Recent Submissions

  • Technical Debt Trade-off - Experiences from Software Startups becoming Grownups 

    Cico, Orges (Chapter; Peer reviewed, 2019)
    Software startups are software-intensive early-stage companies that have high growth rates. Their time to market is often regarded as short and decisive in establishing their product/service success, thus leading to ...
  • Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing 

    Umuroglu, Yaman; Davide, Conficconi; Rasnayake, Lahiru; Preusser, Thomas B.; Själander, Magnus (Peer reviewed; Journal article, 2019)
    Matrix-matrix multiplication is a key computational kernel for numerous applications in science and engineering, with ample parallelism and data locality that lends itself well to high-performance implementations. Many ...
  • Resilience Analysis of Software-Defined Networks Using Queueing Networks 

    Nweke, Livinus Obiora (Peer reviewed; Journal article, 2019)
    Software-Defined Networks (SDN) are being adopted widely and are also likely to be deployed as the infrastructure of systems with critical real-time properties such as Industrial Control Systems (ICS). This raises the ...
  • Deep Learning Enhanced Human Activity Recognition for Internet of Healthcare Things 

    Zhou, Xiaokang; Liang, Wei; Wang, Kevin I-Kai; Wang, Hao; Yang, Laurence T.; Jin, Qun (Peer reviewed; Journal article, 2020)
    Along with the advancement of several emerging computing paradigms and technologies, such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of Things (IoT) technologies have been applied ...
  • TOWARDS CDIO STANDARDS 3.0 

    Grøm, Audun; Lyng, Reidar; Malmqvist, Johan (Peer reviewed; Journal article, 2019)
    The topic of this paper is the CDIO Standards, specifically the formulation of CDIO Standards version 3.0. The paper first reviews the potential change drivers that motivate a revision of the Standards. Such change drivers ...
  • Low Inductance Effects on Electric Drives using Slotless Permanent Magnet Motors: A Framework for Performance Analysis 

    Leandro, Matteo; Bianchi, Nicola; Ummaneni, Ravindra Babu; Molinas Cabrera, Maria Marta (Chapter, 2019)
    The use of slotless Permanent Magnet machines is becoming the first choice among many other conventional solutions when improved features, such as smooth control and very high speed, are needed. However, it is not often ...
  • Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo 

    Dutta, Geetartha; Mukerji, Tapan; Eidsvik, Jo (Peer reviewed; Journal article, 2019)
    Simulation-regression is a computationally efficient methodology to estimate the value of information (VOI), as it involves directly estimating the value outcomes corresponding to different data realizations by building a ...
  • AlGaN Nanowires Grown on SiO2/Si (100) Using Graphene as a Buffer Layer 

    Wang, Yunyu; Dheeraj, Dasa; Liu, Zhiqiang; Liang, Meng; Li, Yang; Yi, Xiaoyan; Wang, Junxi; Li, Jinmin; Weman, Helge (Peer reviewed; Journal article, 2019)
    III-Nitride epitaxy is deeply dependent on the substrate and is difficult to grow on amorphous substrates because of the lattice mismatch limits. In this paper, graphene is employed as a buffer layer to assist AlGaN nanowire ...
  • Current interruption performance of ultrahigh-pressure nitrogen arc 

    Abid, Fahim; Niayesh, Kaveh; Espedal, Camilla; Støa-Aanensen, Nina Sasaki (Peer reviewed; Journal article, 2020)
    In this paper, the influence of gas filling pressure on the current interruption performance of different switch configurations with electric arcs burning in nitrogen has been experimentally investigated. A synthetic circuit ...
  • Minimizing Delay and Packet Delay Variation in Switched 5G Transport Networks 

    Bjørnstad, Steinar; Veisllari, Raimena; Chen, David; Tonini, Federico; Raffaelli, Carla (Peer reviewed; Journal article, 2019)
    A key requirement in 5G networks is the demand of minimizing transport delay. In this paper we propose and explore novel mechanisms for minimizing packet delay and delay variation in 5G mobile transport networks. Different ...
  • Symplectic integration of PDEs using Clebsch variables 

    McLachlan, Robert I.; Offen, Christian; Tapley, Benjamin (Journal article, 2019)
    Many PDEs (Burgers' equation, KdV, Camassa-Holm, Euler's fluid equations, …) can be formulated as infinite-dimensional Lie-Poisson systems. These are Hamiltonian systems on manifolds equipped with Poisson brackets. The ...
  • Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures 

    Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Chapter, 2020)
    In this paper, we reuse the Case-Based Reasoning model presented in our last work (Verma et al., 2018) to create a new knowledge intensive similarity-based clustering method that clusters a case base such that the intra-cluster ...
  • Efficient Generation, Ranking, and Unranking of (k, m)-Ary Trees in B-Order 

    Amani, Mahdi; Nowzari-Dalini, A (Peer reviewed; Journal article, 2019)
    In this paper, we present a new generation algorithm with corresponding ranking and unranking algorithms for (k, m)-ary trees in B-order. (k, m)-ary tree is introduced by Du and Liu. A (k, m)-ary tree is a generalization ...
  • A Blind Coupon Mechanism Enabling Veto Voting over Unreliable Networks 

    Gjøsteen, Kristian; Gritti, Clementine Jeanne Pierrette; Boyd, Colin Alexander; Haines, Thomas Edmund (Peer reviewed; Journal article, 2019)
    A Blind Coupon Mechanism (BCM) allows spreading of alerts quietly and quickly over unreliable networks. The BCM primitive ensures that alerts are efficiently broadcast while the nature of these signals are securely hidden. ...
  • Hospitals' Discharge Tendency and Risk of Death - An Analysis of 60,000 Norwegian Hip Fracture Patients 

    Nilsen, Sara Marie; Bjørngaard, Johan Håkon; Carlsen, Fredrik; Anthun, Kjartan Sarheim; Johnsen, Lars Gunnar; Vatten, Lars Johan; Asheim, Andreas (Peer reviewed; Journal article, 2020)
    Purpose: A reduction in the length of hospital stay may threaten patient safety. This study aimed to estimate the effect of organizational pressure to discharge on 60-day mortality among hip fracture patients. Patients ...
  • Identification, visualization and reduction of risk related to HILP events in power systems 

    Kiel, Erlend Sandø; Kjølle, Gerd Hovin (Chapter, 2019)
    High Impact Low Probability (HILP) events in the power system can have severe consequences for society. The concept of power system resilience has recently been applied to study such events. The paper discusses the definition ...
  • An Integrated Method for Generating VSCs’ Periodical Steady-state Conditions and HSS-based Impedance Model 

    Molinas Cabrera, Maria Marta; Zhang, Chen; Føyen, Sjur; Suul, Jon Are; Takanori, Isobe (Peer reviewed; Journal article, 2020)
    This paper proposes an integrated method for generating the voltage-source-converters’ (VSCs’) periodical steady-state (PSS) conditions and the harmonic-state-space (HSS)-based impedance model. Since these two objectives ...
  • Smart Maintenance in Asset Management – Application with Deep Learning 

    Rødseth, Harald; Eleftheriadis, Ragnhild; Li, Zhe; Li, Jingyue (Chapter, 2020)
    With the onset the digitalization and Industry 4.0, the maintenance function and asset management in a company is forming towards Smart Maintenance. An essential application in smart maintenance is to improve the maintenance ...
  • Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system 

    Moctezuma, Luis Alfredo; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2020)
    We present a four-objective optimization method for optimal electroencephalographic (EEG) channel selection to provide access to subjects with permission in a system by detecting intruders and identifying the subject. Each ...
  • Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review 

    Lunde, Trygve Åse; Sjusdal, Atilla Paul; Pappas, Ilias (Peer reviewed; Journal article, 2019)
    The interest of adopting big data (BD) in organizations has emerged in recent years. Even though many organizations have attempted to adopt BD, the benefits gained by this investment has been limited, and organizations ...

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