Denne masteroppgaven innhenter data fra forskjellige relevante kilder til fysisk aktivitet, og designer et smart nudging system. Oppgaven ser på hvordan dataen fra disse relevante kildene kan brukes av systemet til å påvirke adferden og motivasjonen til folk, så folk kan bli mere fysisk aktive.

Everywhere we go we are overwhelmed with impressions and experiences making our day. Research has proven these to change over time, thus psychologists and experimenters in surveys are interested in what a person actually experienced at a particular point in time, referred to as immediate experience. Whether it was as a reaction to some event or just at specific times during the day, is determined ...

Recently, television broadcasters such as the NRK and TV2 channels, have begun offering live internet television and movie archive along with their regular schedule, much like the known video archives such as Youtube and Vimeo. The amount of all television offered reduces the ability of the user to get an overview of the programs that are available at any given time, making the user will probably ...

Type 1 diabetes is a chronic disease that causes significant challenges for the patient and their parents, affecting them physically and mentally. Approximately 450 children are diagnosed with type 1 diabetes in Norway yearly, necessitating lifelong self-management of their blood glucose levels. Early knowledge acquisition is crucial to improving the patient's prognosis and self-management skills. ...

Each winter the Climate-Ecological Observatory for Arctic Tundra (COAT) project deploys a range of small devices to measure and monitor the climate changes that occur in the Arctic regions in an attempt to gain better understanding of how the changes are affecting the Arctic tundra ecosystems. The deployed devices are often limited in terms of energy and connectivity range. Due to this, researchers ...

The amount of information generated exceeeds the current available storage. Big Data, the Internet of Things and the increasing popularity of self-tracking gadgets call for new storage solutions to manage and analyze the data. To handle the constant flow of information, we have implemented Eatnu. Eatnu is a storage system designed to handle large data streams, where programmers can specify what ...

The microprocessor industry has reached limitations of sequential processing power due to power-efficiency and heat problems. With the integrated-circuit technology moving forward, chip-multithreading has become the trend, increasing parallel processing power. The shift of focus has resulted in the vast majority of supercomputers having chip-multiprocessors. While the high performance computing ...

Kongsberg Satellite Services (KSAT) use machine learning and manual analysis done by synthetic aperture radar (SAR) specialists on SAR images in real time to provide a ship detection service. KSATs current machine learning model has a limited ability to distinguish ships close to each other. For this reason, we aim to employ an end-to-end trainable object detection model, as they can better ...

One of the novel new features of mobile 5G networks is what is commonly known as "Ultra Reliable Low Latency" communication. To achieve the "Low Latency" part, it is necessary to introduce processing and storage capabilities closer to the radio access network, thus introducing Edge data centers. An Edge data center will be capable of hosting third-party applications and a user of these ...

Edge computing is an emerging paradigm within the field of distributed computing, aimed at bringing data processing capabilities closer to the data-generating sources to enable real-time processing and reduce latency. However, the lack of representative data in the literature poses a significant challenge for evaluating the effectiveness of new algorithms and techniques developed for this paradigm. A ...