In a first-of-its-kind study, we propose an online feature selection (OFS) framework for streaming data under big data paradigm, by proposing (i) parallel hybrid particle swarm optimization (PSO)-based wrapper, (ii) a...
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Performing online feature subset selection (OFS) when data samples arrive at a high velocity in a time-dependent manner is a critical problem to solve. The situation becomes more difficult when the features also arriv...
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Modern enterprise systems allow users to access the network and associated applications remotely while being mobile. Internet Service Providers (ISPs) support this access through mobile networks. Public mobile network...
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In the docking stage of autonomous aerial refueling, the drogue will have a relatively high frequency swing motion under the combined influence of atmospheric turbulence, wind gust and tanker wake vortex, which poses ...
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Predicting the productivity of multistage fractured horizontal wells plays an important role in exploiting unconventional *** recent years,machine learning(ML)models have emerged as a new approach for such ***,the sca...
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Predicting the productivity of multistage fractured horizontal wells plays an important role in exploiting unconventional *** recent years,machine learning(ML)models have emerged as a new approach for such ***,the scarcity of sufficient real data for model training often leads to imprecise predictions,even though the models trained with real data better characterize geological and engineering *** tackle this issue,we propose an ML model that can obtain reliable results even with a small amount of data *** model integrates the synthetic minority oversampling technique(SMOTE)to expand the data volume,the support vector machine(SVM)for model training,and the particle swarm optimization(PSO)algorithm for optimizing *** enhance the model performance,we conduct feature fusion and dimensionality ***,we examine the influences of different sample sizes and ML models for *** proposed model demonstrates higher prediction accuracy and generalization ability,achieving a predicted R^(2)value of up to 0.9 for the test set,compared to the traditional ML techniques with an R^(2)of *** model accurately predicts the production of fractured horizontal wells even with limited samples,supplying an efficient tool for optimizing the production of unconventional ***,the model holds the potential applicability to address similar challenges in other fields constrained by scarce data samples.
Fixed-wing aircraft cannot maintain optimal aerodynamic performance at different flight speeds. As a type of morphing aircraft, the shear variable-sweep wing(SVSW) can dramatically improve its aerodynamic performance ...
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Fixed-wing aircraft cannot maintain optimal aerodynamic performance at different flight speeds. As a type of morphing aircraft, the shear variable-sweep wing(SVSW) can dramatically improve its aerodynamic performance by altering its shape to adapt to various flight *** order to achieve smooth continuous shear deformation, SVSW's skin adopts a flexible composite skin design instead of traditional aluminum alloy materials. However, this also brings about the non-linear difficulty in stiffness modeling and calculation. In this research, a new SVSW design and efficient stiffness modeling method are proposed. Based on shear deformation theory, the flexible composite skin is equivalently modeled as diagonally arranged nonlinear springs, simulating the elastic force interaction between the skin and the mechanism. By shear loading tests of flexible composite skin, the accuracy of this flexible composite skin modeling method is verified. The SVSW stiffness model was established, and its accuracy was verified through static loading tests. The effects of root connection, sweep angles, and flexible composite skin on the SVSW stiffness are analyzed. Finally, considering three typical flight conditions of SVSW: low-speed flow(Ma = 0.3,Re = 5.82 × 10^(6)), transonic flow(Ma = 0.9, Re = 3.44 × 10^(6)), and supersonic flow(Ma = 3,Re = 7.51 × 10^(6)), the stiffness characteristics of SVSW under flight conditions were *** calculated results guide the application of SVSW.
After revisiting the previous review [1] of Cu dual damascene BEOL original definitions and continuous, sustaining innovations to the present, we combine several new breakthroughs: one novel material;one novel integra...
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In many fields, t he i mage r etrieval t echnique is crucial to efficiently s earch a l arge a mount o f i mage d ata and find similar images. Today, people use large amounts of big data produced in digital environmen...
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This paper considers the automatic carrier landing problem of carrier-based aircrafts subjected to constraints,deck motion,measurement noises,and unknown *** iterative model predictive control(MPC)strategy with constr...
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This paper considers the automatic carrier landing problem of carrier-based aircrafts subjected to constraints,deck motion,measurement noises,and unknown *** iterative model predictive control(MPC)strategy with constraints is proposed for automatic landing control of the ***,the long short-term memory(LSTM)neural network is used to calculate the adaptive reference trajectories of the *** the Sage-Husa adaptive Kalman filter and the disturbance observer are introduced to design the composite ***,an iterative optimization algorithm is presented to fast solve the receding horizon optimal control problem of MPC based on the Lagrange’s ***,some sufficient conditions are derived to guarantee the stability of the landing system in a closed loop with the ***,the simulation results of F/A-18A aircraft show that compared with the conventional MPC,the presented MPC strategy improves the computational efficiency by nearly 56%and satisfies the control performance requirements of carrier landing.
The rapid rise in teenage internet use has heightened the need for effective e-safety and cybersecurity measures. However, existing models often lack the precision and adaptability required to address the complex and ...
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