Due to the large increase of image data in animal surveillance, an effective and efficient way of labeling said data is required. Over the past few years the Climate-ecological Observatory for Arctic Tundra (COAT) project have deployed dozens of cameras in eastern Finnmark, Norway during winter, which have resulted in a large volume of wildlife images which is used to document the effects of climate ...

Caching services are vital for the performance of large-scale web services running in the cloud. However, placing sensitive data in caching services, implicitly includes all components of the cloud infrastructure that can be exploited. Therefore, end-users place their trust in the entire security stack of their service providers. In order to achieve confidentiality and integrity of sensitive ...

Blockchains have become an integral part of many distributed applications, providing a new platform for interaction between system components. Blockchains are perhaps most known for their use in crypto-currency systems, such as Bitcoin and Ethereum, where pseudo-anonymous parties engage in transactions without a trusted third party. Blockchain systems often struggle to meet performance demands of ...

The advances in sensor technology and big-data processing enable performance analysis of sport athletes. With the increase in data, both from on-body sensors and cameras, it is possible to quantify what makes a good athlete. However, typical approaches in sports performance analysis are not adequately equipped for automatically handling big data. This thesis presents Arctic Human Activity ...

In recent years, technology has had a vast impact on the sports industry, particularly in soccer. Elite soccer teams utilize digital information systems to quantify performance metrics, in order to assess their strengths and weaknesses. Applied methods mostly rely on post-game analytics, allowing coaches to review games in retrospect and implement corrections to their team thereafter. However, this ...

Open mHealth applications often include mobile devices and cloud services with replicated data between components. These replicas need periodical synchronization to remain consistent. However, there are no guarantee of connectivity to networks which do not bill users on the quantity of data usage. This thesis propose Swiftmend, a system with synchronization that minimize the quantity of I/O used on ...

The Arctic Tundra in the far northern hemisphere is one of ecosystems that are most affected by the climate changes in the world today. Five Fram Center institutions developed a long-term research project called Climate-ecological Observatory for Arctic Tundra (COAT). Their goal is to create robust observation systems which enable documentation and understanding of climate change impacts on the ...

This thesis presents a serious mobile exergame for people with intellectual disabilities, to help people with intellectual disability be more physically active. Exergames are games with the purpose of physically engaging the user in the gameplay, and intervenes with sedentariness and repetitive behavior. The game is based around the use of augmented reality, which is described as bringing 3D virtual ...

DaoCron is a service which enables users to schedule tasks periodically. The Distributed Arctic Observatory (DAO) aims to improve the data collection from the arctic tundra using Observation Units (OUs). These OUs are given a set of tasks which they are expected to schedule at certain intervals. In order to schedule these tasks at certain time-intervals one can make use of Cron, which is a tool for ...

With data intensive computing helping advance state-of-the-art in varied fields, data provenance and lineage continue to remain formidable challenges in assisting with integrity and reproducibility in research and applications. This is particularly challenging for distributed scenarios, where data may be originating from decentralized sources without any centralized control by a single trusted entity. ...