To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which limits detecting both short and longer episodes of ...

Climate change is going to change what we know about the arctic tundra. Patterns in the behavior of the wildlife that lives there are predicted to undergo a shift, and it will therefore be important to have reliable sources of empirical data, so that we can understand how these developments are playing out. The arctic tundra is remote and difficult to deploy sensing instruments on, and signal ...

Simulating large bodies of entities in various environments is an old science that traces back decades in computer science. There are existing software frameworks with well built mathematical models for approximating various environments. These frameworks are however built on imperative programming fundamentals often following a object oriented paradigm. This thesis presents Particular a 3d ...

The Norwegian labour market is under continuous change because of fast-paced innovation in technology. It is therefore vital for educational institutions curricula to reflect the changing requirements to keep the population hireable and provide employers with a highly adaptable workforce. There are no complete systems that let us analyse and extract this information about the labour market efficiently. ...

Background: Consumer-based physical activity trackers have increased in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. The challenges include the large heterogeneity between activity tracker models in terms of available data types, the accuracy of recorded data, and how ...

Statistics from the World Health Organization (WHO) show clear indications that some groups in society have more significant struggles than others getting the recommended amount of physical activity. One of these groups is people with intellectual disabilities, which have different functioning resulting in different needs in terms of facilitation, accessibility, and usability. Many within this group ...

Data compression is a field that has been extensively researched. Many compression algorithms in use today have been around for several decades, like Huffman Coding and dictionary coding. These are general-purpose compression algorithms and can be used on anything from text data to images and video. There are, however, much fewer lossless algorithms that are customized for compressing certain types ...

In the European renewable energy portfolio, wind has a sizeable share in the total energy production. The Nordic and Baltic energy systems in particular are benefiting from wind energy to reach the greenhouse gas emissions reduction objectives set by the EU. The wind energy production varies with time, and this intermittent characteristic imposes a challenge for full utilization of renewable energy ...

The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Such predictions can be helpful to control and prevent the spread of such diseases. The main challenges of applying AI is the small volume of data and the ...

<i>Objective</i> - In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast ...