This paper presents the design of a function-specific dynamically reconfigurable architecture for error detection and error correction. The function-unit is integrated in a pipelined 32 bit RISC processor and provides full hardware support for encoding and decoding of Reed- Solomon Codes with different code lengths as well as error detection methods like bit-parallel Cyclic Redundancy Check codes computation. The architecture is designed and optimized for the usage in the medium access control layer of mobile wireless communication systems and provides simultaneously hardware support for control-flow and data-flow oriented tasks.
The huge interest in social networking applications - Friendster.com, for example, has more than 40 million users - led to a considerable research interest in using this data for generating recommendations. Especially recommendation techniques that analyze trust networks were found to provide very accurate and highly personalized results. The main contribution of this thesis is to extend the approach to trust-based recommendations, which up to now have been made for unlinked items such as products or movies, to linked resources, in particular documents. Therefore, a second type of network, namely a document reference network, is considered apart from the trust network. This is, for example, the citation network of scientific publications or the hyperlink graph of webpages. Recommendations for documents are typically made by reference-based visibility measures which consider a document to be the more important, the more often it is referenced by important documents. Document and trust networks, as well as further networks such as organization networks are integrated in a multi-layer network. This architecture makes it possible to combine classical measures for the visibility of a document with trust-based recommendations, giving trust-enhanced visibility measures. Moreover, an approximation approach is introduced which considers the uncertainty induced by duplicate documents. These measures are evaluated in simulation studies. The trust-based recommender system for scientific publications SPRec implements a two-layer architecture and provides personalized recommendations via a Web interface.
The present thesis consists of seven papers specifying and analysing models of direct-interactions-driven collective economic phenomena. Within theories and models of coordination in large decentralized market economies (and analogously also within theories and models of coordination in natural systems, for instance models of magnetism) the notion of direct interactions is to be contrasted with the notion of indirect interaction via aggregate signals, such as the price system. The presented papers apply a direct-interactions-based modelling to the analysis of economic phenomena, such as the emergence of collective economic sentiment, business cycles, and new-product diffusion.