Blar i utgivelsesdato Doktorgradsavhandlinger (Fakultet for ingeniørvitenskap og teknologi)

Viser treff 21-25 av 25

    • Acoustical properties of solid-liquid composites and related computational problems 

      Karzhou, Andrei (Doctoral thesis; Doktorgradsavhandling, 2023-07-05)
      The thesis provides a study of acoustical performance and characterisation of solid-liquid composites. We address both experimental and numerical aspects of fluid-solid interaction problems. In the experimental part, we perform a comparative study of the sound damping properties of perforated plates with viscoelastic inclusions, such as polyurethane and soap emulsified with oil grease lubricant, ...

    • Capacitive power transfer for maritime electrical charging applications 

      Al-Sallami, Hussein (Doctoral thesis; Doktorgradsavhandling, 2023-07-07)
      Wireless power transfer can provide the convenience of automatic charging while the ships or maritime vehicles are docking, mooring, or in a sailing maneuver. It can address the challenges facing conventional wired charging technologies, including long charging and queuing time, wear and tear of the physical contacts, handling cables and wires, and electric shock hazards. Capacitive power transfer ...

    • Voltage Control in Smart Distribution Network with High Integration of DERs 

      Wagle, Raju (Doctoral thesis; Doktorgradsavhandling, 2023-12-08)
      The thesis aims to address research questions of how the high integration of distributed energy resources (DER) influences the voltage profile of the distribution network and how the smart converters in DERs can be utilized to address voltage violations. For this purpose, the thesis investigates the coordinated active and reactive power control in smart converters to mitigate voltage violations. To ...

    • Intelligent self- and reconfigurable manufacturing system 

      Arnarson, Halldor (Doctoral thesis; Doktorgradsavhandling, 2023-12-12)
      Over the past few years, the market has shifted away from mass production towards mass customization and personalized production. This shift has made it necessary for manufacturing companies to change their manufacturing line more frequently, which can be both expensive and time-consuming. To overcome this challenge, reconfigurable manufacturing systems (RMS) have been proposed as a solution. However, ...

    • Enhancing AI Systems through Representative Dataset, Transfer Learning, and Embedded Vision 

      Patil, Ravindra Rajaram (Doctoral thesis; Doktorgradsavhandling, 2024-02-28)
      <p>Artificial intelligence (AI) encompasses a range of techniques that enable machines to perceive, learn, and make intelligent decisions and it has emerged as transformative technology in many applications. This thesis presents the development of an AI model, focusing on the significance of the primary representative dataset and the effectiveness of transfer learning and fine-tuning techniques for ...