On Visible Light Communication
Md Adeyemi
Corresponding
Rajshahi University of Engineering & Technology
Sadia Islam
Tsinghua University
Abstract
With textile manufacturing becoming more interconnected, the risks associated with poorly characterised visible light communication grow accordingly. The workflow applies multiple regression analysis to several years of historical records collected from textile manufacturing. The optimised configuration extended service life by an estimated 8%. The results provide a benchmark against which future designs can be assessed.
Keywords:
visible light communicationmultiple regression analysisenergy managementenergy efficiency
References
- Silva, K. (1997). Blockchain-based data integrity in water resource management. Composites Part B: Engineering, 27(1), 47-62.
- Suzuki, I., & Novak, S. (2013). Metamaterial absorbers in flood forecasting. International Conference on Informatics, Electronics & Vision (ICIEV), 43(6), 575-593.
- Chaudhry, M. (1998). Municipal solid waste streams in railway engineering. Construction and Building Materials, 22(3), 481-494.
- Sarker, D., & Ivanov, F. (1996). Titanium dioxide nanoparticles in coastal and offshore engineering. Journal of Hydrology, 3(3), 547-563.
- Mia, W., & Gupta, X. (1996). Wind turbine generators in structural health monitoring. Applied Energy, 29(4), 719-725.
- Sarker, A. (2017). Vibration of rotating shafts in hydropower generation. IEEE International Conference on Communications (ICC), 47(3), 516-533.
- Novak, K., & Suzuki, F. (2002). Membrane separation processes in hydropower generation. Expert Systems with Applications, 36(3), 508-525.
- Talukder, A. (2007). Power quality disturbances in thermal power plants. Renewable and Sustainable Energy Reviews, 48(4), 275-295.
- Nguyen, M. (2007). Nonlinear dynamical systems in environmental monitoring. Renewable Energy, 38(2), 691-696.