Searched for: mods_note_programme_s:"Electrical%5C+Engineer%5C+%7C%5C+Embedded%5C+Systems"
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Burgers, Bastiaan (author)
Decreasing injuries in football is a topic of interest for the KNVB and KNHB. To reach this goal, the use of smart sensor pants is researched. The data will be used to develop models for finding injury risk factors that are related to movements. Currently, the system is capable of reading out the IMUs and storing the data on an SD-card, for post...
master thesis 2021
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Bejach, Vincent (author)
Electron spins trapped in quantum dots have recently proven to be a promising technology for the implementation of qubits, already demonstrating high fidelity single- and two-qubits gates. The next step towards fault-tolerant quantum computing is to increase the number of so-called spin qubits on the processor. However, this poses several...
master thesis 2020
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Benders, Dennis (author)
Recent developments in neuroscience research, mainly introduced by neuroscientist Karl J. Friston, have resulted in a concept called the Free Energy Principle (FEP). The FEP is a brain theory unifying action, perception and learning. An important observation is that autonomous robots have to perform similar tasks to the human brain. Therefore,...
master thesis 2020
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Nijhuis, Sjors (author)
As recently emerged network concepts such as Network Function Virtualization (NFV) and Software-Defined Networking (SDN) promise to bring more flexibility to existing networks they also pave the road for the development of a new type of service. These novel services are known as mission-critical services which generally have tight latency and...
master thesis 2020
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Blanco Abad, Teresa (author)
Long Range Wide Area Networks (LoRaWAN) offer easy deployment, robustness against interference, and operational longevity to energy constrained IoTdevices which communicate in a best-e_ort fashion in extended ranges. However, the simple (ALOHA-like) design of the MAC layer leads to packet collisions in dense LoRaWAN deployments with high traffic...
master thesis 2020
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Xie, Yuanhao (author)
The development of artificial intelligence (AI) has made various industries eager to realise and obtain the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques, thereby, however, ignoring an increasing set of practical problems related to AI...
master thesis 2020
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Suresha Konandur, Sharanya (author)
Software maintenance is an essential and time-consuming task during the software development cycle. Readability of test code is a crucial element for performing programming tasks, such as testing, bug fixing and maintaining code. Hence poorly written tests are difficult to maintain and lose their value to developers. In order to overcome this...
master thesis 2020
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Treijtel, Caspar (author)
Real-time systems are bound to timing constraints. These constraints are meant to ensure that the application exhibits predictable behavior by having bounded response times. The worst case execution time (WCET) is an important property of programs, which must be bounded to allow for a response time analysis of tasks. While estimation of the WCET...
master thesis 2020
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van Ofwegen, Nathan (author)
Embeddedreal-time systems that have cost or energy constraints are usually limited inprocessing power and memory. This limitation typically leads to applyingsimpler execution models such as non-preemptive scheduling. A problem with anon-preemptive real-time system is that finding a schedule without causingdeadline misses is...
master thesis 2020
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Arora, Apoorva (author)
In this thesis, we design and assess a multi-slice resource allocation framework that is based on machine learning techniques (subset of artificial intelligence techniques). The proposed framework employs two machine learning techniques namely, artificial neural networks and reinforcement learning for resource management in sliced RAN....
master thesis 2020
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Moyers Barrera, Gerardo (author)
Technology is transforming almost all aspects of our lives, one of them is automation. The main motivation of automation is to help humans avoid performing tedious, high risk jobs. Automated driving, also known as autonomous driving, has been at the center of industrial and academic attention since a few decades now, thanks to its potential of...
master thesis 2020
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Vette, Marek (author)
Ever since its invention in the 1930s, photoplethysmography (PPG) is a wide-spread technique used for health-monitoring. Via illumination of the human skin with a light source and capturing the light, an estimate of important physiological properties such as the heart rate can be made. This is commonly done with dedicated medical equipment, but...
master thesis 2020
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Satis, Kanya (author)
2.5D shape display is a recent idea in the market that emerged as a platform of interaction between a computer and human. 2.5D shape display is essentially a grid-like matrix consisting of actuators and pins moving up and down in vertical motion to create pseudo-3D images. Focused as a visual display in some applications and as a medium of input...
master thesis 2020
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Srinivasan, Srinidhi (author)
For any real-time system, being predictable with respect to time is a basic necessity. The combination of a preemptive execution model and a multiprocessor platform poses a challenge when analysing the predictability of a system. In this thesis, we present a new type of framework for the worst-case response time analysis for preemptive tasks...
master thesis 2020
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Nikolov, Teodor (author)
As CMOS scaling approaches the atomic feature size limit which results in a high power density and current leakage, low reliability and increased time and production cost, the need for new materials and devices is increasing. One of the promising materials to replace silicon based devices is graphene nano-ribbons (GNRs) due to its remarkable...
master thesis 2020
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Jakka, Naveen (author)
Platooning is an application of autonomous driving in which the vehicles travel linearly following each other. The benefits of such driving are many-fold, primarily it increases the traffic throughput and also reduces fuel consumption as the result of minimized drag experienced by the vehicles. The state-of-the-art technologies to achieve...
master thesis 2020
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Agarwal, Kaustubh (author)
The accelerating growth of the Internet of Things (IoT) has led to the development of many technologies for homes like a wireless lighting system. Unlike traditional lighting systems, these can be operated remotely using mobile devices and even with the help of a smart assistant, such as Amazon Alexa or Google Assistant. Zigbee is used as the...
master thesis 2020
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Garcia Fernandez, María (author)
During the whole history of Computer Science as we know it, the end goal has been to solve problems faster and more efficiently than us humans. Computers came to be to perform repetitive tasks we do not want to or do not have time to perform ourselves. At some of them, such as simple mathematical calculations, they were and they are indeed...
master thesis 2020
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Aguwamba, C.B. (author)
5G as a future network is expected to be commercially deployed in 2020 and beyond. At the present time facilitated by industry need, the deployment option is to introduce 5G base stations alongside the existing 4G base stations in order to expedite 5G deployment. This deployment option is what presently is referred to as the Non-Standalone...
master thesis 2020
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Marcè i Igual, Joan (author)
Gang scheduling, has long been adopted by the high-performance computing community as a way to reduce the synchronization overhead between related threads. Gang schedulling allows for several threads to execute in lock steps without suffering from long busy-wait periods or be penalised by large context-switch overheads. If several threads use...
master thesis 2020
Searched for: mods_note_programme_s:"Electrical%5C+Engineer%5C+%7C%5C+Embedded%5C+Systems"
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