Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053907
Ningxian Sun, Zheng Chen, Changlei Ju, Y. Jin, Ye Cao, Zijing Wang, Yujun Guo, Song Xiao
Aiming at the electrochemical corrosion problem of bogie, this paper applies the digital twin technology that is rapidly developing and widely used, proposes to build a digital twin model, and establishes a fault monitoring and early warning system based on this. After clarifying the exact functions of the system, the difficulty of model construction and data processing is reduced through deep transfer learning and algorithms. After the digital twin model is built, various test is done to verify its function. Finally, the comparison between the measured data and the twin data verifies that the model is highly correlated with reality, and the fault monitoring and early warning function works normally.
{"title":"The Application of Digital-Twin in Bogie Fault Monitoring and Early Warning","authors":"Ningxian Sun, Zheng Chen, Changlei Ju, Y. Jin, Ye Cao, Zijing Wang, Yujun Guo, Song Xiao","doi":"10.1109/ICCR55715.2022.10053907","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053907","url":null,"abstract":"Aiming at the electrochemical corrosion problem of bogie, this paper applies the digital twin technology that is rapidly developing and widely used, proposes to build a digital twin model, and establishes a fault monitoring and early warning system based on this. After clarifying the exact functions of the system, the difficulty of model construction and data processing is reduced through deep transfer learning and algorithms. After the digital twin model is built, various test is done to verify its function. Finally, the comparison between the measured data and the twin data verifies that the model is highly correlated with reality, and the fault monitoring and early warning function works normally.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053886
Wanmin Wu, Huawei Su, Zeen Gou
A visual servo control algorithm based on back propagation (BP) neural network and genetic algorithm is proposed for the problem of slow recognition speed and low accuracy of visual servo control. The algorithm models the robot and image complex Jacobi matrix to get the initial BP neural network visual servo controller, and then uses genetic algorithm to train the initial weights and thresholds of the controller to finally obtain the hybrid optimized visual control model, which can effectively combine the good global search ability of genetic algorithm with the accurate local search function of BP neural network. The experimental results show that the convergence speed is accelerated while the error is reduced to 4.6% of the original one, which provides a simple and effective method for robot control.
{"title":"Research on Precision Motion Control of Micro-motion Platform Based on Uncalibrated Visual Servo","authors":"Wanmin Wu, Huawei Su, Zeen Gou","doi":"10.1109/ICCR55715.2022.10053886","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053886","url":null,"abstract":"A visual servo control algorithm based on back propagation (BP) neural network and genetic algorithm is proposed for the problem of slow recognition speed and low accuracy of visual servo control. The algorithm models the robot and image complex Jacobi matrix to get the initial BP neural network visual servo controller, and then uses genetic algorithm to train the initial weights and thresholds of the controller to finally obtain the hybrid optimized visual control model, which can effectively combine the good global search ability of genetic algorithm with the accurate local search function of BP neural network. The experimental results show that the convergence speed is accelerated while the error is reduced to 4.6% of the original one, which provides a simple and effective method for robot control.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121767982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Studying the physiological behavior of fish school starvation and dynamically adjusting the feeding scheme based on the starvation features of fish school can help promote the unmanned and intelligent process of offshore aquaculture. The current starvation algorithms trained based on breeding data from terrestrial pools and ponds are largely limited by the differences in environmental conditions and are therefore difficult to be applied to real marine aquaculture environments. In this paper, a deep attention model based on a dual-stream network (DADSN) was used to analyze the starvation behaviors of fish school and to grade them into five starvation levels. First, we collected the golden pompano aquaculture videos on a farming vessel and extracted optical flow images from the original videos to create a dual-stream dataset for golden pompano starvation analysis. Next, considering the characteristics of camera imaging in the marine environment, we used DADSN to extract fish behavioral features in the spatial domain and the optical domain, respectively, and fused the heterogeneous features by LSTM to enrich behavioral information without additional equipment. Finally, we conducted detailed control tests and qualitative and quantitative analyses, and the model obtained an accuracy of 83.43%, which is significantly higher than other mainstream models. Further tests were conducted on farmed workboats to confirm that the model can be applied to the vessel aquaculture environment of golden pompano.
{"title":"A Deep Transformer Model-Based Analysis of Fish School Starvation Degree in Marine Farming Vessels","authors":"Kaijian Zheng, Renyou Yang, Rifu Li, Liang Yang, Hao Qin, Mingyuan Sun","doi":"10.1109/ICCR55715.2022.10053891","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053891","url":null,"abstract":"Studying the physiological behavior of fish school starvation and dynamically adjusting the feeding scheme based on the starvation features of fish school can help promote the unmanned and intelligent process of offshore aquaculture. The current starvation algorithms trained based on breeding data from terrestrial pools and ponds are largely limited by the differences in environmental conditions and are therefore difficult to be applied to real marine aquaculture environments. In this paper, a deep attention model based on a dual-stream network (DADSN) was used to analyze the starvation behaviors of fish school and to grade them into five starvation levels. First, we collected the golden pompano aquaculture videos on a farming vessel and extracted optical flow images from the original videos to create a dual-stream dataset for golden pompano starvation analysis. Next, considering the characteristics of camera imaging in the marine environment, we used DADSN to extract fish behavioral features in the spatial domain and the optical domain, respectively, and fused the heterogeneous features by LSTM to enrich behavioral information without additional equipment. Finally, we conducted detailed control tests and qualitative and quantitative analyses, and the model obtained an accuracy of 83.43%, which is significantly higher than other mainstream models. Further tests were conducted on farmed workboats to confirm that the model can be applied to the vessel aquaculture environment of golden pompano.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"40 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120911488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053923
Yujia Huang, Shiguo Peng, Yang Liu
To avoid the actuator saturation caused by communication limitation in practical applications, based on the impulsive control strategy constrained by saturation characteristics, in this paper, we study the mean-square bipartite consensus for a class of leader-following multi-agent systems with randomly occurring uncertainties and randomly occurring nonlinearities. By using the Lyapunov stability theory, convex hull theory and algebraic graph theory, some sufficiency conditions for multi-agent systems to achieve mean-square bipartite consensus are given. Finally, a numerical simulation is provided to verify the effectiveness results.
{"title":"Mean-Square Bipartite Consensus of Multi-agent Systems with Saturation Constraint via Impulsive Control","authors":"Yujia Huang, Shiguo Peng, Yang Liu","doi":"10.1109/ICCR55715.2022.10053923","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053923","url":null,"abstract":"To avoid the actuator saturation caused by communication limitation in practical applications, based on the impulsive control strategy constrained by saturation characteristics, in this paper, we study the mean-square bipartite consensus for a class of leader-following multi-agent systems with randomly occurring uncertainties and randomly occurring nonlinearities. By using the Lyapunov stability theory, convex hull theory and algebraic graph theory, some sufficiency conditions for multi-agent systems to achieve mean-square bipartite consensus are given. Finally, a numerical simulation is provided to verify the effectiveness results.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128598591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053896
Yiyang Li, K. Sun, Zekai Han
Vision technology is growing vigorously, but underwater vision remains challenges and problems, which is a field with application value and development prospects. The visual information obtained underwater is often color-biased and blurred, and it is highly susceptible to the influence of the surrounding environment and its stability cannot be controlled. Therefore, the current research and applications of vision technologies in underwater vision provide ways to solve the described problems, including image processing, target detection and recognition, localization and tracking technologies. The purpose of this review is to summarize the development of underwater vision technology and the results achieved. The mainstream underwater vision technologies are classified according to the different theories or algorithms used, and the current new research progress in each field is introduced in detail. By summarizing and analyzing the above research results, the application of each key technology of underwater vision is sorted out, and its further development direction is foreseen.
{"title":"Vision Technology in Underwater: Applications, Challenges and Perspectives","authors":"Yiyang Li, K. Sun, Zekai Han","doi":"10.1109/ICCR55715.2022.10053896","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053896","url":null,"abstract":"Vision technology is growing vigorously, but underwater vision remains challenges and problems, which is a field with application value and development prospects. The visual information obtained underwater is often color-biased and blurred, and it is highly susceptible to the influence of the surrounding environment and its stability cannot be controlled. Therefore, the current research and applications of vision technologies in underwater vision provide ways to solve the described problems, including image processing, target detection and recognition, localization and tracking technologies. The purpose of this review is to summarize the development of underwater vision technology and the results achieved. The mainstream underwater vision technologies are classified according to the different theories or algorithms used, and the current new research progress in each field is introduced in detail. By summarizing and analyzing the above research results, the application of each key technology of underwater vision is sorted out, and its further development direction is foreseen.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128373885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053930
Yuting Zhu, Liang Cao, Yi Qin, Pengxiang Zhang
The finite-time funnel control problem is addressed for stochastic nonlinear systems with actuator faults. In the case of stochastic disturbance and actuator faults, a funnel function is designed to reduce the overshoot of the system and improve the tracking performance of system, where the tracking error reaches the desired accuracy. An adaptive finite-time controller compensates the effect of the actuator fault. A second-order tracking differentiator is adopted to address the “complexity explosion” issue caused by the repeated differentiations of the virtual controller. By applying the Lyapunov stability method, the stabilization of the closed-loop systems can be pledged. Finally, simulation results are given to prove the effectiveness of the proposed algorithm.
{"title":"Adaptive Finite-Time Funnel Control for Stochastic Nonlinear Systems with Actuator Faults","authors":"Yuting Zhu, Liang Cao, Yi Qin, Pengxiang Zhang","doi":"10.1109/ICCR55715.2022.10053930","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053930","url":null,"abstract":"The finite-time funnel control problem is addressed for stochastic nonlinear systems with actuator faults. In the case of stochastic disturbance and actuator faults, a funnel function is designed to reduce the overshoot of the system and improve the tracking performance of system, where the tracking error reaches the desired accuracy. An adaptive finite-time controller compensates the effect of the actuator fault. A second-order tracking differentiator is adopted to address the “complexity explosion” issue caused by the repeated differentiations of the virtual controller. By applying the Lyapunov stability method, the stabilization of the closed-loop systems can be pledged. Finally, simulation results are given to prove the effectiveness of the proposed algorithm.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129527650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053922
Yajun Gao, G. Duan
The problem of robust pole assignment for the uncertain high-order system is formulated. On the strength of a previous eigenstructure assignment result for the high-order system, by introducing the sensitivity of uncertain parameters in the system model to the closed-loop poles, the parametric expression of the state feedback gain matrix to the problem of robust pole assignment is obtained. The robust optimal solution can be derived by a simple independent optimization algorithm. The closed-loop poles can be fixed or chosen within certain desired regions on the complex plane, which further improves the robustness. The example illustrates robust state feedback controller obtained by the proposed algorithm has better robustness.
{"title":"Robust Pole Assignment via State Feedback for Uncertain High-order System","authors":"Yajun Gao, G. Duan","doi":"10.1109/ICCR55715.2022.10053922","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053922","url":null,"abstract":"The problem of robust pole assignment for the uncertain high-order system is formulated. On the strength of a previous eigenstructure assignment result for the high-order system, by introducing the sensitivity of uncertain parameters in the system model to the closed-loop poles, the parametric expression of the state feedback gain matrix to the problem of robust pole assignment is obtained. The robust optimal solution can be derived by a simple independent optimization algorithm. The closed-loop poles can be fixed or chosen within certain desired regions on the complex plane, which further improves the robustness. The example illustrates robust state feedback controller obtained by the proposed algorithm has better robustness.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129584341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053917
Jing Zhang, Wenwen Kang
This paper addresses the problem of observer design for a reaction-diffusion equation with delayed boundary measurement. The predictor method is employed for the delay compensation. The reaction coefficient of the plant is considered, which may lead to the instability. To obtain the stability result, the backstepping transformation is introduced to determine the observer gains. Linear matrix inequalities (LMIs) conditions are derived to guarantee the exponential stability of the error system. The numerical simulation is provided to validate the proposed results.
{"title":"Observer Design for a Reaction-Diffusion Equation with Delayed Boundary Measurement","authors":"Jing Zhang, Wenwen Kang","doi":"10.1109/ICCR55715.2022.10053917","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053917","url":null,"abstract":"This paper addresses the problem of observer design for a reaction-diffusion equation with delayed boundary measurement. The predictor method is employed for the delay compensation. The reaction coefficient of the plant is considered, which may lead to the instability. To obtain the stability result, the backstepping transformation is introduced to determine the observer gains. Linear matrix inequalities (LMIs) conditions are derived to guarantee the exponential stability of the error system. The numerical simulation is provided to validate the proposed results.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128252549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053854
Yang Liu, Jiajun Zhang, W. Liao
Wearable lower limb rehabilitation exoskeleton robots play a positive role in lower limb rehabilitation training and assistance walking for patients with lower limb disorders. Firstly, the 3 degrees of freedom link-based dynamic model with friction is established by the Lagrange method. Secondly, a parameter identification experiment is designed based on a lower limb exoskeleton prototype. It contains three parts: static experiment of discrete controlled by specified position, dynamic experiment of uniform speed motion controlled by linear excitations, and dynamic experiment of continuous motion controlled by sinusoidal excitations. During the process of experiment, several terms in joint output torque expression are set to zero for simplicity of calculation, and leave the parameters to be identified. Furthermore, based on the acquired actuator torque data, nine parameters are identified by plotting and curves fitting with the least square method, including inertial parameters, static friction and Coulomb viscous friction. Finally, the parameter identification results are verified through comparing the torque measured by experiment and estimated by model.
{"title":"Dynamic Modeling and Identification of Wearable Lower Limb Rehabilitation Exoskeleton Robots","authors":"Yang Liu, Jiajun Zhang, W. Liao","doi":"10.1109/ICCR55715.2022.10053854","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053854","url":null,"abstract":"Wearable lower limb rehabilitation exoskeleton robots play a positive role in lower limb rehabilitation training and assistance walking for patients with lower limb disorders. Firstly, the 3 degrees of freedom link-based dynamic model with friction is established by the Lagrange method. Secondly, a parameter identification experiment is designed based on a lower limb exoskeleton prototype. It contains three parts: static experiment of discrete controlled by specified position, dynamic experiment of uniform speed motion controlled by linear excitations, and dynamic experiment of continuous motion controlled by sinusoidal excitations. During the process of experiment, several terms in joint output torque expression are set to zero for simplicity of calculation, and leave the parameters to be identified. Furthermore, based on the acquired actuator torque data, nine parameters are identified by plotting and curves fitting with the least square method, including inertial parameters, static friction and Coulomb viscous friction. Finally, the parameter identification results are verified through comparing the torque measured by experiment and estimated by model.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/ICCR55715.2022.10053890
Jiangfeng Liu, Yongbin Guo, Jinbiao Chen, Zixu Wang, Aihua Mao
We propose a cross-lingual TTS model based on the neural network. The model is capable of synthesizing speech across languages and translating the speaker's timbre. It uses a few seconds of untranscribed reference audio of the target speaker to synthesize the new speech of that speaker. The model consists of a separate speaker encoder, STT Translator, synthesizer, and vocoder. We decouple speaker information and speech to build a speaker recognition network. Our synthesizer is mainly built based on the Tacotron model and is divided into three parts: encoder, attention mechanism and decoder. The vocoder, on the other hand, is based on two methods, WaveRNN and HiFi-GAN, and serves to predict the synthesized waveform using the Mel spectrum. We conducted experiments to analyze the effectiveness of our approach. Besides, we also analyzed the effect of different datasets on the training effect.
{"title":"Speech Synthesis for Speaker Timbre Translation Across Languages","authors":"Jiangfeng Liu, Yongbin Guo, Jinbiao Chen, Zixu Wang, Aihua Mao","doi":"10.1109/ICCR55715.2022.10053890","DOIUrl":"https://doi.org/10.1109/ICCR55715.2022.10053890","url":null,"abstract":"We propose a cross-lingual TTS model based on the neural network. The model is capable of synthesizing speech across languages and translating the speaker's timbre. It uses a few seconds of untranscribed reference audio of the target speaker to synthesize the new speech of that speaker. The model consists of a separate speaker encoder, STT Translator, synthesizer, and vocoder. We decouple speaker information and speech to build a speaker recognition network. Our synthesizer is mainly built based on the Tacotron model and is divided into three parts: encoder, attention mechanism and decoder. The vocoder, on the other hand, is based on two methods, WaveRNN and HiFi-GAN, and serves to predict the synthesized waveform using the Mel spectrum. We conducted experiments to analyze the effectiveness of our approach. Besides, we also analyzed the effect of different datasets on the training effect.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123388826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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