Blar i Institutt for teknisk kybernetikk på tittel
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IMU for Transportation Units
(Master thesis, 2012)This thesis is made upon a request from Cargosafe Systems., where the overall goal is to develop a motion based Data-logger. The project initiated by Cargosafe is developed in collaboration with the Norwegian University ... -
In Silico Control of Blood Glucose in Intensive Care Patients
(Master thesis, 2017)GlucoSet AS has developed an intravenous continuous sensor for blood glucose measurement in intensive care units and wishes to test their hypothesis that blood glucose control with continuous glucose monitoring offers an ... -
In Vitro Setup for Coronary Circulation with Ventricular Motion
(Master thesis, 2017)Blood and tissue motion can be detected using Doppler ultrasound. However, in a complex system such as the human body, the blood is not the only matter in motion. Doppler signals reflected by blood are often disturbed by ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
(Peer reviewed; Journal article, 2023)Biodegradable Magnesium (Mg) based implants have several advantages over non-biodegradable metallic implants as they have mechanical properties close to the natural bone. Monitoring the interaction of magnesium with tissue ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
(Peer reviewed; Journal article, 2023)Biodegradable magnesium-based implants offer mechanical properties similar to natural bone, making them advantageous over nonbiodegradable metallic implants. However, monitoring the interaction between magnesium and tissue ... -
In-Flight Attitude Control of a Quadruped in Low-Gravity Environments using Deep Reinforcement Learning
(Master thesis, 2024)I denne masteroppgaven utvikles det en regulator for den romlige orienteringen til en egenutviklet robothund, kun ved bruk av robotens egne bein som reaksjonsmasser for rotasjon. Regulatoren utvikles, eller trenes, med dyp ... -
In-Flight Attitude Control of a Quadruped in Low-Gravity Environments using Deep Reinforcement Learning
(Master thesis, 2024)I denne masteroppgaven utvikles det en regulator for den romlige orienteringen til en egenutviklet robothund, kun ved bruk av robotens egne bein som reaksjonsmasser for rotasjon. Regulatoren utvikles, eller trenes, med dyp ... -
In-line måling av kopepodetetthet basert på maskinsyn
(Master thesis, 2013)Oppdrettsindustrien er på konstant søk etter nye typer fôr som kan bidra til å øke overlevelsesraten og vekstvilkårene til oppdrettsfisk, i tillegg til å gjøre det mulig å få til oppdrett på nye arter. En av de største ... -
In-transit cargo transfer between ships
(Master thesis, 2009)Cargo transfer between two vessels at sea requires the ramp connection between the vessels to be as stable as possible. The complex nature of the system makes employing control methods difficult. This thesis explores two ... -
Incident detection and isolation in drilling using analytical redundancy relations
(Journal article; Peer reviewed, 2015-08)Early diagnosis of incidents that could delay or endanger a drilling operation for oil or gas is essential to limit field development costs. Warnings about downhole incidents should come early enough to allow intervention ... -
Incipient Actuator Fault Handling in Nonlinear Model Predictive Control
(Journal article; Peer reviewed, 2017)This paper presents a reconfigurable nonlinear model predictive control (NMPC) scheme for handling of incipient actuator faults in nonlinear plants. The scheme seeks to ensure recoverability from an incipient actuator fault ... -
Incorporating set-based control within the singularity-robust multiple task-priority inverse kinematics
(Journal article; Peer reviewed, 2015)Inverse kinematics is an active research domain in robotics since several years due to its importance in multiple robotics application. Among the various approaches, differential inverse kinematics is widely used due to ... -
Increased Energy Efficiency in Buildings using Model Predictive Control
(Master thesis, 2011)The main objective in this thesis is to explore if a model predictive control scheme can increase the energy efficiency in office buildings with waterborne heating systems. The number of office buildings is constantly ... -
Increasing Validity and Uncovering Utility in Machine Learning Studies: An Illustrative Approach to Essential Concepts and Procedures in Model Development and Assessment
(Master thesis, 2021)De siste årene har det skjedd store fremskritt innen dyp læring. I takt med stadig økende tilgang på datakraft og brukervennelige maskinlæringsmetoder, har stadig flere forskningsdisipliner tatt i bruk dyp læring. Mange ... -
Incremental Self-Deployment of Multi-Agent Networks in Unknown Environments
(Master thesis, 2021)Utrykkningspersonell i søk- og redningsoperasjoner utsetter seg ofte for ukjente og farlige miljøer. Med den økende kapasiteten til mikrodroner og andre mobile robot-teknologier, kan noen av risikoene utrykkningspersonell ... -
Incremental self-deployment using virtual potential fields
(Master thesis, 2021)Denne avhandlingen undersøker hvordan mikrodroner kan trinnvis bli sendt inn i et ukjent område for å muliggjøre lokalisering av førsterespondere. Førsterespondere er de første som entrer et katastrofeområde og setter sine ... -
Independent component analysis: A tool for algal bloom detection
(Peer reviewed; Journal article, 2023)Independent component analysis decomposition of hyperspectral signals has characteristics ideal for detecting harmful algal blooms in coastal waters. In this proceeding, independent component analysis is used to process ... -
Indirect Finite Control Set Model Predictive Control of Modular Multilevel Converters
(Journal article; Peer reviewed, 2015)The modular multilevel converter (MMC) is a potential candidate for medium/high-power applications, specifically for high-voltage direct current transmission systems. One of the main challenges in the control of an MMC ... -
Indirect Model Predictive Control with Sparse Nonlinear Regression on Erdös-Rényi-generated Bernoulli-SIR Network Models
(Journal article; Peer reviewed, 2023)Epidemiological modeling is important in order to be able to predict and mitigate the consequences of epidemics. Disease transmission network models can be used to model epidemics on a detailed level, which in turn can ... -
Individual based modelling and observation of Atlantic salmon (Salmo salar L.) behaviour in sea cages
(Doktoravhandlinger ved NTNU, 1503-8181; 2011:322, Doctoral thesis, 2011)To develop safe and efficient cage management strategies for marine Atlantic salmon farming it is of paramount importance to understand how the fish behave in response to the culture environment. Most behavioural information ...