Blar i Institutt for havromsoperasjoner og byggteknikk på dokumenttype "Chapter"
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Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation
(IEEE International Conference on Mechatronics and Automation;, Chapter, 2019)The maritime industry generally anticipates having semi-autonomous ferries in commercial use on the west coast of Norway by the end of this decade. In order to schedule maintenance operations of critical components in a ... -
Automatic production of patient adapted orthopaedic braces using 3D -modelling technology
(Chapter, 2020)The research group in biomechanics at NTNU Aalesund works in close cooperation with the orthopaedic surgeons at Aalesund Hospital. One of the research activities has been to develop an automatic procedure for producing ... -
Building Trustable Remote Monitoring and Management Systems
(Chapter, 2018)Internet of Things (IoT) is an emerging technology that expands wireless and mobile networks into heterogeneous network of connected devices. Trustable remote monitoring and management systems are required to establish a ... -
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 ... -
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. ... -
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 ... -
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 ... -
Concept Design and Simulation of a Water Proofing Modular Robot for Amphibious Locomotion
(Chapter, 2017)This paper will introduce a novel adaptive modular robot for amphibious locomotion research. First, an overview of modular robotic research is given systematically. In this project, we concentrate on designing a new kind ... -
Cyber Trust in the Norwegian Online Flea Market: An Ethnographic Study on Fraud
(Chapter, 2020)This work-in-progress paper reports an ethnographic study on how cyber trust could be designed to prevent online fraud. A yearlong ethnographic study was conducted with a group of victims who were scammed in online shopping. ... -
Data-Driven Approaches to Diagnostics and State of Health Monitoring of Maritime Battery Systems
(Chapter, 2023)Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and maneuvering is growing. In order to ensure the safety ... -
Data-Driven Prediction of Ship Propulsion Power Using Spark Parallel Random Forest on Comprehensive Ship Operation Data
(Chapter, 2022)This paper aims to propose an efficient machine learning framework for maritime big data and use it to train a random forest model to estimate ships’ propulsion power based on ship operation data. The comprehensive data ... -
Data-driven sea state estimation for vessels using multi-domain features from motion responses
(Chapter, 2021)Situation awareness is of great importance for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion ... -
Data-Driven Ship Design
(Chapter, 2018)This paper proposes data-driven methods thinkingto the ship design practices, enabling effective data collection, quality, access, analysis and monitoring during the vessel lifecycle.Data is here understood as the key ... -
Decision Transparency for enhanced human-machine collaboration for autonomous ships
(Chapter, 2023)Maritime Autonomous Surface Ships (MASS) are quickly emerging as a gamechanging technology in various parts of the world. They can be used for a wide range of applications, including cargo transportation, oceanographic ... -
Description of ship motion and comparison of a real-time unified hydrodynamic model with free running tests in calm water and regular waves
(Chapter, 2020)Ship bridge simulators are well established in education practices of seafarers and mariners. The use of simulators in research is ramping up due to the EU motivation towards Blue Growth, where the quantity and quality of ... -
Design of Digital Planner and 3D Vision System for Robot Bin Picking
(Chapter, 2023)Robot bin picking plays an important role in modern manufacturing process. In order to make these manufacturing systems more efficient and productive, it is essential to make a valid grasping plan from gripper design, ... -
Detecting Mental Fatigue in Vessel Pilots Using Deep Learning and Physiological Sensors
(Chapter, 2019)Nowadays, human related issues are the main causes of accidents in the maritime domain. Among these issues, mental fatigue is responsible for reducing cognitive capabilities, situational awareness, and decision-making ... -
Development of a manufacturing system for gear assembly using collaborative robots
(Chapter, 2021)Using robots in manufacturing processes is becoming more and more common. Robots can perform repetitive tasks that are not suitable for humans. Using robots in production can also save both time and money, as well as ...