This paper argues that analytical approaches (i.e., simulation) and inductive learning methods (i.e., neural networks) can cooperate to facilitate a daylight responsive lighting control strategy. Multiple hybrid controllers are designed to meet four control goals: enriching the informational repertoire of systems control operations for lighting (by inclusion of performance indicators for glare ...

An imaging sensor-based intelligent Light Emitting Diode (LED) lighting system for desk use is proposed. In contrast to the traditional intelligent lighting system, such as the photosensitive resistance sensor-based or the infrared sensor-based system, the imaging sensor can realize a finer perception of the environmental light; thus it can guide a more precise lighting control. Before this sys...

Smart Cities is a domain of great interest in the modern society. The aim of a smart urban environment is to increase citizens’ comfort and quality of life with minimum resources and power consumption and without affecting the natural environment. Street lighting is one of the main interests in such a smart environment. This thesis focuses on implementing a lighting control system that makes st...

Nowadays, energy saving is one of the most important factor to consider. Automated lighting systems are a solution for efficient use of lighting which forms a large part of world’s total energy consumption. However, today automated lighting solution when employed in indoor environments like homes and offices are not very effective. Since indoor environment have users with different and varying ...

Lighting control is in the midst of radical change. Presentday state-of-the-art lighting systems tend to be extremely complex. They exhibit very flexible actuation possibilities with many degrees of freedom that can be exploited to answer dynamiclighting needs. However, user interfaces to these systems are woefully lacking. They are frequently denigrated to a panel of buttons that select partic...