Browsing Master's theses (RealTek) by Title

Dagslys i skolebygg ved bruk av screens som solskjerming : en case studie

Andersen, Fredrik Margido (Master thesis, 2018)

TEK10 stiller krav til dagslys i alle rom for varig opphold. TEK10 stiller også krav til solskjerming for solutsatte vinduer. Det stilles derimot ingen krav til dagslys når solskjermingen dekker for vinduene. Dagslys ...

Dagslys i skoler : et case-studie: Veiavangen ungdomsskole

Pedersen, Tomas Lund (Master thesis, 2014-09-23)

Bakgrunn: Det blir prosjektert flere og flere typisk ”kompaktskoler” (med mindre fasade til dagslys), og mindre av de tidligere ”tradisjonelle” skolene (med mer fasade tilgjengelig for dagslys). Dagslys er en undervurdert ...

Dagslys og energiforhold i kompakte skoler - En case studie

Gjerde, Magnus Gåseby (Master thesis, 2014-08-01)

IMT-rapport nr. 46 fra 2012 fant fellestrekk mellom mange av vinnerprosjektene i arkitektkonkurranser for skoler rundt om i landet. Mange prosjekter var preget av såkalte vridde klasserom med en av kortveggene som ...

Daily temperature and precipitation variability in Scandinavia in a large ensemble simulation

Waage, Nina Marianne Nyeng (Master thesis, 2019)

According to the last assessment report from the Intergovernmental Panel on Climate Change, due to human-induced climate changes, alterations in future temperature and precipitation are expected, and we will have a higher ...

Data fra ulike innsamlingsplattformer i bratte fjellområder og deres egnethet til deteksjon av ras

Marifjæren, Emilie Lampe; Sahan, Mohammed (Master thesis, 2022)

I Norge er det varierende terreng med tidvis bratte fjellpartier. For å kunne dokumentere mulige skred- eller rashendelser er det behov for god, innsamlet informasjon om områdene. I vårt tilfelle ser vi nærmere på Trollstigen, ...

Data-driven approach to reduce electricity cost in chocolate production

Vold, Ester Alida (Master thesis, 2020)

In order to ensure sustainable food manufacturing, it is vital to improve the energy efficiency of production plants continuously. Identifying and conducting energy-saving measures and projects are essential in this process, ...

Data-driven optimization of an industrial cheese production process

Uthayaseelan, Melvin (Master thesis, 2024)

As the world rapidly advances with groundbreaking technology, the food sector is no exception. Artificial intelligence is increasingly utilized in the food industry to enhance production and quality. However, ensuring ...

Dataanalyse av irradiansmålinger: Overirradianseepisoder ved Finse og Kjeller

Bakkejord, Simon (Master thesis, 2024)

Denne oppgaven identifiserer og analyserer overirradiansepisoder, som oppstår når målt irradians fra solen er høyere enn forventede verdier under skyfrie forhold, som kalles "clear sky conditions". Slike episoder skyldes ...

Deep Learning based Models for Traffic Participant and Object Classification

Sivathas, Sathuriyan (Master thesis, 2024)

Abstract Research on deep learning models is constantly advancing, and has emerged as an important field to study. Deep learning models have a vital role in the development of self-driving cars, making it essential to ...

Deep learning for automatic delineation of tumours from PET/CT images

Moe, Yngve Mardal (Master thesis, 2019)

Purpose: The delineation of tumours and malignant lymph nodes in medical images is an essential part of radiotherapy. However, it is both time-consuming and prone to inter-observer variability. Automating this process is ...

Deep learning for automatic tumor delineation of anal cancer based on MRI, PET and CT images

Kaushal, Christine Kiran (Master thesis, 2019)

Presis inntegning av tumorer ansees som det svakeste leddet og den største kilden til usikkerhet ved planlegging av strålebehandling. Formålet med denne avhandlingen er å utforske mulighetene for automatisk inntegning av ...

Deep learning for Direct DNA Domain Detection

Steinset, August Noer (Master thesis, 2024)

As more and more genomes are sequences it becomes ever more needed to have access to fast methods of analyzing them. One such analysis is finding regions of the genome that contain descriptions of proteins we are familiar ...

Deep neural networks for object detection in agricultural robotics

Solberg, Eirik Gärtner (Master thesis, 2017)

Robotization of tasks in the agricultural domain has the potential to transform food production through continuous surveillance of crops which can facilitate precise admin- istration of nutrients, fertilizers and treatments ...

Deep reinforcement learning for vehicle-to-grid control of long-term parked EVs : a case study of Oslo airport Gardermoen

Ørn, Filip Kristoff (Master thesis, 2022)

There is a growing demand for electricity that leads to costly expansions of the grid capacity having to be made. Additionally this increase in demand also leads to the introduction of unregulated energy resources that ...