Now showing items 41-60 of 163

    • Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes 

      Domben, Erik Seip; Sharma, Puneet; Mann, Ingrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)
      Polar mesospheric summer echoes (PMSE) are radar echoes that are observed in the mesosphere during the arctic summer months in the polar regions. By studying PMSE, researchers can gain insights into physical and chemical processes that occur in the upper atmosphere—specifically, in the 80 to 90 km altitude range. In this paper, we employ fully convolutional networks such as UNET and UNET++ for ...
    • Does the exponential Wells–Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose–response models based on human challenge data 

      Aganovic, Amar; Kadric, Edin (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-15)
      The risk assessments during the COVID-19 pandemic were primarily based on dose–response models derived from the pooled datasets for infection of animals susceptible to SARS-CoV. Despite similarities, differences in susceptibility between animals and humans exist for respiratory viruses. The two most commonly used dose–response models for calculating the infection risk of respiratory viruses are the ...
    • Guest Lecture on Thermography 

      Khawaja, Hassan (Conference object; Konferansebidrag, 2023-08-08)
    • Comparative Evaluation of Four RANS Turbulence Models for Aerosol Dispersion from a Cough 

      Owolabi, Jibola Obafemi; Khawaja, Hassan; Aganovic, Amar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-16)
      The study of aerosol dispersion in indoor environments is essential to understanding and mitigating airborne virus transmission, such as SARS-CoV-2. Computational Fluid Dynamics (CFD) has emerged as a valuable tool for investigating aerosol dispersion, providing an alternative to costly experimental methods. In this study, we investigated the performance of four (4) Reynolds-averaged Navier-Stokes ...
    • Multiphysics Modelling of Powder Coating of U-Profiles: Towards Simulation-based Optimization of Key-Performance Attributes by Variation of Powder-Parameters 

      Boiger, Gernot; Siyahhan, Bercan; Soleiman Fallah, Arash; Khawaja, Hassan; Moatamedi, Mojtaba (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-13)
      Multiphysics simulation software has been developed to predict the key performance attributes of industrial powder coating applications based on applied process-parameter settings. The software is a Eulerian-Lagrangian finite-volume Multiphysics solver based on OpenFOAM, capable of modelling mass transfer effects between powder-coating pistols and electrically grounded metallic substrates. It considers ...
    • Statistical prediction and sensitivity analysis of kinetic rate constants for efficient thermal valorization of plastic waste into combustible oil and gases 

      Irfan, Muhammad; Un Nabi, Rao Adeel; Hussain, Hammad; Naz, Yasin; Shukrullah, Shazia; Khawaja, Hassan; Rahman, Saifur; Farid, Usman (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-06)
      Sensitivity analyses of rate constants for chemical kinetics of the pyrolysis reaction are essential for the efficient valorization of plastic waste into combustible liquids and gases. Finding the role of individual rate constants can provide important information on the process conditions, quality, and quantity of the pyrolysis products. The reaction temperature and time can also be reduced through ...
    • Interactive teaching in an international preparatory language program; promoting some of the 21st century skills 

      Takamine, Kaori; Eilertsen, Randi; Holbø, Marianne; Dybdahl, Tone Harr (Conference object; Konferansebidrag, 2022-10)
      As the globalization has intensified, the future of engineering education may require its students to enhance the 21st century skills such as critical thinking, collaboration and communication skills (Riemer 2007, Gradin and Hirleman, 2009). In harmony with this, preparatory language programs for engineering studies must adopt educational methods that help students to cultivate such key skills. ...
    • Supporting students to prepare for higher education studies: Enhancing English writing skills with formative peer assessment 

      Takamine, Kaori (Conference object; Konferansebidrag, 2022-10)
      Studies report that writing skills of many beginner students in Norwegian higher education institutions are not adequately developed, showing a lack of critical thinking and referencing technique and a poor requisite language ability (Lødding and Aamodt 2015, Wollcheid et al. 2020). Literature also shows that a traditional lecture setting does not help students to enhance their learning autonomy ...
    • Hvordan vi motiverer våre internasjonale ingeniørstudenter 

      Takamine, Kaori; Eilertsen, Randi; Dybdahl, Tone Harr; Holbø, Marianne (Conference object; Konferansebidrag, 2023)
    • Developing formative peer assessment in writing classes: focus on students’ perceptions 

      Takamine, Kaori (Conference object; Konferansebidrag, 2023-03)
      The literature of higher education has shown that formative peer assessment (FPA) promotes students’ learning across disciplines (Topping, 1998, Lynch et al. 2012, Li et al. 2019, among others). Despite the solid reported benefits, studies on an effective implementation of FPA are still limited in the literature (Nicol, Thomson, and Breslin 2014, Wanner and Palmer, 2018). A debilitating factor ...
    • Havforskningsinstituttets rådgivning for menneskeskapt støy i havet - Kunnskapsgrunnlag, vurderinger og råd for 2023 

      Sivle, Lise Doksæter; Forland, Tonje Nesse; de Jong, Karen; Zhang, Guosong; Kutti, Tina; Durif, Caroline; Wehde, Henning; Grimsbø, Endre (Research report; Forskningsrapport, 2023)
      Havforskningsinstituttet gir råd for alle operasjoner til havs som involverer bruk av lydkilder, samt elektromagnetiske kilder som kan påvirke marine økosystemer. Dette inkluderer vitenskapelige undersøkelser, utbygging og sprenging i sjø, seismiske og elektromagnetiske undersøkelser i forbindelse med petroleumsvirksomhet og utbygging og drift av vindkraftanlegg til havs. Denne rapporten er en ...
    • Understanding Physical Properties of Fresh Water and Marine Ice using Multiphysics Modelling and Infrared Thermography 

      Khawaja, Hassan (Conference object; Konferansebidrag, 2023)
      Ice has unique physical properties, which tend to vary depending on how, where, and when it forms. In the presented work, we looked deeper into various physical properties of ice. In one of the studies, we focused on studying the ice adhesion on two types of polymers; polyurethane (PU) and polyvinyl-chloride (PVC). It revealed interesting behaviors with a viable potential for roads/highways coated ...
    • Sensitivity Analysis of Thermal Degradation of Plastic Waste Using Statistically Assumed Exponential Factors and Activation Energies 

      Un Nabi, Rao Adeel; Hussain, Hammad; Naz, Yasin; Shukrullah, Shazia; Khawaja, Hassan; Irfan, Muhammad; Rahman, Saifur; Jazem Ghanim, Abdulnour Ali (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-04)
      The rise in the production of plastic waste has prompted the exploration of various recovery options instead of landfilling, burning, and other unethical ways of decomposing. The experimentally generated rate constants for the thermal processing of plastic waste do not yield enough liquid fuels and gases for commercial-scale usage. It is imperative to predict kinetic rate constants statistically ...
    • Multiphysics Simulation of Particle-Surface Interaction and its Effect on Powder Patterns and Process Optimization 

      Siyahhan, Bercan; Boiger, Gernot; Fallah, Arash Soleiman; Khawaja, Hassan; Moatamedi, Mojtaba (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-29)
      In industrial processes, powder coating is widely utilized to attain functional or aesthetic surface properties on manufactured parts. A Eulerian-Lagrangian Multiphysics solver has been developed within the OpenFOAM framework in order to simulate and optimize such processes with regards to coating efficiency and homogeneity. In the scope of this study, the powder particle-substrate and particle-particle ...
    • Data Processing Scheme for Laser Spot Thermography Applied for Nondestructive Testing of Composite Laminates 

      Roemer, Jakub; Khawaja, Hassan; Moatamedi, Mojtaba; Pieczonka, Lukasz (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-08)
      This paper proposes a data processing scheme for laser spot thermography (LST) applied for nondestructive testing (NDT) of composite laminates. The LST involves recording multiple thermographic sequences, resulting in large amounts of data that have to be processed cumulatively to evaluate the diagnostic information. This paper demonstrates a new data processing scheme based on parameterization and ...
    • Numerical sensitivity analysis of temperature-dependent reaction rate constants for optimized thermal conversion of high-density plastic waste into combustible fuels 

      Irfan, Muhammad; Un Nabi, Rao Adeel; Hussain, Hammad; Naz, Yasin; Shukrullah, Shazia; Khawaja, Hassan; Rahman, Saifur; Althobiani, Faisal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-22)
      The use of experimental rate constants for producing a high yield of liquid fuels from the pyrolysis of plastic waste is not widely accepted owing to a lack of compatibility between the different kinetic rate constants responsible for successful conversion reactions. In R software, the Arrhenius law can forecast the ideal combination of reaction rate constants and frequency factors and then perform ...
    • UA and pinch point temperature difference modeling — Finding the best heat exchanger schemes 

      Brodal, Eivind; Jackson, Steven; Hailu, Getu (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-28)
      Process models using simplified heat exchanger (HE) models are often analyzed using methods based on derivatives or optimization procedures, where even small numerical errors can cause algorithms to fail. This article explores the use of numerical approximations for calculating pinch temperature and UA-value, including novel high-order polynomial methods using equidistant and Chebyshev grids. The ...
    • New dose-response model and SARS-CoV-2 quanta emission rates for calculating the long-range airborne infection risk 

      Aganovic, Amar; Cao, Guangyu; Wargocki, Pawel; Kurnitski, Jarek (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-14)
      Predictive models for airborne infection risk have been extensively used during the pandemic, but there is yet still no consensus on a common approach, which may create misinterpretation of results among public health experts and engineers designing building ventilation. In this study we applied the latest data on viral load, aerosol droplet sizes and removal mechanisms to improve the Wells Riley ...
    • Response Surface Methodology Analysis of Pyrolysis Reaction Rate Constants for Predicting Efficient Conversion of Bulk Plastic Waste into Oil and Gaseous Fuels 

      Irfan, Muhammad; Un Nabi, Rao Adeel; Hussain, Hammad; Naz, Yasin; Shukrullah, Shazia; Khawaja, Hassan; Rahman, Saifur; Ghanim, Abdulnoor; Kruszelnicka, Izabela; Ginter-Kramarczyk, Dobrochna; Legutko, Stanisław (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-17)
      The growing production of plastic waste and improper dumping after use has become a worldwide challenge. This waste is a substantial source of petroleum and can be effectively converted into pyrolytic oil and other useful products. A statistical prediction of the rate constants is essential for optimizing pyrolysis process parameters, such as activation energy (Ea), frequency factor (Ao), temperature ...
    • Applying the response surface methodology to predict the energy retrofit performance of the TABULA residential building stock 

      Aganovic, Amar; Kadric, Edin; Kadric, Dzana; Delalic-Gurda, Berina; Jackson, Steven (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-28)
      Recent advances in computing software have enabled the development of calibrated building energy simulations tools that allow retrofit-related analysis including optimization and energy-efficient building design. However, to create a national energy and climate plan, using these tools may imply a great deal of effort (time, cost, and human resources) to carry out simulations for the full set of ...