Searched for: subject%3A%22data%255C-driven%22
(61 - 80 of 247)

Pages

document
Ofe, H.A. (author), Sandberg, Johan (author), Rudmark, Daniel (author), de Reuver, Mark (author)
conference paper 2023
document
Miori, Nicolò (author)
Recent years have seen an increase in studies focusing on data-driven techniques to enhance modelling approaches like the two-equation turbulence models of Reynolds-averaged Navier-Stokes (RANS). Different techniques have been implemented to improve the results from these simulations. In particular, the main focus has been on overcoming the...
master thesis 2022
document
Mokiem, Riaas (author)
Dataset discovery techniques originally required datasets to have the same domain which made them unsuitable to be used on a larger scale. To avoid this requirement, newer techniques use additional information, aside from the datasets being processed, to better understand the data. They might rely on a knowledge base that describes the meaning...
master thesis 2022
document
Meng, Zixi (author)
Leakage is the main source of water loss in water distribution networks (WDNs). Therefore, leak detection and localization technology is a major concern for water utilities to save water and meet the ever-growing water demand. This study presents two methodologies for leak localization in District Metered Areas (DMAs): (1) a model-based method...
master thesis 2022
document
Sarkar, Priya (author)
Mathematical fairness notions introduced in literature aim to make algorithmic decisions fair. However, their usage has been criticized in domains such as recidivism and lending for producing unfair decisions. Questions regarding fairness, which also have an important role in hiring are giving way to concerns about the increasing adoption of...
master thesis 2022
document
FOUSKIDIS, DIMITRIOS (author)
The increased diffusion of Renewable Energy Sources (RES) into energy distribution systems gives rise to a number of issues that the Distribution Network Operators (DNOs) need to face. The dependency of RES on weather, along with their intermittent and non-dispatchable nature, urges us to develop frameworks that can guarantee a stable network,...
master thesis 2022
document
van de Krol, Bart (author)
The most used RANS-model in relation to wind farms, k−epsilon, has significant shortcomings. It over-predicts the eddy viscosity in the near-wake and fails to model the anisotropy of the turbulence quantities. The Sparse Regression of the Turbulence Stress Anisotropy (SpaRTA) method could remedy these shortcomings. This method uses temporally...
master thesis 2022
document
Park, ChangKyu (author)
Studies revolving around data-driven methods have been on a rise in recent years to improve highly modelled methods such as the two-equation turbulence models of Reynolds-averaged Navier-Stokes (RANS). Similarly, such data-driven methods are implemented into partially-averaged Navier-Stokes (PANS). PANS is a young bridging method that fulfils...
master thesis 2022
document
Zhang, Peter (author)
Peer-to-peer trading and energy communities have garnered much attention over the last few years due to the wider spread of distributed energy resources. Much research has been performed on the mechanisms and methodologies behind their implementation and realisation. However, the efficiency and micro-structure of trading in such markets raise...
master thesis 2022
document
Li, W. (author)
Multi-phase metallic materials such as Advanced High-Strength Steels (AHSS) are of great importance in a wide variety of high-tech industries due to their higher strength compared to conventional (mild) forming steels. The higher strength leads to various advantages in weight, safety and environmental friendliness. In order to develop new AHHS...
doctoral thesis 2022
document
Bouman, Susan (author)
Despite advanced communication, monitoring, and control facilities, train operations are still subject to uncertainties that can disturb train services, cause delay to multiple trains, and propagate through the network. One option is to mitigate delay propagation in the timetable design by adding buffer time to the minimum difference between the...
master thesis 2022
document
NTOUPAS, DIMITRIOS (author)
Bioreceptivity is a natural phenomenon that has been observed on building material for many years. Bioreceptivity is when materials are being colonized by one or more species of living organisms without necessarily going under biodeterioration. (Guillitte, 1995) Based on the literature, bioreceptivity depends on three main factors: on climatic...
master thesis 2022
document
BABU, ADITYA (author)
Bio-based composites have been a viable material choice in aerospace, automobile and construction industries over the past few decades. From day-to-day products like spoons and chairs to the construction of rocket parts, bio-based composites find their applications due to their mechanically enhanced, cost-effective and lightweight structures,...
master thesis 2022
document
Boelens, Niels (author)
The goal of this research is to create a design for a method to enable the generation and implementation of evidence-based throughput times in the planning process of the construction industry. The current planning process and the generation and collection of throughput times relies heavily on experience-based information. Generating throughput...
master thesis 2022
document
Hemmes, Jasper (author)
When simulating fluids the industry standard is Reynolds averaged Navier-Stokes (RANS). However, the results for certain flows are inaccurate. The main source of error in popular RANS turbulence models is the Boussinesq approximation, assuming a linear relationship between the Reynolds stress anisotropy and the mean rate of strain. Experiments...
master thesis 2022
document
van der Hulst, Robin (author)
To this date, simulating the dynamics of a fluid remain extremely expensive for most practical design prob- lems. The large range of length and time scales to be resolved makes it especially computationally heavy. In engineering applications, the standard is still the RANS approach for CFD modelling. Most commonly the so- called two-equation...
master thesis 2022
document
Vigner, Geneviève (author)
A wall resolved LES simulation of the Anti-Fairing wing/body junction introduced by Belligoli et al. [6] to reduce interference drag is performed. The LES mesh is composed of 61.7 million cells with a C-fitted grid around the wing . The simulation is performed using the pimple solver of Open- Foam 4 with a time and space varying inlet boundary...
master thesis 2022
document
van Brakel, Evelien (author)
The growing aviation industry asks for innovative solutions to be able to handle the increasing amount of baggage. An example of such an innovative solution is Computer Vision Technology (CVT), which uses cameras to identify bags using data and artificial intelligence. The value of CVT for the baggage handling ecosystem is currently unknown....
master thesis 2022
document
Valchev, Iliya (author), Coraddu, A. (author), Kalikatzarakis, Miltiadis (author), Geertsma, R.D. (author), Oneto, Luca (author)
Monitoring and evaluating the biofouling state and its effects on the vessel's hull and propeller performance is a crucial problem that attracts the attention of both academy and industry. Effective and reliable tools to address this would allow a timely cleaning procedure able to trade off costs, efficiency, and environmental impacts. In...
review 2022
document
Bloemers, Tom (author), Oomen, T.A.E. (author), Toth, Roland (author)
Control of systems with operating condition-dependent dynamics, including control moment gyroscopes (CMGs), often requires operating condition-dependent controllers to achieve high control performance. The aim of this brief is to develop a frequency response data-driven linear parameter-varying (LPV) control design approach for single-input...
journal article 2022
Searched for: subject%3A%22data%255C-driven%22
(61 - 80 of 247)

Pages