Now showing items 132-151 of 627

    • Designing and presenting digital nudges on mobile phones Building an app based on system requirements and usability heuristics 

      Kristoffersen, David (Mastergradsoppgave; Master thesis, 2022-12-15)
      The environment is progressively affected by global warming and pollution, whereas fossil fuel transportation is one of the major causes. This thesis describes a system that aims to support users in choosing environmentally friendly transportation alternatives. The system uses digital nudging to motivate behavioral change in a non-intrusive manner. This project focuses on the presentation of ...
    • Designing, implementing, and testing a modern electronic clinical study management system – the HUBRO system 

      Muzny, Miroslav; Bradway, Meghan; Blixgård, Håvard Kvalvåg; Årsand, Eirik (Journal article; Tidsskriftartikkel, 2022-08-22)
      Clinical trials need to adapt to the rapid development of today’s digital health technologies. The fast phase these technologies are changing today, make the clinical study administration demanding. To meet this challenge, new and more efficient platforms for performing clinical trials in this domain need to be designed. Since the process of following up such trials is very time-consuming, it calls ...
    • Detecting events in videos using semantic analytics of subtitles 

      Leer, Erik Bræck (Master thesis; Mastergradsoppgave, 2011-06)
      Recently, television broadcasters such as the NRK and TV2 channels, have begun offering live internet television and movie archive along with their regular schedule, much like the known video archives such as Youtube and Vimeo. The amount of all television offered reduces the ability of the user to get an overview of the programs that are available at any given time, making the user will probably ...
    • Detection of ground contact times with inertial sensors in elite 100-m sprints under competitive field conditions 

      Blauberger, Patrick; Horsch, Alexander; Lames, Martin (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-04)
      This study describes a method for extracting the stride parameter ground contact time (GCT) from inertial sensor signals in sprinting. Five elite athletes were equipped with inertial measurement units (IMU) on their ankles and performed 34 maximum 50 and 100-m sprints. The GCT of each step was estimated based on features of the recorded IMU signals. Additionally, a photo-electric measurement ...
    • 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 ...
    • Diabetes Automata For Diabetes-Related Applications: Software Engine For Blood Glucose Level Simulation 

      Agafonov, Aleksandr (Master thesis; Mastergradsoppgave, 2015-07-10)
      Diabetes Automata is a try of concept in the complex research-field of blood glucose simulation and prediction in experimental medical informatics, an experimental research project in software engineering combined with experimental health science. The project integrates together topics such as software system design and development, object-oriented programming, mobile application development, ...
    • DiaLudus: Developing a Gamified Mobile App for Pediatric Diabetes Education 

      Brattland, Sigurd Johannes (Master thesis; Mastergradsoppgave, 2023-06-01)
      Type 1 diabetes is a chronic disease that causes significant challenges for the patient and their parents, affecting them physically and mentally. Approximately 450 children are diagnosed with type 1 diabetes in Norway yearly, necessitating lifelong self-management of their blood glucose levels. Early knowledge acquisition is crucial to improving the patient's prognosis and self-management skills. ...
    • 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 ...
    • Digital Chronofiles of Life Experience 

      Sødring, Thomas; Johansen, Dag; Gurrin, Cathal (Journal article; Tidsskriftartikkel; Peer reviewed, 2015)
    • Digital Chronofiles of Life Experience 

      Gurrin, Cathal; Johansen, Håvard; Sødring, Thomas; Johansen, Dag (Chapter; Bokkapittel, 2015-02-28)
      Technology has brought us to the point where we are able to digitally sample life experience in rich multimedia detail, often referred to as lifelogging. In this paper we explore the potential of lifelogging for the digitisation and archiving of life experience into a longitudinal media archive for an individual. We motivate the historical archive potential for rich digital memories, enabling ...
    • Dissecting deep neural networks for better medical image classification and classification understanding 

      Hicks, Steven Alexander; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; de Lange, Thomas; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-23)
      Neural networks, in the context of deep learning, show much promise in becoming an important tool with the purpose assisting medical doctors in disease detection during patient examinations. However, the current state of deep learning is something of a "black box", making it very difficult to understand what internal processes lead to a given result. This is not only true for non-technical users but ...
    • A distributed and parallell robot environment for competitive search and rescue using a display wall for visualization 

      Skadsem, Marte Karidatter (Master thesis; Mastergradsoppgave, 2006-06-08)
      In this thesis we present the development of a distributed and parallel environment which offers functionality to robots to support them in their task performance. We want the environment to be a framework where students can experiment with robots, and in which we can arrange robot competitions. Our motivation for this thesis is an earlier developed robot system at our department. It was ...
    • Distributed media versioning 

      Murphy, Michael J. (Master thesis; Mastergradsoppgave, 2017-05-15)
      It is still strangely difficult to backup and synchronize data. Cloud computing solves the problem by centralizing everything and letting someone else handle the backups. But what about situations with low connectivity or sensitive data? For this, software developers have an interesting distributed, decentralized, and partition-tolerant data storage system right at their fingertips: distributed ...
    • Distributed OpenSceneGraph 

      Samuelsen, Thomas (Master thesis; Mastergradsoppgave, 2007)
      This thesis presents the design and implementation of Distributed OpenSceneGraph. Distributed OpenSceneGraph is a graphics visualization toolkit for distributed applications, in particular for tiled display wall systems. Distributed OpenSceneGraph allows for flexible and reasonably transparent development of distributed graphics applications by introducing the notion of distributed nodes into the ...
    • 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 ...
    • DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation 

      Jha, Debesh; Riegler, Michael Alexander; Johansen, Dag; Halvorsen, Pål; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-01)
      Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular strategy for solving medical image segmentation tasks. To improve the performance of U-Net on various segmentation tasks, we propose a novel architecture called DoubleU-Net, which is a combination of two U-Net ...
    • DPC. The distributed personal computer 

      Bjørndalen, Karen E. Hough (Master thesis; Mastergradsoppgave, 2014-01-15)
      Nowadays people have many different personal devices, like laptops and tablets, that they use to access and process data. Very often it is desirable to access and process the same data on different devices without having to copy it from one device to another. Commercial cloud services provide good services for achieving this, but recent events, such as the Snowdon disclosures, have illustrated some ...
    • 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 ...
    • Dynamic path finding method and obstacle avoidance for automated guided vehicle navigation in Industry 4.0 

      Dündar, Yigit Can (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-01)
      Within the scope of Industry 4.0, Automated Guided Vehicles (AGVs) are used to streamline logistics through the usage of efficient path finding methods. The current path finding methods in the industry rely on excessive usage of guidance in the shape of magnets, tapes or QR codes on the floor that the AGVs follow to reach their destinations. However, the current methods lack operational flexibility ...
    • Dynamically loading mobile/cloud assemblies 

      Pettersen, Robert; Johansen, Håvard D.; Valvåg, Steffen Viken; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-20)
      Distributed applications that span mobile devices, computing clusters, and cloud services, require robust and flexible mechanisms for dynamically loading code. This paper describes lady: a system that augments the .net platform with a highly reliable mechanism for resolving and loading assemblies, and arranges for safe execution of partially trusted code. Key benefits of lady are the low latency and ...