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See detailCountry-level Variation of Dementia Prevalence in Europe - Comparing OECD and SHARE Data
Klee, Matthias UL; Langa, Kenneth, M.; Leist, Anja UL

Presentation (2022, July 07)

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See detailEnergy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications under Imperfect CSI
Khan, Wali Ullah UL; Jamshed, Muhammad Ali; Lagunas, Eva UL et al

in IEEE Transactions on Intelligent Transportation Systems (2022)

Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and ... [more ▼]

Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other devices. Recently, ambient backscatter communications (AmBC) have gained significant interest in the research community for providing battery-free communications. AmBC can modulate useful data and reflect it towards near devices using the energy and frequency of existing RF signals. However, obtaining channel state information (CSI) for AmBC systems would be very challenging due to no pilot sequences and limited power. As one of the latest members of multiple access technology, non-orthogonal multiple access (NOMA) has emerged as a promising solution for connecting large-scale devices over the same spectral resources in B5G wireless networks. Under imperfect CSI, this paper provides a new optimization framework for energy-efficient transmission in AmBC enhanced NOMA cooperative vehicle-to-everything (V2X) networks. We simultaneously minimize the total transmit power of the V2X network by optimizing the power allocation at BS and reflection coefficient at backscatter sensors while guaranteeing the individual quality of services. The problem of total power minimization is formulated as non-convex optimization and coupled on multiple variables, making it complex and challenging. Therefore, we first decouple the original problem into two sub-problems and convert the nonlinear rate constraints into linear constraints. Then, we adopt the iterative sub-gradient method to obtain an efficient solution. For comparison, we also present a conventional NOMA cooperative V2X network without AmBC. Simulation results show the benefits of our proposed AmBC enhanced NOMA cooperative V2X network in terms of total achievable energy efficiency. [less ▲]

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See detailGeneralising from conventional pipelines using deep learning in high‑throughput screening workfows
Garcia Santa Cruz, Beatriz UL; Sölter, Jan; Gomez Giro, Gemma UL et al

in Scientific Reports (2022)

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality ... [more ▼]

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of the results relies on the accuracy of the image analysis. Although state-of-the-art solutions for image segmentation employ deep learning approaches, the high cost of manually generating ground truth labels for model training hampers the day-to-day application in experimental laboratories. Alternatively, traditional computer vision-based solutions do not need expensive labels for their implementation. Our work combines both approaches by training a deep learning network using weak training labels automatically generated with conventional computer vision methods. Our network surpasses the conventional segmentation quality by generalising beyond noisy labels, providing a 25% increase of mean intersection over union, and simultaneously reducing the development and inference times. Our solution was embedded into an easy-to-use graphical user interface that allows researchers to assess the predictions and correct potential inaccuracies with minimal human input. To demonstrate the feasibility of training a deep learning solution on a large dataset of noisy labels automatically generated by a conventional pipeline, we compared our solution against the common approach of training a model from a small manually curated dataset by several experts. Our work suggests that humans perform better in context interpretation, such as error assessment, while computers outperform in pixel-by-pixel fne segmentation. Such pipelines are illustrated with a case study on image segmentation for autophagy events. This work aims for better translation of new technologies to real-world settings in microscopy-image analysis. [less ▲]

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See detailTransatlantic Chattel Slavery, 1815–1888
Erpelding, Michel UL

in Lovall, Erin; Stefanelli, Justine (Eds.) Reparations Under International Law for Enslavement of African Persons in the Americas and the Caribbean: Proceedings of the Symposium, May 20–21, 2021 (2022, July 06)

This paper addresses the question of the legality and illegality of slavery-related practices during the 19th century under Western international law.

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See detailCentrality and city size effects on NO2 ground and tropospheric concentrations within European cities
Wei, Yufei UL; Caruso, Geoffrey UL; Lemoy, Rémi

Scientific Conference (2022, July 06)

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See detailWhich Factors Play a Role in Coco Issuance? Evidence from European Banks.
Wolff, Christian UL

Scientific Conference (2022, July 06)

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See detailClimate Risk and Price Jumps
Lehnert, Thorsten UL

Scientific Conference (2022, July 05)

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See detailEconomic Sanctions and International Investment Law: Investor and State Defences
Garcia Olmedo, Javier UL

Scientific Conference (2022, July 04)

This workshop examines the law and practice of economic sanctions in light of current developments in the Ukraine-Russia conflict. It explores the legality and implementation of, and possible challenges ... [more ▼]

This workshop examines the law and practice of economic sanctions in light of current developments in the Ukraine-Russia conflict. It explores the legality and implementation of, and possible challenges to, economic sanctions imposed by a number of international actors (including the US, the EU and the UK), as well as their potential impact on businesses and dispute resolution. [less ▲]

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See detailLa question de la licéité des politiques coloniales au regard du principe du droit intertemporel en droit international public: Texte annoté d’une intervention prononcée le 4 juillet 2022 lors d’une audition devant la Commission spéciale « Passé colonial » de la Chambre des Représentants de Belgique
Erpelding, Michel UL

Diverse speeches and writings (2022)

Delivered at a hearing of the Special Committee on Belgium's Colonial Past of the Belgian Chamber of Representatives, this speech challenges the alleged lawfulness of colonial policies under the ... [more ▼]

Delivered at a hearing of the Special Committee on Belgium's Colonial Past of the Belgian Chamber of Representatives, this speech challenges the alleged lawfulness of colonial policies under the intertemporal law principle in public international law based on two considerations. First, due to the development of the history of international law as a fully fledged discipline, we now have a more granular view of the law applicable to international relations in the past. More particularly, recent studies in the field of the history of international law have shown that many colonial policies (e.g. mass murder of colonized populations, "excessive" forced labour, or even the unilateral imposition of colonial rule) were actually illegal under positive late 19th century international law. Second, a simple mechanical application of the intertemporal law principle is now increasingly understood as impossible to reconcile with the universal character of today's international community, sparking increasing calls in favour of a "decolonization" of this principle in order to rid it of its inherently discriminatory nature. [less ▲]

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See detailNon-Orthogonal Multiple Access for Next-Generation Satellite Systems: Flexibility Exploitation and Resource Optimization
Wang, Anyue UL

Doctoral thesis (2022)

In conventional satellite communication systems, onboard resource management follows pre-design approaches with limited flexibility. On the one hand, this can simplify the satellite payload design. On the ... [more ▼]

In conventional satellite communication systems, onboard resource management follows pre-design approaches with limited flexibility. On the one hand, this can simplify the satellite payload design. On the other hand, such limited flexibility hardly fits the scenario of irregular traffic and dynamic demands in practice. As a consequence, the efficiency of resource utilization could be deteriorated, evidenced by mismatches between offered capacity and requested traffic in practical operations. To overcome this common issue, exploiting multi-dimension flexibilities and developing advanced resource management approaches are of importance for next-generation high-throughput satellites (HTS). Non-orthogonal multiple access (NOMA), as one of the promising new radio techniques for future mobile communication systems, has proved its advantages in terrestrial communication systems. Towards future satellite systems, NOMA has received considerable attention because it can enhance power-domain flexibility in resource management and achieve higher spectral efficiency than orthogonal multiple access (OMA). From ground to space, terrestrial-based NOMA schemes may not be directly applied due to distinctive features of satellite systems, e.g., channel characteristics and limited onboard capabilities, etc. To investigate the potential synergies of NOMA in satellite systems, we are motivated to enrich this line of studies in this dissertation. We aim at resolving the following questions: 1) How to optimize resource management in NOMA-enabled satellite systems and how much performance gain can NOMA bring compared to conventional schemes? 2) For complicated resource management, how to accelerate the decision-making procedure and achieve a good tradeoff between complexity reduction and performance improvement? 3) What are the mutual impacts among multiple domains of resource optimization, and how to boost the underlying synergies of NOMA and exploit flexibilities in other domains? The main contributions of the dissertation are organized in the following four chapters: First, we design an optimization framework to enable efficient resource allocation in general NOMA-enabled multi-beam satellite systems. We investigate joint optimization of power allocation, decoding orders, and terminal-timeslot assignment to improve the max-min fairness of the offered-capacity-to-requested-traffic ratio (OCTR). To solve the mixed-integer non-convex programming (MINCP) problem, we develop an optimal fast-convergence algorithmic framework and a heuristic scheme, which outperform conventional OMA in matching capacity to demand. Second, to accelerate the decision-making procedure in resource optimization, we attempt to solve optimization problems for satellite-NOMA from a machine-learning perspective and reveal the pros and cons of learning and optimization techniques. For complicated resource optimization problems in satellite-NOMA, we introduce deep neural networks (DNN) to accelerate decision making and design learning-assisted optimization schemes to jointly optimize power allocation and terminal-timeslot assignment. The proposed learning-optimization schemes achieve a good trade-off between complexity and performance. Third, from a time-domain perspective, beam hopping (BH) is promising to mitigate the capacity-demand mismatches and inter-beam interference by selectively and sequentially illuminating suited beams over timeslots. Motivated by this, we investigate the synergy and mutual influence of NOMA and BH for satellite systems to jointly exploit power- and time-domain flexibilities. We jointly optimize power allocation, beam scheduling, and terminal-timeslot assignment to minimize the capacity-demand gap. The global optimal solution may not be achieved due to the NP-hardness of the problem. We develop a bounding scheme to tightly gauge the global optimum and propose a suboptimal algorithm to enable efficient resource assignment. Numerical results demonstrate the synthetic synergy of combining NOMA and BH, and their individual performance gains compared to the benchmarks. Fourth, from the spatial domain, adaptive beam patterns can adjust the beam coverage to serve irregular traffic demand and alleviate co-channel interference, motivating us to investigate joint resource optimization for satellite systems with flexibilities in power and spatial domains. We formulate a joint optimization problem of power allocation, beam pattern selection, and terminal association, which is in the format of MINCP. To tackle the integer variables and non-convexity, we design an algorithmic framework and a low-complexity scheme based on the framework. Numerical results show the advantages of jointly optimizing NOMA and beam pattern selection compared to conventional schemes. In the end, the dissertation is concluded with the main findings and insights on future works. [less ▲]

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See detailPanels at Rethinking and Rebuilding: Grand Narratives in the History of Computing
Schafer, Valerie UL

Presentation (2022, July 04)

Participation at two roundtables : Could we structure a big story around the materialities of data, computation and networks? Roundtable discussion featuring Cyrus Mody (Maastricht University), Moritz ... [more ▼]

Participation at two roundtables : Could we structure a big story around the materialities of data, computation and networks? Roundtable discussion featuring Cyrus Mody (Maastricht University), Moritz Feichtinger (Universität Bern), Axel Volmar (Siegen University) & Valérie Schafer (C2DH, University of Luxembourg, moderator) / Can we integrate issues of gender, justice and embodiment into the story of the computer itself or must these narratives remain separate and particular? Roundtable discussion featuring Valérie Schafer (C2DH, University of Luxembourg), Jeffrey Yost (Charles Babbage Institute, University of Minnesota) and Elizabeth Petrick (Rice University, moderator). [less ▲]

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See detailDIE GESANGSCHULE FÜR DIE "LITURGIE-SÄNGER" IM PREUßISCHEN MILITÄR VON J.D.C. EINBECK (BERLIN 1829)
Brusniak, Friedhelm; Sagrillo, Damien François UL; Heidler, Manfred

in Sagrillo, Damien François (Ed.) International Wind Music Conference, Bolzano 14-18 July 2022 (2022, July 01)

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See detailLinear system identifiability from single-cell data
Aalto, Atte UL; Lamoline, François UL; Goncalves, Jorge UL

in Systems and Control Letters (2022), 165

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See detailSustainable Governance Indicators (SGI) 2022 - Luxembourg Country Analysis
Danescu, Elena UL; Thomas, Adrien UL; Clément, Franz et al

in Sustainable Governance Indicators (SGI) 2022 - Luxembourg Chapter (2022)

The Grand Duchy is considered as the third most open economy in the world, with an openness rate of 158.2% of GDP. The country has an export-intensive economy, with a recurrent trade deficit. The share of ... [more ▼]

The Grand Duchy is considered as the third most open economy in the world, with an openness rate of 158.2% of GDP. The country has an export-intensive economy, with a recurrent trade deficit. The share of foreign trade in Luxembourg’s GDP is currently higher then 30%. Even in the context of the Covid-19 crisis, the country is pursuing its strategy of public investments. Direct and indirect investments envisaged to reach 4.3% of GDP in 2021, a significantly higher cap than the average of 3.7% during the years 2015-2019.Luxembourg has a highly qualified workforce (59.6% of the active population). Over the past 12 month the overall employment growth rate was 1.6%, and that related to the cross-border workers was 2,2%. Two-thirds of jobs created in Luxembourg are aimed at higher education graduates.With an outstanding social security system, a level of material wellbeing above the EU average and sound public finances, Luxembourg is currently one of the most politically stable and prosperous countries in the world. Its strong fiscal position is well illustrated by a longstanding AAA credit rating, a significant accumulation of government financial assets, and a balanced, healthy fiscal position. The public administration, almost completely digitalised, is efficient and the overall economic outlook remains stable. [less ▲]

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See detailSome Prevalent Sets in Multifractal Analysis: How Smooth is Almost Every Function in T_p^\alpha(x)
Loosveldt, Laurent UL; Nicolay, Samuel

in Journal of Fourier Analysis and Applications (2022), 28(4),

We present prevalent results concerning generalized versions of the $T_p^\alpha$ spaces, initially introduced by Calderón and Zygmund. We notably show that the logarithmic correction appearing in the ... [more ▼]

We present prevalent results concerning generalized versions of the $T_p^\alpha$ spaces, initially introduced by Calderón and Zygmund. We notably show that the logarithmic correction appearing in the quasi-characterization of such spaces is mandatory for almost every function; it is in particular true for the Hölder spaces, for which the existence of the correction was showed necessary for a specific function. We also show that almost every function from $T_p^α (x0 )$ has α as generalized Hölder exponent at $x_0$. [less ▲]

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See detailInternational Wind Music Conference Bolzano 14-18 July 2022. Conference book
Sagrillo, Damien François UL

Book published by Kliment (2022)

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See detailArbeitskreis Historische Kartographie - Tagungsbericht
Uhrmacher, Martin UL

in KN – Journal of Cartography and Geographic Information (2022), 2(2022), 35-40

Detailed reference viewed: 51 (4 UL)