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An adaptive smart lighting system

Published: 06 November 2012 Publication History

Abstract

This demo abstract introduces an adaptive lighting testbed in the Smart Lighting Engineering Research Center located at Rensselaer Polytechnic Institute to highlight the advantages and capabilities of smart lighting systems. This testbed has been designed for experiments on a variety of topics such as color control, energy efficiency, self-commissioning, human factor studies, and localization. Section 2 describes the hardware and software used in the adaptive lighting testbed. Section 3 presents different types of experiments carried out using the testbed. The graphical user interface designed to monitor different performance criteria and adjust the design parameters is described in section 4.

References

[1]
John Wason and John Wen. Robot Raconteur: A Communication Architecture and Library for Robotic and Automation Systems. In IEEE International Conference on Automation Science and Engineering, 2011.
[2]
Sina Afshari, Sandipan Mishra, Agung Julius, Fernando Lizarralde, and John Wen. Modeling and feedback control of color-tunable led lighting systems. In Proceedings of the 2012 American Control Conference, ACC, 2012.

Cited By

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  • (2022)Evaluating Energy Efficiency and Colorimetric Quality of Electric Light Sources Using Alternative Spectral Sensitivity FunctionsBuildings10.3390/buildings1212222012:12(2220)Online publication date: 14-Dec-2022
  • (2018)Kundenseitige Präferenz für Basistechnologien ‚smarter‘ Produkte: eine Untersuchung am Beispiel von ‚Smart Lighting‘-SystemenDie informatisierte Service-Ökonomie10.1007/978-3-658-21528-6_9(183-205)Online publication date: 28-Mar-2018
  • (2016)A Plug-and-Play Realization of Decentralized Feedback Control for Smart Lighting SystemsIEEE Transactions on Control Systems Technology10.1109/TCST.2015.248788024:4(1317-1327)Online publication date: Jul-2016
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Published In

cover image ACM Conferences
BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
November 2012
227 pages
ISBN:9781450311700
DOI:10.1145/2422531

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

View all
  • (2022)Evaluating Energy Efficiency and Colorimetric Quality of Electric Light Sources Using Alternative Spectral Sensitivity FunctionsBuildings10.3390/buildings1212222012:12(2220)Online publication date: 14-Dec-2022
  • (2018)Kundenseitige Präferenz für Basistechnologien ‚smarter‘ Produkte: eine Untersuchung am Beispiel von ‚Smart Lighting‘-SystemenDie informatisierte Service-Ökonomie10.1007/978-3-658-21528-6_9(183-205)Online publication date: 28-Mar-2018
  • (2016)A Plug-and-Play Realization of Decentralized Feedback Control for Smart Lighting SystemsIEEE Transactions on Control Systems Technology10.1109/TCST.2015.248788024:4(1317-1327)Online publication date: Jul-2016
  • (2016) 17-2: Invited Paper : Advanced Sensing and Control in the Smart Conference Room at the Center for Lighting Enabled Systems and Applications SID Symposium Digest of Technical Papers10.1002/sdtp.1063447:1(193-196)Online publication date: 25-May-2016
  • (2015)A Multidimensional Continuous Contextual Lighting Control System Using Google GlassProceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments10.1145/2821650.2821673(235-244)Online publication date: 4-Nov-2015
  • (2014)Occupancy distribution estimation for smart light delivery with perturbation-modulated light sensingJournal of Solid State Lighting10.1186/s40539-014-0017-21:1Online publication date: 14-Oct-2014
  • (2013)Challenges in Retaining Privacy in Smart SpacesProcedia Computer Science10.1016/j.procs.2013.06.07419(556-564)Online publication date: 2013

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