Recent additions

  • Triggering the next nudge 

    Ottestad, Thomas Forsgren (Mastergradsoppgave; Master thesis, 2022-08-26)
    The aim of this thesis is to establish if a smart nudging system using triggers could be used to better understand the user and their situation as well as aiding in selecting a target activity as part of a complete smart nudging system. Explore how such a system can be used to determine when a user should be nudged and how it can learn from feedback from the user to make changes to itself and ...
  • Privacy-Preserving and Secure Pilot Self-Assessment 

    Eide, Kim Grønning (Mastergradsoppgave; Master thesis, 2022-05-15)
    There is a strong culture for using safety risk management tools to monitor the different parts of the operation in the aviation industry. However, most of the monitoring that is being done is done on the technical conditions of the aircraft rather than on the pilot. While there is an expectation that the pilots self-assess their health regarding how fit the pilot is to operate an aircraft, all the ...
  • Improving audio training for Cochlear Implant users 

    Opdahl, Christer Hagenes (Mastergradsoppgave; Master thesis, 2022-05-15)
    A Cochlear Implant(CI) is an implant that replaces the functionality of the inner ear with an electronic prosthesis. The prosthesis stimulates the auditory nerves within the cochlea so that people with auditory disabilities regain hearing. While the medical process of inserting the implant is relatively straightforward, learning how to use the implant may be difficult. This thesis proposes a ...
  • Management of large geospatial datasets 

    Lau, Ka Hin (Mastergradsoppgave; Master thesis, 2022-05-15)
    In large simulations, like predicting the movement of ocean particles, it is common that simulation executions are related when they share one or more inputs. When the number of simulations increases, it becomes harder for users who run the simulations to keep track of all the simulations. Also, more storage spaces are wasted if there are multiple copies of the same input files. This thesis ...
  • Budget-aware scheduling algorithm for scientific workflow applications across multiple clouds. A Mathematical Optimization-Based Approach 

    Ziagham Ahwazi, Amin (Master thesis; Mastergradsoppgave, 2022-05-16)
    Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ...
  • Building a Neighborhood Resource Map for IoT and Cyber-Physical systems in Resource-Constrained Environments 

    Sønvisen, Sindre (Master thesis; Mastergradsoppgave, 2022-05-12)
    Creating and maintaining a shared resource map between observation nodes that have a behavior where they are mostly sleeping, and have a wake up schedule that are determined at each node locally is challenging. This thesis looks at these challenges, and possible solutions have been proposed to overcome them. Previous research on the topic of constrained IoT networks have looked at the network, ...
  • Continious Synchronization of Conflict-Free Replicated Relations 

    Iversen, Gustav Heide (Master thesis; Mastergradsoppgave, 2022-05-12)
    Local-first software is an attempt to use the benefits of cloud service while reducing its drawbacks. Local-first software gives the clients ownership and control of their data and makes the service always available. It is achieved by having the primary copy of the service at the client. The most common way to implement local-first software is by utilizing Conflict-free Replicated Datatypes or CRDTs, ...
  • Gurret: Decentralized data management using subscription-based file attribute propagation 

    Johansen, Sivert (Master thesis; Mastergradsoppgave, 2022-05-13)
    Research institutions and funding agencies are increasingly adopting open-data science, where data is freely available or available under some data sharing policy. In addition to making publication efforts easier, open data science also promotes collaborative work using data from various sources around the world. While the research datasets are often static and immutable, the metadata of a file ...
  • Personalized Nudges with Edge Computing 

    Andersen, Elisabeth Sie (Mastergradsoppgave; Master thesis, 2022-05-02)
    This thesis aims to investigate the role of edge computing in a smart nudging system. A smart nudging system has requirements for efficient data processing of personal and context-aware data from heterogeneous sources. Furthermore, a smart nudging system needs to protect and preserve the privacy of data within the system. Edge computing has been proposed as a computing paradigm in a smart nudging ...
  • The Mask: Masking the effects of Edge Nodes being unavailable 

    Zhakun, Ilia (Mastergradsoppgave; Master thesis, 2021-11-15)
    The arctic tundra is observed to collect data to be used for climate research. Data can be collected by cyber-physical computers with sensors. However, the arctic tundra has a limited availability of energy. Consequently, the nodes rely on batteries and sleep most of the time to increase the battery-limited operational lifetime. In addition, only a few nodes can expect to be in reach of a back-haul ...
  • How to use an app to Nudge people to choose more green transportation? 

    Myrvang, Ingvild Kristiane (Mastergradsoppgave; Master thesis, 2021-10-02)
    Making green transport choices are more important than ever to save the environment. To accomplish this there must be a reduction in emissions of greenhouse gases and other pollutants. How to make people choose green transportation, when it is inconvenient, is an interesting challenge. Most would rather take the easy way out to avoid the extra planning and estimation of how to reach their destination. ...
  • Slicer 

    Knutsen, Øystein (Mastergradsoppgave; Master thesis, 2021-09-15)
    Explorative data visualization is a widespread tool for gaining insights from datasets. Investigating data in linked visualizations lets users explore potential relationships in their data at will. Furthermore, this type of analysis does not require any technical knowledge, widening the userbase from developers to anyone. Implementing explorative data visualizations in web browsers makes data analysis ...
  • Combination of satellite imagery and wind data in deep learning approach to detect oil spills 

    Borhaug, Hans Berg (Mastergradsoppgave; Master thesis, 2021-09-15)
    The ocean is vulnerable to oil related activities such as oil production and transport that can harm the environment. Environmental damages from oil spills can be large if not dealt with. Satellite images from radar are useful to detect oil spills because they cover both day and night and penetrates clouds. However, detecting oil spills in ocean areas from satellite images are not a trivial task due ...
  • Healthy Transportation Choices with IoT and Smart Nudging 

    Mehmood, Fazal (Mastergradsoppgave; Master thesis, 2021-06-01)
    Modern technology has provided people with ease of living but at the same time has given birth to the problems of equally modern nature. For instance, high reliance on private transportation has resulted in unintended consequences such as high level of air pollution and congestion in urban cities. Another main disadvantage that is often overlooked is related to the rise of several noncommunicable ...
  • Integrating Various Sensor Readings from MySignals into a Standalone Mobile Health App 

    Koirala, Madhu (Master thesis; Mastergradsoppgave, 2021-05-22)
    This project integrates various health parameters Temperature, Heart Rate, Pulse Rate, Blood Pressure, Respiration Rate, ECG, EMG, GSR, Spirometry values, Snore, Blood Sugar, Body Positions and Weight measured through wired and wireless sensors, into a standalone mobile health app. It shows Health Status of the user based on these parameters, and displays the values in different colors for normal ...
  • Investigating the effects of dynamic approximation methods on machine learning (ML) algorithms running on ML-specialized platforms 

    Haugen, Eirik (Master thesis; Mastergradsoppgave, 2021-05-15)
    This thesis discusses the application of optimizations to machine learning algorithms. In particular, we look at implementing these algorithms on specialized hardware, I.e. a Graphcore Intelligence Processing Unit, while also applying software optimizations that have been shown to improve performance of traditional workloads on general purpose CPUs. We discuss the feasibility of using these techniques ...
  • Motivating for behavioral change through smart nudging. Evaluating digital representations of psychological effects 

    Gjærum, Isak (Master thesis; Mastergradsoppgave, 2021-05-13)
    This thesis aims to study psychological effects and how to represent them digitally within a smart nudging system. A smart nudging system creates personalized digital nudges that are highly relevant to the user's context. How the system presents the nudges and what psychological effects are used is critical to influencing the user towards the nudging goal. The goal of the thesis is to find, implement ...
  • General Monitoring of Observational Units in the Arctic Tundra 

    Karlstrøm, Erlend Melum (Mastergradsoppgave; Master thesis, 2021-05-15)
    Climate change is going to change what we know about the arctic tundra. Patterns in the behavior of the wildlife that lives there are predicted to undergo a shift, and it will therefore be important to have reliable sources of empirical data, so that we can understand how these developments are playing out. The arctic tundra is remote and difficult to deploy sensing instruments on, and signal ...
  • Clock Synchronization between Observational Units in the Arctic Tundra 

    Karlstad, Sigurd (Mastergradsoppgave; Master thesis, 2021-05-15)
    The arctic tundra is one of the ecosystems that is most affected by climate changes. The effects of these changes on the wildlife in the arctic are therefore critical to monitor. To monitor the changes, small computing devices with sensors and cameras, known as Observational Units, can be used. Using a cluster network of interconnected observational units, so that data can be reported from the ...
  • Sorterius: Game-inspired App for Encouraging Outdoor Physical Activity for People with Intellectual Disabilities 

    Stellander, Magnus (Master thesis; Mastergradsoppgave, 2021-05-15)
    People with intellectual disabilities have difficulties in reaching the World Health Organization's (WHO) suggested level of physical activity. Previous research shows that participating in physical activities often is related to self-efficacy in a physical activity setting and personal motivation. As physical activity has significant effects on physical and mental health, this thesis aimed to develop ...

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