Climate resilience of railway stations in The Netherlands: A risk assessment for passenger stations

As climate change takes hold, extreme weather events increasingly pressure the performance of the railway infrastructure. A first insight has been obtained into the impacts of climate change for the train system and the railway network, but there are almost no studies on the impact of our changing climate on railway stations. This study...

Word recognition in a model of visually grounded speech: An analysis using techniques inspired by human speech processing research

A Visually Grounded Speech model is a neural model which is trained to embed image caption pairs closely together in a common embedding space. As a result, such a model can retrieve semantically related images given a speech caption and vice versa. The purpose of this research is to investigate whether and how a Visually Grounded Speech model...

(Anti-)Social Stockholm: Understanding interrelations of socio-spatial segregation

Under the influence of globalisation and neoliberal planning paradigms, socio-spatial segregation in Stockholm, Sweden has significantly risen. Its society has become more heterogeneous, with migrants often ending up in socially vulnerable suburbs in the periphery of metropolitan areas where a spiral of social exclusion and decline is...

Generating Teacher Feedback through Parsons Problems

As computer science lies at the heart of almost all technological progress, widespread computer science education, and particularly programming education, is of great importance. In order to reach a large group of students, secondary schools can play an important role. However, students have difficulty learning programming concepts. Programming...

Agricultural technology adoption by rural farmers in Malawi: A case study of a Small Enterprise in Malawi

The implementation of new agricultural technologies is considered a key component of Malawi’s agricul- tural development strategy. However, successful technology adoption has proven to be difficult, affecting both farmers and small businesses introducing the technology. With a primary focus on farmers interested in adopting the technology,...

Deep Reinforcement Learning with Feedback-based Exploration

Deep Reinforcement Learning enables us to control increasingly complex and high-dimensional problems. Modelling and control design is longer required, which paves the way to numerous in- novations, such as optimal control of evermore sophisticated robotic systems, fast and efficient scheduling and logistics, effective personal drug dosing...

A Variable Stability In-Flight Simulation System using Incremental Non-Linear Dynamic Inversion

Broadband absorption using coupled quarter wavelength tubes

Acoustics have a significant impact on the usability of a space and is often overlooked during the design phase: problems are often discovered when a space is already taken into use. The indoor acoustic climate can be influenced by adding absorption material, however traditional materials do not offer precise solutions but have a more generic...

A Practical Application of Topology Optimization for Heat Transfer and Fluid Dynamics

Topology optimization is widely used within the academic environment. It is however not yet a standard design tool within the commercial industry. My research aims to shorten this gap by applying a topology optimization for an industrial design load. The design load is from a Printed Circuit Assembly (PCA) that requires active cooling in order...

Towards Circular Thinking: circular and evolutionary redesign in architecture

Crowdfunding Platform for Events

The Health Factory

The Health Factory is a health complex with sports facilities, healthy food options and a medical center that focusses on serving workers in the neighborhood. More than a third of all U.S. residents are obese, and this number has been increasing over the past three decades. Americans eat unhealthy and do not get enough exercise. Although there...

Performance of a KID: On the influence of the resonator geometry on the noise and Q-factor of a kinetic inductance detector

Space-based astronomy is in need of a photon-noise limited detector with multiplexing opportunities. The kinetic inductance detector (KID) is capable of both properties. An incoming photon breaks Cooper pairs in the superconducting layer of the KID, which leads to a change in inductance, which can be detected with phase- and amplitude read-out....

Optimale importance sampling in Markovketens: Efficiënte simulatie zeldzame gebeurtenissen

Toepassing importance sampling op credit risk probleem met onafhankelijke schuldenaren.

Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter

Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of a traffic prediction tool in a road traffic management center are analysed, and a design is made for a tool to function in non-recurrent conditions and cope with...

Heat recovery with hybrid ventilation in office buildings

This master thesis examines the possibilities of creating a decentralized hybrid ventilation system with a heat recovery system. Natural ventilation is more commonly used as the main ventilation principle and has the advantage to lower the energy costs of a building. One of the downsides of the natural ventilation system is the lack of heat...

Durability of thin noise reducing surface courses

Sand bypass systemen

Wanneer aan een zandige kust, waar sprake is van langstransport, een haven wordt aangelegd is het gevolg dat aan de bovenstroomse zijde van de ingang een aanzandingsgebied ontstaat en dat aan de benedenstroomse zijde erosie optreedt. Uiteindelijk groeit het aanzandingsgebied aan de bovenstroomse zijde uit tot het einde van de golfbreker en neemt...