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Coimbatore Govindarajan, Hemchandran (author)Accelerated tests have been commonly used by the marine coating industry to evaluate the performance of a coating in a short duration of time. Replicating natural exposure in an artifi- cially simulated manner is a challenging task due to the various factors that induce corrosion in the natural environment. Continuous salt spray testing is a...master thesis 2022
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Chen, Qilin (author)Convolutional neural networks (CNNs) are often pruned to achieve faster training and inference speed while also requiring less memory. Nevertheless, during computation, most modern GPUs cannot take advantage of the sparsity automatically, especially on networks with unstructured sparsity. Therefore, many libraries that exploit sparsity, have...bachelor thesis 2022
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Aalbers, Sebastiaan (author)To limit the effects of climate change, it is crucial to motivate contractors and the government to reduce emissions at construction sites in the infrastructure sector. This research is an exploratory study on which barriers slow down and which drivers accelerate the transition towards zero-emission construction sites in the Dutch infrastructure...master thesis 2022
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Lopes, Wilfred (author)With the requirements for CubeSats increasing, a push towards utilizing highperformance equipment has never been greater. Incorporating these equipment in an environment that is cost, space and powerconstrained, is challenging. Simultaneously, highperformance equipment require high pointingaccuracy and lowjitter. This thesis proposes the...master thesis 2021
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Mrahorović, Mirza (author)Deep Neural Network (DNNs) have increased significantly in size over the past decade. Partly due to this, the accuracy of DNNs in image classification and speech recognition tasks has increased as well. This enables a great potential for such models to be applied in real-world applications. However, due to their size, the compute and power...master thesis 2021
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Yönsel, Yüksel (author)There has been an increasing interest in moving computation closer to storage in recent years due to significant improvements in memory technology. FPGAs were proven to be an exciting candidate for accelerating database workloads since they provide an energy-efficient, reconfigurable and high-performance computation platform. Therefore, FPGAs...master thesis 2021
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Mourik, Laurens (author)Environmental and operational challenges associated with an excessive fuel consumption have led to the need for future naval vessels to be less dependent on fossil fuels. The chosen configuration is combined diesel-electric and diesel (CODLAD). However, there is a performance gap regarding the manoeuvrability between the previously implemented...master thesis 2021
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Harlequin, Denzel (author)The overarching aim of this research is to contribute towards a best practice in modelling meso-scale O(10km), medium-term O(5yrs.) morphological features in Tidal & Estuarine environments. Therefore, various modelling aspects and stages are reviewed. The first pillar argues the need for numerical models in the...student report 2021
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den Boer, Hans (author)Recently, interest in the use of deep learning technology for RF applications has increased. However, many of these studies are focused on developing deep learning models for a particular RF application. Therefore this master thesis focuses on the implementation of these kinds of deep learning models by using FPGAs such that these deep learning...master thesis 2021
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de Rooij, Martijn (author)Low latency Convolutional Neural Network (CNN) inference research is gaining more and more momentum for tasks such as speech and image classications. This is because CNNs have the ability to surpass human accuracy in classication of images. For improving the measurement setup of gravitational waves, low latency CNNs inference are researched. The...master thesis 2021
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FLOROS, Theofanis (author)Current high-end medical X-ray intervention devices provide a tremendous amount of high-definition images per second. Combined with the additional inputs from the numerous auxiliary devices, processing and compositing the data in real-time quickly becomes an arduous engineering challenge. Furthermore, the critical nature of this application...master thesis 2021
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Arvanitis, Petros (author)Whisker tracking in rodents is an ongoing research in neuroscience. Neuroscientists have recorded experiments with high-speed cameras in which untrimmed, head-restrained mice are provided with air stimuli. These videos required the development of algorithms to reliably track whisker movement. Recently, a Whisker Tracking System, WhiskEras,...master thesis 2021
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Bastiaanse, Robin (author)A pacemaker runs on a conventional battery that lasts for approximately 6-12 years, after which the pacemaker must be replaced. Converting the heart wall vibrations into electricity through a vibration energy harvester has been considered a promising solution to this problem. However, the complexity of the heart signals on which the energy...master thesis 2021
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Mickers, Youp (author)Gait event detection allows for insight into one’s gait pattern, an invaluable aid in rehabilitation. Current methods often rely on measured acceleration and rarely on position measurements [3]–[6]. In this paper we propose 4 novel gait detection methods based on the position of the Center of Mass (one approach being causal and thus suitable for...master thesis 2020
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Dekker, Quinten (author)Dense 3D modeling based on monocular visual data is a powerful process of gaining spatial 3D understanding from 2D observations. The use of visual data to reconstruct such 3D models is still a challenging topic. To obtain the accurate dimensions, additional metadata is required such as a GPS which is not always available. Besides this, dealing...master thesis 2020
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Hadnagy, A. (author)Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...master thesis 2020
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Verzijl, Matthijs (author)While millions of people world wide suffer from arterial diseases, such as peripheral arterial disease, there are a limited number of methods that can be used to diagnose and track these diseases which are also easy, quick and non-invasive. <br/><br/>This work focuses on what is needed to improve diagnosing and tracking of peripheral arterial...master thesis 2020
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Arens, J.T. (author)Long-term sea level change and its spatial and temporal variability measured with tide gauge stations along the Dutch coast have been studied. This study investigates how time series length and modeling choices influence the adoption of a quadratic over a linear sea level model. We apply linear and quadratic models to corrected tide gauges, for...student report 2020
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Versluis, Niels (author)Elliptic Curve Cryptography (ECC) performance is a major performance bottleneck when serving many VPN clients from a single server on a low-frequency FPGA softcore CPU. Using an area-efficient Elliptic Curve Point (ECP) multiplication accelerator core on the same FGPA, a much higher amount of clients can be served using the same FPGA chip. Using...master thesis 2020
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Klomp, Stefan (author)In order to reduce congestion numbers on the highways, ramp metering can be used. The currently existing ramp metering control strategies are of a macroscopic nature. This means that the average occupancy on the main lane or average flow values on the main lane determine the temporarily fixed cycle times for the traffic light located near the on...master thesis 2020