Now showing items 61-80 of 138

    • 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 ...
    • 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 ...
    • Schema crawled API documentation exploration 

      Bakkeli, Nicolai (Master thesis; Mastergradsoppgave, 2017-12-15)
      Åpne API blir stadig mer utbredt som fører til at utviklere kan benytte mye tid i å lese dokumentasjon for å finne et passende alternativ. Tesen beskriver en design som kan benyttes for å danne et sett med hjelpemidler som har til hensikt å redusere unødvendige alternativ av API for brukeren. Dette gjøres via en web crawler som går gjennom API dokumentasjon samt en behandler av datamengdene som ...
    • Embedded analytics of animal images 

      Thomassen, Sigurd (Master thesis; Mastergradsoppgave, 2017-12-14)
      Due to the large increase of image data in animal surveillance, an effective and efficient way of labeling said data is required. Over the past few years the Climate-ecological Observatory for Arctic Tundra (COAT) project have deployed dozens of cameras in eastern Finnmark, Norway during winter, which have resulted in a large volume of wildlife images which is used to document the effects of climate ...
    • Internet of things DDoS mitigation. Preventing DDoS attacks using learning algorithms on limited hardware 

      Munch-Ellingsen, Peter (Master thesis; Mastergradsoppgave, 2017-10-01)
      DDoS attacks are becoming more and more common, and threatens the current infrastructure of the internet. Cheap new IoT devices have led to a lot of new devices that are poorly secured and can easily be compromised and used for such nefarious purposes. While there are many attemps at solving this problem this thesis looks at a solution which could be applied to typical home router. This would stop ...