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Smart Lighting Project BEST Home | Project Info | Presentations | Publications | People | Links Agogino, A.M, J. Granderson and Y.-J. Wen, Efficient Lighting by Sensing and Actuating with MEMS 'Smart Dust Motes': A Feasibility Study, Final Report, Energy Innovations Small Grant (EISG) Program, Grant #03-20, March 2007. Wen, Y.-J., Granderson, J. and Agogino, A.M., Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings, Proceedings of IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, 2006, pp 326-331. Wen, Y.-J., Agogino, A.M. and Goebel K., Fuzzy Validation and Fusion for Wireless Sensor Networks, Proceedings of the ASME International Mechanical Engineering Congress, Anaheim, CA, 2004. Wen, Y.-J, Smart Dust Sensor Mote Characterization, Validation, Fusion and Actuation, Master's Report, University of California, Berkeley, Fall 2004. Granderson J, Wen Y.-J, Agogino A.M., and Goebel K., Towards Demand-Responsive Intelligent Lighting With Wireless Sensing and Actuation, Proceedings of the IESNA (Illuminating Engineering Society of North America) 2004 Annual Conference, Tampa, FL, 2004, pp.265-274. Sandhu JS, Agogino AM, and Agogino AK, Wireless Sensor Networks for Commercial Lighting Control: Decision Making with Multi-agent Systems, Working Notes of the AAAI-04 Sensor Networks Workshop, pp. 88-92. Dubberly M, Life-cycle Assessment of Intelligent Lighting System using Distributed Mote Network, University of California, Berkeley, Master's Report, Fall 2003. Yozell-Epstein R, Economic, Energy and User Needs Analysis of Intelligent Lighting Systems, Master's Report, University of California, Berkeley, Spring 2003. Agogino AM, Granderson J, and Qiu S, Intelligent Sensor Validation and Fusion with Distributed 'MEMS Dust' Sensors [abstract only], Proceedings of the AAAI 2002 Spring Symposium, 2002, pp. 51-57. |