Browsing NTNU Open by Title
Now showing items 83230-83249 of 100790
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Spar floating wind turbine design optimization with concrete substructures
(Master thesis, 2023)Denne avhandlingen undersøker gjennomførbarheten av å inkorporere betongstrukturer i en optimaliseringsmodell, basert på to forenklede spar-strukturer utviklet av Oh et al. [55] for å støtte en 10 MW DTU vindturbin [2]. ... -
SPAR Type Offshore Wind Turbine Subjected to Ship Impacts
(Master thesis, 2021)Et økende fokus på fornybar energi har ført til en rask utvikling av havvindindustrien de siste årene. For å takle det økende kraftbehovet økes størrelsen av vindturbinene og de flyttes lenger offshore. Det fører til at ... -
Spar-type vertical-axis wind turbines in moderate water depth: A feasibility study
(Journal article; Peer reviewed, 2018)The applications of floating vertical-axis wind turbines (VAWTs) in deep water have been proposed and studied by several researchers recently. However, the feasibility of deploying a floating VAWT at a moderate water depth ... -
Spare Parts Evaluation in the Oil and Gas Industry
(Master thesis, 2015)The main objective of this master thesis is to develop a generic spare parts evaluation process flow based on NORSOK Z-008 and the daily practice in the Norwegian oil and gas industry. Additionally, a case study has been ... -
Spare Parts Management Methodology Development and Cost Evaluation - For offshore production facilities
(Master thesis, 2017)In the aftermath of the drop in oil price in 2014, the global energy industry has been in constant search for new business areas and more cost efficient solutions in order to stay competitive. The industry quickly recognized ... -
Spark Joy and Slow Acquisition: the KonMari Method and its Impact on Moments of Consumption
(Chapter, 2019)Circular economy (CE) models and practices have grown in influence and popularity over the last few years, particularly with respect to business and policy. The remit of the consumer however has been somewhat neglected, ... -
Spark Joy and Slow Consumption: An Empirical Study of the Impact of the KonMari Method on Acquisition and Wellbeing
(Journal article; Peer reviewed, 2021)In the context of resisting throwaway culture and aiming for a sufficiency-based circular economy, it is vital that consumption is slowed down—both in terms of reduced acquisition and reduction of the volumes of material ... -
Spark Plasma Sintering of Graphene Nanoplatelets Reinforced Aluminium 6061 Alloy Composites
(Chapter, 2020)Over the years, high performance lightweight aluminium matrix composites have, mainly due to their excellent mechanical properties, found wide applications in automobile and aerospace applications. In the present study, ... -
Spark Plasma Sintering of Silicon Carbide and the Effect of α-SiC and β-SiC on Sintering Properties
(Master thesis, 2022)Silisiumkarbid (SiC) er kjent for sine utmerkede termiske og mekaniske egenskaper, noe som gjør det nyttig innen mange bruksområder. Egenskaper som høy hardhet og styrke ved høy temperatur skyldes de sterke kovalente ... -
Sparrows of Despair: Migration as a Signalling Device for Dysfunctional States in Europe
(Journal article; Peer reviewed, 2017)This article considers the utility of emigration figures for signalling political dysfunction in Europe. If given a choice, most people would prefer not to leave friends, family and homes in order to find work. By assuming ... -
Sparse Actuator and Sensor Attacks Reconstruction for Linear Cyber-physical Systems with Sliding Mode Observer
(Peer reviewed; Journal article, 2021)Driven by the rapid development of modern industrial processes, cyber-physical systems (CPSs), which tightly conjoin computational and physical resources, have become ever-more prevalent during recent years. However, due ... -
Sparse coded handcrafted and deep features for colon capsule video summarization
(Journal article, 2017)Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy. A single examination produces a sequence of approximately 50,000 frames. ... -
Sparse deep neural networks for modeling aluminum electrolysis dynamics
(Peer reviewed; Journal article, 2023)Deep neural networks have become very popular in modeling complex nonlinear processes due to their extraordinary ability to fit arbitrary nonlinear functions from data with minimal expert intervention. However, they are ... -
Sparse factorization of square matrices with application to neural attention modeling
(Peer reviewed; Journal article, 2022)Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation is needed. Conventional approximation ... -
Sparse Identification of Nonlinear Dynamics in Digital Twins for an Unmanned Surface Vessel
(Master thesis, 2023)Ubemannede overflatefartøy (USVer) er fartøy som opererer autonomt på vannets overflate eller styres eksternt. Disse systemene er gunstige på grunn av kostnadsreduksjon, operasjonell fleksibilitet og sikkerhet. Forståelsen ... -
Sparse IR sensor EKF-SLAM for MQTT-SN/Thread connected robot
(Master thesis, 2022)Robot-prosjektet også kjent som SLAM-prosjektet er et resultat av flere studentbidrag til et system bestående av flere roboter med trådløstilkobling til en lokal serverapplikasjon. Systemets formål er å kartlegge et innendørs ... -
Sparse linear algebra on a GPU: with Applications to flow in porous Media
(Master thesis, 2009)We investigate what the graphics processing units (GPUs) have to offer compared to the central processing units (CPUs) when solving a sparse linear system of equations. This is performed by using a GPU to simulate fluid-flow ... -
A sparse matrix formulation of model-based ensemble Kalman filter
(Peer reviewed; Journal article, 2023)We introduce a computationally efficient variant of the model-based ensemble Kalman filter (EnKF). We propose two changes to the original formulation. First, we phrase the setup in terms of precision matrices instead of ... -
Sparse model selection in the highly under-sampled regime
(Journal article, 2016)We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bonds between pairs of variable by considering ... -
Sparse neural networks with skip-connections for nonlinear system identification
(Peer reviewed; Journal article, 2023)