Now showing items 1-20 of 389

    • 3D visualization of weather forecasts and topography 

      Skotnes, Harald; Hartvigsen, Gunnar; Johansen, Dag (Research report; Forskningsrapport, 1994-09)
      Advances in computing power and graphics have increased the use of graphics in weather forecasting. This includes 3D animation sequences and geographical information systems. The paper addresses the main problems and presents preliminary results of the visualization of atmospheric models in conjunction with the underlying topography. The goal is among others to make a sort of 3D satellite pictures ...
    • Acceptance barriers of using patients’ self-collected health data during medical consultation 

      Giordanengo, Alain; Årsand, Eirik; Grøttland, Astrid; Bradway, Meghan; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      Patients increasingly collect health-related data using mobile health apps and sensors. Studies have shown that this data can be beneficial for both clinicians and patients if used during medical consultations. However, such data is almost never used outside controlled situations or medical trials. This paper explains why the usage of self-collected health data is not widespread by identifying ...
    • Access control protocol with node privacy in wireless sensor networks 

      Kumar, Pardeep; Gurtov, Andrei; Iinatti, Jari; Sain, Mangal; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-11-15)
      For preventing malicious nodes joining wireless sensor networks (WSNs), an access control mechanism is necessary for the trustworthy cooperation between the nodes. In addition to access control, recently, privacy has been an important topic regarding how to achieve privacy without disclosing the real identity of communicating entities in the WSNs. Based on elliptic curve cryptography, in this paper, ...
    • Accountable Human Subject Research Data Processing using Lohpi 

      Sharma, Aakash; Bye Nilsen, Thomas; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Conference object; Konferansebidrag, 2021-06)
      In human subject research, various data about the studied individuals are collected. Through re-identification and statistical inferences, this data can be exploited for interests other than the ones the subjects initially consented to. Such exploitation must be avoided to maintain trust with the researched population. We argue that keeping data-access policies up-to-date and building accountability ...
    • Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors 

      Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong (Chapter; Bokkapittel, 2023-09-05)
      <p>Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μm (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence ...
    • Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices 

      Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen (Conference object; Konferansebidrag, 2023-10-12)
      Kubernetes default configurations do not always provide optimal security and performance for all clusters and IoT edge devices deployed, affecting the scalability of a given workload and making them vulnerable to security breaches and information leakage if misconfigured. We present an adaptive controller to identify the type of misconfiguration and its consequence threat to optimize the system ...
    • Adding mobility to non-mobile web robots 

      Sudmann, Nils P.; Johansen, Dag (Research report; Forskningsrapport, 2000)
      In this paper we will show that it is possible to combine mobile agent technology with existing non-mobile data mining applications. The motivation for this is the advantage mobile agents offer in moving the computation closer to the data in a distributed system. This can save bandwidth and increase performance when the data is condensed as a result of data mining.
    • Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort 

      Waaler, Per Niklas Benzler; Melbye, Hasse; Schirmer, Henrik; Johnsen, Markus Kreutzer; Dønnem, Tom; Ravn, Johan Fredrik; Andersen, Stian; Davidsen, Anne Herefoss; Aviles Solis, Juan Carlos; Stylidis, Michael; Bongo, Lars Ailo Aslaksen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-24)
      Objective: This study aims to assess the ability of state-of-the-art machine learning algorithms to detect valvular heart disease (VHD) from digital heart sound recordings in a general population that includes asymptomatic cases and intermediate stages of disease progression.<p> <p>Methods: We trained a recurrent neural network to predict murmurs from heart sound audio using annotated recordings ...
    • Algorithms that forget: Machine unlearning and the right to erasure 

      Juliussen, Bjørn Aslak; Rui, Jon Petter; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-22)
      rticle 17 of the General Data Protection Regulation (GDPR) contains a right for the data subject to obtain the erasure of personal data. The right to erasure in the GDPR gives, however, little clear guidance on how controllers processing personal data should erase the personal data to meet the requirements set out in Article 17. Machine Learning (ML) models that have been trained on personal data ...
    • Analyzing Mitochondrial Morphology Through Simulation Supervised Learning 

      Punnakkal, Abhinanda Ranjit; Godtliebsen, Gustav; Somani, Ayush; Acuna Maldonado, Sebastian Andres; Birgisdottir, Åsa birna; Prasad, Dilip K.; Horsch, Alexander; Agarwal, Krishna (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-03)
      The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this article, we demonstrate the use of a machine learning-aided segmentation and analysis pipeline for the quantification of mitochondrial morphology in ...
    • App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison 

      Martínez-Millana, Antonio; Jarones, Elena; Fernandez-Llatas, Carlos; Hartvigsen, Gunnar; Traver, Vicente (Journal article; Tidsskriftartikkel; Peer reviewed, 2018)
      <p><i>Background</i>: Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment are adopted by app makers and provided to the general population remain unexplored.</p> <p><i>Objective</i>: To study the gap between literature ...
    • Appendix E Telemedisinske løsninger i maritime operasjoner og redningstjeneste 

      Woldaregay, Ashenafi Zebene; Hartvigsen, Gunnar; Walderhaug, Ståle (Research report; Forskningsrapport, 2016)
      Folk som jobber i maritime miljø har ikke enkel tilgang til sentrale helsetjenester, og det gjelder spesielt for sjøfolk som arbeider i arktiske områder. Selv om telemedisin har vært en suksess på land, har telemedisin kun i begrenset grad blitt tatt i bruk til havs. Dette skyldes blant annet fravær av gode kommunikasjonsløsninger, dårlige værforhold, store avstander og lange perioder utenfor ...
    • An approach towards an agent computing environment 

      Marzullo, Keith; Johansen, Dag; Lauvset, Kåre J. (Research report; Forskningsrapport, 1998)
      We devise a mobile agent middleware architecture for supporting distributed applications in a wide-area network. The architecture provides a structural framework for functional components that are needed to support mobile agents in asymmetric networking environments.
    • Approximate Bayesian Inference Based on Expected Evaluations 

      Hammer, Hugo Lewi; Riegler, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-01)
      Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable. For existing variants of ABC and BSL, the focus is usually first put on the simulation algorithm, and after that the form of the resulting approximate posterior distribution comes as a ...
    • Arctic beans containers composition of non-functional services using composition filters 

      Yang, Jie; Blair, Gordon S.; Andersen, Anders (Research report; Forskningsrapport, 2005)
      It is becoming clear that modern middleware platforms must provide both deploy-time configuration and run-time reconfiguration to accommodate rapid changing requirements and also to be able to operate in dynamic environments. J2EE is a key example of a middleware architecture that supports enterprise applications via its Enterprise JavaBeans (EJB) component model. EJB provides limited configurability ...
    • Are health videos from hospitals, health organizations, and active users available to health consumers? An analysis of diabetes health video ranking in YouTube 

      Fernandez-Llatas, Carlos; Traver, Vicente; Morell, José Enrique Borrás; Martinez-Millana, Antonio; Karlsen, Randi (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01-24)
      Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information ...
    • Are object detection assessment criteria ready for maritime computer vision? 

      Prasad, Dilip K.; Dong, Huixu; Rajan, Deepu; Quek, Chai (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11-25)
      Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in maritime domain received attention only recently. The maritime environment offers its own unique requirements and challenges. Assessment of the quality of detections is a fundamental need in computer vision. However, the ...
    • Artificial intelligence in dry eye disease 

      Storås, Andrea Marheim; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (Journal article; Tidsskriftartikkel, 2021-11-27)
      Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. Many tests used in the diagnosis of DED rely on an experienced observer for image interpretation, which may be considered subjective and result in variation in diagnosis. ...
    • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-29)
      In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may become a promising tool to improve success rates with ART. AI models may compensate for the lack of objectivity in several critical procedures ...
    • Augmented Reality enhanced device usage training tool for in-home health-self-monitoring by pregnant women 

      Ghimire Subedi, Sarala; Martinez, Santiago; Hartvigsen, Gunnar; Gerdes, Martin (Journal article; Tidsskriftartikkel, 2023-09)
      Virtual care comprising virtual visits and monitoring via audio or video has the potential to reduce access barriers to care and has been successfully implemented in prenatal care. It reduces the frequency of in-person visits and increases self-care skills. However, the knowledge and competence in handling monitoring equipment at home directly influences satisfaction and engagement with the ...