Recent Submissions

  • Bridging the demand and the offer in data science 

    Belloum, Adam SZ; Koulouzis, Spiros; Wiktorski, Tomasz; Manieri, Andrea (Peer reviewed; Journal article, 2019-03)
    During the last several years, we have observed an exponential increase in the demand for Data Scientists in the job market. As a result, a number of trainings, courses, books, and university educational programs (both at ...
  • Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance 

    Farmanbar, Mina; Chunming, Rong (Peer reviewed; Journal article, 2020-02)
    Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart ...
  • A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf 

    Farmanbar, Mina; Palanisamy, Anandhakumar; Høydal, Anne Britt; Keprate, Arvind; Haug, Gjermund (Peer reviewed; Journal article, 2019)
    Vessel activities such as trawling and anchoring potentially affect pipeline integrity. Therefore, the detailed information about the trawl activity in the area is essential for accurate assessment of pipeline, where to ...
  • Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis 

    Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2020-04)
    Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ...
  • Application of Borehole Thermal Energy Storage in Waste Heat Recovery from Diesel Generators in Remote Cold Climate Locations 

    Ghoreishi-Madiseh, Seyed Ali; Kuyuk, Ali Fahrettin; de Brito, Marco Antonio Rodrigues; Baidya, Durjoy; Torabigoodarzi, Zahra; Safari, Amir (Peer reviewed; Journal article, 2019-02)
    Remote communities that have limited or no access to the power grid commonly employ diesel generators for communal electricity provision. Nearly 65% of the overall thermal energy input of diesel generators is wasted through ...
  • The combined effect of amyloid-β and tau biomarkers on brain atrophy in dementia with Lewy bodies 

    Abdelnour, Carla; Ferreira, Daniel; Oppedal, Ketil; Cavallin, Lena; Bousiges, Olivier; Wahlund, Lars Olof; Hort, Jakub; Nedelska, Zuzana; Padovani, Alessandro; Pilotto, Andrea; Bonanni, Laura; Kramberger, Milica Gregoric; Boada, Mercè; Westman, Eric; Pagonabarraga, Javier; Kulisevsky, Jaime; Blanc, Frédéric; Aarsland, Dag (Peer reviewed; Journal article, 2020-07)
    Background Alzheimer’s disease (AD)-related pathology is frequently found in patients with dementia with Lewy bodies (DLB). However, it is unknown how amyloid-β and tau-related pathologies influence neurodegeneration in ...
  • Optimal Access Point Power Management for Green IEEE 802.11 Networks 

    Garroppo, Rosario G.; Nencioni, Gianfranco; Tavanti, Luca; Gendron, Bernard; Scutellà, Maria Grazia (Peer reviewed; Journal article, 2021-03)
    In this paper, we present an approach and an algorithm aimed at minimising the energy consumption of enterprise Wireless Local Area Networks (WLANs) during periods of low user activity. We act on two network management ...
  • Semi-supervised tissue segmentation of histological images 

    Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)
    Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...
  • Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks 

    Isasi, Iraia; Irusta, Unai; Aramendi, Elisabete; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020-05)
    Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ...
  • Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures 

    Ai, Songpu; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2019-02)
    The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ...
  • Artifact Correction in Short-Term HRV during Strenuous Physical Exercise 

    Krolak, Aleksandra; Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-11)
    Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ...
  • Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series 

    Wiktorski, Tomasz; Krolak, Aleksandra (Peer reviewed; Journal article, 2020-10)
    Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ...
  • Automatic Supervisory Controller for Deadlock Control in Reconfigurable Manufacturing Systems with Dynamic Changes 

    Kaid, Husam; Al-Ahmari, Abdulrahman; Li, Zhiwu; Davidrajuh, Reggie (Peer reviewed; Journal article, 2020-07)
    In reconfigurable manufacturing systems (RMSs), the architecture of a system can be modified during its operation. This reconfiguration can be caused by many motivations: processing rework and failures, adding new products, ...
  • Fog Computing for Realizing Smart Neighborhoods in Smart Grids 

    Jaiswal, Rituka; Davidrajuh, Reggie; Chunming, Rong (Peer reviewed; Journal article, 2020-09)
    Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet ...
  • Single Controller-Based Colored Petri Nets for Deadlock Control in Automated Manufacturing Systems 

    Kaid, Husam; Li, Zhiwu; Davidrajuh, Reggie (Peer reviewed; Journal article, 2020-01)
    Deadlock control approaches based on Petri nets are usually implemented by adding control places and related arcs to the Petri net model of a system. The main disadvantage of the existing policies is that many control ...
  • 5G Network Slicing: A Security Overview 

    Olimid, Ruxandra; Nencioni, Gianfranco (Peer reviewed; Journal article, 2020-05)
    The fifth-generation (5G) of cellular networks is currently under deployment by network operators, and new 5G end-user devices are about to be commercialized by many manufacturers. This is just a first step in the 5G's ...
  • Methods for preprocessing time and distance series data from personal monitoring devices 

    Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-06)
    There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring ...
  • Visualization of generic utility of sequential patterns 

    Wiktorski, Tomasz; Królak, Aleksandra; Rosińska, Karolina; Strumillo, Pawel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020-05)
    Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern mining (FPM) it is assumed that all patterns take the same value. ...
  • CCNA-Based Communication Technology Courses 

    Nencioni, Gianfranco; Kårstad, Terje Per (Peer reviewed; Journal article, 2020-04)
    Many study programs include courses on communication technology. All these courses explain the basis of communication technology, but they have different levels of detail depending on the study program and the related ...
  • Automated test case generation for the Paxos single-decree protocol using a Coloured Petri Net model 

    Wang, Rui; Kristensen, Lars Michael; Meling, Hein; Stolz, Volker (Peer reviewed; Journal article, 2019-04)
    Implementing test suites for distributed software systems is a complex and time-consuming task due to the number of test cases that need to be considered in order to obtain high coverage. We show how a formal Coloured Petri ...

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