SINTEF Digital: Nye registreringer

Viser treff 801-820 av 2523

    • Sustainability transitions in coastal shipping: The role of regime segmentation 

      Bergek, Anna; Bjørgum, Øyvind; Hansen, Teis; Hanson, Jens; Steen, Markus (Peer reviewed; Journal article, 2021)
      Maritime transport has received little attention in sustainability transitions research. This sector is mature and heterogeneous, which suggests the need for a more nuanced perspective on socio-technical regimes to understand ...

    • Accumulation and Prioritization of Architectural Debt in Three Companies Migrating to Microservices 

      Soares de Toledo, Saulo; Martini, Antonio; Nguyen, Phu Hong; Sjøberg, Dag (Peer reviewed; Journal article, 2022)
      Many companies migrate to microservices because they help deliver value to customers quickly and continuously. However, like any architectural style, microservices are prone to architectural technical debt (ATD), which can ...

    • Learning-based Robust Model Predictive Control for Sector-bounded Lur'e Systems 

      Seel, Katrine; Haring, Mark A. M.; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2021)
      For dynamical systems with uncertainty, robust controllers can be designed by assuming that the uncertainty is bounded. The less we know about the uncertainty in the system, the more conservative the bound must be, which ...

    • Exploring human factors of the agile software tester 

      Stray, Viktoria; Florea, Raluca-Madalina; Paruch, Lucas (Peer reviewed; Journal article, 2021)
      Although extensive research has been conducted on the characteristics of the agile developer, little attention has been given to the features of the software-testing role. This paper explores the human factors of the ...

    • An ontology matching approach for semantic modeling: A case study in smart cities 

      Djenouri, Youcef; Belhadi, Hiba; Akli-Astouati, Karima; Cano, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching-based Instances (COMI) and Pattern mining for Ontology Matching-based ...

    • Deep learning based decomposition for visual navigation in industrial platforms 

      Djenouri, Youcef; Hatleskog, Johan; Hjelmervik, Jon M.; Bjorne, Elias; Utstumo, Trygve; Mobarhan, Milad (Peer reviewed; Journal article, 2021)
      In the heavy asset industry, such as oil & gas, offshore personnel need to locate various equipment on the installation on a daily basis for inspection and maintenance purposes. However, locating equipment in such GPS ...

    • Novel 3D Pixel Sensors for the Upgrade of the ATLAS Inner Tracker 

      Terzo, Stefano; Boscardin, Maurizio; Carlotto, Juan; Dalla Betta, Gian-Franco; Darbo, Giovanni; Dorholt, Ole; Ficorella, Francesco; Gariano, G; Gemme, Claudia; Giannini, Giulia; Grinstein, S; Heggelund, Andreas; Huiberts, Simon Kristian; Kok, Angela; Koybasi, Ozhan; Lapertosa, Alessandro; Lauritzen, Magne Eik; Manna, Maria; Mendicino, Roberto; Oide, Hideyuki; Pellegrini, Giulio; Povoli, Marco; Quirion, David; Røhne, Ole Myren; Ronchin, S; Sandaker, Heidi; Abdulla Samy, Md. Arif; Stugu, Bjarne Sandvik; Vannoli, Leonardo (Peer reviewed; Journal article, 2021)
      The ATLAS experiment will undergo a full replacement of its inner detector to face the challenges posed by the High Luminosity upgrade of the Large Hadron Collider (HL-LHC). The new Inner Tracker (ITk) will have to deal ...

    • Using locational data in a novel mixed-methods sequence design: Identifying critical health care barriers for people with disabilities in Malawi 

      Halvorsen, Thomas; Munthali, Alister; Braathen, Stine Hellum; Rød, Jan Ketil; Eide, Arne Henning (Peer reviewed; Journal article, 2021)
      The primary aim of this study was to determine which health care barriers were most important for people with disabilities in Malawi. To accomplish this, we devised a sequential mixed-methods research design that integrated ...

    • Sensor data fusion for the industrial artificial intelligence of things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Houssein, Essam H.; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the ...

    • Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments 

      Lin, Jerry Chun-Wei; Djenouri, Youcef; Srivastava, Gautam; Fournier-Viger, Philippe (Peer reviewed; Journal article, 2021)
      In recent years, HUIM (or a.k.a. high-utility itemset mining) can be seen as investigated in an extensive manner and studied in many applications especially in basket-market analysis and its relevant applications. Since ...

    • Invisible Data Curation Practices: A Case Study from Facility Management 

      Sporsem, Tor Thorsrud; Hatling, Morten Arnt; Mikalsen, Marius (Peer reviewed; Journal article, 2021)
      Facility management, which concerns the administration, operations, and maintenance of buildings, is a sector undergoing significant changes while becoming digitalized and data driven. In facility management sector, companies ...

    • Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments 

      Djenouri, Youcef; Srivastava, Gautam; Belhadi, Asma; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This article introduces a new problem of distributed knowledge graph, in IoT 5G setting. We developed an end-to-end solution for solving such problem by exploring the blockchain management and intelligent method for producing ...

    • Real-time temporal adaptation of dynamic movement primitives for moving targets 

      Østvik, Andreas; Grøtli, Esten Ingar; Vagia, Marialena; Gravdahl, Jan Tommy (Chapter; Peer reviewed, 2021)
      This work is aimed at extending the standard dynamic movement primitives (DMP) framework to adapt to real-time changes in the task execution time while preserving its style characteristics. We propose an alternative ...

    • Neural Network-based Model Predictive Control with Input-to-State Stability 

      Seel, Katrine; Grøtli, Esten Ingar; Moe, Signe; Gravdahl, Jan Tommy; Pettersen, Kristin Ytterstad (Peer reviewed; Journal article, 2021)
      Learning-based controllers, and especially learning-based model predictive controllers, have been used for a number of different applications with great success. In spite of good performance, a lot of these cases lack ...

    • Future competence at shopfloor in the era of Industry 4.0 - A case study in Norwegian industry 

      Lodgaard, Eirin Anita; Torvatn, Hans Yngvar; Sørumsbrenden, Johanne (Peer reviewed; Journal article, 2022)
      Industry 4.0 technologies with the vision of smart factories will dominate the manufacturing industry for the next decades. Hence, the application of digital technologies of modern IT and communication technologies to ...

    • 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) ...

    • Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation 

      Fjordholm, Ulrik Skre; Lye, Kjetil Olsen (Peer reviewed; Journal article, 2022)
      We prove convergence rates of monotone schemes for conservation laws for Hölder continuous initial data with unbounded total variation, provided that the Hölder exponent of the initial data is greater than 12/. For strictly ...

    • The Tension between National and Local Concerns in Preparing for Large-Scale Generic Systems in Healthcare 

      Ellingsen, Gunnar; Hertzum, Morten; Melby, Line (Peer reviewed; Journal article, 2022)
      Large-scale generic systems are typically adapted to local practice through configuration. This is especially important in healthcare, which involves a plurality of institutions and users. However, the decision to acquire ...

    • Assessing the feasibility of archetypal transition pathways towards carbon neutrality – A comparative analysis of European industries 

      Bauer, Fredric; Hansen, Teis; Nilsson, Lars J. (Peer reviewed; Journal article, 2022)
      Analyses of the future for manufacturing and heavy industries in a climate constrained world many times focus on technological innovations in the early stages of the value chain, assuming few significant changes are ...

    • Exploring alternative economic pathways: a comparison of foundational economy and Doughnut economics 

      Wahlund, Madeleine; Hansen, Teis (Peer reviewed; Journal article, 2022)
      A number of intersecting crises are currently ongoing at multiple scales, including increasing inequality, environmental degradation, and climate destabilization, as well as new surges of populism and mounting public health ...