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Latooij, Sean (author)
Jack-ups are used for offshore wind turbine installation (OWTI). To assess whether a jack-up can safely operate in a desired geographic location with known seismic activity, an earthquake response analysis is required for structural verification. This analysis is generally carried out according to the codes of the International Organization for...
master thesis 2023
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Warringa, Bob (author)
Modern manufacturing operations rely on accurate, real time data for efficient operation and control of the production process. Many small and medium sized enterprises (SMEs) still operate with legacy assets, limiting their access to a clear data picture. This thesis research and its design solutions help SMEs gain real time insights into their...
master thesis 2023
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Mazza, F. (author)
The present dissertation covers the development of ultrabroadband femtosecond/picosecond coherent Raman spectroscopy (CRS) to measure temperature and species concentrations in gas-phase chemically reacting flows.<br/>Since its first demonstration in 1965, CRS has been vastly employed as a non-linear optical spectroscopic technique to quantify...
doctoral thesis 2023
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van IJsseldijk, J.E. (author)
Monitoring time-lapse changes inside the subsurface is of great significance to many geotechnical applications, such as storage of gasses in underground geological formations. Minute differences in the seismic wavefield between an initial baseline and a subsequent monitor survey have to be detected in order to observe fluid flow inside...
doctoral thesis 2023
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Lock, Niels (author)
To utilize electronic power converters for water electrolysis in industrial electrical networks, reliable testing methods are required to ensure safe control operation as malfunctions can instigate hydrogen explosion and fierce electrical hazards. In this thesis, Digital Twin modeling via OPAL-RT software and hardware is compared to Simulink and...
master thesis 2023
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van Hooff, Owen (author)
The electrical power system is a critical infrastructure that provides a reliable energy supply for daily businesses. Designing resilient and reliable power grids is of paramount importance to prevent blackouts and their adverse economic impact on society.<br/><br/>Resiliency is fundamentally defined as the ability of a system to respond to high...
master thesis 2023
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Nakos, Vangelis (author)
Portfolio optimization, a fundamental area of study in financial engineering,<br/>plays a crucial role in creating efficient portfolios. In this thesis, we consider<br/>a robust multi-period Mean-Variance portfolio optimization framework and<br/>apply it to real-world market data. The approach we look at incorporates a<br/>time-consistent...
master thesis 2023
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Karatza, Dimitra (author)
The current trend towards the integration of artificial intelligence (AI) and graphics processing unit (GPU) technologies has resulted in the development of embedded hybrid GPU-AI accelerators, which offer high computational power and energy efficiency. One of the key challenges in designing such accelerators is ensuring their timing correctness...
master thesis 2023
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Sturkenboom, F.J.J.M. (author)
For a long time Wright’s architecture has been theorized in terms of space. Although space was certainly a key-word in Wright’s discourse, we can neither see it as an objective, three-dimensional space, nor as a more subjective, intimate space. In Wright’s architecture, the third dimension implies time, an axis mundi, a story about the earth as...
doctoral thesis 2023
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Six, Kobi (author)
The aviation industry's reliance on automation raises concerns about pilot complacency, necessitating continuous pilot proficiency measures. To that end, real-time pilot skill feedback is vital—through alerts on declining skill levels or scalable levels of autonomy. Current cybernetic methods are limited as they assume linearity and time...
master thesis 2023
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Mendoza Silva, Santiago (author)
Bacterial identification is crucial for addressing infectious diseases and enabling effective treatment strategies. Conventional bacteria identification methods like MALDI-TOF, while efficient, lack the capability for screening the effectiveness of antibiotics. On the other hand, existing antimicrobial resistance (AMR) tests, despite being...
master thesis 2023
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Li, Nan (author)
Cerebral oxygen saturation is an important indicator that reflects the oxygen metabolism of the brain tissues in such patients. The utilization of near-infrared spectroscopy (NIRS) enables the identification of the oxygen saturation levels in nearby tissues by analyzing the distinct oxygenation states of hemoglobin-oxyhemoglobin (HbO2) and the...
master thesis 2023
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Looman, Menno (author)
Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...
master thesis 2023
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Marramiero, Daniela (author)
Considering the goals set by the international community, the implementation of new energy sources has to increase considerably in the next seven years. In this thesis, the focus is on the acceleration and improvement of the application of offshore wind turbines. The power produced using this technology should become 3.6 times more before the...
master thesis 2023
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Schaper, Jelle (author)
Concrete is widely used in civil engineering and despite its long history, accurate prediction of the hardening process, particularly in partially restrained conditions, remains a challenge. During the hardening of partially restrained concrete, residual stresses occur due to restrained deformations caused by factors such as heating/cooling and...
master thesis 2023
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Shankar, Aditya (author)
Vertical federated learning’s (VFL) immense potential for time series forecasting in industrial applications such as predictive maintenance and machine control remains untapped. Critical challenges to be addressed in the manufacturing industry include small and noisy datasets, model explainability, and stringent privacy requirements for training...
master thesis 2023
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Speksnijder, Robert (author)
Quantum random walks are the quantum analogs of classical random walks and appear to be promising tools to design fast quantum algorithms. Therefore it is important to study their time-related features and see how these differ compared to the classical case. For the discrete-time quantum walk on the line it has been shown that the probability to...
bachelor thesis 2023
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Liu, Qingxin (author)
Most injuries in football occur in the lower extremities due to high muscle stress. To prevent such injuries, the Dutch Football Association (KNVB) and the Delft University of Technology developed the Smart Sensor Shorts, an inertial sensor-based tracking system measuring the athlete’s lower body kinematics, to improve physical load estimates...
master thesis 2023
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Hoonhout, Douwe (author)
Video temporal action localization is the task of identifying and localizing specific actions or activities within a video stream. Instead of only classifying which actions occur in the video stream, we aim to detect when an action begins and ends. In this work, we focus on solving this task without any supervision. Existing unsupervised methods...
master thesis 2023
document
Kielhöfer, Marius (author)
The ability to accurately forecast sales volumes holds substantial significance for businesses. Current classical models struggle in capturing the impact of different variables upon the sales volume. These machine learning models are also not applicable to more than one specific product. The Temporal Fusion Transformer (TFT) is implemented to...
bachelor thesis 2023
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