Recent additions

  • Finite element simulation of transmission and reflection of acoustic waves in the ultrasonic transducer 

    Shukla, Kaushik; Ahmad, Azeem; Ahluwalia, Balpreet Singh; Melandsø, Frank; Habib, Anowarul (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-30)
    In scanning acoustic microscopy (SAM), the image quality depends on several factors such as noise level, resolution, and interaction of the waves with sample boundaries. The theoretical equations for the reflection coefficient and transmission coefficient are suitable for plane boundaries but fail for curved/rough boundaries. We presented a finite element method-based modeling for the loss ...
  • Plasma-neutral gas interactions in various space environments: Assessment beyond simplified approximations as a Voyage 2050 theme 

    Yamauchi, Masatoshi; De Keyser, Johan; Parks, George; Oyama, Shin-ichiro; Wurz, Peter; Abe, Takumi; Beth, Arnaud; Daglis, Ioannis A.; Dandouras, Iannis; Dunlop, Malcolm; Henri, Pierre; Ivchenko, Nickolay; Kallio, Esa; Kucharek, Harald; Liu, Yong C.-M.; Mann, Ingrid; Marghitu, Octav; Nicolaou, Georgios; Rong, Zhaojin; Sakanoi, Takeshi; Saur, Joachim; Shimoyama, Manabu; Taguchi, Satoshi; Tian, Feng; Tsuda, Takuo; Tsurutani, Bruce; Turner, Drew; Ulich, Thomas; Yau, Andrew; Yoshikawa, Ichiro (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-26)
    In the White Paper, submitted in response to the European Space Agency (ESA) Voyage 2050 Call, we present the importance of advancing our knowledge of plasma-neutral gas interactions, and of deepening our understanding of the partially ionized environments that are ubiquitous in the upper atmospheres of planets and moons, and elsewhere in space. In future space missions, the above task ...
  • Network Analysis and Boosting the Distribution to Local Consumers at Northern Senja, Norway with Potential Renewable Generation using Power Flow Control 

    Rochmann, Karl Henrik (Master thesis; Mastergradsoppgave, 2022-06-08)
    Renewable generation and power flow control are increasing its importance for power systems. The promising development in the technology increases the efficiency for transferring energy. With increasing consumption, remote locations benefit from close laying power production due to reduced transfer losses. In these recent years, energy storage system and local renewable energy production injected ...
  • Solar Photovoltaic Potential on Commercial Buildings in Arctic Latitudes 

    Larsen, Andreas (Master thesis; Mastergradsoppgave, 2022-06-01)
    This thesis desires to study the use of solar resources in a less frequently used location, by exploring the use of a photovoltaic systems on the roof of a warehouse in Tromsø, Norway. The research is gathered using a 15 000 𝑚2 warehouse as the location, which has an annual energy consumption of 2,9 GWh. The solar resources at this location are highly dependent on season, with periods of polar ...
  • Assessment of Solar Photovoltaics and Wind Energy for Increased Electrification and Grid Independent Farming 

    Rüger, Moritz (Master thesis; Mastergradsoppgave, 2022-05-31)
    A solution towards increased electrification and reduced greenhouse gas emissions in the agriculture is local renewable energy production. Not only is it a sustainable and environmentally positive project, but with remarkably increasing electricity prices renewable energy projects can also be economically favorable for farmers, by reducing grid dependence and hence high electricity costs. In this ...
  • DC-Approximated Power System Reliability Predictions with Graph Convolutional Neural Networks 

    Haugseth, Fredrik Marinius (Master thesis; Mastergradsoppgave, 2022-05-30)
    The current standard operational strategy within electrical power systems is done following deterministic reliability practices. These practices are deemed to be secure under most operating situations when considering power system security, but as the deterministic practices do not consider the probability and consequences of operation, the operating situation may often become either too strict or ...
  • Generating customer's credit behavior with deep generative models 

    Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-17)
    Banks collect data x<sub>1</sub> in loan applications to decide whether to grant credit and accepted applications generate new data x<sub>2</sub> throughout the loan period. Hence, banks have two measurement-modalities, which provide a complete picture about customers. If we can generate x<sub>2</sub> conditioned on x<sub>1</sub> keeping the relationship between these two modalities, credit and ...
  • Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels 

    Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-11)
    Recent work has shown that label-efficient few-shot learning through self-supervision can achieve promising medical image segmentation results. However, few-shot segmentation models typically rely on prototype representations of the semantic classes, resulting in a loss of local information that can degrade performance. This is particularly problematic for the typically large and highly heterogeneous ...
  • Klimasatsing i kystfiskehavner: En analyse av energibruk på fangst- og mottaksleddet i kystfiskeflåten 

    Høyli, Randulf; Aarsæther, Karl Gunnar (Research report; Forskningsrapport, 2022-03-01)
    Analyse av energibruk i fangst- og mottaksleddet viser at drivstofforbruk i flåteleddet representerer den største andelen av totalt energibruk for produksjon av ferskfisk, tørrfisk og frossenfisk. Vi finner at fartøy under 15 meter i gjennomsnitt driver mest drivstoffeffektivt fiske, sammenlignet med den øvrige kystfiskeflåten i Flakstad kommune. Vi estimerer at flåtens CO2-utslipp er økende fra ...
  • Dataset of fitness trackers and smartwatches to measuring physical activity in research 

    Henriksen, André; Woldaregay, Ashenafi Zebene; Muzny, Miroslav; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter; Grimsgaard, Sameline (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-16)
    Objectives: Accelerometer-based wrist-worn ftness trackers and smartwatches (wearables) appeared on the consumer market in 2011. Many wearable devices have been released since. The objective of this data paper is to describe a dataset of 423 wearables released before July 2017.<p> <p>Data description: We identifed wearables and extracted information from six online and ofine databases. We ...
  • Tectonic evolution of the Indio Hills segment of the San Andreas fault in southern California, southwestern USA 

    Koehl, Jean-Baptiste P.; Bergh, Steffen Gunnar; Sylvester, Arthur G. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-01)
    Transpressional uplift domains of inverted Pliocene–Pleistocene basin fill along the San Andreas fault zone in Coachella Valley, southern California (USA), are characterized by fault linkage and segmentation and deformation partitioning. The Indio Hills wedge-shaped uplift block is located in between two boundary fault strands, the Indio Hills fault to the northeast and the main San Andreas fault ...
  • Ammonium and Sulfate Assimilation Is Widespread in Benthic Foraminifera 

    LeKieffre, Charlotte; Jauffrais, Thierry; Bernhard, Joan M.; Filipsson, Helena L.; Schmidt, Christiane; Roberge, Helene; Maire, Olivier; Panieri, Giuliana; Geslin, Emmanuelle; Meibom, Anders (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-20)
    Nitrogen and sulfur are key elements in the biogeochemical cycles of marine ecosystems to which benthic foraminifera contribute significantly. Yet, cell-specific assimilation of ammonium, nitrate and sulfate by these protists is poorly characterized and understood across their wide range of species-specific trophic strategies. For example, detailed knowledge about ammonium and sulfate assimilation ...
  • Marine natural product inspired synthesis towards new antimicrobial and antifouling agents 

    Langer, Manuel Karl (Doctoral thesis; Doktorgradsavhandling, 2022-08-30)
    Natural products (NPs) have been the major source for the development of new small molecule drugs in modern medicine. Despite NPs being so prominent, marine natural products (MNPs) and derivatives thereof are hardly found in clinically approved agents. Therefore, using bioactive MNPs as structural guidance for drug development is a largely untapped source. The focus of the presented thesis is on ...
  • Building Organizational Resilience Through Organizational Learning: A Systematic Review 

    Evenseth, Lise Lotte; Sydnes, Maria; Gausdal, Anne Haugen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-25)
    With organizational environments becoming increasingly complex and volatile, the concept of “organizational resilience” has become the “new normal”. Organizational resilience is a complex and multidimensional concept which builds on the myriad of capabilities that an organization develops during its lifecycle. As learning is an inherent and essential part of these developments, it has become a ...
  • Electric Aviation: A review of concepts and enabling technologies 

    Adu-Gyamfi, Bright Appiah; Good, Clara (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-29)
    Electric aviation has become an important area of research following the rapid growth of the aviation industry, which directly corresponds to significant growth in aviation-related emissions. Despite the promising emission reduction potential of electric airplanes, several technological and regulatory challenges restrict the realization of this new regime of sustainable air transport. Significant ...
  • Hydrological Modelling and Climate Change Impact Assessment on Future Floods in the Norwegian Arctic Catchments 

    Bui, Minh Tuan (Doctoral thesis; Doktorgradsavhandling, 2022-08-26)
    Climate change is expected to alter the hydrological cycle in the Arctic, which would result in the increase in intensity and frequency of hydrological extreme events such as flooding. Noticeably, the changes in flooding due to climate change would severely affect human life, infrastructures, the environment, ecosystem, and socio-economic development in the impacted areas. Hydrological models are ...
  • Evaluation of crystalline structure quality of Czochralski-silicon using near-infrared tomography 

    Jensen, Mathias Novik; Hellesø, Olav Gaute (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-22)
    In this work, three silicon samples are subject to tomographic scans using a 1.6μm laser. The samples were prematurely terminated due to anomalies during the Czhochralski-process. They are taken as analogues of the in situ crystal, where one sample has known aberrant structure in its lowermost 45 mm. The results of the tomographic scans show a distinct difference in transmission profile between ...
  • End-to-end Trainable Ship Detection in SAR Images with Single Level Features 

    Tiller, Markus (Master thesis; Mastergradsoppgave, 2022-06-01)
    Kongsberg Satellite Services (KSAT) use machine learning and manual analysis done by synthetic aperture radar (SAR) specialists on SAR images in real time to provide a ship detection service. KSATs current machine learning model has a limited ability to distinguish ships close to each other. For this reason, we aim to employ an end-to-end trainable object detection model, as they can better ...
  • Investigating and developing efficient federated learning for air pollution monitoring 

    Reinnes, Jørgen (Master thesis; Mastergradsoppgave, 2022-06-01)
    Location-based data may be considered highly private; as such, handling location-based data requires that it cannot be used to track a user. In a network of multiple edge devices that each collect data, training a machine learning model would typically involve transmitting the data securely to a central server which requires strict privacy rules. Federated learning solves the privacy problem ...
  • Correctness Criteria for Function-Based Reclassifiers: A Language Based Approach 

    Hansen, Steinar Brenna (Master thesis; Mastergradsoppgave, 2022-06-01)
    An emerging problem in systems security is controlling how a program uses the data it has access to. Information Flow Control (ifc) propagates restrictions on data by following the flow of information, for example if a secret value flows to a public value, that value should be considered secret as well. A common problem in ifc is reclassification of data, for instance to explicitly make data ...

View more