Open Access
Issue
MATEC Web Conf.
Volume 220, 2018
2018 The 2nd International Conference on Mechanical, System and Control Engineering (ICMSC 2018)
Article Number 05002
Number of page(s) 5
Section Mechanical and Electronic Engineering
DOI https://doi.org/10.1051/matecconf/201822005002
Published online 29 October 2018
  1. M. David, “The solar energy tracker,” PhD dissertation, University of Canterbury, New Zealand, 2008. [Google Scholar]
  2. Guo, R.; Dai, Q.; Hoiem, D. Single-image shadow detection and removal using paired regions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 20-25 June 2011; pp. 2033-2040. [Google Scholar]
  3. Khan, S.H.; Bennamoun, M.; Sohel, F.; Togneri, R. Automatic feature learning for robust shadow detection. In Proceedings of the IEEE Conference on Computer [Google Scholar]
  4. Pooja K. ChhatwaniProf., Jayashree SomaniProf., “Intelligent solar tracker system implemented on 8051 microcontroller”. International Journal of Engineering Trends and Technology, Vol. 4, Issue 9, pp 4267-4271, Sep. 2013. [Google Scholar]
  5. Deepthi. S, Ponni. A, Ranjitha. R, R. Dhanabal, “Comparison of efficiencies of single axis tracking system and dual axis tracking system with fixed mount”. International Journal of Engineering Science and Innovation Technology (IJESIT), March 2013, vol. 2, Issue 2, pp 425-430. [Google Scholar]
  6. N.Othman, M.I.A. Manan, Z. Othman, S.A.M. AlJunid, “Performance Analysis of Dual-axis Solar Tracking System”, IEEE International Conference on Control System, Computing and Engineering, 29 Nov. - 1 Dec. 2013, pp 370-375. [Google Scholar]
  7. Poulek, V., Libra, M. “A Very Simple Solar tracker for Space and Terrestrial Applications”. Solar Energy Materials and Solar Cells. 2009. Pages 99-101. [Google Scholar]
  8. Luigi T. De Luca, Propulsion physics (EDP Sciences, Les Ulis, 2009) [Google Scholar]
  9. F. De Lillo, F. Cecconi, G. Lacorata, A. Vulpiani, EPL, 84 (2008) [CrossRef] [EDP Sciences] [Google Scholar]

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