Recent additions

  • Localized advanced ship predictor for maritime situation awareness with ship close encounter 

    Wang, Yufei; Perera, Lokukaluge Prasad Channa; Batalden, Bjørn-Morten Erdal (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-04)
    The marine navigation environment can become further complex when ships with different autonomy levels are introduced. To ensure navigation safety in such a mixed environment, advanced ship predictor type technologies are essential in aiding ship navigators to attain the highest levels of situation awareness (SA). Consequently, precise ship trajectory prediction, specifically within a short prediction ...
  • Investigation and analysis of the ‘cold’ sensation relation with respect to associated parameters: wind velocity, ambient temperature, humidity, and irradiance 

    Nadem Leyli, Amir (Master thesis; Mastergradsoppgave, 2019-07-15)
    The Arctic is considered as one of the regions in the world with various resources including oil and gas. Many industries are moving further up north to this area or new industries are being established. Technologies and industries in the Arctic have many challenges regarding the harsh cold climate. One of the main challenges which is of importance in this thesis is human exposure to the cold that ...
  • Assessing resilience in mechanical systems: an industrial perspective 

    Nouri Qarahassanlou, Ali; Ali, Rahimazar; Dina, Khanzadeh (Journal article; Tidsskriftartikkel; Peer reviewed, 2024)
    Purpose - Resilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns ...
  • Assessing resilience in mechanical systems: an industrial perspective 

    Nouri Qarahassanlou, Ali; Rahimazar, Ali; Khanzadeh, Dina (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-12)
    Purpose - Resilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns ...
  • Global change research needs international collaboration 

    Büntgen, Ulf; Rees, William Gareth (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-04)
    Tackling the grand challenges of global climate change for the sustainability of ecological and societal systems requires data and expertise from Russia, the world's largest country that has the longest Arctic shoreline and the largest forest biome, peatland and permafrost zones. Academic relations and scientific collaborations with Russian scholars and institutions must continue despite the ensuing ...
  • Scenario Design, Data Measurement, and Analysis Approaches in Maritime Simulator Training: A Systematic Review 

    Munim, Ziaul Haque; Krabbel, Helene Luise Sonna; Haavardtun, Per; Kim, Tae Eun; Bustgaard, Morten; Thorvaldsen, Haakon (Chapter; Bokkapittel, 2023-08-29)
    Developing objective assessment approach in maritime simulator training can be a highly challenging task due to the complexity of simulating realistic scenarios, capturing relevant performance indicators and establishing good assessment protocols. This study provides a synthesis of simulation scenario contexts, data collection tools, and data analysis approaches in published simulator training ...
  • Reliability Assessment of Computer in Design Phase Under High Censored Setting 

    Yuan, Fuqing; Lu, Jinmei (Chapter; Bokkapittel, 2023-02-01)
    Assessment of reliability of personal computer is a challenge for the developer as the lack of sufficient data. Ordinary statistical approach depending on large dataset has less convincible result for the developer to make decision. Prior to massive production, the computer manufacturer runs a life test by picking up a certain number of new computers to run to failure to enlarge the data set. ...
  • Uncertainties in Managing Atmospheric Icing on Power Lines 

    VAHHABI, MOHSEN; Barabadi, Abbas; Barabady, Javad; Nouri, Ali (Chapter; Bokkapittel, 2023)
    Icing affects the infrastructure dramatically, especially in the cold region. Therefore, applying effective ice disaster management (IDM) to provide a systematic approach to dealing with atmospheric icing on power lines is essential. It includes preparedness, response, recovery, learning, risk assessment, and prevention. Integral to this management is the accurate prediction and modeling of icing, ...
  • The Effect of LNG and Diesel Fuel Emissions of Marine Engines on GHG-Reduction Revenue Policies Under Life-Cycle Costing Analysis in Shipping 

    Taghavifar, Hadi; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2023)
    The fuel life cycle involves different phases of extraction/refinery (well to tank: WtT), transport (tank to propeller: TtP), and storage where each of these processes can add a specific amount of emissions to the overall LCCA inventory. During the extraction or operation of machinery on the raw material, the released amount of GHG components is undergoing a change in the generated emissions per ...
  • Trustworthiness Evaluation Framework for Digital Ship Navigators in Bridge Simulator Environments 

    Namazi Rabati, Hosna; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2023)
    The maritime industry is going towards implementing digital navigators, i.e., AI created by machine learning algorithms, on autonomous vessels in the future. Digital navigators can be developed by utilizing machine learning algorithms, e.g., deep learning type neural networks trained by data sets from human navigators. Even though there is significant importance in studying the trustworthiness of ...
  • Multiple Model Adaptive Estimation Coupled With Nonlinear Function Approximation and Gaussian Mixture Models for Predicting Fuel Consumption in Marine Engines 

    Taghavi, Mahmood; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2023)
    Digital twin type models can be developed for physical systems that are complex nonlinear a system of systems (SoS). However, such models are usually difficult to represent by linear equations. Therefore, an adequate linearization technique should be introduced. Therefore, linear models as digital twins can be interpreted easily and need much less computational power when applied to various industrial ...
  • Unpacking uncertainty in regional avalanche forecasting: A quantitative case study of uncertainty in forecasting regional avalanche danger 

    Karlsen, Kristoffer (Master thesis; Mastergradsoppgave, 2023-12-10)
    When assessing a risk, a future event, uncertainty is vital as we cannot know what will happen. Having an active relationship to uncertainty can reduce it and help the decision-makers make informed decisions. Avalanche forecasting is widely used by outdoor recreational and local authorities for emergency preparedness use. Therefore, an additional focus on uncertainty in this field benefits people ...
  • Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification 

    Taghavi, Mahmood; Perera, Lokukaluge Prasad Channa (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-24)
    Due to the growing rate of energy consumption, it is necessary to develop frameworks for enhancing ship energy efficiency. This paper proposes a solution for this issue by introducing a digital twin framework for quantifying ship performance. For this purpose, extensive low-level clustering is performed using Gaussian Mixture Models (GMM) with the Expectation Maximization algorithm on a dataset ...
  • Energy-Efficient Marine Engine and Dynamic Wing Evaluation Under Laboratory Conditions to Achieve Emission Reduction Targets in Shipping 

    Perera, Lokukaluge Prasad Channa; Belibassakis, Kostas (Chapter; Bokkapittel, 2023-09-22)
    There is a requirement to comply with the forthcoming IMO & EU requirements to reduce ship emissions by at least 40% in 2030 compared to the 2008 levels. Such medium-term emission reduction targets can only be achieved by introducing novel technologies into the shipping industry. The SeaTech H2020 project (seatech2020.eu) introduces two main innovations that can support the same emission reduction ...
  • Conceptualizing AMR as a creeping disaster in terms of pace and space 

    Staupe-Delgado, Reidar; Engstrom, Alina; Cadiz, Sebastian Andres Frugone (Chapter; Bokkapittel, 2023)
    Traditionally defined, disasters are understood as relatively limited in duration. Yet we also know that some disasters are of a creeping and indeed perpetual nature – their onsets do not seize to advance. One example is AMR. In theory, it should be easier to respond to such creeping disasters as a result of their slow build up. In reality, however, swift response to creeping disasters rarely ...
  • The challenges experts face during creeping crises: the curse of complacency 

    Zaman, Ahmad Wesal; Rubin, Olivier; Staupe, Reidar (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-05)
    The policy literature has generally conceptualised crises as urgent public threats with clearly demarcated ‘focusing events’. Consequently, most studies have identified the main challenges faced by expert agencies involved in evidence-based policymaking as managing uncertainty, time pressure and communication. However, less focus has been devoted to analysing the concrete challenges faced by expert ...
  • Corporate social responsibility in complex systems based on sustainable development 

    Nouri Qarahassanlou, Ali; Barabadi, Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-21)
    In recent years, sustainable development and the commitment of companies to social responsibility have been emphasized as a new concern for various industries. Considering this issue, for the first time, this study conducted a systematic review of the development of social responsibility from the perspective of industrial sustainable development (SD). To be more precise, this study investigated ...
  • A Concept of Information-Based Strategy for Accident Prevention 

    Zhu, Tiantian; Naseri, Masoud; Liu, Yiliu (Chapter; Bokkapittel, 2023)
    With the increasing use of sensor technology, it has become common practice to use collected data to reduce uncertainty and ensure safety. This paper presents the concept of an information-based strategy for accident prevention that puts more weight on hazard detection and monitoring and makes use of data obtained. The information-based strategy can be considered as a new barrier for safety management. ...
  • The effects of uplift and erosion on the petroleum systems in the southwestern Barents Sea: Insights from seismic data and 2D petroleum systems modelling 

    Ktenas, Dimitrios; Nielsen, Jesper Kresten; Henriksen, Erik; Meisingset, Ivar; Schenk, Oliver (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-05)
    In the past three decades, the hydrocarbon prospectivity has been enigmatic in the southwestern Barents Sea as gas discoveries have dominated over oil. However, more recent discoveries indicate oil potential, especially in the Polheim Platform and Hoop Complex areas. Cenozoic uplift and erosion episodes are critical because they control the duration and depth of maximum burial of source rocks and ...
  • A Review of Learning Analytics Dashboard and a Novel Application in Maritime Simulator Training 

    Munim, Ziaul Haque; Kim, Tae Eun (Chapter; Bokkapittel, 2023)
    Developing a Learning Analytics Dashboard (LAD) to evaluate maritime simulation training performance based on key performance indicators (KPIs) of maritime navigational competence can improve learning efficiency and effectiveness. Relevant data needs to be fed from simulation training logs and other sources, analysed using appropriate visualization and artificial intelligence approaches, and reported ...

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