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%.
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 ...
Live-maintaining work is essential for continuous power supply to the *** improve the safety and efficiency of live-maintaining work,this paper proposes an equipotential live-maintaining robot system suitable for 110 kV voltage *** the narrow space,complex working conditions and strong electromagnetic interference in substations,binocular vision technology,manipulator trajectory planning algorithm based on timeenergy optimization,high voltage electromagnetic shielding technology are utilized to develop the system,and the live-maintaining robot is successfully applied in actual *** accurately identifying and locating the joint bolts and insulator,the robot system can achieve equipotential live-disassemble,live-assemble the joint bolts within18 minutes and live-clean insulator within 5 minutes,demonstrating its the effectiveness and practicability.
Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving a...
Landslide displacement prediction is an important and indispensable part of landslide monitoring and *** change of the displacement is always considered being related to inducing factors,which are aimed at improving accuracy of the predicted ***,the seasonal characteristic of the displacement,which has not been carefully analyzed,reveals the law of inducing *** order to gain a deeper understanding of characteristics,the Baijiabao landslide is taken as an *** variational mode decomposition(VMD) method,which can extract effective information well,is introduced to decompose the *** the seasonal parameters,the seasonal autoregressive integrated moving average(SARIMA) model is established to predict the displacement ***,accumulative displacement prediction values are obtained by superimposing the predicted *** higher accuracy and lower error,the VMD-SARIMA model proves a better option in application compared with VMD-ARIMA,SARIMA and ARIMA models.
In response to the national dual carbon policy,carbon capture,utilization and storage(CCUS) are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transm...
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In response to the national dual carbon policy,carbon capture,utilization and storage(CCUS) are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transmission network and natural gas network are coupled via conversion and storage devices in the energy *** CCUS planning is formulated based on a source-sink matching method to analyze the CO capture points,CO storage points and CO transportation ***,the original CCUS planning problem is reformulated as a mixed integer second order cone programming(MISOCP) and subsequently solved to guarantee a satisfactory convergence *** studies on an urban multienergy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme.
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, t...
Deep-sea unmanned exploration equipment is an important tool for exploring and developing the resources in the ocean, and it can survey the deep-sea environment more visually with the help of visual images. However, the complex and variable environment and the low resolution of the underwater lens lead to the poor resolution of the images acquired by the equipment. In this paper, we propose a residual-dense connected method applied to unmanned deep-sea exploration equipment to improve it's image resolution. The method uses dense connections within the residual structure to improve the model detail information acquisition to ensure accuracy and model stability of ***, through the study of the model performance, a high precision residual-dense connected model with less computational effort is designed. Finally, the model is trained and tested using environmental images in deep-sea conditions, and it is demonstrated that the method can be applied to deep-sea unmanned exploration equipment for fast, accurate, and stable image super-resolution processing.
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of...
At present, most research on the coverage of multi-agent systems is based on Euclidean distance. This does not consider the existence of obstacles and has great limitations in the application. In this paper, a kind of coverage control problem based on high-order geodesic Voronoi partition is practically investigated. It allows multiple agents to monitor an area with obstacles to achieve the monitoring of the overall environment. As a result, the geodesic distance is introduced as a metric *** on the geodesic distance, point-by-point scanning on the layer is taken to achieve high-order Voronoi diagram *** coverage algorithm can be implemented in a distributed manner through the exchange of location information with each other, and the Lloyd algorithm is added to realize the movement of the sensor toward the optimal position.
To solve the problem of low performance of network intrusion detection,a deep learning intrusion detection model based on space-time fusion features and attention mechanism—CLT-net is *** this model,space-time fusion...
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ISBN:
(纸本)9781665431293
To solve the problem of low performance of network intrusion detection,a deep learning intrusion detection model based on space-time fusion features and attention mechanism—CLT-net is *** this model,space-time fusion features are obtained by integrating convolutional neural network and long short-time memory network,and attention module is added to calculate the importance of the input features,and softmax function is used for *** a large number of simulation experiments on NSL-KDD data sets,CLT-net has significantly improved the convergence of the training set and the accuracy of the test *** with the traditional CNN model with similar structure and the space-time fusion CLSTM the accuracy of the model increased by 11.8% and 10.9%*** shows that this model has great potential in the application field of network intrusion detection.
A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply,high power density,high efficiency was propos *** paper use two controllers to c...
A high-reliability constant current to constant voltage power supply system has the advantages of small volume of switching power supply,high power density,high efficiency was propos *** paper use two controllers to control the shunt regulator (SR) circuit and single-end flyback converter part,and separate the two parts for small signal modeling and give the parameters to stabilize the closed *** state space average modeling idea was used to solve the state equ ations for th e modes of the converters in a switching *** order to ensure the stability of cascade system,this paper collaborative optimization of hardware filter parameters and the appropriate PI parameter *** experimentals verify the correctness of our theory,and the system has good stability under closed-loop conditions.
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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