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See detailWhen historians create their archives: the making of covidmemory project
Brüll, Christoph UL

Scientific Conference (2020, June 30)

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See detailPolitiques de synchronisation dans les systèmes multi-agents distribués parallèles
Rousset, Alban UL; Breugnot, Paul; Herrmann, Bénédicte et al

in Rousset, Alban (Ed.) Politiques de synchronisation dans les systèmes multi-agents distribués parallèles (2020, June 29)

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is ... [more ▼]

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is mandatory but comes with many issues. In this article, we are interested in the impact of synchronization on models design and on their execution. We highlight synchronization problems through model instances then we experimentally analyze the impact of synchronization on large scale test cases. [less ▲]

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See detailAutomated Demarcation of Requirements in Textual Specifications: A Machine Learning-Based Approach
Abualhaija, Sallam UL; Arora, Chetan; Sabetzadeh, Mehrdad UL et al

in Empirical Software Engineering (2020)

A simple but important task during the analysis of a textual requirements specification is to determine which statements in the specification represent requirements. In principle, by following suitable ... [more ▼]

A simple but important task during the analysis of a textual requirements specification is to determine which statements in the specification represent requirements. In principle, by following suitable writing and markup conventions, one can provide an immediate and unequivocal demarcation of requirements at the time a specification is being developed. However, neither the presence nor a fully accurate enforcement of such conventions is guaranteed. The result is that, in many practical situations, analysts end up resorting to after-the-fact reviews for sifting requirements from other material in a requirements specification. This is both tedious and time-consuming. We propose an automated approach for demarcating requirements in free-form requirements specifications. The approach, which is based on machine learning, can be applied to a wide variety of specifications in different domains and with different writing styles. %The approach is push-button, requiring no user-provided parameters before it can process a given specification. We train and evaluate our approach over an independently labeled dataset comprised of 33 industrial requirements specifications. Over this dataset, our approach yields an average precision of 81.2% and an average recall of 95.7%. Compared to simple baselines that demarcate requirements based on the presence of modal verbs and identifiers, our approach leads to an average gain of 16.4% in precision and 25.5% in recall. We collect and analyze expert feedback on the demarcations produced by our approach for industrial requirements specifications. The results indicate that experts find our approach useful and efficient in practice. We developed a prototype tool, named DemaRQ, in support of our approach. To facilitate replication, we make available to the research community this prototype tool alongside the non-proprietary portion of our training data. [less ▲]

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See detailCultural Psychological Re-Formulation of Ego-Defence into Ego-Construction
Mihalits, Dominik Stefan UL

Doctoral thesis (2020)

The developing self is a complex concept that recurrently occupies a variety of academic disciplines, and that is yet to be clarified from a holistically, transdisciplinary standpoint. For instance ... [more ▼]

The developing self is a complex concept that recurrently occupies a variety of academic disciplines, and that is yet to be clarified from a holistically, transdisciplinary standpoint. For instance, psychoanalytical theories offer detailed insight into the intraindividual psycho-dynamics of personal development. Cultural psychological theories, on the other hand, stress a culture’s influence on a person’s day-to-day development and advance a detailed account of semiotic, i.e., culturally mediated, sign construction that underlies psychological process-es and results from it at the same time. Importantly, and what a cultural psychological standpoint therefore offers, is a view on culture that withdraws from conceiving it as an own entity (e.g., cannot be calculated as an external factor), but views it as deeply entangled with the formation of personality development. Both theory strands thus each complexly address ‘sides of the same coin’, namely the phenomenon of the developing self, but have not yet been systematically linked with each other from a holistic perspective. Therefore, this thesis addresses the question, how an integrative perspective of psychoanalytical psychodynamics can be synthesized with cultural psychological metatheory on development. More precisely, I theoretically explore how psychoanalytical theories of ego defence mechanisms help furthering an analysis of ego construction. By using the concept of ego construction, I argue that cultural psychological construction processes that are entangled with people’s engagement with their culturally laden environments can further elaborate psychoanalytical theories on ego defence. To approach ego defence, this project departs from Freudian psychoanalytic theory. It draws on the differentiation between needs and wishes that leads to an inner tension where defence mechanisms help in understanding the tension upon delayed gratification. Pushing beyond this traditional perspective and by assuming a high entanglement of needs and wishes, the defence needs to be recognized as an ongoing process, conceptualized as a continuous and recurring process rather than as mechanisms. It is a central conclusion of this Ph.D. project that, therefore, concepts of defence must leave their descriptive level to overcome the problem of cause and effect, allowing an understanding of development as open psychodynamic and cultural system. [less ▲]

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See detailDe l'invisibilité à la visibilité: Le secteur de la santé et les femmes
Scuto, Denis UL

Article for general public (2020)

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See detailLa défense des Droits et Libertés fondamentaux au Grand-Duché de Luxembourg. Rôle, contribution respective et concertation des organes impliqués
Gerkrath, Jörg UL

Book published by Larcier (2020)

Le Grand-Duché est candidat pour un siège au Conseil des droits de l’homme des Nations Unies. La question de la défense des droits et libertés se pose donc au plan national. Le Gouvernement a adopté son ... [more ▼]

Le Grand-Duché est candidat pour un siège au Conseil des droits de l’homme des Nations Unies. La question de la défense des droits et libertés se pose donc au plan national. Le Gouvernement a adopté son Plan d’Action National pour la mise en oeuvre des Principes directeurs des Nations Unies relatifs aux entreprises et aux droits de l’homme. La révision constitutionnelle, en chantier depuis 2009, marque cependant un arrêt. L’espoir de disposer, dès 2020, d’un chapitre rénové relatif aux droits et libertés s’est éloigné. Le rôle actif des institutions locales des droits de l’homme mérite d’être tiré de l’ombre. Leur regroupement en un lieu unique, appelé « Maison des Droits de l’Homme » (Mënscherechthaus), permettra de remédier à leur fragmentation. Il a paru salutaire de dresser un bilan de la défense des droits humains en s’intéressant aux rôles respectifs et à la concertation des acteurs nationaux et européens. Le présent ouvrage reprend les travaux d’une conférence qui s’est tenue à l’Université le 16 décembre 2019. Il agrège les contributions actualisées d’éminents universitaires, magistrats, avocats et défenseurs des droits de l’homme. Complété d’un riche matériel de référence, l’ouvrage renouvelle la réflexion sur la défense concrète des droits humains et devrait interpeller, au-delà des cercles initiés, tout(e) citoyen(ne) intéressé(e). [less ▲]

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See detailSTEAM in special needs education in an elementary school in Luxemburg
Haas, Ben; Lavicza, Zsolt; Kreis, Yves UL

Scientific Conference (2020, June 25)

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See detailInnovative uses of technologies for STEAM education in elementary schools in Luxemburg
Haas, Ben; Kreis, Yves UL

Scientific Conference (2020, June 23)

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See detailConferences and international collaboration revisited in times of the coronavirus: Experiences from a digital transition and lessons for the future
Epping, Elisabeth UL; Lohse, Anna Prisca; Graf, Lukas et al

E-print/Working paper (2020)

"Everything was booked and ready to go for a two-day scientific workshop on education policies in Europe, scheduled for April 23-24, 2020 at the Hertie School in Berlin. The workshop intended to take ... [more ▼]

"Everything was booked and ready to go for a two-day scientific workshop on education policies in Europe, scheduled for April 23-24, 2020 at the Hertie School in Berlin. The workshop intended to take stock of developments at the European, national and sub-national levels given the European Union’s wrap up of its decade-long Education & Training 2020 strategy (ET 2020), a framework for cooperation in education and training. However, on March 12, we had to cancel the physical meeting on short notice due to the coronavirus crisis. In the following, we share our experiences with the subsequent transition to an alternative online workshop format that took place on April 23, involving 25 participants from 10 countries, and 16 paper presentations. After sketching the workshop’s virtual setup, we discuss strengths, weaknesses, and challenges related to this digital transition. Furthermore, we explore the prospects of such online formats for future academic conferences and networking." [less ▲]

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See detailPIAF: Developing Computational and Algorithmic Thinking in Fundamental Education
Parmentier, Yannick; Reuter, Robert UL; Higuet, Sarah et al

in Proceedings of EdMedia + Innovate Learning (2020, June 23), 2020(1), 315-322

In this article, we present the objectives and first achievements of the PIAF project supported by the European Union and aiming at developing computational and algorithmic thinking in basic education ... [more ▼]

In this article, we present the objectives and first achievements of the PIAF project supported by the European Union and aiming at developing computational and algorithmic thinking in basic education. This project brings together researchers in educational sciences and computer science from four countries (Belgium, France, Germany and Luxembourg) around the theme of teacher training. More concretely, the aim is to define a framework (competency framework, pedagogical scenarios) enabling teachers to (i) appropriate the concept of computational and algorithmic thinking and (ii) implement learning activities that promote the development of this kind of thinking in children. [less ▲]

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See detailDecision Triggered Data Transmission and Collection in Industrial Internet of Things
He, Jiguang; Kong, Long UL; Frondelius, Tero et al

in 2020 IEEE Wireless Communications and Networking Conference (WCNC) (2020, June 19)

We propose a decision triggered data transmission and collection (DTDTC) protocol for condition monitoring and anomaly detection in the industrial Internet of things (IIoT). In the IIoT, the collection ... [more ▼]

We propose a decision triggered data transmission and collection (DTDTC) protocol for condition monitoring and anomaly detection in the industrial Internet of things (IIoT). In the IIoT, the collection, processing, encoding, and transmission of the sensor readings are usually not for the reconstruction of the original data but for decision making at the fusion center. By moving the decision making process to the local end devices, the amount of data transmission can be significantly reduced, especially when normal signals with positive decisions dominate in the whole life cycle and the fusion center is only interested in collecting the abnormal data. The proposed concept combines compressive sensing, machine learning, data transmission, and joint decision making. The sensor readings are encoded and transmitted to the fusion center only when abnormal signals with negative decisions are detected. All the abnormal signals from the end devices are gathered at the fusion center for a joint decision with feedback messages forwarded to the local actuators. The advantage of such an approach lies in that it can significantly reduce the volume of data to be transmitted through wireless links. Moreover, the introduction of compressive sensing can further reduce the dimension of data tremendously. An exemplary case, i.e., diesel engine condition monitoring, is provided to validate the effectiveness and efficiency of the proposed scheme compared to the conventional ones. [less ▲]

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See detailNational responses to date during the COVID-19 crisis in the areas of migration and asylum
Sommarribas, Adolfo UL

Presentation (2020, June 17)

The COVID-19 took by surprise most Member States of the European Union, as they underestimated the rapid spread of the contagion in the continent. The response of the Member States was asymmetrical ... [more ▼]

The COVID-19 took by surprise most Member States of the European Union, as they underestimated the rapid spread of the contagion in the continent. The response of the Member States was asymmetrical, individualistic and significantly slow. The first measures taken were to close down the internal borders. The response of the European Union was even slower to the point that and it was not until March 17th 2020 that the external borders were closed. These actions affected legal migration into the European Union from four perspectives: 1) it affected the mobility of those third country nationals who were on temporary stay in the Member States; 2) the entry of third country nationals to do seasonal work; 3) the entry and stay of legal migrants; and 4) the status quo of the third country nationals already residing in the Member States, especially those who have a loss of income. This article will deal with the measures taken by Member States on who to manage the immigration services during the crisis as well as the measures taken in order to deal with overstayers, seasonal workers and other legal migrants. Finally, we will focus in the vulnerable situation that third-country national salaried workers are exposed due to the loss of income or loss of employment in the Member States and the risk of being returned to their country of origin. This presentation will also analyse the access to unemployment benefits. [less ▲]

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See detailRadio-feature „100 Jahre Ostbelgien“ Folge 6: Politische Streitkultur von 1970 bis 2000
Brüll, Christoph UL; Fickers, Andreas UL

Speeches/Talks (2020)

Seit 1973 verfügen die deutschsprachigen Belgier über ihre eigene parlamentarische Versammlung. Wahlkämpfe in der deutschen Kulturgemeinschaft wurden so zu zentralen Momenten der politischen ... [more ▼]

Seit 1973 verfügen die deutschsprachigen Belgier über ihre eigene parlamentarische Versammlung. Wahlkämpfe in der deutschen Kulturgemeinschaft wurden so zu zentralen Momenten der politischen Auseinandersetzung und des Parteienstreits. In dieser Folge von „100 Jahre Ostbelgien“ wollen Andreas Fickers und Christoph Brüll diese Wahlkämpfe auf der Grundlage von Wahldebatten beleuchten, die der BHF/BRF in den Jahren 1974 bis 1999 ausgestrahlt hat. [less ▲]

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See detailDigraph3 Python Software Collection
Bisdorff, Raymond UL

Software (2020)

Python3 resources for implementing decision aid algorithms in the context of a bipolar-valued outranking approach. These computing resources are useful in the field of Algorithmic Decision Theory and more ... [more ▼]

Python3 resources for implementing decision aid algorithms in the context of a bipolar-valued outranking approach. These computing resources are useful in the field of Algorithmic Decision Theory and more specifically in outranking based Multiple Criteria Decision Aid (MCDA). They provide the practical tools for a Master Course on Algorithmic Decision Theory at the University of Luxembourg. [less ▲]

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See detailOptimisation of the mechanical properties of Miscanthus lightweight concrete (Top 10 Journal)
Pereira Dias, Patrick UL; Waldmann, Danièle UL

in Construction and Building Materials (2020)

In this paper, Miscanthus fibres are used to develop lightweight concrete. The amount of Miscanthus and cement, as well as the water/cement ratio, are varied to analyse the behaviour of the mixture ... [more ▼]

In this paper, Miscanthus fibres are used to develop lightweight concrete. The amount of Miscanthus and cement, as well as the water/cement ratio, are varied to analyse the behaviour of the mixture concerning the physical and mechanical properties. The Miscanthus was pre-treated with a silicate sealant or a cement-based fluid. The current paper analyses the impact of the pre-treatment of the Miscanthus fibres on the compressive strength as well as on the long-term deformations. The specimens with a pre-treatment based on a silicate sealant reached a compressive strength of 19.3 MPa, which is higher than the compressive strength of a conventional LC 16/18, a Young's Modulus above 9.9 GPa and a shrinkage deformation of 2244 μm/m. Nevertheless, considering the density the pre-treatment showed not to be beneficial. [less ▲]

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See detailA Formal Approach to Ontology Recommendation for Enhanced Interoperability in Open IoT Ecosystems
Kolbe, Niklas UL

Doctoral thesis (2020)

The vision of the Internet of Things (IoT) promises novel, intelligent applications to improve services across all industries and domains. Efficient data and service discovery are crucial to unfold the ... [more ▼]

The vision of the Internet of Things (IoT) promises novel, intelligent applications to improve services across all industries and domains. Efficient data and service discovery are crucial to unfold the potential value of cross-domain IoT applications. Today, the Web is the primary enabler for integrating data from distributed networks, with more and more sensors and IoT gateways connected to the Web. However, semantic data models, standards and vocabularies used by IoT vendors and service providers are highly heterogeneous, which makes data discovery and integration a challenging task. Industrial and academic research initiatives increasingly rely on Semantic Web technologies to tackle this challenge. Ongoing research efforts emphasize the development of formal ontologies for the description of Things, sensor networks, IoT services and domain-dependent observations to annotate and link data on the Web. Within this context, there is a research gap in investigating and proposing ontology recommendation approaches that foster the reuse of most suitable ontologies relevant to semantically annotate IoT data sources. Improved ontology reuse in the IoT enhances semantic interoperability and thus facilitates the development of more intelligent and context-aware systems. In this dissertation, we show that ontology recommendation can form a key building block to achieve this consensus in the IoT. In particular, we consider large-scale IoT systems, also referred to as IoT ecosystems, in which a wide range of stakeholders and service providers have to cooperate. In such ecosystems, semantic interoperability can only be efficiently achieved when a high degree of consensus on relevant ontologies among data providers and consumers exists. This dissertation includes the following contributions. First, we conceptualize the task of ontology recommendation and evaluate existing approaches with regard to IoT ecosystem requirements. We identify several limitations in ontology recommendation, especially concerning the IoT, which motivates the main focus on ontology ranking in this dissertation. Second, we subsequently propose a novel approach to ontology ranking that offers a fairer scoring of ontologies if their popularity is unknown and thus helps in providing a better recommendation in the current state of the IoT. We employ a `learning to rank' approach to show that qualitative ranking features can improve the ranking performance and potentially substitute an explicit popularity feature. Third, we propose a novel ontology ranking evaluation benchmark to address the lack of comparison studies for ontology ranking approaches as a general issue in the Semantic Web. We develop a large, representative evaluation dataset that we derive from the collected user click logs of the Linked Open Vocabularies (LOV) platform. It is the first dataset of its kind that is capable of comparing learned ontology ranking models as proposed in the literature under real-world constraints. Fourth, we present an IoT ecosystem application to support data providers in semantically annotating IoT data streams with integrated ontology term recommendation and perform an evaluation based on a smart parking use case. In summary, this dissertation presents the advancements of the state-of-the-art in the design of ontology recommendation and its role for establishing and maintaining semantic interoperability in highly heterogeneous and evolving ecosystems of inter-related IoT services. Our experiments show that ontology ranking features that are well designed with regard to the underlying ontology collection and respective user behavior can significantly improve the ranking quality and, thus, the overall recommendation capabilities of related tools. [less ▲]

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