Viser treff 21-40 av 915

    • Havforskningsinstituttets rådgivning for menneskeskapt støy i havet - Kunnskapsgrunnlag, vurderinger og råd for 2024 

      Forland, Tonje Nesse; Sivle, Lise Doksæter; de Jong, Karen; Pedersen, Geir; Strømme, Marte Louise; Kutti, Tina; Durif, Caroline; McQueen, Kate; Grimsbø, Endre; Wehde, Henning (Research report; Forskningsrapport, 2023)
      Havforskningsinstituttet gir råd for alle operasjoner til havs som involverer bruk av lydkilder, samt elektromagnetiske kilder som kan påvirke marine økosystemer. Dette inkluderer vitenskapelige undersøkelser, utbygging og sprenging i sjø, seismiske og elektromagnetiske undersøkelser i forbindelse med petroleumsvirksomhet , og utbygging og drift av vindkraftanlegg til havs. Denne rapporten er en ...
    • A Method for Determining Optimal Charging Infrastructures in Public Ferry Transportation Networks 

      Kristensen, Joachim (Master thesis; Mastergradsoppgave, 2023-05-15)
      In this thesis, we establish the theoretical foundation for determining the minimum requirements for charging infrastructures in networks where electric ferries operate on a fixed schedule. The problem - named the Multiple-Trip Electric Charging Station Placement (MT-ECSP) - is formulated as a 0-1 Integer Program, and is subsequently proven to be NP-hard. We construct several instances of the ...
    • Same same, but different – or how construction informatics gets taught at universities in Norway and Sweden 

      Merschbrock, Christoph; Onstein, Erling; Danielsen, Peter E.; Johansson, Peter (Chapter; Bokkapittel, 2023)
      In response to the increasing demand for construction informatics (CI) expertise, universities in the Nordic countries have developed new educational offers. This study explores how CI related education is being delivered by three different universities, two in Norway and one in Sweden. By comparing curricula and interviewing CI teachers, this paper contributes to the recent debate on the international ...
    • Preface 

      Soleiman Fallah, Arash; Khawaja, Hassan Abbas; Moatamedi, Mojtaba (Chapter; Bokkapittel, 2024-01-18)
      In the ever-advancing realm of renewable energy, wind turbines have unfurled as magnificent guardians, capturing the boundless energy of the wind to lead us toward a cleaner, greener future. Within this captivating landscape, we proudly unveil “Multiphysics of Wind Turbines in Extreme Loading Conditions.” This book is concerned with one aspect of wind turbines which is deal-ing with multiphysics ...
    • Under Seawater Capacitive Power Transfer for Maritime Charging Applications 

      Al-Sallami, Hussein Mahdi Yaseen; Hattori, Reiji; Hoff, Bjarte; Østrem, Trond (Chapter; Bokkapittel, 2023-09-12)
      Underwater capacitive power transfer (CPT) can provide an inexpensive and light electric charging solution with good misalignment tolerance for unmanned maritime vehicles. This paper investigates the effect of the changing of the frequency and the distance on the power transfer and overall efficiency of the underwater CPT system, considering the dielectric losses of the medium. It also proposes and ...
    • Ice shedding from wind turbines 

      Khawaja, Hassan Abbas; Xue, Hui; Eidesen, Hans-Kristian; Andleeb, Zahra; Moatamedi, Mojtaba (Chapter; Bokkapittel, 2024)
      Wind power is an excellent source of renewable energy in areas with sufficient wind resources. Usually, the best locations for wind turbines are on the tops of hills and ridges, where there are lower temperatures [1]. Cold temperatures are responsible for novel challenges [2, 3]. Due to cold climatic conditions, turbine blades are subjected to icing [4]. A number of methods have been proposed and ...
    • Multiphysics modeling of wind turbines 

      Soleiman Fallah, Arash; Khawaja, Hassan Abbas; Moatamedi, Mojtaba (Chapter; Bokkapittel, 2024)
      According toThe International SocietyofMultiphysics (“Definition— MULTIPHYSICS”),multiphysics (sometimes spelledasmulti-physics) is defined as a coupled modeling approach of studies that demands simultaneous addressing of hitherto separate physical disciplines and combining them to generate relational mathematical models and validate them with controlled experiments to enhance the understanding of ...
    • Home Load Disaggregation using Deep Learning and Bayesian Optimization: A Case Study in Arctic Climate in Northern Norway 

      Kianpoor, Nasrin; Hoff, Bjarte; Østrem, Trond (Chapter; Bokkapittel, 2023-08-03)
      Load monitoring is an essential task in energy management systems. In this paper, an approach that relies on a long short-term memory (LSTM) model and a discrete wavelet transform (DWT) filter is presented to estimate the energy usage of flexible appliances. In the preprocessing stage, the main features of the aggregated power signal are extracted using DWT. Deep learning methods are very sensitive ...
    • Classification of bulk cargo types stored openly at ports using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023-10-20)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, coal, ...
    • A Readiness Model for Facilitating the Implementation of Metal Additive Manufacturing at SMEs 

      Sæterbø, Mathias; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-05-23)
      SMEs constitute the backbone of the global economy possessing a vital role in future economic prosperity. Today, with the increasing competition due to globalization of markets and mass customization, as well as the increasing focus on green shift and sustainability, the need to take advantage of new technological innovations has never been more prominent. Metal Additive Manufacturing (MAM) is one ...
    • Customizing Smart Warehouse Management for Large Scale Production Industries 

      Khan, Natalia Batool; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-05-23)
      Rapid changes in the level of digitalization have changed manufacturing and production industries during our lifetime. Several industries have explored the extent to which these changes can be utilized to optimize supply chain processes and increase sustainability – they have achieved success in implementation. The energy industry, being one of the world’s largest and most financially consuming ...
    • Digital Controller Design and Implementation for AC and DC Side of 3ph qZSI 

      Agrawal, Shwetank; Tyagi, Barjeev; Kumar, Vishal; Sharma, Pawan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-28)
      This article presents the multi-loop digital controller design of a quasi-z-source inverter (qZSI). The qZSI is a single-stage power converter and can operate in buck and boost modes. The qZSI is an economical solution for distributed generation and eliminates the need for two-stage power conversion. This article proposes a detailed step-wise digital controller design using a multi-loop control ...
    • pH-dependent endocytosis mechanisms for influenza A and SARS-coronavirus 

      Aganovic, Amar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-10)
      The ongoing SARS-CoV-2 pandemic and the influenza epidemics have revived the interest in understanding how these highly contagious enveloped viruses respond to alterations in the physicochemical properties of their microenvironment. By understanding the mechanisms and conditions by which viruses exploit the pH environment of the host cell during endocytosis, we can gain a better understanding ...
    • Irregular luggage classification experiments using data from Tromsø airport 

      Jansson, Andreas Dyrøy; Bremdal, Bernt Arild; Remman, Espen (Chapter; Bokkapittel, 2023-09-22)
      This paper examines the current state-of-the-art in object tracking and detection in the context of baggage handling systems using a variety of technologies, with special interest in image classification. Data collection at Tromsø Airport using simple and inexpensive equipment in order to capture images of different types of luggage will be described. Furthermore, a selection of three relevant ...
    • Towards automatic generation of image recognition models for industrial robot arms 

      Arnarson, Halldor; Bremdal, Bernt Arild; Hanssen, Magnus Fredheim (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-12)
      As the world moves towards mass customization, there is a need for a manufacturing system that can quickly adapt to market changes. Reconfigurable manufacturing systems (RMS) have been proposed as a solution. RMS is designed to be modular with a high degree of flexibility. However, such a structure creates a lot of complexity. For instance, if the modules are moved or changed, the robot arms in the ...
    • Predicting Peak Prices in the Current Day-Ahead Market 

      Bremdal, Bernt Arild; Dadman, Shayan (Chapter; Bokkapittel, 2023-06)
      The work presented has studied price developments in the day-ahead market. The statistical properties inherent in the time series constituting the day-to-day prices have been investigated. It is shown that these properties are radically different in 2022 than former years and resemble more chance like properties for which make predicting future peak prices especially hard. To overcome this, a space ...
    • Using Light Weight Electric Vehicles for V2G services in the Arctic 

      Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-06)
      The proposed paper documents research carried out in the Smart Charge project. This project has investigated the use of electric snowmobiles for V2G purposes. Electric snowmobiles and ATVs have been introduced in remote areas in the Arctic to replace the fossil fuelled vehicles that dominate today. Electric versions of these can add extra loads to the local electricity grid. But they can also be ...
    • Evaluating of melting-ice process in a vertical pipe with consideration of net sensible heat 

      Nguyen, Hung Thanh; Gjerløw, Eirik; Huynh, Minh-Thu T. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-19)
      In ice-melting process, motion of liquid–solid interface is complicated due to moving boundary, which is also called Stefan interface problem. Although the Stefan model has been widely utilized, it frequently overestimates the melting rate. In the present study, the net-sensible-heat of the phases are taken into account as an additional physical effect to the Stefan model for one-phase case and ...
    • Wavelet neural networks versus wavelet-based naural networks 

      Dechevski / Dechevsky, Lubomir Todorov; Tangrand, Kristoffer Meyer (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      This is the first paper in a sequence of studies including also [#!llhm2022!#] and [#!llhm2022_1!#] in which we introduce a new type of neural networks (NNs) – wavelet-based neural networks (WBNNs) – and study their properties and potential for applications. We begin this study with a comparison to the currently existing type of wavelet neural networks (WNNs) and show that WBNNs vastly outperform ...
    • A General Framework for Measuring and Reporting Sustainability of the Aquaculture Industry 

      Solvang, Wei Deng; Nagarajan, Akshay; Thordarson, Diana Santalova (Chapter; Bokkapittel, 2023-01-26)
      It has been a paradigm shift for the aquaculture industry in the current parallel era of circular economy, green shift, and Industry 4.0. As one of the world’s largest industries with a long-lasting and significant influence on global prosperity, national economy, food safety, and public health, the importance of sustainability of the aquaculture industry cannot be underestimated. One of the challenges ...