With the increasing production of petroleum-based plastics,the problem of environmental pollution caused by plastics has aroused widespread ***,which are formed by the fragmentation of macro plastics,are bio-accumulat...
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With the increasing production of petroleum-based plastics,the problem of environmental pollution caused by plastics has aroused widespread ***,which are formed by the fragmentation of macro plastics,are bio-accumulate easily due to their small size and slow degradation under natural *** aging of plastics is an inevitable process for their degradation and enhancement of adsorption performance toward pollutants due to a series of changes in their physiochemical properties,which significantly increase the toxicity and harm of ***,studies should focus on the aging process of microplastics through reasonable characterization methods to promote the aging process and prevent white *** review summarizes the latest progress in natural aging process and characterization methods to determine the natural aging mechanism of *** addition,recent advances in the artificial aging of microplastic pollutants are *** degradation status and by-products of biodegradable plastics in the natural environment and whether they can truly solve the plastic pollution problem have been *** from the literature pointed out that the aging process of microplastics lacks professional and exclusive characterization methods,which include qualitative and quantitative *** lessen the toxicity of microplastics in the environment,future research directions have been suggested based on existing problems in the current *** review could provide a systematic reference for in-depth exploration of the aging mechanism and behavior of microplastics in natural and artificial systems.
Space time adaptive processing (STAP) plays an important role in the field of airborne radar clutter suppression. However, due to the inhomogeneity of the clutter environment, the radar system is unable to obtain enou...
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In recent years, the proportion of wind power in electricity contribution is increasing, and wind power generation technology has developed rapidly. How to enhance the stability of wind turbine systems and extend thei...
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Few shot object detection is a challenging task in computer vision, as it involves detecting objects from a small number of examples. This makes it difficult for traditional object detection methods to generalize well...
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Small multirotors demonstrate significant potential due to their simple airframe and human-friendly operation. However, the reduced size results in substantially higher energy consumption, which severely limits their ...
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This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, w...
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This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.
Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-...
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Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-D Markov jump systems(MJSs) or 2-D semi-Markov jump systems(SMJSs).This letter investigates the control of 2-D SMJSs based on a novel mode generation mechanism,which could avoid mode ambiguousness phenomenon caused by the evolution of system mode in two different *** criterion that guarantees the almost surely exponential stability of the system is obtained.A thermal process is studied to demonstrate the availability of the proposed method.
This study proposes a novel gradient‐based neural network model with an activated variable parameter,named as the activated variable parameter gradient‐based neural network(AVPGNN)model,to solve time‐varying constr...
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This study proposes a novel gradient‐based neural network model with an activated variable parameter,named as the activated variable parameter gradient‐based neural network(AVPGNN)model,to solve time‐varying constrained quadratic programming(TVCQP)*** with the existing models,the AVPGNN model has the following advantages:(1)avoids the matrix inverse,which can significantly reduce the computing complexity;(2)introduces the time‐derivative of the time‐varying param-eters in the TVCQP problem by adding an activated variable parameter,enabling the AVPGNN model to achieve a predictive calculation that achieves zero residual error in theory;(3)adopts the activation function to accelerate the convergence *** solve the TVCQP problem with the AVPGNN model,the TVCQP problem is transformed into a non‐linear equation with a non‐linear compensation problem function based on the Karush Kuhn Tucker ***,a variable parameter with an activation function is employed to design the AVPGNN *** accuracy and convergence rate of the AVPGNN model are rigorously analysed in ***,numerical experiments are also executed to demonstrate the effectiveness and superiority of the proposed ***,to explore the feasibility of the AVPGNN model,appli-cations to the motion planning of a robotic manipulator and the portfolio selection of marketed securities are illustrated.
This paper presents an experimental study on the resistance law of a rod vertically penetrating different kinds of multilayer granular rafts with a constant velocity so as to reveal the mechanical properties of the mu...
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This paper presents an experimental study on the resistance law of a rod vertically penetrating different kinds of multilayer granular rafts with a constant velocity so as to reveal the mechanical properties of the multilayer granular *** resistance was quasi-static under the chosen *** were conducted with different granular thicknesses,rod diameters and combinations of particles and *** study shows that the resistance–displacement relation of the rod has three smooth *** the first stage,the resistance rapidly *** the second stage,the resistance curve maintained an almost constant *** the third stage,the resistance smoothly changed with its slope continuously *** on the corresponding physical models for each stage,the study reveals the exponential dependence of the load-bearing capacity of the multilayer granular raft on its thickness,and clarifies the capillary effects on the resistance *** study extends the knowledge of the granular raft from monolayer to multilayer structure.
WE are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish.[1]–[3].In this new epoch,the collaboration of data and knowledge,humans and machines,actual and virtual worlds is undergoin...
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WE are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish.[1]–[3].In this new epoch,the collaboration of data and knowledge,humans and machines,actual and virtual worlds is undergoing an unprecedented diversification and community-driven transformation,unveiling an open future full of boundless ***,the value of dispersed data extends far beyond passive storage and application.
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