Quantifying hierarchy in public transport networks: Developing a new metric

Due to increasing pressure on the system, the functioning of public transport networks (PTN) in metropolitan areas is crucial for future mobility. Within these networks, hierarchical levels can be distinguished where different levels have different functions. These hierarchical levels can be analyzed but there is no way to quantitatively...

Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels

News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary in quality and news spreads fast, it is critical to understand what is being consumed by the public. Partisan news is news that favors certain political parties or ideologies. It is undesirable because news...

Mission Planning for Deep Sea Robots

Our challenge was to define a format for a mission plan, and develop an application which allows the users of the robot to create a mission plan effectively. This application should assist the user in the process of creating a mission plan as much as possible. Our client was Allseas who was already the sponsor of the LOBSTER project. During the...

Creating an online auctioning clock

For this project, JEM-id tasked us with creating a proof of concept of a new online auction in the form of a web application for Royal FloraHolland. JEM-id is a software company operating in the agricultural domain.<br/>The pre-existing digital auction is not available as a web application and has generated technical debt over the past twenty...

Scheduling an international relay-run

Roparun is a Foundation that organizes a yearly relay race from Paris, Hamburg and Almelo to Rotterdam in order to raise money for a variety of causes related to palliative care. They requested for an application that could create the start schedule of the race. In this thesis, the problem is analyzed and a greedy based solution is presented....

Creating an automation tool for customer journey experts at ING

ING wants to offer their customers the best experience possible. To achieve this goal, ING’s Customer Journey Experts (CJEs) constantly map and analyze the way customers use ING services in a Customer Journey Map. These maps however, are hard to share and collaborate on. ING needs an online tool in which they can, together with multiple people,...

Attribution Modelling

One of the greatest challenges in marketing is measuring the return of investment of a marketing campaign and translating that into a strategy. Companies spend a lot of money on marketing without knowing how eective certain marketing campaigns are. To solve this problem for bunq, we will be using machine learning to create a marketing...

A plug-in infrastructure for the CodeFeedr project

CodeFeedr is a research project at the software engineering division of the Delft University of Technology in collaboration with the Software Improvement Group. The research focuses on a software infrastructure which serves software practitioners in utilizing data-driven decision making. Currently, frameworks like Apache Flink are capable of...

Flowr: Enhancing Dynamic Market Audience Creation

Omnicom Media Group (OMG) is a company heavily involved in marketing and advertising. Our client is Annalect, a solutions provider that helps the marketers of OMG to make data actionable. OMG has processed cookie data to help their marketers set up advertisement campaigns. They buy this cookie data from a 3rd party. They also manage, however, a...

PlebNet: Botnet for good

Throughout this project two components have been created: Cloudomate and<br/>PlebNet. Cloudomate is a program that can purchase virtual private servers (VPS)<br/>from a number of providers with Bitcoin, it is accessed through a command line<br/>interface and published as Python library. PlebNet is the implementation of an<br/>autonomous self...

Facade labelling using neural networks

This report describes the process of the Bachelorproject(TI3806) done for ‘De Energiebespaarders’, a startup in Amsterdam striving to make homes more energy efficient through accessible advice and installation of insulation or solar panels. The goal of the project was to apply machine learning to improve their system for identifying house...

Cross-mesh communication in Contiki OS