Pub Date : 2018-05-01DOI: 10.1109/DDCLS.2018.8515943
Jiyuan Tan, Luxi Dong, Jian Gao, W. Guo, Z. Li
With the rapid development of urbanization in China, the problem of traffic congestion is mainly due to the rapid increase in traffic demand. Compared with a variety of travel behaviors and origin-destination spatiotemporal distribution, which is helpful for us to explore the cause of traffic congestion. Traditionally, travel surveys are time consuming and huge economic investment. The accuracy of the results were existed large errors. In recent years, data acquisition techniques and storage capabilities are developed rapidly, more and more human travel related data have been collected. These "Big Data" is brought both opportunities and challenges for extracting valid travel information. In this paper, the different trajectories of travel mode are match with traffic analysis zones through using geography information system. And then stay points are identified by clustering spatiotemporal characteristics of trajectories. Moreover, the OD matrix is established by different stay regions. The indices of travel and OD desire lines are chosen to analyze travel behaviors. Meanwhile, the OD volume distribution in rush hours are used to explain traffic demand in different urban area. The findings could be helped government make the appropriate decision of urban traffic system and made residents the better daily travel planning, which has significant reference value.
{"title":"The Methods of Extracting Spatiotemporal Characteristics of Travel Based on Mobile Phone data","authors":"Jiyuan Tan, Luxi Dong, Jian Gao, W. Guo, Z. Li","doi":"10.1109/DDCLS.2018.8515943","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515943","url":null,"abstract":"With the rapid development of urbanization in China, the problem of traffic congestion is mainly due to the rapid increase in traffic demand. Compared with a variety of travel behaviors and origin-destination spatiotemporal distribution, which is helpful for us to explore the cause of traffic congestion. Traditionally, travel surveys are time consuming and huge economic investment. The accuracy of the results were existed large errors. In recent years, data acquisition techniques and storage capabilities are developed rapidly, more and more human travel related data have been collected. These \"Big Data\" is brought both opportunities and challenges for extracting valid travel information. In this paper, the different trajectories of travel mode are match with traffic analysis zones through using geography information system. And then stay points are identified by clustering spatiotemporal characteristics of trajectories. Moreover, the OD matrix is established by different stay regions. The indices of travel and OD desire lines are chosen to analyze travel behaviors. Meanwhile, the OD volume distribution in rush hours are used to explain traffic demand in different urban area. The findings could be helped government make the appropriate decision of urban traffic system and made residents the better daily travel planning, which has significant reference value.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"63 1","pages":"1174-1179"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85497449","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.2018.8515950
Xinxin Liu, Feng Hu, Xiaojie Su
This paper concerns the sliding mode control problems for a class of nonlinear systems, named repeated scalar nonlinear systems, with a pre-scribed performance. Firstly, observer based on event-triggered scheme is constructed to well estimate the system states. Corresponding sliding mode dynamics is obtained. Then, sliding mode controller is designed to keep that the closed-loop system trajectories to reach the pre-specified sliding region in finite time. Finally, sufficient conditions of sliding mode dynamics and error dynamics to be stochastic stable with a pre-scribed performance are provided.
{"title":"Sliding Mode Control of A Class of Nonlinear Systems","authors":"Xinxin Liu, Feng Hu, Xiaojie Su","doi":"10.1109/DDCLS.2018.8515950","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515950","url":null,"abstract":"This paper concerns the sliding mode control problems for a class of nonlinear systems, named repeated scalar nonlinear systems, with a pre-scribed performance. Firstly, observer based on event-triggered scheme is constructed to well estimate the system states. Corresponding sliding mode dynamics is obtained. Then, sliding mode controller is designed to keep that the closed-loop system trajectories to reach the pre-specified sliding region in finite time. Finally, sufficient conditions of sliding mode dynamics and error dynamics to be stochastic stable with a pre-scribed performance are provided.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"5 1","pages":"1069-1072"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85810044","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.2018.8515981
Zhentian Liu, Guangsen Wang, Zhiwei Wang
This paper is devoted to a high-precision tracking control strategy of permanent magnet synchronous linear motor (PMSLM). Firstly, the field-oriented control model of the PMSLM is established to calculate the electromagnetic thrust. To reconstruct the system states and reject the lump disturbance, a novel observer-based compensator is proposed, by taking the basic ideas of the frequency-domain disturbance observer and the time-domain one (the extended state observer in active disturbance rejection control, ADRC). A radial-basis-function neural network (RBFNN) controller with accurate approximation capability is utilized to tracking the desired motion trajectory. Contrasted to the RBFNN’s parameters self-evolved, a simple and unique parameters tuning method is derived to guarantee the compensator performance. All the proposed algorithms are implemented in a rapid control prototype (RCP) real-time simulation platform and the simulation and experiment results validate the rightness of theoretical analysis and the feasibility of the proposed methods.
{"title":"Tracking Control Strategy of PMSLM with A Novel Observer-based Compensator and A RBFNN-based Controller","authors":"Zhentian Liu, Guangsen Wang, Zhiwei Wang","doi":"10.1109/DDCLS.2018.8515981","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515981","url":null,"abstract":"This paper is devoted to a high-precision tracking control strategy of permanent magnet synchronous linear motor (PMSLM). Firstly, the field-oriented control model of the PMSLM is established to calculate the electromagnetic thrust. To reconstruct the system states and reject the lump disturbance, a novel observer-based compensator is proposed, by taking the basic ideas of the frequency-domain disturbance observer and the time-domain one (the extended state observer in active disturbance rejection control, ADRC). A radial-basis-function neural network (RBFNN) controller with accurate approximation capability is utilized to tracking the desired motion trajectory. Contrasted to the RBFNN’s parameters self-evolved, a simple and unique parameters tuning method is derived to guarantee the compensator performance. All the proposed algorithms are implemented in a rapid control prototype (RCP) real-time simulation platform and the simulation and experiment results validate the rightness of theoretical analysis and the feasibility of the proposed methods.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"10 1","pages":"996-1000"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84097278","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.2018.8515945
Dazhong Ma, Sen-Feng Lin, Qifu Cheng, Qiuye Sun
Three-stage solid state transformer adopts three independent control units, so when the system power changes, the regulation of DC bus voltage stabilization is important. A DC bus voltage control Strategy based on virtual inertia is proposed for AC/DC converter in this paper. On the basis of traditional voltage/current double closed-loop controller, the virtual inertia control loop and the DC current feed-forward loop are introduced. In order to effectively suppress the voltage fluctuation of the DC bus in the case of the fluctuation of the system power, the inertia of the DC bus is enhanced by adding virtual capacitance. In order to reduce the influence on the DC voltage caused by load current changing, the voltage stability of the DC bus is enhanced by adding the DC current feed-forward link. Single phase shift control of load current feed-forward is adopted for DAB, which decreases the fluctuation of the DC bus voltage and increases the dynamic response time of the DC bus voltage. Finally, the simulation results verify the effectiveness of the proposed control strategy.
{"title":"The DC Bus Voltage Control Based on Virtual Inertia for SST","authors":"Dazhong Ma, Sen-Feng Lin, Qifu Cheng, Qiuye Sun","doi":"10.1109/DDCLS.2018.8515945","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515945","url":null,"abstract":"Three-stage solid state transformer adopts three independent control units, so when the system power changes, the regulation of DC bus voltage stabilization is important. A DC bus voltage control Strategy based on virtual inertia is proposed for AC/DC converter in this paper. On the basis of traditional voltage/current double closed-loop controller, the virtual inertia control loop and the DC current feed-forward loop are introduced. In order to effectively suppress the voltage fluctuation of the DC bus in the case of the fluctuation of the system power, the inertia of the DC bus is enhanced by adding virtual capacitance. In order to reduce the influence on the DC voltage caused by load current changing, the voltage stability of the DC bus is enhanced by adding the DC current feed-forward link. Single phase shift control of load current feed-forward is adopted for DAB, which decreases the fluctuation of the DC bus voltage and increases the dynamic response time of the DC bus voltage. Finally, the simulation results verify the effectiveness of the proposed control strategy.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"134 1","pages":"575-580"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76747310","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.2018.8516097
Ruijie Liu, Ying Yang, Zhengen Zhao, Jing Zhou
This paper considers the fault detection problem for uncertain linear time-invariant systems. Based on the data-driven computational method for the gap metric, a fault detection scheme is designed by monitoring the gap metric between the running process and its nominal system with the direct use of offline and online data. Moreover, an alternative iterative realization of the stable image representation is proposed, based on which the gap metric is obtained and the fault detection is conducted with less calculation efforts. In addition, owing to the physical properties behind the gap metric, reliability analysis for systems with multiplicative faults is addressed. The numerical simulation examples are presented to demonstrate the effectiveness of the fault detection scheme.
{"title":"A Novel Scheme for Fault Detection Using Data-Driven Gap Metric Technique","authors":"Ruijie Liu, Ying Yang, Zhengen Zhao, Jing Zhou","doi":"10.1109/DDCLS.2018.8516097","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516097","url":null,"abstract":"This paper considers the fault detection problem for uncertain linear time-invariant systems. Based on the data-driven computational method for the gap metric, a fault detection scheme is designed by monitoring the gap metric between the running process and its nominal system with the direct use of offline and online data. Moreover, an alternative iterative realization of the stable image representation is proposed, based on which the gap metric is obtained and the fault detection is conducted with less calculation efforts. In addition, owing to the physical properties behind the gap metric, reliability analysis for systems with multiplicative faults is addressed. The numerical simulation examples are presented to demonstrate the effectiveness of the fault detection scheme.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"3 1","pages":"1207-1212"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82399232","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.2018.8515906
Li Ye, L. Jia
A multi-objective optimization based on improved K-means algorithm for thermal power plant operation is proposed in this paper. First, an improved K-means algorithm that aims at updating the method of selecting the clustering number and initial clustering center is applied to divide unit load and coal quality condition. Furthermore, a multi-objective optimization method is developed to realize the balance between the economic indicator and the environmental indicator, thus the corresponding optimal operation parameters of the two performance indicators for each condition can be obtained, which can effectively guide the power station operation. Lastly, taking the historical operation data of a 300MW unit as the experimental object, the simulation results show that the proposed multi-objective optimization based on improved K-means algorithm in this paper is effective and reasonable for the power station operation.
{"title":"Multi-objective Optimization for Thermal Power Plant Operation Based on Improved Working Condition","authors":"Li Ye, L. Jia","doi":"10.1109/DDCLS.2018.8515906","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515906","url":null,"abstract":"A multi-objective optimization based on improved K-means algorithm for thermal power plant operation is proposed in this paper. First, an improved K-means algorithm that aims at updating the method of selecting the clustering number and initial clustering center is applied to divide unit load and coal quality condition. Furthermore, a multi-objective optimization method is developed to realize the balance between the economic indicator and the environmental indicator, thus the corresponding optimal operation parameters of the two performance indicators for each condition can be obtained, which can effectively guide the power station operation. Lastly, taking the historical operation data of a 300MW unit as the experimental object, the simulation results show that the proposed multi-objective optimization based on improved K-means algorithm in this paper is effective and reasonable for the power station operation.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"59 1","pages":"502-507"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78667957","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.2018.8516085
Jia-bing Liu, Xinru Mao, Liangwei Huang, Zongcheng Li, Min Fan, Huan Chen, Libo Fan
Chongqing is located in southwest China, where the landform mainly consists of hills and mountains and there are broad sloping areas. In order to rapidly locate and isolate faults and facilitate inspection, a line fault location system suitable for Chongqing’s mountainous terrain was designed in this paper where the structure of the line fault location system was proposed, and the key technologies related to the core components of the system such as fault indicators and signal generators were described in details. This system uses fault indicators designed based on the signal injection method to realize fault line selection and fault section location for single-phase ground faults in the 10kV neutral ungrounded system. In this way, the misjudgments on load fluctuations and on-off inrushes by the fault indicator can be avoided effectively. The experimental results and practical application show that this line fault location system is applicable to the mountainous terrain in Chongqing, and it takes less time to find out and handle faults, thereby enhancing distribution automation.
{"title":"Research and Application of a Line Fault Location System in Chongqing","authors":"Jia-bing Liu, Xinru Mao, Liangwei Huang, Zongcheng Li, Min Fan, Huan Chen, Libo Fan","doi":"10.1109/DDCLS.2018.8516085","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516085","url":null,"abstract":"Chongqing is located in southwest China, where the landform mainly consists of hills and mountains and there are broad sloping areas. In order to rapidly locate and isolate faults and facilitate inspection, a line fault location system suitable for Chongqing’s mountainous terrain was designed in this paper where the structure of the line fault location system was proposed, and the key technologies related to the core components of the system such as fault indicators and signal generators were described in details. This system uses fault indicators designed based on the signal injection method to realize fault line selection and fault section location for single-phase ground faults in the 10kV neutral ungrounded system. In this way, the misjudgments on load fluctuations and on-off inrushes by the fault indicator can be avoided effectively. The experimental results and practical application show that this line fault location system is applicable to the mountainous terrain in Chongqing, and it takes less time to find out and handle faults, thereby enhancing distribution automation.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"44 1","pages":"1028-1032"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87882477","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.2018.8516040
Wenjie Zhao, Junmi Li, Naizheng Shi
In this paper, time-varying lag synchronization is proposed. Lag time is not fixed but time-varying because the channel delay is usually time varying. Moreover, this channel delay is unknown in this paper. Suitable controller is needed to achieve the lag synchronization between two networks in which every node is a dynamical system, and channel delay between them is unknown and time-varying. Lyapunov function is key theorem to derive sufficient condition. We give one simulation example to show the theory is true and can be applied effectively.
{"title":"Time-Varying Lag Synchronization of Complex Dynamical Networks with Unknown Channel Time-Delay","authors":"Wenjie Zhao, Junmi Li, Naizheng Shi","doi":"10.1109/DDCLS.2018.8516040","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516040","url":null,"abstract":"In this paper, time-varying lag synchronization is proposed. Lag time is not fixed but time-varying because the channel delay is usually time varying. Moreover, this channel delay is unknown in this paper. Suitable controller is needed to achieve the lag synchronization between two networks in which every node is a dynamical system, and channel delay between them is unknown and time-varying. Lyapunov function is key theorem to derive sufficient condition. We give one simulation example to show the theory is true and can be applied effectively.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"150 1","pages":"783-787"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87979084","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.2018.8515966
Yang Long, Yixin Su, Huajun Zhang, Ming Li
Lake patrol is an important part of lake water environment management and the path planning is the key problem to lake patrol. In order to solve this kind of path planning problem, an improved genetic algorithm is proposed. A new initial population method is proposed to create a better quality of the initial population, and the adaptive crossover probability and mutation probability are designed. In this paper, the grid method is used to construct the working environment of the lake patrol unmanned surface vehicle (USV). Compared with the traditional genetic algorithm, the improved genetic algorithm can obtain the shorter and safer non-collision path in different lake environments. The simulation results demonstrate that the path planning of the lake patrol USV with the improved genetic algorithm is reasonable and effective.
{"title":"Application of Improved Genetic Algorithm to Unmanned Surface Vehicle Path Planning","authors":"Yang Long, Yixin Su, Huajun Zhang, Ming Li","doi":"10.1109/DDCLS.2018.8515966","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515966","url":null,"abstract":"Lake patrol is an important part of lake water environment management and the path planning is the key problem to lake patrol. In order to solve this kind of path planning problem, an improved genetic algorithm is proposed. A new initial population method is proposed to create a better quality of the initial population, and the adaptive crossover probability and mutation probability are designed. In this paper, the grid method is used to construct the working environment of the lake patrol unmanned surface vehicle (USV). Compared with the traditional genetic algorithm, the improved genetic algorithm can obtain the shorter and safer non-collision path in different lake environments. The simulation results demonstrate that the path planning of the lake patrol USV with the improved genetic algorithm is reasonable and effective.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"48 1","pages":"209-212"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86314855","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.2018.8516058
Ling Ren, Guoshan Zhang
In this paper, we propose an output feedback tracking control scheme for a class of continuous-time nonlinear systems without specific model. A radial basis function neural network (RBFNN) observer is designed to online estimate the unmeasured inner state variables only using the input and output data. Based on the designed RBFNN observer, a sliding mode controller is derived to guarantee that the system states follow the desired trajectories. Simulation results on an example show the effectiveness and tracking performance of the proposed scheme.
{"title":"Data-Based Adaptive Output Feedback Tracking Control for a Class of Nonlinear Systems","authors":"Ling Ren, Guoshan Zhang","doi":"10.1109/DDCLS.2018.8516058","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516058","url":null,"abstract":"In this paper, we propose an output feedback tracking control scheme for a class of continuous-time nonlinear systems without specific model. A radial basis function neural network (RBFNN) observer is designed to online estimate the unmeasured inner state variables only using the input and output data. Based on the designed RBFNN observer, a sliding mode controller is derived to guarantee that the system states follow the desired trajectories. Simulation results on an example show the effectiveness and tracking performance of the proposed scheme.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"421 1","pages":"246-250"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79623191","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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