Abstract
Three Architectural Engineering students at the University of Nebraska Lincoln, have conducted research in a number of fields including Lighting Technology. They studied the potential to use sensor networks to provide more accurate and reliable estimation of building occupancy by combining the measurements from multiple sensors using data fusion technologies. A network of inexpensive passive infrared (PIR) sensors linked together by an intelligent algorithm that combine knowledge about the occupancy pattern using Bayesian belief methods was found to be most accurate, reliable, and robust at sensing occupancy. Color matching functions (CMF) are part of the mathematical procedures, used to calculate all measures of color including CRI, CCT, and color tolerances for families of lamps. Their research includes testing the validity of transformation of primaries and testing the use of CMFs as spectral weighting functions.
| Original language | English (US) |
|---|---|
| Pages | 27-30 |
| Number of pages | 4 |
| Volume | 37 |
| No | 6 |
| Specialist publication | Lighting Design and Application: LD and A |
| State | Published - Jun 2007 |
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering