Browsing Institutt for IKT og realfag by Title
Now showing items 26-45 of 614
-
A Riemannian geometry theory of human movement: The geodesic synergy hypothesis
(Journal article; Peer reviewed, 2015)Mass-inertia loads on muscles change with posture and with changing mechanical interactions between the body and the environment. The nervous system must anticipate changing mass-inertia loads, especially during fast ... -
a simulation model for power management in hybrid ships
(Bachelor thesis, 2020)Målet for dette prosjektet var å lage en grunnleggende Simulink modell som kan brukes til å simulere kraftproduksjonen i et skip som har både batterier og dieselelektriske generatorer. Jeg begynte med å lage en veldig ... -
A Simulation Study of Evaluation Heuristics for Tug Fleet Optimisation Algorithms
(Chapter, 2015)Tug fleet optimisation algorithms can be designed to solve the problem of dynamically positioning a fleet of tugs in order to mitigate the risk of oil tanker drifting accidents. In this paper, we define the 1D tug fleet ... -
A Software Architecture for Simulation and Visualisation based on the Functional Mock-up Interface and Web Technologies
(Chapter, 2015)This paper presents a software architecture for a collaborative virtual environment (CVE) for simulation and visualisation based on the Functional Mock-up Interface (FMI) for co-simulation and web technologies. FMI has ... -
A Software Framework For Intelligent Computer-Automated Product Design
(Chapter, 2016)For many years, NTNU in Ålesund (formerly Aalesund University College) has maintained a close relationship with the maritime industrial cluster, centred in the surrounding geographical region, thus acting as a hub for both ... -
A sustainable model for optimal dynamic allocation of patrol tugs to oil tankers
(Chapter, 2013)Oil tanker traffic constitutes a vital part of the maritime operations in the High North and is associated with considerable risk to the environment. As a consequence, the Norwegian Coastal Administration (NCA) administers ... -
A Synthetic Data-driven Solution for Urban Drinking Water Source Management
(Master thesis, 2023)Vannkvalitetsovervåking spiller en avgjørende rolle i urbane vannforsyningssystemer for produksjon av trygt drikkevann. Imidlertid er den tradisjonelle tilnærmingen til vannovervåking i Norge basert på periodisk ... -
A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System
(Chapter, 2019)Drinking Water Supply (DWS) is one of the most critical and sensitive systems to maintain city operations globally. In Europe, the contradiction between the fast growth of population and obsolete urban water supply ... -
Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments
(Peer reviewed; Journal article, 2020)Generalized assessments of the accuracy of spectroscopic estimates of ecologically important leaf traits such as leaf mass per area (LMA) and leaf dry matter content (LDMC) are still lacking for most ecosystems, and ... -
Acoustic Condition Control
(Bachelor thesis, 2020)Hensikten med oppgaven er å forske på feltene Acoustic Preventative Maintenance, APM. Generelt løses forebyggende vedlikehold ved høye kostnader og lite fleksibilitet. Disse systemene har ofte behov for flere sensorer som ... -
Active control of an ankle using linear actuators and load cells
(Bachelor thesis, 2021)Denne rapporten gjelder utviklingen av en prototype for å utføre stabilitetstester på en ankel. Formålet med dette prosjektet er å undersøke hvordan man implementerer et slikt system, og å lage simulering og visualisering ... -
Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments
(Chapter, 2022)Modern marine vessels operate increasingly autonomously, enabled by the strong interaction between data acquisition and analysis. The data-driven technology has been widely applied and significantly benefits maritime ... -
Adaptive Internal Model Control Based on Parameter Adaptation
(Peer reviewed; Journal article, 2022)In actual industrial control, many objects have the characteristics of large lag and time-varying parameters, which makes it difficult for traditional PID control to obtain satisfactory control effects. Therefore, engineers ... -
An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)
(Peer reviewed; Journal article, 2023)Modern vehicle communication development is a continuous process in which cutting-edge security systems are required. Security is a main problem in the Vehicular Ad Hoc Network (VANET). Malicious node detection is one of ... -
Advanced Drone-based Inspection System for Accurate Paint Loss Detection and Quantification on Ship Hulls
(Master thesis, 2024)Mikroplast er bittesmå partikler som stammer fra nedbrytning av større plastmaterialer. Nyere studier har påvist tilstedeværelsen av mikroplast i ulike livsformer, fra vannlevende dyr til mennesker. Forskning tyder på at ... -
Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture
(Journal article; Peer reviewed, 2018)Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. ... -
Advancing Building Energy Efficiency with Physics-Informed Neural Networks for Time Series Forecasting
(Master thesis, 2024)Rask urbanisering og befolkningsvekst har drevet bygninger til å forbruke en betydelig del av verdens energi, med forventninger om ytterligere økninger i fremtiden. Regjeringer har svart ved å implementere tiltak som å øke ... -
Adversarial Attacks on Neural Networks & Defense for it
(Master thesis, 2020)Den nylige utviklingen innen maskinlæring muliggjorde fremveksten av kraftige nevrale nettverk i domener som Computer Vision, NLP som er i stand til å oppnå nøyaktighet på menneskelig nivå. Som et resultat av dette ble ... -
AI & Interactive Art
(Bachelor thesis, 2016)Interactive art is an art form that emerges between the installation and the audience. With the advent of computer-based interactivity in the 1990s, interactive art has become increasingly popular, with programmable machines ... -
AI and Robotics in the Fight Against COVID-19 Pandemic
(Chapter, 2022)The outbreak of the novel coronavirus and its disease COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this ...