Assessing the state of health (SOH) is essential for guaranteeing the safety and maintenance of lithium-ion batteries (LIBs). Nevertheless, due to the complex operating conditions, accurately estimating the capacity o...
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Effective diagnosis of diabetes is crucial for managing the disease and preventing complications. This study explores the use of machine learning for diabetes prediction, focusing on the impact of data preprocessing o...
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The electrolysis of renewable energy to produce hydrogen has become a strategy for supporting a decarbonized economy. However, it is typically not cost-effective compared to conventional carbon-emitting methods. Due t...
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Fault diagnosis is difficult to determine intrinsic locality relationships of multi-modal fault data. Aiming at the issue, we propose a novel cross-modal hyperbolic subspace fault diagnosis method. In the method, we c...
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The human fingertip consists of a fingerprint with many micro-grating *** main roles of the fingerprint could be divided into two purposes,namely,the enhancement of the frictional force and the effective transmittance...
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The human fingertip consists of a fingerprint with many micro-grating *** main roles of the fingerprint could be divided into two purposes,namely,the enhancement of the frictional force and the effective transmittance of the *** this study,we present the fingerprint-inspired end-effector that has not only admirable frictional force but also electric *** end-effector is composed of fluorocarbon rubber,one of the famous materials to achieve high frictional force and *** various experiments,the novel performance of micro structured fluorocarbon rubber end-effector(MSFE)is characterized by comparing with a macroscale patterned sample(MPS),which has been already used in real industrial *** results are analyzed ***,as feasible applications,we suggest two applications based on the role of the *** is the conductive astronaut glove with high frictional force,and the other one is a non-slip pad for the next-generation glass transfer *** these experiments,we successfully observe the enhanced system performance and confirm the possibility of using the MSFE as feasible *** believe that the MSFE could be a useful and powerful alternative as an end-effector,not only in the aerospace industry but also in display manufacturing processes.
Additive Manufacturing (AM) is becoming increasingly prevalent in diverse industries due to its ability to manufacture intricate and unique components at lower production costs. Despite its advantages in design flexib...
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The comprehensive utilization of wood is the main goal of log cutting,but knot defects increase the diffi-culty of rationally optimizing *** to the lack of real shape data of knot defects in logs,it is diffi cult for ...
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The comprehensive utilization of wood is the main goal of log cutting,but knot defects increase the diffi-culty of rationally optimizing *** to the lack of real shape data of knot defects in logs,it is diffi cult for detection methods to establish a correlation between signal and defect *** image-processing method is proposed for knot inversion based on distance regularized level set segmentation(DRLSE)and spatial vertex clustering,and with the inversion of the defects existing relative board position in the log,an inversion model of the knot defect is ***,the defect edges of the top and bottom images of the boards are extracted by DRLSE and ellipse fi tting,and the major axes of the ellipses made coplanar by angle correction;second,the coordinate points of the top and bottom ellipse edges are extracted to form a spatial straight line;third,to solve the intersection dispersion of spatial straight lines and the major axis plane,K-medoids clustering is used to locate the ***,with the vertex and the large ellipse,a 3D cone model is constructed which can be used to invert the shape of knots in the *** experiment was conducted on ten defective larch boards,and the experimental results showed that this method can accurately invert the shapes of defects in solid wood boards with the advantages of low cost and easy operation.
Neural community-primarily based time series analysis (NNTSA) is an effective technique for research records collected from wireless sensor networks (WSNs). NNTSA uses models stimulated by means of biological neural n...
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Interactive communication media algorithms are useful tools for creating efficient and effective networking applications. Such algorithms enable the application to accurately predict user behaviour and preferences, us...
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Aiming at the recognition and classification problem of micro assembly parts in industrial production, the Yolov8 object detection algorithm was used as the base model to improve the C2f class in the backbone. And app...
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