small amount of knowledge about individuals and their ratings to some items in a recommender system, an adver-sary may easily identify the users and breach their privacy. Unfortunately, most of the existing privacy models (e.g., k-anonymity) cannot be directly applied to recommender sys-tems

theoretical foundation to construct a web-based learning model that integrates expert teachers and Internet technologies (web-based multimedia, performance support system, and electronic conferencing). To examine the effectiveness of this model, a seven-week web-based course was designed and a field

OFDM modulation, which has been adopted by the Digital Video Broadcasting (DVB-T) standard in Europe, has been recognized for its good performance for high data rate wireless communications. Therefore, the study of the robust transmission of multimedia data over the OFDM systems has attracted

Abstract: Problem statement: Next-generation mobile networks are evolving towards network architectures relying entirely on IP. Approach: These networks had to be scalable in order to support future IP traffic, namely new multimedia services and real time applications, while providing an effective

IOS Press Utilization of intelligent agents for supporting citizens in their access to e-government services 1

pages 156–175, 2013. [2] Johannes Buchmann, Denise Demirel, and Jeroen van de Graaf. Towards a publicly-verifiable mix-net providing everlasting privacy. In Financial Cryptog-raphy, pages 197–204, 2013. [3] Denise Demirel, Jeroen van de Graaf, and Roberto Araùjo. Improving helios

This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable

education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual

accommodate the otherwise limiting quantizer of conventional ADCs. In this thesis, we consider a different approach to CS ADC by shifting towards lower quantizer bit-depths rather than lower sampling rates. We explore the extreme case where each measurement is quantized to just one bit, representing its sign

Abstract not found