Searched for: mods_note_programme_s%3A%22Electrical%255C+Engineering%22
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Neagu, Alex (author)
As the power system grows more complex and active, equivalent models have become a solution for modelling parts of the network that have limited observability or are confidential or too complex to simulate otherwise. In the past decade, this topic has also made its way to distribution networks because of its transition towards an active network,...
master thesis 2024
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Gahar, Widesh (author)
This study presents an AlN-based Lamb wave (A0 mode) liquid sensing device designed for biomedical applications. The Lamb wave device features a 1.5 μm composite membrane consisting of a 500 nm LPCVD SiN and a 1 μm of a c-axis oriented AlN film. Additionally, an innovative 45° rotated IDT design was explored to minimize edge reflections towards...
master thesis 2024
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Bas, Ivor (author)
The escalating demand for higher data rates in modern communication networks are pushing more transmitters and receivers to use a modulation technique with more spectral efficiency, like pulse amplitude modulation 4-level (PAM-4).<br/><br/>On the receiver side, phase detection for PAM-4 has proven to be difficult with most receivers using phase...
master thesis 2024
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Kerkhof, Franck (author)
The demand for computational resources is increasing exponentially due to an increasing amount of digital services. Cloud computing is becoming the standard for enterprises to provide these resources. This resulted in hyperscalers which consist of a large number of servers. Data centers consume more than 1% of the world’s electrical energy....
master thesis 2024
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Tadolini, Cesare (author)
The analysis of integrated front ends operated in the high-frequency regimes is addressed in this work. The analysis of these problems has been a critical bottleneck for decades due to the difficulties arising in adopting full-wave techniques. Assuming, as typical at lower frequencies, that the structures are planar leads to the inaccurate...
master thesis 2024
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Hueber, Paul (author)
Designing processors for implantable closed-loop neuromodulation systems presents a formidable challenge owing to the constrained operational environment, which requires low latency and high energy efficacy. Previous benchmarks have provided limited insights into power consumption and latency. However, this study introduces algorithmic metrics...
master thesis 2024
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Wang, Zipeng (author)
Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central...
master thesis 2024
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Bouma, Eline (author), Damoiseaux, Luke (author), Groeneveld, Jorik (author)
The increase in non-linear loads of modern electronics raises concerns over power quality. Additionally, existing power-quality analyzers are expensive and not intended for household use. This thesis aims to develop a single-phase, user-friendly power-quality analyzer using a Raspberry Pi 4 Model B with an emphasis on low cost and class S...
bachelor thesis 2024
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Yildiz, Hüsna (author), de Vries, Marten (author), Öztürkoglu, Emirhan (author)
This thesis describes the design of a low-cost class-S power quality analyzer based on a Raspberry Pi 4. Capable of detecting power frequency, magnitude, voltage dips and swells, harmonics, and total harmonic distortion, the project consists of four main components: the communication protocol, the interface, the algorithms for power quality...
bachelor thesis 2024
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Fu, Peng (author)
Keyword spotting (KWS) is an essential component of voice recognition services on smart devices. Its always-on characteristic requires high accuracy and real-time response. Also, low power consumption is another key demand for KWS devices. In previous research, neural networks have become popular for KWS tasks for their accuracy compared to...
master thesis 2024
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Fakkel, Stein (author)
Classical computer have difficulties simulating specific complex problems, therefore other computation options are being explored. One of these options is the quantum computer, which is expected to excel in various industries. The challenge for the quantum computer is scaling it up to a high number of qubits. The diamond-based quantum computer...
master thesis 2023
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LIN, Jinhuang (author)
Recent trends in machine learning (ML) have placed a strong emphasis on power- and resource-efficient neural networks, as well as the development of neural networks on edge devices. Spiking neural net-works (SNNs), due to their event-based nature, are one of the most promising types of neural networks for low-power applications. To accelerate...
master thesis 2023
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Hubers, Martijn (author)
The small and lightweight Lunar Zebro rover must survive in the harsh lunar environment for several Earth days following its moon landing. The mission of the rover is to map the radiation environment on the moon. The success of the entire mission depends on the Power Electronic System (PES), which supplies power to all subsystems and charges the...
master thesis 2023
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Jian, Yuhang (author)
Voice activity detection (VAD) is the prevailing approach to extracting meaningful speech information from the pervasive noise found in the physical environment. Presently, deep neural networks (DNN) are widely employed as the classifier component in Voice Activity Detection (VAD) systems. However, conventional deep neural networks, like fully...
master thesis 2023
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Maćkowiak, Pawel (author)
The inability to check how our Internet traffic is being handled and routed poses all kinds of security and privacy risks. Yet, for the typical end-user, the Internet indeed is such a black box. This thesis, adheres to the call for an Internet that is more transparent, and as a step forward proposes a mechanism that carefully balances the desire...
master thesis 2023
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van Osch, Millen (author)
Joint attention is the shared focus multiple people can have on the same object and it is subconsciously used by humans every day. The simple act of verbally or non-verbally pointing out an object to one another, is a form of joint attention. Its use facilitates human cooperation, such as when someone needs to hand over an object to another...
master thesis 2023
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Meyer, Johan (author)
Prostate cancer is the most prevalent form of cancer among men, increasing in annual prevalence. Often, the disease progression is less intrusive then treatment. Sensitive and low-intrusive diagnosis methods exist but these are not specific. Causing the need for biopsy, an intrusive and high risk for complication procedure. <br/><br/>This thesis...
master thesis 2023
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Zhang, Mingshuang (author)
Class D amplifiers (CDA) have been used considerably in audio applications due to their high-efficiency behavior. Compared to standalone analog input CDAs, digital input CDAs are less sensitive to electromagnetic interference (EMI), which is preferred in automotive applications. For digital input CDAs, multi-bit current-steering DACs using tri...
master thesis 2023
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Hadjigeorgiou, Georgios (author)
This thesis research focuses on MRI technology and more specifically the evaluation of the generalized signal model (full-wave signal). The research aims to investigate how dielectric properties influence the magnetic fields in MRI scans, by using a more complex signal model that takes into account scattered fields caused by dielectric...
master thesis 2023
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Alers, Tim (author)
The visibility graph has gained traction as a method for time series analysis. Through this method, it is possible to detect or quantify non-linear behavior in a myriad of fields and applications. This thesis explores the variations of visibility graphs, describes how they are used in literature and investigates what lies at the foundation of...
master thesis 2023
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