Abstract
Good lighting condition is a key element in assuring worker satisfaction and performance. The traditional focus of lighting design has been to ensure the visibility of paper-based tasks carried out on desktops (horizontal desk surfaces), tool-based jobs carried out in the foundry and a score of other engagements encountered in this work-a-day world by controlling the prevailing ambient lighting condition so as to ensure the optimum recommended light values. Moreover, one not only needs to control the illuminance in an illuminated scene, but also has to keep under control the luminance, glare, non-uniformity and flicker arising therein. These issues have been addressed by the Illuminating Engineering Society of North America (IESNA) [217, 218].
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
J.T. Tou, R.C. Gonzalez, Pattern Recognition Principles (Addison-Wesley, 1974)
R.O. Duda, P.E. Hart, Pattern Classification and Scene Analysis (Wiley, New York, 1973)
M. Rea (ed.), Illuminating Engineering Society of North America (IESNA) Lighting Handbook, 9th edn. (IESNA, New York, 2000)
IESNA, American National Standard Practice for Office Lighting, Technical Report ANSI/IESNA-RP-1-04, Illuminating Engineering Society of North America (IESNA), New York, 2004
J.A. Veitch, G.R. Newsham, Preferred luminous conditions in open-plan offices: research and practice recommendations. Light. Res. Technol. 32(4), 199–212 (2000)
R.S. Steffey, Lighting the Electronic Office (Van Nostrand Reinhold, New York, 1995)
B. Ray, A.K. Datta, Neural network image processing technique for energy-efficient lighting, in Proceedings of International Conference on Fiber Optics and Photonics, Calcutta, India, 2000, vol. 2, pp. 714–716
B.J.T. Fernandes, G.D.C. Cavalcanti, T.I. Ren, Classification and segmentation of visual patterns based on receptive and inhibitory fields, in Proceedings of the 8th International Conference on Hybrid Intelligent Systems, Barcelona, 2008, pp. 126–131
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bhattacharyya, S., Maulik, U. (2013). Energy-Efficient Intelligent Lighting Control Using a Multilayer Perceptron. In: Soft Computing for Image and Multimedia Data Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40255-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-40255-5_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40254-8
Online ISBN: 978-3-642-40255-5
eBook Packages: Computer ScienceComputer Science (R0)