Adaption of the Creative Commons approach and the roaming concept to spatial data infrastructures (SDI)

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Image processing for displacement measurements

Since the invention of photography humans have been using images to capture, store and analyse the act that they are interested in. With the developments in this field, assisted by better computers, it is possible to use image processing technology as an accurate method of analysis and measurement. Image processing's principal qualities are flexibility, adaptability and the ability to easily and quickly process a large amount of information. Successful examples of applications can be seen in several areas of human life, such as biomedical, industry, surveillance, military and mapping. This is so true that there are several Nobel prizes related to imaging. The accurate measurement of deformations, displacements, strain fields and surface defects are challenging in many material tests in Civil Engineering because traditionally these measurements require complex and expensive equipment, plus time consuming calibration. Image processing can be an inexpensive and effective tool for load displacement measurements. Using an adequate image acquisition system and taking advantage of the computation power of modern computers it is possible to accurately measure very small displacements with high precision. On the market there are already several commercial software packages. However they are commercialized at high cost. In this work block-matching algorithms will be used in order to compare the results from image processing with the data obtained with physical transducers during laboratory load tests. In order to test the proposed solutions several load tests were carried out in partnership with researchers from the Civil Engineering Department at Universidade Nova de Lisboa (UNL).

The role of objects in creative collaborations

Objects matter when professionals collaborate to create new products. Chapter 1 explains the intention of this work, to apply theories on objects in the empirical context of fashion design. Chapter 2 addresses the question of how creative professionals learn about and use strategy tools to turn their artistic fame into a commercial success. For Chapter 3 I collected ethnographic data on the development of a seasonal collection from the idea to the presentation at Fashion Week. The result is a deep insight into the collaborative processes and material objects used when a stable team of designers works with several outside experts. Chapter 4 applies the knowledge of the role of objects in fashion design gained during the ethnography in the context of online co-creation and crowd sourced fashion items. The synthesis of the empirical studies allows me to present the conceptual leap in Chapter 5. In the theoretical essay I review the findings on the role of objects in collaborations in relation to practice theory, present the new concept of the comprehensive object and conclude by stating the possibilities for future research.