Now showing items 1-20 of 923

    • Revisiting the development trajectory of parallel machine scheduling 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Xin-Yi (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-23)
      The research on the Parallel Machine Scheduling Problem (PMSP) has undergone significant development. The most recent comprehensive review of published studies dates back to early 2001. This article presents an algorithmic review of PMSPs, using Main Path Analysis (MPA) to identify seminal knowledge diffusion and development trajectories. This research also sheds light on the less tangible aspects ...
    • Sea Spray Icing Prediction: Integrating Experiments, Machine Learning, and Computational Fluid Dynamics 

      Deshpande, Sujay (Doctoral thesis; Doktorgradsavhandling, 2024-05-27)
      <p>Ice accretion is challenging for maritime and offshore operations in the Polar regions. Activities related to tourism, oil and gas exploration, fishing, and offshore wind energy are increasing in the arctic. Ice accretion on vessels and offshore structures pose a threat to structural integrity, vessel stability, and personnel safety in outdoor working environments. Freezing sea spray is the largest ...
    • Evaluering av optimal erstatning av naturlig tilslag med resirkulert betongtilslag for å oppnå tilstrekkelig bestandighet 

      Sjåfjell, Jørgen Johnsen (Master thesis; Mastergradsoppgave, 2021-05-20)
      Bygg- og anleggsindustrien er en stor bidragsyter til global oppvarming grunnet produksjon av bygningsmateriale, transport samt bygnings- og rivningsaktivitet. Materialets kretsløp og sirkulær økonomi kan drastisk redusere forurensning og etterspørselen av naturlige ressurser. Bruk av resirkulert tilslag (RCA) er en av mulighetene til hvordan en kan redusere forbruket av naturlige ressurser for ...
    • Besparelse med bruk av SD-anlegg 

      Normann, Ingjerd Pettersen (Master thesis; Mastergradsoppgave, 2021-05-14)
      Denne oppgaven er en studie av hvordan SD-anlegg kan gi besparelser i både eksisterende og nye bygg. Rapporten ser på besparelser i form av energi og andre potensielle besparelser, som hvor mye tid et SD-anlegg frigir i løpet av en arbeidsdag og organisering av ferieavvikling. Innledningsvis er det gjort en gjennomgang av teori som er relevant for oppgaven, med fokus på SD-anleggets hierarki, ...
    • DC-DC Converter For Fuel Cell (Control Strategy, Voltage Curve, Optimization, Converter Type). Current-fed Full-bridge Isolated DC-DC Converter With An Active Clamp Circuit For Fuel Cell Application 

      Shojaee, Sanaz (Master thesis; Mastergradsoppgave, 2022-05-15)
      This thesis investigates one of the most favorable converters for integrating fuel cells into a DC microgrid. A current-fed full-bridge isolated DC-DC converter has advantages such as high voltage conversion ratio, low switches’ losses, and low input current ripple which make it one of the best choices for Fuel cells (FC). This converter transfer power to the load through the leakage inductance which ...
    • Technology transfer framework review for easy Cobot adoption by SMEs 

      Nyamadi, Caleb (Master thesis; Mastergradsoppgave, 2023-05-15)
      Collaborative industrial Robots (Cobots) were introduced as an advancement to traditional industrial Robots. Some advantages that were incorporated in Cobots included the ease of human interaction, safer working conditions and considerable smaller sizes. However, most Small & Medium Enterprises (SMEs) in Norway are not convinced of the merits of adopting these Cobots into their operations. This ...
    • Uncertain Remanufacturing Reverse Logistics Network Design in Industry 5.0: Opportunities and Challenges of Digitalization 

      Yu, Hao; Sun, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-10)
      Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the functionality of waste products. The challenge in planning an effective remanufacturing reverse logistics system lies in the uncertainties from various sources. In addition, the evolving industrial landscape in Industry 5.0 necessitates adaptability to technological advancements. This paper proposes an ...
    • Experiments With Sea Spray Icing: Investigation of Icing Rates 

      Deshpande, Sujay; Sæterdal, Ane Solbakken; Sundsbø, Per-Arne (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-11)
      Sea spray icing on ships and marine structures depends on a complex correlation between metocean parameters and vessel characteristics. Sea spray icing rates have mostly been investigated and given as a function of general metocean parameters. The existing models suffer from the lack of experimental data. More experimental data are required for better prediction models and understanding of the icing ...
    • Computer-Aided Optimisation in Additive Manufacturing Processes A State of the Art Survey 

      Henriksen, Tanja Emilie; Brustad, Tanita Fossli; Dalmo, Rune; Pedersen, Aleksander (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-15)
      Additive manufacturing (AM) is a field with both industrial and academic significance. Computer-aided optimisation has brought advances to this field over the years, but challenges and areas of improvement still remain. Design to execution inaccuracies, void formation, material anisotropy, and surface quality are examples of remaining challenges. These challenges can be improved via some of the ...
    • Exploring the Interconnected Realms of Multiphysics: Insights from My Research Journey 

      Khawaja, Hassan Abbas (Conference object; Konferansebidrag, 2024-04-02)
      In this talk, I present an in-depth exploration of multiphysics—a domain where physical processes or phenomena operate simultaneously and interact. My research encompasses the development and utilization of computational models to solve complex systems where interdependent physical processes coexist. From the fluid-structure interactions that play a critical role in various engineering applications ...
    • Multi-agent Reinforcement Learning for Structured Symbolic Music Generation 

      Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-07-12)
      Generating structured music using deep learning methods with symbolic representation is challenging due to the complex relationships between musical elements that define a musical composition. Symbolic representation of music, such as MIDI or sheet music, can help overcome some of these challenges by encoding the music in a format that allows manipulation and analysis. However, the symbolic ...
    • Some New weak-(Hp-Lp) Type Inequalities For Weighted Maximal Operators Of Fejér Means Of Walsh–Fourier Series 

      Baramidze, Davit; Tephnadze, G. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-13)
      We introduce some new weighted maximal operators of the Fejér means of the Walsh–Fourier series. We prove that for some "optimal" weights these new operators are bounded from the martingale Hardy space H<sub>p</sub>(G) to the space weak-L<sub>p</sub>(G), for 0 <p<1/2. Moreover, we also prove sharpness of this result. As a consequence we obtain some new and well-known results.
    • Analysis of civil engineering infrastructure in Norway with solutions based on structural health monitoring and artificial intelligence 

      Tangrand, Kristoffer Meyer; Singh, Harpal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-19)
      Ageing civil infrastructures such as bridges and building causes many consequences from practical and economical point of view. Especially in northern Norway, the impact of extreme arctic conditions is intense on civil engineering infrastructures (see \cite{Singh:2022:hologaland_Bridge}). With the increased loading due to the prosperous seafood industry and increased cargo activity is putting ...
    • Academic and research collaboration between the IVT departments 

      Khawaja, Hassan Abbas (Conference object; Konferansebidrag, 2024)
    • Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-01-26)
      With the rapid technological advancement and innovation in Industry 4.0/5.0, digitalization has become the mainstream that transforms the paradigm of many industries, businesses, and services. In this regard, AI-enabled chatbots have been increasingly adopted by many companies for providing customer services instead of human agents. On the one hand, the use of AI-enabled chatbots provides opportunities ...
    • A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-09-14)
      The rapid development of information and communication technology (ICT) and digitalization in the Industry 5.0 era have opened up new opportunities for reverse logistics management to become digitalized, smarter, more sustainable, and simplified by incorporating disruptive technologies, e.g., Internet-of-things (IoT), artificial intelligence (AI), big data analysis, simulation, blockchain, etc. ...
    • A General Framework for Epidemic Logistics Management 

      Maharjan, Sujan; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-01-26)
      Human history is full of epidemic outbreaks that occur on a regular basis. The past epidemics have resulted in millions of deaths and economic recessions. With the increasing frequency of human-induced epidemics in recent years, effective and efficient epidemic logistics management has become vital for successfully containing the spread of the disease as well as preventing societal disruption, ...
    • Experimental Investigation of Deicing with Seawater 

      Sæterdal, Ane Solbakken; Visich, Aleksandra; Deshpande, Sujay; Sundsbø, Per-Arne (Chapter; Bokkapittel, 2023-06-19)
      Increased traffic and interest in arctic regions necessitate measures to ensure the safety and functionality of vessels. Sea-spray icing is one of the significant hazards for small- and medium-sized vessels in polar waters. Ice cover can restrict access to essential parts of a vessel and compromise its stability. Existing deicing measures, such as heat or chemical application and manual ice removal, ...
    • Non-directional Overcurrent Protection Relay Testing Using Virtual Hardware-in-the-Loop Device 

      Pham, Le Nam Hai; Wagle, Raju; Gonzalez-Longatt, Francisco; Acosta Montalvo, Martha Nohemi (Chapter; Bokkapittel, 2023-05-17)
      Protective relays are an integral part of the power grid, making it reliable and secure against abnormal conditions. Hardware-in-the-Loop (HIL) can be employed to test and validate digital protective relay devices in the real-time simulation comprising hardware and software before actual implementation. However, the HIL technique requires a complex and high-cost technical environment consisting of ...
    • A Convergent Numerical Algorithm for α-Dissipative Solutions of the Hunter–Saxton Equation 

      Christiansen, Thomas; Grunert, Katrin; Nordli, Anders Samuelsen; Solem, Susanne (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-02)
      A convergent numerical method for α -dissipative solutions of the Hunter–Saxton equation is derived. The method is based on applying a tailor-made projection operator to the initial data, and then solving exactly using the generalized method of characteristics. The projection step is the only step that introduces any approximation error. It is therefore crucial that its design ensures not only a ...