• Data-augmented sequential deep learning for wind power forecasting 

      Chen, Hao; Birkelund, Yngve; Qixia, Zhang (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-15)
      Accurate wind power forecasting plays a critical role in the operation of wind parks and the dispatch of wind energy into the power grid. With excellent automatic pattern recognition and nonlinear mapping ability for big data, deep learning is increasingly employed in wind power forecasting. However, salient realities are that in-situ measured wind data are relatively expensive and inaccessible and ...
    • Data-driven modeling of energy-exergy in marine engines by supervised ANNs based on fuel type and injection angle classification 

      Taghavifar, Hadi; Perera, Lokukaluge Prasad Channa (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-16)
      The application of artificial neural networks with the involvement of a modified homogeneity factor to predict exergetic terms from combustive and/or mixing dynamics in a marine engine is considered in this study. This is a significant step since the mathematical formulation of exergy in combustion is complicated and even unconvincing due to the turbulent and highly nonlinear nature of the combustion ...
    • Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies 

      Perera, Lokukaluge Prasad; Czachorowski, Karen Vanessa (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-14)
      Data driven networks applicable for shipping industrial applications to create decentralized system intelligence are considered in this study. Such system intelligence can facilitate to improve the respective operational efficiency in local (i.e. vessel operations) and global (i.e. logistics operations) scales in shipping as the main advantage. The main features of these data driven networks are ...
    • 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 ...
    • Deep Learning towards Autonomous Ship Navigation and Possible COLREGs Failures 

      Perera, Lokukaluge Prasad (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-17)
      A structured technology framework to address navigation considerations, including collision avoidance, of autonomous ships is the focus of this study. That consists of adequate maritime technologies to achieve the required level of navigation integrity in ocean autonomy. Since decision-making facilities in future autonomous vessels can play an important role under ocean autonomy, these technologies ...
    • Design and Optimizing the Sea-Spray Collector using CFD 

      Dhar, Sushmit; Khawaja, Hassan; Naseri, Masoud; Edvardsen, Kåre (Conference object; Konferansebidrag, 2022)
      Sea-spray contributes significantly to marine icing, posing a severe challenge to marine operations in cold regions. There are two parts to spray icing, i) amount of water impingement on marine structure, ii) thermodynamics/heat transfer governing the fraction of spray that freezes and adheres to the structure. Sea-spray collection provides means to investigate into marine icing phenomenon. In this ...
    • Design of a Snow Sledge using Multiphysics Analysis 

      Xue, Hui; Khawaja, Hassan Abbas; Mauseth, Guy Beeri (Conference object; Konferansebidrag, 2014)
    • Design, development and deployment of a novel sea spray collector for sea-spray flux measurements 

      Dhar, Sushmit; Naseri, Masoud; Khawaja, Hassan Abbas; Edvardsen, Kåre; Zhu, Tiantian (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-19)
      The risk of sea-spray icing on vessels and marine structures in cold regions highlights the need for an accurate and robust marine-icing estimation model. To develop such a model, it is crucial to accurately determine the quantity of liquid water available for freezing on the structure, as it directly influences ice formation. As sea spray constitutes the primary source of liquid water contributing ...
    • Determinants, methods, and solutions of evacuation models for passenger ships: A systematic literature review 

      Arshad, Hossein; Emblemsvåg, Jan; Li, Guoyuan; Ostnes, Runar (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 ...
    • Determination of Thermal Properties of Fresh Water and Sea Water Ice using Multiphysics Analysis 

      Rashid, Taimur; Khawaja, Hassan Abbas; Edvardsen, Kåre (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-08-29)
      This paper presents a methodology to determine the thermal conductivity of ice using multiphysics analysis. This methodology used a combination of both experimentation and numerical simulation. In the experimental work, an ice block is observed using an infrared camera. The results reveal the variation in temperature over the surface. These results are dependent on two primary heat transfer parameters, ...
    • 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 ...
    • Development of strategic asset management planning in the petroleum industry 

      Kusumawardhani, Mayang; Markeset, Tore; Kumar, Rajesh (Tidsskriftsartikkel; Journal article; Tidsskriftartikkel; Peer reviewed, 2017)
      <i>Purpose</i> – Due to the certain risk carried in offshore petroleum installations, the integrity of these installations needs to be maintained at all times. Thus, asset integrity management (AIM) needs to be formulated and monitored to achieve the integrity objective. The purpose of this paper is to study the practices and progression of strategic AIM planning in the petroleum industry. ...
    • A discipline without a name? Contrasting three fields dealing with hazards and disaster 

      Staupe-Delgado, Reidar; Abdel-Fattah, Dina; Pursiainen, Christer Henrik (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-29)
      A growing number of research fields have been striving for recognition as an academic discipline. Rather than argue that ‘our field’ should also be recognised as such, we stop to ask two fundamental questions. Our first question concerns whether and how disciplinary concerns would benefit research fields dealing with hazards and disasters. Second, we reflect on the implications of not having a broadly ...
    • The Distribution of Heavy Metals in the Sediment of Low Tidal Flat, Eastern Chongming Island, China 

      Lu, Jinmei; Yuan, Fuqing (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      The distribution of heavy metals in the tidal flat is of great significance on the estuary environment. This study aims to find the heavy metal distribution mechanism at low tidal flat in Yangtze Estuary, China. 4 sediment cores were collected at low tidal flat of eastern Chongming Island at four seasons spring, summer, autumn and winter. The concentrations of element Al, Cu, Cr, Fe, Mn, Pb, Rb, Zn, ...
    • Drawing lessons from the COVID-19 pandemic: Seven obstacles to learning from public inquiries in the wake of the crisis 

      Eriksson, Kerstin; Staupe-Delgado, Reidar; Holst, Jørgen (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-13)
      On March 11, 2020, the World Health Organization declared the emerging COVID-19 threat a pandemic following the global spread of the virus. A year later, a number of governments are being handed the concluding reports of national public inquiries tasked with investigating responses, mishaps, and identifying lessons for the future. The present article aims to identify a set of learning obstacles that ...
    • Drone-based Bridge Inspection in Harsh Operating Environment: Risks and safeguards 

      Aliyari, Mostafa; Ashrafi, Behrooz; Ayele, Yonas Zewdu (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-30)
      The inability to effectively and systematically identify and measure the damage in bridges will lead to an acceleration and dangerous deterioration of the health state of these structures. To repair and replace the aging and damaged bridge infrastructures, and prevent catastrophic bridge collapse, there is an urgent need to develop reliable, innovative, and efficient approaches to the performance ...
    • A dual linear autoencoder approach for vessel trajectory prediction using historical AIS data 

      Murray, Brian; Perera, Lokukaluge Prasad (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-21)
      Advances in artificial intelligence are driving the development of intelligent transportation systems, with the purpose of enhancing the safety and efficiency of such systems. One of the most important aspects of maritime safety is effective collision avoidance. In this study, a novel dual linear autoencoder approach is suggested to predict the future trajectory of a selected vessel. Such predictions ...
    • Dynamic spare parts transportation model for Arctic production facility 

      Ayele, Yonas Zewdu; Barabadi, Abbas; Barabady, Javad (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-09-14)
      Timely delivery of the required spare parts plays an important role in meeting the availability target and reducing the downtime of production facilities. Spare parts logistics is affected in complex ways while operating in the Arctic, since the area is sparsely populated and has insufficient infrastructure. It is also greatly affected by the distinctive operational environment of the region, ...
    • The effect of drinking water quality on the health and longevity of people-A case study in Mayang, Hunan province, China 

      Lu, Jinmei; Yuan, Fuqing (Peer reviewed; Chapter; Bokkapittel, 2017)
      Drinking water is an important source for trace elements intake into human body. Thus, the drinking water quality has a great impact on people's health and longevity. This study aims to study the relationship between drinking water quality and human health and longevity. A longevity county Mayang in Hunan province, China was chosen as the study area. The drinking water and hair of local centenarians ...
    • 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 ...