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    • Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review 

      Hosamo, Haidar; Hosamo, Mohsen (Peer reviewed; Journal article, 2022)
      There has been a significant surge in the interest in adopting cutting-edge new technologies in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data and control automation systems. ...
    • Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment 

      Khan, Abdur Rehman; Yasin, Amanullah; Usman, Syed Muhammad; Hussain, Saddam; Khalid, Shehzad; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)
      : The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ...
    • Modeling Stator Winding Inter-Turn Short Circuit Faults in PMSMs including Cross Effects 

      Ebrahimi, Saeed Hasan; Choux, Martin Marie Hubert; Huynh, Khang (Chapter; Peer reviewed, 2020)
      This paper presents a detailed analysis of stator winding inter-turn Short Circuit (ITSC) faults, taking the cross effects in the three phases of a permanent magnet synchronous motor (PMSM) into account by considering ...
    • Real-Time Fault Diagnosis of Permanent Magnet Synchronous Motor and Drive System 

      Ebrahimi, Saeed Hasan (Doctoral Dissertations at the University of Agder; no. 414, Doctoral thesis, 2023)
      Permanent Magnet Synchronous Motors (PMSMs) have gained massive popularity in industrial applications such as electric vehicles, robotic systems, and offshore industries due to their merits of efficiency, power density, ...
    • Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network 

      Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)
      The population living in the coastal region relies heavily on fish as a food source due to their vast availability and low cost. This need has given rise to fish farming. Fish farmers and the fishing industry face serious ...
    • RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings 

      Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2022)
      Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration ...
    • Nonlinear air dynamics of a surface effect ship in small-amplitude waves 

      Guo, Zhiqun; Zhong, Liangjing; Wang, Kai; Jiang, Zhiyu (Peer reviewed; Journal article, 2022)
      In many existing works, the seakeeping motions and air dynamics of a surface effect ship (SES) were assumed to be linear under small-amplitude waves (wave amplitude to wave length ratio ≤ 5%) to enhance the computational ...
    • Information diffusion model with homogeneous continuous time Markov chain on Indonesian Twitter users 

      Firdaniza, A; Ruchjana, Budi Nurani; Chaerani, Diah; Radianti, Jaziar (Peer reviewed; Journal article, 2022)
      In this paper, a homogeneous continuous time Markov chain (CTMC) is used to model information diffusion or dissemination, also to determine influencers on Twitter dynamically. The tweeting process can be modeled with a ...
    • Cyclostationary Random Number Sequences for the Tsetlin Machine 

      Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)
      The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ...
    • Synthesis of Lower-Body Human Walking using Trigonometric Spline Method 

      Zhakatayev, Altay; Rogovchenko, Yuriy; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2022)
      In this work, preliminary results of human motion synthesis are presented. Specifically, a single stride motion (consisting of two steps) of a human lower-body model is obtained. The optimal control problem was reformulated ...
    • Rethinking the improvisation of digital health technology : A niche construction perspective 

      Magutshwa, Sindisiwe (Peer reviewed; Journal article, 2022)
      The COVID-19 pandemic has sent shock waves through healthcare organisations and catalysed an impromptu digital shift, creating a demand for telemedicine and other digital health technologies. Under such conditions, ...
    • A married couple of mathematicians from Vienna remembers Sigmund Freud (1953) 

      Siegmund-Schultze, Reinhard (Peer reviewed; Journal article, 2023)
      The paper is based on a hitherto unexplored document (audiotape of an interview accompanied by a German transcript) from 1953, located in the Freud Papers at the Library of Congress. It contributes to a better understanding ...
    • Adaptive quantized control of uncertain nonlinear rigid body systems 

      Schlanbusch, Siri Marte; Zhou, Jing (Journal article; Peer reviewed, 2023)
      This paper investigates the attitude tracking control problem for uncertain nonlinear rigid body systems, where both inputs and states are quantized. It is common in networked control systems that sensor and control signals ...
    • Metaverses and Business Transformation 

      Polyviou, Ariana; Pappas, Ilias (Peer reviewed; Journal article, 2022)
      Metaverses refer to virtual worlds which enable the interaction between users and simulate people, places and things of the physical world. The wider use of metaverses can disrupt how we interact and bring a plethora of ...
    • Estimation of Wind Turbine Performance Degradation with Deep Neural Networks 

      Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)
      In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ...
    • Permanent deformation and fatigue damage interaction in asphalt concrete using energy approach 

      Alamnie, Mequanent Mulugeta; Taddesse, Ephrem; Hoff, Inge (Chapter; Peer reviewed, 2022)
      The interaction of fatigue and permanent deformation is very complex phenomenon and little attempt is made on this topic. This paper presents an investigation on the interaction of the two damages using the energy approach. ...
    • On the Convergence of Tsetlin Machines for the XOR Operator 

      Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana (Peer reviewed; Journal article, 2022)
      The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks. Although numerous papers explore the TM ...
    • The Use of Cross-Platform Frameworks for Google Play Store Apps 

      Biørn-Hansen, Andreas; Grønli, Tor-Morten; Majchrzak, Tim Alexander; Kaindl, Hermann; Gheorghita, Ghinea (Peer reviewed; Journal article, 2022)
      In this paper, we describe the harnessing and analyses of a large sample (n = 661705) of Android apps and associated metadata available on the Google Play Store. The analyses and scrutiny are in the context of cross-platform ...
    • Long term stability of silicide based thermoelectric materials and modules 

      de Padoue Shyikira, Antoine (Doctoral Dissertations at the University of Agder; no. 412, Doctoral thesis, 2023)
      Silicide-based thermoelectric generators are potential candidates for waste heat recovery at temperatures below 500  C. For the last two decades, the conversion efficiency of modules based on n-type magnesium silicides and ...
    • Performance evaluation and stability of silicide-based thermoelectric modules 

      de Padoue Shyikira, Antoine; Skomedal, Gunstein; Middleton, Peter Hugh (Journal article; Peer reviewed, 2020)
      Long-term studies on thermoelectric generators based on N-type magnesium silicide (Mg2.01Si0.49Sn0.5Sb0.01) and P-type higher manganese silicide (Mn0.98Mo0.02Si1.73Ge0.02) materials are presented, in the operating temperature ...