Browsing Institutt for IKT og realfag by Title
Now showing items 333-352 of 561
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Modellering og drift av energilagringssystem for offshorefartøy
(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
(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
(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
(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
(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
(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.
(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
(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
(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
(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
(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
(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 ... -
Neural Fractional Order PID Controllers Design for 2-Link Rigid Robot Manipulator
(Peer reviewed; Journal article, 2023)The robotic manipulator is considered one of the complex systems that include multi-input, multi-output, non-linearity, and highly coupled. The uncertainty in the parameters and external disturbances have a negative influence ... -
Neural relational inference for disaster multimedia retrieval
(Peer reviewed; Journal article, 2020)Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ... -
Neural-network-based modelling and analysis for time series prediction of ship motion
(Journal article, 2017)This paper presents a data-driven model for time series prediction of ship motion. Prediction based on past time series of data is a powerful function in modern ship support systems. For a large amount of ship sensor data, ... -
A New Approach to Nonlinear State Observation for Affine Control Dynamical Systems
(Journal article; Peer reviewed, 2023) -
New electric module for Interwell P&A
(Bachelor thesis, 2021)Denne oppgaven har vært startem på et større project for ny thermite antenningsmodule. Har i fokusert på en antenningsprosessen og sammenlignet to antenningshylser. Prosjekte er igangsatt av Interwell P&A som har vært ... -
A new estimation method for COVID-19 time-varying reproduction number using active cases
(Peer reviewed; Journal article, 2022)We propose a new method to estimate the time-varying effective (or instantaneous) reproduction number of the novel coronavirus disease (COVID-19). The method is based on a discrete-time stochastic augmented compartmental ... -
A New Nonlinear Controller for the Maximum Power Point Tracking of Photovoltaic Systems in Micro Grid Applications Based on Modified Anti-Disturbance Compensation
(Peer reviewed; Journal article, 2022)In the photovoltaic system, the performance, efficiency, and generated power of the PV system are affected by changes in the environment, disturbances, and parameter variations, and this leads to a deviation from the ...