Browsing SINTEF Open by Author "Kyllingstad, Lars Tandle"

Now showing items 1-11 of 11

    • AMADEA - Adaptable Maritime Decision Support Architecture 

      Kyllingstad, Lars Tandle; Skjong, Stian; Ladstein, Jarle; Haugen, Joakim (SINTEF rapport;2023:00409 A, Research report, 2023-03-06)
      Here, we present a reference model for maritime decision support systems. We establish a common terminology for the components and structure of such systems, describe a number of general-purpose components that can be ...

    • Baneplanlegging for ringnotfartøy 

      Haugen, Joakim; Kyllingstad, Lars Tandle (SINTEF rapporter;2021:00578 A, Research report, 2021-06)
      Hovedresultatet fra arbeidspakke 2 i prosjektet "Fangstkontroll i ringnot etter pelagiske arter: Fase 2" er en baneplanleggingsalgoritme for ringnotfartøy. Gitt informasjon om fartøy, stim og omgivelser kan algoritmen ...

    • Development and assessment of novel technologies improving the fishing operation and on board processing with respect to environmental impact and fish quality (DANTEQ) 

      Aursand, Ida Grong; Digre, Hanne; Ladstein, Jarle; Kyllingstad, Lars Tandle; Erikson, Ulf Gøran; Tveit, Guro Møen; Backi, Christoph Josef; Reite, Karl Johan (SINTEF Fiskeri og havbruk reports;A27309, Research report, 2015)
      This is a final report of the project DANTEQ (2010-2015). Through this project new competence and new methods for optimal handling of whitefish onboard with respect to raw material quality and energy efficiency have been ...

    • Distributed Co-Simulation of Maritime Systems and Operations 

      Sadjina, Severin Simon; Kyllingstad, Lars Tandle; Rindarøy, Martin; Skjong, Stian; Æsøy, Vilmar; Pedersen, Eilif (ASME digital collection;OMAE-17-1037, Journal article; Peer reviewed, 2018-05)
      Here, we present the concept of an open virtual prototyping framework (VPF) for maritime systems and operations that enables its users to develop reusable component or subsystem models, and combine them in full-system ...

    • Energy conservation and power bonds in co-simulations: non-iterative adaptive step size control and error estimation 

      Sadjina, Severin Simon; Kyllingstad, Lars Tandle; Skjong, Stian; Pedersen, Eilif (Journal article; Peer reviewed, 2017-07)
      Here, we study the flow of energy between coupled simulators in a co-simulation environment using the concept of power bonds. We introduce energy residuals which are a direct expression of the coupling errors and, hence, ...

    • Fangstkontroll i notfiske etter pelagiske arter: Fase 2 – Faglig sluttrapport 

      Kyllingstad, Lars Tandle; Haugen, Joakim; Tenningen, Maria; Breen, Michael (SINTEF rapporter;2001:00579 A, Research report, 2021-06-01)
      Prosjektet har hatt som hovedmål å bedre fangstkontroll i ringnotfiske gjennom å forske på instrumenter og analysemetoder som gir bedre grunnlag for beslutninger under fangstprosessen. Vi har utviklet: et beslutningsstøttesystem ...

    • lmproVEDO åpen rapport - Åpne resultater fra KMB-prosjektet lmproVEDO 

      Reite, Karl Johan; Ladstein, Jarle; Kyllingstad, Lars Tandle (SINTEF Fiskeri og Havbruk reports;A27720, Research report, 2016-06-24)
      Prosjektet lmproVEDO har hatt som hovedmål å utvikle metoder og verktøy for å redusere energibruken i den norske skipsflåten. Prosjektet har utviklet metoder og verktøy som fokuserer på både drift og design. Resultatene ...

    • SMARTFISH H2020 D5.1: FishData system specification 

      Kyllingstad, Lars Tandle; Reite, Karl Johan; Auran, Per Gunnar (SmartFishH2020;D5.1, Research report, 2019-10-02)
      The goal of SMARTFISH H2020 is to develop, test and promote a suite of high-tech systems for the EU fishing sector, thereby optimising resource efficiency, improving automatic data collection for fish stock assessment, ...

    • SMARTFISH H2020 D5.2: FishData infrastructure (Open access revision) 

      Kyllingstad, Lars Tandle; Reite, Karl-Johan (Research report, 2022-07-12)
      The goal of SMARTFISH H2020 is to develop, test and promote a suite of high-tech systems for the EU fishing sector, thereby optimising resource efficiency, improving automatic data collection for fish stock assessment, ...

    • SMARTFISH H2020 D5.3: FishData analysis (Open access revision) 

      Kyllingstad, Lars Tandle; Reite, Karl-Johan; Haugen, Joakim; Ladstein, Jarle (Research report, 2022-07-12)
      The goal of SMARTFISH H2020 is to develop, test and promote a suite of high-tech systems for the EU fishing sector, thereby optimizing resource efficiency, improving automatic data collection for fish stock assessment, ...

    • Virtual Prototyping of Maritime Systems and Operations: Applications of Distributed Co-Simulations 

      Skjong, Stian; Rindarøy, Martin; Kyllingstad, Lars Tandle; Æsøy, Vilmar; Pedersen, Eilif (Journal article; Peer reviewed, 2017-12-08)
      In this work, we demonstrate the use of co-simulation technology in the maritime industry through four relevant examples of applications based on the outcome of the knowledge-building project Virtual Prototyping of Maritime ...