Blar i NTNU Open på forfatter "Li, Guoyuan"
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SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Journal article; Peer reviewed, 2023)Autonomous vessels have been identified as a promising innovation in advancing marine transportation, providing an effective means to mitigate the risk of accidents, pollution incidents, and carbon dioxide emissions. ... -
Sailing status recognition to enhance safety awareness and path routing for a commuter ferry
Wu, Baiheng; Li, Guoyuan; Wang, Tongtong; Hildre, Hans Petter; Zhang, Houxiang (Peer reviewed; Journal article, 2021)This paper suggests a framework about how log data are used to develop a classifier to recognise the sailing status of a commuter ferry, which, in turn, serves as a tool of safety awareness. Several sailing scenarios are ... -
Sensitivity Analysis of Marine Operations Subjected to Environmental Loads Using Co-simulation Approach
Liu, Zizheng; Chu, Yingguang; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Chapter, 2023)In this paper, a sensitivity analysis evaluation strategy of marine operations subjected to environmental loads is present. The data generation is based on the co-simulation platform Vico where the virtual marine operation ... -
A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations.
Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The safety of offshore operations is highly dependent on the dynamic positioning (DP) capability of a vessel. Meanwhile, DP capability comes down to the ability of the thrust generated by thrusters to counteract environmental ... -
Ship maneuvering model optimization for improved identification with less excitation
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2023)The precise model of a ship is the foundation for its operation and control. The traditional methods of building such models are time-consuming and require large amounts of simulation data, sea trial experiments, or ... -
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Peer reviewed; Journal article, 2024)The safety of maritime operations has become a paramount concern with the advancement of intelligent ships. Ship stability and safety are directly impacted by roll motion, making the prediction of short-term ship roll ... -
Simplifying neural network based model for ship motion prediction: a comparative study of sensitivity analysis
Cheng, Xu; Chen, Shengyong; Diao, Chen; Liu, Mengna; Li, Guoyuan; Zhang, Houxiang (Chapter, 2017)This paper presents a comparative study of sensitivity analysis (SA) and simplification on artificial neural network (ANN) based model used for ship motion prediction. Considering traditional structural complexity of ANN ... -
Snake-like robot using LiDAR
Grindvik, Marcus Olai (Bachelor thesis, 2020)Denne rapporten er en fortsettelse av et mekatronikk-prosjekt som ble laget for et teoretisk redningsoppdrag etter f.eks. jordskjelv. Målet med prosjektet er å gjøre roboten mindre avhengig av stabile omgivelser. For å ... -
SpectralSeaNet: spectrogram and convolutional network-based sea state estimation
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang; Chen, Shengyong (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 ... -
Survey for Interdisciplinary Co-supervision on Bachelor Thesis in Nautical Science
Wu, Baiheng; Aandahl, Hans-Ingar Johansen; Bosneagu, Romeo; Sæter, Martin Lied; Cosofret, Doru; Avram, Elena Rita; Zhang, Houxiang; Li, Guoyuan (Peer reviewed; Journal article, 2023)As the development of emerging technologies is applied in the maritime industry and nautical operations, an interdisciplinary supervision approach is expected to be designed in this subject to enable students the ability ... -
A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations
Mao, Runze; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Peer reviewed; Journal article, 2021)In the last decade researchers have increasingly considered eye tracking of the operators of cars and airplanes as a means to address human error and evaluate operational effectiveness. This article presents a systematic ... -
Synthesis of Human-in-the-Loop Navigational Operations towards Maritime Autonomous Surface Ships
Wu, Baiheng (Doctoral theses at NTNU;2022:326, Doctoral thesis, 2022)Maritime transportation is indispensable to the world economy as it dominates over 95 % of the trade volume, so stakeholders have been striving to promote maritime transportation efficiency and sailing security. Benefitted ... -
Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades
Cheng, Xu; Shi, Fan; Zhao, Meng; Li, Guoyuan; Zhang, Houxiang; Chen, Shengyong (Peer reviewed; Journal article, 2021)Wind farms are usually located in high-latitude areas, which increases produced energy but creates a high risk of icing. Traditional methods of anti-blade-icing are limited by the extra cost and the potential damages to ... -
Toward an online decision support system to improve collision risk assessment at sea
Zhao, Luman; Sunikumar, Sai Rana Thattavelil; Wu, Baiheng; Li, Guoyuan; Zhang, Houxiang (Journal article; Peer reviewed, 2022) -
Toward optimization of maritime training on communications: a pilot study
Pan, Yushan; Li, Guoyuan; Nistad, Steinar; Hildre, Hans Petter (Chapter, 2017)Intelligent machines and advancing IT technologies enabling operators on a ship’s bridge can work together with the platform and other vessels via communications channels. Even though research has addressed on the importance ... -
Toward Remote Control Center for Marine Operation: A Case Study of R/V Gunnerus
Li, Guoyuan; Holmeset, Finn Tore; Zhang, Houxiang (Chapter, 2023)Today, with the rapid development of emerging technologies such as the Internet of Things and digital twins, remote management of ship operations has promising prospects. In this paper, we present a remote control center ... -
Toward Time-Optimal Trajectory Planning for Autonomous Ship Maneuvering in Close-Range Encounters
Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2019)Ship intelligence has been a hot topic in recent years. How to achieve autonomous maneuvers in a complex marine environment in a safe, efficient, and low-cost manner is a fundamental task that ocean engineers face. This ... -
Towards uncertainty and sensitivity analysis for modal parameters identification during ice–structure interaction
Wang, Chunlin; Nord, Torodd Skjerve; Ziemer, Gesa; Li, Guoyuan (Peer reviewed; Journal article, 2023)The integrity of offshore structures is prone to the threat of drifting sea ice. By exciting the natural frequencies of the ice–structure interaction system, severe vibrations may occur. For a better understanding of how ... -
Uncertainty and sensitivity analysis for the performance evaluation of ship dynamical model
Wang, Chunlin; Wang, Tongtong; Nord, Torodd Skjerve; Zhang, Houxiang; Li, Guoyuan; Osen, Ottar (Chapter, 2022)Model uncertainty is pervasive and inherent in the engineering field. It could bring potential risks in real applications, especially for ship behaviour prediction under environmental disturbances. The evaluation and ... -
An Uncertainty-aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses
Han, Peihua; Li, Guoyuan; Cheng, Xu; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Situation awareness is essential 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 responses ...