• Data quality issues for vibration sensors: a case study in ferrosilicon production 

      Waszak, Maryna; Moen, Terje; Eidnes, Sølve; Stasik, Alexander Johannes; Hansen, Anders; Bouquet, Gregory; Pultier, Antoine; Ma, Xiang; Tørlen, Idar; Henriksen, Bjørn; Aamodt, Arianeh; Roman, Dumitru (Chapter, 2022)
      Digitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to ...
    • Data quality issues in solar panels installations: a case study 

      Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander (Chapter, 2022)
      Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ...
    • DataGraft: A Platform for Open Data Publishing 

      Roman, Dumitru; Dimitrov, Marin; Nikolov, Nikolay; Pultier, Antoine; Elvesæter, Brian; Simov, Alex; Petkov, Yavor (Journal article; Peer reviewed, 2016)
      DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator ...
    • Losing Control to Data-Hungry Apps – A Mixed-Methods Approach to Mobile App Privacy 

      Brandtzæg, Petter Bae; Pultier, Antoine; Gro Mette, Moen (Journal article; Peer reviewed, 2018)
      Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. However, there is a scarcity of research addressing the combination of (1) individual perceptions of mobile app privacy, (2) ...
    • Privacy in Mobile Apps. Measuring Privacy Risks in Mobile Apps 

      Pultier, Antoine; Harrand, Nicolas; Brandtzæg, Petter Bae (SINTEF Rapport;, Research report, 2016)
      Privacy risks are increasingly linked to how people use their smartphones and tablets. This study investigates privacy issues in 21 mobile apps for Android. The experiment was done in Oslo, Norway, in November and December ...
    • The Projection Mapping Situational Layer: Tabletop Projection Mapping for Visualisation of Real-time Geospatial Data 

      Boletsis, Costas; Pultier, Antoine; Prillard, Ophelia (Chapter, 2023)
      This work presents a data-centric approach to the implementation of tabletop projection mapping, utilising the technology for data visualisation purposes with a focus on real-time geospatial data. The goal of the implementation ...
    • SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data 

      Thomas, Aleena; Nikolov, Nikolay; Pultier, Antoine; Roman, Dumitru; Elvesæter, Brian; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      Big data pipelines are becoming increasingly vital in a wide range of data intensive application domains such as digital healthcare, telecommunication, and manufacturing for efficiently processing data. Data pipelines in ...
    • The InfraRisk ontology: enabling semantic interoperability for critical infrastructures at risk from natural hazards 

      Roman, Dumitru; Sukhobok, Dina; Nikolov, Nikolay; Elvesæter, Brian; Pultier, Antoine (Journal article; Peer reviewed, 2017)
      Earthquakes, landslides, and other natural hazard events have severe negative socio-economic impacts. Among other consequences, those events can cause damage to infrastructure networks such as roads and railways. Novel ...