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    • Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement 

      Halvorsrud, Ragnhild; Boletsis, Costas; Garcia-Ceja, Enrique (Chapter; Peer reviewed, 2021)
      Although numerous methods have been formalized for handling the technical aspects of developing domain-specific modeling languages (DSMLs), user needs and usability aspects are often addressed in ad hoc manners and late ...

    • Designing for transitions in rural transport 

      Karahasanovic, Amela; Culén, Alma Leora; Skjetne, Jan Håvard; Hasle, Geir (Chapter, 2020)
      Rural areas are less attractive and sustainable for people and businesses alike, partially due to inadequate transport services. In this paper, we address transport-related challenges in rural Norway. The focal aspect of ...

    • Developing a Quality Framework for Model-Driven Engineering 

      Mohagheghi, Parastoo; Dehlen, Vegard (Chapter, 2008)
      This paper presents some related work on quality frameworks and requirements for evaluating them. It also discusses characteristics of model-driven engineering that are important when building a quality framework, such as ...

    • Developing a Social Innovation Methodology in the Web 2.0 Era 

      Vilarinho, Thomas; Floch, Jacqueline; Oliveira, Manuel Fradinho; Dinant, Inès; Pappas, Ilias; Mora, Simone (Chapter, 2018)
      The world is facing a growing number of societal challenges such as inequality rise, political upheaval, ageing population, etc. Governments are struggling to keep up to theirs existing service offers, making it difficult ...

    • Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach 

      Erdogan, Gencer; Romero, Antonio; Zazzeri, Niccolò; Žitnik, Anže; Basile, Mariano; Aprile, Giorgio; Osorio, Mafalda; Pani, Claudia; Kechaoglou, Ioannis (Chapter; Peer reviewed, 2021)
      The use of cyber ranges to train and develop cybersecurity skills and awareness is attracting more attention, both in public and private organizations. However, cyber ranges typically focus mainly on hands-on exercises and ...

    • DevOps for Better Software Security in the Cloud 

      Jaatun, Martin Gilje; Cruzes, Daniela Soares; Luna, Jesus (Chapter, 2017)
      The DevOps paradigm means that development and operations for an organisation blend together. For security, this implies that information on detected attacks can be fed back to the development, enabling faster eradication ...

    • Dialogue in asymmetrical power relations - Modern safety regulation? 

      Forseth, Ulla; Rosness, Ragnar (Chapter, 2018)
      The purpose of this paper is to explore power, sensemaking and identity construction within a regulatory regime in the petroleum industry that emphasises dialogue and trust as a desired and prioritised mode of working. ...

    • Different Chatbots for Different Purposes: Towards a Typology of Chatbots to Understand Interaction Design 

      Følstad, Asbjørn; Skjuve, Marita; Brandtzæg, Petter Bae (Lecture Notes in Computer Science;11551, Chapter, 2019)
      Chatbots are emerging as interactive systems. However, we lack knowledge on how to classify chatbots and how such classification can be brought to bear in analysis of chatbot interaction design. In this workshop paper, we ...

    • Differential ZTD estimation based on high spatial resolution NWP data for the Nordic countries 

      Håkegård, Jan Erik; Sokolova, Nadezda; Morrison, Aiden J (Chapter, 2022)
      This paper contains results from a study where Numerical Weather Product (NWP) data provided by MET Norway are used to estimate the differential zenith tropospheric delay (dZTD) for an area covering Scandinavia, Finland ...

    • Divide and Conquer – Towards a Notion of Risk Model Encapsulation 

      Refsdal, Atle; Rideng, Øyvind; Solhaug, Bjørnar; Stølen, Ketil (Lecture Notes in Computer Science;8431, Chapter, 2014)
      The criticality of risk management is evident when considering the information society of today, and the emergence of Future Internet technologies such as Cloud services. Information systems and services become ever more ...

    • The DYNABIC approach to resilience of critical infrastructures 

      Rios, Erkuden; Iturbe, Eider; Rego, Angel; Ferry, Nicolas; Tigli, Jean-Yves; Lavirotte, Stephane; Rocher, Gérald; Nguyen, Phu Hong; Song, Hui; Dautov, Rustem; Mallouli, Wissam; Cavalli, Ana Rosa (Chapter, 2023)
      With increasing interdependencies and evolving threats, maintaining operational continuity in critical systems has become a significant challenge. This paper presents the DYNABIC (Dynamic business continuity of critical ...

    • Dynamic Analysis of Compressor Trips in the Snøhvit LNG Refrigerant Circuits 

      Schjølberg, Ingrid (Chapter, 2008)
      Compressors are key components in the refrigerant circuits of the Snøhvit LNG plant and contain large amounts of mechanical energy. Thus it is imperative that the control system is able to keep the compressor out of surge ...

    • Dynamic behaviour of a small-scale hydrogen reformer 

      Michelsen, Finn Are; Schjølberg, Ingrid; Lund, Berit Floor (Chapter, 2007)
      This paper explores dynamics for control design for a novel small-scale hydrogen reformer based on compacted plated heat exchanger technology. Reforming is seen as an important step towards the use of renewable fuels as ...

    • Dynamic monitoring of safety barriers in petroleum installations 

      Omerovic, Aida; Refsdal, Atle; Rideng, Øyvind (Chapter, 2014)
      Accidents on petroleum installations can have huge consequences, resulting in loss of life, environmental damages as well as economic loss. A number of so called safety barriers are therefore from earlier implemented with ...

    • Edge AI LoRa Mesh Technologies 

      Vermesan, Ovidiu; vorm Walde, Kai; Bahr, Roy; Conrady, Cordula; Judvaitis, Janis; Gaigals, Gatis; Karlsen, Tore; Coppola, Marcello; Sand, Hans-Erik (River Publishers Series in Communications;, Chapter, 2023)
      Intelligent connectivity at the edge combines wireless communication, edge artificial intelligence (AI), edge computing and internet of things (IoT) technologies to perform machine learning (ML) and deep learning (DL) on ...

    • Effects of Channel Estimation Errors in OFDM-MIMO-based Underwater Communications 

      Håkegård, Jan Erik; Grythe, Knut Harald (Chapter, 2009)
      State-of-the-art radio communication systems are in a large extent based on multi-carrier communication (OFDM) and multiple antennas (MIMO). In this paper the performance of such systems adapted to an underwater acoustic ...

    • Effects of humanlikeness and conversational breakdown on trust in chatbots for customer service 

      Law, Effie L.-C.; Følstad, Asbjørn; van As, Nena (Chapter, 2022)
      Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational ...

    • Effects of prior experience, gender, and age on trust in a banking chatbot with(out) breakdown and repair 

      Law, Effie Lai-Chong; van As, Nena; Følstad, Asbjørn (Chapter, 2023)
      Trust is an attitudinal construct that can be sensitive to prior experience, gender, and age. In our study, we explored how trust in a banking chatbot might be shaped by these user characteristics. Statistical analysis of ...

    • Efficiency of CO2 Foam Mobility Control with Heterogeneous Reservoir Properties 

      Grimstad, Alv-Arne; Klemetsdal, Øystein Strengehagen (SINTEF Proceedings;7, Chapter; Peer reviewed; Conference object, 2021)
      We investigate how reservoir heterogeneity affects the efficiency of CO2 mobility control in saline aquifer storage. An ensemble of reservoir models is set up for simulation of CO2 injection with a quarter-five-spot well ...

    • Embedded Edge Intelligent Processing for End-To-End Predictive Maintenance in Industrial Applications 

      Vermesan, Ovidiu; Coppola, Marcello (Chapter, 2022)
      This article advances innovative approaches to the design and implementation of an embedded intelligent system for predictive maintenance (PdM) in industrial applications. It is based on the integration of advanced artificial ...