Pub Date : 2019-09-12DOI: 10.1109/CCDC.2019.8832812
Zhenwei Liu, A. Saberi, A. Stoorvogel, Rong Li
This paper studies delayed state synchronization of homogeneous discrete-time multi-agent systems (MAS) in the presence of unknown nonuniform communication delays. We develop a delay-free transformation to remove the effect comes from communication delays. A static and a dynamic protocols are designed for full- and partial-state coupling based on discrete-time algebraic Riccati equation, which only needs rough information of communication graph.
{"title":"Delayed state synchronization of homogeneous discrete-time multi-agent systems in the presence of unknown communication delays","authors":"Zhenwei Liu, A. Saberi, A. Stoorvogel, Rong Li","doi":"10.1109/CCDC.2019.8832812","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832812","url":null,"abstract":"This paper studies delayed state synchronization of homogeneous discrete-time multi-agent systems (MAS) in the presence of unknown nonuniform communication delays. We develop a delay-free transformation to remove the effect comes from communication delays. A static and a dynamic protocols are designed for full- and partial-state coupling based on discrete-time algebraic Riccati equation, which only needs rough information of communication graph.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132745","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}
The existing road garbage automatic cleaning device has problems such as low cleaning efficiency, difficulty in management, low accuracy of information transmission and garbage identification, and cannot meet actual needs well. A road garbage cleaning device based on ZigBee gateway and image recognition is designed, which consist of power module, camera pan/tilt module, robot arm module, ZigBee gateway module, GPS module, MCU control module and vehicle model module. The road debris is identified and analyzed by the camera pan/tilt module together with the RBF neural network algorithm, and then the device can automatically go to the target location and clean up garbage by robotic arm; The networking characteristics of the ZigBee gateway module are used to collect information such as positioning and moving speed of each device node in real time. In addition, the APP software or server can view road image information and device information, analyze relevant data, and provide convenience for real-time monitoring and management of road garbage cleaning work.
{"title":"Road Garbage Cleaning Device Based on ZigBee Gateway and Image Recognition","authors":"Linwei Cui, Tengfei Zhang, Xiaoqing Yin, Yaowei Qi","doi":"10.1109/CCDC.2019.8833453","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833453","url":null,"abstract":"The existing road garbage automatic cleaning device has problems such as low cleaning efficiency, difficulty in management, low accuracy of information transmission and garbage identification, and cannot meet actual needs well. A road garbage cleaning device based on ZigBee gateway and image recognition is designed, which consist of power module, camera pan/tilt module, robot arm module, ZigBee gateway module, GPS module, MCU control module and vehicle model module. The road debris is identified and analyzed by the camera pan/tilt module together with the RBF neural network algorithm, and then the device can automatically go to the target location and clean up garbage by robotic arm; The networking characteristics of the ZigBee gateway module are used to collect information such as positioning and moving speed of each device node in real time. In addition, the APP software or server can view road image information and device information, analyze relevant data, and provide convenience for real-time monitoring and management of road garbage cleaning work.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115588360","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833328
Weixin Wu, Meiping Shi, Tao Wu, Dawei Zhao, Shuai Zhang, Junxiang Li
Real-time hand gesture recognition in complex environments has many challenges, such as poor real-time performances and robustness to environmental changes. This paper takes the hand gesture control of the unmanned vehicle as the application background, and focuses on the gesture detection and recognition of video streams based on deep learning in the complex environment. In this paper, we detect the hand in a complex environment by training the ssd_mobilenet model, and initialize the tracking with kalman filter. Then, we detect the hand keypoints by following the architecture of Convolutional Pose Machines (CPMs), in order to obtain the belief maps for all keypoints that are used as the train sets of Convolutional Neural Networks (CNNs). Finally, based on the results obtained by our classification, this paper proposes a method of multi-frame recursion to minimize the influences of redundant frames and error frames. In this paper, eight kinds of gestures for controlling vehicle are identified. The experimental results show that our method can successfully realize real-time hand gesture recognition in the video streams. The recognition accuracy can reach 96.7%, and the average recognition speed reaches 12 fps, which basically meets the real-time requirements and successfully applys to mobile terminals such as TX2 for engineering practice.
{"title":"Real-time Hand Gesture Recognition Based on Deep Learning in Complex Environments","authors":"Weixin Wu, Meiping Shi, Tao Wu, Dawei Zhao, Shuai Zhang, Junxiang Li","doi":"10.1109/CCDC.2019.8833328","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833328","url":null,"abstract":"Real-time hand gesture recognition in complex environments has many challenges, such as poor real-time performances and robustness to environmental changes. This paper takes the hand gesture control of the unmanned vehicle as the application background, and focuses on the gesture detection and recognition of video streams based on deep learning in the complex environment. In this paper, we detect the hand in a complex environment by training the ssd_mobilenet model, and initialize the tracking with kalman filter. Then, we detect the hand keypoints by following the architecture of Convolutional Pose Machines (CPMs), in order to obtain the belief maps for all keypoints that are used as the train sets of Convolutional Neural Networks (CNNs). Finally, based on the results obtained by our classification, this paper proposes a method of multi-frame recursion to minimize the influences of redundant frames and error frames. In this paper, eight kinds of gestures for controlling vehicle are identified. The experimental results show that our method can successfully realize real-time hand gesture recognition in the video streams. The recognition accuracy can reach 96.7%, and the average recognition speed reaches 12 fps, which basically meets the real-time requirements and successfully applys to mobile terminals such as TX2 for engineering practice.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115744760","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833309
P. He, Shilun Li, R. Cui, Luya He, Hou-Yi Wang, Hui Chen
This paper investigates a methodology for designing online feedback control without iteration for acceleration tracking control in mechanical vibration test. Mathematical model with 5% uncertainty of the measured structure is established by vector fitting method based on the experimental data. An improved PR controller with fuzzy control is proposed in order to improve the control performance of sinusoidal vibration system and eliminate the effect of vibration disturbance to the control performance. The controller has better control performance on multi-resonance frequency, time delay, disturbance and model uncertainty for vibration test control system. Finally, compared with the PID control, simulation results show that the designed controller has better effectiveness and superiority.
{"title":"Fuzzy Proportional Resonant Control of Vibration Testing System with Model Uncertainties","authors":"P. He, Shilun Li, R. Cui, Luya He, Hou-Yi Wang, Hui Chen","doi":"10.1109/CCDC.2019.8833309","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833309","url":null,"abstract":"This paper investigates a methodology for designing online feedback control without iteration for acceleration tracking control in mechanical vibration test. Mathematical model with 5% uncertainty of the measured structure is established by vector fitting method based on the experimental data. An improved PR controller with fuzzy control is proposed in order to improve the control performance of sinusoidal vibration system and eliminate the effect of vibration disturbance to the control performance. The controller has better control performance on multi-resonance frequency, time delay, disturbance and model uncertainty for vibration test control system. Finally, compared with the PID control, simulation results show that the designed controller has better effectiveness and superiority.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121096353","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832909
Liuhao Ma, Jian Xu, Qiang Yang, Xun Li, Qishen Lv
Mechanical fault diagnosis and analysis is of paramount importance to ensure reliable and safe operation of various industrial systems. As the massive field data becomes more available, data-driven fault diagnosis becomes feasible and prevalent. But the traditional methods have its limitations in feature extraction and most related research focus on improving the classification method for higher precision. However the feature information of the time signals is still an important part of the diagnosis which has been neglected. This paper proposed a novel method which makes use of the message in the raw time signals. Firstly, a conversion method is used to convert time signals into two-dimensional images. Then the convolutional neural network (CNN) is proposed to extract the features of the 2-D images. Finally, the problem of signal processing is transformed into the problem of image processing. Five typical faults are examined in the experiment using the Case Western Reserve University bearing dataset. The numerical result clearly confirms the effectiveness of the proposed solution.
{"title":"Bearing Fault Diagnosis based on Convolutional Neural Network learning of time-domain vibration signal imaging","authors":"Liuhao Ma, Jian Xu, Qiang Yang, Xun Li, Qishen Lv","doi":"10.1109/CCDC.2019.8832909","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832909","url":null,"abstract":"Mechanical fault diagnosis and analysis is of paramount importance to ensure reliable and safe operation of various industrial systems. As the massive field data becomes more available, data-driven fault diagnosis becomes feasible and prevalent. But the traditional methods have its limitations in feature extraction and most related research focus on improving the classification method for higher precision. However the feature information of the time signals is still an important part of the diagnosis which has been neglected. This paper proposed a novel method which makes use of the message in the raw time signals. Firstly, a conversion method is used to convert time signals into two-dimensional images. Then the convolutional neural network (CNN) is proposed to extract the features of the 2-D images. Finally, the problem of signal processing is transformed into the problem of image processing. Five typical faults are examined in the experiment using the Case Western Reserve University bearing dataset. The numerical result clearly confirms the effectiveness of the proposed solution.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126814139","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832851
Yongmei Liu, Meng Gao, Chen Fan
Considering the common market phenomenon "showrooming", this paper studies the optimal type of online channel under the supply chain with one manufacturer and two retail channels. There are two types of online channel, which are the reseller channel and the marketplace channel. Our conclusions are as follows. In the presence of showrooming, first, the marketplace channel increases the profit of the supply chain; second, if the platform fee is not high enough, the manufacturer prefers to adopt the marketplace channel; finally, if the platform fee is intermediate, the marketplace channel is a win-win strategy for the manufacturer and the online retailer. In the absence of showrooming, if the platform fee is low enough, the marketplace channel increases the profit of the supply chain; if the platform fee is high enough, the reseller channel increases the profit of the supply chain.
{"title":"The optimal type of online channel considering showrooming","authors":"Yongmei Liu, Meng Gao, Chen Fan","doi":"10.1109/CCDC.2019.8832851","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832851","url":null,"abstract":"Considering the common market phenomenon \"showrooming\", this paper studies the optimal type of online channel under the supply chain with one manufacturer and two retail channels. There are two types of online channel, which are the reseller channel and the marketplace channel. Our conclusions are as follows. In the presence of showrooming, first, the marketplace channel increases the profit of the supply chain; second, if the platform fee is not high enough, the manufacturer prefers to adopt the marketplace channel; finally, if the platform fee is intermediate, the marketplace channel is a win-win strategy for the manufacturer and the online retailer. In the absence of showrooming, if the platform fee is low enough, the marketplace channel increases the profit of the supply chain; if the platform fee is high enough, the reseller channel increases the profit of the supply chain.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116226007","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832539
Xiaohu Zhang, Lei Zhu
Since the current CNN-based salient object detection algorithms are of slow speed, as well as fail to preserve rich information of object boundaries, which makes the regions along object contours blurred and inaccurate, a fast salient object detection algorithm with multi-scaled features aggression was proposed. Based on deep ResNet-50, four kinds of features in various resolution levels are extracted separately and then aggregated, which can make the output of network preserve more detailed information about object boundaries, so that the blurry salient maps can be solved via the proposed method. We trained an end-to-end model on THUS10K database, the resulting network can produce a saliency map with pixel-level accuracy from an input image. Extensive experiments on PascalS and DUTOMRON confirm that the proposed method achieves higher AUC and F-measure value while processing images at a rate of 15 fps, which is dramatically faster than any other eight existing methods.
{"title":"Fast salient object detection based on multi-scale feature aggression","authors":"Xiaohu Zhang, Lei Zhu","doi":"10.1109/CCDC.2019.8832539","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832539","url":null,"abstract":"Since the current CNN-based salient object detection algorithms are of slow speed, as well as fail to preserve rich information of object boundaries, which makes the regions along object contours blurred and inaccurate, a fast salient object detection algorithm with multi-scaled features aggression was proposed. Based on deep ResNet-50, four kinds of features in various resolution levels are extracted separately and then aggregated, which can make the output of network preserve more detailed information about object boundaries, so that the blurry salient maps can be solved via the proposed method. We trained an end-to-end model on THUS10K database, the resulting network can produce a saliency map with pixel-level accuracy from an input image. Extensive experiments on PascalS and DUTOMRON confirm that the proposed method achieves higher AUC and F-measure value while processing images at a rate of 15 fps, which is dramatically faster than any other eight existing methods.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124316613","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833131
Dan Yang, Yanjun Liu, Bin Xu, Juming Pang
Simulation of forward problem for eddy current in magnetic induction tomography is one of the key issues in development of the technology of MIT. 2D and 3D MIT forward problem were built by finite-element model (FEM) based on the COSMOL software. Simulate to obtain magnetic flux density for 3D model with different eddy current distribution and make the results be compared, conclude regularity for change of 2D eddy current magnetic flux density influenced by excitation coils. These results provide crucial basis for forward problem and image reconstruction of MIT.
{"title":"Simulation Study for Forward Problem in Magnetic Induction Tomography By COMSOL","authors":"Dan Yang, Yanjun Liu, Bin Xu, Juming Pang","doi":"10.1109/CCDC.2019.8833131","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833131","url":null,"abstract":"Simulation of forward problem for eddy current in magnetic induction tomography is one of the key issues in development of the technology of MIT. 2D and 3D MIT forward problem were built by finite-element model (FEM) based on the COSMOL software. Simulate to obtain magnetic flux density for 3D model with different eddy current distribution and make the results be compared, conclude regularity for change of 2D eddy current magnetic flux density influenced by excitation coils. These results provide crucial basis for forward problem and image reconstruction of MIT.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124450465","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8833422
Li Ma, Xiang Gao, Yingxun Fu, Dongchao Ma
When the jump point search algorithm is applied to robot path planning, there are problems such as many redundant path points, large cumulative turning angle and the robot incapable of adjusting its posture at the path point. This paper proposes an improved jump point search algorithm, which checks the connectivity between the previous point and the last point of each original point. It also uses vector cross product to identify the direction of the next path point relative to the current path point. The vector dot product is adopted to calculate the rotation angle of the current path point. Three evaluation indicators, such as the number of path points, the total path length and the cumulative turning angle, are formulated to judge the merits and demerits of the optimized algorithm. The experimental results show that on the map of scene 1, improved jump point search algorithm reduces the path points from 9 to 7, with total path length decreased by about 12%, and cumulative turning angle decreased by about 27%. The improved jump point search algorithm is designed to obtain a shorter final path, a smaller cumulative turning angle, and to able robot to adjust posture at the path point.
{"title":"An Improved Jump Point Search Algorithm for Home Service Robot Path Planning","authors":"Li Ma, Xiang Gao, Yingxun Fu, Dongchao Ma","doi":"10.1109/CCDC.2019.8833422","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833422","url":null,"abstract":"When the jump point search algorithm is applied to robot path planning, there are problems such as many redundant path points, large cumulative turning angle and the robot incapable of adjusting its posture at the path point. This paper proposes an improved jump point search algorithm, which checks the connectivity between the previous point and the last point of each original point. It also uses vector cross product to identify the direction of the next path point relative to the current path point. The vector dot product is adopted to calculate the rotation angle of the current path point. Three evaluation indicators, such as the number of path points, the total path length and the cumulative turning angle, are formulated to judge the merits and demerits of the optimized algorithm. The experimental results show that on the map of scene 1, improved jump point search algorithm reduces the path points from 9 to 7, with total path length decreased by about 12%, and cumulative turning angle decreased by about 27%. The improved jump point search algorithm is designed to obtain a shorter final path, a smaller cumulative turning angle, and to able robot to adjust posture at the path point.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127822713","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 : 2019-06-03DOI: 10.1109/CCDC.2019.8832832
M. Li, Qinpeng Sun, Mengmei Zhu
The traditional RRT algorithm is difficult to realize the 3-dimensional flight path planning of unmanned aerial vehicle (UAV). In view of the complexity and particularity of the 3-dimensional environment, an improved RRT algorithm is proposed. According to the specific task requirements and the performance limitation of UAV, the flight height constraint, the maximum range constraint and the pitch angle constraint are designed. A new node acceptance criteria and path adjustment method is proposed for the 3-dimensional environment. From the theoretical point of view, the convergence of the improved algorithm is analyzed. On the other hand, a 3-dimensional simulation environment is established for algorithm test. The simulation results show that the improved RRT algorithm can realize the path planning in three-dimensional environment and meet the mission requirements of UAV.
{"title":"UAV 3-Dimension Flight Path Planning Based on Improved Rapidly-exploring Random Tree","authors":"M. Li, Qinpeng Sun, Mengmei Zhu","doi":"10.1109/CCDC.2019.8832832","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832832","url":null,"abstract":"The traditional RRT algorithm is difficult to realize the 3-dimensional flight path planning of unmanned aerial vehicle (UAV). In view of the complexity and particularity of the 3-dimensional environment, an improved RRT algorithm is proposed. According to the specific task requirements and the performance limitation of UAV, the flight height constraint, the maximum range constraint and the pitch angle constraint are designed. A new node acceptance criteria and path adjustment method is proposed for the 3-dimensional environment. From the theoretical point of view, the convergence of the improved algorithm is analyzed. On the other hand, a 3-dimensional simulation environment is established for algorithm test. The simulation results show that the improved RRT algorithm can realize the path planning in three-dimensional environment and meet the mission requirements of UAV.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322522","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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