Recent additions

  • CorpOperatio: Game-inspired App for Encouraging Outdoor Physical Activity for People with Intellectual Disabilities 

    Haugland, Vebjørn (Master thesis; Mastergradsoppgave, 2019-05-31)
    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 ...
  • AGA: A Game-Inspired Mobile Application for Promoting Physical Activity in People With Intellectual Disabilities 

    Wiik, Marius Foshaug (Master thesis; Mastergradsoppgave, 2019-05-31)
    Obesity and other health problems have a high prevalence in people with intellectual disabilities. Many lead a sedentary lifestyle and often have low scores on fitness indicators such as muscle strength and cardiovascular fitness. The purpose of this research is to identify design techniques and features of a mobile application that can help promote physical activity in people with intellectual ...
  • Hyperprov: Blockchain-based Data Provenance using Hyperledger Fabric 

    Tunstad, Petter (Master thesis; Mastergradsoppgave, 2019-05-31)
    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. ...
  • Scalable exploration of population-scale drug consumption data 

    Skar, Tengel Ekrem (Master thesis; Mastergradsoppgave, 2019-06-01)
    The potential for knowledge discovery is currently underutilized on pharmacoepidemiologic data sets. A big dataset enables finding and assessing rare drug consumption patterns that are associated with adverse drug reactions causing hospitalization, or death. To enable such exploration of big pharmacoepidemiology data, four key issues need so be addressed. First, to ingest, transform, preprocess ...
  • Latency Optimized Microservice Architecture for Privacy Preserving Computing 

    Magnussen, Nikolai Åsen (Master thesis; Mastergradsoppgave, 2019-06-01)
    Recent developments in microservices architecture and building have lead to the advent of unikernels, a specialized operating system kernel coupled with, and executing only, a single application. This thesis presents PPCE a distributed system utilising a microservices architecture based on unikernels, created to enable privacy-preserving computing for users, classes of users, and more importantly; ...
  • EDMON - A backend server for an infection detection system monitoring individuals with type 1 diabetes 

    Coucheron, Sverre (Master thesis; Mastergradsoppgave, 2019-05-31)
    There are a growing number of adults with diabetes worldwide. Within 2045 it is expected to become over 600 million individuals. Since there are no known cures for diabetes, self-monitoring and self-recording are often used to manage the condition. Having tools such as mobile applications allow individuals to do this. The world and society face a significant health threat from communicable diseases, ...
  • RoadAhead - Removing Uncertainty in Travel. Creating a Data Warehouse for Green Transportation Nudging 

    Wallann, Håkon (Master thesis; Mastergradsoppgave, 2019-06-22)
    This paper describes a data warehouse approach to environmentally friendly transportation nudging. Transportation makes up a significant part of global carbon emissions. These emissions impacts both the climate and the health of individuals. As such, efforts should be done to address transportation patterns and habits. In addition to the reduction of air pollution, making people more active ...
  • Limelight: Real-Time Detection of Pump-and-Dump Events on Cryptocurrency Exchanges Using Deep Learning 

    Nilsen, Andreas Isnes (Master thesis; Mastergradsoppgave, 2019-06-01)
    Following the birth of cryptocurrencies back in 2008, internet investment platforms called exchanges were created to constellate these cryptocurrencies. Allowing investors to sell and buy assets equitable and agile over a single interface. Exchanges now have become popular and carry out over 99% of all daily transactions, totaling hundreds of millions of dollars. Despite that exchanges handling ...
  • DaoCron. Job Scheduler for Autonomous Observation Units in the Arctic Tundra 

    Moe Carstens, Martin Sommerseth (Master thesis; Mastergradsoppgave, 2019-05-31)
    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 ...
  • DiDiMap. Diet Diary and Consumption Control for Monitoring Bowel Dysfunctions and low-FODMAP Diet App 

    Olsen, Tobias Robin Borgen (Master thesis; Mastergradsoppgave, 2019-05-31)
    The purpose of this project was to design and implement a mobile application for people with bowel dysfunctions, intolerances, and food allergies. The application was expected to provide all needed functionality for the target groups day to day challenges. Irritable bowel syndrome, intolerances, and food allergies affect a significant portion of the population. On a world basis, 15\% of the ...
  • VisualBox. A Generic Data Integration and Visualization Tool 

    Aurdal, Pontus Edvard (Master thesis; Mastergradsoppgave, 2019-05-30)
    The number of cellular Internet of Things (IoT) connections is expected to grow at a rate of 30% each year and is reaching into the billions by 2019. The world of IoT can be fragmented since data sources span a wide variety of protocols, API's, authentication methods and file formats. Data collection and processing can be complex and producing visualizations for value extraction can be a tedious ...
  • 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 ...
  • 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 ...

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