Blar i Institutt for teknisk kybernetikk på tittel
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Styresystem for ein snøggtilverkingsprosess
(Master thesis, 2008)Snøggtilverking eller rapid prototyping er eit samleomgrep for prosessarsom produserar mekaniske delar på ein rask, rimeleg og/eller enkel måte.Denne oppgåva handlar om utviklinga av eit styresystem til ein ny prosessfor ... -
Styresystem for fremdrift av Shell-Eco-marathon-kjøretøy: Utvikling og test av cruise control og menneske-maskin-interaksjon
(Master thesis, 2009)Shell Eco-marathon er en årlig konkurranse for lag fra hele Europa. Denne rapporten følger arbeidet med å bygge et styresystemet i bilen for NTNUs deltagelse i 2009. Dette er NTNUs andre deltagelse. Bilens karosseri har ... -
Styresystem for kybernetisk håndleddsprotese
(Master thesis, 2011)Et av de mer opplagte problemene som møter en person hvis arm har blitt erstattet med en protese, er reduksjonen i antall mulige bevegelser som en protese har i forhold til en frisk arm. Studier foretatt på friske armer, ... -
Styringsprinsipper for slangerobot ved hindringsbasert fremdrift
(Master thesis, 2012)Denne studien undersøker hvorvidt en slangerobots form er optimal med hensyn til hindringsmiljøet den befinner seg i. Et spesielt fokus blir gitt til utfordringen med å finne et optimalt sett med kontaktkrefter gitt ... -
Sub-pixel accuracy for motion, size and pose estimation of salmon from underwater stereo imaging
(Master thesis, 2022)I havbruksnæringen har det blitt mer populært å benytte seg av datasyn som et resultat av et stadig økende fokus på mindre ingripende observasjonsmetoder. Oppdrettere kan i dag benytte seg av høykvalitets kameraer for å ... -
Subject Identification from Low-Density EEG-Recordings of Resting-States: A Study of Feature Extraction and Classification
(Journal article; Peer reviewed, 2019)A new concept of low-density electroencephalograms-based (EEG) Subject identification is proposed in this paper. To that aim, EEG recordings of resting-states were analyzed with 3 different classifiers (SVM, k-NN, and naive ... -
Subject Identification using EEG Signals and Supervised Learning
(Master thesis, 2020)Denne masteroppgaven undersøker bruken av elektriske hjernesignaler fanget i elektroencefalografi (EEG) som parameter for et biometrisk system. De fangede hjernesignalene brukes til å lage et person-identifikasjonssystem ... -
Suboptimal Kalman Filters for Target Tracking with Navigation Uncertainty in One Dimension
(Chapter, 2017)The vast majority of literature on target tracking assumes that the position and orientation of the tracking sensor is stationary and/or known. However, for many applications the sensor is mounted on a moving vehicle, whose ... -
Subsea Communication - Implementing and Evaluating Protocols
(Master thesis, 2016)This thesis compares the performance, features, and practical implementation experience for subsea relevant protocols. Modbus TCP and Ethernet/IP are examples on mature communication protocols that can be used to exchange ... -
Subsea Inspection and Intervention with Underwater Swimming Manipulators
(Master thesis, 2018)This thesis examines dynamic motion control approaches and interaction control approaches for underwater swimming manipulators (USMs). USMs are innovative underwater vehicles with potential to increase efficiency and reduce ... -
Subspace Identification using Closed-Loop Data
(Master thesis, 2009)The purpose of this thesis was to investigate how different subspace identification methods cope with closed loop data, and how the controller parameters affect the quality of the acquired models. Three different subspace ... -
Subspace Predictive Control for Smart Home Optimization
(Master thesis, 2023)I løpet av det siste året har strømprisene skutt i været og blitt en mye større økonomisk byrde for mange enn den har vært tidligere. På grunn av dette, begynte den norske regjeringen i slutten av 2021 å subsidiere borgerne ... -
Subsynchronous Oscillation Mechanism and Its Suppression in MMC-Based HVDC Connected Wind Farms
(Journal article, 2017)A subsynchronous oscillation (SSO) phenomenon in a wind farm integrated with a modular multilevel converter (MMC)-based high-voltage direct current (HVDC) transmission system has been recently observed in the real world. ... -
Supervised Classification Of Unlabeled Acoustic Data Utilizing Cross-Referencing With Labeled Images
(Master thesis, 2020)Med det økende fokuset på menneskeskapte endringer, settes mer og mer trykk på gjennvinbar og ansvarlig innhøsting av ressurser. I et forsøk på å bevare marint liv har den norske regjeringen bestemt at det må lages økologiske ... -
Supervised learning for classification of EEG signals evoked by visual exposure to RGB colors
(Master thesis, 2019)Denne masteroppgaven har undersøkt muligheten for å klassifisere EEG-signaler fremstilt av visuell eksponering for rød, grønn og blå (RGB) farge, noe som anatas å gi kort responstid og redusert læringstid for hjerne-data ... -
Suppressing Pressure Oscillations in Offshore Drilling: Control Design and Experimental Results
(Journal article, 2015)As oil exploration and development costs rise, the oil industry increases its efforts to improve oil recovery (IOR) from existing fields. IOR is achieved mainly by drilling more wells, but drilling in partially depleted ... -
Surface Assisted Autopilot for Remotely Operated Vehicle
(Master thesis, 2018)The following thesis was done in collaboration with Water Linked AS and the Norwegian University of Science and Technology. The task at hand was to demon- strate wireless control of an ROV done with Water Linked s Underwater ... -
Surface Mapping using Quadcopter
(Master thesis, 2014)This thesis studies the use of unmanned aerial vehicles to perform ice managementin the Arctic Ocean by gathering information about and physically control the iceenvironment. Such a system is needed for safety reasons as ... -
Survey on Communication and Networks for Autonomous Marine Systems
(Journal article; Peer reviewed, 2018)The rapid development of autonomous systems and Information and Communications Technologies (ICT) create new opportunities for maritime activities. Existing autonomous systems are becoming more powerful and utilise the ... -
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation
(Peer reviewed; Journal article, 2022)Machine Learning (ML) has demonstrated its immense contribution to reservoir engineering, particularly reservoir simulation. The coupling of ML and metaheuristic algorithms illustrates huge potential for application in ...