OPTICON: EC Optical Infrared Coordination Network for Astronomy

OPTICON, the ICN Optical Infrared Coordination Network for Astronomy, brings together for the first time the operators of all Europe's medium to large optical-infrared telescopes, the largest corresponding data archives, and several user representatives. The OPTICON partners work with their communities to identify those major challenges for the future development of European optical-infrared astronomy which require Europe-wide collaboration. OPTICON sponsors and coordinates developments towards these goals, involving the entire astronomical community through workshops and meetings targeted towards these agreed common goals of general importance.Comment: to appear in Organizations and Strategies in Astronomy II, Ed. A. Heck, Kluwer Acad. Pub

Electricity Internal Market in the European Union: What to do next?

Like in the US, the EU “internal electricity market” remains unfinished and its construction can stall, fracturing into “national blocks” separated by permanent “border effects”. This is exactly what this paper seeks to avoid in the expected life of the current European Commission (2005-2009). It identifies the critical factors: national and EU market designs, industry structure and competition policy, deeper regional cooperation between TSOs and Regulators. It suggests 8 priority actions and 12 secondary improvements to sustain the dynamics of the construction of an EU set of open r egional markets with limited “border effects”, and explains the rationale for these recommendations

PRIMA — Privacy research through the perspective of a multidisciplinary mash up

Based on a summary description of privacy protection research within three fields of inquiry, viz. social sciences, legal science, and computer and systems sciences, we discuss multidisciplinary approaches with regard to the difficulties and the risks that they entail as well as their possible advantages. The latter include the identification of relevant perspectives of privacy, increased expressiveness in the formulation of research goals, opportunities for improved research methods, and a boost in the utility of invested research efforts

European Arctic Initiatives Compendium

Julkaistu versi

A weather forecast model accuracy analysis and ECMWF enhancement proposal by neural network

This paper presents a neural network approach for weather forecast improvement. Predicted parameters, such as air temperature or precipitation, play a crucial role not only in the transportation sector but they also influence people's everyday activities. Numerical weather models require real measured data for the correct forecast run. This data is obtained from automatic weather stations by intelligent sensors. Sensor data collection and its processing is a necessity for finding the optimal weather conditions estimation. The European Centre for Medium-Range Weather Forecasts (ECMWF) model serves as the main base for medium-range predictions among the European countries. This model is capable of providing forecast up to 10 days with horizontal resolution of 9 km. Although ECMWF is currently the global weather system with the highest horizontal resolution, this resolution is still two times worse than the one offered by limited area (regional) numeric models (e.g., ALADIN that is used in many European and north African countries). They use global forecasting model and sensor-based weather monitoring network as the input parameters (global atmospheric situation at regional model geographic boundaries, description of atmospheric condition in numerical form), and because the analysed area is much smaller (typically one country), computing power allows them to use even higher resolution for key meteorological parameters prediction. However, the forecast data obtained from regional models are available only for a specific country, and end-users cannot find them all in one place. Furthermore, not all members provide open access to these data. Since the ECMWF model is commercial, several web services offer it free of charge. Additionally, because this model delivers forecast prediction for the whole of Europe (and for the whole world, too), this attitude is more user-friendly and attractive for potential customers. Therefore, the proposed novel hybrid method based on machine learning is capable of increasing ECMWF forecast outputs accuracy to the same level as limited area models provide, and it can deliver a more accurate forecast in real-time.Web of Science1923art. no. 514

Weaving Lighthouses and Stitching Stories: Blind and Visually Impaired People Designing E-textiles

We describe our experience of working with blind and visually impaired people to create interactive art objects that are personal to them, through a participatory making process using electronic textiles (e-textiles) and hands-on crafting techniques. The research addresses both the practical considerations about how to structure hands-on making workshops in a way which is accessible to participants of varying experience and abilities, and how effective the approach was in enabling participants to tell their own stories and feel in control of the design and making process. The results of our analysis is the offering of insights in how to run e-textile making sessions in such a way for them to be more accessible and inclusive to a wider community of participants

Nordic small countries in the global high-tech value chains: the case of telecommunications systems production in Estonia

In this paper we focus on the electronics industry, and more specifically on the production of telecommunications systems, which is characterised both by very rapid growth of the global trade and very high ratio of R&D investments in the sales revenues (Moncada-Paternoo-Castello et al 2010). More specifically, we analyse the distinctly different development paths of the three major telecommunications systems producers in the Nordic countries: Ericsson, Elcoteq and Skype. Ericsson was established in 1876, and has been a well-known brand name for decades. By contrast, Elcoteq grew from a small company into a global multinational corporation in less than a decade only in the 1990s. As a global company, Skype is still less than ten years old, but it facilitates today more international calls than any other telecommunications operator on the planet.