Blar i Institutt for IKT og realfag på tittel

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    • A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review 

      Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)
      According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ...

    • Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review 

      Devnath, Liton; Summons, Peter; Luo, Suhuai; Wang, Dadong; Shaukat, Kamran; Hameed, Ibrahim A.; Aljuaid, Hanan (Peer reviewed; Journal article, 2022)
      Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The ...

    • Computer-Aided Diagnostics: Segmentation of Knee Joint Anatomy Using Deep Learning Techniques 

      Homlong Eirik Gromholt (Master thesis, 2019)
      Segmentering er prosessen i å dele bilder inn i flere meningsfulle deler og regioner medlignende egenskaper. Bildesegmentering er sterkt utnyttet i medisinsk bildebehandling,og gjør det mulig for leger å få ekstra diagnostisk ...

    • Computer-aided quality control of whitefish fillets 

      Kvam, Kristian Lindvik; Eidem, Vegard Alexander Dybvikstrand (Bachelor thesis, 2018)
      Computer-aided quality control of whitefish fillets is a bachelor assignment made for automation students at NTNU in Aalesund. The assignment was given by the company Optimar, a company with vast experience in creating ...

    • A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality 

      Nasar, Wajeeha; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2020)
      The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ...

    • Connectivity of underwater cognitive acoustic networks under spectrum constraint 

      Wang, Qiu; Dai, Hong-Ning; Wang, Hao; Wang, Qubeijian (Chapter, 2018)
      There is an extensive attention on underwater cognitive acoustic networks (UCANs) since acoustic spectrum becomes deficient owning to the proliferation of human activity in ocean. This paper presents an overview of our ...

    • Contextual movement models based on normalizing flows 

      Fadel, Samuel G.; Mair, Sebastian; Torres, Ricardo Da Silva; Brefeld, Ulf (Journal article; Peer reviewed, 2021)
      Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in sports analytics. Existing movement models are either designed from ...

    • Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players 

      Gobatto, Claudio; Torres, Ricardo Da Silva; Moura, Felipe; Cunha, Sergio; Giacometti, Caio; Araujo, Gustavo; Sousa, Filipe; Manchado-Gobatto, Fúlvia (Peer reviewed; Journal article, 2020)
      Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ...

    • CosmoAI: A study of gravitational lensing through simulation and machine learning 

      Ingebrigtsen, Simon; Remøy, Sondre Westbø; Runde, Simon Nedreberg; Austnes, Einar Leite (Bachelor thesis, 2022)
      Gravitasjonslinsing brukes som et verktøy for å lokalisere og kartlegge mørk materie i universet. Gjennom Roulette-formalismen håper man at informasjon i linsen kan tolkes ved hjelp av ett felles matematisk rammeverk. ...

    • Coverage Path Planning for Seabed Mapping using Autonomous Surface Vehicles 

      Karl Eirik Aasen (Master thesis, 2019)
      The topic in this thesis is about path-planning for seabed mapping utilizing an autonomous surface vehicle with a sonar. In order for the path to be considered efficient, the depth and the characteristics of the sonar needs ...

    • Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network 

      Li, Guofa; Ouyang, Delin; Yang, Liu; Li, Qingkun; Tian, Kai; Wu, Baiheng; Guo, Gang (Journal article; Peer reviewed, 2023)
      Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain ...

    • CT-Wood Arkivsystem 

      Bakken, Aleksander; Tranvik, Brage Aspli; Vaaland, Trym (Bachelor thesis, 2021)
      Ved Luleå tekniska universitet (LTU) så utføres materialstudier på tre. Til disse studiene anvendes en tomograf (CT-skanner) og et klimakammer. For hvert prosjekt hvor tomografen blir benyttet blir det generert en stor ...

    • Damage detection in fish farming nets using video analysis. 

      Bjørlo-Larsen, Vebjørn; Skeide, Endre Slettemark (Bachelor thesis, 2019)
      I dagens oppdrettsnæring er det et stort fokus på å ta i bruk ny teknologi for å automatisere industrien. Et av selskapene som bidrar til dette er Stranda Prolog AS, som er oppdragsgiveren for denne bacheloroppgaven. Stranda ...

    • Dashboard for flåtestyring 

      Harmankaya, Yusuf.; Hammerseth, Kjetil (Bachelor thesis, 2021)
      Bøstrand Transport i Ørsta driver med langtransport av varer og gods. De har og også kranbiler og driver med container- og spesialtransport. Transportoppdragene er derfor varierte, men for det meste går det i ordinær ...

    • Data acquisition system for fault detection of guard rails 

      Theisen,Ole Thomas Norbye; Trømborg,Torbjørn (Bachelor thesis, 2021)
      Rekkverkinspeksjon er i dag en tidkrevende oppgave. Inspeksjonen blir utført ved visuell undersøkelse av rekkverket, og personen som undersøker må være opplært for å kunne identifisere feil på rekkverket.Vår oppdragsgiver ...

    • Data Aggregation, Processing and Visualisation 

      Fagralon, Rune; Sørdal, Tor-Arne; Eidsheim, Henning (Bachelor thesis, 2019)
      Denne bachelor-oppgaven er skrevet av tre studenter som går automasjonsingeniør-studiet ved NTNU i Ålesund. Prosjektet ble gjennomført i vår-semesteret 2019. Oppgaven ble gitt av Seaonics, som er et selskap som leverer ...

    • Data Analysis and Prediction of Turbine Failures Based on Machine Learning and Deep Learning Techniques 

      Qaiser, Muhammad Talal (Master thesis, 2023)
      Turbines, the backbone of numerous industries for power generation, assume a critical role in ensuring seamless operations and a continuous power supply to the system. Their uninterrupted working conditions and performance ...

    • Data and knowledge manangement in field studies A case for semantic technologies 

      Schaathun, Hans Georg; Tran, Que; Tollefsen, Mikael; Gernez, Etienne (Journal article; Peer reviewed, 2017)
      Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ...

    • Data Device Control 

      Rogne, Kristoffer; Nygård, Erik Haram; Todal, Thomas Skarshaug (Bachelor thesis, 2018)
      Digitalisering av hverdagen er i full sving, og mange av produktene du kan få kjøpt i dag kan kobles til internettet på en eller annen måte. Utfordringen er å få en lett tilgjengelig sentral der du kan styre det som er ...

    • Data Kollektivet 

      Valde, Frank Even; Lie, Kristoffer (Bachelor thesis, 2018)
      I Norge bor det i gjennomsnitt 2 personer per hushold. Det gjør at veldig mange må forholde seg til andre mennesker når det kommer til oppgaver og gjøremål i hjemmet. For å hjelpe med denne problemstillingen ville vi ...