Identification of Low Order Models for Large Scale Systems* *This work was supported by the European Union within the Marie-Curie Training Network PROMATCH under the grant number MRTN-CT-2004-512441.

2009 ◽  
Vol 42 (11) ◽  
pp. 464-469
Author(s):  
Satyajit Wattamwar ◽  
Siep Weiland ◽  
Ton Backx
2018 ◽  
Vol 300 ◽  
pp. 76-86
Author(s):  
Beata Krzemińska ◽  

The Automated Fingerprint Identification System (AFIS) has been in operating in Poland for 18 years. During this period, it has undergone many modernizations and transformations. The article presents its evolution in the context of changes taking place in the European Union. This applies both to the legislative developments in the area of freedom, security and justice as well as to the technical solutions being implemented. An attempt was also made to forecast the possibility of further development of AFIS from the perspective of large-scale systems using the latest biometric mechanisms available on the IT market.


Author(s):  
G. De Santi ◽  
A. Jaeger Waldau ◽  
N. Taylor ◽  
H. Ossenbrink

The European Union aims at largely decarbonizing its energy system by 2050. In this context, this paper reviews the status of the solar electricity technologies that can exploit our largest renewable energy resource. Although substantial progress is being made, the possibility, for instance, to more than double the efficiency of photovoltaic systems underlines the continued need for coordinated R&D efforts, aimed also at promoting European expertise and industrial competiveness. In parallel, it is important to expand the market by developing integrated building products and by demonstrating the viability of very large scale systems for both technologies.


2021 ◽  
Vol 13 (9) ◽  
pp. 4772
Author(s):  
Hanna Klikocka ◽  
Aneta Zakrzewska ◽  
Piotr Chojnacki

The article describes and sets the definition of different farm models under the categories of being family, small, and large-scale commercial farms. The distinction was based on the structure of the workforce and the relationship between agricultural income and the minimum wage. Family farms were dominated by the farming family providing the labour and their income per capita exceeded the net minimum wage in the country. The larger commercial farms feature a predominance of hired labour. Based on surveys, it was found that in 2016 in the EU-28 there were 10,467,000 farms (EU-13—57.3%, EU-15—42.7%). They carried out agricultural activities on an area of 173,338,000 ha (EU-13—28.5%, EU-15—71.5%). Countries of the EU-28 generated a standard output (SO) amounting to EUR 364,118,827,100 (EU-13—17.2% and EU-15—82.8%). After the delimitation, it was shown that small farming (70.8%) was the predominant form of management in the European Union (EU-13—88.2% and EU-15—79.8%) compared to family farming (18.4%) (EU-13—10.5% and EU-15—29%). In most EU countries the largest share of land resources pertains to small farms (35.6%) and family farms (38.6%) (UAA—utilised agricultural area of farms).


2020 ◽  
pp. 233-261
Author(s):  
Chris Heffer

This chapter summarizes the main analytical moves in the TRUST heuristic for analyzing untruthfulness. It then applies the heuristic to three short texts that have been widely called out as lies: Trump’s tweet about large-scale voter fraud just before the 2016 presidential elections; the “Brexit Battle Bus” claim that the United Kingdom sent £350 million per week to the European Union; and Tony Blair’s 2002 statement to Parliament about Iraq possessing weapons of mass destruction. The cases share a common theme: the capacity of untruthful public discourse to undermine democratic legitimacy by, respectively, questioning the integrity of electoral procedures, harming the capacity of voters to make a rational choice, and undermining faith in the rational and responsible deliberation of one’s leaders. The chapter troubles the simple attribution of lying in these cases and shows how a TRUST analysis can lead to a deeper understanding of the types and ethical value of untruthfulness.


2015 ◽  
Vol 35 (3) ◽  
pp. 505-530 ◽  
Author(s):  
Petya Alexandrova

AbstractFocusing events are sudden, striking large-scale occurrences that attract political attention. However, not all potential focusing events appear on the agenda. Combining data from multiple sources, this study conducts an analysis of the determinants of prioritisation of external focusing events in the European Council over a period longer than two decades. The results demonstrate that decisions regarding the placement of crises on the agenda are underscored by exogenous (humanitarian) and endogenous (geopolitical interest) considerations. Those events with a higher likelihood of agenda access include manmade incidents (versus natural disasters), events with larger death tolls and crises in the neighbourhood. Stronger competition between potential focusing events across time and space reduces the chances of access. The level of attention each event receives depends on purely strategic interests. Focusing events in neighbouring countries gain a higher portion of attention, as do occurrences in states having a larger trade exchange with the European Union.


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