Recent Submissions

  • Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow 

    Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Springer, 2020-08-27)
    An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and ...
  • Schrödinger formulation of the nondipole light-matter interaction consistent with relativity 

    Førre, Morten; Selstø, Sølve (American Physical Society, 2020-06-25)
    An alternative and powerful Schrödinger-like equation for describing beyond dipole laser-matter interactions and leading relativistic corrections is derived. It is shown that this particular formulation is numerically very ...
  • A Preliminary Usability and Universal Design Evaluation of a Television App User Interface 

    Awale, Bikram; Murano, Pietro (University of Latvia, 2020)
    This paper details a two-part evaluation of the Apple TV user interface. A Heuristic Evaluation and an evaluation using the seven universal design principles were carried out. The overall results showed that the Apple TV ...
  • A framework and methodology for spectral color vision deficiency imaging 

    Shrestha, Raju (International Colour Association, 2020-05-20)
    People with color vision deficiency (CVD) face difficulties in everyday life and may get frustrated when they miss some of the important features in an image because of their inability to perceive differences between certain ...
  • Integrating multiple data sources for learning analytics—review of literature 

    Samuelsen, Jeanette; Chen, Weiqin; Lillehaug, Barbara Wasson (SpringerOpen, 2019-08-28)
    Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ...
  • A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality 

    Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Springer, 2020-06-11)
    Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...
  • Secure healthcare: 5G-enabled network slicing for elderly care 

    Dzogovic, Bruno; Do, Thuan Van; Santos, Bernardo; Jacot, Niels; Feng, Boning; Do, van Thanh (2020)
    While the research and advancements in 5G progresses, the focus of its application is shifting towards the industry and different verticals. The healthcare sector is also where 5G directs its promise to accomplish the ...
  • Improving Cellular IoT Security with Identity Federation and Anomaly Detection 

    Santos, Bernardo; Dzogovic, Bruno; Feng, Boning; Jacot, Niels; Do, Thuan Van; Do, van Thanh (Institute of Electrical and Electronics Engineers (IEEE), 2020-06-16)
    As we notice the increasing adoption of Cellular IoT solutions (smart-home, e-health, among others), there are still some security aspects that can be improved as these devices can suffer various types of attacks that can ...
  • Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning 

    Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (Institute of Electrical and Electronics Engineers (IEEE), 2020-02-20)
    The real-time monitoring of human operator's mental workload (MWL) is crucial for development of adaptive/intelligent human-machine cooperative systems in various safety/mission-critical application fields. Although ...
  • On the moments of a polynomial in one variable 

    Mueger, Michael; Tuset, Lars (Elsevier, 2019-12-10)
    Let f be a non-zero polynomial with complex coefficients and define Mn(f) =R1 0 f(x)n dx. We use ideas of Duistermaat and van der Kallen to prove limsupn→∞ |Mn(f)|1/n > 0. In particular, Mn(f) 6= 0 for infinitely many n ∈ N.
  • On solving the SPL problem using the concept of probability flux 

    Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi (Springer, 2019-02-02)
    The Stochastic Point Location (SPL) problem [20] is a fundamental learning problem that has recently found a lot of research attention. SPL can be summarized as searching for an unknown point in an interval under faulty ...
  • Connecting Remote eNodeB with Containerized 5G C-RANs in OpenStack Cloud 

    Dzogovic, Bruno; Santos, Bernardo; Do, Thuan Van; Feng, Boning; Jacot, Niels; Do, van Thanh (Institute of Electrical and Electronics Engineers (IEEE), 2019-10-03)
    Cloud-Radio Access Networks are one of the main enablers for driving the 5G technology. They allow creation and utilization of core network components in a precise flexible manner that implies of the possibility for resource ...
  • Small scale structures of turbulence in terms of entropy and fluctuation theorems 

    Fuchs, Andre; Queiros, Silvio D.A.; Lind, Pedro; Girard, Alain; Bouchet, Freddy; Wächter, Matthias; Peinke, Joachim (American Physical Society, 2020-03-11)
    We present experimental evidence that, together with the integral fluctuation theorem, which is fulfilled with high accuracy, a detailed-like fluctuation theorem holds for large entropy values in cascade processes in ...
  • Disentangling stochastic signals superposed with periodic oscillations 

    Kampers, Gerrit; Waechter, Matthias; Hoelling, Michael; Lind, Pedro; Queiros, Silvio D.A.; Peinke, Joachim (Elsevier, 2020-02-05)
    We introduce a procedure for separating periodic oscillations superposed on a stochastic signal. The procedure combines empirical mode decomposition (EMD) of a signal with tools of data analysis based on stochastic ...
  • Perceivability of Map Information for Disaster Situations for People with Low Vision 

    Tunold, Siv; Radianti, Jaziar; Gjøsæter, Terje; Chen, Weiqin (Springer Verlag, 2019-07-03)
    Digital maps have become increasingly popular in disaster situation to provide overview of information. However, these maps have also created barriers for many people, particularly people with visual impairments. Existing ...
  • EMG Signals based Human Action Recognition via Deep Belief Networks 

    Zhang, Jianhua; Ling, Chen; Li, Sunan (International Federation of Automatic Control (IFAC), 2019-12-24)
    Electromyography (EMG) signals can be used for action classification. Nonetheless, due to their nonlinear and time-varying properties, it is difficult to classify the EMG signals and it is critical to use appropriate ...
  • Evolved Art with Transparent, Overlapping, and Geometric Shapes 

    Berg, Joachim; Berggren, Nils Gustav Andreas; Borgeteien, Sivert; Jahren, Christian; Sajid, Arqam; Nichele, Stefano (Springer, 2019-11-22)
    In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, lines. Genotypes representing features and ...
  • A Review of Ocean Dynamics in the North Atlantic: Achievements and Challenges 

    Seip, Knut Lehre (MDPI, 2020-03-30)
    I address 12 issues related to the study of ocean dynamics and its impact on global temperature change, regional and local climate change, and on the North Atlantic ecosystem. I outline present achievements and challenges ...
  • Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow 

    Holm, Håvard Heitlo; Brodtkorb, André R.; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (Global Science Press, 2020-05-24)
    The shallow-water equations in a rotating frame of reference are important for capturing geophysical flows in the ocean. In this paper, we examine and compare two traditional finite-difference schemes and two modern finite-volume ...
  • GPU Computing with Python: Performance, Energy Efficiency and Usability 

    Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (MDPI, 2020-01-06)
    In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability of ...

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