Diabetes is a complex and time-consuming affair for the people that are afflicted by the disease. A strict self-management regime needs to be followed to avoid short- and long-term complications, which requires a great deal of motivation and support from others. Low- or high-blood glucose levels can cause short- and long-term consequences, ranging from headaches and thirst to coma. In the last few ...

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 ...

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 ...

More and more scientific equipment are being placed outside to monitor the environment. Such observation units can benefit from increased autonomy to function during harsh conditions and network partitioning. Environmental conditions like low temperatures can damage equipment. Therefor it is important for equipment to be able to autonomously launch countermeasures. This thesis describes an autonomous ...

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 ...

META-pipe is a metagenomic analysis service provided in the ELIXIR distributed life science infrastructure. It provides assembly of sequence data, functional annotation, and taxonomic profiling. The analysis is computationally intensive and it consist of many jobs which have different requirements and varying complexity and execution times It therefore requires an execution environment that can ...

Distributed Arctic Observatory (DAO) aims to automate, streamline and improve the collection, storage and analysis of images, video and weather measurements taken on the arctic tundra. Automating the process means that there are no human users that needs to be involved in the process. This leads to a loss of monitoring capabilities of the process. There are insufficient tools that allow the human ...

Research in community health introduces challenges regarding analysis of the research data. It involves multiple actors in a varity of arenas, and it is often directed towards the local community and children and their families. The legal, ethical and privacy issues involved introduce constraints upon the analysis performed. SNOOP combined with the D2Worm declarative modelling and infrastructure ...

Distributed applications that span mobile devices, computing clusters, and cloud services, require robust and flexible mechanisms for dynamically loading code. This paper describes lady: a system that augments the .net platform with a highly reliable mechanism for resolving and loading assemblies, and arranges for safe execution of partially trusted code. Key benefits of lady are the low latency and ...

Åpne API blir stadig mer utbredt som fører til at utviklere kan benytte mye tid i å lese dokumentasjon for å finne et passende alternativ. Tesen beskriver en design som kan benyttes for å danne et sett med hjelpemidler som har til hensikt å redusere unødvendige alternativ av API for brukeren. Dette gjøres via en web crawler som går gjennom API dokumentasjon samt en behandler av datamengdene som ...