Now showing items 161-180 of 527

    • Resiliens og Sårbarhet i Norske Smart Byer: Hvordan smart byer påvirker norsk transportsektor 

      Pollen, Stian Wachelin (Master thesis; Mastergradsoppgave, 2022-06-22)
      Sammendrag Denne oppgaven undersøker hvordan konseptet Smart City eller smart by påvirker samfunnssikkerheten i Norge. Smart by er et konsept som har fått stor internasjonal oppmerksomhet de senere årene. Konseptet er utviklet i stor del som et for å møte de klimautfordringene vi står ovenfor. Derfor ønsket jeg med denne oppgaven å undersøke hvordan denne trenden innenfor byutviklingen med fokus ...
    • Cluster-based ensemble learning for wind power modeling from meteorological wind data 

      Chen, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-17)
      Reliable and efficient power modeling from meteorological wind data is vital for optimal implementation and monitoring of wind energy, and it is important for understanding turbine control, farm operational optimization, and grid load balance. Based on the idea that similar wind conditions lead to similar wind powers; this paper constructs a modeling scheme that orderly integrates three types of ...
    • A rather wild imagination: who is and who is not a migrant in the Czech media and society? 

      Bartoszewicz, Monika Gabriela; Eibl, Otto (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-06)
      This paper focuses on migrants and migration in the context of the Czech Republic, an ethnically and nationally homogeneous country without significant migration experience. Despite this fact, the issue of migration became very prominent in 2015 and has been an integral part of Czech political and public discourse since then. Although the topic has attracted scholarly interest, but the reflection ...
    • Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy 

      Chen, Hao; Zhang, Qixia; Birkelund, Yngve (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-22)
      The quality of wind data from the numerical weather prediction significantly influences the accuracy of wind power forecasting systems for wind parks. Therefore, an in-depth investigation of these wind data themselves is essential to improve wind power generation efficiency and maintain grid reliability. This paper proposes a novel framework based on machine learning for concurrently analyzing and ...
    • Seasonal and Spatial Variability of Atmospheric Emissions from Shipping along the Northern Sea Route 

      Figenschau, Nikolai; Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-25)
      Large seasonal and spatial variabilities in Arctic shipping and its associated emissions are expected in the future, due to continuous sea ice decline. This study collected ship traffic data and the associated emissions of carbon dioxide (CO2), nitrogen oxides (NOx), sulfur dioxide (SO2), particulate matter (PM), and black carbon (BC) along the Northern Sea Route (NSR) in 2013. The aim is to analyze ...
    • An experimental analysis of the impact of thermal protective immersion suit and angle of heel on individual walking speeds 

      Azizpour, Hooshyar; Galea, Edwin R.; Erland, Sveinung; Batalden, Bjørn-Morten; Deere, Steven; Oltedal, Helle Asgjerd (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-16)
      Background: Incarcerated individuals have poor mental health compared to the general population. Social support has a benefcial efect on mental health. The bufering model proposes that social support facilitates coping under stressful conditions, while the main efects model suggests that belonging to social networks and having positive social interactions are benefcial for mental health. Prisons ...
    • Data driven control based on Deep Q-Network algorithm for heading control and path following of a ship in calm water and waves 

      Sivaraj, Sivaraman; Rajendran, Suresh; Perera, Lokukaluge Prasad Channa (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-06)
      A reinforcement learning algorithm based on Deep Q-Networks (DQN) is used for the path following and heading control of a ship in calm water and waves. The rudder action of the ship is selected based on the developed DQN model. The spatial positions, linear velocities, yaw rate, Heading Error (HE) and Cross Track Error (CTE) represent the state-space, and a set of rudder angles represents the action ...
    • Snow detection on antenna radomes using signal processing 

      Fauske, Åse Nordahl (Master thesis; Mastergradsoppgave, 2022-06-25)
      Radomes are dome-shaped covers that protect the antenna from the climate, such as rain, wind, sunlight, and snow. Even though the radomes protect the antenna from snow and ice, it does not prevent snow and ice from building up on the radome. When snow and ice build up enough on the radome, the signal passing through it loses strength. This project tries to detect snow and ice build-up on antenna ...
    • Vessel operations in relation to new types of offshore aquaculture facilities, and weather windows in exposed areas 

      Kristiansen, Elise (Master thesis; Mastergradsoppgave, 2022-06-01)
      The marine aquaculture industry is expanding the production into new sea areas. The technology is advancing, and offshore aquaculture facilities are being developed. The offshore developments can offer significant benefits that applies to the economy, optimization of operations and production, as well as minimizing the impact on the coastal areas. Structural and operation procedures need to be ...
    • Implementation of Virtual Reality (VR) simulators in Norwegian maritime pilotage training 

      Weissenberger, Finlo (Master thesis; Mastergradsoppgave, 2022-06-01)
      With millions of tons of cargo transported to and from Norwegian ports every year, the maritime waterways in Norway are heavily used. The high consequences of accidents and mishaps require well-trained seafarers and safe operating practices. The normal crews of vessels are supported by the Norwegian Coastal Administration (NCA) pilot service when operating vessels not meeting specific ...
    • Investigation of UAV related incidents and accidents 

      Haugse, Sigurd (Master thesis; Mastergradsoppgave, 2022-05-30)
      To this day, there is a lack of research on unmanned aerial vehicle (drone) related incidents and accidents. Knowing why these happen, what potential outcomes they may have and how to avoid them from occurring, can be crucial. There is, furthermore, potentially a lack of transparency in the unmanned aviation industry, regarding reporting of incidents. In order to prepare conclusions within one set ...
    • Klimasatsing i kystfiskehavner: En analyse av energibruk på fangst- og mottaksleddet i kystfiskeflåten 

      Høyli, Randulf; Aarsæther, Karl Gunnar (Research report; Forskningsrapport, 2022-03-01)
      Analyse av energibruk i fangst- og mottaksleddet viser at drivstofforbruk i flåteleddet representerer den største andelen av totalt energibruk for produksjon av ferskfisk, tørrfisk og frossenfisk. Vi finner at fartøy under 15 meter i gjennomsnitt driver mest drivstoffeffektivt fiske, sammenlignet med den øvrige kystfiskeflåten i Flakstad kommune. Vi estimerer at flåtens CO2-utslipp er økende fra ...
    • Building Organizational Resilience Through Organizational Learning: A Systematic Review 

      Evenseth, Lise Lotte; Sydnes, Maria; Gausdal, Anne Haugen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-25)
      With organizational environments becoming increasingly complex and volatile, the concept of “organizational resilience” has become the “new normal”. Organizational resilience is a complex and multidimensional concept which builds on the myriad of capabilities that an organization develops during its lifecycle. As learning is an inherent and essential part of these developments, it has become a ...
    • Electric Aviation: A review of concepts and enabling technologies 

      Adu-Gyamfi, Bright Appiah; Good, Clara (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-29)
      Electric aviation has become an important area of research following the rapid growth of the aviation industry, which directly corresponds to significant growth in aviation-related emissions. Despite the promising emission reduction potential of electric airplanes, several technological and regulatory challenges restrict the realization of this new regime of sustainable air transport. Significant ...
    • Leadership styles and safety performance in high-risk industries: a systematic review 

      Ta, Thi Diem My; Kim, Tae-Eun; Gausdal, Anne Haugen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-03)
      The importance of leadership on safety has been well acknowledged and studied for many years in various high-risk industries. This paper aims at (1) synthesising the existing safety leadership research by performing a systematic literature review to gain an overview of the relationship between various leadership styles and safety performance in high-risk industries with a main focus on health and ...
    • A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy 

      Chen, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-30)
      Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, ...
    • Preventing Atmospheric Icing in Aviation: Passive Repulsion of Super Cooled Water Droplets through Hydrophobic Nanocomposites 

      Hobitz, Gøran Frantzen (Master thesis; Mastergradsoppgave, 2020-07-13)
      The aviation industry already consists of a complex system of strict regulations related to operation and maintenance, where severe weather conditions further challenge flight operations. Recent research has shown that most aircraft accidents are caused by icing externally, where severe icing conditions lead to the critical degradation of the aerodynamic effectiveness – increasing the stall speed. ...
    • Changes in life expectancy and disease burden in Norway, 1990–2019: an analysis of the Global Burden of Disease Study 2019 

      Clarsen, Benjamin Matthew; Nylenna, Magne; Klitkou, Søren Toksvig; Vollset, Stein Emil; Baravelli, Carl Michael; Bølling, Anette Kocbach; Aasvang, Gunn Marit; Sulo, Gerhard; Naghavi, Mohsen; Pasvic, Masa; Asaduzzaman, Muhammad; Bjørge, Tone; Eggen, Anne Elise; Eikemo, Terje Andreas; Ellingsen, Christian Lycke; Haaland, Øystein Ariansen; Hailu, Alemayehu; Hassan, Shoaib; Hay, Simon I.; Kisa, Adnan; Juliusson, Pétur Benedikt; Månsson, Johan; Mekonnen, Teferi; Kisa, Sezer; Murray, Christopher J L; Norheim, Ole Frithjof; Ottersen, Trygve; Sagoe, Dominic (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07)
      <p><b> Background</b> Geographical differences in health outcomes are reported in many countries. Norway has led an active policy aiming for regional balance since the 1970s. Using data from the Global Burden of Disease Study (GBD) 2019, we examined regional differences in development and current state of health across Norwegian counties. <p><b>Methods</b> Data for life expectancy, healthy ...
    • Securitising the Future: Dystopian Migration Discourses in Poland and the Czech Republic 

      Bartoszewicz, Monika Gabriela; Eibl, Otto; El Ghamari, Magdalena (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-09)
      This paper presents findings of a comparative study carried out in Poland and the Czech Republic, which analysed the societal attitudes towards migration and migrants in Europe. Our research shows that the reaction to migration in Poland and the Czech Republic constitutes a reversed (bottom up) securitisation. Moreover, contrary to the majority of security challenges where the immediate threats are ...
    • Noise-intensification data augmented machine learning for day-ahead wind power forecast 

      Chen, Hao; Birkelund, Yngve; Batalden, Bjørn-Morten; Barabadi, Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-10)
      The day-ahead wind power forecast is essential for the designation of dispatch schedules for the grid and rational arrangement for production planning by power generation companies. This paper specifically investigates the effect of adding noise to the original wind data for forecasting models. Linear regression, artificial neural networks, and adaptive boosting predictive models based on ...