A ubiquitous network is characterised by a large number of small computers embedded in our environment. Writing distributed applications for this kind of network can be a challenging task. Programming and re-programming each single device is not feasible; it is too time consuming, too costly and too error prone. We argue that a top-down approach to writing applications is useful. We propose a h...

The teaching and learning of finite element analysis has to date been reserved for final year undergraduate or masters level engineering students. The assumption behind this is the considerable mathematical content associated with this method demands much prerequisite knowledge and conceptual understanding. The module which is the focus of this study challenges these beliefs by introducing fini...

This paper describes research work in implementing a conversational intelligent agent on the web focusing on a top-down natural language query approach. While the present World-Wide Web provides a distributed hypermedia interface to the vast amount of information on the Internet, there is a lack of appropriate metadata to that content. Instead of being a giant library as intended, increasing se...

Computer simulations are often hierarchical in the sense that the simulation of a system-level phenomenon often relies on one or more independent simulations of lower-level behavior, such as constitutive material models. In these cases, the parameters governing the lower-level models are typically estimated using the results of experiments designed to isolate the lower-level behavior. This pape...

Web mining of browsing patterns including simple sequential patterns and sequential patterns with browsing times has been studied recently. However, most of these works focus on mining browsing patterns of web pages directly. In this work, we introduce the problem of mining browsing patterns on cross-levels of a taxonomy comprised of web pages. In addition, browsing time is considered and proce...

The investigation of large DNA contigs like complete chromosomes or genomes requires novel methods of data visualization. The complex information contained in a genome, particularly the relation of its individual genetic elements, needs to be accessible in a comprehensive, intelligent and intelligible manner. The yeast genome is expected to contain more than 6,000 Open Reading Frames (ORFs). As...

Autobiographical memory (AM) refers to the organisation of one’s experience into a coherent narrative. The exact neural mechanisms responsible for the manifestation of AM in humans are unknown. On the other hand, the field of psychology has provided us with useful understanding about the functionality of a bio-inspired synthetic AM (SAM) system, in a higher level of description. This paper is c...

This paper considers the pricing and hedging of collateralized debt obligations (CDOs). CDOs are complex derivatives on a pool of credits which we choose to analyse in the top down model proposed in Filipović et al. [4]. We reflect on the implied forward rates and bring them in connection with the top-down framework in Lipton and Shelton [8] and Schönbucher [11]. Moreover, we derive variance-mi...

Association Rule mining is one of the important and most popular data mining techniques. It extracts interesting correlations, frequent patterns and associations among sets of items in the transaction databases or other data repositories. Apriori algorithm is an influential algorithm for mining frequent itemsets for Boolean association rules. Firstly, the concept of association rules is introdu...

System-level design methodologies have been introduced as a solution to handle the design complexity of mixed Hardware / Software systems. In this paper we describe a system-level design flow starting from Simulink specification, focusing on concurrent hardware and software design and verification at four different abstraction levels: System Simulink model, Transaction Simulink model, Macro arc...