Nye registreringer

  • Flexible Devices for Arctic Ecosystems Observations 

    Michalik, Lukasz Sergiusz; Anshus, Otto; Bjørndalen, John Markus (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-11-26)
    <p>Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resources. Individual usage domains can benefit from a range of functionalities in these devices including flexibility in prototyping, on- device analytics, network roaming, ...
  • Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables 

    Henriksen, André; Mikalsen, Martin Haugen; Woldaregay, Ashenafi Zebene; Muzny, Miroslav; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter; Grimsgaard, Sameline (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-03-22)
    Background: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected ...
  • Design and evaluation of a computer-based 24-Hour physical activity recall (cpar24) instrument 

    Kohler, Simone; Behrens, Gundula; Olden, Matthias; Baumeister, Sebastian E.; Horsch, Alexander; Fischer, Beate; Leitzmann, Michael F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-05-30)
    <p><i>Background</i>: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies.</p> <p><i>Objective</i>: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with ...
  • Efficient disease detection in gastrointestinal videos – global features versus neural networks 

    Pogorelov, Konstantin; Riegler, Michael; Eskeland, Sigrun Losada; de Lange, Thomas; Johansen, Dag; Griwodz, Carsten; Schmidt, Peter Thelin; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-19)
    Analysis of medical videos from the human gastrointestinal (GI) tract for detection and localization of abnormalities like lesions and diseases requires both high precision and recall. Additionally, it is important to support efficient, real-time processing for live feedback during (i) standard colonoscopies and (ii) scalability for massive population-based screening, which we conjecture can be done ...
  • Peer Observations of Observation Units 

    Stormoen, Camilla (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • The metagenomic data life-cycle: standards and best practices 

    Ten Hoopen, Petra; Finn, Robert D.; Bongo, Lars Ailo; Corre, Erwan; Fosso, Bruno; Meyer, Folker; Mitchell, Alex; Pelletier, Eric; Pesole, Graziano; Santamaria, Monica; Willassen, Nils Peder; Cochrane, Guy (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-08-01)
    Metagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine ...
  • Internet of Things Mini Display-based Motivation, Notification and Warning System for Groups of People with Diabetes Type 1 

    Mikalsen, Martin Haugen (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • Making your devices speak. Integration between Amazon Alexa and the Managed IoT Cloud 

    Holden, Thomas (Master thesis; Mastergradsoppgave, 2018-06-01)
    Speech recognition and communication between humans and machines are increasingly popular today. Several companies already have products in this market segment. The Managed IoT Cloud (MIC) platform is a complete ecosystem for management of Internet of Things (IOT) devices, data storage and analysis of data. However, the platform lacks an integration with a personal assistant to introduces ...
  • Arctic HARE. A Machine Learning-based System for Performance Analysis of Cross-country Skiers 

    Nordmo, Tor-Arne Schmidt (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • Swiftmend: Data Synchronization in Open mHealth Applications with Restricted Connectivity 

    Hansen, Christoffer Hellerud (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • SecureCached. Secure caching with the Diggi framework. 

    Hoff, Helge (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • FireChain: An Efficient Blockchain Protocol using Secure Gossip 

    Mikalsen, Jon Foss (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • OUA: Observation Unit Autonomy 

    Jønsson, Emil Anders (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • MELT: The multidimensional key-value store performance evaluation framework. Melt: memory, energy, latency and throughput 

    Blomli-Edvardsen, Tobias (Master thesis; Mastergradsoppgave, 2017-06-02)
    1 Abstract Key-value stores have a very large variation in their design and implementation, while still adhering to the key-value abstraction. The available generic benchmarks cannot truly represent the performance a key-value store will have with a specific application, unless your application happens to have the exact same configuration and workloads as the benchmark. Moreover, most benchmarks ...
  • Metrix: Real-time Analysis of Physical Performance Parameters in Elite Soccer 

    Andreassen, Kim Hartvedt (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • DMNI. Dynamic Mobile Network Infrastructure 

    Fagerli, Simon Kristoffer Nilsen (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • Auto scaling framework, simulator, and algorithms for the META-pipe backend 

    Teige, Tim Alexander (Master thesis; Mastergradsoppgave, 2018-06-01)
    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 ...
  • Data management platform for citizen science education projects 

    Angelvik, Nina (Master thesis; Mastergradsoppgave, 2018-05-15)
    The air:bit project is a computer science education project that we developed in 2016 for use in North-Norwegian upper secondary (videregående) schools. Students build and code their own air quality sensor kits (air:bits), before collecting air quality data in their local areas. They create their own air quality related research questions, which they answer by analyzing the collected air:bit data ...
  • Metadata state and history service for datasets. Enable extracting, storing and access to metadata about a dataset over time. 

    Hansen, Roberth (Master thesis; Mastergradsoppgave, 2018-05-14)
    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 ...
  • Deep Learning: From Data Extraction to Large-Scale Analysis 

    Voets, Mike (Master thesis; Mastergradsoppgave, 2018-05-15)
    We aim to give an insight into aspects of developing and deploying a deep learning algorithm to automate biomedical image analyses. We anonymize sensitive data from a medical archive system, attempt to replicate and further improve published methods, and scale out our algorithm to support large-scale analyses. Specifically, our contributions are described as follows. First, to anonymize and extract ...

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