• An Optimization Framework for Tracking Droplets in Fire Water Spray Images 

      Lundberg, Joachim; Lysaker, Ola Marius (Conference object; Peer reviewed, 2015-11-25)
      The properties of the flow from fire water nozzles, like droplet size and velocity distribution within the spray, are known to influence the fire suppression efficiency. To analyze the flow properties, the water spray is ...
    • Application of Reinforcement Learning for Action Evaluation 

      Nordvik, Ola Edvard (Master thesis, 2021)
      Forsterkende læring er en type maskin læring, hvor læringen er basert på prøving og feiling. Det er vanligvis strukturert som en kobling mellom en agent og et miljø. Agenten velger hvilken handling som skal tas, og får en ...
    • Automate Reflector Assembly Using a One- Armed Robot 

      Liane, Rolf Erik (Master thesis, 2022)
      A system has been built for the purpose of automating parts of the assembly process. The system consists of a robot arm with a corresponding controller that has been programmed to handle a variety of tools. These tools are ...
    • Bidomain Simulations of Subendocardial Ischemia: The Forward and Inverse Problems 

      Lysaker, Ola Marius; Nielsen, Bjørn Fredrik; Wall, Samuel (Journal article; Peer reviewed, 2014-09)
      We provide an analysis of the bidomain theory in relation to anterior subendocardial ischemia. Using the static bidomain model, this analysis explains why simulations often do not produce ST depression when the ischemia ...
    • Computing Ischemic Regions in the Heart: On the Use of Internal Electrodes 

      Lysaker, Ola Marius; Nielsen, Bjørn Fredrik; Wall, Samuel (Conference object; Peer reviewed, 2013-09)
      In order to better locate ischemic regions in the heart using electrical measurements and inverse solutions, we explore the possibility for supplementing BSPM data sets with additional internal electrodes in the esophagus. ...
    • General Approaches for 3D Point-Cloud Evaluation, Classification and Material Thickness 

      Austefjord, Ruben (Master thesis, 2021)
      Analysis of geometric point cloud measurements pose very difficult challenges if removed from prior knowledge regarding the measurement process or measured object. The goal is to investigate how collections of 3D coordinates ...
    • Human behaviour modelling for welfare technology using hidden Markov models 

      Sanchez, Veralia Gabriela; Lysaker, Ola Marius; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      Human behaviour modelling for welfare technology is the task of recognizing a person's behaviour patterns in order to construct a safe environment for that person. It is useful in building environments for older adults or ...
    • Observability of Ischemia and the Need for Patient Specific Geometrical Models in Inverse ECG. 

      Lines, Glenn Terje; Lysaker, Ola Marius; Nielsen, Bjørn Fredrik (Journal article; Peer reviewed, 2013-09)
      We have performed ECG simulations on four realistic geometries in order to quantify the effect of ischemic location in the left ventricle in terms of ST shifts in the body surface potential (BSP). Using 64 electrodes we ...
    • Open Active Contour Model For Front Tracking Of Detonation Waves 

      Maharjan, Samee; Lysaker, Ola Marius; Gaathaug, André Vagner (Journal article; Peer reviewed, 2017)
      This paper presents an image processing framework for tracking the front of the detonation wave from a sequence of images. The images are captured by high speed camera during a laboratory gas explosion experiment. By ...
    • Wave Front Tracking using Template Matching and Segmented Regression 

      Siljan, Eirik; Lysaker, Ola Marius; Maharjan, Samee (Peer reviewed; Journal article, 2017)
      An experimental study was designed to measure shock waves (supersonic gas flow) in a shock tube. A high-speed camera captured images of the shock waves, at a framerate up to 500,000 frames per second. with respect to the ...