Article
Psychology, Multidisciplinary
Chien-Hung Wu
Summary: This article proposes a robot umpire system in sailing races based on Artificial Intelligence (AI) techniques, using drones and AIoT technology to monitor the matches and improve fairness and efficiency.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
M. Tanveer, A. Tiwari, R. Choudhary, M. A. Ganaie
Summary: This study proposes a novel large scale pinball twin support vector machine (LPTWSVM) to address the limitations of the twin support vector machines (TWSVMs), using a unique pinball loss function and improving model performance by eliminating matrix inversion calculation and minimizing structural risk.
Article
Computer Science, Artificial Intelligence
Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng
Summary: This paper investigates the general forms and characteristics of nonparallel support vector machines (NSVMs) and categorizes them into two types. It reveals the advantages and defects of different types and points out the inconsistency problems. Based on this observation, a novel max-min distance-based NSVM is proposed with desired consistency. The proposed NSVM has the consistency of training and test and the consistency of metric, and it assigns each sample an ascertained loss.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Mehrnaz Ahmadi, Mehdi Khashei
Summary: Support vector machines (SVMs) are widely used in modeling, but traditional SVMs and fuzzy SVMs may not be sufficient for modeling both certain and uncertain patterns simultaneously. This paper proposes a generalized SVM that can effectively model both kinds of patterns to achieve more accurate wind speed forecasting results.
Article
Computer Science, Artificial Intelligence
Xiaoming Wang, Shitong Wang, Zengxi Huang, Yajun Du
Summary: This paper introduces a novel method called sparse support vector machine guided by radius-margin bound (RMB-SSVM) to efficiently condense the basis vectors in support vector machines. By selecting basis vectors and learning corresponding coefficients with a criterion related to SVM's generalization ability, the RMB-SSVM model can yield better performance.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Sambhav Jain, Reshma Rastogi
Summary: This paper proposes Parametric non-parallel support vector machines for binary pattern classification. The model brings noise resilience and sparsity by intelligently redesigning the Support vector machine optimization. The experimental results validate its scalability for large scale problems.
Article
Computer Science, Information Systems
Sebastian Maldonado, Julio Lopez, Carla Vairetti
Summary: The predictive performance of classification methods relies heavily on the nature of the environment and dataset shift issue. A novel Fuzzy Support Vector Machine strategy is proposed in this paper to improve performance by redefining the loss function and applying aggregation operators to deal with dataset shift. Our methods outperform traditional classifiers in terms of out-of-time prediction using simulated and real-world dataset for credit scoring.
INFORMATION SCIENCES
(2021)
Article
Energy & Fuels
Harsh Dhiman, Dipankar Deb, S. M. Muyeen, Innocent Kamwa
Summary: Data-driven condition monitoring using adaptive threshold and TWSVM for wind turbine gearbox anomaly detection improves reliability and reduces downtime. By analyzing gearbox oil and bearing temperatures as time-series, the proposed method shows accurate performance compared to standard classifiers.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Computer Science, Artificial Intelligence
Wangyong Lv, Tingting Li, Huali Ren, Shijing Zeng, Jiao Zhou
Summary: The IDH-MSVM algorithm adjusts the distance between hyperplanes and classical margins to handle multiclassification problems more flexibly. Experimental results on UCI standard data sets show that this method achieves better classification accuracy for multiclass data compared to other algorithms.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Agronomy
Junliang Fan, Jing Zheng, Lifeng Wu, Fucang Zhang
Summary: Accurate estimation of plant transpiration (T) is crucial for agricultural production, and this study investigated the use of machine learning models to estimate daily T of summer maize. Incorporating soil water content and leaf area index variables improved model performance, with the deep neural network (DNN) model slightly outperforming others.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Hunter Goddard, Lior Shamir
Summary: Deep convolutional neural networks (DCNNs) are superior in classifying image data with large labeled datasets, but SVMs provide higher accuracy when there are limited labeled images available.
Review
Computer Science, Information Systems
Arijit Chakraborty, Sajal Mitra, Debashis De, Anindya Jyoti Pal, Ferial Ghaemi, Ali Ahmadian, Massimiliano Ferrara
Summary: Protein-Protein Interaction (PPI) is a crucial network in biology that requires fast, accurate, and critical analysis, with Support Vector Machine (SVM) being an effective tool for solving complex classification problems.
Article
Mathematics
Roberto Barcenas, Maria Gonzalez-Lima, Joaquin Ortega, Adolfo Quiroz
Summary: The effectiveness of subsampling methods in reducing the required instances in the training stage of using support vector machines (SVMs) for classification in big data scenarios is explored in this paper with theoretical results. The main theorem states that, under certain conditions, a feasible solution can be found for the SVM problem using a randomly chosen subsample, which can be as close as desired to the classifier trained with the complete dataset in terms of classification error. Additionally, a new subsampling method called importance sampling and bagging is proposed, which provides a faster solution to the SVM problem without significant loss in accuracy compared to existing techniques.
Article
Chemistry, Analytical
Juri Taborri, Eduardo Palermo, Stefano Rossi
Summary: Refereeing subjectivity leads to questioning the results of race walking. Artificial-intelligence-based technologies, such as WARNING, have shown potential in overcoming this limitation. This paper presents the integration of wearable sensors with a support vector machine algorithm to automatically identify race-walking faults. The study evaluates thirteen machine learning algorithms and confirms the potential of WARNING as a referee assistant in race-walking competitions and training sessions.
Article
Green & Sustainable Science & Technology
Emanuele Ogliari, Manfredo Guilizzoni, Alessandro Giglio, Silvia Pretto
Summary: With the continuous expansion of global wind energy installed capacity, there is a growing demand for reliable wind power forecasting methods. The study shows that data-driven approaches outperform traditional physical models in daily wind power prediction.
Article
Engineering, Civil
Amir Ali Safaei Pirooz, Richard G. J. Flay, Richard Turner
Summary: This study estimates design wind speeds and lee-zone multipliers for New Zealand through historical wind data analysis and numerical weather prediction model. It highlights the importance of homogenization of data and extreme value analysis and proposes significant changes for future wind-loading standards, including adding a new wind region, refining wind zone boundaries, and modifying lee-zone regions and multipliers.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Engineering, Multidisciplinary
Shao-bo Qi, Guang-yan Huang, Xu-dong Zhi, Feng Fan, Richard G. J. Flay
Summary: This paper investigates the effect of blast load variability on the design value and the structural dynamic response for dome structures. It proposes a reliability-based external blast load factor technique to estimate structural damage levels and enhance the structural anti-explosion capacity.
DEFENCE TECHNOLOGY
(2022)
Article
Engineering, Civil
Gonglian Dai, Zhiwei Xu, Y. Frank Chen, Richard G. J. Flay, Huiming Rao
Summary: This study analyzed the wind field characteristics of Typhoon Bailu in the southeast coastal bay of China in 2019. It found that the amplitude of the typhoon spectra decreased almost one order of magnitude after the second landfall, and a logarithmic model was more consistent with the measured wind speed profile. Strong coherence of u and w components at low frequencies was also demonstrated.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Mechanics
J. A. Smith, G. Pisetta, I. M. Viola
Summary: The study investigates the reattachment characteristics of leading-edge separation bubbles on flat plates at zero and small incidences, developing a formula to predict the reattachment length. Experimental and theoretical studies show that the length of the bubble is governed by Reynolds numbers in turbulent conditions.
Article
Engineering, Mechanical
Abel Arredondo-Galeana, Anna M. Young, Amanda S. M. Smyth, Ignazio Maria Viola
Summary: Passive trailing-edge flaps can effectively alleviate unsteady load fluctuations by up to 25% without affecting the mean load, with effectiveness dependent on their size relative to the foil.
JOURNAL OF FLUIDS AND STRUCTURES
(2021)
Article
Engineering, Marine
Ignazio Maria Viola, Abel Arredondo-Galeana, Gabriele Pisetta
Summary: This paper proposes a paradigm based on established concepts in theoretical fluid mechanics to address lift and drag generation in separated flow conditions. By associating force generation with the vorticity field, designers of lifting surfaces are provided with a measurable objective to optimize shape in separated flow conditions.
Article
Mechanics
Jean-Baptiste R. G. Souppez, Patrick Bot, Ignazio Maria Viola
Summary: The study investigates the flow around a circular arc and its effects on forces. It is found that a leading-edge separation bubble is formed on the convex side of the arc, leading to boundary layer separation. The force crisis is associated with the suppressed relaminarization of the boundary layer, and the critical angle of attack exhibits a linear relationship with the Reynolds number.
Article
Engineering, Marine
Abel Arredondo-Galeana, Aristides Kiprakis, Ignazio Maria Viola
Summary: This paper investigates the active surface morphing technique at low cost and low Reynolds number for underwater applications. Experimental results show that the method can increase lift by 1% and decrease drag by 6% under fast actuation. The approach is applicable to the marine environment and more economical than existing technologies.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Ignazio Maria Viola, Alex Nila, Thomas Davey, Roman Gabl
Summary: A new white-light volumetric flow measurement technique is introduced for largescale facilities. This technique enables accurate measurement of large volumes without the need for a class-4 laser. Experimental results show that the LED-based Lagrangian particle tracking velocimetry can effectively measure the tip vortex formation and near wake of a tidal turbine in a water tank.
JOURNAL OF VISUALIZATION
(2022)
Article
Engineering, Civil
Zhiwei Xu, Gonglian Dai, Limao Zhang, Y. Frank Chen, Richard G. J. Flay, Huiming Rao
Summary: This study proposed and validated a hybrid approach for predicting the extreme buffeting response of bridges, considering multi-dimensional non-Gaussian random variables. The results showed that the non-Gaussian typhoon decreased the lateral extreme response, while increasing the vertical extreme response. Additionally, there was a strong correlation between the non-Gaussian intensity of the wind component and the lateral buffeting response.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Multidisciplinary Sciences
Madeleine Seale, Annamaria Kiss, Simone Bovio, Ignazio Maria Viola, Enrico Mastropaolo, Arezki Boudaoud, Naomi Nakayama
Summary: This article introduces the mechanism by which plants generate motion through the absorption and release of water, using the example of the dandelion to explore the relationship between the structure and function of closing its hairy pappus. Through studying the structure and properties of the actuator cell walls, the authors identify the mechanism by which the dandelion pappus closes and develop a structural computational model to investigate its critical design features. The actuator relies on the radial arrangement of vascular bundles and surrounding tissues to coordinate movement. This simple material-based mechanism has promising biomimetic potential in robotics and functional materials.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Civil
Jean-Baptiste R. G. Souppez, Ignazio Maria Viola
Summary: This study develops a blockage correction method using experimental methods, which allows for an extended range of model sizes that can be tested in water and wind tunnels, and contributes to the accurate accounting of blockage effects at transitional Reynolds number conditions.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Green & Sustainable Science & Technology
Stefano Gambuzza, Gabriele Pisetta, Thomas Davey, Jeffrey Steynor, Ignazio Maria Viola
Summary: Tidal currents are a renewable and predictable energy source that can reduce dependence on fossil fuels. However, they are highly unsteady and non-uniform, resulting in undesirable load fluctuations on turbine blades and the drive train. A passive morphing blade concept has been formulated to reduce these load fluctuations without affecting the mean loads, and its effectiveness has been demonstrated through experimental tests on a 1.2-m diameter turbine. This study also highlights critical design aspects, such as minimizing friction resistance, for the successful implementation of morphing blades in tidal turbines.
Article
Robotics
Ruby Marshall, Jean-Baptiste R. G. Souppez, Mariya Khan, Ignazio Maria Viola, Hiroyuki Nabae, Koichi Suzumori, Adam A. Stokes, Francesco Giorgio-Serchi
Summary: Active textiles have great potential in soft robotics due to their tunable stiffness and design flexibility. However, there is currently no rigorous and generalizable characterization of these systems due to the wide design space of planar and spatial arrangements of woven structures. In this study, a parametric study of plain weave active fabrics was conducted to characterize their mechanical properties under varying muscle densities and pressures. The findings provide insights into the mechanical properties of active textiles and may contribute to the development of wearable technologies and biomedical devices in the future.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Mechanical
Shuji Otomo, Sabrina Henne, Karen Mulleners, Kiran Ramesh, Ignazio Maria Viola
Summary: The study shows that combining Theodorsen's linear theory with unsteady thin-aerofoil theory can accurately predict the forces on an aerofoil during large flow variations, particularly with high accuracy in the presence of intense vortices. However, the accuracy of the model decreases when leading and trailing edge vortices interact with each other.
EXPERIMENTS IN FLUIDS
(2021)
Article
Engineering, Marine
Alba Ricondo, Laura Cagigal, Beatriz Perez-Diaz, Fernando J. Mendez
Summary: This research presents a site-specific metamodel based on the SWASH numerical model simulations, which can predict coastal hydrodynamic variables in a fast and efficient manner. The metamodel uses downscaled and dimensionality reduced synthetic database to accurately reproduce wave setup, wave heights associated with different frequency bands, and wave runup. This method has great potential in coastal risk assessments, early warning systems, and climate change projections.
Article
Engineering, Marine
Xiao Yu, Wangjun Ren, Bukui Zhou, Li Chen, Xiangyun Xu, Genmao Ren
Summary: This study investigated and compared the compression responses and energy absorption capacities of coral sand and silica sand at a strain rate of approximately 1000 s-1. The results showed that coral sand had significantly higher energy absorption capacity than silica sand due to its higher compressibility. The study findings suggest that using poorly graded coral sand can improve its energy absorption capacity.
Article
Engineering, Marine
Jingxi Zhang, Junmin Mou, Linying Chen, Pengfei Chen, Mengxia Li
Summary: This paper proposes a cooperative control scheme for ship formation tracking based on Model Predictive Control. A predictive observer is designed to estimate the current motion states of the leader ship using delayed motion information. Comparative simulations demonstrate the effectiveness and robustness of the proposed controller.
Article
Engineering, Marine
Yu Yao, Danni Zhong, Qijia Shi, Ji Wu, Jiangxia Li
Summary: This study proposes a 2DH numerical model based on Boussinesq equations to investigate the impact of dredging reef-flat sand on wave characteristics and wave-driven current. The model is verified through wave flume experiments and wave basin experiments, and the influences of incident wave conditions and pit morphological features on wave characteristics are examined.
Article
Engineering, Marine
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Summary: This study investigates the double-average turbulence characteristics of combined wave-current flow over a rough bed with different spacing arrangements. The results show that a spacing ratio of p/r=4 offers the highest resistance to the flow, and the double-average Reynolds stress decreases throughout the flow depth. The advection of momentum-flux of normal stress shows an increase at the outer layer and a decrease near the bed region after wave imposition. Maximum turbulence kinetic energy production and diffusion occur at different layers. The turbulence structure is strongly anisotropic at the bottom region and near the outer layer, with a decrease in anisotropy observed with an increase in roughness spacing.
Article
Engineering, Marine
Meng Zhang, Lianghui Sun, Yaoguo Xie
Summary: The research proposes a method for online identification of wave bending and torsional moment in hull structures. For structures without large openings, the method optimizes sensor positions and establishes a mathematical model to improve accuracy. For structures with large openings, a joint dual-section monitoring method is proposed to simultaneously identify bending and torsional moments in multiple key cross sections.
Article
Engineering, Marine
Longming Chen, Shutao Li, Yeqing Chen, Dong Guo, Wanli Wei, Qiushi Yan
Summary: This study investigated the dynamic response characteristics and damage modes of pile wharves subjected to underwater explosions. The results showed that the main damaged components of the pile wharf were the piles, and inclined piles had a higher probability of moderate or more significant damage compared to vertical piles. The study also suggested that replacing inclined piles with alternative optimized structures benefits the blast resistance of pile wharves.
Article
Engineering, Marine
I. -C Kim, G. Ducrozet, V. Leroy, F. Bonnefoy, Y. Perignon, S. Bourguignon
Summary: Previous research focused on the accuracy and efficiency of short-term wave fields in specific prediction zones, while we developed algorithms for continuous wave prediction based on the practical prediction zone and discussed important time factors and strategies to reduce computational costs.
Article
Engineering, Marine
Hang Xie, Xianglin Dai, Fang Liu, Xinyu Liu
Summary: This study investigates the load characteristics of a three-dimensional stern model with pitch angle through a drop test, and reveals complex characteristics of pressure distribution near the stern shaft. The study also shows that the vibration characteristics of the load are influenced by the drop height and pitch angle, with the drop height having a greater effect on the high-frequency components.
Article
Engineering, Marine
Hangyuan Zhang, Wanli Yang, Dewen Liu, Xiaokun Geng, Wangyu Dai, Yuzhi Zhang
Summary: The deep-water bridge is more vulnerable to earthquake damage than the bridge standing in air. The larger blocking ratio has a significant impact on the added mass coefficient, which requires further comprehensive study. The generation mechanism of block effect is analyzed using numerical simulation software ANSYS Fluent. The results show that the recirculation zone with focus reduces the pressure on the back surface of the cylinder, resulting in the peak value of in-line force not occurring synchronously with the peak value of acceleration. The change in position and intensity of the recirculation zone with focus, as well as the change in water flow around the cylinder surface, are identified as the generation mechanism of the block effect, which has a 10% influence on the hydrodynamic force. The changing rule of the added mass coefficient with blocking ratio is discussed in detail, and a modification approach to the current added mass coefficient calculation method is suggested. Physical experiments are conducted to validate the modification approach, and the results show that it is accurate and can be used in further study and real practice.
Article
Engineering, Marine
Golnesa Karimi-Zindashti, Ozgur Kurc
Summary: This study examines the performance of an in-house code utilizing a deterministic vortex method on the rotation of circular and square cylinders. The results show that rotational motion reduces drag forces, suppresses fluctuating forces, and increases lift forces. The code accurately predicts vortex shedding suppression and identifies the emergence of near-field wakes in the flow over rotating square cylinders.
Article
Engineering, Marine
George Dafermos, George Zaraphonitis
Summary: The survivability of damaged ships is of great importance and the regulatory framework is constantly updated. The introduction of the probabilistic damage stability framework has rationalized the assessment procedure. Flooding simulation tools can be used to investigate the dynamic response of damaged ships.
Article
Engineering, Marine
Xuyue Chen, Xu Du, Chengkai Weng, Jin Yang, Deli Gao, Dongyu Su, Gan Wang
Summary: This paper proposes a real-time drilling parameters optimization method for offshore large-scale cluster extended reach drilling based on intelligent optimization algorithm and machine learning. By establishing a ROP model with long short-term memory neurons, and combining genetic algorithm, differential evolution algorithm, and particle swarm algorithm, the method achieves real-time optimization of drilling parameters and significantly improves the ROP.
Article
Engineering, Marine
Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Summary: This study investigates the dynamic behavior of a moored submerged floating tunnel (SFT) under tsunami-like waves through numerical simulations and sensitivity tests. The results show that design parameters significantly affect the dynamics of the SFT system and mooring tensions, with shorter-duration and higher-elevation tsunamis having a greater impact.
Article
Engineering, Marine
G. Clarindo, C. Guedes Soares
Summary: Environmental contours are constructed using the Inverse-First Order Reliability Method based on return periods. The paper proposes the use of the Burr distribution to model the marginal distribution of long-term significant wave heights. The newly implemented scheme results in different environmental contours compared to the reference approach.
