Searched for: contributor:"Al-Ars, Zaid (graduation committee)"
(1 - 18 of 18)
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Bălan, Alex (author)
Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a list of results the user has to scroll through, which implies that he is most likely required to refine the need by himself to reach the desired result. In recent years, researchers have...
master thesis 2019
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Joshi, Ninad (author)
Traditional Artificial Neural Networks(ANNs)like CNNs have shown tremendous opportunities in various domains like autonomous cars, disease diagnosis, etc. Proven learning algorithms like backpropagation help ANNs in achieving higher accuracy. But there is a serious challenge with the increasing popularity of traditional ANNs is of energy...
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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Krol, Anneriet (author)
Unitary Decomposition is an algorithm for translating a unitary matrix into many small unitary matrices, which correspond to a circuit that can be executed on a quantum computer. It is implemented in the quantum programming framework of the QCA-group at TU Delft: OpenQL, a library for Python and C++. Unitary Decomposition is a necessary part in...
master thesis 2019
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Suwignyo, Haris (author)
Most wireless communication technologies have been using the Radio Frequency (RF) spectrum for decades. Due to the popularity of the Internet of Things (IoT), the RF spectrum has started to become densely populated. Researchers have begun to explore other bands of the electromagnetic spectrum that can be utilized as a communication media. One of...
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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Hunter, William (author), Moree, Tijs (author)
This report details the design of an instrumentation system to be used on a skeleton sled. The system will measure several quantities on a skeleton track for the athlete to learn from. This data is stored during the run using several sensors on the sled and processed and visualised immediately afterwards on a mobile device. The project is tailor...
bachelor thesis 2019
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Coenen, Joris (author)
One of the challenges of neuromorphic computing is efficiently routing spikes from neurons to their connected synapses. The aim of this thesis is to design a spike-routing architecture for flexible connections on single-chip neuromorphic systems. A model for estimating area, power consumption, memory, spike latency and link utilisation for...
master thesis 2019
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van der Vlag, Michiel (author)
Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons), which makes them impractical for researchers. The goal of the thesis is to explore the use of true multi-GPU acceleration on computationally challenging brain models and to assess the scalability of such models given sufficient access to multi...
master thesis 2019
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Mes, Johan (author)
The Self-Organizing Map (SOM) is an unsupervised neural networktopology that incorporates competitive learning for the classicationof data. In this thesis we investigate the design space of a system incorporating such a topology based on Spiking Neural Networks (SNNs), and apply it to classifying electrocardiogram (ECG) beats. We present novel...
master thesis 2018
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Nadeem, Azqa (author)
Developing malware variants is extremely cheap for attackers because of the availability of various obfuscation tools. These variants can be grouped in malware families, based on information retrieved from their static and dynamic analysis. Dynamic, network-level analysis of malware shows its core behavior since it captures the interaction with...
master thesis 2018
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Geers, Matthijs (author)
The automation of replanting seedlings into bigger trays (transplanting) has been a major industrialisation step in the horticultural sector. Modern machines are abundant in large companies and are quite effective, but they are very expensive both in purchase and maintenance. With major clients taking these costs for granted, designers have not...
master thesis 2018
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Dirks, Jacko (author)
This thesis documents the implementation of atomic instructions for the ρ-VEX (reconfigurable VEX). These instructions enable threads to communicate enabling efficient multithreading. Furthermore, we investigate the possibility to use inter-thread communication to improve performance of static ρ-VEX configurations without significantly...
master thesis 2018
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Sarkar, Aritra (author)
Fast sequencing and analysis of (microorganism, plant or human) genomes will open up new vistas in fields like personalised medication, food yield and epigenetic research. Current state-of-the-art DNA pattern matching techniques use heuristic algorithms on computing clusters of CPUs, GPUs and FPGAs. With genomic data set to eclipse social and...
master thesis 2018
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Kolağasioğlu, Eralp (author)
Cardiovascular diseases are the leading cause of death in the devel- oped world. Preventing these deaths, require long term monitoring and manual inspection of ECG signals, which is a very time consum- ing process. Consequently, a wearable system that can automatically categorize beats is essential.<br/>Neuromorphic machines have been introduced...
master thesis 2018
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Bloom, Rens (author)
The idea of the internet of things (IoT) states that devices with embedded electronics will outnumber the devices operated by humans. All those "things" will require connectivity to exchange information gathered from processed sensor data. A large part of the data will be sent through the air, such that mobile devices can be deployed without a...
master thesis 2017
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Heiss, Jonathan (author)
The growing DNA data volumes that originate from novel efficient DNA sequencing methods expose new challenges to computer systems used to process this genomic data. BigData technologies in the Hadoop environment, in particular Apache Spark and the Hadoop Distributed File System (HDFS), are increasingly adapted in state-of-the-art Bioinformatic...
master thesis 2017
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van Bremen, Lennart (author)
The ρ-VEX is a runtime reconfigurable VLIW processor. It is able to exploit both ILP as well as TLP by running one program in multiple lanes, or several programs concurrently. To accurately quantify its performance compared to other processors, it is implemented as an IC.<br/>A fully automatic scripted flow is described, constructing an...
master thesis 2017
Searched for: contributor:"Al-Ars, Zaid (graduation committee)"
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