: 28923
 
DOI: 10.14419/ijet.v7i4.6.28923




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