The purpose of this paper is to present the results of preliminary analysis and research on the potential relevance and applicability of autonomic computing principles and practices to problems unique to e-government. This paper examines the applicability of autonomic computing principles to four main egovernment problems thought to be potential candidates for autonomic computing practices. The...

Lightfield photography enables many new possibilities for digital imaging because it captures both spatial and angular information, i.e., the full four-dimensional radiance, of a scene. Extremely high resolution is required in order to capture four-dimensional data with a two-dimensional sensor. However, images rendered from the lightfield as projections of the four-dimensional radiance onto tw...

Agent oriented software engineering (AOSE) is an emerging field in computer science  and  proposes some systematic ideas for multi agent systems analysis, implementation and maintenance. Despite the various methodologies introduced in the agent-oriented software engineering, the main challenges are defects in different aspects of methodologies. According to the defects resulted from weaknesses ...

Converging Computing Methodologies in Astronomy (CCMA) is a Scientiic Network supported and nanced by the European Science Foundation (ESF), and managed by a Coordination Committee of nine scientists coming from the astronomy and the computer science research areas. During its rst three years of activity, CCMA promoted cooperation among researchers via work visits in Europe and with the organiz...

We present a computational method to generate a trompe l’œil on a paper, a 2D image depicting a virtual 3D model in such a way that the model appears to be a real 3D entity when a person views the printed image from specific viewpoint. This method is similar to augmented reality methods which show a virtual 3D model on top of a real world image captured by a camera considering photometric match...

The basic technological building blocks of the TCG architecture seem to be stabilizing. As a result, we believe that the focus of the Trusted Computing (TC) discipline must naturally shift from the design and implementation of the hardware root of trust (and the subsequent trust chain) to the higher-level application policies. Such policies must build on these primitives to express new sets of ...

The objective of this paper is to investigate the efficiency of soft computing methods, in particular methodologies based on neural networks, when incorporated into the solution of computationally intensive engineering problems. Two types of applications have been investigated, namely flaw identification and structural reliability analysis. Artificial neural networks (ANNs) based metamodels are...

We present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size. The obtained results are based on computational methodologies, which involve combining coalescence time scale changes with techniques of integral transformations and using analytical formulae for infinite products. We show applicatio...

Situation identification methodologies in pervasive computing aim to abstract low level context data into more meaningful high level contexts for use by context-aware application developers and users. Many situation identification techniques have been developed and successfully applied to limited scenarios. It is not possible to apply a single technique to a wide range of diverse applications. ...