Now showing items 1-20 of 159

    • Active Infrared Observation for Ice Detection in Anti/De-Icing Systems for Marine Applications in Arctic Region 

      Rashid, Taimur; Khawaja, Hassan Abbas (Conference object; Konferansebidrag, 2016-12-08)
      The number of shipping operations is on the rise in the Arctic region. As a result of these increased activities, significant challenges are being encountered with respect to safety and reliability. One of the challenges is an accretion of ice. The icing on ships and offshore structures is caused by atmospheric sources and sea spray. The sea spray is the main source of icing and is generated by the ...
    • Active learning for enhanced understanding of "ship damage stability" 

      Johansen, Kåre; Batalden, Bjørn-Morten (Book; Chapter, 2018)
      Active Learning has always played an important part of seamen’s education. Transfer of experience have from ancient time been practiced in an active learner-centered field where unexperienced seamen got involved in their own learning by being supervised by experienced seamen, when practicing seaman related activities. This learning practice was supreme before the introduction of “modern” maritime ...
    • Airmanship - A qualitative approach 

      Nergård, Vegard (Journal article; Tidsskriftartikkel; Peer reviewed, 2014-10)
      The purpose of this study was to investigate how pilots themselves characterize a good pilot and airmanship, and how safety is created by the practice of knowledge. The purpose of this study was to get the insiders’ understanding of the concept of airmanship. Results indicate that the formulation of the concept of airmanship is complex, and it is first and foremost comprised of the knowledge about ...
    • An AIS-based deep learning framework for regional ship behavior prediction 

      Murray, Brian; Perera, Lokukaluge Prasad (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-27)
      This study presents a deep learning framework to support regional ship behavior prediction using historical AIS data. The framework is meant to aid in proactive collision avoidance, in order to enhance the safety of maritime transportation systems. In this study, it is suggested to decompose the historical ship behavior in a given geographical region into clusters. Each cluster will contain trajectories ...
    • An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels 

      Murray, Brian; Perera, Lokukaluge Prasad (Peer reviewed; Bok; Chapter, 2019-11-11)
      This study presents a method to predict the future trajectory of a target vessel using historical AIS data. The purpose of such a prediction is to aid in collision avoidance in future vessels. The method presented in this study extracts all trajectories present in an initial cluster centered about a vessel position. Features for each trajectory are then generated using Principle Component Analysis ...
    • Ambient air quality and the effects of air pollutants on otolaryngology in Beijing 

      Zhang, Fengying; Xu, Jin; Zhang, Ziying; Meng, Haiying; Wang, Li; Lu, Jinmei; Wang, Wuyi; Kraft, Thomas (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-07-09)
      Abstract To investigate temporal patterns, pollution concentrations and the health effects of air pollutants in Beijing we carried out time-series analyses on daily concentrations of ambient air pollutants and daily numbers of outpatient visits for otolaryngology over 2 years (2011– 2012) to identify possible health effects of air pollutants. The results showed that PM10 was the major air ...
    • Analytical and Case Studies of a Sandwich Structure using Euler-Bernoulli Beam Equation 

      Xue, Hui; Khawaja, Hassan Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-11)
      This paper presents analytical and case studies of sandwich structures. In this study, the Euler-Bernoulli beam equation is solved analytically for a four-point bending problem. Appropriate initial and boundary conditions are specified to enclose the problem. In addition, the balance coefficient is calculated and the Rule of Mixtures is applied. The focus of this study is to determine the effective ...
    • Analytical Study of Sandwich Structures using Euler–Bernoulli Beam Equation 

      Xue, Hui; Khawaja, Hassan Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01)
      This paper presents an analytical study of sandwich structures. In this study, the Euler–Bernoulli beam equation is solved analytically for a four-point bending problem. Appropriate initial and boundary conditions are specified to enclose the problem. In addition, the balance coefficient is calculated and the Rule of Mixtures is applied. The focus of this study is to determine the effective material ...
    • Anomaly Detection for Environmental Data Using Machine Learning Regression 

      Yuan, Fuqing; Lu, Jinmei (Journal article; Peer reviewed, 2018)
      Environmental data exhibits as huge amount and complex dependency. Utilizing these data to detect anomaly is beneficial to the disaster prevention. Big data approach using the machine learning method has the advantage not requiring the geophysical and geochemical knowledge to detect anomaly. This paper using the popular support vector regression (SVR ) to model the correlation between factors. ...
    • Applicability Extent of 2-D Heat Equation for Numerical Analysis of a Multiphysics Problem 

      Khawaja, Hassan Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01)
      This work focuses on thermal problems, solvable using the heat equation. The fundamental question being answered here is: what are the limits of the dimensions that will allow a 3-D thermal problem to be accurately modelled using a 2-D Heat Equation? The presented work solves 2-D and 3-D heat equations using the Finite Difference Method, also known as the Forward-Time Central-Space (FTCS) method, ...
    • Application of a 2-D approximation technique for solving stress analyses problem in FEM 

      Khawaja, Hassan Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-11-24)
    • The Arctic and Africa in China’s Foreign Policy: How Different Are They and What Does This Tell Us? 

      Pursiainen, Christer Henrik; Alden, Chris; Bertelsen, Rasmus Gjedssø (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-08)
      The article discusses China’s policies in and towards the Arctic and Africa within a comparative perspective. To what extent is China’s policy adaptable to different conditions? What does this adaptability tell us about China’s ascendant great-power role in the world in general? What is the message to the Arctic and Africa respectively? The article concludes that China’s regional strategies aptly ...
    • Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic 

      Chen, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-07)
      Mapping Arctic renewable energy resources, particularly wind, is important to ensure the transition into renewable energy in this environmentally vulnerable region. The statistical characterisation of wind is critical for effectively assessing energy potential and planning wind park sites and is, therefore, an important input for wind power policymaking. In this article, different probability density ...
    • Auditing Industrial Safety Management: A Case Study 

      Sydnes, Are K.; Bjelle, Sondre (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      As industries are becoming increasingly self-regulatory, external auditing has become increasingly important to ensure that industrial practices are in line with regulations and the public good. This study asks if there is a fit between the industrial practices of safety management and external auditing. It concludes that while companies largely manage safety through operational-level experience and ...
    • Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions 

      Naseri, Masoud; Baraldi, Piero; Compare, Michele; Zio, Enrico (Peer reviewed, 2016-03-19)
      We consider the assessment of the availability of oil and gas processing facilities operating under Arctic conditions. The novelty of the work lies in modelling the time-dependent effects of environmental conditions on the components failure and repair rates. This is done by introducing weather-dependent multiplicative factors, which can be estimated by expert judgements given the scarce data available ...
    • Baseline levels of oxidative stress biomarkers in species from a subtropical estuarine system (Paranaguá Bay, southern Brazil) 

      Sardi Sulvarán, Adriana Eva; Renaud, Paul; Lana, Paulo Da Cunha; Camus, Lionel (Peer reviewed, 2016-08-10)
      Offshore petroleum exploration has increased the risks of oil spills in coastal tropical and subtropical habitats. Monitoring tools are needed to assess and protect environmental health. We determined baseline values of antioxidant biomarkers (CAT, SOD, GPx, GST, MDA) for five ecologically relevant species in a subtropical system in southern Brazil. Regional baseline levels are compared with literature ...
    • Bioremediation Treatment of Hydrocarbon-Contaminated Arctic Soils: Influencing Parameters 

      Naseri, Masoud; Barabadi, Abbas; Barabady, Javad (Journal article; Tidsskriftartikkel; Peer reviewed, 2014)
    • CFD modelling of pressure and shear rate in torsionally vibrating structures using ANSYS CFX and COMSOL Multiphysics 

      Brunner, Daniel; Khawaja, Hassan; Moatamedi, Mojtaba; Boiger, Gernot (Journal article; Tidsskriftartikkel; Peer reviewed, 2018)
      This paper discusses numerical methodologies to simulate micro vibrations on a nontrivial torsionally oscillating structure. The torsional structure is the tip of a viscosity-density sensor using micro vibrations to measure the fluid properties. A 2D transient simulation of the fluid domain surrounding the tip of the sensor has been conducted in ANSYS CFX and COMSOL Multiphysics software. ANSYS CFX ...
    • Coastal Environment, Technology and Innovation in the Arctic (CETIA) 2011-14. 

      Sydnes, Are K. (Conference object; Konferansebidrag, 2012)
    • Column leaching heavy metal from tailings following simulated climate change in the Arctic area of Norway 

      Fu, Shuai; Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2018)
      This study aimed to assess how the current climate change perspective, with various air temperature (4°C, 10°C, 14°C and 18°C) affected metal releasing from tailings. Heavy metals pollution from tailings leaching are of increasing concern. Column leaching experiment was conducted for 15 weeks to a series of tailings with 20 mm/week water leaching four temperature situations. Leachate chemical physics ...