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COVID-19 and the Internet: Lessons Learned

Stocker, Volker (author), Lehr, William (author), Smaragdakis, G. (author)

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and...

book chapter 2023

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Aerodynamic characteristics of wind turbine blade airfoils

Timmer, W.A. (author), Bak, Christian (author)

This chapter focuses on airfoils for wind turbine blades and their characteristics. The use of panel codes such as XFOIL and RFOIL and CFD codes for the prediction of airfoil characteristics is briefly described. This chapter then discusses the requirements for wind turbine blade airfoils and the effect of leading edge roughness and Reynolds...

book chapter 2023

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How Ready is DNS for an IPv6-Only World?

Streibelt, Florian (author), Sattler, Patrick (author), Lichtblau, Franziska (author), Hernandez Ganan, C. (author), Feldmann, Anja (author), Gasser, Oliver (author), Fiebig, Tobias (author)

DNS is one of the core building blocks of the Internet. In this paper, we investigate DNS resolution in a strict IPv6-only scenario and find that a substantial fraction of zones cannot be resolved. We point out, that the presence of an AAAA resource record for a zone’s nameserver does not necessarily imply that it is resolvable in an IPv6-only...

conference paper 2023

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Algorithms for partially robust team formation

Schwind, Nicolas (author), Demirović, E. (author), Inoue, Katsumi (author), Lagniez, Jean Marie (author)

In one of its simplest forms, Team Formation involves deploying the least expensive team of agents while covering a set of skills. While current algorithms are reasonably successful in computing the best teams, the resilience to change of such solutions remains an important concern: Once a team has been formed, some of the agents considered...

journal article 2023

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Achieving superelasticity in additively manufactured Ni-lean NiTi by crystallographic design

Zhu, Jia-Ning (author), Liu, K. (author), Riemslag, A.C. (author), Tichelaar, F.D. (author), Borisov, Evgenii (author), Yao, Xiyu (author), Popovich, Anatoly (author), Huizenga, R.M. (author), Hermans, M.J.M. (author), Popovich, V. (author)

Superelastic metallic materials possessing large recoverable strains are widely used in automotive, aerospace and energy conversion industries. Superelastic materials working at high temperatures and with a wide temperature range are increasingly required for demanding applications. Until recently, high-temperature superelasticity has only...

journal article 2023

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Highly reproducible tissue positioning with tapered pillar design in engineered heart tissue platforms

Dostanic, M. (author), Windt, Laura (author), Wiendels, Maury (author), van Meer, Berend J. (author), Mummery, Christine L. (author), Sarro, Pasqualina M (author), Mastrangeli, Massimo (author)

We present a novel design of elastic micropillars for tissue self-assembly in engineered heart tissue (EHT) platforms. The innovative tapered profile confines reproducibly the tissue position along the main micropillar axis, increasing the accuracy of tissue contraction force measurement. Polydimethylsiloxane-based pillars were designed and...

conference paper 2023

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HPAKE: Honey Password-authenticated Key Exchange for Fast and Safer Online Authentication

Li, Wenting (author), Wang, Ping (author), Liang, K. (author)

Password-only authentication is one of the most popular secure mechanisms for real-world online applications. But it easily suffers from a practical threat - password leakage, incurred by external and internal attackers. The external attacker may compromise the password file stored on the authentication server, and the insider may...

journal article 2023

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FE-assisted investigation for mechanical behaviour of connections in offshore wind turbine towers

Cheng, L. (author), Yang, Fei (author), Seidel, Marc (author), Veljkovic, M. (author)

The overall competitiveness of offshore wind turbine towers is significantly influenced by the selection of the connection. The following three types of connections: a conventional bolted ring flange (RF) connection, ring flange connection with defined contact surfaces (RFD), and C1 wedge connection (C1-WC) are considered. A quantitative...

journal article 2023

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Statistical characterization of simulated wind ramps

Baki, B. (author), Basu, S. (author), Lavidas, G. (author)

Wind ramps, or rapid changes in wind speed, are a crucial aspect of atmospheric dynamics and have significant implications for various wind energy applications. For example, wind ramps tend to increase uncertainty in power output predictions. Furthermore, they also induce fatigue damage to wind turbines.<br/>In a recent study, DeMarco and Basu ...

abstract 2023

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Real-Time Nonlinear Control Allocation Framework for Vehicles with Highly Nonlinear Effectors Subject to Saturation

Mancinelli, A. (author), Remes, B.D.W. (author), de Croon, G.C.H.E. (author), Smeur, E.J.J. (author)

Hybrid Unmanned Aerial Vehicles UAV are vehicles capable of take-off and landing vertically like helicopters while maintaining the long-range efficiency of fixed-wing aircraft. Unfortunately, due to their wing area, these vehicles are sensitive to wind gusts when hovering. One way to increase the hovering wind-rejection capabilities of hybrid...

journal article 2023

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Sentiment overflow in the testing stack: Analyzing software testing posts on Stack Overflow

Swillus, M. (author), Zaidman, A.E. (author)

Software testing is an integral part of modern software engineering practice. Past research has not only underlined its significance, but also revealed its multi-faceted nature. The practice of software testing and its adoption is influenced by many factors that go beyond tools or technology. This paper sets out to investigate the context of...

journal article 2023

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Moonraker: Enceladus Multiple Flyby Mission

Mousis, O. (author), Bouquet, A. (author), Langevin, Y. (author), André, N. (author), Boithias, H. (author), Durry, G. (author), Faye, F. (author), Hartogh, P. (author), Cazaux, S.M. (author)

Enceladus, an icy moon of Saturn, possesses an internal water ocean and jets expelling ocean material into space. Cassini investigations indicated that the subsurface ocean could be a habitable environment having a complex interaction with the rocky core. Further investigation of the composition of the plume formed by the jets is necessary to...

journal article 2023

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Maximizing diesel removal from contaminated sand using Scirpus mucronatus and assessment of rhizobacteria addition effect

Purwanti, Ipung Fitri (author), Abdullah, Siti Rozaimah Sheikh (author), Hamzah, Ainon (author), Idris, Mushrifah (author), Basri, Hassan (author), Latif, Mohd Talib (author), Mukhlisin, Muhammad (author), Kurniawan, Setyo Budi (author), Imron, M.F. (author)

Phytoremediation is one of the green technologies that is friendly to nature, utilizes fewer chemicals, and exhibits good performance. In this study, phytoremediation was used to treat diesel-contaminated sand using a local aquatic plant species, Scirpus mucronatus, by analyzing the amount of total petroleum hydrocarbons (TPHs). Optimization...

journal article 2023

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Frustumbug: a 3D mapless stereo-vision-based bug algorithm for Micro Air Vehicles

Meester, R.S. (author), van Dijk, Tom (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)

Obstacle avoidance is an important capability for flying robots. But for robots with limited resources, such as small drones this becomes particularly challenging. Bug algorithms have been proposed to solve path planning with only minimal resources. And stereo vision provides a rich description of the world for limited weight but typically has a...

conference paper 2023

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Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor

Vlothuizen, W.J. (author), Ferreira Marques, J.M. (author), van Straten, J. (author), Ali, H. (author), Muthusubramanian, N. (author), Zachariadis, C. (author), van Someren, J. (author), Beekman, M. (author), Haider, S.N. (author), Bruno, A. (author), Almudever, Carmen G. (author), DiCarlo, L. (author)

Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related to the implementation of non-linear functions using quantum circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow...

journal article 2023

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Characterization of unipolar electrogram morphology: A novel tool for quantifying conduction inhomogeneity

Ye, Ziliang (author), van Schie, M.S. (author), Pool, Lisa (author), Heida, Annejet (author), Knops, Paul (author), Taverne, Yannick J.H.J. (author), Brundel, Bianca J.J.M. (author), de Groot, N.M.S. (author)

Aims: Areas of conduction inhomogeneity (CI) during sinus rhythm may facilitate the initiation and perpetuation of atrial fibrillation (AF). Currently, no tool is available to quantify the severity of CI. Our aim is to develop and validate a novel tool using unipolar electrograms (EGMs) only to quantify the severity of CI in the atria....

journal article 2023

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A novel lattice model to predict chloride diffusion coefficient of unsaturated cementitious materials based on multi-typed pore structure characteristics

Tong, Liang-yu (author), Xiong, Qing Xiang (author), Zhang, Zhidong (author), Chen, Xiangsheng (author), Ye, G. (author), Liu, Qing feng (author)

This paper develops a novel lattice diffusive model to quantitatively study the chloride diffusion coefficient in unsaturated cementitious materials, in which the pore voxels are redistributed to make a better representation of a real microstructure of hardened cement paste. Considering the hierarchical microstructure and different drying...

journal article 2023

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Algorithmic Transparency and Manipulation

Klenk, M.B.O.T. (author)

A series of recent papers raises worries about the manipulative potential of algorithmic transparency (to wit, making visible the factors that influence an algorithm’s output). But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the ‘indifference view’ of...

journal article 2023

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Lattice modelling of early-age creep of 3D printed segments with the consideration of stress history

Chang, Z. (author), Liang, M. (author), He, S. (author), Schlangen, E. (author), Šavija, B. (author)

We propose a new numerical method to analyze the early-age creep of 3D printed segments with the consideration of stress history. The integral creep strain evaluation formula is first expressed in a summation form using superposition principle. The experimentally derived creep compliance surface is then employed to calculate the creep strain...

journal article 2023

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Advancing deep learning-based detection of floating litter using a novel open dataset

Jia, T. (author), Vallendar, A.J. (author), de Vries, Rinze (author), Kapelan, Z. (author), Taormina, R. (author)

Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data. To address this challenge, researchers often utilize techniques such as transfer learning (TL) and data augmentation (DA)....

journal article 2023