Recent additions

  • A Bayesian network model for estimating the combined risk in Northeast Passage escort operations 

    Xu, Sheng; Kim, Ekaterina (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-12-02)
    Escort and convoy operations are commonly employed and highly effective strategies in the Arctic, particularly when ship navigating independently becomes challenging due to adverse ice conditions. Nonetheless, these operations are also among the riskiest, given their potential to lead to collisions between ships and icebreakers, as well as ships besetting in ice. Consequently, a robust estimation ...
  • Remote Towers påvirkning på piloters beslutningsgrunnlag 

    Johnsen, Sofie Horn (Master thesis; Mastergradsoppgave, 2024-05-31)
    Fjernstyrt koordinering av lufttrafikk er implementert og driftes idag på 11 lufthavner i Norge. Organisering av norsk luftfart tilknyttet kortbanenettet og den norske geografien har gjort uttesting av fjernstyrt teknologi egnet. Formålet med studiet er å belyse tematikken i et sikkerhetsperspektiv gjennom kobling mellom teknologi og menneske. Dette studiet omhandler fjernstyrt tårntjenestes påvirkning ...
  • The challenges of the increasing institutionalization of climate security 

    Hardt, Judith N.; Jayaram, Dhanasree; Harrington, Cameron; McLaren, Duncan; Simpson, Nicholas P.; Cook, Alistair D. B.; Oliveira, Maria Cecilia; von Lucke, Franziskus; Trombetta, Julia Maria; Daoudy, Marwa; Floyd, Rita; Oramah, Chinwe P; Anthony, Mely Caballero; Estève, Adrien (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-25)
    A rapid and widespread institutionalization of climate security is underway, led by powerful states and international organizations. Recognition of the climate crisis by security actors as a serious threat to humanity is long overdue, but it is imperative that this institutionalization is critically scrutinized. This commentary highlights specific dangers that accompany the institutional mainstreaming ...
  • Anticipating climate risk in Norwegian municipalities 

    Lie, Leikny Bakke; Lysgaard, Vilde; Sydnes, Are Kristoffer (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-11)
    Climate change is increasingly being coupled to extreme weather and climate events, with an observed increase in intensity and occurrence of climate-related events. Norway is no exception. Though generally considered quite resilient to climate risk, with favorable conditions for adapting on a national level, studies point to regional and local differences. Applying a mixed methods approach we ...
  • Singular Value Decomposition-based Multiple Model Approach towards Developing Digital Twin Applications in Ship Performance Prediction 

    Taghavi, Mahmood; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2024)
    Representing the entire operational range of an ocean-going vessel with linear equations is often a formidable task. In this research study, a datadriven localized model is presented for ship performance prediction as a part of the digital twin development. For this purpose, different operational conditions of the vessel, i.e., data clusters, are identified using the Gaussian Mixture Models (GMM) ...
  • On Statistical Features of Ice Loads on Fixed and Floating Offshore Structures 

    Sinsabvarodom, Chana; Leira, Bernt Johan; Høyland, Knut Vilhelm; Næss, Arvid; Samardžija, Ilija; Chai, Wei; Komonjinda, Siramas; Chaichana, Chatchawan; Xu, Sheng (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-22)
    Apart from the mechanisms of ice structure interactions under various scenarios of sea ice conditions and structural configurations, the selection of probabilistic models is crucial in order to cope with the loading uncertainty. Sea ice is the primary contributor to design loads in cold regions. In many cases, ice loads present the highest magnitude. In recent years, the probabilistic study of ice ...
  • Predicting the Performance of Ensemble Classification Using Conditional Joint Probability 

    Murtza, Iqbal; Kim, Jin-Young; Adnan, Muhammad (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-21)
    In many machine learning applications, there are many scenarios when performance is not satisfactory by single classifiers. In this case, an ensemble classification is constructed using several weak base learners to achieve satisfactory performance. Unluckily, the construction of the ensemble classification is empirical, i.e., to try an ensemble classification and if performance is not ...
  • Flymedisinsk sertifisering av mental skikkethet 

    Rød, Maria (Master thesis; Mastergradsoppgave, 2024-08-19)
    Denne studien handler om den rutinemessige flymedisinske kontrollundersøkelsen av mental skikkethet hos søkere til legeattest klasse 1. Flyleger har en viktig funksjon ved å være ansvarlig for å vurdere «flygeres flymedisinske skikkethet i lys av fremtidig funksjonssvikt under flygning» (Luftfartstilsynet, 2023c, s. 3). Flylegers funksjon og rammebetingelser for å praktisere flymedisin er definert ...
  • Assessing climate-induced risks to urban railway infrastructure 

    Garmabaki, A.H.S.; Naseri, Masoud; Odelius, Johan; Famurewa, Stephen; Asplund, Matthias; Strandberg, Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-14)
    Climate change and its severe impacts pose a number of challenges to transport infrastructure, particularly railway infrastructure, requiring immediate action. A railway system is a linear distributed asset passing different geographical locations and exposed to heterogeneous vulnerabilities under diverse environmental conditions. Furthermore, most of the railway infrastructure assets were designed ...
  • A survey related to current technologies in Arctic region for autonomous driving 

    Rahim, Aqsa (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-28)
    Autonomous driving has sparked an entire revolution in the vehicle sector, offering to increase the safety for road users, productivity, and convenience. However, using autonomous driving vehicles in hostile environments like the Arctic present’s challenges because of the bad weather, lack of infrastructure, rough terrain, poor vision, icy and unreliable road surfaces, and inaccessible locations. ...
  • Maritime Object Detection by Exploiting Electro-Optical and Near-Infrared Sensors Using Ensemble Learning 

    Javed, Muhammad Furqan; Imam, Muhammad Osama; Adnan, Muhammad; Murtza, Iqbal; Kim, Jin-Young (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-11)
    Object detection in maritime environments is a challenging problem because of the continuously changing background and moving objects resulting in shearing, occlusion, noise, etc. Unluckily, this problem is of critical importance since such failure may result in significant loss of human lives and economic loss. The available object detection methods rely on radar and sonar sensors. Even with the ...
  • Adaptive Kalman Filter-based Estimator with Sea Trail Data to Calculate Ship States in Complex Navigation Conditions 

    Wang, Yufei; Perera, Lokukaluge Prasad Channa; Batalden, Bjørn-Morten Erdal (Chapter; Bokkapittel, 2024)
    With the progress of innovative technologies, ships in future with different autonomy levels are anticipated to enter the realm of maritime transportation. As a result, the scenarios of multi-ship encounters at sea can become more complex and the risk of potential collisions can be difficult to elevate. To support navigation safety and guarantee the required situation awareness level, it is ...
  • Operational support framework for maritime autonomous surface ships under onshore operation centers 

    Adnan, Muhammad; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2024-05-08)
    In recent years, the concept of Maritime Autonomous Surface Ships (MASSs) has gotten attention both from the research community and shipping industry. The recent development in advanced sensing, communication, and control technologies makes it possible to operate such vessels remotely through Onshore Operation Centers (OOCs). However, there are still several challenges that need to be addressed ...
  • Navigational support framework for maritime autonomous surface ships under onshore operation centers 

    Adnan, Muhammad; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2024-05-08)
    To navigate, Maritime Autonomous Surface Ships (MASSs) must be able to determine their states. i.e., the positions and velocities, etc., by utilizing onboard IoT, and ship intelligence systems. Autonomous ship navigation can heavily rely on machine learning algorithms that can predict how vessels will maneuver in the future, based on past behavior, where vessel state estimation can play a main role. ...
  • Functional Requirements for Onshore Operation Centers to Support Remotely Operated Ships 

    Adnan, Muhammad; Perera, Lokukaluge Prasad Channa; Tusher, Hasan Mahbub; Nazir, Salman (Chapter; Bokkapittel, 2024-06-16)
    Autonomous shipping has received extensive attention from the maritime industry as well as the respective research, academic and training institutes, owing to its major benefits related to cost and safety over traditional shipping in many situations. In reality, the implementation of autonomous technology in shipping can face numerous challenges from the technology and regulatory perspectives. ...
  • Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View 

    Namazi Rabati, Hosna; Perera, Lokukaluge Prasad Channa (Chapter; Bokkapittel, 2024-06-16)
    Nowadays, the maritime industry, like other industries, is incorporating Machine Learning (ML) and Artificial Intelligence (AI) approaches in their applications. Since the rise of Maritime Autonomous Surface Ships (MASS) is on the horizon, such intelligent algorithms would replace conventional ship navigation with a higher level of autonomy. In other words, a digital navigator can be developed based ...
  • An evolution in sustainable development: Integrating new semi-quantitative assessment model with strategic management (Insights from the mineral sector) 

    Pouresmaieli, Mahdi; Nouri Qarahassanlou, Ali; Ataei, Mohammad (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-18)
    Sustainable development is crucial for ensuring the future of the environment, humanity, and industries. As a result, researchers across various disciplines have sought to expand sustainable practices within their fields. Since its introduction in 1992, sustainable development has made significant progress. Numerous models have been developed to assess sustainable development levels, with ...
  • A Peridynamic Approach to Simulate Sea Ice Fracture with a Focus on its time-dependent material behaviour 

    Zhang, Yuan; Lu, Wenjun; Lubbad, Raed Khalil; Løset, Sveinung; Tsarau, Andrei; Høyland, Knut Vilhelm (Chapter; Bokkapittel, 2024)
    Sea ice exhibits time-dependent non-linear behaviour. This is evidenced by both lab and field experiments with known phenomena such as creep and stress relaxation. This time-dependent material behaviour becomes particularly pronounced at larger temporal scales. In this study, we present a novel approach to simulate time-dependent fractures in sea ice using peridynamics (PD), a particle integral ...
  • Edward W. Said: Not so lost reflections On Lost Causes such as the one-state solution 

    Schabowska, Barbara; Bartoszewicz, Monika Gabriela (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-22)
    The article examines the enduring relevance of Edward Said's perspectives on the Israeli-Palestinian conflict, juxtaposing contemporary challenges with Said's visionary advocacy for a one-state solution. The analysis delves into the complexities of the evolving Middle East dynamics, emphasising the need to reconsider alternative frameworks. Central to our analysis is Said's intellectual ethos, which ...
  • Converting for terrorist purposes: challenging the conceptual unidirectionality of the threat 

    Bartoszewicz, Monika Gabriela (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-08)
    Terrorism is typically included among the grave societal challenges resulting from radicalisation of certain groups. The phrase ‘radical converts’ typically evokes an image of a convert to Islam, whereas an individual converting from Islam to other religions is not associated with a terrorist threat. When it comes to threat assessment, the conversion of Christianity to Islam is typically deemed a ...

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