With the development and utilization of natural resources,geological hazards have posed a great threat to people's life and property *** is of great significance to realize the design of distributed geological dis...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
With the development and utilization of natural resources,geological hazards have posed a great threat to people's life and property *** is of great significance to realize the design of distributed geological disaster monitoring experimental system aimed at a series of problems,such as ecological environmental damage and major natural ***,this paper conducts the system requirements analysis based on the Three Gorges area as an ***,the system architecture and function is designed,and the system hardware configuration and application software design are carried ***,geological hazards intelligent monitoring system is developed and has been verified in Zigui-Badong region of the Three Gorges,which can effectively improve the information utilization rate and monitoring efficiency in the process of geological hazards *** results show that the system works well and can effectively monitor the occurrence of geolo gical hazards.
Particle Detection plays important roles in industrial and medical image ***-learning based methods can only deal with the particle images with simple backgrounds and sparse *** most neural network based methods can a...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Particle Detection plays important roles in industrial and medical image ***-learning based methods can only deal with the particle images with simple backgrounds and sparse *** most neural network based methods can also hardly to deal with overlapping objects and small particles,besides,the huge amount of parameters of these methods also has a great demand for annotated data,which is difficult to ***,we use bright pixels to represent the spatial position of particles,and artificially divid the sizes of particles into multiple intervals.A feature representation called Light-spots Maps is proposed to replace the bounding box and pixel classifications in our detection *** Light-weight networks based on ResNets is used to transform the particle images into Light-spots maps to detect the particle *** experiments,we prove the effectiveness of our method.
The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional(LKF) with the triple integral term and the delay-product-type...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional(LKF) with the triple integral term and the delay-product-type term is ***,a generalized reciprocally convex matrix inequality is employed to deal with the derivative of the *** that,by utilizing the relaxed quadratic function negative-definiteness determination method to dispose of the time derivative of the delay-product-type term,a less conservative state estimation criterion is ***,the effectiveness of the proposed method is shown through a numerical example.
This paper takes the iron-making blast furnace in operation of a steel plant as the specific object,analyzes the erosion status and characteristics of different parts of the furnace hearth and bottom combined with iro...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper takes the iron-making blast furnace in operation of a steel plant as the specific object,analyzes the erosion status and characteristics of different parts of the furnace hearth and bottom combined with iron-making process and erosion mechanism of the blast furnace,designs an intelligent monitoring system for erosion of the furnace hearth lining,visualizes the temperature measurement *** erosion calculation model is established by using the heat transfer mechanism to quickly solve the erosion boundary for the area with low erosion degree and rate,and performs a fast solution of the erosion *** areas with high erosion degree and rate,the particle swarm optimization algorithm is selected by using its adaptive *** solves the erosion boundary accurately from the rough solution of the mechanism model,and the residual thickness of furnace lining is output and displayed,which helps ironmakers optimize the blast furnace production operation,maintenance strategy,improve production efficiency and reduce energy consumption.
With the rapid development of urban subway system in recent years, the failure of subway traction network has become a research hotspot. In order to ensure the reliability of the subway power supply, better study the ...
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This work proposes a fully soft grasping device to perform complex tasks,which consists of the modularized soft grippers and the bi-directional bending soft *** the modularized soft gripper part,we adopt caps to seal ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This work proposes a fully soft grasping device to perform complex tasks,which consists of the modularized soft grippers and the bi-directional bending soft *** the modularized soft gripper part,we adopt caps to seal both ends of the gripper and connect the adjacent knuckles by *** modularized design not only makes the soft grippers like human fingers to achieve segmental bending,but also reduces the waste caused by local *** the soft holder part,we present a bidirectional bending method to automatically adjust the grasping space,and we also establish a mathematical model to describle the relationship between the soft holder's bending angle and the air ***,in order to evaluate the dynamic response and position accuracy of the grasping device,a PID controller is designed for the soft grasping device to track the step,sine,and square wave ***,the great grasping performance of the fully soft grasping device is verified by experiments.
To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the nu...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the number of network parameters and the accuracy of *** this paper,a non-parameter SimAM attention module that can extract 3 D features is employed in the ShufflenetV2 network to enhance the spatial features extraction ability of the network,and the shortcut branch is introduced in Bottleneck for information interaction and feature fusion between *** tests were carried out on the RaFD dataset,and the recognition accuracy reaches 98.04%,while the number of model parameters is only 1.4 M.
The dust distribution law acting at the top of a blast fumace(BF)is of great significance for understanding gas flow distribution and mitigating the negative influence of dust particles on the accuracy and service lif...
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The dust distribution law acting at the top of a blast fumace(BF)is of great significance for understanding gas flow distribution and mitigating the negative influence of dust particles on the accuracy and service life of detection *** harsh environment inside a BF makes it difficult to describe the dust *** paper adresses this problem by proposing a dust distribution k-Sε-u_(p)model based on interphase(gas-powder)*** proposed model is coupled with a k-Sεmodel(which describes gas flow movement)and a u_(p)model(which depicts dust movement).First,the kinetic energy equation and turbulent dissipation rate equation in the k-Sεmodel are established based on the modeling theory and single Green-function two scale direct interaction approximation(SGF-TSDIA)***,a dust particle mnovement u_(p)model is built based on a force analysis of the dust and Newton's laws of ***,a coupling factor that descibes the interphase interaction is proposed,and the k-Sε-u_(p)model,with clear physical *** mathematical logic,and adequate generality,is *** results and o-site verification show that the k-Sε-u_(p)model not only has high precision,but also reveals the aggregate distribution features of the dust,which are helpful in optimizing the installation position of the detection equipment and imnproving its accuracy and service life.
The blast furnace fuel ratio,as the main index reflecting the blast furnace fuel consumption,plays an important role in guiding blast furnace *** order to solve the problem of insufficient stability of the existing fu...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The blast furnace fuel ratio,as the main index reflecting the blast furnace fuel consumption,plays an important role in guiding blast furnace *** order to solve the problem of insufficient stability of the existing fuel ratio prediction model under the condition of process parameters fluctuation,a prediction method of blast furnace fuel ratio based on spectral clustering and extreme learning machine model is ***,on the basis of analyzing the influencing factors of fuel ratio,the classification results after clustering are visualized with t-SNE dimension reduction downscaling and spectral clustering method;Secondly,for the classification results after clustering,the extreme learning machine is used to establish the sub-models,and the PSO algorithm was used to optimize the input weights of hidden layer and the bias of hidden layer *** results show that the proposed method has high prediction accuracy.
In this paper,we study the leader-following consensus for multi-agent systems with long input time delay under jointly connected directed switching *** adopt an adaptive distributed observer that can make every agent ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,we study the leader-following consensus for multi-agent systems with long input time delay under jointly connected directed switching *** adopt an adaptive distributed observer that can make every agent estimate the information of the *** we propose a new controller utilizing the predictor feedback technique,and then map MAS s into ODE-PDE(Ordinary differntial equations-Partial differntial equations) target systems so that we can utilize Lyapunov-Krasovskii function to analyze the stability of the *** are used to vertify the results in the end.
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