When it became obvious that Object Oriented software applications were falling short of their promise of significant software reuse, the software industry began to look at another solution. Hence the interest in Component ...

Neural Networks have become one of the most successful machine learning algorithms and are playing a key role in enabling machine vision and speech recognition. Their computational complexity and memory demands are challenging ...

In this piece of research, we examine the evolution of sentiment proxies, commonly used to account for investor behaviour in the financial economics literature. Advancements in computing techniques, such as sentiment ...

To manage the increasing complexity of software, many modern and large applications make use of components. GNOME, the free desktop environment for UNIX like systems, has created its own component model, namely Bonobo. The ...

We have designed and implemented a reference implementation of CapaFS, a global, decentralised file system that allows users to collaborate with other users anywhere in the world, with no prior arrangements or connections. ...

To support a vision of ubiquitous computing where computers fade into the background, context systems must provide information to highly mobile people and devices in ubiquitous computing environments. In these environments, ...

This thesis adheres to the view that the purpose of a Ph.D. is to both make a significant contribution to knowledge and to provide the candidate with the skills necessary to conduct "independent" research, culminating ...

Clock syncronization is one of the basic requirements of a distributed real-time systems. The greater the precision achievable by the clock synchronization algorithm used, the harder the real-time guarantees that can be ...

Fostering shared understanding of how to support organisational change involves a complex interaction of stakeholders in order to achieve alignment of business processes and IT infrastructure. Collaboration ...