• Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard (Conference object; Konferansebidrag, 2023-01)
      Nutritionplaysakeyroleinanathlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using Image-Based ...
    • Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing 

      Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Dagenborg, Håvard; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag (Chapter; Bokkapittel, 2023-08-02)
      Detection of anomalies within data streams is an important task that is useful for different important societal challenges such as in traffic control and fraud detection. To be able to perform anomaly detection, unsupervised analysis of data is an important key factor, especially in domains where obtaining labelled data is difficult or where the anomalies that should be detected are often ...
    • MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator 

      Kutschera, Stefan; Slany, Wolfgang; Ratschiller, Patrick; Gursch, Sarina; Dagenborg, Håvard (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-26)
      Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted prototype based on existing muon detection technology was used as the methodology during the experiment ...
    • A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System 

      Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Securing workloads and information flow against misconfiguration in container-based clusters and edge medical devices is an important part of overall system security. This paper presented a controller that analyzes the misconfiguration, maps the observation to its hidden misconfiguration type, and selects the optimal recovery policy to maximize the performance of defined metrics. In the future, we ...