Examining the extent, nature, and scope of peer group influence on academic outcomes is an important direction for future research to enrich our understanding of adolescent motivation, engagement, and achievement. Conceptual and methodological issues involved in studying peer groups are discussed. Existing research that addresses the influence of peer groups on academic outcomes is reviewed. Pr...

The purpose of the study was to investigate the predictive value of written longitudinal tests (progress tests), block-related written tests and OSCEs in relation to peer-rated competence of students. Competence as rated for functioning as a student and for functioning as a future physician Eight students were asked to rate their peers on both aspects of competence. This was related to past per...

The future Internet will very likely include some components based on Asynchronous Transfer Mode (ATM), as well as existing network technologies. This environment produces the possibility of using one of the strengths of ATM (namely, quality-of-service guarantees) to improve the performance of Internet traffic. In this report, we document some of our work in progress on the use of performance-g...

PSIRP (Publish-Subscribe Internet Routing Paradigm) is an EU FP7 funded project that has developed a clean-slate architecture for the future Internet, based on the publish-subscribe primitives (rather than the send-receive ones), all the way down to the core networking functions. The PSIRP vision is a pure information-centric Internet architecture, possibly providing remedies to many of the cur...

In todays Internet, a trend towards distributed content delivery systems can be observed. These systems still have to offer the same functionality as centralized architectures, e.g. content localization. While several advantages like load distribution and cost reduction could be gained by using a decentralized distribution platform, they come with a tradeoff in resource consumption. In this pap...

Nowadays, face recognition technology has been greatly developed; for the problem of low recognition rate in the face recognition system of illumination variation, this thesis proposes the face recognition method of illumination tolerance in two-dimensional subspace based on the optimal correlation filter. Firstly, through the use of a particular class 2D-PCA the face image is reconstructed and...

In a future internet of things, an increasing number of every-day objects becomes interconnected with each other. Current network solutions are not designed to connect a large number of co-located devices with different characteristics and network requirements. To cope with increasingly large and heterogeneous networks, this paper presents an ‘incentive driven’ networking approach that optimize...