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Fletta eftir deild "Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI)"

Fletta eftir deild "Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI)"

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  • Hassanian, Reza; Bouhlali, Lahcen; Riedel, Morris (IEEE, 2022-07-06)
    This study presents a deep learning (DL) neural network hybrid data-driven method that is able to predict turbulence flow velocity field. Recently many studies have reported the application of recurrent neural network (RNN) methods, particularly the ...
  • Safarian, Sahar; Unnthorsson, Runar; Richter, Christiaan (American Society of Mechanical Engineers, 2020-01-21)
    Wood and paper residues are usually processed as wastes, but they can also be used to produce electrical and thermal energy through processes of thermochemical conversion of gasification. This study proposes a new steady state simulation model for down ...
  • Hvannberg, Ebba Thora (ACM Press, 2018)
    In many domains, applications have a lifetime of several years, and evolve with new technologies, changing requirements and user behavior. Simulators have been used for training for decades and have evolved in different directions. To learn how ...
  • Samuelsson, Sigurdur Gauti; Book, Matthias (Association for Computing Machinery (ACM), 2020-11-04)
    Software engineers routinely use sketches (informal, ad-hoc drawings) to visualize and communicate complex ideas for colleagues or themselves. We hypothesize that sketching could also be used as a novel interaction modality in integrated software ...
  • Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen (ParCFD2022, 2022-05-25)
    This study aimed to employ artificial intelligence capability and computing scalability to predict the velocity field of the straining turbulence flow. Rotating impellers in a box have generated the turbulence, subsequently subjected to an axisymmetric ...
  • Hvannberg, Ebba Thora; Law, Effie Lai-Chong (ACM Press, 2017)
    An important, but resource demanding step in analyzing observations from usability evaluations is to consolidate usability problems (UPs) that were identified by several evaluators into one master list. An open question is whether consolidating UPs in ...
  • Sumner, Eric Michael; Aach, Marcel; Lintermann, Andreas; Unnthorsson, Runar; Riedel, Morris (IEEE, 2022-02-16)
    Sound localization is the ability of humans to determine the source direction of sounds that they hear. Emulating this capability in virtual environments can have various societally relevant applications enabling more realistic virtual acoustics. We ...
  • Samuelsson, Sigurdur Gauti; Book, Matthias (Association for Computing Machinery (ACM), 2020-06-27)
    Powerful software tools, such as software development environments, often have complex graphical user interfaces (GUIs) that are not intuitive to handle, especially when performing complex, multi-step operations. We hypothesize that sketching could be ...
  • Csapo, Adam; Spagnol, Simone; Herrera Martinez, Marcelo; Bujacz, Michał; Janeczek, Maciej; Ivanica, Gabriel; Wersényi, György; Moldoveanu, Alin; Unnthorsson, Runar (Audio Engineering Society, 2017-05-11)
    This paper focuses on auditory sensory substitution for providing visually impaired users with suitable information in both static scene recognition and dynamic obstacle avoidance. We introduce three different sonification models together with three ...
  • Hvannberg, Ebba Thora; Halldórsdóttir, Gyða; Rudinsky, Jan (Springer International Publishing, 2015)
    Voice communication is vital for collaboration between first responders and commanders during crisis management. To decrease cost, training can take place in a virtual environment instead of in a real one. It is non-trivial to build and evaluate a ...