Recent additions

  • Non-Opportunistic Data Transfer for IoT and Cyber-Physical Systems with Mostly Sleeping Nodes 

    Hellemo, Isak Østrem (Mastergradsoppgave; Master thesis, 2022-07-12)
    Sensor networks are frequently used to monitor our environment. From monitoring the habitat of seabirds [1], to the structural integrity of bridges [2]. They can also be used to monitor the arctic tundra to help us monitor climate change. The arctic tundra does however place additional requirements on a monitoring system. Low access to energy sources, human intervention, and networks to transfer ...
  • End-to-end Trainable Ship Detection in SAR Images with Single Level Features 

    Tiller, Markus (Master thesis; Mastergradsoppgave, 2022-06-01)
    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 ...
  • Investigating and developing efficient federated learning for air pollution monitoring 

    Reinnes, Jørgen (Master thesis; Mastergradsoppgave, 2022-06-01)
    Location-based data may be considered highly private; as such, handling location-based data requires that it cannot be used to track a user. In a network of multiple edge devices that each collect data, training a machine learning model would typically involve transmitting the data securely to a central server which requires strict privacy rules. Federated learning solves the privacy problem ...
  • Correctness Criteria for Function-Based Reclassifiers: A Language Based Approach 

    Hansen, Steinar Brenna (Master thesis; Mastergradsoppgave, 2022-06-01)
    An emerging problem in systems security is controlling how a program uses the data it has access to. Information Flow Control (ifc) propagates restrictions on data by following the flow of information, for example if a secret value flows to a public value, that value should be considered secret as well. A common problem in ifc is reclassification of data, for instance to explicitly make data ...
  • First steps towards solving the café problem 

    Ellingsen, Mariel Evelyn Markussen (Mastergradsoppgave; Master thesis, 2022-06-08)
    Hearing loss, and assistive technologies to compensate for the loss, are becoming more and more regular. Hearing aids have improved the quality of life for many suffering from hearing loss but are still insufficient in some social settings. The café problem rises when there are a group of people talking in a relatively noisy environment where one person has hearing aids. Even with modern advancements, ...
  • From Palm to Arm 

    Klevstad, Bernt Julian (Mastergradsoppgave; Master thesis, 2022-06-01)
    The number of people diagnosed with diabetes is increasing at an alarming rate. However, strong evidence shows that health information technology has improved medical outcomes, especially within the field of diabetes research. This thesis investigates how to motivate people with diabetes to perform self-management activities with the help of a smartwatch application. The work is grounded in a ...
  • Implementing Motivational Features for an Augmented Reality Game Encouraging Physical Activity for Persons with Intellectual Disabilities 

    Luzi, Thomas (Mastergradsoppgave; Master thesis, 2022-05-31)
    Evidence shows lower physical activity (PA) levels in persons with an intellectual disability (ID) compared to the general population. Physical activity promotes multiple health benefits, such as prolonged life and reduced risk for obtaining various chronic diseases. There are numerous applications targeting increased physical activity for the general population, but these tend to be too complex to ...
  • AktiMotBot: A social media chatbot with activity tracker integration for motivating increased physical activity 

    Sandsdalen, Helle (Mastergradsoppgave; Master thesis, 2022-05-27)
    The World Health Organization has reported that more than 80% of the world’s adolescent population is insufficiently physically active [1]. Up to five million deaths per year could be averted if the global population were more active[1]. The low adherence to physical activity shows the need to implement services that promote physical activity. In addition, it is crucial to educate people on ...
  • Sáhka 

    Hilbertsen, Markus Bergum (Mastergradsoppgave; Master thesis, 2022-05-25)
    Elite football today is infused with technologies for collecting data on players' performance and health. Technologies such as wearable health and fitness trackers, full-body medical scans, and positional systems mounted around a stadium give coaches a wide range of accurate data about their players. However, coaches do not have the time or ability to analyze all this data for each player to give ...
  • Investigating the latency cost of statistical learning of a Gaussian mixture simulating on a convolutional density network with adaptive batch size technique for background modeling 

    Phan, Hung Ngoc (Master thesis; Mastergradsoppgave, 2021-05-31)
    Background modeling is a promising field of study in video analysis, with a wide range of applications in video surveillance. Deep neural networks have proliferated in recent years as a result of effective learning-based approaches to motion analysis. However, these strategies only provide a partial description of the observed scenes' insufficient properties since they use a single-valued mapping ...
  • Aika: A Distributed Edge System For Machine Learning Inference. Detecting and defending against abnormal behavior in untrusted edge environments 

    Alslie, Joakim Aalstad (Master thesis; Mastergradsoppgave, 2021-12-14)
    The edge computing paradigm has recently started to gain a lot of momentum. The field of Artificial Intelligence (AI) has also grown in recent years, and there is currently ongoing research that investigates how AI can be applied to numerous of different fields. This includes the edge computing domain. In Norway, there is currently ongoing research being conducted that investigates how the confluence ...
  • Integration of HelseID with Third-Party Role Assignments Data 

    Fagermyr, Thomas L. (Master thesis; Mastergradsoppgave, 2021-08-31)
    The Norwegian healthcare sector is vast, with a substantial number of organizations employing plenty of people, and thereof, 7,300 are customers of Norsk Helsenett. Maintaining and keeping up-to-date information about access rights for these customers is a difficult, time-consuming, and manual task, especially since organizations often change personnel without notifying the system administrators. ...
  • Authentication and Authorization in Blind Data Miners 

    Myrland, Morten (Master thesis; Mastergradsoppgave, 2021-06-15)
    Chronic pain is defined as pain that lasts for at least 12 weeks. People with chronic pain conditions can have difficulties getting through daily tasks because the pain can limit their mobility, strength, and endurance. As of 2021, there is no universal treatment that works for all cases of chronic pain. A tool that can give personalized treatment alternatives for each patient can benefit this ...
  • Can a code snippet portal contribute to greater learning outcomes in other fields of science and technology? 

    Taha, Sidra (Master thesis; Mastergradsoppgave, 2021-06-08)
    In this project we developed a web portal for students and by students in order to be able to help each other understanding coding in the different subjects across fields of study. The web portal is implemented using HTML programming language and its templates, and running the front-end with flask web application framework. A database has been made for collecting and storing code snippets.
  • User Profiles Inferred from Smartphone Sensor/Context Data. How Features and Attributes Contribute to a Smart Nudge System 

    Bengtson, Håvard (Master thesis; Mastergradsoppgave, 2021-06-01)
    Oppgaven undersøker hvordan brukerprofiler funnet fra smartphone sensor/context data can bli bruk i et smart nudge system. Relevant forskning som omhandler bruker profilering fra smartphone sensor/context data blir beskrevet og brukt som argument for å lage et smart design basert på brukerprofiler funnet fra smartphone sensor/context data. Et system er implementert hvor bruker profiler blir funnet ...
  • Supporting Undo and Redo for Local-First Software. An Implementation in Automerge 

    Brattli, Eric (Master thesis; Mastergradsoppgave, 2021-06-01)
    With the advance of cloud computing and centralization of data, a new effort goes entirely in the other direction and aims for decentralization of data through local-first software. Collaborative applications created this way need strong undo and redo support to handle the inevitable mistakes that take place in a collaborative setting. Local-first software can be effectively built using Conflict-Free ...
  • Towards a General Database Management System of Conflict-Free Replicated Relations 

    Tomter, Iver Toft (Master thesis; Mastergradsoppgave, 2021-05-31)
    This project aims to explore creating a relational database of Conflict-Free Replicated Relations (CRR) that is generally applicable for most user applications. We aim to achieve generality by using SQLite because it is a commonly used embedded Database Management System that comes default in all Android or iOS devices. The implementation challenge is making CRR using only SQL. We propose a ...
  • Dynamic ePROM mobile application to improve diabetes consultations. Incorporating patient-gathered data into ePROMs 

    Aglen, Benjamin (Master thesis; Mastergradsoppgave, 2021-05-31)
    People with diabetes live a life of constant need to monitor and manage their illness. Unfortunately, a large number of people with diabetes suffer from diabetes-related distress and depression. A better diabetes consultation can directly impact the health of people with diabetes, both mentally and physically. In this thesis, healthcare practices that previous studies have reported lead to a ...
  • A group-based motivational mobile application for people with diabetes 

    Sjøhaug, Joakim (Mastergradsoppgave; Master thesis, 2021-06-08)
    \textit{Diabetes} is a disease defined by raised blood glucose levels, and people with the disorder have to adhere to a strict self-management regime to avoid short- and long-term complications. Today the World Health Organization reports that over 420 million people have diabetes, and the condition is one of the most common causes of death worldwide. This thesis presents the design and ...
  • Developing a Local-First Application with Automerge 

    Økland, Stian (Mastergradsoppgave; Master thesis, 2021-05-31)
    In modern time, cloud services have been the go-to approach to store information and documents, and cloud makes documents accessible for users and make it easier to manage items. Cloud is an excellent option to have when data need to be available, but what if collaboration is only needed a few times a week? Once a month? Or unstable connection leading to disconnection to the network? A solution is ...

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