Now showing items 101-120 of 311

    • 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 ...
    • 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, ...
    • 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 ...
    • Maritime safety and the ISM code: a study of investigated casualties and incidents 

      Batalden, Bjørn-Morten; Sydnes, Are K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2013-08-27)
      Abstract In 1993, the International Maritime Organization adopted the International Safety Management (ISM) Code which requires all shipping companies operating certain types of vessels to establish safety management systems. Nevertheless, two decades later, maritime safety remains a concern. This article studies 94 maritime cases investigated by the Maritime Accident Investigation Branch in the ...
    • A Holistic View of Health Infrastructure Resilience before and after COVID-19 

      Barabadi, Abbas; Mohammad Hossein, Ghiasi; Qaranhasanlou, Ali Nouri; Adel, Mottahedi (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-04)
      Background: Large-scale events such as COVID-19 show that there are situations that can lead to huge stress on health infrastructure systems (HIS). The pandemic reveals that it is very difficult to protect HIS from all kinds of possible hazards. They can be unpredictable and spread rapidly; hence, it is hard to find an effective mitigation strategy to completely protect society and its important ...
    • Spare Part Management Considering Risk Factors 

      Barabadi, Reza; Ataei, Mohammad; Khalokakaie, Reza; Barabadi, Abbas; Nouri, ali (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-01)
      The spare parts provision is a complex process, which needs a precise model to analyze all factors with their possible effects on the required number of spare parts. The required number of spare parts for an item can be calculated based on its reliability performance. Various factors can influence the reliability characteristics of an item, including operational environment, maintenance policy, ...
    • The Effect of Risk Factors on the Resilience of Industrial Equipmen 

      Barabadi, Abbas; Nori, Ali; Mottahedi, Adel; Rahim Azar, Ali; Zamani, Ali (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-01)
      Recently, to evaluate the response of systems against disruptive events, the application of the resilience concept has been increased. Resilience depicts the system’s ability to return to its normal operational status after the disruption. Various studies in the field of engineering and non-engineering systems have only considered systems’ performance indicators to estimate resilience. Therefore, ...
    • Availability Importance Measure for Various Operation Condition 

      Barabadi, Abbas; Nouri, ali; Hazrati, Ali; Zamani, Ali; Mokhberdoran, Mehdi (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-01)
      The concept of availability importance measures can be used to identifying critical components from the availability performance point of view. The availability of an item depends on the combined aspects of its reliability and maintainability performance indices. These indices are considerably affected by operational and environmental conditions such as; ambient temperature, precipitation, wind, ...
    • Industrial Equipment’s Throughput Capacity Analysis 

      Barabadi, Abbas; Nouri, ali; Hazrati, Ali; Khodayari, Aliasqar; Mokhberdoran, Mahdi (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-01)
      Throughput capacity (TC) is defined as the total amount of material processed or produced by the system in the given time. In practice, full capacity performance for industrial equipment is impossible because the failures are affected and cause a reduction. Therefore, failure interruptions, especially critical ones (bottlenecks), must be detected and considered in production management. From the ...
    • Development and Validation of a Safety Leadership Self-Efficacy Scale (SLSES) in Maritime Context 

      Kim, Tae-Eun; Sydnes, Are K.; Batalden, Bjørn-Morten Erdal (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-21)
      Extensive studies have highlighted the importance of leadership on safety in the maritime industry. However, current research lacks empirically tested theoretical models with valid and reliable scales for describing and measuring safety leadership in ship operations. This study reports the development and validation process of the first Safety Leadership Self-Efficacy Scale (SLSES) for assessing ...
    • Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents 

      Leikanger, Per Roald (Journal article; Tidsskriftartikkel, 2021-07-19)
      Navigating the world is a fundamental ability for any living entity. Accomplishing the same degree of freedom in technology has proven to be difficult. The brain is the only known mechanism capable of voluntary navigation, making neuroscience our best source of inspiration toward autonomy. Assuming that state representation is key, we explore the difference in how the brain and the machine represent ...
    • Finnmark Platform Composite Tectono-Sedimentary Element, Barents Sea 

      Henriksen, Erik; Ktenas, Dimitrios; Nielsen, Jesper Kresten (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-16)
      The Finnmark Platform Composite Tectono-Sedimentary Element (CTSE), located in the southern Barents Sea, is a northward-dipping monoclinal structural unit. It covers most of the southern Norwegian Barents Sea where it borders the Norwegian mainland. Except for the different age of basement, the CTSE extends eastwards into the Kola Monocline on the Russian part of the Barents Sea. <p> <p>The general ...
    • Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions 

      Barabadi, Abbas; Mustafa, Albara M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-12)
      Different risks are associated with the operation and maintenance of wind farms in cold climate regions, mainly due to the harsh weather conditions that wind farms experience in that region such as the (i) increased stoppage rate of wind turbines due to harsh weather conditions, (ii) limited accessibility to wind farms due to snow cover on roads, and (iii) cold stress to workers at wind farms. In ...
    • Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region 

      Chen, Hao; Birkelund, Yngve; Anfinsen, Stian Normann; Yuan, Fuqing (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-26)
      This paper conducts a systemic comparative study on univariate and multivariate wind power forecasting for five wind farms inside the Arctic area. The development of wind power in the Arctic can help reduce greenhouse gas emissions in this environmentally fragile region. In practice, wind power forecasting is essential to maintain the grid balance and optimize electricity generation. This study first ...