The global fishing industry, a critical food source, faces significant challenges due to criminal activities such as illegal fishing and over-exploitation. Traditional surveillance methods can be susceptible to tampering and cannot fully ensure the integrity of recorded events. This thesis introduces Haddock, a shared, distributed logging system leveraging a two-phase dissemination protocol and the ...

Climate change has emerged as an important topic over the past decade, and one of the areas most susceptible to change is the Arctic Tundra. Monitoring the environment features a variety of challenges; it’s remote location, manual monitoring equipment and required permission to depart on expeditions. A solution to this is the use of a wireless sensor network to allow more automatic gathering ...

Today, many are unaware of how much of their personal information is publicly available on the web, which has become an increasingly important issue among internet users. This thesis builds on the work of the preceding Capstone project and uses the open-source Online Privacy Pilot tool as a case study to explore how large language models can be incorporated into the tool to enhance its functionality ...

Querying and exploring health data can lead to the discovery of new rela- tions between conditions, medications, hospital events, etc. For this purpose, temporal health queries are useful since the order in which events happen is important. Many of the querying tools available do not address the unique needs of temporal health queries, making these queries difficult and time-consuming to ...

For peer-to-peer collaborative editing systems utilizing the Conflict-free Replicated Data Type memory consumption can become a significant issue, particularly when handling large files with extensive editing histories. It can lead to performance problems and hinder user productivity, especially in environments with limited resources. This thesis addresses the problem of excessive memory usage and ...

Modern decision-making processes across industries today increasingly rely on data-driven insights derived from various sources. As smart devices, sensor tech- nology, and the IoT (Internet of Things) evolve, organizations are progressively leveraging these technologies for data-driven decision-making. However, with the introduction of regulations such as the General Data Protection Regulation (GDPR) ...

Integrity of data is important in today as more of societies structure today are distributed and becomes vulnerable to dishonest entities on their edge devices. Using provenance to prove integrity over edge devices and distributed networks is difficult, as it often produces big amounts of data which fills up storage without having a need to be used. Comm2Prov seeks to fix this by combining the ...

In contemporary football, advanced analysis techniques are increasingly important, enhancing clubs’ capabilities to make strategic in-game adjustments. Central to this advancement is the availability of real-time analytics, which relies heavily on accurate player and ball tracking technologies. While real-time player tracking has become more accessible, automatic and reliable real-time ball ...

Studies have shown that the Sami culture of communicating about health can often be indirect and reliant on implications and hints rather than clear unambiguous statements. The style is described as “roundabout”, circling around a topic before closing in on it. Modern medicine typically values directness and unambiguousness in its mission of effective anamnesis and diagnosis. Due to these differing ...

In recent years, there has been considerable effort to promote gender balance in the academic environment of Computer Science (CS). However, there is still a gender gap at all CS academic levels: from students, to PhD candidates, to faculty members. This general trend is followed by the Department of Computer Science at UiT The Arctic University of Norway. To combat this trend within the CS environment ...