Now showing items 322-341 of 555

    • Mobilapplikasjon for å avdekke alvorlighetsgrad knyttet til brannskade 

      Hjørungdal, Mikal Olai (Bachelor thesis, 2020)
      Formålet med denne oppgaven er å lage en mobilapplikasjon som gir en nøyaktig kalkulasjon av kroppsoverflate og brannskade. Applikasjonen gjør det også mulig for at du kan utføre denne prosessen i en nødsituasjon før eller ...
    • Mobile application for snow ploughing 

      Bjørnland, Henrik Ranvik; Nakstad, Marius Blokkum; Urtegård, Theodor Giskegjerde (Bachelor thesis, 2020)
      Denne rapporten inneholder resultatene, refleksjonen og konklusjonen for bacheloroppgaven utført av Henrik Ranvik Bjørnland, Marius Blokkum Nakstad and Theodor Giskegjerde Urtegård ved NTNU i Ålesund, samt teoretisk grunnlag, ...
    • Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction 

      Wolff, Miriam Kopperstad; Schaathun, Hans Georg; Fougner, Anders Lyngvi; Steinert, Martin; Volden, Rune (Journal article; Peer reviewed, 2024)
      In the field of blood glucose prediction, the literature is abounded with algorithms that demonstrate potential in glucose management. However, these propositions face an issue common to many machine learning algorithms: ...
    • MobText: A Compact Method for Scene Text Localization 

      Decker, Luis; Pinto, Allan; Campana, Jose; Neira, Manuel; Santos, Andreza; Conceição, Jhonatas; Angeloni, Marcus; Li, Lin; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Abstract: Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of those solutions are very costly, which hamper their use in several applications ...
    • Model-Based Fault Diagnosis Algorithms for Robotic Systems 

      Hasan, Agus Ismail; Tahavori, Maryamsadat; Midtiby, Henrik (Journal article; Peer reviewed, 2023)
    • Modeling, Simulation and Implementation of Energy Management System for Hybrid Offshore Vessels 

      Selen, Vidar (Master thesis, 2018)
      In this paper the main focus has been to investigate different approaches of utilizing a hybrid offshore vessel (HOV) and evaluate the sustainability of a complete hybridization. A hybridization refers to the process, of ...
    • Modell asynkronmotor 

      Boonkrong, Singharat; Lervik, Håvard; Nordvik, Ola Edvard; Vadset, Tomas Skaar (Bachelor thesis, 2019)
      Formålet med denne oppgaven var å utvikle en modell for en asynkronmotor. Denne modellen skal gjøre det mulig for STADT AS å gjøre simuleringer for motorer, slik at de blant annet kan se hvor store startstrømmene vil bli ...
    • Modellering og drift av energilagringssystem for offshorefartøy 

      Vatneødegård, Even; Helvig, Tom André; Winje, Åsmund (Bachelor thesis, 2021)
      Hensikten med denne bachelorrapporten er å undersøke ulike tilnærminger for bruk av energilagringssystemombord i offshorefartøy, med et fokus på økonomiske og miljømessige gevinster. Et energilagringssystem er en alternativ ...
    • Montering i småskalaproduksjon 

      Skinnes, Benjamin Selvåg; Strømsheim, Øyvind Valderhaug; Sunde, Steffen (Bachelor thesis, 2015)
      This report was written by three students at Aalesund University College as a part of their bachelor thesis in Automation engineering. The thesis was given by Rolls-Royce Marine Propulsion, by Arild Djupvik. Supervisors ...
    • Multi-Agent Robot System to Monitor and Enforce Physical Distancing Constraints in Large Areas to Combat COVID-19 and Future Pandemics 

      Shah, Syed Hammad Hussain; Steinnes, Ole-Martin Hagen; Gustafsson, Eirik Gribbestad; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)
      Random outbreaks of infectious diseases in the past have left a persistent impact on societies. Currently, COVID-19 is spreading worldwide and consequently risking human lives. In this regard, maintaining physical distance ...
    • Multi-Agent System Based Mobile Help Desk and Monitoring of Safety Measures to Combat COVID-19 and Future Pandemics 

      Shah, Syed Hammad Hussain; Steinnes, Ole-Martin Hagen; Gustafsson, Eirik Gribbestad; Hameed, Ibrahim A. (Chapter, 2021)
      The outbreak of COVID-19 pandemic presents an unprecedented challenge for humanity. The historical data about the past pandemics indicates towards a high possibility of future pandemics. Moreover, current pandemic is ...
    • Multi-Agents in a Virtual Regional Landscape 

      Yndestad, Harald; Bye, Robin Trulssen; Van Albada, Siebe Bruno (Chapter, 2012)
      The Virtual Region More was a research project to investigate how to utilize visualization and simulation methods as planning tools for research and teaching in the More region on the west coast of Norway. The project was ...
    • Multi-label Medical Image Segmentation using Convolutional Neural Networks 

      Lu, Li (Master thesis, 2020)
      Deep learning algorithms, in particular convolutional neural networks, are becoming a promising research tool in medical image segmentation. This thesis attempted to use annotated knee MRI images provided by Sunnmøre ...
    • Multi-sensor Data Collection and Analysis for Human Fatigue Monitoring. 

      Sant' Ana, Mateus (Master thesis, 2018)
      The human fatigue is a complex and has no universal standard to quantify or to record it. Several studies have attempted to measure with the use of machine learning techniques like Bayes Network or Deep Neural Networks. ...
    • Multifunctional Humanoid Robot 

      Hatlemark, Håvard André Melseth; Jakobsen, Ivar Sander; Rostad, John Olav Damdam (Bachelor thesis, 2016)
      This thesis explores how to turn a robot into a multipurpose social robot. The robot will be used to education, exhibition displays and everyday socialization. To establish proof of concept for each of the methods, they ...
    • A multiple-output hybrid ship trajectory predictor with consideration for future command assumption 

      Kanazawa, Motoyasu; Skulstad, Robert; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)
      Onboard sensors contribute to data-driven understanding of complex and nonlinear ship dynamics in real time. By using sensors, precise ship trajectory prediction plays a key role in intelligent collision avoidance. A hybrid ...
    • A Multirepresentational Fusion of Time Series for Pixelwise Classification 

      Dias, Danielle; Pinto, Allan; Dias, Ulisses; Lamparelli, Rubens; Le Maire, Guerric; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      This article addresses the pixelwise classification problem based on temporal profiles, which are encoded in 2-D representations based on recurrence plots, Gramian angular/ difference fields, and Markov transition field. ...
    • Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch 

      Bueno, Murilo José de Oliveira; Silva, Maisa; Cunha, Sergio Augusto; Torres, Ricardo Da Silva; Moura, Felipe Arruda (Journal article; Peer reviewed, 2021)
      The aim of this study was to evaluate different shape descriptors applied to images of polygons that represent the organization of football teams on the pitch. The effectiveness of different shape descriptors (area/perimeter, ...
    • Municipal Platforms: An investigative case study from a Norwegian municipality 

      M. Ibrahim, Ahmed (Peer reviewed; Journal article, 2021)
      This research aims to investigate a Norwegian municipality, as a case study upon its use of digital platforms. Norwegian municipalities set citizens at the center of its operational areas, by the conduct of a transparent ...