Abstract
There is a need for reliable lighting design applications because available tools are limited and inappropriate for interactive or creative use. Architects and lighting designers need those applications to define, predict, test and validate lighting solutions for their problems. We present a new approach to the lighting design problem based on a methodology that includes the gelometry of the scene, the properties of materials and the design goals. It is possible to obtain luminaire characteristics or other kind of results that maximise the attainment of the design goals, which may include different types of constraints or objectives (lighting, geometrical or others). The main goal, in our approach, is to improve the lighting design cycle. In this work we discuss the use of optimisation in lighting design, describe the implementation of the methodology, present real-world based examples and analyse in detail some of the complex technical problems associated and speculate on how to overcome them.

Abstract
This paper presents a description of the image generation sub-system developed to allow the presentation of realistic visual feedback in interactive visual simulation with large scene databases. The developed image generator applies all the standard state-of-art image generation algorithms aimed to real-time interactive simulation. Some of these important algorithms are also explained in this document. I addition, some innovative optimization techniques like the hierarchical back face rejection of objects, the visibility preprocessing and the automatic optimization of levels-of-detail are being developed and detailed in this paper. These techniques will allow a better use of any image generation system and improve significantly the visualization of huge scene databases even in high-end graphics architectures.

Abstract
In this paper we introduce a classification for spatio-temporal systems based on the properties of the represented objects. Building on this classification, we assert that complex objects can be derived from simpler ones, following an evolutionary approach which starts with the study of simple objects and ends by enriching them with new features. This paper focuses on the definition of a data model for the representation of moving points. The model is based on the decomposition of the trajectory of moving points into sections. The movement within each section of a trajectory is described by a variability function. Because for most systems is not possible to store the exact knowledge about the movement of an object, the answers to queries may be imprecise. We propose two additional approaches to deal with impression-the superset and the subset semantics-based on a maximum value for the variability function, and a smooth technique to integrate them in the model. Finally, we analyze certain functional aspects of the implementation of the data model in a Relational Database Management System (RDBMS) and outline directions for future research.

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