Blar i SINTEF Digital på dokumenttype "Chapter"

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    • Cyber Attacks for Sale 

      Meland, Per Håkon; Sindre, Guttorm (Chapter, 2020)
      The infamous darknet hosts an underground economy for illegal goods and services, some of which can be purchased and used for cyber attacks. By analyzing the properties and popularity of such items, we can get indications ...

    • Cyber Security Considerations for Self-healing Smart Grid Networks 

      Jaatun, Martin Gilje; Moe, Marie Elisabeth Gaup; Per Erik, Nordbø (Chapter, 2018)
      Fault Location, Isolation and System Restoration (FLISR) mechanisms allow for rapid restoration of power to customers that are not directly implicated by distribution network failures. However, depending on where the logic ...

    • Cybersecurity in railway - alternatives of independent assessors’ involvement in cybersecurity assurance 

      Okstad, Eivind Halvard; Bains, Robert; Mewcha, Abera Hailu; Flå, Lars Halvdan; Bernsmed, Karin Elisabeth (Chapter, 2023)
      Cybersecurity and related security management become important issues in railway projects and operations when implementing new digitalised technology. The railway industry is facing an increasing degree of digitalisation ...

    • Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Chapter, 2020)
      In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ...

    • Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Chapter, 2020)
      In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ...

    • 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 ...

    • Data Safety, Sources, and Data Flow in the Offshore Industry 

      Myklebust, Thor; Onshus, Tor Engebret; Lindskog, Stefan; Ottermo, Maria Vatshaug; Bodsberg, Lars (Chapter; Peer reviewed, 2021)
      Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) ...

    • DataCloud: Enabling the Big Data Pipelines on the Computing Continuum 

      Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Benvenuti, Dario; Matskin, Mihhail; Ledakis, Giannis; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Chapter, 2021)

    • Decentralizing the Holter service through improved primary-secondary care collaboration 

      Fensli, Rune Werner; Svagård, Ingrid Storruste (Chapter, 2010)

    • Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines 

      Skytt, Vibeke; Harpham, Quillon; Dokken, Tor; Dahl, Heidi Elisabeth Iuell (Chapter, 2017)
      A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an LR B-spline surface. The aim is to represent ...

    • Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation 

      Gelderblom, Femke B.; Myrvoll, Tor Andre (Chapter, 2021)
      This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ...

    • Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization 

      Bøhn, Eivind Eigil; Coates, Erlend Magnus Lervik; Moe, Signe; Johansen, Tor Arne (Chapter; Peer reviewed, 2019)
      Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the conditions UAVs can operate in and the types ...

    • Defining a Remote Work Policy: Aligning Actions and Intentions 

      Smite, Darja; Moe, Nils Brede (Chapter, 2023)
      After the long period of forced work from home, many knowledge workers have not only developed a strong habit of remote work, but also consider flexibility as their personal right and no longer as a privilege. Existing ...

    • Deliverance from Trust through a Redundant Array of Independent Net-storages in Cloud Computing 

      Zhao, Gansen; JAATUN, Martin Gilje; Vasilakos, Athanasios; Nyre, Åsmund Ahlmann; Alapnes, Stian; Yue, Qiang; Tang, Yong (Chapter, 2011)
      Cloud storage services are gaining more and more attention. Surveys suggest that the confidentiality issue is one of the major obstacles for users to use cloud storage services to keep sensitive data. This paper proposes ...

    • Dependency Management in Large-Scale Agile: A Case Study of DevOps Teams 

      Stray, Viktoria; Moe, Nils Brede; Aasheim, Andreas (Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS);, Chapter; Peer reviewed, 2019)
      Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...

    • Deployment models: Towards eliminating security concerns from cloud computing 

      Zhao, Gansen; Rong, Chunming; Jaatun, Martin Gilje; Sandnes, Frode Eika (Chapter, 2010)
      Cloud computing has become a popular choice as an alternative to investing new IT systems. When making decisions on adopting cloud computing related solutions, security has always been a major concern. This article summarizes ...

    • Design for Trust - Online Grocery Shopping 

      Karahasanovic, Amela; Holm, Kristoffer T.; Nejad, Aria (Chapter, 2017)
      This paper presents our ongoing research into trust and the risks related to online grocery shopping. More specifically, we investigate how to increase customer trust when buying perishable products online. Online grocery ...

    • Design of a micro-optical low coherent interferometer array for the characterisation of MEMS and MOEMS 

      Gastinger, Kay; Haugholt, Karl Henrik; Røyset, Arne Karstein (Chapter, 2009)
      The EU-project SMARTIEHS (SMART InspEction system for High Speed and multi-functional testing of MEMS and MOEMS) develops a new inspection concept for MEMS and MOEMS (M(O)EMS) testing on the wafer level. The inspection ...

    • Design of, and Learning from Simulator-based Contingency Training in Aquaculture 

      Kristensen, Caroline; Holen, Siri Mariane; Lamvik, Gunnar Martin; Okstad, Eivind Halvard; Tinmannsvik, Ranveig Kviseth (Chapter, 2022)
      Contingency training in sea-based aquaculture becomes an increasingly important part of the emergency preparedness. Like other industries, this is especially related to new technologies being introduced to support critical ...