Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Title
Now showing items 20196-20215 of 20809
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Vanntrevekst i mekanisk og elektrisk påkjente PEX-kabler
(Master thesis, 2011)Vanntredegradering er identifisert som en mekanisme som kan redusere levetiden til polymerisolerte kabler. Vanntrær vokser i elektrisk påkjente polymerisolerte kabler som utsettes for fuktige omgivelser. Kabler som skal ... -
VaR Estimation for Crude Oil Data via Different Approaches: Historical Simulations, EVT Model, and ACER Method
(Master thesis, 2018)This thesis implements different approaches to predict the one-day ahead Value at Risk (VaR) of crude oil return data. The Historical Simulation (HS) approach, a non-parametric model, randomly resamples past observations ... -
Variability Characteristics of European Wind and Solar Power Resources — A Review
(Journal article; Peer reviewed, 2016)This paper reviews the most recent and relevant research into the variability characteristics of wind and solar power resources in Europe. The background for this study is that wind and solar resources will probably ... -
Variable Flux Permanent Magnet Synchronous Machines: Building and Testing Simple Designs with High-Coercivity Magnets
(Master thesis, 2018)Variable flux permanent magnet synchronous machines (VF-PMSMs) use a novel operation concept based on changing the magnetization level of the permanent magnets in accordance with variations in speed and torque. This may ... -
Variable Selection and Redundancy in Multivariate Regression Models
(Journal article, 2022)Variable selection is a topic of interest in many scientific communities. Within chemometrics, where the number of variables for multi-channel instruments like NIR spectroscopy and metabolomics in many situations is larger ... -
Variable selection in Cox-models using the L1-regularization path algorithm
(Master thesis, 2010)The thesis give an overview of survival modelling and inference in Cox-models with high-dimensional covariates. -
Variable Speed Hydropower Conversion and Control
(Peer reviewed; Journal article, 2020)The objective of this paper is to develop and analyse a variable speed hydropower (VSHP) model that can aid the design of controllers that maximize the utilization of power plant for the provision of ancillary services, ... -
Variable speed hydropower plant with virtual inertia control for provision of fast frequency reserves
(Journal article; Peer reviewed, 2020) -
Variable Speed Pumped Storage Hydropower for Balancing Variable Power Production in Continental Europe
(Master thesis, 2013)Fyll inn. -
Variable step size commutator free Lie group integrators
(Journal article; Peer reviewed, 2019)We introduce variable step size commutator free Lie group integrators, where the error control is achieved using embedded Runge–Kutta pairs. These are schemes for the integration of initial value problems posed on homogeneous ... -
Variable-speed operation of hydropower plants: past, present, and future
(Journal article; Peer reviewed, 2018)In This article, the state of the art in the variable-speed operation of hydropower plants is reviewed, with a focus on pumped-storage hydropower. Relevant literature is reviewed to address the benefits of variable-speed ... -
Variance-Based Exploration for Learning Model Predictive Control
(Peer reviewed; Journal article, 2023)The combination of model predictive control (MPC) and learning methods has been gaining increasing attention as a tool to control systems that may be difficult to model. Using MPC as a function approximator in reinforcement ... -
Variantbegrensning av IKT-systemer i Forsvaret – krefter og motkrefter
(Master thesis, 2023)Forsvaret har fått kraftig kritikk på flere områder innenfor informasjons- og kommunikasjonsteknologi (IKT), blant annet for manglende måloppnåelse når det gjelder å redusere antall IKT-systemer og øke evnen til samhandling. ... -
Variantbegrensning av IKT-systemer i Forsvaret – krefter og motkrefter
(Master thesis, 2023)Forsvaret har fått kraftig kritikk på flere områder innenfor informasjons- og kommunikasjonsteknologi (IKT), blant annet for manglende måloppnåelse når det gjelder å redusere antall IKT-systemer og øke evnen til samhandling. ... -
Variation for Piecewise Constant Functions on Triangular Meshes with Applications in Imaging
(Journal article, 2023)We propose a novel discrete concept for the total generalized variation (TGV), which was originally derived to reduce the staircasing effect in classical total variation regularization, in image denoising problems. We ... -
Variational Anisotropic Gradient-Domain Image Processing
(Peer reviewed; Journal article, 2021)Gradient-domain image processing is a technique where, instead of operating directly on the image pixel values, the gradient of the image is computed and processed. The resulting image is obtained by reintegrating the ... -
Variational Approach for Capsule Video Frame Interpolation
(Journal article; Peer reviewed, 2018)Capsule video endoscopy, which uses a wireless camera to visualize the digestive tract, is emerging as an alternative to traditional colonoscopy. Colonoscopy is considered as the gold standard for visualizing the colon and ... -
Variational based smoke removal in laparoscopic images
(Journal article; Peer reviewed, 2018)Background In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces errors for the image processing algorithms (used in image guided surgery), but also reduces the ... -
Variational image regularization with Euler's elastica using a discrete gradient scheme
(Journal article; Peer reviewed, 2018)This paper concerns an optimization algorithm for unconstrained nonconvex problems where the objective function has sparse connections between the unknowns. The algorithm is based on applying a dissipation preserving ... -
Variational Inference over Nonstationary Data Streams for Exponential Family Models
(Peer reviewed; Journal article, 2020)In many modern data analysis problems, the available data is not static but, instead, comes in a streaming fashion. Performing Bayesian inference on a data stream is challenging for several reasons. First, it requires ...