References of "2019"
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See detailJoint Scheduling and Precoding for Frame-Based Multigroup Multicasting in Satellite Communications
Bandi, Ashok UL; Shankar, Bhavani UL; Chatzinotas, Symeon UL et al

Scientific Conference (2019, December 09)

Recent satellite standards enforce the coding of multiple users’ data in a frame. This transmission strategy mimics the well-known physical layer multigroup multicasting (MGMC). However, typical beam ... [more ▼]

Recent satellite standards enforce the coding of multiple users’ data in a frame. This transmission strategy mimics the well-known physical layer multigroup multicasting (MGMC). However, typical beam coverage with a large number of users and limited frame length lead to the scheduling of only a few users. Moreover, in emerging aggressive frequency reuse systems, scheduling is coupled with precoding. This is addressed in this work, through the joint design of scheduling and precoding for frame-based MGMC satellite systems. This aim is formulated as the maximization of the sum-rate under per beam power constraint and minimum SINR requirement of scheduled users. Further, a framework is proposed to transform the non-smooth SR objective with integer scheduling and nonconvex SINR constraints as a difference-of-convex problem that facilitates the joint update of scheduling and precoding. Therein, an efficient convex-concave procedure based algorithm is proposed. Finally, the gains (up to 50%) obtained by the jointed design over state-of-the-art methods is shown through Monte-Carlo simulations. [less ▲]

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See detailChallenges in completing EMU: asymmetric competition vs fiscal harmonisation. A case study of the Benelux countries
Danescu, Elena UL

in Journal of Contemporary European Research [=JCER] (2019)

This paper aims to investigate the concept, context and socio-economic consequences of fiscal competition in the integrated economic space of EMU in completion, to pinpoint the positive and negative ... [more ▼]

This paper aims to investigate the concept, context and socio-economic consequences of fiscal competition in the integrated economic space of EMU in completion, to pinpoint the positive and negative factors at work via a case study of the Benelux countries – both founder members of the EU and pioneers of EMU – and to examine the impact on European and international regulations in the field. In particular, it will endeavour to provide a comprehensive interpretation of fiscal policy in the Benelux countries via a comparative approach and from a historical perspective. It will look at the development of respective domestic fiscal policies, driven by national interests and by membership of a Community that is subject to requirements in terms of harmonisation and taxation, but also by constant contact (and frequent clashes) with the multilateral international environment. [less ▲]

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See detailThe Impact of Human Mobility on Edge Data Center Deployment in Urban Environments
Vitello, Piergiorgio UL; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019 (2019, December)

Multi-access Edge Computing (MEC) brings storage and computational capabilities at the edge of the network into so-called Edge Data Centers (EDCs) to better low-latency applications. To this end ... [more ▼]

Multi-access Edge Computing (MEC) brings storage and computational capabilities at the edge of the network into so-called Edge Data Centers (EDCs) to better low-latency applications. To this end, effective placement of EDCs in urban environments is key for proper load balance and to minimize outages. In this paper, we specifically tackle this problem. To fully understand how the computational demand of EDCs varies, it is fundamental to analyze the complex dynamics of cities. Our work takes into account the mobility of citizens and their spatial patterns to estimate the optimal placement of MEC EDCs in urban environments in order to minimize outages. To this end, we propose and compare two heuristics. In particular, we present the mobility-aware deployment algorithm (MDA) that outperforms approaches that do not consider citizens mobility. Simulations are conducted in Luxembourg City by extending the CrowdSenSim simulator and show that efficient EDCs placement significantly reduces outages. [less ▲]

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See detailDistance-based vertex identification in graphs: The outer multiset dimension
Gil-Pons, Reynaldo; Ramirez Cruz, Yunior UL; Trujillo-Rasua, Rolando et al

in Applied Mathematics and Computation (2019), 363

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See detailPOSTER: Traffic Splitting to Counter Website Fingerprinting
de La Cadena Ramos, Augusto Wladimir UL; Mitseva, Asya UL; Pennekamp, Jan et al

Poster (2019, November 11)

Detailed reference viewed: 27 (3 UL)
See detailDimensional and Social Comparison Effects on Domain-Specific Academic Self-Concepts and Interests with First- and Third-Grade Students
van der Westhuizen, Lindie UL; Arens, Katrin; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Academic self-concepts (ASCs) are self-perceptions of one’s own academic abilities. The internal/external frame of reference (I/E) model (Marsh, 1986) explains the formation of domain-specific ASCs ... [more ▼]

Academic self-concepts (ASCs) are self-perceptions of one’s own academic abilities. The internal/external frame of reference (I/E) model (Marsh, 1986) explains the formation of domain-specific ASCs through a combination of social (i.e. comparing one’s achievement in one domain with the achievement of others in the same domain) and dimensional (i.e. comparing one’s achievement in one domain with one’s achievement in another domain) comparisons. This results into positive achievement-self-concept relations within the math and verbal domains, but into negative achievement-self-concept relations across these domains. The generalized internal/external frame of reference (GI/E) model (Möller, Müller-Kalthoff, Helm, Nagy, & Marsh, 2015) extends the I/E model to the formation of other domain-specific academic self-beliefs such as interest. Research on the validity of the (G)I/E model for elementary school children is limited, especially for first-graders. This study examined the associations between verbal and math achievement and corresponding domain-specific self-concepts and interests for first-graders and third-graders. Two fully representative Luxembourgish first-grader cohorts and two fully representative third-graders cohorts (N=21,192) were used. The analyses were based on structural equation modeling. The findings fully supported the (G)I/E model for third-graders: Achievement was positively related to self-concept and interest within matching domains. Negative relations were found between achievement and self-concept and between achievement and interest across domains. For first-graders, achievement was positively related to self-concept and interest within matching domains. However, the majority of cross-domain relations were non-significant, except for the negative path between math achievement and verbal interest. Hence, while the formation of domain-specific ASCs and interests seem to rely on social and dimensional comparisons for third-graders, only social comparisons seem to be in operation for first-graders. Gender and cohort invariance was established for both grade levels. The findings are discussed within the framework of ASC differentiation and dimensional comparison theory applied to elementary school students. [less ▲]

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See detailSimilarities and differences of value-added scores from models with different covariates: A cluster analysis
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Detailed reference viewed: 37 (3 UL)
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See detailMath and Reading Difficulties in a Multilingual Educational Setting
Martini, Sophie Frédérique UL; Fischbach, Antoine UL; Ugen, Sonja UL

Scientific Conference (2019, November 06)

Detailed reference viewed: 24 (2 UL)
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See detailNeed for Cognition across school tracks: The importance of learning environments
Colling, Joanne UL; Wollschläger, Rachel UL; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Detailed reference viewed: 42 (5 UL)
See detailDialog, Monolog, Hybrid - Mehrsprachige Theatertexte in Luxemburg
Bloch, Natalie UL

Presentation (2019, November)

Detailed reference viewed: 29 (0 UL)
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See detailVPGA: an SDN-based Location Privacy Zones Placement Scheme for Vehicular Networks
Boualouache, Abdelwahab UL; Soua, Ridha UL; Engel, Thomas UL

in 38th IEEE International Performance Computing and Communications Conference (IPCCC) (2019, October 29)

Making personal data anonymous is crucial to ensure the adoption of connected vehicles. One of the privacy-sensitive information is location, which once revealed can be used by adversaries to track ... [more ▼]

Making personal data anonymous is crucial to ensure the adoption of connected vehicles. One of the privacy-sensitive information is location, which once revealed can be used by adversaries to track drivers during their journey. Vehicular Location Privacy Zones (VLPZs) is a promising approach to ensure unlinkability. These logical zones can be easily deployed over roadside infrastructures (RIs) such as gas station or electric charging stations. However, the placement optimization problem of VLPZs is NP-hard and thus an efficient allocation of VLPZs to these RIs is needed to avoid their overload and the degradation of the QoS provided within theses RIs. This work considers the optimal placement of the VLPZs and proposes a genetic-based algorithm in a software defined vehicular network to ensure minimized trajectory cost of involved vehicles and hence less consumption of their pseudonyms. The analytical evaluation shows that the proposed approach is cost-efficient and ensures a shorter response time. [less ▲]

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See detailSoftware Engineering for Dataset Augmentation using Generative Adversarial Networks
Jahic, Benjamin UL; Guelfi, Nicolas UL; Ries, Benoît UL

Scientific Conference (2019, October 19)

Software engineers require a large amount of data for building neural network-based software systems. The engineering of these data is often neglected, though, it is a critical and time-consuming activity ... [more ▼]

Software engineers require a large amount of data for building neural network-based software systems. The engineering of these data is often neglected, though, it is a critical and time-consuming activity. In this work, we present a novel software engineering approach for dataset augmentation using neural networks. We propose a rigorous process for generating synthetic data to improve the training of neural networks. Also, we demonstrate our approach to successfully improve the recognition of handwritten digits using conditional generative adversarial networks (cGAN). Finally, we shortly discuss selected important issues of our process, presenting related work and proposing some improvements. [less ▲]

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See detailMonitoring du système scolaire – Le modèle luxembourgeois (invited talk)
Fischbach, Antoine UL

Scientific Conference (2019, October 17)

Detailed reference viewed: 36 (6 UL)
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See detailModelling of Railways Signalling System Requirements by Controlled Natural Languages: A Case Study
Lenzini, Gabriele UL; Petrocchi, Marinella

in From Software Engineering to Formal Methods and Tools, and Back (2019)

The railway sector has been a source of inspiration for generations of researchers challenged to develop models and tools to analyze safety and reliability. Threats were coming mainly from within, due to ... [more ▼]

The railway sector has been a source of inspiration for generations of researchers challenged to develop models and tools to analyze safety and reliability. Threats were coming mainly from within, due to occasionally faults in hardware components. With the advent of smart trains, the railway industry is venturing into cybersecurity and the railway sector will become more and more compelled to protect assets from threats against information & communication technology. We discuss this revolution at large, while speculating that instruments developed for security requirements engineering can then come in support of in the railway sector. And we explore the use of one of them: the Controlled Natural Language for Data Sharing Agreement (CNL4DSA). We use it to formalize a few exemplifying signal management system requirements. Since CNL4DSA enables the automatic generation of enforceable access control policies, our exercise is preparatory to implementing the security-by design principle in railway signalling management engineering. [less ▲]

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See detailParadox: Mehr Bildung, weniger Gleichheit
Powell, Justin J W UL

in Powell, Justin J W (Ed.) Wissen aktuell: Exoplaneten, Urknall und Bildung (2019)

Bildung für sozialen Fortschritt: Wie wirkt sich ein Mehr an Bildung auf eine Gesellschaft aus? Dieser Frage widmete sich eine Tagung am Institut für Höhere Studien in Wien. In den vergangenen Jahrzenten ... [more ▼]

Bildung für sozialen Fortschritt: Wie wirkt sich ein Mehr an Bildung auf eine Gesellschaft aus? Dieser Frage widmete sich eine Tagung am Institut für Höhere Studien in Wien. In den vergangenen Jahrzenten ist der Bildungsstand weltweit gestiegen und geht mit einem längeren, gesünderen Leben, einer höheren Produktivität und mehr zivilgesellschaftlichem Engagement einher. Gleichzeitig kann Bildung die soziale Ungleichheit verschärfen. Gestaltung: Julia Geistberger Mit: Justin Powell, Bildungssoziologe Universität Luxemburg Redaktion: Barbara Daser [less ▲]

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See detailL'Histoire avec sa grande Hache et la Plume
Scuto, Denis UL

Article for general public (2019)

A chronicle by historian Denis Scuto on the new novel of Jean Portante about the migrations of twins, Lorenzo and Antonio Tramagni from San Demetrio (Abruzze, Italy), the one to New York and West Virginia ... [more ▼]

A chronicle by historian Denis Scuto on the new novel of Jean Portante about the migrations of twins, Lorenzo and Antonio Tramagni from San Demetrio (Abruzze, Italy), the one to New York and West Virginia, the other to Hussigny (Lorraine, France) and Differdange (Luxembourg), their fates and those of their descendants, closely linked to the tragedies of 20th century. [less ▲]

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See detailSoftwarization of SCADA: Lightweight Statistical SDN-Agents for Anomaly Detection
Rinaldi, Giulia UL; Adamsky, Florian UL; Soua, Ridha UL et al

in 10th International Conference on Networks of the Future (NoF) (2019, October 04)

The increasing connectivity of restricted areas suchas Critical Infrastructures (CIs) raises major security concernsfor Supervisory Control And Data Acquisition (SCADA) systems,which are deployed to ... [more ▼]

The increasing connectivity of restricted areas suchas Critical Infrastructures (CIs) raises major security concernsfor Supervisory Control And Data Acquisition (SCADA) systems,which are deployed to monitor their operation. Given the impor-tance of an early anomaly detection, Intrusion Detection Systems(IDSs) are introduced in SCADA systems to detect malicious ac-tivities as early as possible. Agents or probes form the cornerstoneof any IDS by capturing network packets and extracting relevantinformation. However, IDSs are facing unprecedented challengesdue to the escalation in the number, scale and diversity of attacks.Software-Defined Network (SDN) then comes into play and canprovide the required flexibility and scalability. Building on that,we introduce Traffic Agent Controllers (TACs) that monitor SDN-enabled switches via OpenFlow. By using lightweight statisticalmetrics such as Kullback-Leibler Divergence (KLD), we are ableto detect the slightest anomalies, such as stealth port scans, evenin the presence of background traffic. The obtained metrics canalso be used to locate the anomalies with precision over 90%inside a hierarchical network topology. [less ▲]

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See detailThe Power of LC-MS Based Multiomics: Exploring Adipogenic Differentiation of Human Mesenchymal Stem/Stromal Cells
Rampler, Evelyn; Egger, Dominik; Schoeny, Harald et al

in Molecules (2019)

The molecular study of fat cell development in the human body is essential for our understanding of obesity and related diseases. Mesenchymal stem/stromal cells (MSC) are the ideal source to study fat ... [more ▼]

The molecular study of fat cell development in the human body is essential for our understanding of obesity and related diseases. Mesenchymal stem/stromal cells (MSC) are the ideal source to study fat formation as they are the progenitors of adipocytes. In this work, we used human MSCs, received from surgery waste, and differentiated them into fat adipocytes. The combination of several layers of information coming from lipidomics, metabolomics and proteomics enabled network analysis of the biochemical pathways in adipogenesis. Simultaneous analysis of metabolites, lipids, and proteins in cell culture is challenging due to the compound’s chemical difference, so most studies involve separate analysis with unimolecular strategies. In this study, we employed a multimolecular approach using a two–phase extraction to monitor the crosstalk between lipid metabolism and protein-based signaling in a single sample (~105 cells). We developed an innovative analytical workflow including standardization with in-house produced 13C isotopically labeled compounds, hyphenated high-end mass spectrometry (high-resolution Orbitrap MS), and chromatography (HILIC, RP) for simultaneous untargeted screening and targeted quantification. Metabolite and lipid concentrations ranged over three to four orders of magnitude and were detected down to the low fmol (absolute on column) level. Biological validation and data interpretation of the multiomics workflow was performed based on proteomics network reconstruction, metabolic modelling (MetaboAnalyst 4.0), and pathway analysis (OmicsNet). Comparing MSCs and adipocytes, we observed significant regulation of different metabolites and lipids such as triglycerides, gangliosides, and carnitine with 113 fully reprogrammed pathways. The observed changes are in accordance with literature findings dealing with adipogenic differentiation of MSC. These results are a proof of principle for the power of multimolecular extraction combined with orthogonal LC-MS assays and network construction. Considering the analytical and biological validation performed in this study, we conclude that the proposed multiomics workflow is ideally suited for comprehensive follow-up studies on adipogenesis and is fit for purpose for different applications with a high potential to understand the complex pathophysiology of diseases. [less ▲]

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See detailArchives du Web, "la cathédrale et le bazar"
Schafer, Valerie UL

Presentation (2019, October 03)

Le groupe de travail Ethique & Droit a organisé, avec le soutien de l’URFIST Méditerranée, une journée d’étude intitulée « Diffuser les données numériques en SHS : le droit et l’éthique comme alliés » ... [more ▼]

Le groupe de travail Ethique & Droit a organisé, avec le soutien de l’URFIST Méditerranée, une journée d’étude intitulée « Diffuser les données numériques en SHS : le droit et l’éthique comme alliés ». S’inscrivant dans la dynamique de la science ouverte, cette journée d’étude a présenté l’actualité juridique et éthique de la diffusion des données en SHS tout en précisant les orientations actuelles des institutions d’enseignement et de recherche en la matière. De nouvelles problématiques, comme celles soulevées par les archives du web, ont été abordées, notamment lors de mon intervention qui prenait pour point de départ la référence à l'ouvrage d'E. Raymond et les différents modèles de conservation et d'accès aux archives du Web mais aussi les enjeux éthiques posés par les périmètres de conservation notamment. voir: https://ethiquedroit.hypotheses.org/3003 [less ▲]

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See detailEnforcing the European Pillar of Social Rights: Finding the Right Mix and Balance
Muñoz, Susana UL

in Effective Enforcement of EU Law & Policy <www.euenforcement.com/research-blog-1> (2019)

Against the backdrop of the recent multidimensional crisis, significant changes have been introduced to the legal and political frameworks in which the EU and its Member States design, implement, monitor ... [more ▼]

Against the backdrop of the recent multidimensional crisis, significant changes have been introduced to the legal and political frameworks in which the EU and its Member States design, implement, monitor and evaluate policies and practices. Both the nature and the content of the European Pillar of Social Rights (EPSR) raise issues regarding effective enforcement of EU law and policy in the post-crisis context. From this perspective, this contribution addresses the main challenges facing the EPRS and explores possible ways forward. [less ▲]

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