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Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich, Switzerland

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This year marks the third edition of EuroSSC. It builds on the success of the past editions, held in Enschede, The Netherlands in 2006, and in Kendal, UK in 2007. On behalf of the Organizing Committee, we would like to welcome you to EuroSSC 2008, in Zurich, Switerland. This volume contains the invited papers and technical peer-reviewed papers selected for presentation at the conference.

At EuroSSC we aim to explore technologies, algorithms, architectures, protocols, and user aspects underlying context-aware smart surroundings, cooperating intelligent objects, and their applications. Since its inception, EuroSSC has taken a complementary technology-driven and user-driven view to discuss these aspects. It is one of the particularities of EuroSSC, and the 2008 edition made no exception. In addition we emphasized aspects related to quality of context and context-aware feedback by actuator systems. This reflects the growing importance that context processing in uncertain environments and sensor and actuator networks take in ambient intelligence environments.

We received 70 paper submissions. They originate from 30 countries of Europe, the Middle East and Africa (66%), Asia (22%), North America (9%), and South America (3%). These numbers reflect the European origins of EuroSSC, but also show that EuroSSC is a recognized and attractive platform for participants from all regions of the world.

The review process was double-blind. This ensured that the papers were selected purely on their technical merits. Each paper received a minimum of two reviews, with most receiving three reviews and some four. On the basis of the peer reviews, the Program Co-chairs selected 17 papers for publication. The 25% acceptance rate indicates the high quality of the papers included in this proceedings volume. The papers were selected according to their technical merit to exemplarily discuss the key themes addressed by EuroSSC: sensors and signal acquisition; context inference; high-level context processing; and applications and scenarios.
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