Searched for: mods_note_programme_s%3A%22Computer%255C%2BEngineering%22
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van Wezel, Martijn (author)
Neurons in Spiking Neural Networks (SNNs) communicate through spikes, similarly that neurons in the brain communicate, thus mimicking the brain. The working of SNNs is temporally based, as the spikes are time-dependent. SNNs have the benefit to perform continual classification, and are inherently more low-power than other Artificial Neural...
master thesis 2020
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Vermond, Lukas (author)
In an effort to make DNA sequencing more accessible and affordable, Oxford Nanopore Technologies developed the MinION: A portable cellphone sized DNA sequencing device. Translating the information from this device to a nucleotide sequence is called basecalling, and is done with the aid of artificial neural networks. In this thesis, we accelerate...
master thesis 2020
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Hol, Tijs (author)
Resistive RAM, or RRAM, is one of the emerging non-volatile memory (NVM) technologies, which could be used in the near future to fill the gap in the memory hierarchy between dynamic RAM (DRAM) and Flash, or even completely replace Flash. RRAM operates faster than Flash, but is still non-volatile, which enables it to be used in a dense 3D NVM...
master thesis 2020
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Agba, Obinna (author)
Primary health care facilities are usually the first point of call for patients seeking medical help. However, mis-diagnosis at this stage of the clinical encounter is still quite prevalent. Mis-diagnosis can be potentially harmful to the patient and even when not the case, there is an increased financial cost of arriving at the correct...
master thesis 2020
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van Eijk, Tijmen (author)
The driving and counting electronics for the Superconducting Nanowire Single Photon Detectors (SNSPDs) fabricated and commercialized by Single Quantum (SQ) is currently designed to interface with at most 8 SNSPD channels. Single Quantum is already selling 24 channel systems and the trend is generally towards more channels. In those systems,...
master thesis 2020
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van Leeuwen, Sander (author)
In the recent years the satellite industry has progressed on the subject of optical communication for use in space. With recorded speeds over 5 Gb/s it has shown to be an alternative for radio communication. In the CubeSat market this technology is new, underdeveloped, and could lead to new missions that were not possible before. As such, TNO...
master thesis 2020
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Joosse, Corniël (author)
Absence seizures have a real-life impact on epileptic subjects, as day-to-day tasks can by suddenly interrupted making for dangerous situations. Though a lot of work has been done on seizure detection, to limit the impact on epileptic patients, the true necessity lies in timely prediction of seizures before they manifest. Various attempts have...
master thesis 2020
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Kroes, Mairin (author)
Convolutional Neural Network (CNN) inference has gained a significant amount of traction for performing tasks like speech recognition and image classification. To improve the accuracy with which these tasks can be performed, CNNs are typically designed to be deep, encompassing a large number of neural network layers. As a result, the...
master thesis 2020
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Ament, Tjalling (author)
To optimize the exploitation of oil and gas reservoirs both on- and offshore, Biodentfiy has developed a method to predict prospectivity of hydrocarbons before drilling. This method uses microbiological DNA analysis of shallow soil or seabed samples to detect vertical upward microseepage from hydrocarbon accumulations, which change the...
master thesis 2020
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Tuna, Ozan Dogu (author)
This thesis project achieves designing and comparing two parallel implementations for exhaustive grid search along a large model space to find the optimum mapping model for overlay predictions used in ASML lithography machines. The search algorithm leads to an effectively intractable problem as long as sequential implementation is concerned, but...
master thesis 2019
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Nagarajan, Surya (author)
Many alternative computer architectures that use emerging devices are under investigation to address the challenges current architectures and technologies face. Computation-in-memory (CIM) architectures are one among these alternative that tries to solve these challenges by performing computations in the memory structure as opposed to...
master thesis 2019
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Lyrakis, Alex (author)
The last years there is a wide interest in UAVs which can be attributed to their low cost and wide range of use in recreational, commercial and scientific applications. Despite the large increase in drones, UAV flights are permitted only in secluded areas. In order to be granted access to public areas, it must prove its capacity to sense and...
master thesis 2019
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Kulkarni, Rujuta (author)
The Smith Waterman algorithm is used to perform local alignment on biological sequences by calculating a similarity matrix. This process is computation-intensive. Only the elements along the minor diagonal of the matrix can be calculated in parallel, due to the nature of dependencies present in the algorithm. In the past, CPUs, GPUs and FPGAs...
master thesis 2019
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Morais Tejerina, Alejandro (author)
In recent years, Quantum Computing has gone from theory to a promising reality, leading to quantum chips that in a near future might be able to exceed the computational power of any current supercomputer. For this to happen, there are some problems that must be overcome. For example, in a quantum processor qubits are usually arranged in a 2D...
master thesis 2019
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Yadav, Amitabh (author)
Quantum Computing is an emerging field of technology with the promise that engineered quantum systems can address hard problems such as, problems with exponential compute complexity in Chemistry, Genomics, Optimization and many more applications. Quantum Computer Architecture is an area of research targeted for the NISQ-era quantum computing and...
master thesis 2019
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van Leeuwen, Lars (author)
With the advent of high-bandwidth non-volatile storage devices, the classical assumption that database analytics applications are bottlenecked by CPUs having to wait for slow I/O devices is being flipped around. Instead, CPUs are no longer able to decompress and deserialize the data stored in storage-focused file formats fast enough to keep up...
master thesis 2019
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Noordam, Leon (author)
Modular exponentiation is the basis needed to perform RSA encryption and decryption. Execution of 4096-bit modular exponentiation using an embedded system requires many arithmetic operations. This work aims to improve the performance of modular exponentiation for an existing FPGA platform containing a soft core RISC-V processor. The solution is...
master thesis 2019
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Serrão Morato Moreira, Miguel (author)
The goal of this thesis is the design and development of the QuTech Central Controller, a system conceived to serve as the hardware/software interface of a quantum computer. This system represents an evolution of the QuMA microarchitecture to control a Surface-17 superconducting quantum processor, even though several architectural mechanisms are...
master thesis 2019
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Ntasios, Angelos (author)
The last years, there has been a increasing trend in embedded system and FPGA im-plementations for greater flexibility and also, a rising adaptation of heterogeneous plat-forms. These platforms often include FPGAs and embedded cores side by side.ρ-VEXcore, developed and maintained by the Computer Engineering group of TU Delft, is aVLIW processor...
master thesis 2019
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Cangga Putra, Reynaldi (author)
DTB Multiplexer is a component within an NXP chip called the BAP3. This component provides a testing functionality for the chip. This component is purely combinational, and requires no clock, however this makes the component wiring-costly. This high wiring requirement leads to the area constraint imposed by the wiring demand rather than cell...
master thesis 2019
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