Now showing items 73-92 of 389

    • Design and development of a context-aware knowledge-based module for identifying relevant information and information gaps in patients with type 1 diabetes self-collected health data 

      Giordanengo, Alain; Øzturk, Pinar; Hansen, Anne Helen; Årsand, Eirik; Grøttland, Astrid; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-11)
      <p><i>Background</i>: Patients with diabetes use an increasing number of self-management tools in their daily life. However, health institutions rarely use the data generated by these services mainly due to (1) the lack of data reliability, and (2) medical workers spending too much time extracting relevant information from the vast amount of data produced. This work is part of the FullFlow project, ...
    • Design and evaluation of a computer-based 24-Hour physical activity recall (cpar24) instrument 

      Kohler, Simone; Behrens, Gundula; Olden, Matthias; Baumeister, Sebastian E.; Horsch, Alexander; Fischer, Beate; Leitzmann, Michael F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-05-30)
      <p><i>Background</i>: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies.</p> <p><i>Objective</i>: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with ...
    • Design Principles for Isolation Kernels 

      Kvalnes, Åge; Johansen, Dag; Valvåg, Steffen (Research report; Forskningsrapport, 2011)
    • Designing an e-Health Program for Lifestyle Changes in Diabetes Care A Qualitative Pre-Study in Norway 

      Rishaug, Tina; Henriksen, André; Aas, Anne-Marie; Hartvigsen, Gunnar; Birkeland, Kåre Inge; Årsand, Eirik (Chapter; Bokkapittel, 2022-08-22)
      Type 2 diabetes mellitus (T2D) and prediabetes prevalence rates are high. Consequences are serious, but current treatment is often not efficient for achieving remission. Remission may be achieved through lifestyle intervention. Frequent follow-up is necessary, and health care personnel (HCP) lack resources, time, and often adequate knowledge. Self-management of T2D can benefit from better use 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • EDMON - a system architecture for real-time infection monitoring and outbreak detection based on self-recorded data from people with type 1 diabetes: system design and prototype implementation 

      Coucheron, Sverre; Woldaregay, Ashenafi Zebene; Årsand, Eirik; Botsis, Taxiarchis; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11)
      Infection incidences in people with diabetes can create sever health complications mainly due to the effect of stress hormones, such as cortisol and adrenaline, which increases glucose production and insulin resistance in the body. The proposed electronic disease surveillance monitoring network (EDMON) relies on self-recorded data from people with Type 1 diabetes and dedicated algorithms to detect ...
    • Educating the energy informatics specialist: opportunities and challenges in light of research and industrial trends 

      Bordin, Chiara; Mishra, Sambeet; Safari, Amir; Eliassen, Frank (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-30)
      Contemporary energy research is becoming more interdisciplinary through the involvement of technical, economic, and social aspects that must be addressed simultaneously. Within such interdisciplinary energy research, the novel domain of energy informatics plays an important role, as it involves different disciplines addressing the socio-techno-economic challenges of sustainable energy and power ...
    • Effectiveness of LRB in Curved Bridge Isolation: A Numerical Study 

      Gupta, Praveen Kumar; Ghosh, Goutam; Kumar, Virendra; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-07)
      Lead Rubber Bearings (LRBs) represent one of the most widely employed devices for the seismic protection of structures. However, the effectiveness of the same in the case of curved bridges has not been judged well because of the complexity involved in curved bridges, especially in controlling torsional moments. This study investigates the performance of an LRB-isolated horizontally curved ...
    • An efficient bill-of-materials algorithm 

      Khalaila, Ahmad; Eliassen, Frank (Research report; Forskningsrapport, 1997-04)
      A large class of linear recursive queries compute the bill-of-materials of database relations.This paper presents a novel algorithm that computes the bill-of-materials of its argument's (database) relation. The algorithm uses a special join operation that accumulates the cost of composite parts, without constructing the transitive closure of the argument relation, thus saving time and space. We ...
    • Efficient bill-of-materials algorithms 

      Beeri, Catriel; Khalaila, Ahmad; Eliassen, Frank (Research report; Forskningsrapport, 1996-09-01)
      It has been shown that every linearly recursive database query can be expressed as a transitive closure possibly preceded and followed by relational algebraic operations. A large class of such queries computes the bill-of-materials of database relations. This paper presents efficient sequential and distributed algorithms that compute the bill-of-materials of a database relation. These algorithms ...
    • Efficient concurrent search trees using portable fine-grained locality 

      Ha, Hoai Phuong; Anshus, Otto; Umar, Ibrahim (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-01-14)
      Concurrent search trees are crucial data abstractions widely used in many important systems such as databases, file systems and data storage. Like other fundamental abstractions for energy-efficient computing, concurrent search trees should support both high concurrency and fine-grained data locality in a platform-independent manner. However, existing portable fine-grained locality-aware search trees ...
    • Efficient disease detection in gastrointestinal videos – global features versus neural networks 

      Pogorelov, Konstantin; Riegler, Michael; Eskeland, Sigrun Losada; de Lange, Thomas; Johansen, Dag; Griwodz, Carsten; Schmidt, Peter Thelin; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-19)
      Analysis of medical videos from the human gastrointestinal (GI) tract for detection and localization of abnormalities like lesions and diseases requires both high precision and recall. Additionally, it is important to support efficient, real-time processing for live feedback during (i) standard colonoscopies and (ii) scalability for massive population-based screening, which we conjecture can be done ...
    • Efficient live and on-demand tiled HEVC 360 VR video streaming 

      Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate videos arises. In this respect, the attention that 360∘ panorama video has received lately is huge. Many methods have already been proposed, and in this paper, we shed more light ...