The ocean is vulnerable to oil related activities such as oil production and transport that can harm the environment. Environmental damages from oil spills can be large if not dealt with. Satellite images from radar are useful to detect oil spills because they cover both day and night and penetrates clouds. However, detecting oil spills in ocean areas from satellite images are not a trivial task due ...

Accessing route information should be easy. Today, most collective transport companies distribute timeta- bles online as electronic documents and in paper format. These solutions are outdated and cumbersome to use. However, systems have been built to make the task of finding route information easy, and to replace these formats. Most of these systems, still, have limitations. They rely on users knowing ...

Local-first software is an attempt to use the benefits of cloud service while reducing its drawbacks. Local-first software gives the clients ownership and control of their data and makes the service always available. It is achieved by having the primary copy of the service at the client. The most common way to implement local-first software is by utilizing Conflict-free Replicated Datatypes or CRDTs, ...

The topic of a more sustainable environment has been a core factor to governments and the public for many years. Sustainability in land transportation brings about less emission of greenhouse gases, less pollution, less traffic, a healthier and more active society. Ignorance to sustainability has brought about several environmental and human concerns including global warming. Global warming is the ...

The air:bit project is a computer science education project that we developed in 2016 for use in North-Norwegian upper secondary (videregående) schools. Students build and code their own air quality sensor kits (air:bits), before collecting air quality data in their local areas. They create their own air quality related research questions, which they answer by analyzing the collected air:bit data ...

Deep Learning (DL) models have developed tremendously over the last couple of decades in their ability to train across large datasets and give fast and accurate results across a varied number of tasks like image classification and segmentation. This is the reason why DL models are being increasingly adopted for aiding medical professionals in the diagnosis and detection of various medical conditions ...

In the recent years, the Web has undergone a tremendous growth regarding both content and users. This has lead to an information overload problem in which people are finding it increasingly difficult to locate the right information at the right time. Recommender systems have been developed to address this problem, by guiding users through the big ocean of information. Until now, recommender systems ...

The environment is progressively affected by global warming and pollution, whereas fossil fuel transportation is one of the major causes. This thesis describes a system that aims to support users in choosing environmentally friendly transportation alternatives. The system uses digital nudging to motivate behavioral change in a non-intrusive manner. This project focuses on the presentation of ...

In this thesis we present the development of a distributed and parallel environment which offers functionality to robots to support them in their task performance. We want the environment to be a framework where students can experiment with robots, and in which we can arrange robot competitions. Our motivation for this thesis is an earlier developed robot system at our department. It was ...

This thesis presents the design and implementation of Distributed OpenSceneGraph. Distributed OpenSceneGraph is a graphics visualization toolkit for distributed applications, in particular for tiled display wall systems. Distributed OpenSceneGraph allows for flexible and reasonably transparent development of distributed graphics applications by introducing the notion of distributed nodes into the ...