Viser treff 1121-1140 av 5405

    • System for measuring, storing, and visualizing pressure of patients dependent on a tracheostomy tube 

      Mørstad, Fredrik (Mastergradsoppgave; Master thesis, 2023-07-03)
      Wrongful removal of tracheostomy tubes is often associated with high drama for all parties involved. With children's repository system being under-documented, there is no consensus on when these tubes should be removed for children at different ages. Measuring the pressure generated by these children can help doctors make better decisions and give the tools for helping medical researchers reach a ...
    • Secure collection of physical activity data from study participants through mobile solutions 

      Fenes, Markus Madsen (Mastergradsoppgave; Master thesis, 2023-06-30)
      Biometric and health related data collected through automated features in smartphones and wearables can provide researchers with valuable information about the population. This thesis explores the possibilities of extracting data from Apple and Samsung wearable devices like watches and smartphones where native built-in support for data extraction and third-party data storage is not available. Doing ...
    • M-CDS: Mobile Carbohydrate Delivery System 

      Puvanendran, Neethan (Mastergradsoppgave; Master thesis, 2023-06-20)
      When patients with type 1 diabetes (T1D) are physically active, they encounter an issue with keeping their blood glucose (BG) stable. Generally, their blood glucose level (BGL) will drop, causing hypoglycaemia which can have fatal consequences. The simple solution is to consume carbohydrates in the form of liquids or food, but during physical activities, it can be difficult to follow their BGL at ...
    • Continuous and automated data collection in migraine research - Extending the data collection capabilities of the Empatica E4 

      Ursin, Daniel (Mastergradsoppgave; Master thesis, 2023-06-01)
      Migraine is a recurrent headache disorder that afflicts significant portions of the global population. There is no current cure and migraines are mainly managed through symptomatic medical treatments and manual biofeedback routines. Automated data collection and prediction of migraine attacks through machine learning could be viable approaches for helping migraineurs and for reducing the impact of ...
    • Asynchronous replication of eventually consistent updatable views 

      Thomassen, Joachim (Mastergradsoppgave; Master thesis, 2023-06-01)
      Users of software applications expect fast response times and high availability. This is despite several applications moving from local devices and into the cloud. A cloud-based application that could function locally will now be unavailable if a network partition occurs. A fundamental challenge in distributed systems is maintaining the right tradeoffs between strong consistency, high availability, ...
    • Local-First Relation Views 

      Elvenes, Lars Marius (Mastergradsoppgave; Master thesis, 2023-06-01)
      In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ...
    • Fine-grained characterization of edge workloads 

      Kanck, Magnus (Mastergradsoppgave; Master thesis, 2023-06-01)
      Edge computing is an emerging paradigm within the field of distributed computing, aimed at bringing data processing capabilities closer to the data-generating sources to enable real-time processing and reduce latency. However, the lack of representative data in the literature poses a significant challenge for evaluating the effectiveness of new algorithms and techniques developed for this paradigm. A ...
    • Culture Enhancement for Exergames for Individuals with Intellectual Disability 

      Dybwad, Dorthe (Mastergradsoppgave; Master thesis, 2023-06-01)
      Background: Individuals with intellectual disabilities (ID) often face barriers when trying to engage in physical activity. Exergames, which combine physical exercise with gaming technology, have shown the potential to promote physical activity among this group of individuals. However, the suitability of exergames for individuals with ID from different cultural backgrounds has received ...
    • Enemy image? A comparative analysis of the Russian federation’s role and position in the leading national security documents of Estonia and the Czech Republic 

      Bartoszewicz, Monika Gabriela; Prucková, Michaela (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-14)
      States are security-seekers vis-a-vis ‘significant others’ who are cast as enemies in the international system. Usually, the study of the enemy image is connected with relative equilibrium concerning power capabilities. Less attention was given to a situation of a decisive power imbalance. Thus, a question arises whether such a situation will lead to a uniform enemy image? Concomitantly, what is the ...
    • RELAX: Representation Learning Explainability 

      Wickstrøm, Kristoffer; Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Boubekki, Ahcene; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-11)
      Despite the significant improvements that self-supervised representation learning has led to when learning from unlabeled data, no methods have been developed that explain what influences the learned representation. We address this need through our proposed approach, RELAX, which is the first approach for attribution-based explanations of representations. Our approach can also model the uncertainty ...
    • Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature 

      Thielke, Linda; Fuchs, Niels; Spreen, Gunnar; Tremblay, Bruno; Birnbaum, Gerit; Huntemann, Marcus; Hutter, Nils; Itkin, Polona; Jutila, Arttu; Webster, Melinda A. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-22)
      Comparing helicopter-borne surface temperature maps in winter and optical orthomosaics in summer from the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition, we find a strong geometric correlation between warm anomalies in winter and melt pond location the following summer. Warm anomalies are associated with thinner snow and ice, that is, surface depression ...
    • From East to East: Reconceptualization of NATO’s Eastern Flank Engagement in the Middle East 

      Bartoszewicz, Monika Gabriela; Pavlíčková, Kristýna (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-06)
      The role of the North Atlantic Treaty Organization and its influence on the peace and conflict dynamic in the Middle East has always been a discussed and controversial issue. While the United States and the countries of the NATO Southern flank are active in the discussions on NATO engagement in the region, the perspectives of NATO Eastern flank countries is often forgotten. This work contributes to ...
    • Optimal sizing and placement of Electrical Vehicle charging stations to serve Battery Electric Trucks 

      Isaksen, Ole-André (Master thesis; Mastergradsoppgave, 2023-06-01)
      For Norway to reach the emission limits in the Paris Agreement, a substantial amount of CO2 must be reduced. Road traffic alone accounts for a high percentage of the total emissions during 2021. This thesis will focus on electrifying the transport sector and analyzing charging infrastructure for heavy-duty electric vehicles. New charging infrastructure for heavy-duty Electric Vehicles (EVs) provides ...
    • Smart Senja electrical network expansion modeling 

      Marthinussen, Oskar (Master thesis; Mastergradsoppgave, 2023-05-30)
      The addition of variable renewable energy sources into the electrical energy systems of the world has been increasing in recent years. This form of distributed energy production with high production volatility can introduce massive challenges in operating a lower voltage distribution network. One of these affected networks is on the island of Senja in northern Norway, with an eldering radial electrical ...
    • Probabilistic Wind Power Forecasting with Deep Neural Sequence Models 

      Svenøe, Sofie (Master thesis; Mastergradsoppgave, 2023-05-27)
      As the world strives to fulfill the goal of zero-emission established during the Paris agreement, an increasing amount of wind power is integrated into the liberalized electricity markets. With this escalation comes the need for wind power forecasting (WPF) due to the intermittent nature of wind, and WPF is therefore becoming an important field of study to successfully incorporate wind power to the ...
    • Arctic Heritage at Risk: Insights into How Remote Sensing, Robotics and Simulation Can Improve Risk Analysis and Enhance Safety 

      Lintott, Bryan John; Rees, Gareth (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-01-23)
      Increased and enhanced utilisation of remote sensing and robotics in the Arctic can further enhance cultural safety and well-being and reduce the risks posed to archaeologists, heritage workers and others in the field. In this preliminary scoping survey, the authors review the current use of these technologies and consider a range of related issues, from cultural safety to nefarious use by criminals. ...
    • Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics 

      Hamersma, Dave T.; Schreuder, Kay; Geleijnse, Gijs; Heeg, Erik; Cellamare, Matteo; Lobbes, Marc B. I.; Mureau, Marc A. M.; Koppert, Linetta B.; Skjerven, Helle; Nygård, Jan Franz; Groothuis-Oudshoorn, Catharina G. M.; Siesling, Sabine (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-05)
      Purpose - The aim of the study was to benchmark and compare breast cancer care quality indicators (QIs) between Norway and the Netherlands using federated analytics preventing transfer of patient-level data.<p> <p>Methods - Breast cancer patients (2017–2018) were retrieved from the Netherlands Cancer Registry and the Cancer Registry of Norway. Five European Society of Breast Cancer Specialists ...
    • Seafood production in Northern Norway: Analyzing variation and co-development in aquaculture and coastal fisheries 

      Espinasse, Marina; Mikkelsen, Eirik Inge; Sørbye, Sigrunn Holbek; Skern-Mauritzen, Mette; Falk-Andersson, Jannike; Fauchald, Per (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-27)
      Norway is one of the leading ocean-based food production nations. Its seafood industry comprises wild-capture fisheries and farmed fish production. Both industries play a provisional role but also contribute to economic development of the country and help sustain coastal communities, particularly, in Northern Norway. Coastal fishery has been the staple industry in Northern Norway for centuries, while ...
    • Experimental probe into an automative engine run on waste cooking oil biodiesel blend at varying engine speeds 

      Biswakarma, Keshab; Sarmah, Pranjal; Paramasivam, Prabhu; Dhanasekaran, Seshathiri; Kumar Yadav, Surendra; Kumar, Virendra (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-13)
      The present work attempts to evaluate the performance of an automotive diesel engine run on waste cooking oil biodiesel (WCO) blend at variable engine speeds. The composition of the blend (B40) used in the study is 40% WCO and 60% diesel by volume and the engine used for the experimentation is a naturally aspirated, watercooled and direct injection type having a compression ratio of 18:1. The ...
    • Kinematic motion models based vessel state estimation to support advanced ship predictors 

      Wang, Yufei; Perera, Lokukaluge Prasad Channa; Batalden, Bjørn-Morten (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Advanced ship predictors can generally be considered as a vital part of the decision-making process of autonomous ships in the future, where the information on vessel maneuvering behavior can be used as the source of information to estimate current vessel motions and predict future behavior precisely. As a result, the navigation safety of autonomous vessels can be improved. In this paper, vessel ...