Browsing NTNU Open by Author "Zhang, Houxiang"
Now showing items 61-80 of 144
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FMI4j: A Software Package for working with Functional Mock-up Units on the Java Virtual Machine
Hatledal, Lars Ivar; Zhang, Houxiang; Styve, Arne; Hovland, Geir (Chapter, 2018)This paper introduces FMI4j, a software package for working with Functional Mock-up Units (FMUs) on the Java Virtual Machine (JVM). FMI4j is written in Kotlin, which is 100% interoperable with Java, and consists of programming ... -
FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units
Hatledal, Lars Ivar; Zhang, Houxiang; Styve, Arne; Hovland, Geir (Chapter, 2019)The main goal of the Functional Mock-up Interface (FMI) standard is to allow simulation models to be shared across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ... -
From natural complexity to biomimetic simplification: realization of bionic fish inspired by the Cownose Ray
Cai, Yueri; Bi, Shusheng; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2018) -
Gated Convolutional Neural Network for Wind Turbine Blade Icing Detection
Tian, Weiwei; Cheng, Xu; Shi, Fan; Li, Guoyuan; Chen, Shengyong; Zhang, Houxiang (Chapter, 2022)Blade icing detection plays an important role in wind turbine protection and maintenance. Employing well trained deep learning model is a promising method for blade ice detection but needs effective neural networks for ... -
Genetic Algorithm-based Parameter Identification for Ship Manoeuvring Model under Wind Disturbance
Zhu, Mingda (Master thesis, 2021)With the rapid development in ship digitalization and automation, to accurately determine the ship mathematical model has become much more demanding. Dynamic ship mathematical model with high fidelity is the indispensable ... -
A human-expertise based statistical method for analysis of log data from a commuter ferry
Wu, Baiheng; Li, Guoyuan; Zhao, Luman; Hildre, Hans Petter; Zhang, Houxiang (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 ... -
A Hybrid Approach to Motion Prediction for Ship Docking— Integration of a Neural Network Model into the Ship Dynamic Model
Skulstad, Robert; Li, Guoyuan; Fossen, Thor I.; Vik, Bjørnar; Zhang, Houxiang (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 ... -
Hydrodynamic development of a bionic pectoral fin for undersea monitoring platform
Cai, Yueri; Ren, Xingwei; Bi, Shusheng; Li, Guoyuan; Hildre, Hans Petter; Zhang, Houxiang (Journal article; Peer reviewed, 2018)Bionic pectoral fins play an essential role in achieving the superior swimming ability of the bio-inspired undersea monitoring platform by producing desired movements and propulsion forces. This paper discusses the ... -
Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction
Wang, Tongtong; Li, Guoyuan; Hatledal, Lars Ivar; Skulstad, Robert; Æsøy, Vilmar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)High-fidelity models capable of accurately predicting ship motion are critical for promoting innovation and efficiency in the maritime industry. However, creating an advanced model that comprehensively represents the system ... -
Incorporation of ship motion prediction into active heave compensation for offshore crane operation
Chu, Yingguang; Li, Guoyuan; Zhang, Houxiang (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. ... -
An Integrated Approach to Modelling Fish Cage Response in the Flow
Gao, Sihan; Gansel, Lars Christian; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Noticeable progress has been made in recent years regarding sensor-based monitoring and model-based simulation of sea cage response. The discrepancy between measured data and simulation results can cause confusion about ... -
Integrated multi-domain system modelling and simulation for offshore crane operations
Chu, Yingguang; Æsøy, Vilmar; Ehlers, Sören; Zhang, Houxiang (Journal article; Peer reviewed, 2015)Advanced offshore machinery, such as an offshore crane, usually involves several energy domains. Modelling and simulation of multi-domain systems is challenging because of not only the complexity in modelling of the related ... -
Integration of Aquaculture Inspection Platform
Morken, Ole; Sætre, Lars Even; Liavaag, Sigurd Olav (Bachelor thesis, 2019)Denne oppgaven handler om integrering av tre tidligere utviklede systemer, en plattform, en vinsj og en ROV. Målet med dette prosjektet er å vise funksjonaliteten til systemet som en enhet. Platformen kan transportere ROV ... -
Integration of visual focus into marine operation simulator for behavior observation and analysis
Li, Guoyuan; homlong, Eirik; Dimmen, Bjørn Aase; Zhang, Houxiang (Chapter; Peer reviewed, 2017)This paper presents a framework of visual focus integration into marine operation simulator for behavior observation and analysis. Towards an evaluation of trainees' situation awareness in simulators, the eye tracking ... -
Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models
Han, Peihua; Zhu, Mingda; Zhang, Houxiang (Peer reviewed; Journal article, 2023)Navigation safety is of paramount importance in areas with heavy and complex maritime traffic. Any ship navigating such a scenario should be able to foresee the future positions of other ships and adjust its path accordingly ... -
Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications
Kakavandi, Fatemeh; Han, Peihua; Reus, Roger de; Larsen, Peter Gorm; Zhang, Houxiang (Chapter, 2023)Different explainable techniques have been introduced to overcome the challenges in complex machine learning models, such as uncertainty and lack of interpretability in sensitive processes. This paper presents an interpretable ... -
Investigating an Integrated Sensor Fusion System for Mental Fatigue Assessment for Demanding Maritime Operations
Monteiro, Thiago Gabriel; Li, Guoyuan; Skourup, Charlotte; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Human-related issues are currently the most significant factor in maritime causalities, especially in demanding operations that require coordination between two or more vessels and/or other maritime structures. Some of ... -
Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction
Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2022)A ship automation will be a key to the future maritime. In particular, ship dynamic models play an integral role. However, it is challenging to develop an accurate model readily. Recent studies proposed a physics-data ... -
Knowledge transfer strategy for enhancement of ship maneuvering model
Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2023)The advancement of autonomous vehicles and concerns about ship navigation safety have resulted in a greater need for ship model quality. However, in situations where there is limited prior information or data available ... -
Leveraging Past Experience for Path planning of Marine Vessel: A Docking Example
Han, Peihua; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2022)Path planning before maneuvering is crucial for the safe and efficient operations of marine vessels. The past successful human maneuvering experience can be leveraged to enable the safe and efficient path planning of ...