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See detailCorporate Managers, Price Noise and the Investment Factor
Lehnert, Thorsten UL

in Financial Innovation (2022), 8(61),

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See detailRent, sell, and remanufacture: The manufacturer’s choice when remanufacturing can be outsourced
liu, Jian; Mantin, Binyamin UL; Song, Xuefeng

in European Journal of Operational Research (2022), 303(1), 184-200

Manufacturers have increasingly started offering rental options for the products they sell. Renting products offers an opportunity: segmenting consumers. However, this also raises a challenge: what to do ... [more ▼]

Manufacturers have increasingly started offering rental options for the products they sell. Renting products offers an opportunity: segmenting consumers. However, this also raises a challenge: what to do with the returned products? One solution is to remanufacture these products and then rent or resell them. Subsequently, should remanufacturing be outsourced to a third-party firm that can remanufacture at a lower cost? Here, we use a multi-period setting and examine the optimal decisions for different selling and renting constellations. Importantly, we allow the manufacturing costs of the sales and rental products to differ, as they seem to be critical in determining the manufacturer's renting and selling decisions and remanufacturing strategies. For example, under integrated (i.e. in-house) remanufacturing, when the new rental product's manufacturing cost is sufficiently high, no remanufacturing happens. Under both remanufacturing strategies—integrated and outsourced—the manufacturer does not rent new products in the second period if the manufacturing costs of the sales and rental products are identical. If the rental product's manufacturing cost is either sufficiently low or high, then integrated remanufacturing is more profitable; when this manufacturing cost is within a moderate range, the manufacturer outsources remanufacturing to an independent remanufacturer. Surprisingly, in some situations, the production quantity of the new sales product may even increase with its manufacturing cost. This is because the manufacturer may extract an even higher margin compared with the new rental product. Finally, we also consider several extensions such as uncertainty regarding the quality of the returned goods, simultaneous selling and renting of remanufactured goods, and longer horizons and the product's life cycle. [less ▲]

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See detailPrivacy-preserving federated learning for residential short-term load forecasting
Delgado Fernandez, Joaquin UL; Potenciano Menci, Sergio UL; Lee, Chul Min UL et al

in Applied Energy (2022), 326

With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important role when making these ... [more ▼]

With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important role when making these forecasts as they provide detailed load data. However, using smart meter data for load forecasting is challenging due to data privacy requirements. This paper investigates how these requirements can be addressed through a combination of federated learning and privacy preserving techniques such as differential privacy and secure aggregation. For our analysis, we employ a large set of residential load data and simulate how different federated learning models and privacy preserving techniques affect performance and privacy. Our simulations reveal that combining federated learning and privacy preserving techniques can secure both high forecasting accuracy and near-complete privacy. Specifically, we find that such combinations enable a high level of information sharing while ensuring privacy of both the processed load data and forecasting models. Moreover, we identify and discuss challenges of applying federated learning, differential privacy and secure aggregation for residential short-term load forecasting. [less ▲]

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See detailElectricity powered by blockchain: A review with a European perspective
Roth, Tamara UL; Utz, Manuel; Baumgarte, Felix et al

in Applied Energy (2022), 325

Blockchain is no longer just a hype technology, and effective blockchain applications exist in many industries. Yet, few blockchain projects have been successful in Europe’s energy systems. To identify ... [more ▼]

Blockchain is no longer just a hype technology, and effective blockchain applications exist in many industries. Yet, few blockchain projects have been successful in Europe’s energy systems. To identify the reasons for this slow progress, we reviewed the recent energy literature regarding the use of blockchain, analyzed industry reports, and interviewed experts who have conducted blockchain projects in Europe’s energy systems. Our analysis reveals eight common use cases, their expected benefits, and the challenges encountered. We find that the expected benefits are often little more than generic hopes, largely outweighed by technological, organizational, and regulatory challenges. The identified challenges are significant and numerous, especially for peer-to-peer trading and microgrid use cases. The fact that few projects have yet provided robust evidence for profitable use suggests there is still a rocky road ahead. Moreover, many use cases appear to require more than just blockchain technology to succeed. In particular, privacy and scalability requirements often call for systems in which blockchains only take a backseat. This realization may be essential for the future use of blockchain technology in energy systems – in Europe and beyond. [less ▲]

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See detailSecure and Distributed Assessment of Privacy-Preserving Releases of GWAS
Pascoal, Túlio UL; Decouchant, Jérémie; Volp, Marcus UL

in ACM/IFIP International Middleware Conference (2022, November)

Genome-wide association studies (GWAS) identify correlations between the genetic variants and an observable characteristic such as a disease. Previous works presented privacy-preserving distributed ... [more ▼]

Genome-wide association studies (GWAS) identify correlations between the genetic variants and an observable characteristic such as a disease. Previous works presented privacy-preserving distributed algorithms for a federation of genome data holders that spans multiple institutional and legislative domains to securely compute GWAS results. However, these algorithms have limited applicability, since they still require a centralized instance to decide whether GWAS results can be safely disclosed, which is in violation to privacy regulations, such as GDPR. In this work, we introduce GenDPR, a distributed middleware that leverages Trusted Execution Environments (TEEs) to securely determine a subset of the potential GWAS statistics that can be safely released. GenDPR achieves the same accuracy as centralized solutions, but requires transferring significantly less data because TEEs only exchange intermediary results but no genomes. Additionally, GenDPR can be configured to tolerate all-but-one honest-but-curious federation members colluding with the aim to expose genomes of correct members. [less ▲]

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See detailSpecifying Source Code and Signal-based Behaviour of CPS Components
Dawes, Joshua UL; Bianculli, Domenico UL

in Dawes, Joshua; Bianculli, Domenico (Eds.) Proceedings of the 18th International Conference on Formal Aspects of Component Software (2022, November)

Specifying properties over the behaviour of components of Cyber-Physical Systems usually focuses on the behaviour of signals, i.e., the behaviour of the physical part of the system, leaving the behaviour ... [more ▼]

Specifying properties over the behaviour of components of Cyber-Physical Systems usually focuses on the behaviour of signals, i.e., the behaviour of the physical part of the system, leaving the behaviour of the cyber components implicit. There have been some attempts to provide specification languages that enable more explicit reference to the behaviour of cyber components, but it remains awkward to directly express the behaviour of both cyber and physical components in the same specification, using one formalism. In this paper, we introduce a new specification language, Source Code and Signal Logic (SCSL), that 1) provides syntax specific to both signals and events originating in source code; and 2) does not require source code events to be abstracted into signals. We introduce SCSL by giving its syntax and semantics, along with examples. We then provide a comparison between SCSL and existing specification languages, using an example property, to show the benefit of using SCSL to capture certain types of properties. [less ▲]

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See detailBetting Against Noisy Beta
Lehnert, Thorsten UL

in Journal of Finance and Data Science (2022), 8(-), 55-68

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See detailAustralian Indigenous Life Writing: Analysing Discourses with Word Embedding Modelling
Kamlovskaya, Ekaterina UL

Doctoral thesis (2022)

The genre of Australian Aboriginal autobiography is a literature of significant socio-political importance, with authors sharing a history different to the one previously asserted by the European settlers ... [more ▼]

The genre of Australian Aboriginal autobiography is a literature of significant socio-political importance, with authors sharing a history different to the one previously asserted by the European settlers which ignored or misrepresented Australia's First People. While there has been a number of studies looking at the works belonging to this genre from various perspectives, Australian Indigenous life writing has never been approached from the digital humanities point of view which, given the constant development of computer technologies and growing availability of digital sources, offers humanities researchers many opportunities for exploring textual collections from various angles. With this research work I contribute to closing the above-mentioned research gap and discuss the results of the interdisciplinary research project within the scope of which I created a bibliography of published Australian Indigenous life writing works, designed and assembled a corpus and created word embedding models of this corpus which I then used to explore the discourses of identity, land, sport, and foodways, as well as gender biases present in the texts in the context of postcolonial literary studies and Australian history. Studying these discourses is crucial for gaining a better understanding of the contemporary Australian society as well as the nation's history. Word embeddings modelling has recently been used in digital humanities as an exploratory technique to complement and guide traditional close reading approaches, which is justified by their potential to identify word use patterns in a collection of texts. In this dissertation, I provide a case study of how word embedding modelling can be used to investigate humanities research questions and reflect on the issues which researchers may face while working with such models, approaching various aspects of the research project from the perspectives of digital source and tool criticism. I demonstrate how word embedding model of the analysed corpus represents discourses through relationships between word vectors that reflect the historical, political, and cultural environment of the authors and some unique experiences and perspectives related to their racial and gender identities. I show how the narrators reconstruct the analysed discourses to achieve the main goals of Australian Indigenous life writing as a genre - reclaiming identity and rewriting history. [less ▲]

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See detailLearning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning
Orsula, Andrej UL; Bøgh, Simon; Olivares Mendez, Miguel Angel UL et al

Scientific Conference (2022, October 24)

Extraterrestrial rovers with a general-purpose robotic arm have many potential applications in lunar and planetary exploration. Introducing autonomy into such systems is desirable for increasing the time ... [more ▼]

Extraterrestrial rovers with a general-purpose robotic arm have many potential applications in lunar and planetary exploration. Introducing autonomy into such systems is desirable for increasing the time that rovers can spend gathering scientific data and collecting samples. This work investigates the applicability of deep reinforcement learning for vision-based robotic grasping of objects on the Moon. A novel simulation environment with procedurally-generated datasets is created to train agents under challenging conditions in unstructured scenes with uneven terrain and harsh illumination. A model-free off-policy actor-critic algorithm is then employed for end-to-end learning of a policy that directly maps compact octree observations to continuous actions in Cartesian space. Experimental evaluation indicates that 3D data representations enable more effective learning of manipulation skills when compared to traditionally used image-based observations. Domain randomization improves the generalization of learned policies to novel scenes with previously unseen objects and different illumination conditions. To this end, we demonstrate zero-shot sim-to-real transfer by evaluating trained agents on a real robot in a Moon-analogue facility. [less ▲]

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See detailThe Aesthetics of Smoke in Interwar Luxembourgish Literature
Millim, Anne-Marie UL

Presentation (2022, October 19)

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See detailDie Uni Luxemburg vernetzt kluge Köpfe für die Nachkriegszeit
Ganschow, Inna UL; Sebastian, Weisbrodt; During, Marten UL et al

Article for general public (2022)

"Am Campus Belval sollen die Forschenden aus der Ukraine durch das LURN (Luxembourg Ukrainian Researcher Network) ein interdisziplinäres Netzwerk aufbauen, also Forschende außerhalb ihres Fachgebiets ... [more ▼]

"Am Campus Belval sollen die Forschenden aus der Ukraine durch das LURN (Luxembourg Ukrainian Researcher Network) ein interdisziplinäres Netzwerk aufbauen, also Forschende außerhalb ihres Fachgebiets kennenlernen. Zusätzlich sollen sie Berührungspunkte mit der luxemburgischen Forschungslandschaft bekommen." [less ▲]

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See detailL'espace frontalier franco-luxembourgeois vu depuis le Luxembourg
Brüll, Christoph UL

Scientific Conference (2022, October 02)

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

in Journal of Derivatives (2022), (Fall),

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See detailAus den Fehlern von Belval lernen
Scuto, Denis UL

Article for general public (2022)

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See detailRethinking commonality in refugee status determination in Europe: Legal geographies of asylum appeals
Gill, Nick; Hoellerer, Nicole; Allsopp, Jennifer et al

in Political Geography (2022), 98

The Common European Asylum System aims to establish common standards for refugee status determination among EU Member States. Combining insights from legal and political geography we bring the depth and ... [more ▼]

The Common European Asylum System aims to establish common standards for refugee status determination among EU Member States. Combining insights from legal and political geography we bring the depth and scale of this challenge into sharp relief. Drawing on interviews and a detailed ethnography of asylum adjudication involving over 850 in-person asylum appeal observations, we point towards practical differences in the spatio-temporality, materiality and logistics of asylum appeal processes as they are operationalised in seven European countries. Our analysis achieves three things. Firstly, we identify a key zone of differences at the level of concrete, everyday implementation that has largely escaped academic attention, which allows us to critically assess the notion of harmonisation of asylum policies in new ways. Secondly, drawing on legal- and political-geographical concepts, we offer a way to conceptualise this zone by paying attention to the spatio-temporality, materiality and logistics it involves. Thirdly, we offer critical legal logistics as a new direction for scholarship in legal geography and beyond that promises to prise open the previously obscured mechanics of contemporary legal systems. [less ▲]

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See detailEnhancing Rover Teleoperation on the Moon With Proprioceptive Sensors and Machine Learning Techniques
Coloma Chacon, Sofia UL; Martinez Luna, Carol UL; Yalcin, Baris Can UL et al

in IEEE Robotics and Automation Letters (2022)

Geological formations, environmental conditions, and soil mechanics frequently generate undesired effects on rovers’ mobility, such as slippage or sinkage. Underestimating these undesired effects may ... [more ▼]

Geological formations, environmental conditions, and soil mechanics frequently generate undesired effects on rovers’ mobility, such as slippage or sinkage. Underestimating these undesired effects may compromise the rovers’ operation and lead to a premature end of the mission. Minimizing mobility risks becomes a priority for colonising the Moon and Mars. However, addressing this challenge cannot be treated equally for every celestial body since the control strategies may differ; e.g. the low latency EarthMoon communication allows constant monitoring and controls, something not feasible on Mars. This letter proposes a Hazard Information System (HIS) that estimates the rover’s mobility risks (e.g. slippage) using proprioceptive sensors and Machine Learning (supervised and unsupervised). A Graphical User Interface was created to assist human-teleoperation tasks by presenting mobility risk indicators. The system has been developed and evaluated in the lunar analogue facility (LunaLab) at the University of Luxembourg. A real rover and eight participants were part of the experiments. Results demonstrate the benefits of the HIS in the decision-making processes of the operator’s response to overcome hazardous situations. [less ▲]

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See detailTowards the Application of Neuromorphic Computing to Satellite Communications
Ortiz Gomez, Flor de Guadalupe UL; Lagunas, Eva UL; Alves Martins, Wallace UL et al

in Towards the Application of Neuromorphic Computing to Satellite Communications (2022, October)

Artificial intelligence (AI) has recently received significant attention as a key enabler for future 5G-and-beyond terrestrial wireless networks. The applications of AI to satellite communications is also ... [more ▼]

Artificial intelligence (AI) has recently received significant attention as a key enabler for future 5G-and-beyond terrestrial wireless networks. The applications of AI to satellite communications is also gaining momentum to realize a more autonomous operation with reduced requirements in terms of human intervention. The adoption of AI for satellite communications will set new requirements on computing processors, which will need to support large workloads as efficiently as possible under harsh environmental conditions. In this context, neuromorphic processing (NP) is emerging as a bio-inspired solution to address pattern recognition tasks involving multiple, possibly unstructured, temporal signals and/or requiring continual learning. The key merits of the technology are energy efficiency and capacity for on-device adaptation. In this paper, we highlight potential use cases and applications of NP to satellite communications. We also explore major technical challenges for the implementation of space-based NP focusing on the available NP chipsets. [less ▲]

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See detailA multilingual dataset of COVID-19 vaccination attitudes on Twitter
Chen, Ninghan UL; Chen, Xihui UL; Pang, Jun UL

in Data in Brief (2022), 44

Detailed reference viewed: 19 (1 UL)