273 Result(s)
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Article
An assembly sequence monitoring method based on workflow modeling for human–robot collaborative assembly
Human–robot collaborative assembly (HRCA) is one of the hot trends in intelligent manufacturing and has gained the attention of many researchers. In HRCA, errors in assembly sequence may reduce working efficie...
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Article
A Fountain-Coding Based Cooperative Jamming Strategy for Secure Service Migration in Edge Computing
In 5G, users can easily enjoy services by accessing the edge devices (EDs) deployed around the base stations. Generally, due to the uneven distribution and mobility of users, one ED is required to serve multip...
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Article
A novel unbalanced signal extraction method based on quadratic SSA-VMD for micro-motor rotor
Vibration signal processing is the key to the dynamic balance of micro-motor rotors. Aiming at the extraction accuracy of the amplitude and phase of the unbalanced vibration signal of micro-motor rotors, a fea...
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Article
Open AccessCompressive confocal microscopy imaging at the single-photon level with ultra-low sampling ratios
Laser-scanning confocal microscopy serves as a critical instrument for microscopic research in biology. However, it suffers from low imaging speed and high phototoxicity. Here we build a novel deep compressive...
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Article
Effect of reinforced particles on the machinability of Al alloy under MQL, cryogenic, and hybrid lubrication
Aluminum-based metal matrix composites (MMCs) offer a high strength-to-weight ratio with excellent abrasion resistance, finding vast applications in aerospace industries. However, machining these materials is ...
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Article
Tunable bandgaps of a metamaterial beam with nonlinear magnetic resonators
This paper presents a metamaterial beam with the nonlinear magnetic mass-beam (NMMB) resonators to achieve certain tunable bandgaps. The metamaterial beam consists of the upper and lower faceplates and the per...
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Article
Cross Stage Partial Dilated Convolution Network for License Plate Recognition
License plate recognition (LPR) is a crucial task in traffic management, but traditional methods face limitations in accuracy and speed that are mutually constraining. In this paper, we propose an efficient li...
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Article
Cost-efficient Hierarchical Federated Edge Learning for Satellite-terrestrial Internet of Things
With the widespread deployment of dense Low Earth Orbit (LEO) constellations, satellites can serve as an alternative solution to the lack of proximal multi-access edge computing (MEC) servers for mobile Intern...
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Article
Photovoltaic DC arc fault detection method based on deep residual shrinkage network
Distributed photovoltaic systems have encountered unprecedented opportunities for development given their environmentally friendly nature and flexible power generation characteristics. However, numerous connec...
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Article
Design and implementation of control method for LED driver based on light intensity feedback
Traditional control method of LED driver is mainly based on current control mode. Due to the nonlinear characteristics of V–I curve, conventional control methods are more suitable for steady-state control. Mea...
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Article
Spatiotemporal dynamics of a modified FitzHugh–Nagumo neuronal network with time delays
Over the past decades, spatiotemporal dynamics has received considerable attention in many fields, such as biology, chemistry and neuroscience. This paper reveals the spiral wave dynamics in a two-dimensional ...
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Article
Deep learning-based melt pool and porosity detection in components fabricated by laser powder bed fusion
Microstructure analysis is a crucial aspect of additive manufacturing (AM) processes, as it offers valuable insights into material properties, defects, and quality of printed parts. Quantification of microstru...
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Article
RSGNN: residual structure graph neural network
Compared to conventional artificial neural networks, Graph Neural Networks (GNNs) better handle graph-structured data. Graph topology plays an important role in learning graph representations and impacts the p...
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Article
Open AccessA novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM
Early warning of existing bridges is now predominated by deterministic methods. However, these methods face challenges in expressing uncertain factors (such as wind load, temperature load, and other variables,...
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Article
Dynamics of a nonlinear vibration absorption system with time delay
This paper reveals the dynamical responses of a time-delayed nonlinear vibration absorption system under harmonic excitation. The slow and fast dynamics of the forced system are analyzed by using complex avera...
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Article
CI-UNet: melding convnext and cross-dimensional attention for robust medical image segmentation
Deep learning-based methods have recently shown great promise in medical image segmentation task. However, CNN-based frameworks struggle with inadequate long-range spatial dependency capture, whereas Transform...
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Article
Towards sustainability assessment, energy consumption, and carbon emissions in cryogenic drilling of Alloy 20: a new approach towards sustainable future and challenges
Both the product and the manufacturing process must be sustainable in today’s modern world. Traditional machining methods are undesirable when working with heat-resistant alloys. These methods could be more ef...
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Article
Open AccessDecohesion of graphene from a uniaxially-stretched substrate: Failure analysis of a frictional adhesive interface
Composite structures consisting of two-dimensional (2D) materials deposited on elastic substrates have a wide range of potential applications in flexible electronics. For such devices, robust 2D film/substrate...
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Article
Efficiency optimization control of permanent magnet synchronous motors for pure electric vehicles based on GBDT
In this paper, “Machine learning” is introduced to motor efficiency optimization control to improve the operating efficiency of the permanent magnet synchronous motors (PMSMs) for pure electric vehicles. A cur...
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Article
The Analysis of Higher Order Nonlinear Vibrations of an Elastic Beam with the Extended Galerkin Method
The analysis of vibrations of an elastic beam is one of the persistently challenging problems in engineering and mathematics. The differential equation of vibrations of a beam under large deformation, or the t...