Artikler, rapporter og annet (teknologi og sikkerhet): Nye registreringer
Viser treff 141-160 av 361
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Impact of increasing share of wind energy on Nordic electrical energy market predictions
(Conference object; Konferansebidrag, 2022-10-14) -
Lokalt snøskredvarsel for Longyearbyen - Evaluering av nåværende system
(Research report; Forskningsrapport, 2022-10-11)Denne rapporten beskriver og evaluerer det nåværende systemet for snøskredvarsel i Longyearbyen. Evalueringen baserer seg på sammenlikning mot regionalt varsel på Svalbard, lokalvarsel i Europa, samt en retningslinje for lokalvarsel i Sveits. <p> <p>Fokus er rettet mot utarbeidelse og bruk av lokalvarselet, og mulige forbedringer, spesielt knyttet til innhold og struktur. Praktiske forslag ... -
Origin and Development of Seamanship Competence
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06)Seafaring is one of the oldest documented human activities, with a rich heritage created by generations of seamen. The first boats were developed several thousand years ago, based on primitive principles, and they were probably not suitable for other than simple purposes. Analyzing the history of boat building shows a gradual change in designs. These design changes were most likely due to improvements, ... -
Reliability modelling on two-dimensional life data using bivariate weibull distribution: with case study of truck in mines
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017)An engineering system can exhibit two- or multi-dimensions in its lifetime. As the classical univariate distribution cannot model this multi-dimensional characteristic, it is necessary to extend it to multivariate distribution in order to capture the multi-dimensional characteristics. This paper proposes a bivariate Weibull distribution that combines two classical Weibull models by a common exponent. ... -
Determinants, methods, and solutions of evacuation models for passenger ships: A systematic literature review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-02)Passenger ships facilitate the mobility of people at sea and are a significant revenue stream for societies. Simultaneously, they should meet safety standards. One of the main safety pillars is offering passengers a reliable emergency evacuation plan. The International Maritime Organization (IMO) has disseminated guidelines for passenger ships to enhance the evacuation process understanding. Although ... -
Cluster-based ensemble learning for wind power modeling from meteorological wind data
(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?
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ...