Browsing Institutt for havromsoperasjoner og byggteknikk by Title
Now showing items 143-162 of 989
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Challenges Towards an Integrated Digital Twin Platform for Maritime Systems: Tackling Shifts in Data Ownership
(Chapter, 2024)Organizing product data from various sources and lifecycle stages into a standardized digital representation is a challenge faced by multiple actors in the maritime industry. Maintaining product data models, especially ... -
Challenges when creating a cohesive digital twin ship: a data modelling perspective
(Peer reviewed; Journal article, 2021)A digital twin is a digital asset that simulates the behaviours of a physical counterpart. Digital twin ship literature identifies that the concept is already being applied to specialised problems, but no clear guide exists ... -
Challenges with sea ice action on structures for Offshore wind
(Peer reviewed; Journal article, 2023)EU urgently needs to increase the development of secure and green energy, and this includes renewables such as Offshore wind energy. An expansion of Offshore wind will include the Baltic where sea ice is one of the major ... -
Chasing the Perfect Rudder Angle – Evaluating the feasibility of a decision support system. A pilot study.
(Bachelor thesis, 2020)Formålet med denne Bacheloroppgaven var å gjøre en pilotstudie for å teste en hypotese basert på at et hjelpeprogram kan bistå i å øke sikkerhet under navigering. For å kunne gjøre dette måtte et hjelpeprogram bygges og ... -
CII og EEXI
(Bachelor thesis, 2022)Bacheloroppgaven skal ta for seg hvordan CII og EEXI vil komme til å påvirke befraktere. Med utgangspunkt i dette har det blitt utarbeidet en problemstilling som blir støttet opp av fire forskjellige hypoteser, som hver ... -
Climate-driven QMRA model for selected water supply systems in Norway accounting for raw water sources and treatment processes
(Peer reviewed; Journal article, 2019)Formulating effective management intervention measures for water supply systems requires investigation of potential long-term impacts. This study applies an integrated multiple regression, random forest regression, and ... -
Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques
(Peer reviewed; Journal article, 2022)This paper proposes an Intelligent Monitoring System (IMS) for Photovoltaic (PV) systems using affordable and cost-efficient hardware and also lightweight software that is capable of being easily implemented in different ... -
A Co-operative Hybrid Model For Ship Motion Prediction
(Peer reviewed; Journal article, 2021)Dynamic models of ships have been widely used for model-based control and short-term prediction in the past. Identifying the parameters of such models has mainly been done through scaled model tests, full scale tests or ... -
Co-simulation as a Fundamental Technology for Twin Ships
(Peer reviewed; Journal article, 2020)The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and ... -
Co-simulation-based Pre-training of a Ship Trajectory Predictor
(Chapter, 2022)A ship trajectory predictor plays a key role in the predictive decision making of intelligent marine transportation. For better prediction performance, the biggest technical challenge is how we incorporate prior knowledge, ... -
A Co-simulation-Based System Using Vico for Marine Operation
(Chapter, 2023)Marine operations are becoming more and more demanding. Efficient modeling and analysis of marine operations under environmental effects, especially in high sea states, will provide a means to improve operational safety. ... -
CO2 stripping ombord i brønnbåtar
(Bachelor thesis, 2019)Hensikta med denne oppgåva er å designe eit nytt konsept for CO2 stripping ombord i brønnbåtar for MMC First Process AS med særs fokus på skalering, god vaskbarheit og effektivitet. For å få eit best mogleg konsept er det ... -
CO2-avgift og kompensasjonsordningen for den norske havgående fiskeflåten
(Bachelor thesis, 2022)Hvilke konsekvenser har det medført for den Norske havgående fiskeflåten ved at det ble innført full CO2-avgift for fiskeri 1. januar 2020? Klimagassreduksjon er blitt et svært viktig tema den siste tiden, og vi mennesker ... -
Collaborative robots – a process technology strategy to enable Leagile Manufacturing
(Master thesis, 2017)The collaborative approach where humans use robots as an intelligent assistant in the same workspace to achieve a common goal have become a powerful tool. Collaborative robots support quick adaptation to changing ... -
Collective Intelligence Function in Extreme Weather Conditions: High-Resolution Impact Assessment of Energy Flexibility on Building Energy Performance
(Chapter, 2023)Collective intelligence (CI) in demand-side management (DSM) can enhance the flexibility of urban energy systems. Extreme climates cause intensively high loads on the urban energy systems resulting in power outages. To ... -
The combined impact of stochastic and correlated activity durations and design uncertainty on project plans
(Peer reviewed; Journal article, 2020)Most model based studies on project uncertainty investigate a single source of uncertainty, with a dominant focus on stochastic activity durations. However, another major uncertainty facing engineering projects is that of ... -
Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway
(Journal article; Peer reviewed, 2018)Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ... -
Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply
(Chapter, 2017)Monitoring of Norovirus in drinking water supply is a complicated, rather expensive, process. Norovirus represent a leading cause of acute gastroenteritis in most developed countries. Modeling of general microbial occurrence ... -
Comparison of Machine Learning Techniques for Structural Condition Assessment of Sewer Network
(Peer reviewed; Journal article, 2022)Assessment of sewer condition is one of the critical steps in asset management and support investment decisions; therefore, condition assessment models with high accuracy are important that can help utility managers and ... -
Component-based Modelling and Simulation for Marine Crane System Design.
(Master thesis, 2016)This master thesis is going to develop a hydraulic components library for modelling and simulation for marine crane system design. The topic of this thesis is "Component-based modelling and simulation for marine crane ...