• Drone landing spot detection in simulated Environments using semantic segmentation 

      Eirik Fagerhaug (Master thesis, 2019)
      Med raske forbedringer i teknologi for droner, har vi sett store økninger i bruksområder, og som et resultat av dette, observert flere ulykker relatert til feilende systemer. Vi har derfor sett et økende behov for forskning ...
    • Ploge: bestillingssystem for snøbrøyting 

      Pedersen, Caroline; Furland, Siv; Relling, Christian (Bachelor thesis, 2019)
      Denne oppgaven er utviklet etter ønske fra oppdragsgiveren Avento. I Norge i dag er det registrert i overkant av 400 000 hytter og fritidsboliger og tallet stiger for hvert år. Mange av disse er tilknyttet veilag med behov ...
    • A co-verification interface design for high-assurance CPS 

      Zhang, Yu; Huang, Mengxing; Wang, Hao; Feng, Wenlong; Cheng, Jieren; Zhou, Hui (Journal article; Peer reviewed, 2019)
      Cyber-Physical Systems (CPS) tightly integrate cyber and physical components and transcend traditional control systems and embedded system. Such systems are often mission-critical; therefore, they must be high-assurance. ...
    • Augmentert realitet for Offshore Kran Operasjoner 

      Gielesen, Demy Patrick (Master thesis, 2019)
      I min oppåve, utforsker eg potensialet for bruk av Augmentert Realitet i offshore-kran situasjoner. Som forslag frå Offshore Simulator Center (OSC), var ideen å bruke eit Microsoft HoloLens headset for prototyping og kran ...
    • FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units 

      Hatledal, Lars Ivar; Zhang, Houxiang; Styve, Arne; Hovland, Geir (Chapter, 2019)
      The main goal of the Functional Mock-up Interface (FMI) standard is to allow simulation models to be shared across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ...
    • An agent-based approach for predicting patterns of pathogen transmission between aquaculture sites in the Norwegian fjords 

      Alaliyat, Saleh Abdel-Afou; Yndestad, Harald; Davidsen, Pål (Journal article; Peer reviewed, 2019)
      The aquaculture industry is a main industry in Norway, and it must be sustainable, i.e. experience long-term growth and development: It is necessary to build an environmentally sustainable aquaculture industry that minimizes ...
    • Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception 

      Wu, Di; Wang, Hao; Mohammed, Hadi; Seidu, Razak (Journal article; Peer reviewed, 2019)
      Constructing Sustainable Smart Water Supply systems are facing serious challenges all around the world with fast expansion of modern cities. Water quality is influencing our life ubiquitously. Traditional urban water quality ...
    • Visual Analytics: A Comprehensive Overview 

      Cui, Wenqiang (Journal article; Peer reviewed, 2019)
      With the ever-increasing amount of data, the world has stepped into the era of ‘‘Big Data’’. Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks ...
    • Robust H-Infinity Decentralized Control for Industrial Cooperative Robots. 

      Azar, Ahmad Taher; Serrano, Fernando E.; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad; Vaidyanathan, Sundarapandian (Chapter, 2019)
      In this paper, a robust H-infinity controller is proposed for industrial cooperative robots in which disturbances are taken into account for an appropriate controller design. Considering the disturbance affects the system ...
    • Soil Erosion Rate Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Geographic Information System (GIS) of Wadi Sahel-Soummam Watershed (Algeria) 

      Djeddou, Messaoud; Hameed, Ibrahim A.; Mokhtari, Elhadj (Peer reviewed; Journal article, 2019)
      Accurate prediction of soil erosion rate is a quite important issue for a wise and sustainable use of soil resources. In this study, an adaptive neuro-fuzzy inference system (ANFIS) approach is used to construct a prediction ...
    • Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning 

      Ali Humayun, Mohammad; Hameed, Ibrahim A.; Muslim Shah, Syed; Hassan Khan, Sohaib; Zafar, Irfan; Bin Ahmed, Saad; Shuja, Junaid (Journal article; Peer reviewed, 2019)
      Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, ...
    • MISC - en interaktiv prisliste for skipsbelysning 

      Telseth, Olav; Kalsnes Synnes, Simon; Weltan, Einar; Hagen, Kristin (Bachelor thesis, 2019)
      Dette dokumentet beskriver gjennomføringen og resultatet av en bacheloroppgave, utgitt av NTNU Ålesund. Selve problemstillingen er utgitt av Multilux AS. Multilux er en betydelig leverandør av belysning for samferdsel, ...
    • 3D-tilpasset støtteskinne ved håndleddsbrudd 

      Dale, Astrid Nerhus; Hoseth, Torjus Aarsæther (Bachelor thesis, 2019)
      Denne rapporten omhandler bacheloroppgaven: “3D-tilpasset støtteskinne ved håndleddsbrudd”. Oppgaven tar for seg dagens behandlingsmetode, problematikken rundt denne og hvordan den kan forbedres. Hensikten er å bevise at ...
    • Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience 

      Bin Ahmed, Saad; Hameed, Ibrahim A.; Naz, Saeeda; Imran Razzak, Muhammad; Yusof, Rubiyah (Journal article; Peer reviewed, 2019)
      The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ...
    • Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agriculture in Oil Palm Plantations 

      Shamshiri, Redmond Ramin; Hameed, Ibrahim A.; Balasundram, Siva K.; Ahmad, Desa; Weltzien, Cornelia; Yamin, Muhammad (Chapter, 2019)
      Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected ...
    • Automatic Visual Features for Writer Identification: A Deep Learning Approach 

      Rehman, Arshia; Naz, Saeeda; Razzak, Muhammad Imran; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2019)
      Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ...
    • Generalized Lyapunov Demodulator for Amplitude and Phase Estimation by the Internal Model Principle 

      Ragazzon, Michael Remo Palmén; Messineo, Saverio; Gravdahl, Jan Tommy; Harcombe, David M.; Ruppert, Michael G. (Journal article; Peer reviewed, 2019)
      Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ...
    • Prosjektering av lavspenningsnett i hyttefelt Orrelia 

      Tynes, Thomas Martin (Bachelor thesis, 2019)
      Det skal prosjekteres et lavspenningsnett med transformatorstasjon til nytt hyttefelt i Orrelia på Orreneset i Sykkylven kommune. Effektbehovet til de 32 hytteboligene må beregnes i forhold til dagens forbruk, og for riktig ...
    • On the development of laboratory projects in modern engineering education 

      Bye, Robin Trulssen; Osen, Ottar (Journal article; Peer reviewed, 2019)
      Whilst a solid theoretical foundation is important in any undergraduate engineering program, practical exercises and educational laboratories play an equally vital role in educating knowledgeable and skillful engineers ...
    • Relative Motion Tracking of Vessels using Multi-Camera Handover and Aruco Markers 

      Drugli, Even; Fjørtoft, Vegard; Hagseth, Kai Julian; Sande, Ole Kristian (Bachelor thesis, 2019)
      Tauetanken hos NTNU, avdeling Ålesund, brukes i hovedsak av studenter i skipsdesign for å teste skrogmodeller, ROVer og andre vannfartøy. Ved undersøkelser av skipsdesign, brukes småskala testing med modeller for å ...