Pub Date : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00024
Dai Yu, Wang Xuan, Long Wenjia, Yunli Peng, Ma Junyu
Moving target monitoring is widely used in many fields such as industrial control, military, and security. Traditional moving target monitoring generally uses infrared, ultra-sonic and other technologies, which have the disadvantages of complex implementation technology, high hardware cost and high environmental requirements. This paper proposes a low-cost, easy-to-deploy, and small-scale environment with little environmental impact by collecting GPS monitoring signals of multi-target speed and location and signal transmission and processing methods based on ZigBee wireless ad hoc network. Signal acquisition and real-time data storage, transmission and processing methods have high application value and promotion significance.
{"title":"Position Monitoring of Multiple Moving Targets Based on ZigBee and GPS","authors":"Dai Yu, Wang Xuan, Long Wenjia, Yunli Peng, Ma Junyu","doi":"10.1109/ICDSBA51020.2020.00024","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00024","url":null,"abstract":"Moving target monitoring is widely used in many fields such as industrial control, military, and security. Traditional moving target monitoring generally uses infrared, ultra-sonic and other technologies, which have the disadvantages of complex implementation technology, high hardware cost and high environmental requirements. This paper proposes a low-cost, easy-to-deploy, and small-scale environment with little environmental impact by collecting GPS monitoring signals of multi-target speed and location and signal transmission and processing methods based on ZigBee wireless ad hoc network. Signal acquisition and real-time data storage, transmission and processing methods have high application value and promotion significance.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127042085","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 flexspline of a harmonic reducer in an industrial robot has two failure modes. In this paper, using the commercial software Ansys, the problem of flexspline strength is investigated through the boundary condition setting and the static and buckling computation. Meanwhile, the torsion critical load of the flexspline was measured by setting up a torsional test device. The research results show that the flexsplines with different structures have different failure modes, and they can be checked by strength computation.
{"title":"Research on Flexspline Strength of Harmonic Reducer for Industrial Robot","authors":"Zelu Zhang, Jingjun Gu, Jing Tan, Dishan Huang, Tong Tong","doi":"10.1109/ICDSBA51020.2020.00063","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00063","url":null,"abstract":"The flexspline of a harmonic reducer in an industrial robot has two failure modes. In this paper, using the commercial software Ansys, the problem of flexspline strength is investigated through the boundary condition setting and the static and buckling computation. Meanwhile, the torsion critical load of the flexspline was measured by setting up a torsional test device. The research results show that the flexsplines with different structures have different failure modes, and they can be checked by strength computation.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133693774","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00074
Yao Zhang
In this paper, a rowing machine is designed according to rowing action. Then, on the one hand, motion simulation is finished by using SolidWorks to obtain its displacement and velocity, and verify the size of each rod of the rowing machine. On the other hand, static simulation is finished by using SolidWorks to obtain its stress during one cycle and then optimize the diameter of the handrail for ensuring the comfort and safety. The results show that the motion simulation curve is basically consistent with the motion analytical curve of the rowing machine, it verifies rationality of the optimal parameters. The rowing machine can drive the coordinated movement of the upper limbs, lower limbs, waist and abdomen, and back joints of the human body, which is consistent with the traditional rowing movement. It achieves the purpose of training and fitness. Moreover, the speed of the pedal and tailstock remain basically unchanged and no sharp acceleration or deceleration exist, so the rowing machine meets the uniform speed requirements of traditional rowing action and the comfort of use.The maximum stress of the rowing machine appears on the rod L1. It is less than the yield stress of stainless steel AISI-304.
{"title":"Motion and Static Simulation of Rowing Machine","authors":"Yao Zhang","doi":"10.1109/ICDSBA51020.2020.00074","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00074","url":null,"abstract":"In this paper, a rowing machine is designed according to rowing action. Then, on the one hand, motion simulation is finished by using SolidWorks to obtain its displacement and velocity, and verify the size of each rod of the rowing machine. On the other hand, static simulation is finished by using SolidWorks to obtain its stress during one cycle and then optimize the diameter of the handrail for ensuring the comfort and safety. The results show that the motion simulation curve is basically consistent with the motion analytical curve of the rowing machine, it verifies rationality of the optimal parameters. The rowing machine can drive the coordinated movement of the upper limbs, lower limbs, waist and abdomen, and back joints of the human body, which is consistent with the traditional rowing movement. It achieves the purpose of training and fitness. Moreover, the speed of the pedal and tailstock remain basically unchanged and no sharp acceleration or deceleration exist, so the rowing machine meets the uniform speed requirements of traditional rowing action and the comfort of use.The maximum stress of the rowing machine appears on the rod L1. It is less than the yield stress of stainless steel AISI-304.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130446380","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00049
Xiao Juan Yang, Shu Quan Xv, F. Liu
Automotive active safety components and electronic control system have an important impact on vehicle safety. In this paper, the composition and working principle of automotive active safety components and electronic control system are studied to form the failure mode system of automobile active safety components and electronic control system, which provides early warning and remote diagnosis of automobile active safety components and electronic control system failure Theoretical basis.
{"title":"Research on Typical Faults of Active Safety Components of Passenger Cars","authors":"Xiao Juan Yang, Shu Quan Xv, F. Liu","doi":"10.1109/ICDSBA51020.2020.00049","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00049","url":null,"abstract":"Automotive active safety components and electronic control system have an important impact on vehicle safety. In this paper, the composition and working principle of automotive active safety components and electronic control system are studied to form the failure mode system of automobile active safety components and electronic control system, which provides early warning and remote diagnosis of automobile active safety components and electronic control system failure Theoretical basis.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126177782","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00042
Yu Zhang, Tongcai Wang, Yantong Zhao, Haochen Li, Bingshan Liu, Gong Wang
With the development of 3D printing technology, people put forward higher requirements for molding quality and efficiency. In the whole printing system, the design of scanning path directly affects the geometric accuracy, strength and molding efficiency of products. Simple parallel path and contour path can no longer meet the needs of manufacturing industry. In this paper, a new filling algorithm is proposed. On the basis of continuous filling without pause, the connection of sub-regions is realized by using Fermat spiral. The new algorithm integrates convex decomposition, PCA, variable spacing filling and other operations to further improve the printing efficiency. Finally, the superiority of the new algorithm is verified by comparing with the common algorithm.
{"title":"An Optimal Filling Path Planning Based on Principal Component Analysis","authors":"Yu Zhang, Tongcai Wang, Yantong Zhao, Haochen Li, Bingshan Liu, Gong Wang","doi":"10.1109/ICDSBA51020.2020.00042","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00042","url":null,"abstract":"With the development of 3D printing technology, people put forward higher requirements for molding quality and efficiency. In the whole printing system, the design of scanning path directly affects the geometric accuracy, strength and molding efficiency of products. Simple parallel path and contour path can no longer meet the needs of manufacturing industry. In this paper, a new filling algorithm is proposed. On the basis of continuous filling without pause, the connection of sub-regions is realized by using Fermat spiral. The new algorithm integrates convex decomposition, PCA, variable spacing filling and other operations to further improve the printing efficiency. Finally, the superiority of the new algorithm is verified by comparing with the common algorithm.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123789308","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00011
Hongyan Zhang, Shouming Ren, Chenlei Xie, Y. Zhong, Cuiyan Yuan
Building electricity data which is the basis of building energy consumption statistics comes from metering sensors scattered around the building, and the data obtained by metering sensors drifts partially. The cost of manually checking these data is very high. In response to this problem, this paper studies a method based on genetic algorithm (GA) optimization that combines Support Vector Machine (SVM) and Kalman filter (KF) to calibrate electricity consumption data. Training samples and test samples are obtained by preprocessing and normalizing the collected electricity consumption data. The support vector machine model is obtained from the training samples, and the electricity consumption data is predicted by the test sample data. Finally, the Kalman filter is used to track and calibrate the drift value to obtain the calibration electricity consumption data, and compare simulation experiments with other methods. The results show that the method has reached 91.88% of the agreed coefficient of regression prediction for the data, indicating that the algorithm is more accurate in calibrating the electricity consumption data, and has a certain guiding role in the verification of energy consumption data.
{"title":"Research on Calibration Method of Electricity Data Based on GA_SVM-KF","authors":"Hongyan Zhang, Shouming Ren, Chenlei Xie, Y. Zhong, Cuiyan Yuan","doi":"10.1109/ICDSBA51020.2020.00011","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00011","url":null,"abstract":"Building electricity data which is the basis of building energy consumption statistics comes from metering sensors scattered around the building, and the data obtained by metering sensors drifts partially. The cost of manually checking these data is very high. In response to this problem, this paper studies a method based on genetic algorithm (GA) optimization that combines Support Vector Machine (SVM) and Kalman filter (KF) to calibrate electricity consumption data. Training samples and test samples are obtained by preprocessing and normalizing the collected electricity consumption data. The support vector machine model is obtained from the training samples, and the electricity consumption data is predicted by the test sample data. Finally, the Kalman filter is used to track and calibrate the drift value to obtain the calibration electricity consumption data, and compare simulation experiments with other methods. The results show that the method has reached 91.88% of the agreed coefficient of regression prediction for the data, indicating that the algorithm is more accurate in calibrating the electricity consumption data, and has a certain guiding role in the verification of energy consumption data.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124514201","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00081
Chengfang Zhang
The traditional convolutional dictionary-learning algorithm not only realizes the global sparse representation by imposing constraints on the image □0 or □1 norm, but also allows all possible movements of the local dictionary. However, selected atoms may be concentrated in certain areas of the image, while other atoms may be very sparse. Therefore, when using a traditionally-learned convolution dictionary, global sparseness alone is not sufficient to represent the entire image structure, and the resulting fusion image suffers from partial detail damage. For the above-mentioned convolutional sparse coding problem, this paper presents a greedy strategy based on the constraint 1_("0," ∞) problem to obtain a convolution dictionary(CDL-GMT), and applies the learned convolutional sparse dictionary to infrared and visible-light image fusion. This method attempts to impose constraints on sparsity locally, while considering the global structure. Experimental results prove the method to be superior to others in subjective and objective evaluation.
{"title":"Convolutional Dictionary Learning Using Global Matching Tracking (CDL-GMT): Application to Visible-Infrared Image Fusion","authors":"Chengfang Zhang","doi":"10.1109/ICDSBA51020.2020.00081","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00081","url":null,"abstract":"The traditional convolutional dictionary-learning algorithm not only realizes the global sparse representation by imposing constraints on the image □0 or □1 norm, but also allows all possible movements of the local dictionary. However, selected atoms may be concentrated in certain areas of the image, while other atoms may be very sparse. Therefore, when using a traditionally-learned convolution dictionary, global sparseness alone is not sufficient to represent the entire image structure, and the resulting fusion image suffers from partial detail damage. For the above-mentioned convolutional sparse coding problem, this paper presents a greedy strategy based on the constraint 1_(\"0,\" ∞) problem to obtain a convolution dictionary(CDL-GMT), and applies the learned convolutional sparse dictionary to infrared and visible-light image fusion. This method attempts to impose constraints on sparsity locally, while considering the global structure. Experimental results prove the method to be superior to others in subjective and objective evaluation.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706581","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00094
Yi Zhang, Yong Hu, Xiaolin Hu, Bin Xing
This paper implements the construction of three-dimensional point cloud map based on RGB-D SLAM, and takes the three-dimensional point cloud information output by SLAM system as the input of Octomap, generates octree map and performs three-dimensional projection transformation, which converts point cloud map into two-dimensional raster map for path planning research. In order to solve the problem of secondary obstacle avoidance and the problem of emergency stop caused by no local optimal solution in local path planning, a new path planning algorithm for mobile robot based on dynamic object trajectory prediction is presented, and the best path is selected by combining the reinforcement learning algorithm, Sarsa, to avoid dynamic obstacles effectively. On the basis of using RGB-D camera to locate pedestrians in real time, Kalman filter algorithm is used to predict the global coordinates of pedestrians in the next moment. Then a new reward and punishment mechanism is designed to realize the dynamic obstacle avoidance based on the improved Sarsa algorithm, so that the mobile robot can leave the radiation circle of pedestrian prediction coordinates as soon as possible and avoid the pedestrian walking path.
{"title":"Path Planning for Mobile Robot Based on RGB-D SLAM and Pedestrian Trajectory Prediction","authors":"Yi Zhang, Yong Hu, Xiaolin Hu, Bin Xing","doi":"10.1109/ICDSBA51020.2020.00094","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00094","url":null,"abstract":"This paper implements the construction of three-dimensional point cloud map based on RGB-D SLAM, and takes the three-dimensional point cloud information output by SLAM system as the input of Octomap, generates octree map and performs three-dimensional projection transformation, which converts point cloud map into two-dimensional raster map for path planning research. In order to solve the problem of secondary obstacle avoidance and the problem of emergency stop caused by no local optimal solution in local path planning, a new path planning algorithm for mobile robot based on dynamic object trajectory prediction is presented, and the best path is selected by combining the reinforcement learning algorithm, Sarsa, to avoid dynamic obstacles effectively. On the basis of using RGB-D camera to locate pedestrians in real time, Kalman filter algorithm is used to predict the global coordinates of pedestrians in the next moment. Then a new reward and punishment mechanism is designed to realize the dynamic obstacle avoidance based on the improved Sarsa algorithm, so that the mobile robot can leave the radiation circle of pedestrian prediction coordinates as soon as possible and avoid the pedestrian walking path.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311037","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00083
Hong Wei Liu, Yuman Nie, Yuanyang Tang, Pingguo Cao, M. Ye, Li-Fu Gao, Hui Cao, Y. Sun, Da Qing Wang
In the deep-sea underwater environment, deep-sea underwater operations rely on image information to achieve accurate target positioning. In this paper, aiming at the refraction problem in the deep-sea underwater environment, based on the analysis of the underwater refraction model and binocular vision positioning principle, the refractive index is introduced to correct the refractive phenomenon; and aiming at the problem that the refractive index of seawater changes with water depth, temperature and salinity, the real-time calculation is carried out in the small operation environment relying on the auxiliary calibration method to achieve more accurate target positioning. The results of underwater experiments show that the above methods are effective and provide a reference for the accurate positioning of deep-sea underwater operations.
{"title":"Research on Image Positioning of Underwater Operation System in Deep-Sea","authors":"Hong Wei Liu, Yuman Nie, Yuanyang Tang, Pingguo Cao, M. Ye, Li-Fu Gao, Hui Cao, Y. Sun, Da Qing Wang","doi":"10.1109/ICDSBA51020.2020.00083","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00083","url":null,"abstract":"In the deep-sea underwater environment, deep-sea underwater operations rely on image information to achieve accurate target positioning. In this paper, aiming at the refraction problem in the deep-sea underwater environment, based on the analysis of the underwater refraction model and binocular vision positioning principle, the refractive index is introduced to correct the refractive phenomenon; and aiming at the problem that the refractive index of seawater changes with water depth, temperature and salinity, the real-time calculation is carried out in the small operation environment relying on the auxiliary calibration method to achieve more accurate target positioning. The results of underwater experiments show that the above methods are effective and provide a reference for the accurate positioning of deep-sea underwater operations.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115029920","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00097
Chenghui Yang, Hongjie Bao, Wanqiu Ma, Lianlian Wang
“Ideological and political curriculum” is the core of innovation and reform of educational concept and mod e of education in colleges and universities. Compared with humanities and social sciences, the ideological and political construction of science and engineering courses is more difficult. Therefore, this paper starts from the significance of the ideological and political construction of science and engineering courses, and then deeply analyzes and systematically summarizes the construction of ideological and political construction of courses. Combined with the case, the concrete measures of ideological and political construction of curriculum are put forward.
{"title":"\"Internet +\" to Promote the Ideological and Political Construction of University Courses","authors":"Chenghui Yang, Hongjie Bao, Wanqiu Ma, Lianlian Wang","doi":"10.1109/ICDSBA51020.2020.00097","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00097","url":null,"abstract":"“Ideological and political curriculum” is the core of innovation and reform of educational concept and mod e of education in colleges and universities. Compared with humanities and social sciences, the ideological and political construction of science and engineering courses is more difficult. Therefore, this paper starts from the significance of the ideological and political construction of science and engineering courses, and then deeply analyzes and systematically summarizes the construction of ideological and political construction of courses. Combined with the case, the concrete measures of ideological and political construction of curriculum are put forward.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124043643","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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