Now showing items 341-360 of 732

    • PyPSA meets Africa: Developing an open source electricity network model of the African continent 

      Kirli, Desen; Hampp, Johannes; van Greevenbroek, Koen; Grant, Rebecca; Mahmood, Matin; Parzen, Maximilian; Kiprakis, Aristides (Chapter; Bokkapittel, 2021-10-25)
      Electricity network modelling and grid simulations form a key enabling element for the integration of newer and cleaner technologies such as renewable energy generation and electric vehicles into the existing grid and energy system infrastructure. This paper reviews the models of the African electricity systems and highlights the gaps in the open model landscape. Using PyPSA (an open Power System ...
    • File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments 

      Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-18)
      In this paper, we present initial results from our distributed edge systems research in the domain of sustainable harvesting of common good resources in the Arctic Ocean. Specifically, we are developing a digital platform for real-time privacy-preserving sustainability management in the domain of commercial fishery surveillance operations. This is in response to potentially privacy-infringing mandates ...
    • Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence 

      Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-15)
      A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The paper analyzes the effects of changes in land cover (LC), such as deforestation or urbanization, on local climate. Along with green house gas emission, ...
    • 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. ...
    • 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 ...
    • Smart contract formation enabling energy-as-a-service in a virtual power plant 

      Mishra, Sambeet; Crasta, Cletus John; Bordin, Chiara; Mateo-Fornés, Jordi (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-22)
      Energy as a service (EaaS) is an emerging business model that enables the otherwise passive energy consumers to play an active role and participate in the energy utility services. This platform is formed through smart contracts registering peer-to-peer (P2P) transactions of energy through price and quantity. Many industries, including finance, have already leveraged smart contracts to introduce ...
    • IRON-MAN: An Approach to Perform Temporal Motionless Analysis of Video Using CNN in MPSoC 

      Dey, Somdip; Singh, Amit Kumar; Prasad, Dilip K.; McDonald-Maier, Klaus Dieter (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-20)
      This paper proposes a novel human-inspired methodology called IRON-MAN (Integrated RatiONal prediction and Motionless ANalysis) for mobile multi-processor systems-on-chips (MPSoCs). The methodology integrates analysis of the previous image frames of the video to represent the analysis of the current frame in order to perform Temporal Motionless Analysis of the Video (TMAV). This is the first work ...
    • Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra 

      Murphy, Michael J.; Tveito, Øystein; Kleiven, Eivind Flittie; Rais, Issam; Soininen, Eeva M; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel, 2021-08-02)
      The arctic tundra is most sensitive to climate change. The change can be quantified from observations of the fauna, flora and weather conditions. To do observations at sufficient spatial and temporal resolution, ground-based observation nodes with sensors are needed. However, the arctic tundra is resource-limited with regards to energy, data networks, and humans. There are also regulatory and practical ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...