Viser treff 1601-1620 av 5304

    • 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 ...
    • Evolution of the Gállojávri ultramafic intrusion from U-Pb zircon ages and Rb-Sr, Sm-Nd and Lu-Hf isotope systematics 

      Orvik, Alf Andre; Slagstad, Trond; Sørensen, Bjørn Eske; Millar, Ian; Hansen, Harald (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-05)
      The Karasjok–Central Lapland Greenstone Belt is one of the largest Palaeoproterozoic greenstone belts in the Fennoscandian Shield and includes multiple (ultra)mafic intrusions, some with notable ore reserves, formed during three episodes at 2.44, 2.22 and 2.05 Ga. This study presents new mineralogical, geochronological and isotopic data for the Gállojávri ultramafic intrusion, in the Karasjok ...
    • Leadership styles and safety performance in high-risk industries: a systematic review 

      Ta, Thi Diem My; Kim, Tae-Eun; Gausdal, Anne Haugen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-03)
      The importance of leadership on safety has been well acknowledged and studied for many years in various high-risk industries. This paper aims at (1) synthesising the existing safety leadership research by performing a systematic literature review to gain an overview of the relationship between various leadership styles and safety performance in high-risk industries with a main focus on health and ...
    • Electron-neutral collisions effects on Langmuir probe in the lower E-region ionosphere 

      Brask, Steffen Mattias; Marholm, Sigvald; Di Mare, Francesca; Adhikari, Sayan; Spicher, Andres; Takahashi, T.; Miloch, Wojciech Jacek (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-21)
      We present the first set of particle-in-cell simulations including Monte Carlo collisions between charged and neutral particles used to simulate a cylindrical Langmuir probe in the electron saturation regime with a collisional electron sheath. We use a setup focused on the E-region ionosphere; however, the results of these simulations are analyzed in a general sense using dimensionless values. We ...
    • Role of conical intersection seam topography in the chemiexcitation of 1,2-dioxetanes 

      Fdez. Galván, Ignacio; Brakestad, Anders; Vacher, Morgane (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-06)
      Chemiexcitation, the generation of electronic excited states by a thermal reaction initiated on the ground state, is an essential step in chemiluminescence, and it is mediated by the presence of a conical intersection that allows a nonadiabatic transition from ground state to excited state. Conical intersections classified as sloped favor chemiexcitation over ground state relaxation. The chemiexcitation ...
    • Statistical Curve Analysis: Developing Methods and Expanding Knowledge in Health 

      Uteng, Stig (Doctoral thesis; Doktorgradsavhandling, 2022-08-19)
      <p>The analysis of curves can be claimed to be the core of most scientific ventures. In this dissertation, we focus on the statistical aspect of this type of analysis. Here, the curves originate from health and food-related areas and include improvements in blood glucose measurements, classification of moles, measurements of parameters during liver transplants in pigs, and data from the monitoring ...
    • The impact of atmospheric Rossby waves and cyclones on the Arctic sea ice variability 

      Hofsteenge, Marte G.; Graversen, Rune Grand; Rydsaa, Johanne Hope; Rey, Zoé (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-17)
      The Arctic sea-ice extent has strongly declined over recent decades. A large inter-annual variability is superimposed on this negative trend. Previous studies have emphasised a significant warming effect associated with latent energy transport into the Arctic region, in particular due to an enhanced greenhouse effect associated with the convergence of the humidity transport over the Arctic. The ...
    • A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy 

      Chen, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-30)
      Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences the wind energy models. This paper utilizes a comprehensive statistical analysis for analyzing predictive errors, named residuals of wind speed and direction modeled by numerical weather prediction models. The analysis, taken an Arctic wind site as an example, ...
    • Multidisciplinary biophotonics, open science, and. . . plug & pray deep learning? 

      Opstad, Ida Sundvor (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-06)
      Due to its great creative potential for innovation and scientific discovery, inter- and multidisciplinary collaboration is being increasingly encouraged by institutions and funding agencies. The increased opportunities in the multidisciplinary arena also come with significant challenges like the added experimental, analytical and logistical complexity, blended with a high likelihood of miscommunications. ...
    • Symmetries of supergeometries related to nonholonomic superdistributions 

      Kruglikov, Boris; Santi, Andrea; The, Dennis (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-06)
      We extend Tanaka theory to the context of supergeometry and obtain an upper bound on the supersymmetry dimension of geometric structures related to strongly regular bracket-generating distributions on supermanifolds and their structure reductions.
    • Statistical supervised learning with engineering data: a case study of low frequency noise measured on semiconductor devices 

      Gámiz, María Luz; Kalén, Anton; Nozal Cañadas, Rafael; Raya-Miranda, Rocío (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-04)
      Our practical motivation is the analysis of potential correlations between spectral noise current and threshold voltage from common on-wafer MOSFETs. The usual strategy leads to the use of standard techniques based on Normal linear regression easily accessible in all statistical software (both free or commercial). However, these statistical methods are not appropriate because the assumptions they ...
    • First steps towards solving the café problem 

      Ellingsen, Mariel Evelyn Markussen (Mastergradsoppgave; Master thesis, 2022-06-08)
      Hearing loss, and assistive technologies to compensate for the loss, are becoming more and more regular. Hearing aids have improved the quality of life for many suffering from hearing loss but are still insufficient in some social settings. The café problem rises when there are a group of people talking in a relatively noisy environment where one person has hearing aids. Even with modern advancements, ...
    • From Palm to Arm 

      Klevstad, Bernt Julian (Mastergradsoppgave; Master thesis, 2022-06-01)
      The number of people diagnosed with diabetes is increasing at an alarming rate. However, strong evidence shows that health information technology has improved medical outcomes, especially within the field of diabetes research. This thesis investigates how to motivate people with diabetes to perform self-management activities with the help of a smartwatch application. The work is grounded in a ...
    • Implementing Motivational Features for an Augmented Reality Game Encouraging Physical Activity for Persons with Intellectual Disabilities 

      Luzi, Thomas (Mastergradsoppgave; Master thesis, 2022-05-31)
      Evidence shows lower physical activity (PA) levels in persons with an intellectual disability (ID) compared to the general population. Physical activity promotes multiple health benefits, such as prolonged life and reduced risk for obtaining various chronic diseases. There are numerous applications targeting increased physical activity for the general population, but these tend to be too complex to ...