Searched for: subject%3A%22breaking%22
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Cuadrat-Grzybowski, M. (author), Gill, E.K.A. (author)
Mitigation strategies to eliminate existing space debris, such as with Active Space Debris Removal (ASDR) missions, have become increasingly important. Among the considered ASDR approaches, one involves using a net as a capturing mechanism. A fundamental requirement for any ASDR mission is that the capture process itself should not give rise to...
journal article 2024
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Liu, Yuxuan (author), Eeltink, Debbie (author), van den Bremer, T.S. (author), Adcock, Thomas A.A. (author)
Wave breaking is a complex physical process about which open questions remain. For some applications, it is critical to include breaking effects in phase-resolved envelope-based wave models such as the non-linear Schrödinger. A promising approach is to use machine learning to capture breaking effects. In the present paper we develop the...
journal article 2024
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Cuadrat-Grzybowski, Michal (author)
Mitigation strategies which eliminate existing space debris, such as with Active Space Debris Removal (ASDR) missions, are now more important than ever regarding the ever-growing space debris population problem. One of the considered ASDR approaches uses a net as a capturing strategy. The benefits of such strategy are to allow for a large...
master thesis 2023
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Borg, Jonathan (author)
Double-strand break (DSB) repair is a critical cellular process which repairs breaks in both strands of the DNA double helix. Different repair mechanisms are tasked with repairing such breaks. Predicting deficiencies in repair mechanisms has been widely used for therapeutic purposes, such as targeting cancer cells that have specific DNA repair...
master thesis 2023
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Kormelink, Sylvia (author)
Most people are familiar with play as entertainment in the form of toys and games for children, but the same cannot be said for play as a means to energise for adults. And taking breaks to refresh during work is not something that we are generally good at, as was reflected in the results of various interviews which can be found in this thesis....
master thesis 2023
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Ornago, L. (author)
In this dissertation, we analyse the charge transport of nanoscale molecular junctions in mechanically controllable break junction (MCBJ) experiments. In particular, we focus on the characterization of molecular features going beyond the "single-peak" picture, that is, considering features in the measurements in addition to themost prominent one...
doctoral thesis 2023
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McAllister, M.L. (author), Pizzo, N. (author), Draycott, S. (author), van den Bremer, T.S. (author)
Deep-water surface wave breaking affects the transfer of mass, momentum, energy and heat between the air and sea. Understanding when and how the onset of wave breaking will occur remains a challenge. The mechanisms that form unforced steep waves, i.e. nonlinearity or dispersion, are thought to have a strong influence on the onset of wave...
journal article 2023
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Shi, Rui (author), Wüthrich, D. (author), Chanson, Hubert (author)
Transient motion, turbulence and bubble dynamics make any velocity quantification extremely difficult in unsteady gas–liquid flows. In the present study, novel Eulerian and Lagrangian techniques of velocimetry were developed, using both intrusive and non-intrusive measurements. The selected unsteady gas–liquid flow was a breaking bore,...
journal article 2023
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Shi, Rui (author), Wüthrich, D. (author), Chanson, Hubert (author)
Continuing from the part 1 (Shi et al., 2022) this paper presents an experimental investigation of transient void fraction and bubble statistics in a highly turbulent breaking bore with Fr<sub>1</sub>=2.4. The measurements were conducted using a combination of dual-tip phase-detection probes and an ultra-high-speed video camera. The enclosed...
journal article 2023
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Zhou, C. (author), van Nooijen, R.R.P. (author), Kolechkina, A.G. (author)
The representation of uncertainty in results is an important aspect of statistical techniques in hydrology and climatology. Hypothesis tests and point estimates are not well suited for this purpose. Other statistical tools, such as confidence curves, are better suited to represent uncertainty. Therefore three parametric methods to construct...
journal article 2023
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Keshani, M. (author), Vos, Simcha (author), Proksch, S. (author)
Software reuse is a common practice in modern software engineering to save time and energy while accelerating software delivery. Dependency managers like MAVEN offer a large ecosystem of reusable libraries that build the backbone of software reuse. Breaking changes, i.e., when an update to a library introduces incompatible changes that break...
journal article 2023
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Pavilons, David (author)
The most violent breaking waves cause the largest platform forces at sea, however it is unknown which wave in a sea state leads to these forces if run-up is included. Offshore inspection platforms give access to wind turbine monopiles. They are positioned above mean sea level. Wave interaction with monopiles leading to runup causes vertical...
master thesis 2022
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Hsu, C. (author)
This dissertation presents the experimental work on singlemolecule charge transport, particularly on the aspects of spin and orbital conformational effects in singlemolecule junctions. In this dissertation, we employ and develop various singlemolecule techniques, the mechanically controlled break junction (MCBJ), thermoelectric electromigrated...
doctoral thesis 2022
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Swagemakers, Jesse (author)
Accurately predicting the surface transport in the ocean is crucial for estimating the course of marine pollution, which is considered one of the most pressing environmental issues of the 21st century. In the ocean, floating marine pollution is transported by several mechanisms, including waves. Current models predicting the surface transport...
master thesis 2022
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Vos, Simcha (author)
In this paper, we investigate whether developers of artifacts on Maven Central adhere to semantic versioning. We also investigate whether there is a link between violations in semantic versioning and the popularity of the violating method. Developers can violate semantic versioning by removing or altering methods in their API, which we refer to...
bachelor thesis 2022
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Buitelaar, Maarten (author)
A dam-break wave can result in considerable damages and casualties. Events that can lead to such waves include dike and dam breaches, storm surges and impulse waves. Dutch history is familiar with a number of coastal dike breaches but also river dike breaches have occurred, resulting in dam-break waves reaching far inland. Beyond the Netherlands...
master thesis 2022
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Wang, Te (author), Li, Zongkun (author), Ge, W. (author), Zhang, Yadong (author), Jiao, Yutie (author), Sun, Heqiang (author), Zhang, Hua (author)
Because of the risk transmission and superposition among dams in cascade reservoirs, the analysis and probability calculation of dam risk become more complex compared with a single reservoir. By analyzing the main risk sources and actionmechanisms, the disaster-causing factors, disaster-transmitting body and disaster-bearing body in the cascade...
journal article 2022
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Timmer, Xander (author)
Break bulk terminal operators are constantly in search for improving the performance of their operations. The logistical processes associated with these operations are complex and identifying where improvements have the largest impact on performance therefore is as well. In this paper a combination of system thinking and discrete-event...
master thesis 2022
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Hartgring, Sebastian (author)
During the calibration of SWAN for shallow water lakes in the Netherlands, problems have been encountered. Especially the emergence of an unnatural, secondary peak in the low frequency part of the energy density spectrum poses problems. Therefore, this investigation aims to address the nonlinear shallow water source terms in SWAN that may...
student report 2022
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Zeng, Cheng (author), Huang, Jinsong (author), Wang, H. (author), Xie, Jiawei (author), Huang, Shan (author)
Timely detection and identification of rail breaks are crucial for safety and reliability of railway networks. This paper proposes a new deep learning-based approach using the daily monitoring data from in-service trains. A time-series generative adversarial network (TimeGAN) is employed to mitigate the problem of data imbalance and preserve the...
journal article 2022
Searched for: subject%3A%22breaking%22
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