Searched for: contributor%3A%22Al-Ars%2C+Z.+%28graduation+committee%29%22
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Fiorini, Federico (author)
The ever-increasing amount of data being generated worldwide, combined with the business advantages for companies in quickly and efficiently processing such data, have accelerated the research and development into big data analytics. Existing solutions for storing and computing data can no longer give the required processing performance, and...
master thesis 2021
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Kleijweg, Zep (author)
The recently introduced posit number system was designed as a replacement for IEEE 754 floating point, to alleviate some of its shortcomings. As the number distribution of posits is similar to the data distributions in deep neural networks (DNNs), posits offer a good alternative to fixed point numbers in DNNs: using posits can result in high...
master thesis 2021
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Preetha Vijayan, Preetha (author)
In the recent past, real-time video processing using state-of-the-art deep neural networks (DNN) has achieved human-like accuracy but at the cost of high energy consumption, making them infeasible for edge device deployment. The energy consumed by running DNNs on hardware accelerators is dominated by the number of memory read/writes and...
master thesis 2021
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Wervers, Michel (author)
As more and more devices have become wireless, the traditional Radio Frequency (RF) spectrum has become densely populated. To relieve this pressure,<br/>communication using light, visible light communication (VLC), has been proposed by many researchers. However, not all light sources can be modulated<br/>to transmit information. Therefore, the...
master thesis 2021
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Prozée, Randy (author)
The development of the Spiking Neural Network (SNN) offers great potential in combination with new types of event-based sensors, by exploiting the embedded temporal information. When combined with dedicated neuromorphic hardware it enables ultra-low power solutions and local on-chip learning. This work implements and presents a viable...
master thesis 2021
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Meyer, Johann (author)
Aircraft are complex systems with, in some cases, high-dimensional nonlinear interactions between control surfaces. When a failure occurs, adaptive flight control methods can be utilised to stabilise and make the aircraft controllable. Adaptive flight control methods, however, require accurate aerodynamic models - where first-order continuity is...
master thesis 2021
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Mattei, Vieri (author)
Modified Newtonian Dynamics (MOND) can account for a variety of phenomena on galactic scales without the need for dark matter, but it cannot fully explain the mass contained in galaxy clusters. We explore two possible solutions to this problem: relativistic extensions of MOND, and FEM simulations of the apparent matter distribution in clusters,...
master thesis 2020
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Willemsen, Maurice (author)
We consider a system of IoT nodes powered completely by energy harvesting.This work focuses on achieving the time correlation of data measurements ina network of energy harvesting sensor nodes. Time correlation is achieved byhopping a message through the whole network. This message wakes up all thenodes and lets them perform a measurement....
master thesis 2020
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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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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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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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