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%.
Prompt detection of bit bounce can prevent serious incidents and is of great importance for safe and efficient deep geological drilling. In the early stage of bit bounce, signal changes are relatively weak. In additio...
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This paper is concerned with the stability of discrete-time networked controlsystems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, ...
This paper is concerned with the stability of discrete-time networked controlsystems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, and the data packet dropout is converted into the change rate of time delay. Secondly, the functional of time delay and change rate of time delay is constructed,and some summation terms are generated when calculating the functional forward difference. Moreover, the auxiliary-functionbased summation inequality and reciprocally convex matrix inequality are used to estimate the resulting summation terms. Then,a less conservative stability criterion for discrete networked systems with network delay and data packet loss is ***, the validity of the proposed stability criterion is illustrated by a numerical example.
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.
Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact forces holds significance for new sens...
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ISBN:
(数字)9798350377705
ISBN:
(纸本)9798350377712
Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact forces holds significance for new sensors and existing tactile sensors which may have incurred damage or aging. However, the conventional neural-network-based force calibration method necessitates a large volume of force-labeled tactile images to minimize force prediction errors, with the need for accurate Force/Torque measurement tools as well as a time-consuming data collection process. To address this challenge, we propose a novel deep domain-adaptation force calibration method, designed to transfer the force prediction ability from a calibrated optical tactile sensor to uncalibrated ones with various combinations of domain gaps, including marker presence, illumination condition, and elastomer modulus. Experimental results show the effectiveness of the proposed unsupervised force calibration method, with lowest force prediction errors of 0.102N (3.4% in full force range) for normal force, and 0.095N (6.3%) and 0.062N (4.1%) for shear forces along the x-axis and y-axis, respectively. This study presents a promising, general force calibration methodology for optical tactile sensors.
Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification meth...
Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification method based on improved *** deep convolution neural network and jump connection method is used for end-toend semantic segmentation to achieve deep feature extraction and fusion of different receptive fields,thus enriching feature *** modules are adopted to enhance the ability of the model to extract important features,so as to further improve the accuracy of model *** experiments show that our improved U-Net achieves better performance than the original algorithm on our landslide *** results of lou are improved by 4.12% which demonstrates our work is of great significance for the research of landslide area ***,the model is deployed to the web and applied to the geological hazard intelligent monitoring system to realize the landslide identification task.
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 article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A nove...
In this article, we pay attention to event-based model predictive control(MPC) for load frequency control of multiarea power system. Considering the practical issues, the inputs are subject to hard constraints. A novel dynamic event-triggered mechanism(DETM) which contains an additive internal dynamic variable and an adjusting variable is designed to reduce data transmission burden. The MPC problem is expressed as a "min-max" optimisation problem. By considering the effects of load disturbances and the DETM, we give the design approach for the controller which integrates H2 and H∞ performance indexes through an auxiliary optimization problem. A simulation example is provided to verify the effectiveness of the proposed algorithm.
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