Viser treff 61-80 av 148

    • Information collection for smart transportation nudges 

      Johnsen, Jacob (Master thesis; Mastergradsoppgave, 2020-06-25)
      Global climate change is becoming of increasing concern. Transportation makes up a large part of carbon gasses, which affects climate change and air quality. As transportation is a big part of carbon emissions, everybody can contribute to reducing emissions through transportation. One way for people to contribute is to start choosing greener transportation. Nuding is a tool that can be used to ...
    • Data collection and combination for smart nudges in physical activity 

      Karlsen, Lars (Master thesis; Mastergradsoppgave, 2020-06-22)
      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.
    • Storing and representing smart nudges in a user profile 

      Mæland, Marius Johan (Master thesis; Mastergradsoppgave, 2020-06-19)
      Oppgaven handler om hvordan informasjon og struktur en bruker profil trenger for og og kunne lagre smart nudges, og bruke dette til og finne brukerens preferanser. Et design på brukerprofil er laget og dette designet er brukt for og implementere en brukerprofil som inneholder smart nudger.
    • PKI and high-level security programming abstractions for SNOOP 

      Stenhaug, Håkon (Master thesis; Mastergradsoppgave, 2019-12-15)
      When working with sensitive data in a distributed setting, secure multi-partycomputations(SMC) protocols aims to preserve the privacy of participants. Acore aspect of any SMC protocol is secure communication between participants.Based on the NOOP and SNOOP middleware with a combination of secret keyand public-key cryptography we design and implement a public key infrastruc-ture(PKI) to share signed ...
    • 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 ...