Pub Date : 2018-05-01DOI: 10.1109/DDCLS.2018.8515914
Wei Wei, Pengfei Xia, Min Zuo
This paper concentrates on the active disturbance rejection control of a nanopositioner driven by a piezoelectric actuator. Hysteresis reduces the accuracy or even breaks the stability of a nanopositioner. For the purpose of improving the closed-loop performance of a nanopositioning stage, active disturbance rejection control (ADRC) is utilized. Fourth order extended state observer is designed to get system output, first and second derivative of system output, and the total disturbance. System performance can be guaranteed by compensating total disturbance via control law. Based on an identified model of a nanopositioning stage, simulations have been performed. Numerical results have been presented to confirm the ability of ADRC in high-precision positioning.
{"title":"On Disturbance Rejection of Piezo-actuated Nanopositioner","authors":"Wei Wei, Pengfei Xia, Min Zuo","doi":"10.1109/DDCLS.2018.8515914","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515914","url":null,"abstract":"This paper concentrates on the active disturbance rejection control of a nanopositioner driven by a piezoelectric actuator. Hysteresis reduces the accuracy or even breaks the stability of a nanopositioner. For the purpose of improving the closed-loop performance of a nanopositioning stage, active disturbance rejection control (ADRC) is utilized. Fourth order extended state observer is designed to get system output, first and second derivative of system output, and the total disturbance. System performance can be guaranteed by compensating total disturbance via control law. Based on an identified model of a nanopositioning stage, simulations have been performed. Numerical results have been presented to confirm the ability of ADRC in high-precision positioning.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"56 1","pages":"688-692"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86702371","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}
In order to improve the reliability of moving objects detection and tracking, this paper presents a method for moving object real-time detection and tracking based on Vibe and Gaussian mixture model (GMM). This method uses the "Virtual" background model that is trained by video sequence instead of the first frame image for background modeling. And then the foreground object is extracted based on the pixel classification. Finally, according to the morphological method, the clearer moving targets are conducted to realize the real-time detection and tracking. The experimental results show that, in comparison with the current mainstream background subtraction techniques, our approach effectively works on a wide range of complex scenarios, with faster detection speed and more reliable detection results.
{"title":"Moving Object Real-time Detection and Tracking Method Based on Improved Gaussian Mixture Model","authors":"Shanliang Zhu, Xin Gao, Haoyu Wang, Guangwei Xu, Qiuling Xie, Shuguo Yang","doi":"10.1109/DDCLS.2018.8515905","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515905","url":null,"abstract":"In order to improve the reliability of moving objects detection and tracking, this paper presents a method for moving object real-time detection and tracking based on Vibe and Gaussian mixture model (GMM). This method uses the \"Virtual\" background model that is trained by video sequence instead of the first frame image for background modeling. And then the foreground object is extracted based on the pixel classification. Finally, according to the morphological method, the clearer moving targets are conducted to realize the real-time detection and tracking. The experimental results show that, in comparison with the current mainstream background subtraction techniques, our approach effectively works on a wide range of complex scenarios, with faster detection speed and more reliable detection results.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"24 1","pages":"654-658"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86376903","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8516075
Jinbo Huang, Yiming Wu, Liping Chang, Xiongxiong He, Sheng Li
In this paper, we investigate the resilient consensus problem for the second-order multi-agent system communicating via switching networks. The term resilient means that the control protocols should consider the presence of attacks by some malicious agents. Assuming that the maximum number of malicious agents in the neighborhood of each agent is bounded and known, we propose a local neighbors’ information-based on distributed consensus protocol suitable for time-varying topologies to deal with the malicious attacks. It is shown that if the union of communication graphs over a bounded period satisfies certain network robustness property, the states of all normal agents can be guaranteed to reach an agreement resiliently. Numerical simulations are provided to illustrate the effectiveness of the theoretical results.
{"title":"Resilient Consensus with Switching Networks and Double-Integrator Agents","authors":"Jinbo Huang, Yiming Wu, Liping Chang, Xiongxiong He, Sheng Li","doi":"10.1109/DDCLS.2018.8516075","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516075","url":null,"abstract":"In this paper, we investigate the resilient consensus problem for the second-order multi-agent system communicating via switching networks. The term resilient means that the control protocols should consider the presence of attacks by some malicious agents. Assuming that the maximum number of malicious agents in the neighborhood of each agent is bounded and known, we propose a local neighbors’ information-based on distributed consensus protocol suitable for time-varying topologies to deal with the malicious attacks. It is shown that if the union of communication graphs over a bounded period satisfies certain network robustness property, the states of all normal agents can be guaranteed to reach an agreement resiliently. Numerical simulations are provided to illustrate the effectiveness of the theoretical results.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"61 1","pages":"802-807"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83693687","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8516079
Weiming Zhang, Dezhi Xu, X. Lou, Wenxu Yan, Weilin Yang
A novel adaptive control strategy based on input/output (I/O) data is proposed in this paper to solve the problem of power management of battery energy storage system (BESS). In the proposed control strategy, a time-varying parameter named pseudo-partial derivative (PPD) parameter utilized in dynamic linearization is estimated by an adaptive observer. Besides, the input saturation problem is considered and a compensation signal is added to consummate the anti-windup control algorithm. Finally, simulation results are presented to validate the effectiveness and performance of the proposed control strategy.
{"title":"Power Management of Battery Energy Storage System Using Model Free Adaptive Control","authors":"Weiming Zhang, Dezhi Xu, X. Lou, Wenxu Yan, Weilin Yang","doi":"10.1109/DDCLS.2018.8516079","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516079","url":null,"abstract":"A novel adaptive control strategy based on input/output (I/O) data is proposed in this paper to solve the problem of power management of battery energy storage system (BESS). In the proposed control strategy, a time-varying parameter named pseudo-partial derivative (PPD) parameter utilized in dynamic linearization is estimated by an adaptive observer. Besides, the input saturation problem is considered and a compensation signal is added to consummate the anti-windup control algorithm. Finally, simulation results are presented to validate the effectiveness and performance of the proposed control strategy.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"27 1","pages":"798-801"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88523392","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8515957
F. Zhu, Jiancheng Zhang, Fengning Wang, S. Guo
The problem of unknown input and measurement noise estimations for a class of switched Lipschitz nonlinear systems is investigated in this paper. An augmented state is used to construct a new descriptor system to deal with the measurement noise in output vector, and then the descriptor system does not contain measurement noise in form. The main results are for the constructed descriptor system, a new Lyapunov-type precondition is developed in detail to present a sliding mode observer, which can estimate both the original system states and unknown inputs simultaneously. And the sliding model term is introduced to deal with the system nonlinearity and the unknown input. Finally, a simulation example of an electric circuit system is considered to show the effectiveness of the proposed methods.
{"title":"Unknown Input and Measurement Noise Estimations for Switched Nonlinear Systems","authors":"F. Zhu, Jiancheng Zhang, Fengning Wang, S. Guo","doi":"10.1109/DDCLS.2018.8515957","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515957","url":null,"abstract":"The problem of unknown input and measurement noise estimations for a class of switched Lipschitz nonlinear systems is investigated in this paper. An augmented state is used to construct a new descriptor system to deal with the measurement noise in output vector, and then the descriptor system does not contain measurement noise in form. The main results are for the constructed descriptor system, a new Lyapunov-type precondition is developed in detail to present a sliding mode observer, which can estimate both the original system states and unknown inputs simultaneously. And the sliding model term is introduced to deal with the system nonlinearity and the unknown input. Finally, a simulation example of an electric circuit system is considered to show the effectiveness of the proposed methods.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"32 1","pages":"408-413"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77554505","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8515913
N. Li, Yujie Sun
In order to increase the accuracy of traffic simulation and better reproduce the real traffic condition at signalized intersections, this paper proposed a parameter calibration method based on the traffic distribution rules at signalized intersections. First, after qualitatively analyzing the traffic condition at signalized intersections based on dynamic traffic features, this paper selected the key parameters that need to be calibrated. Then, regarding the selected key parameters, this paper first designed and implemented the collecting method. Then filtered and analyzed the data, and acquired the distribution pattern of each key parameter at signalized intersection. Finally, in order to validate the calibration process based on vehicle types through simulation, this paper chose travel time and number of stops as validation parameters. The results showed that there had been a great increase in the accuracy after calibration. The maximum inaccuracy among all evaluation parameters was 14.6%, which indicated that the calibration process based on traffic characteristics distribution at signalized intersections was effective.
{"title":"VISSIM Parameter Calibration Based on Traffic Characteristics Distribution at Signalized Intersections","authors":"N. Li, Yujie Sun","doi":"10.1109/DDCLS.2018.8515913","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515913","url":null,"abstract":"In order to increase the accuracy of traffic simulation and better reproduce the real traffic condition at signalized intersections, this paper proposed a parameter calibration method based on the traffic distribution rules at signalized intersections. First, after qualitatively analyzing the traffic condition at signalized intersections based on dynamic traffic features, this paper selected the key parameters that need to be calibrated. Then, regarding the selected key parameters, this paper first designed and implemented the collecting method. Then filtered and analyzed the data, and acquired the distribution pattern of each key parameter at signalized intersection. Finally, in order to validate the calibration process based on vehicle types through simulation, this paper chose travel time and number of stops as validation parameters. The results showed that there had been a great increase in the accuracy after calibration. The maximum inaccuracy among all evaluation parameters was 14.6%, which indicated that the calibration process based on traffic characteristics distribution at signalized intersections was effective.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"97 1","pages":"150-153"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84826288","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8515973
Zhiqiang Geng, Ju Bai, Qunxiong Zhu, Yuan Xu, Yangming Han
Data envelopment analysis (DEA) has been commonly used in the energy saving of enterprise plants. Nevertheless, when the traditional DEA model analyzes the effectiveness of decision-making units (DMUs), over 1/3 of the DMUs’ efficiency values are 1, so the traditional DEA model cannot distinguish the cons and pros of the DMUs. And although the DEA cross-model(DEACM) is able to differentiate the cons as well as pros of the effective DMUs, it can’t obtain the improvement direction of the ineffective DMUs. Therefore, an energy saving and management method based on an improved DEACM, which can use the higher efficiency distinction to identify the efficiency state of the DMUs, is proposed in this paper. Meanwhile, the improvement direction of the ineffective DMU can be found by the self-evaluation of the improved DEACM. Finally, the improved DEACM is utilized to save and manage the energy configuration of the PTA solvent system in the industrial process. The experimental results reveal that the practicality and effectiveness of the proposed method are verified, and in addition, the efficiency discrimination is well. Moreover, the proposed model can find the direction of the quantitative targets of energy saving to improve the energy efficiency of PTA production.
{"title":"Energy Saving and Management of the Industrial Process Based on An Improved DEA Cross-model","authors":"Zhiqiang Geng, Ju Bai, Qunxiong Zhu, Yuan Xu, Yangming Han","doi":"10.1109/DDCLS.2018.8515973","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515973","url":null,"abstract":"Data envelopment analysis (DEA) has been commonly used in the energy saving of enterprise plants. Nevertheless, when the traditional DEA model analyzes the effectiveness of decision-making units (DMUs), over 1/3 of the DMUs’ efficiency values are 1, so the traditional DEA model cannot distinguish the cons and pros of the DMUs. And although the DEA cross-model(DEACM) is able to differentiate the cons as well as pros of the effective DMUs, it can’t obtain the improvement direction of the ineffective DMUs. Therefore, an energy saving and management method based on an improved DEACM, which can use the higher efficiency distinction to identify the efficiency state of the DMUs, is proposed in this paper. Meanwhile, the improvement direction of the ineffective DMU can be found by the self-evaluation of the improved DEACM. Finally, the improved DEACM is utilized to save and manage the energy configuration of the PTA solvent system in the industrial process. The experimental results reveal that the practicality and effectiveness of the proposed method are verified, and in addition, the efficiency discrimination is well. Moreover, the proposed model can find the direction of the quantitative targets of energy saving to improve the energy efficiency of PTA production.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"36 1","pages":"154-159"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85015178","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8516003
Jian Hou, Aihua Zhang, Lv Chengcong, E. Xu
Recently, a clustering algorithm is proposed by treating local density peaks as cluster centers. This algorithm proposes to describe the data to be clustered with local density and the distance of one data to the nearest data of larger local density. This description highlights the uniqueness of cluster centers and is utilized to determine cluster centers. With the assumption that one data and the nearest data of larger local density are in the same cluster, the non-center data are assigned labels efficiently. By studying the clustering process of this algorithm in depth, we find that the local density is not very effective in highlighting the uniqueness of cluster centers. As a result, this algorithm is dependent on the parameters in local density calculation. We discuss this problem and find that it is the role of density peaks, but not the absolute local density, that highlights the uniqueness of cluster centers. Based on this observation, we introduce the concept of subordinate and use the amount of subordinates to replace the local density in cluster center identification. Together with a new density kernel, this new criterion is shown to be effective in experiments and comparisons.
{"title":"Subordinate based Cluster Center Identification in Density Peak Clustering","authors":"Jian Hou, Aihua Zhang, Lv Chengcong, E. Xu","doi":"10.1109/DDCLS.2018.8516003","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516003","url":null,"abstract":"Recently, a clustering algorithm is proposed by treating local density peaks as cluster centers. This algorithm proposes to describe the data to be clustered with local density and the distance of one data to the nearest data of larger local density. This description highlights the uniqueness of cluster centers and is utilized to determine cluster centers. With the assumption that one data and the nearest data of larger local density are in the same cluster, the non-center data are assigned labels efficiently. By studying the clustering process of this algorithm in depth, we find that the local density is not very effective in highlighting the uniqueness of cluster centers. As a result, this algorithm is dependent on the parameters in local density calculation. We discuss this problem and find that it is the role of density peaks, but not the absolute local density, that highlights the uniqueness of cluster centers. Based on this observation, we introduce the concept of subordinate and use the amount of subordinates to replace the local density in cluster center identification. Together with a new density kernel, this new criterion is shown to be effective in experiments and comparisons.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"106 1","pages":"551-554"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88028363","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8516002
Danfeng Chen, Cong Wang, Wenbo Zhu
For nonlinear dynamical systems, structural stability is a fundamental concept. It provides a qualitative tool for analyzing the equivalent relation between a nonlinear dynamical system and its perturbed system. Currently, most researches about structural stability, including some applications in practical systems, are mainly limited to qualitative analysis. In this paper, our focus is on the quantitative property of structural stability. A new measure will be proposed from the perspective of structural stability and gap metric under the Deterministic Learning theory, which provides more incentives for further applications in pattern recognition, classification as well as fault detection. Simulation studies are included to further demonstrate the effectiveness of this measure.
{"title":"A New Measure of Dynamic Similarity for Nonlinear Systems based on Gap Metric and Deterministic Learning Theory","authors":"Danfeng Chen, Cong Wang, Wenbo Zhu","doi":"10.1109/DDCLS.2018.8516002","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516002","url":null,"abstract":"For nonlinear dynamical systems, structural stability is a fundamental concept. It provides a qualitative tool for analyzing the equivalent relation between a nonlinear dynamical system and its perturbed system. Currently, most researches about structural stability, including some applications in practical systems, are mainly limited to qualitative analysis. In this paper, our focus is on the quantitative property of structural stability. A new measure will be proposed from the perspective of structural stability and gap metric under the Deterministic Learning theory, which provides more incentives for further applications in pattern recognition, classification as well as fault detection. Simulation studies are included to further demonstrate the effectiveness of this measure.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"35 1","pages":"521-526"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88186049","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 : 2018-05-01DOI: 10.1109/DDCLS.2018.8515999
Zunshui Cheng, Tiansun Wang, Youming Xin
We deal with high-order distributed consensus protocols in multi agent networks. It is shown that the inner coupling strengths play a key role in reaching consensus for high-order systems. Scheme for choosing coupling strengths is derived for the third-order consensus and the fourth-order consensus. We found that high-order consensus can not be achieved even if inner coupling strengths are very large when they are selected incorrectly. The high-order consensus of complex networks are particularly targeted. This result helps investigate large scale multi-agent networks.
{"title":"High-Order Distributed Consensus in Multi-Agent Networks","authors":"Zunshui Cheng, Tiansun Wang, Youming Xin","doi":"10.1109/DDCLS.2018.8515999","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515999","url":null,"abstract":"We deal with high-order distributed consensus protocols in multi agent networks. It is shown that the inner coupling strengths play a key role in reaching consensus for high-order systems. Scheme for choosing coupling strengths is derived for the third-order consensus and the fourth-order consensus. We found that high-order consensus can not be achieved even if inner coupling strengths are very large when they are selected incorrectly. The high-order consensus of complex networks are particularly targeted. This result helps investigate large scale multi-agent networks.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"11 1","pages":"965-969"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88315341","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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