Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 1929-1948 av 3690
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Low-cost instrumentation system for recovery of fixed-wing UAV in a net
(Master thesis, 2014)This thesis considers the feasibility of using an inexpensive Real-Time Kinematic Global Positioning System (RTK-GPS) unit to provide position data to support a high precision landing of an Unmanned Aerial Vehicle (UAV) ... -
Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition
(Journal article; Peer reviewed, 2020)Several approaches can be used to estimate neural activity. The main differences between them concern the a priori information used and its sensitivity to high noise levels. Empirical mode decomposition (EMD) has been ... -
Low-Density EEG for Source Activity Reconstruction using Partial Brain Models
(Chapter, 2020)Brain mapping studies have shown that the source reconstruction performs with high accuracy by using high-density EEG montages, however, several EEG devices in the market provide low-density configurations andthus source ... -
Low-density EEG Source Reconstruction: Towards an Automated Framework for Minimizing Electrode Count While Retaining High Accuracy
(Doctoral theses at NTNU;2022:196, Doctoral thesis, 2022)In this thesis, multiple approaches for electroencephalographic (EEG) source reconstruction using low-density electrode counts are introduced. Source reconstruction provides valuable information about the location and ... -
Low-order continuous-time robust repetitive control: Application in nanopositioning
(Journal article; Peer reviewed, 2015)A low-order repetitive control (RC) design in continuous-time for nanopositioning applications is presented. It focuses on achieving high performance and sufficient robustness to uncertainties. The design is mainly ... -
Low-Order Modelling of Turbines and Propellers
(Master thesis, 2019)Vindturbiner og propellers dynamikk er først og fremst avhengig av den relative strømningen gjennom rotoren. I litteraturen er det vist til flere metoder for å estimere de dynamiske kreftene som er på og rundt rotoren. ... -
Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2021)Objective: The design of an Artificial Pancreas to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model-based ... -
A Low-power and Low-noise Multi-purpose Chopper Amplifier with High CMRR and PSRR
(Chapter, 2020)In this article, by choosing and optimizing suitable structure in each stage, we have designed a multi-purpose low noise chopper amplifier. The proposed neural chopper amplifier with high CMRR and PSRR is suitable for EEG, ... -
A Low-power High-gain Inverter Stacking Amplifier with Rail-to-Rail Output
(Chapter, 2021)In this article, a rail-to-rail low-power amplifier is presented based on stacking inverter-based amplifiers. The output voltages of each inverter-based amplifier are converted to a current and then mirrored to the output ... -
LPV model reference control for fixed-wing UAVs
(Journal article; Peer reviewed, 2017)This paper proposes a linear parameter varying (LPV) model reference-based control for fixed-wing unmanned aerial vehicles (UAVs), which achieves agile and high performance tracking objectives in extended flight envelopes, ... -
LPWAN connectivity and embedded solutions for smart ocean monitoring buoys
(Master thesis, 2021)Denne oppgaven fortsetter arbeidet med Internet of Fish (IoF) prosjektet ved NTNU, med mål om å realisere overvåkning og posisjonering av fisk i nær sanntid. Dette gir verdifull innsikt i fiskeatferd og bevegelsesmønstre. ... -
LTap; A Portable Protocol for Measuring Sensorimotor Synchronization
(Master thesis, 2013)The aim of the study has been to design, develop and validate a reliable, portable, and user friendly protocol to measure sensorimotor synchronization (SMS). SMS is used to indicate learning disabilities and diseases like ... -
Lyapunov estimation for high-speed demodulation in multifrequency atomic force microscopy
(Journal article; Peer reviewed, 2018)An important issue in the emerging field of multifrequency atomic force microscopy (MF-AFM) is the accurate and fast demodulation of the cantilever-tip deflection signal. As this signal consists of multiple frequency ... -
Lyapunov Estimator for High-Speed Demodulation in Dynamic Mode Atomic Force Microscopy
(Journal article; Peer reviewed, 2017)In dynamic mode atomic force microscopy (AFM), the imaging bandwidth is governed by the slowest component in the open-loop chain consisting of the vertical actuator, cantilever, and demodulator. While the common demodulation ... -
Lyapunov-based Proportional-Integral Controller Design with Guaranteed Region of Convergence for dc-dc Power Converters
(Chapter, 2017)In this paper, Lyapunov stability of dc-dc power converters controlled with proportional-integral (PI) controllers is investigated. The class of dc-dc converters with discrete-time bilinear averaged dynamic model is ... -
Lære barn siffer ved hjelp av tilpasset teknologi
(Master thesis, 2009)Det er i dag et sterkt fokus på at man trenger å styrke realfagskompetansen i skolen og kunnskapsdepartementet har i 2008 for første gang omtalt matematikk i rammeplanen for førskolen. Det er derfor høyaktuelt å komme med ... -
A Machine Learning Approach for Determining Reference Wells in the Norwegian Continental Shelf
(Master thesis, 2018)An unsupervised learning solution for selecting relevant reference wells for a new well that is to be drilled in the Norwegian Continental Shelf (NCS), shall be made with readily available software tools such as Python and ... -
Machine Learning Based Digital Twins for Temperature and Power Dynamics of a Household
(Master thesis, 2023)Utfordringer med kraftproduksjonen i Europa og den stadig økende elektrifiseringen av samfunnet har resultert i økte kostnader ved strømforbruk de siste par årene. Dette har stor innvirkning på økonomien til husholdninger ... -
Machine Learning for Automatic Classification of Wind Turbines
(Master thesis, 2019)Ettersom vindparker vokser eksponentielt, er det nødvendig med økende grad av automatisk klassifisering av vindturbiner. Klyngeteknikker for å behandle datastrømmer i sanntid for alle de enkelte vindturbinene i drift er ... -
Machine Learning for bottom-detection in Doppler Velocity Logs
(Master thesis, 2021)Den voksende utviklingen og utvidede bruken av autonome undervannsfarkoster (Autonomous Underwater Vehicle, AUV) har bidratt til en økende etterspørsel av nøyaktig, robust og langsiktig undervanns navigasjon. Moderne ...