Projecto de reabilitação do antigo Palacete da família Feu Guião

Esta dissertação trata da problemática da Reabilitação de edifícios. Abordando deste modo os prós e contras da prática da conservação ou reabilitação. De um modo geral, para além da população de uma cidade, os edifícios constituem a imagem da cidade, bem como conferem a sua identidade. Deste modo, os edifícios antigos salvaguardam o património histórico, preservando toda a sua identidade cultural, bem como as memórias. Com a história dos edifícios, é possível revelar a nossa identidade, a qual faz parte da nossa herança cultural. Deste modo, o antigo palácio da Família Feu Guião, faz parte de um dos exemplos mais notáveis da arquitectura existente no Bairro da Fonte Nova, tratando-se de um edifício dos finais do século XVIII, possui uma grande História não só pelas várias gerações que por ali passaram, como também pelas várias épocas de construção. No entanto, encontra-se em mau estado de conservação, necessitando urgentemente de uma intervenção de modo a salvaguardar toda a herança cultural. Assim, segundo uma estratégia global das acções de reabilitação, é elaborada uma proposta de intervenção de modo não só a preservar o edifício, bem como melhorar o seu desempenho.

Development of a historic hearing devices exhibit

This paper discusses historic hearing devices and their benefits to users.

Multi-agent collaboration for decision support in shared zones of intelligent buildings

In domain of intelligent buildings, saving energy in buildings and increasing preferences of occupants are two important factors. These factors are the important keys for evaluating the performance of work environment. In recent years, many researchers combine these areas to create the system that can change from original to the modern work environment called intelligent work environment. Due to advance of agent technology, it has received increasing attention in the area of intelligent pervasive environments. In this paper, we review several issues in intelligent buildings, with respect to the implementation of control system for intelligent buildings via multi-agent systems. Furthermore, we present the MASBO (Multi-Agent System for Building cOntrol) that has been implemented for controlling the building facilities to reach the balancing between energy efficiency and occupant’s comfort. In addition to enhance the MASBO system, the collaboration through negotiation among agents is presented.

Access to historic environments for tourists with disabilities: a compromise?

Historic environments, the basis for heritage tourism, are difficult to access for people with disabilities. Many countries have introduced legislation to promote equal rights for people with disabilities. Historic environments, however, enjoy protection under national planning systems which limit the physical access improvements that can be made. The significance of historic environments for tourism in the UK is outlined. Barriers restricting tourists with disabilities accessing historic sites are reviewed from the heritage tourism service provider's viewpoint. Interests of the major stakeholders are considered in terms of the apparent conflict between conservation and access issues as heritage tourism service providers seek to comply with disability discrimination legislation. From a study of access improvements made by major heritage tourism service providers, good practice is identified. However, physical access improvements to enable tourists with disabilities to visit historic environments are a compromise because of the strength of conservation interests. Questions remain as to whether this compromise is acceptable to the tourist with disabilities and whether intellectual access is an acceptable substitute for physical presence.

Improving flood models using LiDAR: progress and problems

Airborne scanning laser altimetry (LiDAR) is an important new data source for river flood modelling. LiDAR can give dense and accurate DTMs of floodplains for use as model bathymetry. Spatial resolutions of 0.5m or less are possible, with a height accuracy of 0.15m. LiDAR gives a Digital Surface Model (DSM), so vegetation removal software (e.g. TERRASCAN) must be used to obtain a DTM. An example used to illustrate the current state of the art will be the LiDAR data provided by the EA, which has been processed by their in-house software to convert the raw data to a ground DTM and separate vegetation height map. Their method distinguishes trees from buildings on the basis of object size. EA data products include the DTM with or without buildings removed, a vegetation height map, a DTM with bridges removed, etc. Most vegetation removal software ignores short vegetation less than say 1m high. We have attempted to extend vegetation height measurement to short vegetation using local height texture. Typically most of a floodplain may be covered in such vegetation. The idea is to assign friction coefficients depending on local vegetation height, so that friction is spatially varying. This obviates the need to calibrate a global floodplain friction coefficient. It’s not clear at present if the method is useful, but it’s worth testing further. The LiDAR DTM is usually determined by looking for local minima in the raw data, then interpolating between these to form a space-filling height surface. This is a low pass filtering operation, in which objects of high spatial frequency such as buildings, river embankments and walls may be incorrectly classed as vegetation. The problem is particularly acute in urban areas. A solution may be to apply pattern recognition techniques to LiDAR height data fused with other data types such as LiDAR intensity or multispectral CASI data. We are attempting to use digital map data (Mastermap structured topography data) to help to distinguish buildings from trees, and roads from areas of short vegetation. The problems involved in doing this will be discussed. A related problem of how best to merge historic river cross-section data with a LiDAR DTM will also be considered. LiDAR data may also be used to help generate a finite element mesh. In rural area we have decomposed a floodplain mesh according to taller vegetation features such as hedges and trees, so that e.g. hedge elements can be assigned higher friction coefficients than those in adjacent fields. We are attempting to extend this approach to urban area, so that the mesh is decomposed in the vicinity of buildings, roads, etc as well as trees and hedges. A dominant points algorithm is used to identify points of high curvature on a building or road, which act as initial nodes in the meshing process. A difficulty is that the resulting mesh may contain a very large number of nodes. However, the mesh generated may be useful to allow a high resolution FE model to act as a benchmark for a more practical lower resolution model. A further problem discussed will be how best to exploit data redundancy due to the high resolution of the LiDAR compared to that of a typical flood model. Problems occur if features have dimensions smaller than the model cell size e.g. for a 5m-wide embankment within a raster grid model with 15m cell size, the maximum height of the embankment locally could be assigned to each cell covering the embankment. But how could a 5m-wide ditch be represented? Again, this redundancy has been exploited to improve wetting/drying algorithms using the sub-grid-scale LiDAR heights within finite elements at the waterline.