Smart Lighting Project
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Fifty Percent Energy Savings with Innovative Energy-Efficient Office Lighting
presented on 9/7/2007 at BEST Lab by Yao-Jung Wen and Alireza Lahijanian

Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings
presented on 6/6/2006 at the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing by Yao-Jung Wen

Recent on-goings in Windows and Daylighting R&D for Commercial Buildings
presented on 10/3/2005 at BEST Lab by Eleanor S. Lee, Scientist/Architect, Windows and Daylighting Group, Building Technologies Program, Environmental Technologies Division, Lawrence Berkeley National Laboratory (LBNL)

Fuzzy Validation and Fusion for Wireless Sensor Networks
presented on 11/16/2004 at the 2004 ASME International Mechanical Engineering Congress by Yao-Jung Wen

Smart Dust Sensor Mote Characterization, Validation, Fusion and Actuation
presented on 11/19/2004 at BEST Lab by Yao-Jung Wen

Towards Demand Responsive Intelligent Lighting With Wireless Sensing and Actuation
presented on 7/27/2004 at the IESNA 2004 Annual Conference by Jessica Granderson

Wireless Sensor Networks for Commercial Lighting Control: Decision Making with Multi-agent Systems
presented on 7/26/2004 at AAAI-04 Workshop on Sensor Networks by Jaspal Sandhu

Calibration, Validation and Fusion, and Actuation for Motes
presented on 6/29/2004 at BEST Lab by Yao-Jung Wen

Wireless Sensor Networks for Intelligent Control of Commercial Daylighting Systems
presented on 2/26/2004 at CITRIS Corporate Sponsor Day Poster Session

Lighting and Medical Personalization: Optimizing Efficiency and Customer Satisfaction
presented on 1/28/2004 at UCB Sensor Nets Day by Alice Agogino

MEMS Smart Dust Motes for Designing, Monitoring & Enabling Efficient Lighting
presented on 11/03/2003 at BEST Lab by Jessica Granderson and Yao-Jung Wen

Intelligent Energy Efficiency for Commercial Lighting
presented on 8/05/2003 at BEST Lab by Jessica Granderson and Yao-Jung Wen

Smart Dust Mote Temperature and Illuminance Calibration
presented on 7/21/2003 at BEST Lab by Jessica Granderson and Yao-Jung Wen

Economic, Energy and User Needs Analysis of Intelligent Lighting Systems
presented on 5/12/2003 at BEST Lab by Rebekah Yozell-Epstein

MEMS 'Smart Dust Motes' for Designing, Monitoring & Enabling Efficient Lighting - Spring 2003
presented on 3/27/2003 at BEST Lab by Jessica Granderson and Yao-Jung Wen

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questions regarding the research? contact:  riowen at uclink dot berkeley dot edu