Now showing items 4552-4571 of 6564

    • Performance Modeling of a Finite Volume Method for the Shallow Water Equations 

      Manne, Jenny Veronika Ip (Master thesis, 2022)
      Oppgaven omhandler en proxy-applikasjon for å beregne grunnvannsligningene gjennom den endelige volummetoden. Vannoverflaten er diskretisert gjennom en triangulering, der kystlinjen til Mehamn brukes til alle tester. ...
    • Performance Modeling of a Load-Balanced FDM Wave Equation Solver on Heterogeneous Clusters 

      Andersen, Tobias Meyer (Master thesis, 2023)
      I denne avhandlingen utvikles en skalerbar implementasjon av endelig differansemetode for å løse den todimensjonale bølgelikningen. Vi utvikler algoritmer som benytter lastbalansering i flere lag for å sikre at ...
    • Performance Modeling of Adaptive Mesh Refinement for the Shallow Water Equations 

      Toft, Ola (Master thesis, 2020)
      I denne avhandlinga studerer me ytings- og skalerings-karakteristikkar ved adaptivt raffinerte endelege differansar-løysingar av gruntvasslikningane. Gruntvasslikningane er eit sett med likningar som blir nytta til å ...
    • Performance modeling of CFD application scalability using co-design methods 

      Valstad, Jørgen; Ragunathan, Janusa (Master thesis, 2018)
      In this thesis, we investigate the performance and scalability of two CFD proxy applications, based on the Lattice Boltzmann Method (LBM) and Smoothed Particle Hydrodynamics (SPH). Two variants of LBM, workshare and task, ...
    • Performance Modeling of Finite Difference Shallow Water Equation Solvers with Variable Domain Geometry 

      Bachmann, Richard (Master thesis, 2021)
      I denne oppgaven undersøker vi metoder som kan brukes til å redusere ubalansert beregningslast, som kan oppstå når man dekomponerer et todimensjonalt domene av endelige differanser med ujevn beregningskostnad. I dette ...
    • Performance Modeling of Heterogeneous Systems 

      Meyer, Jan Christian (Doktoravhandlinger ved NTNU, 1503-8181; 2012:344, Doctoral thesis, 2012)
      As the complexity of parallel computers grows, constraints posed by the construction of larger systems require both greater, and increasingly non-linear, parameter sets to model their behavior realistically. These heterogeneous ...
    • Performance modeling of subdomain discretization techniques for SPH proxy applications 

      Ås, Fredrik (Master thesis, 2021)
      In this study we investigate the performance of two cell-grid discretization schemes for a smoothed-particle hydrodynamics (SPH) proxy application that is applied to the two-dimensional dam-break problem. The Cell+Table ...
    • Performance of machine learning models in estimation of ground reaction forces during balance exergaming 

      Vonstad, Elise Klæbo; Bach, Kerstin; Vereijken, Beatrix; Su, Xiaomeng; Nilsen, Jan Harald (Peer reviewed; Journal article, 2022)
      Background Balance training exercise games (exergames) are a promising tool for reducing fall risk in elderly. Exergames can be used for in-home guided exercise, which greatly increases availability and facilitates ...
    • Performance Study of Random Walk Simulations 

      Mahic, Safurudin (Master thesis, 2009)
      Our research shows that generation of random numbers in the benchmark Random Walk application is a significant fraction of the overall computational time in Random Walk simulations (40%). Furthermore, we show that choice ...
    • Performing reproductions to understand the state of reproducibility in current AI research 

      Mølnå, Martin; Cappelen, Odd (Master thesis, 2018)
      In the last few years, the issue of reproducibility has gained increased attention in many scientific fields, including Artificial Intelligence (AI). Reproducibility of published results is a key concept of the scientific ...
    • Perovskite Color Detectors: Approaching the Efficiency Limit 

      Hossain, Mohammad Ismail; Khan, Haris Ahmad; Kozawa, Masayuki; Qarony, Wayesh; Salleo, Alberto; Hardeberg, Jon Yngve; Fujiwara, Hiroyuki; Tsang, Yuen Hong; Knipp, Dietmar (Peer reviewed; Journal article, 2020)
      Color image sensing by a smartphone or digital camera employs sensor elements with an array of color filters for capturing basic blue, green, and red color information. However, the normalized optical efficiency of such ...
    • Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting 

      Haugsdal, Espen; Aune, Erlend; Ruocco, Massimiliano (Peer reviewed; Journal article, 2023)
      Time series forecasting is an important problem, with many real world applications. Transformer models have been successfully applied to natural language processing tasks, but have received relatively little attention for ...
    • Personal data processing and social mission of actors within the public administration 

      Sandnes, Martin (Master thesis, 2023)
      Den kontinuerlige teknologiutviklingen har gjort det mulig å analysere data i større skala enn noen gang før, noe som gir nye muligheter når det gjelder digitalisering av norsk offentlig forvaltning. Aktørene i den offentlige ...
    • Personal Health Information on Display: Balancing Needs, Usability and Legislative Requirements 

      Gjære, Erlend Andreas; Tøndel, Inger Anne; Line, Maria Bartnes; Andresen, Herbjørn; Toussaint, Pieter Jelle (Journal article; Peer reviewed, 2011)
      Large wall-mounted screens placed at locations where health personnel pass by will assist in self-coordination and improve utilisation of both resources and staff at hospitals. The sensitivity level of the information ...
    • Personal health record as a backbone for primary healthcare in developing countries 

      Kantanka, Nana Sarfo (Master thesis, 2007)
      Increasingly, the ability to improve the efficiency, safety and quality of care is being recognized across the primary health sector. Increased focus on "seamless delivery of care", particularly for those with complex care ...
    • Personal response systems through the prism of students' experiences 

      Mishra, Deepti; Chew, Esyin; Ostrovska, Sofiya; Wong, Jojo (Peer reviewed; Journal article, 2020)
      Personal response systems (PRSs) today offer an opportunity to the field of education in terms of improving teaching and learning outcomes through active engagement in classrooms. The present paper investigates students' ...
    • Personalisation methods in e-learning-A literature review 

      Mikić, Vladimir; Ilić, Miloš; Kopanja, Lazar; Vesin, Boban (Journal article; Peer reviewed, 2022)
      Over the years, personalisation in e-learning has evolved as a promising paradigm for matching learners' specific requirements. Although many literature reviews on personalised e-learning have been conducted, there are ...
    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Peer reviewed; Journal article, 2022)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...
    • Personalization of Mobile Services 

      Asif, Muhammad (Doctoral Theses at NTNU, 1503-8181; 2014-141, Doctoral thesis, 2014)
      The mobile era is well established and the number of smartphone users is showing exponential growth. The capability of smartphones and enabling technologies is also increasing and has opened many possibilities of personalized ...
    • Personalization-based deep hybrid E-learning model for online course recommendation system 

      Subha, S.; Sankaralingam, Baghavathi Priya; Gurusamy, Anitha; Sehar, Sountharrajan; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)
      Deep learning, a subset of artificial intelligence, gives easy way for the analytical and physical tasks to be done automatically. There is a less necessity for human intervention while performing these tasks. Deep hybrid ...