Browsing NTNU Open by Author "Molinas, Marta"
Now showing items 1-20 of 87
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A semiautomatic spindle detection platform with minimal expert intervention based on interaction between two software
Masdal, Susann (Master thesis, 2022)Denne studien tar sikte på å finne en mer praktisk måte å utnytte to forskjellige offentlige programvaredetektorer som en plattform for å minimere arbeidsbelastningen utført av søvneksperter for å annotere søvnspindler ... -
A Solution for Low Voltage Ride Through of Induction Generators in Wind Farms using Magnetic Energy Recovery Switch
Fønstelien, Olav Jakob (Master thesis, 2009)Induction generators constitute 30 percent of today’s installed wind power. They are very sensitive to grid voltage disturbances and need retrofitting to enhance their low voltage ride through (LVRT) capability. LVRT of ... -
Active Harmonics Filtering of Distributed AC System
Shahbaz, Muhammad (Master thesis, 2012)The tendency of connecting the Power Electronic loads and distributed power plants through Power Electronic converters is increasing day by day. These Power Electronic converters and loads are the sources of harmonics and ... -
An Asynchronous Motor Imagery based Brain-Computer Interface for Two-dimensional Drone Control
Brynestad, Kjersti; Vatsvåg, Erlend (Master thesis, 2021)Dette arbeidet undersøker ulike state-of-the-art pre-prosesseringsmetoder, metoder for å ekstrahere egenskaper og klassifiseringsalgoritmer til bruk på Elektroencefalografi (EEG) data av forestilte bevegelser (MI). Datasettet ... -
An Asynchronous Motor Imagery-based Brain-Computer Interface for Two-dimensional Drone Control
Brynestad, Kjersti; Vatsvåg, Erlend (Master thesis, 2021)Dette arbeidet undersøker ulike state-of-the-art pre-prosesseringsmetoder, metoder for å ekstrahere egenskaper og klassifiseringsalgoritmer til bruk på Elektroencefalografi (EEG) data av forestilte bevegelser (MI). Datasettet ... -
An Exploration of Techniques for Electroencephalography-Based Motor Imagery Classification for Real-Time Drone Control
Jonassen, Pauline Mørch; Lønvik, Helene Tørlen (Master thesis, 2023)Denne masteroppgaven undersøker ulike state-of-the-art teknikker for preprosessering, egenskapsekstraksjon og klassifiserings av Electroencephalography (EEG) Motorisk Innbilning (MI) data. Målet for oppgaven var å utvikle ... -
An Integrated Tool for Microgrid Design in Rural Areas
Duus, Håkon (Master thesis, 2015)PV-microgrids are becoming an affordable alternative to provide electricity access to remote or isolated regions, due to both a reduction in prices on solar panels and a strong focus on utilisation renewable energy resources. ... -
Analysis of a Multi-Infeed HVDC System in the Norwegian Power System
Holthe, Alexander Håkan George (Master thesis, 2014)The impact of a new Modular Multi-Level Converter (MMC) on a Line Commutated Converter (LCC) in the same AC-grid, representing the future system of NordLink and NorNed is investigated. This multi-infeed HVDC system is ... -
Analysis of Large Scale Adoption of Electrical Vehicles and Wind Integration in Nord-Trøndelag
Vatne, Åshild (Master thesis, 2012)With the Agreement on Climate Policy (Klimaforliket) signed by the Norwegian government on January 17th 2008, Norway has set a goal to reduce emission caused by transportation with 2.5 4 million tons CO2 equivalents ... -
Analysis of Large Scale Integration of Electric Vehicles in Nord-Trøndelag
Sagosen, Øystein (Master thesis, 2013)In recent years, the shift in attitude towards climate and CO2 emissions has accelerated the sale of electric and hybrid electric vehicles in Norway. Predictions indicate that Norway may surpass 200,000 chargeable vehicles ... -
Analysis of Large Scale Integration of Electric Vehicles in Nord-Trøndelag
Sagosen, Øystein (Master thesis, 2013)In recent years, the shift in attitude towards climate and CO2 emissions has acceleratedthe sale of electric and hybrid electric vehicles in Norway. Predictionsindicate that Norway may surpass 200,000 chargeable vehicles ... -
Automated Detection and Removal of EEG Artifacts for an RGB Stimulation-Based Brain-Computer Interface
Dokken, Mari Hestetun; Løkken, Sandra Garder (Master thesis, 2023)Denne oppgaven undersøker metoder for å fjerne okulære artefakter (OA) fra registrerte EEG-signaler og evaluerer deres effektivitet og gjennomførbarhet for bruk i et fremtidig hjerne-datamaskin grensesnitt (BCI). Motivasjonen ... -
Automated Detection and Removal of EEG Artifacts for an RGB Stimulation-Based Brain-Computer Interface
Dokken, Mari Hestetun; Løkken, Sandra Garder (Master thesis, 2023)Denne oppgaven undersøker metoder for å fjerne okulære artefakter (OA) fra registrerte EEG-signaler og evaluerer deres effektivitet og gjennomførbarhet for bruk i et fremtidig hjerne-datamaskin grensesnitt (BCI). Motivasjonen ... -
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
Soler, Andres; Moctezuma, Luis Alfredo; Giraldo, Eduardo; Molinas, Marta (Peer reviewed; Journal article, 2022)High-density Electroencephalography (HD-EEG) has proven to be the EEG montage that estimates the neural activity inside the brain with highest accuracy. Multiple studies have reported the effect of electrode number on ... -
Automatic Detection of Mental Stress Responses from Electroencephalogram Signals
Sletten, Christian Moe (Master thesis, 2023)Denne avhandlingen presenterer en detaljert studie av effektiviteten og begrensningene av Elektroencefalografi (EEG)-basert psykisk stressdeteksjon hos mennesker ved bruk av en interpersonlig modell. Tre klassifiseringsalgoritmer, ... -
Automatic Sleep Stage Classification with Optimized Selection of EEG Channels
Stenwig, Håkon; Soler, Andres; Furuki, Junya; Suzuki, Yoko; Abe, Takashi; Molinas, Marta (Chapter, 2022)Visual inspection of Polysomnography (PSG) recordings by sleep experts, based on established guidelines, has been the gold standard in sleep stage classification. This approach is expensive, time-consuming, and mostly ... -
Biometric system using EEG signals from resting-state and one-class classifiers
Haga, Julie (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 ... -
Classification of RGB Color Stimuli in Source Space
Fløtaker, Simen Piene (Master thesis, 2023)Denne oppgaven utforsker muligheten for å bruke elektroencefalografi (EEG) signaler for å avgjøre hvorvidt en person undergår rød, grønn, eller blå (RGB) visuelle stimuli. Dersom en algoritme kan utvikles, som kan klassifisere ... -
Comparison of virtual oscillator control and droop control in an inverter-based stand-alone microgrid
Melby, Mathias (Master thesis, 2019)Denne oppgaven tar for seg regulering og styring av DC/AC-omformere. Mer spesifikt er målet med oppgaven å sammenligne en nyere kontrollmetode, kalt virtuell oscillatorkontroll (VOC), med den bedre kjente droopkontrollen. ... -
Control of Multi-terminal VSC-HVDC Systems
Haileselassie, Temesgen Mulugeta (Master thesis, 2008)The North Sea has a vast amount of wind energy with largest energy per area densities located about 100-300Km of distance from shore. Should this energy be tapped by offshore wind farms, HVDC transmission would be the more ...