Searched for: contributor%3A%22Rellermeyer%2C+Jan+S.+%28graduation+committee%29%22
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Zamfirescu, Toma (author)
Label-independent concept drift detectors represent an emerging topic in machine learning research, especially in models deployed in a production environment where obtaining labels can become increasingly difficult and costly. Concept drift refers to unforeseeable changes in the distribution of data streams, which directly impact the performance...
bachelor thesis 2023
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Biswal, Soovam (author)
Introduction of new, more advanced services to the networking paradigm has led to an increased heterogeneity of media types and network traffic. Although several transport protocols have been developed over the years to cater to the Quality-of-Service requirements of these network services, the dynamic nature of the network condition is a...
master thesis 2021
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Verheijde, Jim (author)
At the moment we are witnessing the maturation of distributed streaming dataflow systems whose use-cases have departed from the mere analysis of streaming windows and complex-event processing, as they now extend to cloud applications, workflows and even e-commerce. The state of streaming operators has been so far hidden from external...
master thesis 2021
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Crielaard, Bram (author)
This thesis introduces the FrameVM virtual machine and the Framed language. This language gives developers a target to compile to which concisely follows the scopes-as-frames model. This model allows language developers to derive the memory model based on the scope graphs. The core building blocks of Framed are frames, which contain all data...
master thesis 2021
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Patil, Pradyot (author)
Building predictive models using cloud metrics for a task like incident prediction in the cloud is becoming ubiquitous in cloud monitoring. For such a forecasting task, if we know beforehand which system metrics are predictable then we can easily build good models. Quantifying the predictability of cloud metrics can help us rank the available...
master thesis 2021
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de Rooij, Martijn (author)
Low latency Convolutional Neural Network (CNN) inference research is gaining more and more momentum for tasks such as speech and image classications. This is because CNNs have the ability to surpass human accuracy in classication of images. For improving the measurement setup of gravitational waves, low latency CNNs inference are researched. The...
master thesis 2021
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Dumont, Joep (author)
With the increase of available storage bandwidth, CPUs can not keep up with the compute throughput needed to process this amount of incoming data. GPUs and FPGAs are generally better suited for such tasks. To assist FPGAs in their functions, some boards are equipped with one or more high bandwidth memory (HBM) stacks, with a bandwidth of 230 GB...
master thesis 2021
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Smith, Thomas (author)
Stream processing has taken a prominent position in the software engineering industry. Many applications, from a small to large scale, embrace this paradigm to deal with the difficulties of responding to events that happen asynchronously: programmers define "operators" that perform small, independent tasks on individual events. These operators...
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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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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Spaargaren, Wim (author)
Systematic literature reviews in software engineering as well as other disciplines, serve as the foundation for sound scientific research. The aim for these literature reviews is to aggregate all existing knowledge on a research problem and produce informed guidelines for practitioners. This enables practitioners to apply appropriate software...
master thesis 2020
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López Cañizares, Janko (author)
Recently, there is a growing need to address the investment gap in renewable energy by attracting non-institutional investors that have investment preferences better suited for the energy transition. Crowdfinancing is a promising alternative, as it allows for increased innovation, more sustainable development and reduced community risks and is...
master thesis 2020
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Olsthoorn, Mitchell (author)
For decades the idea of re-usable software has been seen as the holy grail of software development. But up until recently, there was more discussion about software re-use than actual software re-use. Even though most software uses the same blocks of code over and over again, almost all software is built from the ground up. Today, this situation...
master thesis 2020
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Tavakkoli, Maryam (author)
With the increased availability and affordability of miniature computing devices,<br/>such as sensors, the era of Internet of Things (IoT) has arrived. Meanwhile, the developments of the cellular mobile technologies and emerge of 5G accelerated the adoption of IoT scenarios within mobile networks. Rapid growth in the number of IoT devices has...
master thesis 2019
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Wijtemans, Lars (author)
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...
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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Meijer, Steven (author), Haveman, Yannick (author)
In this paper, we will explain how our research into a classified field resulted in the creation of an entity recognizer that can recognize 10 different characteristics, and an intent classifier which is able to classify 21 different intents and automatically generate a response to incoming emails. This is all done within legal and ethical...
bachelor thesis 2019
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Rijnders, Bart (author)
The performance of gun and rocket propellants, which consist of energetic materials, is largely determined by their geometry and composition. Con- ventional production methods limit the performance by putting constraints on both. With additive manufacturing, or 3D-printing, there are signi- cantly fewer geometry constraints and together with the...
master thesis 2019
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van den Bercken, Laurens (author)
Health literacy, i.e. the ability to read and understand medical text, is a relevant component of public health. Unfortunately, many medical texts are hard to grasp by the general population as they are targeted at highly-skilled health professionals and use complex language and domain-specific terms. Here, automatic text simplification making...
master thesis 2019
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Verhaert, Danilo (author)
Tock is an embedded operating system that can run multiple concurrent, mutually distrustful processes, concurrently. Tock is written in Rust, a novel system programming language enforcing type safety at compile-time, and takes advantage of Rust's strong safety features. However, since Tock allows user-level applications to be written in any...
master thesis 2018
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