Searched for: subject%3A%22density%22
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Sagar, S. (author), Sluiter, M.H.F. (author), Dey, P. (author)
Rapid developments in the field of hydrogen energy have prompted the need for safe and efficient hydrogen transportation and storage. Steels form the backbone of the current energy infrastructure and thus offer a fast and cost-effective solution. Their excellent mechanical properties are attributed to the underlying microstructure which...
journal article 2024
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Gill, E.K.A. (author), Akos, D. M. (author)
This paper proposes a novel concept of using highly efficient Snapshot Global Navigation Satellite Systems (GNSS) receivers to provide precise position fixes of single or multiple satellites in Low-Earth Orbit (LEO) to improve upper atmospheric modeling and thus contribute to superior space situational awareness (SSA). While tracking of LEO...
journal article 2024
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Zhou, S. (author), Nijhuis, S. (author), Dijkstra, R.J. (author)
In the inevitable high-density urbanization process, existing urban green space (UGS) design approaches are ineffective in creating more green areas and combining multidisciplinary design principles to provide balanced sets of ecosystem services (ESs). This paper proposes a systematic framework for UGS design in the context of high-density urban...
journal article 2024
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Hladczuk, N.A. (author), van den IJssel, J.A.A. (author), Kodikara, T. (author), Siemes, C. (author), Visser, P.N.A.M. (author)
Uncertainties in radiation pressure modelling play a significant role in the thermospheric density and crosswind observations derived from the GRACE-FO accelerometer, especially during low solar activity. Under such conditions, the radiation pressure acceleration matches the magnitude of the aerodynamic acceleration along the track and...
journal article 2024
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Schuttenbeld, Maarten (author)
This thesis investigates the estimation of option-implied probability density functions for inflation using inflation options, focusing not only on the expected value but the whole distribution. The aim is to identify the most effective method for measuring the market expectation of future inflation. The research explores both parametric and non...
master thesis 2023
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Wei, Z. (author)
Photoinduced charge transfer (CT) is a fundamental photophysical process that prevails in nature but also plays a pivotal role in various technological fields. This thesis describes spectroscopic studies on photoinduced CT in donor-bridge-acceptor (DBA) systems and their derivatives. Throughout this work, we employ femtosecond transient...
doctoral thesis 2023
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Ban, Hanyuan (author)
Gaussian process regression (GPR), a potent non-parametric data modeling tool, has gained attention but is hindered by its high com- putational load. State-of-the-art low-rank approximations like struc- tured kernel interpolation (SKI)-based methods offer efficiency, yet lack a strategy for determining the number of grid points, a pivotal factor...
master thesis 2023
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Lee, Michael (author)
Summary<br/><br/>Numerous ancient historical constructions worldwide depend primarily on an extensive array of wooden foundation piles, as they are subject to loading conditions governed by the superstructure above. Wooden foundations transfer loads through a combination of compression and lateral resistance. The inherent strength of wood...
master thesis 2023
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PAN, ZHE-HONG (author)
In recent times, soft matter has gained significant interest among researchers in the fields of biomechanics and biomedicine, especially in areas like soft robotics and biopolymers, due to its remarkable ability to undergo substantial deformations. Soft robotics often requires materials that can flexibly adapt to or mimic the movements of living...
master thesis 2023
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Bron Jacobs, Joachim (author)
A Tomographic Background-Oriented Schlieren (TBOS) technique is developed to aid in the visualization of compressible flows. An experimental setup was devised around a sub-scale rocket nozzle, in which four cameras were set up in a circular configuration with 30° angular spacing in azimuth. Measurements were taken of the overexpanded supersonic...
student report 2023
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Schermerhorn, Rick (author)
In this report we examine the dual space of $\ell^\infty$. If $p \in [1,\infty)$ and $q \in [1,\infty]$ satisfy $\frac{1}{p}+\frac{1}{q}=1$, then one can identify the spaces $\ell^q$ and $(\ell^p)'$ in a natural way via an isometric isomorphism. This identification does not extend to the case $p=\infty$ and $q=1$. We prove that the obvious...
bachelor thesis 2023
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Brunia, Stijn (author)
Increasing runway capacity is a key objective for many airports worldwide, including Schiphol Airport. One of the restricting factors that has become more prevalent throughout the years lies in the task load of the Air Traffic Ground Controllers. To overcome this limiting factor, it becomes essential to mitigate this high task load. This study...
master thesis 2023
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Krantz, Justus (author)
Variable density groundwater models are essential for managing coastal groundwater resources. However, their practical applicability can be questioned due to limited validation opportunities on long timescales associated with the development of fresh-saline distributions. This study addresses this challenge by applying upscaled metamodeling...
master thesis 2023
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Chen, Chao (author)
Given data from an observational study or a randomized experiment, the positivity assumption must hold in order to draw causal relations between the treatment and outcome. However, there is shortage of automatic tools that verify compliance with the positivity assumption. We present tools that uses adaptive and standard kernel density estimation...
bachelor thesis 2023
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Tjong, Jonathan (author)
For causal inference, sufficient overlap is needed. It is possible to use propensity scores with the positivity assumption to ensure overlap is present. However, positivity is not enough to properly identify the region of overlap. For this, propensity scores need to be used in combination with density estimation. This project aims to evaluate...
bachelor thesis 2023
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Popica, Tudor (author)
This research investigates the improvement of Kernel Density Estimation (KDE) comprehension in a university context via visualization-enhanced teaching. The study tackles KDE misconceptions, the efficacy of visual aids, and the role of previous mathematical and machine learning knowledge. Using a mix of literature review, survey, and...
bachelor thesis 2023
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Koster, Daniël (author)
The Netherlands is facing a housing demand of 1 million homes before 2030. Most of these residences are planned to be built in and around existing cities, causing an increase in urban densities with sub-optimal indoor daylighting conditions as a result. Simultaneously, the daylight assessment methodology for buildings in the Netherlands is set...
master thesis 2023
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ANDRIANOS, PAVLOS (author)
This graduation project, having as a starting point the concept of Transit-Oriented Development (TOD), highlights the importance of high-density mixed-use developments around railway stations.<br/>With this goal in mind, the station area of Amsterdam Sloterdijk was selected as a case study location. Sloterdijk is an important node within the...
master thesis 2023
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de Vries, Irene (author)
Polders water canals are sometimes exposed to brackish seepage from the nearby saline sea (salinization). This is a problem because the canal water is used to irrigate crops. A characteristic of water is that less dense (fresh) water floats on top of dense (saline) water. In lakes and oceans, it is common that water layers with various densities...
master thesis 2023
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Tao, Lucy (author)
Vascularisation is a critical factor in large-scale tissue engineering, as it supports the survival of cells in large tissue constructs. In native tissue, a hierarchical vascular network is present where larger vessels transport nutrients and oxygen throughout the body, and smaller capillaries facilitate blood-tissue exchange. In large-scale...
master thesis 2023
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