Article
Engineering, Marine
Jun Yu, Xiaoming Cheng, Yali Fan, Xinyun Ni, Ying Chen, Yonglin Ye
Summary: Floating offshore aquaculture platforms are popular for meeting the increasing demand for seafood products. This study focuses on the performance of the mooring system under different environmental conditions. A numerical method based on potential flow theory and Morison equation is proposed for assessing hydrodynamic loads, while a hybrid mooring system is designed to enhance performance. Experimental tests are conducted to validate the numerical predictions. The results show the accuracy of the proposed method in predicting aquaculture platform and mooring system performance.
Article
Engineering, Marine
Liang Wang, Lei Wang, Mingchao Cui, Mingxiao Liang, Haitian Liu
Summary: In this study, a design methodology combining NSGA-II and the cable-platform coupled model is used to optimize the mooring system of an offshore aquaculture platform. The effectiveness of the design is validated through numerical simulation and experimental validation. The results show that the mooring system designed using NSGA-II can provide a relatively radical solution considering a limited budget.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Ocean
Nazhmiddin Nasyrlayev, Ashley P. Dyson, Gholamreza Kefayati, Ali Tolooiyan
Summary: This study investigates the effects of high energy environments on slender gravity salmon fish cages in offshore aquaculture. A Finite Element Method (FEM) model was used to simulate the responses of the cages to different load conditions. The results showed that symmetrical orientations of the cages experienced lower anchor line tensions. This study provides valuable data for the design of offshore aquaculture anchors in high-energy regions.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Marine
Guanhua Zhao, Yuliang Zhao, Sheng Dong
Summary: This paper analyzes the system reliability of the mooring system for floating offshore wind turbines, considering various failure modes and employing a new mooring breaking assessment algorithm. The results show that fatigue damage has a significant impact on the breaking strength of mooring lines, and ignoring the dependence between the residual strength and cumulative fatigue damage would lead to underestimated results.
Article
Green & Sustainable Science & Technology
Hung-Jie Tang, Wen-Son Chiang, Fan-Hua Nan
Summary: This paper investigates the engineering feasibility of cage aquaculture in the offshore wind farm area of Changhua, Taiwan. The study compares different types of net cages under typhoon and monsoon wave conditions and analyzes their submersible function to reduce the impact of waves. The yearly probability of remaining volumes of the selected cages is analyzed, considering the wave scatter diagram and tidal currents. The study also considers the influences of water depth and potential disasters related to the seabed sand waves. The results indicate that the selected cage aquaculture is feasible from an engineering standpoint in the study area.
Article
Fisheries
Lauren Watson, Lynne Falconer, Trine Dale, Trevor C. Telfer
Summary: The study highlights the inconsistency in defining "offshore" aquaculture and the perception among stakeholders in Scotland regarding the key characteristics of offshore environments. While some stakeholders consider wave exposure as the main feature, existing regulations are deemed inadequate for offshore salmon production. This emphasizes the need for a consistent terminology and potential modifications to regulations in order to support offshore aquaculture development.
Article
Environmental Sciences
Hongchun Zhu, Zhiwei Lu, Chao Zhang, Yanrui Yang, Guocan Zhu, Yining Zhang, Haiying Liu
Summary: This study proposes a method for the accurate extraction of different algae aquaculture zones using spectral information and deep learning technology and verifies its effectiveness and accuracy through experiments. It provides a new solution for the classification of marine aquaculture area information under small sample conditions.
Article
Engineering, Marine
Hung-Jie Tang, Ray-Yeng Yang, Hao-Cheng Yao
Summary: This study investigated the impact of mooring line failure on an aquaculture net cage through laboratory experiments and numerical simulations. Results showed that when one upstream mooring line failed, the load in the other line increased significantly, but the system reached a new force equilibrium quickly. Additionally, significant yaw rotation of the floating collar of the net-cage system was observed.
Article
Engineering, Ocean
Hongbing Liu, Chuanyang Zhao, Gang Ma, Lixing He, Liping Sun, Hui Li
Summary: A new reliability assessment method based on an intelligent algorithm is proposed for the failure problems associated with floating offshore wind turbine mooring systems. The hydrodynamic, together with the aerodynamic and axial tension forces of the mooring chains, are obtained through integrated simulations. The TLBO and ITLBO algorithms show higher efficiency and faster convergence speed compared to traditional reliability algorithms, making them recommended for evaluating the reliability of FOWT mooring systems.
APPLIED OCEAN RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Shanyu Chen, Fengjun Duan, Shigeru Tabeta
Summary: This research presents a conceptual multipurpose floating platform (MPFP) that combines different marine technologies to serve industry needs and reduce negative impacts. The system includes tuna aquaculture, microalgae cultivation and processing, and ocean thermal energy conversion (OTEC) infrastructure to increase profitability. The evaluation shows that the system achieves sustainability (IIIlight ≤ 0) within a lifetime of approximately 20 years.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Marine
Yuting Zhai, Haisheng Zhao, Xin Li, Wei Shi
Summary: The dynamic responses of a new structure combining a barge-type floating offshore wind turbine and an aquaculture cage were investigated numerically. The study found that the barge-type FOWT-AC exhibited lower standard deviation of motion responses compared to the barge-type FOWT under South China Sea environmental conditions. The presence of the aquaculture cage in the barge-type FOWT-AC led to a smaller standard deviation in motion responses, indicating a more stable structure. The study also analyzed the effects of second-order hydrodynamic response and mooring line breaking scenario on the dynamic behavior of the barge-type FOWT-AC.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Sung Youn Boo, Steffen Allan Shelley, Seung-Ho Shin, Jiyong Park, Yoon-Jin Ha
Summary: There is a growing interest in integrating offshore wind farms and aquaculture farms as hybrid installations to optimize ocean space use. In this study, a sub-surface longline oyster farm is installed in a fixed offshore wind farm, supported by polypropylene farm lines and moored with catenary mooring arrangements. The strength and fatigue designs of the mooring and farm lines are evaluated against industry standards and found to comply with design requirements.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Yuting Zhai, Haisheng Zhao, Xin Li, Wei Shi
Summary: This study designs a novel large-scale barge-type floating offshore wind turbine with an aquaculture cage (LSBT-FOWT-AC) at a water depth of 100 m using the SESAM tool. The intact stability and natural period of motion are evaluated, and the dynamic responses under various sea conditions are studied. The results show that the LSBT-FOWT-AC is significantly affected by waves, but its motion response remains within a reasonable range even under extreme sea conditions.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Wei-Wei Ding, Jia-Qiang Jiang, Wan-Zhen Yue, Yan-Zhen Li, Wen-Sheng Wang, Song-Wei Sheng, Min Chen
Summary: To address the limitations of traditional aquaculture cages, a new semi-submersible aquaculture platform has been developed, which shows improved performance in offshore environments and the ability to integrate modern farming facilities. Numerical analysis indicates that the net system significantly affects the hydrodynamic performance of the platform and reduces its dynamic response.
APPLIED SCIENCES-BASEL
(2023)
Article
Agricultural Engineering
Songchen Yu, Hongde Qin, Peng Li, Zhijing Xu
Summary: This paper investigates the nonlinear vertical accelerations and mooring loads of a semi-submersible offshore fish farm model under extreme conditions. The results show that harmonic accelerations are wave period-dependent and independent of model positions. Experimental measurements and numerical simulations exhibit differences in accelerations under wave-only conditions.
AQUACULTURAL ENGINEERING
(2021)
Article
Chemistry, Analytical
Rami Riane, Mohamed Zinelabidine Doghmane, Madjid Kidouche, Kong Fah Tee, Sofiane Djezzar
Summary: This paper aims to eliminate severe stick-slip vibrations along the drill string of a rotary drilling system using the LQG observer-based controller approach. An observer was designed to estimate unknown inputs, and a controller with 10 degrees of freedom was implemented in the drill string model. Simulation and experimental results showed that the proposed controller had better performance and robustness compared to other controllers. It is recommended to use this approach in smart rotary drilling systems.
Article
Energy & Fuels
Said Eladj, Mohamed Zinelabidine Doghmane, Tanina Kenza Lounissi, Mabrouk Djeddi, Kong Fah Tee, Sofiane Djezzar
Summary: The main objective of this research is to evaluate the wellbore stability of oil and gas wells based on a 3D geomechanical model. By using a seismic inversion model, the reservoir can be efficiently characterized and a reliable 3D geomechanical model can be built. This model is used to optimize drilling mud weight parameters to ensure wellbore stability and prevent reservoir damage caused by excessive surfactant use.
Review
Engineering, Chemical
Abdul Quadir Md, Keshav Jha, Sabireen Haneef, Arun Kumar Sivaraman, Kong Fah Tee
Summary: In manufacturing, maintaining product quality is crucial for staying ahead of the competition. Manufacturers invest resources in quality control and assurance to improve the quality of their products. Visual quality inspections can cause bottlenecks before and after assembly, prompting the use of advanced sensors and machine learning techniques to enhance quality.
Article
Computer Science, Artificial Intelligence
Md Abdul Quadir, Sanjit Kapoor, A. V. Chris Junni, Arun Kumar Sivaraman, Kong Fah Tee, H. Sabireen, N. Janakiraman
Summary: Stock markets are volatile and predicting stock prices accurately is a complex task. This study proposes an optimization approach for stock price prediction using a Multi-Layer Sequential Long Short Term Memory (MLS LSTM) model with the adam optimizer. The results show high prediction accuracy and outperformance compared to other machine learning and deep learning algorithms.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Abdul Quadir Md, S. M. Satya Sree Narayanan, H. Sabireen, Arun Kumar Sivaraman, Kong Fah Tee
Summary: Since the launch of Ether as a digital currency, it has quickly become the second most valuable digital currency in the world. With over 1 million transactions happening on the Ethereum network daily, the need to detect fraudulent accounts associated with these transactions has become crucial. This paper proposes a novel approach using machine learning algorithms to validate transactions and detect fraudulent activities.
Review
Green & Sustainable Science & Technology
Christy Jackson Joshua, Prassanna Jayachandran, Abdul Quadir Md, Arun Kumar Sivaraman, Kong Fah Tee
Summary: This article discusses the issues of network connectivity and optimization methods in vehicular ad hoc networks (VANETs). Research has shown that various difficulties in VANETs can be solved by applying techniques derived from nature and evolution. Additionally, the use of information and communication technologies can reduce accident rates, improve mobility, and mitigate environmental impacts through parameter tuning approaches. Significant research works are presented regarding cluster formation, routing, and scheduling of broadcasts.
Article
Medicine, General & Internal
J. Jeba Sonia, Prassanna Jayachandran, Abdul Quadir Md, Senthilkumar Mohan, Arun Kumar Sivaraman, Kong Fah Tee
Summary: The prevalence of chronic illnesses associated with high blood sugar, known as diabetes mellitus, has been increasing over the past few decades. Diabetes mellitus has three types: type 1, type 2, and gestational diabetes. A novel system using a multi-layer neural network algorithm is proposed to classify the three types of diabetes mellitus. The system achieves an accuracy score of 97% and outperforms other models in terms of sensitivity and specificity.
Article
Biochemistry & Molecular Biology
Muthu Ganesh Veerabaku, Janakiraman Nithiyanantham, Shabana Urooj, Abdul Quadir Md, Arun Kumar Sivaraman, Kong Fah Tee
Summary: Wireless Body Area Network (WBAN) is a new technology in Wireless Sensor Networks (WSN) that enhances the healthcare system by monitoring individuals' physical signals. It is a low-cost wearable system for continuous monitoring of cardiovascular health. This paper proposes a new heart disease prediction method under WBAN that uses Improved Dingo Optimizer (IDOX) algorithm and deep learning techniques.
Article
Materials Science, Multidisciplinary
Jia Ning Siew, Qi Yan Tan, Kar Sing Lim, Jolius Gimbun, Kong Fah Tee, Siew Choo Chin
Summary: This paper presents a finite-element model of RC beams with and without openings strengthened with BFRC plates. The simulation results show good agreement with experimental observations. The most successful arrangement for strengthening beams with openings is to place BFRC plates perpendicular to the crack on both sides of the beam's surface, which significantly increases the load-bearing capacity. Attaching a BFRC plate to the entire bottom soffit is the most effective method for strengthening RC beams in flexure, but it reduces the beam's ductility.
Article
Materials Science, Ceramics
Abayomi Adewale Akinwande, Olanrewaju Seun Adesina, Adeolu Adesoji Adediran, Oluwatosin Abiodun Balogun, David Mukuro, Oluwayomi Peter Balogun, Kong Fah Tee, M. Saravana Kumar
Summary: This study investigated the effect of adding palm kernel shell ash (PKA), rice husk ash (RHA), and waste steel particles (STP) to Al-6061-T6 alloy on its morphology and strength behavior. The experimental results showed that the proportions of the particles and stirring temperature played a significant role in these properties. The optimum mix was found to be 4.81% PKA, 5.41% RHA, and a stirring temperature of 803 degrees C, which yielded reliable responses with <5% deviation from the predicted values.
CERAMICS-SWITZERLAND
(2023)
Article
Nanoscience & Nanotechnology
Yongfeng Fang, Zizhe Fang, Kong Fah Tee
Summary: This paper investigates the mechanical and electrical output of a piezoelectric cantilever beam under inverse piezoelectric condition. The limit state equation for the mechanical and electrical reliability of the beam is derived. The proposed reliability model, obtained using the first-order second-moment method, is shown to be robust and practical, validated by an engineering problem.
Article
Green & Sustainable Science & Technology
Chayaporn Ngampravatdee, Koorosh Gharehbaghi, Amin Hosseinian-Far, Kong Fah Tee, Kerry Mcmanus
Summary: This study explores the key components of an effective public stakeholder engagement process in large transport infrastructure projects, through in-depth analysis of stakeholder management processes, infrastructure complexities, and stakeholder engagement as a holistic framework. The findings highlight the importance of engagement framework and objectives, which are dependent on the characteristics of public stakeholders and the project scope.
Article
Materials Science, Multidisciplinary
Oluwayomi Peter Balogun, Kenneth Kanayo Alaneme, Adeolu Adesoji Adediran, Isiaka Oluwole Oladele, Joseph Ajibade Omotoyinbo, Kong Fah Tee
Summary: This study investigates the physical and mechanical properties of short Entada mannii-glass fiber polypropylene hybrid composites. The experimental results show that the hybrid composites have improved properties compared to the single reinforced composites.
Article
Engineering, Mechanical
Idir Kessai, Samir Benammar, Mohamed Zinelabidine Doghmane, Kong Fah Tee
Summary: Late detection of cracks can lead to serious failures and damages of drilling components. Preventive maintenance and periodic inspections can help engineers detect cracks before they reach critical sizes. Modal analysis and finite element analysis combined with artificial neural networks were used to dynamically estimate the depth and location of a circular arc crack in drill pipes.
Article
Management
M. H. Kakaei-Lafdani, Ali Karevan, Kong Fah Tee, Majid Yazdani
Summary: This paper discusses the implementation of Six Sigma in spiral pipe manufacturing, focusing on weld quality and pipe circumstances to reduce overall production costs. The research shows significant improvement in production process and cost reduction after using the DMAIC method effectively.
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT
(2022)
