Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial charac...
Since landslide is one of the most universal natural disasters in China,the study of regional landslide susceptibility evaluation is important to protect people's lives and *** paper analyzes the geospatial characteristics of the ZiguiBadong section in the Three *** Pearson correlation analysis methodselects,nine impact factors of landslide susceptibility are extracted from the aspects of topography and geomorphology,geological environment,and hydrological conditions,used to establish the evaluation index system of landslide *** the above data basis,the paper applies a support vector machine(SVM) model and an SVM model for gray wolf optimization(GWO) to the susceptibility evaluation of landslides,and product landslide susceptibility index maps according to the *** research area is divided into four regions by jenks method on the map:high-risk,medium-risk,low-risk,and very low-risk *** the accuracy,confusion matrix,and receiver operating characteristic(ROC) curve to evaluate the model,The prediction accuracy of the GWO-SVM model and the SVM model is 88.55 % and 82.82 % respectively,the comparison proves that the GWO-SVM model is much more accurate,which can provide a reference for the study of regional landslide susceptibility.
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ...
The surface defects of ceramic tile greatly affect the service life of ceramic *** present,many detection methods of ceramic tile surface defects are mostly used for ceramic tiles with monochrome background or simple ***,many tiles with complex and irregular surface patterns are used in practical applications,but many methods cannot effectively detect surface defects in such *** paper presents a double input feature difference network structure to overcome the ***,a double input channel is constructed to extract features from the template image and the defect image ***,a method of feature difference is performed at different depths to suppress the background interference and prevent misclassification between different defect *** a parameter-free attention module is embedded in the backbone to improve the ability of feature *** results show that this model effectively improves the mean average accuracy of 8.3%and the recall rate of 11.7%.
This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the inte...
This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the intercellular coupling delay,and the regulatory delay are considered in consideration in genetic oscillator networks. Then a state estimator is designed by solving a set of linear matrix inequalities that can be solved with existing software. Finally, The effectiveness of state estimation approach can then be demonstrated through a numerical example.
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack e...
The operations of blast furnaces(BFs) are very vital for the long-term stability of the iron making *** burden distribution and blast supply are the two major operation systems of *** present,the researches are lack effective adjustment methods for the BF operations combined with burden distribution and blast *** burden distribution affects the iron making process on a long time scale,while the blast supply afects the iron making process on a short time *** paper presents a multi-time sampling-data adjustment strategy for the BF operations aiming at optimizing *** multiple time ***,this paper analyzes the relationship between the gas utilization ratio(GUR) and the burden distribution,the blast supply on multiple time ***,this paper establishes a prediction model of *** the long time scale and the short time scale based on autoregressive integrated moving average(ARIMA).Next,this paper provides a control strategy of burden distribution and a control strategy of blast supply by a prediction model based on support vector regression(SVR).Finally,this paper makes experiments and applies this method in a real-world *** analysis of the results shows the control strategy of the BF operations provides a good guide on making a suitable decision for burden distribution and blast supply.
In the cement production process, the speed of grate coolers directly affects the residence time and cooling effect of cement clinker. Its effective control is of great significance to ensuring cement quality. But the...
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ISBN:
(数字)9798350368604
ISBN:
(纸本)9798350368611
In the cement production process, the speed of grate coolers directly affects the residence time and cooling effect of cement clinker. Its effective control is of great significance to ensuring cement quality. But the adjustment of grate speed is a complex process, involving moderate cooling air, uniform clinker thickness, regulated output and other constraints. In this study, an Auto-Regressive with exogenous input (ARX) grate cooler prediction model is developed using a data-driven approach based on a company's cement production line, a model predictive control (MPC) approach is employed for the purpose of optimising the speed of the grate cooler based on the ARX model. The results demonstrate that the method of MPC exhibits greater stability than the method of PID, and that MPC technology has good efficacy and superiority in the adjustment of grate speed.
Compared with separate solar or wind generation, the hybrid wind-solar-hydro renewable portfolio can achieve better generation characteristics due to their temporal-spatial complementarities. This paper proposes optim...
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This paper explores the finite-time synchronization of a class of discrete-time nonlinear singularly perturbed complex networks using a dynamic event-triggered mechanism(DETM). The DETM is designed to optimize packet ...
This paper explores the finite-time synchronization of a class of discrete-time nonlinear singularly perturbed complex networks using a dynamic event-triggered mechanism(DETM). The DETM is designed to optimize packet transmission, aiming to conserve network resources. By constructing a Lyapunov function considering singularly perturbed parameters(SPPs) and DETM information, a sufficient condition for the dynamics of synchronization error system to be finite-time stable is given. The parameters of the synchronization controller can be determined by solving a set of matrix inequalities. The effectiveness of the proposed controller is demonstrated through a numerical example.
A fault diagnosis method based on Discrete Hidden Markov Models is proposed in this paper to identify the fault causing alarm flood sequences. The proposed method consists of the following steps: First, the alarm floo...
A fault diagnosis method based on Discrete Hidden Markov Models is proposed in this paper to identify the fault causing alarm flood sequences. The proposed method consists of the following steps: First, the alarm flood data is pre-processed to ensure that all sequences are of uniform length, and a separate Discrete Hidden Markov model is trained for each fault to capture the relationship between the fault and the alarm sequences. Second, given an observation sequence, the log-likelihood probability values under different Discrete Hidden Markov models are calculated and the maximum probability is selected to determine the type of corresponding fault. Last, the feasibility of the proposed method is verified by simulation data obtained from a public industrial model. The results show that the method can effectively identify the faults that trigger alarm floods.
This paper presents an improved stability criterion and controller design scheme condition for a networked control system under denial of service(DoS) attack. Firstly, the DoS attack interval is divided into attack in...
This paper presents an improved stability criterion and controller design scheme condition for a networked control system under denial of service(DoS) attack. Firstly, the DoS attack interval is divided into attack interval and no attack interval, therefore, a switching-like event-triggered control can be established to reduce the waste of network resources and improve network efficiency. Then, the studied system is transformed into a time-delay system, and an improved stability criterion and controller design method are established by using Lyapunov-Krasovskii functional(LKF). Finally, the effectiveness of the proposed method is verified by a simulation example.
In this paper, the master-slave synchronization issue of chaotic Lur'e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into t...
In this paper, the master-slave synchronization issue of chaotic Lur'e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into the stability problem of chaotic synchronization error system, which is studied based on Lyapunov-Krasovskii functional(LKF) method. Secondly, a novel augmented LKF with more cross terms that related to time-varying delay is proposed. Based on the application of the relaxation integral inequality and the reciprocally convex matrix inequality, an improved synchronization criterion is derived by using the cubic function negative-determination lemma. Finally, a numerical simulation example demonstrates the effectiveness and advantages of the proposed methods.
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