Given a scene to illuminate satisfying a specific set of lighting intentions, the inverse lighting techniques allow us to obtain the unknown light source parameters, such as light position or flux emission.
This component is able to manage and to adjust dynamically and online the acquisition conditions (i.e., camera positions and lighting source parameters such as their position and/or intensity), leading eventually to replanning of the process, in order to improve the quality of the image data required by the 3D reconstruction step.
Forest defoliation and discoloration have been monitored extensively in Europe over the past decade, yet the number of published studies seeking to interpret these data in light of environmental parameters such as lithology and airborne pollution are few.
The angle-resolved LCI technique depends on a light scattering model to invert measurements of scattered light into biologically useful parameters such as size, orientation, shape and structures at cellular level.
When humping occurs, the correlation between visible light radiation and exterior physical parameters such as keyhole, plume, etc. increases.
Ensuing discussions shed light on the impact of parameters, such as thickness of upright profile, depth of pallet beam profile, construction details of beam-end-connector on the stiffness and moment capacity of such connections.
For the case of high conversion this ratio monotonically decreased with the increase of the process parameters (such as light intensity and space time), while for the case of high conversion it passed through a minimum.
The effects of process parameters such as light intensity, initial dye concentration, photocatalyst loading and initial solution pH on the decolorization rate of Orange II have been systematically investigated.
To guarantee the optical quality of a rigid endoscope, the ScopeControl has been developed to measure key optical parameters such as, light transmission (LT), color correctness (CC), focus (FC), fiber transmission (FT), viewing angle (VA) and field of view (FV).
The aim of this study was to optimize physical parameters such as light intensity, temperature and agitation rate which might affect the cultivation of Dunaliella salina strain EgeMacc-024.
