Secure multiparty computation (SMC) is a technique that allows multiple parties to jointly compute a function while keeping their inputs private. This technique has gained significant attention due to its potential applications in various fields, including privacy-preserving healthcare, politics and finance. SMC involves a set of protocols that enable parties to achieve secure computation and ...

The newly founded company Oceanbox is creating a novel oceanographic forecasting system to provide oceanography as a service. These services use mathematical models that generate large hydrodynamic data sets as unstructured triangular grids with high-resolution model areas. Oceanbox makes the model results accessible in a web application. New visualizations are needed to accommodate land-masking and ...

The Historical Population Register (HPR) is a project to build the longitudinal life history of individuals by integrating the historical records of the people in Norway since the 19th century. This study attempted to improve the linking rate between the 1875-1900 censuses in HPR, which is currently low, using machine learning approaches. To this end, I developed a machine learning model for linking ...

The aim of this thesis is to establish if a smart nudging system using triggers could be used to better understand the user and their situation as well as aiding in selecting a target activity as part of a complete smart nudging system. Explore how such a system can be used to determine when a user should be nudged and how it can learn from feedback from the user to make changes to itself and ...

A Cochlear Implant(CI) is an implant that replaces the functionality of the inner ear with an electronic prosthesis. The prosthesis stimulates the auditory nerves within the cochlea so that people with auditory disabilities regain hearing. While the medical process of inserting the implant is relatively straightforward, learning how to use the implant may be difficult. This thesis proposes a ...

Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ...

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, ...

This thesis aims to investigate the role of edge computing in a smart nudging system. A smart nudging system has requirements for efficient data processing of personal and context-aware data from heterogeneous sources. Furthermore, a smart nudging system needs to protect and preserve the privacy of data within the system. Edge computing has been proposed as a computing paradigm in a smart nudging ...

Making green transport choices are more important than ever to save the environment. To accomplish this there must be a reduction in emissions of greenhouse gases and other pollutants. How to make people choose green transportation, when it is inconvenient, is an interesting challenge. Most would rather take the easy way out to avoid the extra planning and estimation of how to reach their destination. ...

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 ...