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Cover of ERCIM News 103

ERCIM News 103

July 2026

Special theme Augmented Reality

Guest editors Constantine Stephanidis (ICS-FORTH, Greece) and Eija Kaasinen (VTT)

PDF of ERCIM News 103 ePub of ERCIM News 103 40 pages

In this issue

  • In Brief
  • Special Theme
  • Research and Innovation
  • Joint ERCIM Actions

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Special theme Quantum Technology

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The D-CENT Project: Decentralized Social Software for Political Autonomy

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Category: Research and Innovation
Published: 27 September 2015
Hits: 8214

by Harry Halpin

D-CENT develops applications for the common good ranging from community-currency blockchains to collective legislation drafting.

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A Structured Approach to Defence Simulation Training

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Category: Research and Innovation
Published: 27 September 2015
Hits: 7112

by Peter Kieseberg

The Austrian SCUDO project is developing a training kit enabling an easy-to-use setup simulation environment for training personnel in the defence of critical infrastructures against IT security incidents.

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Reducing the IoT - PbD Dilemma by Enriching Authorization with Reputation Mechanisms

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Category: Research and Innovation
Published: 27 September 2015
Hits: 6142

by Darío Ruiz López

The RERUM framework is designed to be both secure and private, whilst maintaining the open nature of the Internet of Things (IoT) by empowering users by allowing them to define dynamic access criteria based on user reputation.

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Verifying Systems-of-Systems with Statistical Model Checking

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Category: Research and Innovation
Published: 27 September 2015
Hits: 6968

by Axel Legay, Jean Quilbeuf, Flavio Oquendo

Verifying the correctness of systems-of-systems (SoS) is a key challenge, largely because SoSs are evolutionarily developed by combining autonomous systems to fulfill a mission that could not be performed by one of the constituent systems alone. In the trade-off of correctness vs. scalability, model checking does not scale up to address the trustworthiness of SoSs, owing to the state explosion problem. A recent technique, however, has overcome this shortcoming: ‘Statistical Model Checking’ is based on sampling traces of the system-of-interest until adequate statistical evidence has been established.

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A Bottom-up Strategy for Clustering Complex Datasets with Application to Language and Script Discrimination

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Category: Research and Innovation
Published: 27 September 2015
Hits: 6570

by Alessia Amelio

A bottom-up clustering algorithm can be used to extend a state-of-the-art method to partition datasets in groups of complex data. The algorithm has been applied to discriminate between documents in different languages and scripts.

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REVERIE – Real and Virtual Come Together in a Virtual Reality

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Category: Research and Innovation
Published: 27 September 2015
Hits: 7526

by Fons Kuijk, Rufael Mekuria and Pablo Cesar

REVERIE is a general-purpose tele-immersion system that enables individuals to interact in a shared 3D synthesized environment. It is a meeting place for virtual characters representing real participants and receptive virtual agents (autonomous humanoids). Participants observe this virtual reality from the dynamically changing point of view of their virtual embodiment (an avatar or a replicant) and 3D spatial audio completes the impression of being immersed.

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A Knowledge Based Solution for Intelligent Verification and Validation of Interlocking Railway Systems

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Category: Research and Innovation
Published: 27 September 2015
Hits: 6891

by Pierfrancesco Bellini, Paolo Nesi and Imad Zaza

Although modern secure railway transportation management systems are employing more ‘intelligent’, highly computerized technology, they are still strictly dependent on the site-specific configuration of track layout, which follows different rules for different nations. An expert system model, which independently formalizes a railway network, focusing on railway terminals (stations) and including topological and functional aspects of track elements, enables verification and validation.

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Articles in the Special Theme and Research and Innovation sections are referenced by DBLP.

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