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Kylili, Christina (author)
Online advanced media streaming services using HTTP adaptive stream-<br/>ing are increasingly popular. However in practice, the multi-protocol, multi-<br/>format nature of adaptive streaming creates a lot of engineering eort and<br/>costs for the operators, in the storage and preparation of the dierent<br/>formats. In this work, we acknowledge...
master thesis 2018
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Bissett, David (author)
The IoT contains billions of interconnected devices and is only growing larger by the day. These devices often need to operate for years while keeping mobile objects, such as animals or vehicles, connected to a larger system. Therefore they will be battery-powered, energy efficient and, their position will be tracked. Therefore, connecting these...
master thesis 2018
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Haridas, Anand (author)
For the Internet of Things (IoT) applications that send a few bytes of sensor information infrequently, several long-range IoT technologies have been conceived. Narrowband IoT (NB-IoT) is one of them that stands out due to its extended coverage, high penetrability, and high reliability features. Envisaged<br/>long device lifetime and the...
master thesis 2018
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Koeten, Vincent (author)
Current hospital protocols dictate patients be turned at least every three hours in the effort of preventing pressure ulcers. To reduce the workload of nurses, Momo Medical has created an embedded sensing device to track the patient's posture and notify nurses when it is time to turn them. The challenge presented and the focus of this thesis is...
master thesis 2018
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de Swart, Eveline (author)
It is predicted that in about 100 years most of the earth's fossil fuels will have been depleted. Currently, fossil fuels still make up 80% of the Dutch energy production. Thus, to handle this depletion, the research on renewable energy production and its usage is being stimulated by governments. With the use of fossil fuel energy production, it...
master thesis 2019
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Jiang, Kun (author)
Open-domain question answering (QA) is an important step in Artificial Intelligence and its ultimate goal is to build a QA system that can answer any question posed by humans. The majority of the open-domain QA system is the retrieval-based open-domain QA system, which enables the retrieval component to retrieve relevant documents from a large...
master thesis 2019
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Nguyen, Tuan Anh (author)
Billions of wireless devices are interconnected to provide services to many<br/>aspects of life and form The Internet of Things. These devices which are<br/>often battery-powered and energy efficient can benefit greatly from an ac-<br/>curate localisation service that does not consume extra energy. Several loc-<br/>alisation methods have been...
master thesis 2019
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Blokland, Boris (author)
The Internet of Things is a promising vision which enables trillions of sensor devices to be connected. A common bottleneck for such devices is the energy supply. Using batteries is expensive, it reduces the device lifetime and has a negative impact on the environment. Energy harvesting provides a more sustainable solution. Unfortunately,...
master thesis 2019
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Bekker, Bernard (author)
Large cities in the Netherlands, like Rotterdam, have hundreds of playgrounds, but local governments have little information on how children and adults use them. Usage data can help create playgrounds that better fit with the residents' needs by identifying what elements of a playground are the most popular, and which do not get used. The AMS...
master thesis 2020
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Eigbe, Eghonghon (author)
While multiprocessor platforms have been widely adopted by the embedded systems industry in the past couple of years, there are still fundamental challenges about their timing predictability for applications with real-time timing constraints. The common-off-the-shelf (COTS) multiprocessor platforms typically use complex hardware components,...
master thesis 2020
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Vădineanu, Serban (author)
With the growth in the complexity of real-time embedded systems, there is an increasing need for tools and techniques to understand and compare the observed runtime behavior of a system with the expected one. Since many realtime applications require periodic interactions with the environment, one of the fundamental problems in guaranteeing...
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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Steenbergen, Merel (author)
Self-sovereign identity (SSI) provides users of the internet control over their own data by letting them store it on their own device or in a decentralized way, such as on a blockchain. The Super App is an SSI application currently under development by the Delft Blockchain Lab, but it still lacks one of the core features of SSI, which is...
bachelor thesis 2021
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Duijsens, Remy (author)
Digital identity management has been established in a mainly centralized manner. In response to a lack of control in current identity management systems, the concept of Self-Sovereign Identity (SSI) was defined to enable decentralization. Recently, this concept gained traction, and several implementations have been proposed. The decentralized...
bachelor thesis 2021
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Kroon, Harmen (author)
Decentralized Finance (DeFi) is build on smart-contract supporting blockchains, with Ethereum being the largest ecosystem. A collection of smart-contracts aims to serve as decentralized implementations of financial systems. The philosophy of DeFi dictates automation and desintermediation through exploiting nascent distributed ledger technology...
bachelor thesis 2021
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Kostadinov, Kalin (author)
Self-Sovereign Identities provide a solution to the identity crisis as their goal is bringing back control over identities to their owners. Nonetheless, currently deployed SSI managers lack data resilience. Consequently, one's identity is lost if the device holding it becomes inaccessible. We achieve data resilience through identity backups....
bachelor thesis 2021
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Marinov, Atanas (author)
Multi-label learning is one of the hot problems in the field of machine learning. The deep neural networks used to solve it could be quite complex and have a huge capacity. This enormous capacity, however, could also be a negative, as they tend to eventually overfit the undesirable features of the data. One such feature presented in the real...
bachelor thesis 2021
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Basting, Mark (author)
Multi-label learning is becoming more and moreimportant as real-world data often contains multi-ple labels. The dataset used for learning such aclassifier is of great importance. Acquiring a cor-rectly labelled dataset is however a difficult task.Active learning is a method which can, given anoisy dataset, identify important instances for...
bachelor thesis 2021
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Rozen, Jonathan (author)
Multi-label classification has gained a lot of attraction in the field of computer vision over the past couple of years. Here, each instance belongs to multiple class labels simultaneously. There are numerous methods for Multi-label classification, however all of them make the assumption that either the training images are completely labelled or...
bachelor thesis 2021
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Pene, Cosmin (author)
Multi-label learning is an emerging extension of the multi-class classification where an image contains multiple labels. Not only acquiring a clean and fully labeled dataset in multi-label learning is extremely expensive, but also many of the actual labels are corrupted or missing due to the automated or non-expert annotation techniques. Noisy...
bachelor thesis 2021
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