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See detailToward a new model of collaborative problem solving definition and assessment
Stoeffler, K.; Greiff, Samuel UL; Von Davier, A. et al

Scientific Conference (2018, July)

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See detailIntroducing MaFIN. A dynamic matrices finite state automata test
Kunze, Thiemo UL; Krieger, Florian; Stadler, Matthias UL et al

Scientific Conference (2018, July)

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See detailSuccessive convex approximation algorithms for sparse signal estimation with nonconvex regularizations
Yang, Yang UL; Pesavento, Marius; Chatzinotas, Symeon UL et al

in Proc. The 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (2018, July)

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See detailTowards a multifaceted framework of complex problem solving
Stadler, Matthias UL; Niepel, Christoph UL; Greiff, Samuel UL

Scientific Conference (2018, July)

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See detailInnovations in computer-based assessment
Greiff, Samuel UL

Speeches/Talks (2018)

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See detailA Decoupling Approach to Design Observers for Polytopic Takagi-Sugeno Models Subject to Unknown Inputs
Bezzaoucha, Souad UL; Voos, Holger UL; Davila, Jorge et al

in Proceedings of the 2018 American Control Conference (2018, June 27)

A decoupling approach for state estimation of nonlinear systems represented in the polytopic Takagi-Sugeno with unmeasurable premise variables subject to unknown inputs is proposed in this paper. The idea ... [more ▼]

A decoupling approach for state estimation of nonlinear systems represented in the polytopic Takagi-Sugeno with unmeasurable premise variables subject to unknown inputs is proposed in this paper. The idea consists in defining a state and unknown input transformations in order to divide the state vector into two parts, a measurable part and an observable one (decoupled from the unknown input). A classical Luenberger observer to estimate the unmeasurable part is then designed and given in terms of Linear Matrix Inequalities (LMIs) conditions. A numerical example is also presented in order to illustrate the proposed approach. [less ▲]

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See detailCyber Security and Vulnerability Analysis of Networked Control System subject to False-Data injection
Gerard, Benjamin; Bezzaoucha, Souad UL; Voos, Holger UL et al

in Proceedings of the 2018 American Control Conference (2018, June 27)

In the present paper, the problem of networked control system (NCS) cyber security is considered. The geometric approach is used to evaluate the security and vulnerability level of the controlled system ... [more ▼]

In the present paper, the problem of networked control system (NCS) cyber security is considered. The geometric approach is used to evaluate the security and vulnerability level of the controlled system. The proposed results are about the so-called false data injection attacks and show how imperfectly known disturbances can be used to perform undetectable, or at least stealthy, attacks that can make the NCS vulnerable to attacks from malicious outsiders. A numerical example is given to illustrate the approach. [less ▲]

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See detailHighway Network Block with Gates Constraints for Training Very Deep Networks
Oyedotun, Oyebade UL; Shabayek, Abd El Rahman UL; Aouada, Djamila UL et al

in 2018 IEEE International Conference on Computer Vision and Pattern Recognition Workshop, June 18-22, 2018 (2018, June 19)

In this paper, we propose to reformulate the learning of the highway network block to realize both early optimization and improved generalization of very deep networks while preserving the network depth ... [more ▼]

In this paper, we propose to reformulate the learning of the highway network block to realize both early optimization and improved generalization of very deep networks while preserving the network depth. Gate constraints are duly employed to improve optimization, latent representations and parameterization usage in order to efficiently learn hierarchical feature transformations which are crucial for the success of any deep network. One of the earliest very deep models with over 30 layers that was successfully trained relied on highway network blocks. Although, highway blocks suffice for alleviating optimization problem via improved information flow, we show for the first time that further in training such highway blocks may result into learning mostly untransformed features and therefore a reduction in the effective depth of the model; this could negatively impact model generalization performance. Using the proposed approach, 15-layer and 20-layer models are successfully trained with one gate and a 32-layer model using three gates. This leads to a drastic reduction of model parameters as compared to the original highway network. Extensive experiments on CIFAR-10, CIFAR-100, Fashion-MNIST and USPS datasets are performed to validate the effectiveness of the proposed approach. Particularly, we outperform the original highway network and many state-ofthe- art results. To the best our knowledge, on the Fashion-MNIST and USPS datasets, the achieved results are the best reported in literature. [less ▲]

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See detailPose Encoding for Robust Skeleton-Based Action Recognition
Demisse, Girum UL; Papadopoulos, Konstantinos UL; Aouada, Djamila UL et al

in CVPRW: Visual Understanding of Humans in Crowd Scene, Salt Lake City, Utah, June 18-22, 2018 (2018, June 18)

Some of the main challenges in skeleton-based action recognition systems are redundant and noisy pose transformations. Earlier works in skeleton-based action recognition explored different approaches for ... [more ▼]

Some of the main challenges in skeleton-based action recognition systems are redundant and noisy pose transformations. Earlier works in skeleton-based action recognition explored different approaches for filtering linear noise transformations, but neglect to address potential nonlinear transformations. In this paper, we present an unsupervised learning approach for estimating nonlinear noise transformations in pose estimates. Our approach starts by decoupling linear and nonlinear noise transformations. While the linear transformations are modelled explicitly the nonlinear transformations are learned from data. Subsequently, we use an autoencoder with L2-norm reconstruction error and show that it indeed does capture nonlinear noise transformations, and recover a denoised pose estimate which in turn improves performance significantly. We validate our approach on a publicly available dataset, NW-UCLA. [less ▲]

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See detailThrough a century of change: portrait of a pragmatic visionary
Danescu, Elena UL

in Journal of European Integration History = Zeitschrift für Geschichte der Europäischen Integration = Revue d'Histoire de l'Intégration Européenne (2018)

As Prime Minister and Finance Minister of Luxembourg over several decades, Pierre Werner shaped the future of his country and was one of the rare statesmen to play a part in the progress of European ... [more ▼]

As Prime Minister and Finance Minister of Luxembourg over several decades, Pierre Werner shaped the future of his country and was one of the rare statesmen to play a part in the progress of European integration until the mid-1980s. He played a major role in regional integration (BLEU, Benelux) and in EEC policy-making and gained a strong reputation for forging a political consensus between larger powers (Germany and France)and between diametrically opposed positions (‘economists’ vs ‘monetarists’). In this way he succeeded in defending Luxembourg’s vital interests, from the financial centre to the seats of the European institutions. Werner was involved in the major ideological debates of the time. Although initially in favour of a monetary approach, Werner was one of the first to develop arguments for a symmetrical economic and monetary union. [less ▲]

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See detail« La double démocratie. Une Europe politique pour la croissance » (Michel Aglietta et Nicolas Leron, 2017)
Danescu, Elena UL

in Journal of European Integration History = Zeitschrift für Geschichte der Europäischen Integration = Revue d'Histoire de l'Intégration Européenne (2018)

Ce texte receille des notes de lecture critiques relatives à l'analyse interdisciplinaire réalisée par Michel Aglietta et Nicolas Lerron dans leur ouvrage « La double démocratie. Une Europe politique pour ... [more ▼]

Ce texte receille des notes de lecture critiques relatives à l'analyse interdisciplinaire réalisée par Michel Aglietta et Nicolas Lerron dans leur ouvrage « La double démocratie. Une Europe politique pour la croissance », récemment publié aux Éditions du Seuil. Les auteurs placent leur analyse dans une perspective historique, avec l’objectif d’expliquer pourquoi l’Europe est plus vulnérable que les autres région du monde et d’identifier les moyens de donner de nouvelles impulsions au projet européen. Le constat des auteurs est sans appel : l’Union européenne et la zone euro sont aujourd’hui en impasse. Parmi les principales causes, ils identifient l’impuissance publique, les interdépendances négatives entre les États membres et le caractère incomplet de l’UEM. Ils mettent également en lumière une crise de la méthode de l’intégration européenne, vu que le postulat de l’engrenage, ou encore celui des petits pas prôné par Jean Monnet semblent avoir épuisé toutes leurs potentialités. [less ▲]

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See detailORBIT - Overcoming Breakdowns in Teams with Interactive Tabletops
Sunnen, Patrick UL; Arend, Béatrice UL; Maquil, Valérie

in Kay, Judy; Luckin, Rose (Eds.) Rethinking learning in the digital age: Making the Learning Sciences count (2018, June)

ORBIT implements and studies a joint problem-solving activity at an interactive tabletop providing participants with the opportunity to develop their collaboration methods by jointly overcoming breakdowns ... [more ▼]

ORBIT implements and studies a joint problem-solving activity at an interactive tabletop providing participants with the opportunity to develop their collaboration methods by jointly overcoming breakdowns. The design and the research process relies on user-centered design methods and on an ethnomethodological conversation analytic framework. The project will generate scientific knowledge on participants’ collaboration methods and create a powerful collaborative learning tool. [less ▲]

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See detailComputationally and Energy Efficient Symbol-Level Precoding Communications Demonstrator
Krivochiza, Jevgenij UL; Merlano Duncan, Juan Carlos UL; Andrenacci, Stefano UL et al

in Physical Communication (2018), 28

We present a precoded multi-user communication test-bed to demonstrate forward link interference mitigation techniques in a multi-beam satellite system scenario, which will enable a full frequency reuse ... [more ▼]

We present a precoded multi-user communication test-bed to demonstrate forward link interference mitigation techniques in a multi-beam satellite system scenario, which will enable a full frequency reuse scheme. The developed test-bed provides an end-to-end precoding demonstration, which includes a transmitter, a multi-beam satellite channel emulator and user receivers. Each of these parts can be reconfigured accordingly to the desired test scenario. Precoded communications allow full frequency reuse in multiple-input multiple-output (MIMO) channel environments, where several coordinated antennas simultaneously transmit to a number of independent receivers. The developed real-time transmission test-bed assist in demonstrating, designing and benchmarking of the new Symbol-Level Precoding (SLP) techniques, where the data information is used, along with the channel state information, in order to exploit the multi-user interference and transform it into the useful power at the receiver side. The demonstrated SLP technique is designed in order to be computationally efficient, and can be generalized to others multi-channel interference scenarios. [less ▲]

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See detailA Mathematical Model and a Firefly Algorithm for an Extended Flexible Job Shop Problem with Availability Constraints
Tessaro Lunardi, Willian UL; Cherri, Luiz Henrique; Voos, Holger UL

in 17th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 3-7, 2018 (2018, June)

Manufacturing scheduling strategies have historically ignored the availability of the machines. The more realistic the schedule, more accurate the calculations and predictions. Availability of machines ... [more ▼]

Manufacturing scheduling strategies have historically ignored the availability of the machines. The more realistic the schedule, more accurate the calculations and predictions. Availability of machines will play a crucial role in the Industry 4.0 smart factories. In this paper, a mixed integer linear programming model (MILP) and a discrete firefly algorithm (DFA) are proposed for an extended multi-objective FJSP with availability constraints (FJSP-FCR). Several standard instances of FJSP have been used to evaluate the performance of the model and the algorithm. New FJSP-FCR instances are provided. Comparisons among the proposed methods and other state-of-the-art reported algorithms are also presented. Alongside the proposed MILP model, a Genetic Algorithm is implemented for the experiments with the DFA. Extensive investigations are conducted to test the performance of the proposed model and the DFA. The comparisons between DFA and other recently published algorithms shows that it is a feasible approach for the stated problem. [less ▲]

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See detailCarrier Allocation for 5G Integrated Satellite-Terrestrial Backhaul Networks
Lagunas, Eva UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in International Conference on Communications (ICT), Saint-Malo, France, June 2018. (2018, June)

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See detailLes 20 ans de la Cour Constitutionnelle: trop jeune pour mourir?
Gerkrath, Jörg UL

Book published by Pasicrisie luxembourgeoise (2018)

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See detailPOSTER: WLAN Device Fingerprinting using Channel State Information (CSI)
Adamsky, Florian UL; Retunskaia, Tatiana UL; Schiffner, Stefan UL et al

in 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec) (2018, June)

Detailed reference viewed: 12 (0 UL)