Global identification and characterization of drivers of shoreline evolution: A novel method using Satellite Derived Shorelines and spatiotemporal characteristics

Since early history, humans have been attracted to coastal areas. This can be related to the economic benefits of these areas due to access of ocean navigation, coastal fisheries, tourism and recreation (Seas and Plans, 2011). Around 40% of the world’s population lives within 100 km of the coast (Seas and Plans, 2011). People are drawn to sandy...

Saving for a rainy day? Estimating the economic impact of the 2021 Limburg flood

In this thesis I use a novel approach to estimate the economic impact of the 2021 Limburg flood using high-frequency transaction data from ABN AMRO bank. High- frequency bank transaction data have previously been proven valuable in accessing the economic impact of the COVID-19 pandemic (Neuteboom et al., 2021). To the best of my knowledge, this...

Systematically Applying High-Level Mutations for Fuzz Testing Big Data Applications

As the amount of data worldwide continues to grow the big data field is becoming increasingly important. Fuzz testing has shown to be an effective testing tool, and recent work has applied fuzz testing to big data applications. This study aims to contribute to knowledge on fuzz testing big data applications by extending on BigFuzz, a state-of...

TabFuzz: High-level mutations for tabular data

Big Data is an expanding industry, yet exhaustive and automated testing of Big Data applications is still in its early stages. In the last few years, testing framework for Big Data applications have started appearing. BigFuzz is a program that uses fuzz testing for Big Data applications. Fuzz testing means generating random, potentially invalid...

Dataflow Hardware Design for Big Data Acceleration Using Typed Interfaces

Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...

From Energy Measurement To Big Data

This report consummates the Bachelor Project TI3806 course. To accumulate a Bachelor's degree in Computer Science and Engineering at the Delft University of Technology, it is compulsory to pass this course. The project, spanning a duration of ten weeks, is described in this report. The project client was Adviesgroep Strategisch Gebouwbeheer...

A Hardware/Software Co-designed Partitioning Algorithm of Sparse Matrix Vector Multiplication into Multiple Independent Streams for Parallel Processing

The trend of computing faster and more efficiently has been a driver for the computing industry since its beginning. However, it is increasingly difficult to continue this trend because current CMOS technology cannot be down-scaled anymore due to physical restrictions. Consequently, to obtain the next major performance improvement, the focus is...

Measuring the spillover effects of urban icons

<b>Context - </b>The development of urban icons has become a popular strategy for municipalities to reach envisioned spillover effects, e.g. by boosting the urban image or by functioning as a catalyst in the regeneration of an urban area. These iconic developments are not rarely associated with high public investments, which often tend to be...

The Influence of Team-Technology Satisfaction on the Quality of Human Generated Data: A Case Study at Royal Vopak

In the light of the fourth industrial revolution, referred to as Industry 4.0, big data is becoming the key resource of modern companies. In order to safely harvest the potential benefits of the Industry 4.0, a high level of data quality is essential. Yet, modern companies experience poor data quality levels, mainly in human generated datasets....