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Enhanced communication support between control room and field operation: Human communication and interaction
(Master thesis, 2007)Communication between the field operator and the control room operator is vital for successful operation in the process industry. By reviewing models for human cognition and interpersonal communication and collaboration ... -
Enhanced Hydroacoustic Range Robustness of Three-Stage Position Filter based on Long Baseline Measurements with Unknown Wave Speed
(Journal article; Peer reviewed, 2016)This paper considers the problem of constructing a globally convergent position-and velocity estimator with close-to-optimal noise properties using hydroacoustic long baseline measurements. Three ways of improving the range ... -
Enhanced Model Predictive Control:Dual Control Approach and State Estimation Issues
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:235, Doctoral thesis, 2010)The main contribution of this thesis is the advancement of Model Predictive Control (MPC). MPC is a well known and widely used advanced control technique, which is model-based and capable of handling both input and ... -
Enhanced Motion Control for Robots
(Master thesis, 2024)Denne masteroppgaven utforsker detaljene i robotbevegelseskontroll innenfor rammeverket for simultan lokalisering og kartlegging (SLAM). Med fokus på å forbedre presisjonen og påliteligheten til robotnavigasjon, gjennomfører ... -
Enhancement of Noisy Speech Using Deep Learning
(Master thesis, 2021)Abstract will be available on 2024-01-11 -
Enhancing Autonomous Systems’ Awareness: Conceptual Categorization of Anomalies by Temporal Change During Real-Time Operations
(Chapter, 2022)The Unmanned Autonomous Systems (UAS) are anticipated to have a permanent role in offshore operations, enhancing personnel, environmental, and asset safety. These systems can alert onshore operators of hazardous occurrences ... -
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions
(Peer reviewed; Journal article, 2024)With the recent wave of digitalization, specifically in the context of safety–critical applications, there has been a growing need for computationally efficient, accurate, generalizable, and trustworthy models. Physics-based ... -
Enhancing Model Predictive Control for Non-Continuous Actuators in the Oil and Gas Industry: A Mixed Integer MPC Approach
(Master thesis, 2023)Effektive kontrollsystemer er avgjørende for å oppnå høy produktivitet og økte inntekter innen olje- og gassindustrien. Modellbasert prediktiv kontroll (Model Predictive Control, MPC) har blitt en mye brukt teknikk for ... -
Enhancing Sleep-Wake Detection Using Deep Learning and Optimal Channel Selection from High-Density EEG
(Master thesis, 2023)Denne masteroppgaven utforsker den utfordrende men viktige oppgaven med å klassifisere våkenhet fra søvn ved bruk av elektroencefalografi (EEG) data, som er viktig i både kliniske og hjemmemiljøer. Ettersom søvnforstyrrelser ... -
Enhancing Teaching Methods on Embedded Systems with Project-Based Learning
(Chapter, 2018)Automation engineering departments must continuously develop their laboratories and pedagogical tools to provide their students with effective study plans. While acquiring state-of-the-art equipment can be financially ... -
Enhancing the robustness of meal onset detection by sensor fusion
(Master thesis, 2020)Abstract will be available on 2023-06-01 -
Enhetlig visjonsbasert autonom navigasjon for roboter
(Master thesis, 2015)Motivasjonen til denne avhandlinga er å undersøke bruken av eit kamera som sensor for autonome bakkerobotar. Noverande autonome system nyttar som regel optisk fjernmålingsteknikkar som lidar, i tillegg til GPS-posisjonering. ... -
Ensemble Kalman Filtering for State and Parameter Estimation on a Reservoir Model
(Master thesis, 2007)In reservoir management it is important with reservoir models that have good predictive abilities. Since the models initially are based on measurements with high uncertainties it is important to utilize new available data. ... -
An ensemble modelling approach for spatiotemporally explicit estimation of fish distributions using data assimilation
(Journal article; Peer reviewed, 2023)This article presents a novel method for estimating large scale spatiotemporal distribution patterns of fish populations modelled at the individual level. A single realization of an individual-based model calibrated on ... -
Ensuring Soft Switching During Transient Operations of Wireless Power Transfer Systems with Frequency Control
(Chapter, 2022)The high switching frequency of wireless power transfer systems makes soft switching important due to switching losses. In the current literature, numerous solutions have been proposed for maintaining soft switching within ... -
An environmental disturbance observer framework for autonomous surface vessels
(Peer reviewed; Journal article, 2023)This paper proposes a robust disturbance observer framework for maritime autonomous surface vessels considering model and measurement uncertainties. The core contribution lies in a nonlinear disturbance observer, reconstructing ... -
EPP-basert protesemodell
(Master thesis, 2011)Oppgaven er en fortsettelse av tidligere arbeid med å utvikle en EPPbasertprotsese med to frihetsgrader til en ung dysmelipasient som hartransversell armdysmeli med en rudimenter nger. Denne ngeren skalbrukes til å styre ... -
Error Detection and Correction for Low-Cost Nano Satellites
(Master thesis, 2013)The objective of this paper is to suggest low-cost measures for dependability and robust Error Detection and Correction for use in applications such as nano satellites, where price is a primary concern. Different methods ... -
Error Detection and Correction for Low-Cost Nano Satellites
(Master thesis, 2013)The objective of this paper is to suggest low-cost measures for dependability and robust Error Detection and Correction for use in applications such as nano satellites, where price is a primary concern. Different methods ... -
Estimating Glucose Appearance Rate in Blood After Meal Digestion using Sequential Machine Learning
(Master thesis, 2022)Diabetes mellitus er en sykdom der kroppens evne til å regulere glukosenivået blir hemmet av manglende insulinproduksjon i bukspyttkjertelen. Det finnes per dags dato ingen kur for denne sykdommen, men flere utforsker ...