Searched for: subject%3A%22FPGA%22
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Rijkeboer, Mats (author)
Highly accurate time sources, such as Cesium-based or GPS clocks, are the best candidates to provide a correct notion of time, but are too costly and impractical for implementation in every modern digital device. Ubiquitously, (crystal) oscillators are employed instead. To maintain a shared notion of time, the offsets and drift/jitter have to be...
master thesis 2023
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de Laat, Willem (author)
The need to receive and process higher data rates in computer clusters is an ever-increasing trend. This also applies to radio-astronomic systems, which have become more distributed over the past decades, increasing data traffic between antennas and processing facilities. At the antenna, Field Programmable Gate Arrays (FPGAs) digitise the radio...
master thesis 2022
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Jiang, Longxing (author)
Convolutional Neural Networks (CNN) have become a popular solution for computer vision problems. However, due to the high data volumes and intensive computation involved in CNNs, deploying CNNs on low-power hardware systems is still challenging.<br/>The power consumption of CNNs can be prohibitive in the most common implementation platforms:...
master thesis 2022
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Garcia Ezquerro, Ignacio (author)
The number of IoT devices and their applications is projected to continue increasing in the future, creating a demand for low-power wireless communications that allow IoT devices to either be connected directly to the internet or to use other devices as a back gate to it. BLE is already one of the most used wireless communication protocols for...
master thesis 2022
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Bakker, Roy (author)
Information exchange through the countless webservices is central in the current age of technology, which increases the importance for security in these developments. One such security feature is the validation of data based on standardized data structures. The aim of this thesis is to develop a flexible hardware-accelerated text-based...
master thesis 2022
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Granneman, Erik (author)
The increasing advancements in quantum computing have led to an increasing danger for the cyberspace. The current cryptographic algorithms that are used to enable secure communication across insecure channels have the potential to be brute-forced by sufficiently powerful quantum computers, endangering the security of many electronic devices and...
master thesis 2022
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Yu, Quanhao (author)
With the replacements of coal and nuclear plants with renewable energy sources such as Type-3 and Type-4 wind turbines and photovoltaic system, the fault current levels of the electrical power system become lower. This leads to a weakened ability of the commercial distance relays to detect fault currents. Therefore, new fault detection...
master thesis 2022
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van Tuijn, Jan (author)
Manufacturers of CubeSats prefer the use of COTS electronic components such as microcontrollers (MCU) and SDRAM but these components are vulnerable to errors caused by radiation. A specific type of error caused by radiation are soft errors which can be corrected by Error Detection and Correction (EDAC) methods. Unfortunately, it is uncommon for...
master thesis 2022
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Dierick, Luc (author)
In recent years, the big data era has produced an increasing volume and complexity of data that requires processing. To analyze and process these large amounts of data, applications are being scaled on large clusters using distributed data processing frameworks. A more recent trend utilizes hardware accelerators to offload computationally...
master thesis 2022
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de Jong, Jan (author)
Functional ultrasound is by now a well-established technique in the neuroscience community to measure brain activity. However, the transcranial application of functional ultrasound on humans, with the exception of the acoustic windows in the skull, remains a huge challenge because of the properties of the cranial bone the acoustic waves will...
master thesis 2022
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Stobbe, Pieter (author)
Currently, encryption is part of daily life, from commercial to industrial applications. Secure, long-distance communication is vital to the safe and reliable operation of industrial feedback control. Utilising public networks as a medium is often cost-effective at the risk of a security breach. Current industrial feedback control systems...
master thesis 2022
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Boerkamp, Christiaan (author)
Neuromodulation of the vagus nerve is used as a treatment for all kinds of ailments and even as a means of improving the wearer's physiology, however, this form of treatment is not popular due to its invasive nature, high chance of side effects, and short period between reimplementation surgery, as such an alternative is sought in the form of...
master thesis 2022
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Kalali, E. (author), van Leuken, T.G.R.M. (author)
DSP blocks are one of the efficient solutions to implement multiply-accumulate (MAC) operations on FPGAs. However, since the DSP blocks have wide multiplier and adder blocks, MAC operations using low bit-length parameters lead to an underutilization. Hence, an efficient approximation technique is introduced. The technique includes...
journal article 2022
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Hogervorst, T.A. (author), Nane, R. (author), Marchiori, Giacomo (author), Qiu, Tong Dong (author), Blatt, Markus (author), Rustad, Alf Birger (author)
Scientific computing is at the core of many High-Performance Computing applications, including computational flow dynamics. Because of the utmost importance to simulate increasingly larger computational models, hardware acceleration is receiving increased attention due to its potential to maximize the performance of scientific computing....
journal article 2022
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Overwater, R.W.J. (author), Babaie, M. (author), Sebastiano, F. (author)
Quantum error correction (QEC) is required in quantum computers to mitigate the effect of errors on physical qubits. When adopting a QEC scheme based on surface codes, error decoding is the most computationally expensive task in the classical electronic back-end. Decoders employing neural networks (NN) are well-suited for this task but their...
journal article 2022
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Chen, Qinyu (author), Gao, C. (author), Fu, Yuxiang (author)
Spiking neural networks (SNNs) are promising alternatives to artificial neural networks (ANNs) since they are more realistic brain-inspired computing models. SNNs have sparse neuron firing over time, i.e., spatiotemporal sparsity; thus, they are helpful in enabling energy-efficient hardware inference. However, exploiting the spatiotemporal...
journal article 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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Molenkamp, Michaël (author)
Many devices currently connect to the internet. Some are pretty well secured, while others lack security due to bugs or other vulnerabilities. A scanner searches for available services on the internet or computer host using standard network protocols. An adversary uses a scanner to search for leaks in security. However, scanners encode their...
master thesis 2021
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SONG, TIANLI (author)
Big data analytics is one of the foundations for booming technologies such as machine learning, genetics/genomics, and computer vision. These big data applications require a large amount of data transfers for distributed and parallel processing. Networking is thus a crucial facilitator and could make big impact on big data processing.<br/><br/...
master thesis 2021
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Verrer, Daan (author)
Modern implementations of encryption algorithms on CPU’s that use frequent memory lookups of precomputed functions, are vulnerable to Cache based Side­Channel Attacks. The ρ­-VEX processor, a runtime reconfigurable VLIW processor developed at the Computer and Quantum Engineering department at the TU Delft was identified to possibly allow for...
master thesis 2021
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