In this study, we introduce the design of a mobile robot with a splitting wheel to improve stability when overcoming stairs. The designed mobile robot usually moves on circular wheels but can convert into a split shap...
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This study proposes the radius-increasing expanding wheel to solve problems encountered by conventional variable wheels. Conventional wheels have difficulty achieving high-speed travel due to their incomplete circular...
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When a long distance HVDC transmission system discharges current into the earth through its grounding electrode,ground potential differences appear in a large *** therefore part of the DC current may flow into nearby ...
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When a long distance HVDC transmission system discharges current into the earth through its grounding electrode,ground potential differences appear in a large *** therefore part of the DC current may flow into nearby pipelines which may be dangerous to the equipment and personnel,and may aggravate *** this paper,an equivalent circuit based on the method of moments is introduced to calculate the current and potential distributions along a pipeline with damaged anticorrosive *** current-dependent electrochemical polarization potential between soil and the metal pipe,due to the damage of the anticorrosive coating,is taken into account by using the Newton-Raphson *** circuit is verified through a reduced scale *** examining the circuit,the effect of the damaged anticorrosive coating on the leakage current and the pipe potential with respect to soil along the pipeline is analyzed.
Tribo-behavior is a complex system-based time-dependent process,and it is difficult to accurately model a tribo-system and predict its ***,tribology research,in most cases,has relied on extensive *** by the artificial...
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Tribo-behavior is a complex system-based time-dependent process,and it is difficult to accurately model a tribo-system and predict its ***,tribology research,in most cases,has relied on extensive *** by the artificial intelligence(AI)-for-science revolution,AI and other emerging computational approaches provide opportunities to explore the complex processes in tribo-systems and the physical mechanisms of tribo-behavior in an efficient way,significantly pushing the boundaries of tribology research.
Ransomware attacks pose a significant threat to critical infrastructures,demanding robust detection *** study introduces a hybrid model that combines vision transformer(ViT)and one-dimensional convolutional neural net...
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Ransomware attacks pose a significant threat to critical infrastructures,demanding robust detection *** study introduces a hybrid model that combines vision transformer(ViT)and one-dimensional convolutional neural network(1DCNN)architectures to enhance ransomware detection *** common challenges in ransomware detection,particularly dataset class imbalance,the synthetic minority oversampling technique(SMOTE)is employed to generate synthetic samples for minority class,thereby improving detection *** integration of ViT and 1DCNN through feature fusion enables the model to capture both global contextual and local sequential features,resulting in comprehensive ransomware *** on the UNSW-NB15 dataset,the proposed ViT-1DCNN model achieved 98%detection accuracy with precision,recall,and F1-score metrics surpassing conventional *** approach not only reduces false positives and negatives but also offers scalability and robustness for real-world cybersecurity *** results demonstrate the model’s potential as an effective tool for proactive ransomware detection,especially in environments where evolving threats require adaptable and high-accuracy solutions.
In this paper, a dynamic condition-based maintenance model is presented for a degrading system using a reinforcement learning approach. The system utilises a critical machine with multiple production states, which are...
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This paper designs a fractional-order sliding mode control (FSMC) of a permanent magnet synchronous generator (PMSG)-based wind energy conversion system, where attempts to extract the maximum wind power point tracking...
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In agriculture, removing withered leaves is crucial for maintaining crop quality and preventing pests and diseases. This paper proposes a method for estimating the pose of wilted leaves and removing wilted leaves. Whi...
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In recent years, the need for surface life-saving is gradually increasing as a response to accidents such as ship collisions in the marine environment. To solve this problem, there were approaches that launched life-s...
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With remarkable learning capabilities and swift operational speeds,artificial intelligence(AI)can assist researchers in swiftly extracting valuable patterns,trends,and associations from subjective *** behaviors are ch...
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With remarkable learning capabilities and swift operational speeds,artificial intelligence(AI)can assist researchers in swiftly extracting valuable patterns,trends,and associations from subjective *** behaviors are characterized by dependence on systems,evolution with time,and multidisciplinary *** friction process involves a variety of phenomena,including mechanics,thermology,electricity,optics,magnetics,and so ***,tribological information possesses the distinct characteristics of being multidisciplinary,multilevel,and multiscale,so that the application of AI in tribology is highly *** delineate the scope,classification,and recent trends of AI implementation in tribology,this review embarks on exploration of the tribology research *** comprehensively outlines the utilization of AI in basic theory of tribology,intelligent tribology,component tribology,extreme tribology,bio-tribology,green tribology,and other ***,considering the emergence of"tribo-informatics"as a novel interdisciplinary field,which combines tribology with informatics,this review elucidates the future directions and research framework of"AI for tribology".In this paper,tribo-system information is divided into 5 categories:input information(I),system intrinsic information(S),output information(O),tribological state information(Ts),and derived state information(Ds).Then,a fusion method among 5 types of tribo-system information and different AI technologies(regression,classification,clustering,and dimension reduction)has been proposed,which enables tribo-informatics methods to solve common problems such as tribological behavior state monitoring,behavior prediction,and system *** purpose of this review is to offer a systematic comprehension of tribo-informatics and to inspire new research ideas of ***,it aspires to enhance the efficiency of problem-solving in tribology.
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