Institutt for havromsoperasjoner og byggteknikk
Recent Submissions
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Open Simulation Platform – An Open-Source Project for Maritime System Co-Simulation
(Chapter, 2020)The Open Simulation Platform (OSP) is an open-source industry initiative for co-simulation of maritime equipment, systems and entire ships. With steadily increasing complexity due to the increasing use of software in ship ... -
SpectralSeaNet: spectrogram and convolutional network-based sea state estimation
(Chapter, 2020)Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model ... -
Multi-ship collision avoidance control strategy in close-quarters situations: a case study of Dover Strait ferry maneuvering
(Chapter, 2020)Multi-ship collision avoidance is challenging in busy waters like the Dover Strait. Usually, ships follow the rules for avoiding collisions which are given by the Convention on the International Regulations for Preventing ... -
Mayday, Mayday, Mayday: Using salivary cortisol to detect distress (and eustress!) in critical incident training
(Peer reviewed; Journal article, 2020)The understanding of stress and its impact on human performance is crucial to mitigate human error in the face of a threat. This is especially the case for critical incidents on a ship bridge, where human error can easily ... -
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 ... -
A Novel Channel and Temporal-wise Attention in Convolutional Networks for Multivariate Time Series Classification
(Peer reviewed; Journal article, 2020)Multivariate time series classification (MTSC) is a fundamental and essential research problem in the domain of time series data mining. Recently deep neural networks emerged as an end-to-end solution for MTSC and achieve ... -
A human-expertise based statistical method for analysis of log data from a commuter ferry
(Chapter, 2020)The proposed method in this paper aims to better understand the log data from the commuter ferry. By the method, the mechanism of how the human expertise operates the ferry can be found, and thus help to establish ship ... -
An effective model-based thruster failure detection method for dynamically positioned ships
(Chapter, 2020)This paper presents an effective model-based thruster failure detection and isolation method for dynamically positioned (DP) offshore surface vessels. A DP vessel is supposed to maintain its position and heading at a ... -
Decarbonization synergies from joint planning of electricity and hydrogen production: A Texas case study
(Peer reviewed; Journal article, 2020)Hydrogen (H2) shows promise as an energy carrier in contributing to emissions reductions from sectors which have been difficult to decarbonize, like industry and transportation. At the same time, flexible H2 production via ... -
Incorporation of ship motion prediction into active heave compensation for offshore crane operation
(Chapter, 2020)Ship motion has significant effects on certain maritime applications like offshore crane operation. In particular, the vertical heave motion is undesired for safe transferring, accurate positioning and subsea installation. ... -
Development of Onboard Decision Supporting System for Ship Docking Operations
(Chapter, 2020)Maritime operations inevitably influenced by the wind, wave, sea currents, or other perturbations at sea. Providing decision support for these operations based on historical and real-time data of ship status is thus of ... -
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. ... -
Calculating Hourly Cost Rates In Project-Based Industries Part 2: cost management
(Peer reviewed; Journal article, 2020)Hourly cost rates are crucial project costing due to the substantial proportion of labor costs in projects. Yet, there is little published about calculating hourly cost rates, and it is a contentious topic in corporations. ... -
Making Sense of Maritime Simulators Use: A Multiple Case Study in Norway
(Peer reviewed; Journal article, 2020)This paper reports a multiple case study of a training center collaboration with three offshore companies and a coastline authority. Through a qualitative inquiry, we utilized the actor-network theory to analyze the common ... -
Online Fault Detection in Autonomous Ferries: Using fault-type in-dependent spectral anomaly detection
(Peer reviewed; Journal article, 2020)Enthusiasm for ship autonomy is flourishing in the maritime industry. In this context, data-driven Prognostics and Health Management (PHM) systems have emerged as the optimal way to improve operational reliability and ... -
Maritime Design: A CSCW Territory?
(Research report, 2020)This paper focuses on remote-control and autonomous vessels from a sociological perspective. We report that if CSCW research aims to shed light on other disciplines, researchers should be reflexive insider that first ... -
Enabling Python Driven Co-Simulation Models with PythonFMU
(Chapter, 2020)This paper introduces PythonFMU, an easy to use framework for exporting Python 3.x code as cosimulation compatible models compliant with version 2.0 of the Functional Mock-up Interface (FMI). The framework consists of a ... -
An effective ship control strategy for collision-free maneuver toward a dock
(Peer reviewed; Journal article, 2020)Ship maneuvering toward a dock is a hot research topic in the field of autonomous ships. How to realize autonomous low-speed maneuver to a designated location under environmental disturbances is the fundamental problem at ... -
A Hybrid Approach to Motion Prediction for Ship Docking— Integration of a Neural Network Model into the Ship Dynamic Model
(Peer reviewed; Journal article, 2020)While automatic controllers are frequently used during transit operations and low-speed maneuvering of ships, ship operators typically perform docking maneuvers. This task is more or less challenging depending on factors ... -
Flexible riser replacement operation based on advanced virtual prototyping
(Peer reviewed; Journal article, 2020)As a critical campaign in the offshore oil and gas engineering, flexible riser replacements involve complex operations that need to be optimized and detailed to factor in trends in the industry. Since it allows engineers ...
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