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Purpose – The purpose of this paper is to present an approach to evaluating contributions in collaborative authoring environments and in particular wikis using social network measures. Design / methodology / approach – A social network model for wikipedia has been constructed and metrics of importance such as centrality have been defined. Data have been(More)
OBJECTIVES This paper focusses on the person identification problem based on features extracted from the ElectroEncephaloGram (EEG). A bilinear rather than a purely linear model is fitted on the EEG signal, prompted by the existence of non-linear components in the EEG signal--a conjecture already investigated in previous research works. The novelty of the(More)
Person identification based on spectral information extracted from the EEG is addressed in this work a problem that has not yet been seen in a signal processing framework. Spectral features are extracted non-parametrically from real EEG data recorded from healthy individuals. Neural network classification is applied on these features using a Learning Vector(More)
The purpose of this study is to define a bibliometric indicator of the scientific impact of a journal, which combines objectivity with the ability to bridge many different bibliometric factors and in particular the side factors presented along with celebrated ISI impact factor. The particular goal is to determine a standard threshold value in which an(More)
In this study, we applied a digital image processing system using the onion algorithm of Computational geometry to develop fingerprint verification. This method may be characterized as an alternative method to the used minutiae extraction algorithm proposed by Ratha et al. The proposed algorithm is also compared to a well-known commercial verification(More)