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Backlash estimation for industrial flexible drive-train systems
(Journal article; Peer reviewed, 2017)Backlash in gearing and other transmission components is a common positioning-degrading phenomenon that develops over time in industrial machines. High-performance machine tool controls use backlash compensation algorithms ... -
Balancing Solar Energy and Load Consumption given Different Load Consumption Profiles
(Master thesis, 2020)I de kommende årene vil presset på kraftnettet øke på grunn av den storstilte elektrifiseringen som skjer i samfunnet i dag. For å forhindre de potensielle problemene dette medfører for kraftnettet på en kostnadseffektiv ... -
Banefølging for selvgående terrengkjøretøy med Model Predicitive Control
(Master thesis, 2018)Denne oppgaven omhandler banefølging for et selvgående terrengkjøretøy med Model Predicitve Control. Et litteratursøk ble gjennomført om metoder for banefølgere og Model Predicitve Control, og brukt som grunnlag for ... -
Battery power smoothing control in a marine electric power plant using nonlinear model predictive control
(Journal article; Peer reviewed, 2016)This brief presents a power variation smoothing method using batteries on a weak ship grid. For some marine vessels, power fluctuations on the ac grid are large. This results in the large variations in the electrical ... -
Bayesian Bridging Distribution Analysis for Model Based Intent and Long-term Prediction of Vessels
(Master thesis, 2021)For å sørge for at autonome overflatefartøyer er sikre for bruk blant den allerede eksisterende trafikk, da må den være utstyrt med et antikollisjonssystem. En viktig del av et slikt system er evnen til å kunne oppdage ... -
Bayesian neural networks for virtual flow metering: An empirical study
(Peer reviewed; Journal article, 2021)Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as ... -
Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data
(Peer reviewed; Journal article, 2021)Biological, environmental, economic and ethical issues become increasingly pertinent as the scale of the aquaculture industry expands. This study used acoustic telemetry data and wavelet analysis to investigate behavioural ... -
Better Real-Time Capabilities For The AVR32 Linux Kernel
(Master thesis, 2007)I denne oppgaven er sanntidsegenskapene til AVR32 Linux kernel forbedret. High resolution timers og dynamic ticks og fully preemptible kernel. -
Bevegelsesplanlegging og regulering av mobile robotmanipulatorer
(Master thesis, 2011)Mobile robot manipulators will be prevalent in addressing many future needs such as contributing to the caring for an aging population, as well as monitoring environmental pollution and removing contamination. However, a ... -
Bevegelsesplanlegging og regulering av mobile robotmanipulatorer
(Master thesis, 2011)Når en mobil robot begir seg ut i et dynamisk miljø for å utføre enoppgave er det mye den må ta hensyn til. Ikke bare må roboten holderede på hvor den er og hvor den skal, den må også sørge for at kinematiske,dynamiske og ... -
Bevegelsesstyring av robotarm og kamera med kollisjonsunngåelse
(Master thesis, 2010)Denne rapporten beskriver videreutvikling av et system hvor en robotarmfjernstyres over nettverk, og som overfører stereoskopisk video i sanntid tiloperatøren. Gjennom en hodemontert fremvisningsenhet opplever operatørenderfor ... -
Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship
(Chapter, 2019)A modern ship is fitted with numerous sensors and Data Acquisition Systems (DAQs) each of which can be viewed as a data collection source node. These source nodes transfer data to one another and to one or many centralized ... -
Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
(Journal article; Peer reviewed, 2018)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
(Peer reviewed, 2019)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
Biological Cell Models and Atomic Force Microscopy - Parameter Estimation with Parallel Computing
(Master thesis, 2016)Through several decades, mathematical models have been used to describe real systems. Studying these mathematical models can give us important information about the system and its behavior. The Atomic Force Microscopy (AFM) ... -
Biological Cell Models and Atomic Force Microscopy: A Literature Review
(Master thesis, 2015)Mechanical properties of cells can be used in diagnostics of various diseases. It has been proven, by several independent research groups, that sick and healthy cells differ in stiffness. Being able to extract this information ... -
Biometric recognition and individual tracking of salmon in large-scale sea cages
(Master thesis, 2018)In this project a method for tracking and biometric identification of salmon in large scale sea cages using machine vision cameras and techniques has been developed. This has been done by finding unique point patterns in ... -
Biometric system using EEG signals from resting-state and one-class classifiers
(Master thesis, 2020)I denne masteroppgaven er et EEG-basert biometrisk system implentert. Målet er å undersøke muligheten for å authentisere personer basert på EEG signaler. Systemet er realiesert i sanntid gjennom en python applikasjon. En ... -
Biomonitoring using tagged sentinel fish and acoustic telemetry in commercial salmon aquaculture: A feasibility study
(Journal article; Peer reviewed, 2017)We tested if it is technically feasible to monitor fish in real-time in full-scale commercial fish farms using acoustic telemetry. 31 Atlantic salmon were equipped with acoustic transmitter tags containing depth sensors. ...