Now showing items 1034-1053 of 2388

    • Improving Domain-Specific Languages by Analyzing, Constraining and Enhancing Metamodels 

      Svendsen, Andreas; Haugen, Øystein; Møller-Pedersen, Birger (Research report, 2011)
      We present an approach for improving domain-specific modeling languages (DSML) by automatically revealing unintended models and subsequently introducing constraints to disallow these. One purpose with domain-specific ...
    • Improving Online Railway Deadlock Detection using a Partial Order Reduction 

      Luteberget, Bjørnar (Peer reviewed; Journal article, 2021)
      Although railway dispatching on large national networks is gradually becoming more computerized, there are still major obstacles to retrofitting (semi-)autonomous control systems. In addition to requiring extensive and ...
    • Improving productivity through corporate hackathons: A multiple case study of two large-scale agile organizations 

      Moe, Nils Brede; Ulfsnes, Rasmus; Stray, Viktoria; Smite, Darja (Peer reviewed; Journal article, 2022)
      Software development companies organize hackathons to encourage innovation. Despite many benefits of hackathons, in large-scale agile organizations where many teams work together, stopping the ongoing work results in a ...
    • Improving Safety by Learning from Automation in Transport Systems with a Focus on Sensemaking and Meaningful Human Control 

      Hoem, Åsa Snilstveit; Johnsen, Stig Ole; Rødseth, Ørnulf Jan; Fjørtoft, Kay Endre; Jenssen, Gunnar; Moen, Terje (Chapter; Peer reviewed, 2021)
      Automated transport systems are deployed in many areas and transport modes. The predominant engineering perspective has been to automate as much as possible and minimize human interaction. However, a balanced integration ...
    • Improving service quality through customer journey analysis 

      Halvorsrud, Ragnhild; Kvale, Knut; Følstad, Asbjørn (Journal article; Peer reviewed, 2016)
      Purpose: The purpose of this paper is to propose a framework based on customer journeys for a structured portrayal of service delivery from the customer’s point of view. The paper also introduces customer journey analysis ...
    • Improving smart grid security through 5G enabled IoT and edge computing 

      Borgaonkar, Ravishankar Bhaskarrao; Tøndel, Inger Anne; Degefa, Merkebu Zenebe; JAATUN, Martin Gilje (Peer reviewed; Journal article, 2021)
      This article investigates and analyzes the security aspects of 5G specifications from the perspective of IoT-based smart grids. As the smart grid requires high-speed and reliable communication to enable real-time grid ...
    • In-field and out-of-file application in 12C ion therapy using fully 3D silicon microdosimeters 

      Tran, Linh T.; Chartier, Lachlan; Bolst, David; Davis, Jeremy; Prokopovich, Dale A.; Pogossov, Alex; Guatelli, Susanna; Reinhard, Mark I.; Petasecca, Marco; Lerch, Michael L.F.; Matsufuji, Naruhiro; Povoli, Marco; Summanwar, Anand; Kok, Angela; Jackson, Michael; Rosenfeld, Anatoly B. (Journal article; Peer reviewed, 2018)
      This paper presents recent development of Silicon on Insulator (SOI) detectors for microdosimetry at the Centre for Medical Radiation Physics (CMRP) at the University of Wollongong. A new CMRP SOI microdosimeter design, ...
    • In-line and non-destructive monitoring of core temperature in sausages during industrial heat treatment by NIR interaction spectroscopy 

      Wold, Jens Petter; O'Farrell, Marion; Tschudi, Jon; Eskildsen, Carl Emil Aae; Andersen, Petter Vejle; Ottestad, Silje (Peer reviewed; Journal article, 2020)
      During industrial heat treatment of food products, the core temperature is a critical control parameter with respect to food quality and in particular food safety. This paper presents a novel prototype system based on ...
    • In-vitro diagnostic platforms of the future; technological possibilities and challenges 

      Furuberg, Liv; Borch, Morten (Chapter, 2009)
      Micro- and nanotechnologies are utilized in the new generation of diagnostic platforms for in vitro analyses. Complex analyses that need a sequence of manual or instrumental process steps in the laboratories can be automated ...
    • Incident Response Management in the oil and gas industry 

      Jaatun, Martin Gilje; Johnsen, Stig Ole; Bartnes, Maria; Longva, Odd Helge; Tøndel, Inger Anne; Albrechtsen, Eirik; Wærø, Irene (, Research report, 2007)
      Incident Response is the process of responding to and handling ICT security related incidents involving infrastructure and data. This has traditionally been a reactive approach, focusing mainly on technical issues. Incident ...
    • Incipient Fault Prediction in Power Quality Monitoring 

      Hoffmann, Volker; Michalowska, Katarzyna; Andresen, Christian Andre; Torsæter, Bendik Nybakk (Journal article; Peer reviewed, 2019)
      European and global power grids are moving towards a Smart Grid architecture. Supporting this, advanced measurement equipment such as PQAs and PMUs are being deployed. These generate vast amounts of data upon which machine ...
    • An inclusive Lifecycle Approach for IoT Devices Trust and Identity Management 

      Loupos, Konstantinos; Niavis, Harris; Michalopoulos, Fotis; Misiakoulis, George; Skarmeta, Antonio F.; García, Jesús; Palomares, Angel; Song, Hui; Dautov, Rustem; Giampaolo, Francesca; Mancilla, Rosella; Costantino, Francesca; Van Landuyt, Dimitri; Michiels, Sam; More, Stefan; Xenakis, Christos; Bampatsikos, Michail; Politis, Ilias; Krilakis, Konstantinos; Syvridis, Dimitris (Chapter, 2023)
      ERATOSTHENES is an EC, co-funded, research project strongly considering modern security challenges in the domain of Internet of Things in mind of their huge penetration into our day to day lives. There are a series of ...
    • Incorrect results in software engineering experiments: How to improve research practices 

      Jørgensen, Magne; Dybå, Tore; Liestøl, Knut; Sjøberg, Dag (Journal article; Peer reviewed, 2016)
      Context The trustworthiness of research results is a growing concern in many empirical disciplines. Aim The goals of this paper are to assess how much the trustworthiness of results reported in software engineering experiments ...
    • Increasing the speed, scope, and level of decarbonization for meeting the Net-zero 2050 challenge. Implications for sustainability transitions research 

      Andersen, Allan Dahl; Bjørgum, Øyvind; Coenen, Lars Martel Antoine; Dale, Ragnhild Freng; Geels, Frank W.; Gonzalez, Jakoba Sraml; Hanson, Jens; Korsnes, Marius; Linnerud, Kristin; Mäkitie, Tuukka; Nordholm, Amber Joy; Ryghaug, Marianne; Skjølsvold, Tomas Moe; Steen, Markus; Walnum, Hans Jakob; Wiebe, Kirsten Svenja (Research report, 2021)
      This viewpoint identifies three interrelated transition imperatives to achieve net-zero emissions by 2050 – increasing the speed, scope and level of decarbonization. First, the urgency of climate action places temporality ...
    • Increasing workload in Norwegian general practice – a qualitative study 

      Svedahl, Ellen Rabben; Pape, Kristine; Toch-Marquardt, Marlen; Skarshaug, Lena Janita; Kaspersen, Silje Lill; Bjørngaard, Johan Håkon; Austad, Bjarne (Journal article; Peer reviewed, 2019)
      Background General practitioners (GPs) play a key role in securing and coordinating appropriate use of healthcare services, by providing primary and preventive healthcare and by acting as gatekeepers for secondary healthcare ...
    • An Incrementally Deployed Swarm of MAVs for Localization Using Ultra-Wideband 

      Natter, Dominik; Ening, Klaus; Paliotta, Claudio (Chapter, 2022)
      Knowing the position of a moving target can be crucial, for example when localizing a first responder in an emergency scenario. In recent years, ultra wideband (UWB) has gained a lot of attention due to its localization ...
    • Incrementally updating the high average-utility patterns with pre-large concept 

      Lin, Jerry Chun-Wei; Pirouz, Matin; Djenouri, Youcef; Cheng, Chien-Fu; Ahmed, Usman (Peer reviewed; Journal article, 2020)
      High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. ...
    • Individually tailored self-management app-based intervention (selfBACK) versus a self-management web-based intervention (e-Help) or usual care in people with low back and neck pain referred to secondary care: protocol for a multiarm randomised clinical trial 

      Marcuzzi, Anna; Bach, Kerstin; Nordstoga, Anne Lovise; Bertheussen, Gro Falkener; Ashikhmin, Ilya; Boldermo, Nora; Kvarner, Else-Norun; Nilsen, Tom Ivar Lund; Marchand, Gunn Hege; Ose, Solveig Osborg; Aasdahl, Lene; Kaspersen, Silje Lill; Bardal, Ellen Marie; Børke, Janne-Birgitte; Mork, Paul Jarle; Gismervik, Sigmund Østgård (Peer reviewed; Journal article, 2021)
      Introduction: Low back pain (LBP) and neck pain (NP) are common and costly conditions. Self-management is a key element in the care of persistent LBP and NP. Artificial intelligence can be used to support and tailor ...
    • Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance 

      Vermesan, Ovidiu; Pétrot, Frédéric; Coppola, Marcello; Schneider, Mathias; Höß, Alfred (Chapter, 2022)
      This book lays down the technological foundation for and introduces key artificial intelligence (AI) concepts and technologies for the digitising industry. While this chapter does not exhaustively cover all types of AI, ...
    • Industrial Aspects and Literature Survey: Combined Inventory Management and Routing 

      Andersson, Henrik; Hoff, Arild; Christiansen, Marielle; Hasle, Geir; Løkketangen, Arne (Research report, 2008)
      This paper describes industrial aspects of combined inventory management and routing, and gives a comprehensive literature review of the current state of the research. First there is a classification of types of supply ...