Pub Date : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9305003
Rui Yang, Lei Jiang, Ke Du, Yan Zhang, Lipeng Wang, Kun Li
In order to reduce ship emissions and improve energy efficiency, fuel cell is integrated with diesel generator as hybrid power source for ship power system, in which the basic load is provided by diesel engine and fuel cell to ptovide the rest part when the power load demand turn greater than the basic. In this study, a hybrid power system consists of diesel and alternative energy that provide main power and auxiliary power in sequence has been developed with an optimal energy management strategy proposed to minimize fuel consumption. The MATLAB + SIMULINK simulation environment was adopted to conduct the hybrid power system model to investigate the effectiveness of optimal energy management strategy by comparing ship typical drive cycle with traditional energy management strategy. The results reveal that the proposed optimization method can improve fuel economy with the battery charging profile maintained in reasonable range, and proves that by usingthe intelligent energy mangement method, the running efficiency of diesel engine can be improved, hence satisfying ship power demand and accelerating the stability of the system.
{"title":"Research and Experimentation on Energy Management System for Inland Diesel-Electric Hybrid Power Ships","authors":"Rui Yang, Lei Jiang, Ke Du, Yan Zhang, Lipeng Wang, Kun Li","doi":"10.1109/ICCSNT50940.2020.9305003","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9305003","url":null,"abstract":"In order to reduce ship emissions and improve energy efficiency, fuel cell is integrated with diesel generator as hybrid power source for ship power system, in which the basic load is provided by diesel engine and fuel cell to ptovide the rest part when the power load demand turn greater than the basic. In this study, a hybrid power system consists of diesel and alternative energy that provide main power and auxiliary power in sequence has been developed with an optimal energy management strategy proposed to minimize fuel consumption. The MATLAB + SIMULINK simulation environment was adopted to conduct the hybrid power system model to investigate the effectiveness of optimal energy management strategy by comparing ship typical drive cycle with traditional energy management strategy. The results reveal that the proposed optimization method can improve fuel economy with the battery charging profile maintained in reasonable range, and proves that by usingthe intelligent energy mangement method, the running efficiency of diesel engine can be improved, hence satisfying ship power demand and accelerating the stability of the system.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"60 1","pages":"102-106"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79331380","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9305019
Jiao Xuan, L. Chengyang, Xiuyan Jiang
Aiming at the flexible job-shop scheduling problem in fuzzy environment, targeting at minimizing the average completion time and maximizing the customer satisfaction, mathematical model of flexible job-shop scheduling problem is established, and cloud adaptive genetic algorithm is proposed. Aiming at the characteristics of flexible operation, double-chain quantum coding method for machine distribution chain and workpiece process chain is proposed; Aiming at the problems that the crossover and mutation operation of genetic algorithm may lead to premature convergence and late diversity loss, cloud computing method is used to design cloud crossover operator and cloud mutation operator for operation, and improved cloud adaptive genetic algorithm is proposed. Through the example of classical job-shop scheduling, it is verified that the proposed algorithm can reduce the precocious probability and improve the iterative search efficiency, and more non-dominated solution can be obtained compared with other algorithms.
{"title":"Research on Multi-objective Fuzzy Flexible Job-Shop Scheduling Based on Cloud Computinger","authors":"Jiao Xuan, L. Chengyang, Xiuyan Jiang","doi":"10.1109/ICCSNT50940.2020.9305019","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9305019","url":null,"abstract":"Aiming at the flexible job-shop scheduling problem in fuzzy environment, targeting at minimizing the average completion time and maximizing the customer satisfaction, mathematical model of flexible job-shop scheduling problem is established, and cloud adaptive genetic algorithm is proposed. Aiming at the characteristics of flexible operation, double-chain quantum coding method for machine distribution chain and workpiece process chain is proposed; Aiming at the problems that the crossover and mutation operation of genetic algorithm may lead to premature convergence and late diversity loss, cloud computing method is used to design cloud crossover operator and cloud mutation operator for operation, and improved cloud adaptive genetic algorithm is proposed. Through the example of classical job-shop scheduling, it is verified that the proposed algorithm can reduce the precocious probability and improve the iterative search efficiency, and more non-dominated solution can be obtained compared with other algorithms.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"15 1","pages":"7-10"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89866084","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304994
Yi Yao, Guoping Li, Xiangfang Zhang, Xinyi Teng, Mengsheng Huang
For traditional electromagnetic detection of steel wire rope damage, there are a lot of noise in the collected signals, and a wavelet denoising method based on soft threshold is proposed to apply to denoising. By comparing the signal-to-noise ratio obtained by using different wavelet bases to denoise the detection signal, it was found that db4 had the most ideal denoising effect on the detection signal. In the experiment, the detection signal of different broken wires was denoised. The experimental results show that the wavelet transform soft threshold denoising method is effective, which provides a guarantee for the subsequent feature value extraction and quantitative recognition accuracy.
{"title":"Research on Wavelet Denoising Method Based on Soft Threshold in Wire Rope Damage Detection","authors":"Yi Yao, Guoping Li, Xiangfang Zhang, Xinyi Teng, Mengsheng Huang","doi":"10.1109/ICCSNT50940.2020.9304994","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304994","url":null,"abstract":"For traditional electromagnetic detection of steel wire rope damage, there are a lot of noise in the collected signals, and a wavelet denoising method based on soft threshold is proposed to apply to denoising. By comparing the signal-to-noise ratio obtained by using different wavelet bases to denoise the detection signal, it was found that db4 had the most ideal denoising effect on the detection signal. In the experiment, the detection signal of different broken wires was denoised. The experimental results show that the wavelet transform soft threshold denoising method is effective, which provides a guarantee for the subsequent feature value extraction and quantitative recognition accuracy.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"12 1","pages":"165-170"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79714402","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304997
Xu Liang, Yiming Huang, Ming Huang
Aiming at the arrival of a new job in the flexible job shop, how to quickly and accurately select the optimal rescheduling method was investigated. And improved probabilistic neural network (PNN) model was used to intelligently decide the method of rescheduling. Simulation methods is used to solve the difficulty of obtaining all on-site samples. The problem is caused by the complexity of the on-site working environment. In simulation experiments, a large number of labeled samples were obtained based on performance indicators and stability indicators. Part of the samples were used to train the PNN model to improve the accuracy of the prediction results. The genetic algorithm was used to improve the smoothing factor of the PNN, and the experimental results indicated that the accuracy of the rescheduling method was significantly improved by using the proposed model.
{"title":"Prediction of Optimal Rescheduling Mode of Flexible Job Shop Under the Arrival of a New Job","authors":"Xu Liang, Yiming Huang, Ming Huang","doi":"10.1109/ICCSNT50940.2020.9304997","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304997","url":null,"abstract":"Aiming at the arrival of a new job in the flexible job shop, how to quickly and accurately select the optimal rescheduling method was investigated. And improved probabilistic neural network (PNN) model was used to intelligently decide the method of rescheduling. Simulation methods is used to solve the difficulty of obtaining all on-site samples. The problem is caused by the complexity of the on-site working environment. In simulation experiments, a large number of labeled samples were obtained based on performance indicators and stability indicators. Part of the samples were used to train the PNN model to improve the accuracy of the prediction results. The genetic algorithm was used to improve the smoothing factor of the PNN, and the experimental results indicated that the accuracy of the rescheduling method was significantly improved by using the proposed model.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"29 1","pages":"55-58"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72957244","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9305013
Chunming Xu, Qiang Lin, Can Wang, Nan Yang, Dong Xu, Congwen Wang
Taking consideration of the particularity of the college student group, this paper proposes to apply attribute reduction for classification management of students, which provides valuable reference for student workers. This paper firstly focuses on the classification of attributes, applies equivalent class for attribute reduction, puts forward judging theorems of core attributes with demonstration; secondly, it proposes an algorithm of attribute reduction and applies it to classification management of college students for the first time by establishing a binary tree with attributes; subsequently, we discuss the time complexity, the time complexity of reduction is reduced to polynomial level for the first time. Comparing with other algorithms on runtime and ability of classification, experimental results show that the proposed method approves feasibility and accuracy. In the end, draws a conclusion and discusses open issues.
{"title":"Research on the Fusion of Classification Management and Attribute Reduction Algorithm for College Students*","authors":"Chunming Xu, Qiang Lin, Can Wang, Nan Yang, Dong Xu, Congwen Wang","doi":"10.1109/ICCSNT50940.2020.9305013","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9305013","url":null,"abstract":"Taking consideration of the particularity of the college student group, this paper proposes to apply attribute reduction for classification management of students, which provides valuable reference for student workers. This paper firstly focuses on the classification of attributes, applies equivalent class for attribute reduction, puts forward judging theorems of core attributes with demonstration; secondly, it proposes an algorithm of attribute reduction and applies it to classification management of college students for the first time by establishing a binary tree with attributes; subsequently, we discuss the time complexity, the time complexity of reduction is reduced to polynomial level for the first time. Comparing with other algorithms on runtime and ability of classification, experimental results show that the proposed method approves feasibility and accuracy. In the end, draws a conclusion and discusses open issues.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"26 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76209298","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304998
Li Xiaoning, L. Xiaofeng
This paper will briefly introduce the basic situation of smart application teaching method, focusing on the analysis of the application of smart application teaching method with Fishbone Diagram in MOOC, mainly studying the content-based teaching method on the impact of MOOC, in order to help the further development of smart application teaching method and MOOC teaching. The influence of several teaching elements on teaching effect is put forward. In this paper, the combination optimization method and covariance are used to improve the overall layout and interactive mode of MOOC teaching from the aspects of completion degree, number of users, number of visits, number of assignments completed, etc. through the comparison of the results, the efficiency of MOOC teaching is improved, and corresponding exploration is made for the optimization of MOOC teaching.
{"title":"Service Creation and Management Aspects on MOOC","authors":"Li Xiaoning, L. Xiaofeng","doi":"10.1109/ICCSNT50940.2020.9304998","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304998","url":null,"abstract":"This paper will briefly introduce the basic situation of smart application teaching method, focusing on the analysis of the application of smart application teaching method with Fishbone Diagram in MOOC, mainly studying the content-based teaching method on the impact of MOOC, in order to help the further development of smart application teaching method and MOOC teaching. The influence of several teaching elements on teaching effect is put forward. In this paper, the combination optimization method and covariance are used to improve the overall layout and interactive mode of MOOC teaching from the aspects of completion degree, number of users, number of visits, number of assignments completed, etc. through the comparison of the results, the efficiency of MOOC teaching is improved, and corresponding exploration is made for the optimization of MOOC teaching.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"45 1","pages":"139-142"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86927707","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304985
Pei Ma, Feng Yu, Changlong Zhou, Minghua Jiang
Fire is one of the disasters against the Safety of human life and property. Generally, early smoke features are more obvious than fire in the surveillance environment. However, due to the variability of smoke characteristics (e.g., color, shape) and the interference of smoke-like objects (e.g., clouds, rivulet, and fog), the main challenge of smoke detection is false alarms in real-world. To tackle this problem, an integrated method is proposed which combines HSV color space, background subtraction with Faster R-CNN. This method can enhance smoke feature, meanwhile, it can reduce disturbance from smoke-like objects. Furthermore, a dataset is created which are collected from surveillance cameras that are installed in the wild. Our experiments show that the integrated method is more accurate and robust than previous work.
{"title":"An Integrated Smoke Detection Method based on Convolutional Neural Network and Image Processing","authors":"Pei Ma, Feng Yu, Changlong Zhou, Minghua Jiang","doi":"10.1109/ICCSNT50940.2020.9304985","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304985","url":null,"abstract":"Fire is one of the disasters against the Safety of human life and property. Generally, early smoke features are more obvious than fire in the surveillance environment. However, due to the variability of smoke characteristics (e.g., color, shape) and the interference of smoke-like objects (e.g., clouds, rivulet, and fog), the main challenge of smoke detection is false alarms in real-world. To tackle this problem, an integrated method is proposed which combines HSV color space, background subtraction with Faster R-CNN. This method can enhance smoke feature, meanwhile, it can reduce disturbance from smoke-like objects. Furthermore, a dataset is created which are collected from surveillance cameras that are installed in the wild. Our experiments show that the integrated method is more accurate and robust than previous work.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"2014 1","pages":"32-36"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86821141","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304992
Huirong Li, Xuefeng Zhang, Hong Liu
This paper combines the principle of two degrees of freedom with internal model PID control, and designs an internal model PID controller based on two degrees of freedom, which is applied in the aeration system of sewage treatment to control the concentration of dissolved oxygen. Through the comparison and Simulation of MATLAB, it is proved that the controller makes the actual output value of dissolved oxygen concentration track the set value rapidly, it overcomes the adverse effect caused by the model mismatch of dissolved oxygen concentration control, it optimizes the target tracking performance and anti-interference performance in the dissolved oxygen control of the aeration system, it improves the control effect, and it has important use value.
{"title":"Application of New Control Strategy in Aeration System of Sewage Treatment","authors":"Huirong Li, Xuefeng Zhang, Hong Liu","doi":"10.1109/ICCSNT50940.2020.9304992","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304992","url":null,"abstract":"This paper combines the principle of two degrees of freedom with internal model PID control, and designs an internal model PID controller based on two degrees of freedom, which is applied in the aeration system of sewage treatment to control the concentration of dissolved oxygen. Through the comparison and Simulation of MATLAB, it is proved that the controller makes the actual output value of dissolved oxygen concentration track the set value rapidly, it overcomes the adverse effect caused by the model mismatch of dissolved oxygen concentration control, it optimizes the target tracking performance and anti-interference performance in the dissolved oxygen control of the aeration system, it improves the control effect, and it has important use value.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"20 1","pages":"171-175"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79349794","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 : 2020-11-20DOI: 10.1109/ICCSNT50940.2020.9304981
Zuchun Ding, Wenying Mo
For vehicle surveillance and communication control in ITS, it's very important to recognize the vehicle type and sub-type. The algorithm based on lamp pairs distance and lamp shape is proposed in this paper. In this method the distribution of vehicle lamps are retrieved in preprocessing, then lamp type table (LTT) is calculated according to the lamp pairs distance. Because the lamp pairs and the lamp contour are intrinsic attributions of every type of automobiles, this algorithm uses these composite features to recognize the vehicle type and sub-type. We use the associated light pairs distance and contour information to recognize the vehicle type and sub-type. Experiments verified the satisfied effect of this algorithm. In the experiments a huge amount of vehicle surveillance images are utilized to recognize vehicle type and sub-type and test the accuracy of recognition.
{"title":"Vehicle Type and Sub-type Recognition by Lamp Pairs Distance and Lamp Contour in ITS","authors":"Zuchun Ding, Wenying Mo","doi":"10.1109/ICCSNT50940.2020.9304981","DOIUrl":"https://doi.org/10.1109/ICCSNT50940.2020.9304981","url":null,"abstract":"For vehicle surveillance and communication control in ITS, it's very important to recognize the vehicle type and sub-type. The algorithm based on lamp pairs distance and lamp shape is proposed in this paper. In this method the distribution of vehicle lamps are retrieved in preprocessing, then lamp type table (LTT) is calculated according to the lamp pairs distance. Because the lamp pairs and the lamp contour are intrinsic attributions of every type of automobiles, this algorithm uses these composite features to recognize the vehicle type and sub-type. We use the associated light pairs distance and contour information to recognize the vehicle type and sub-type. Experiments verified the satisfied effect of this algorithm. In the experiments a huge amount of vehicle surveillance images are utilized to recognize vehicle type and sub-type and test the accuracy of recognition.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"113 1","pages":"134-138"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80733131","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 : 2020-11-20DOI: 10.1109/iccsnt50940.2020.9304977
Zhenguang Liang, Yuze Jiang
Corona discharge is a common phenomenon in high voltage direct current (HVDC) transmission lines. It generates ion flow and space charge in the air. Electric field under HVDC transmission lines is enlarged. Based on the Kaptzov assumption, electric field is calculated by the upstream finite element method. Factors influencing electric field are analyzed.
{"title":"Calculation of Electric Field Under High Voltage Direct Current Transmission Lines by the Upstream Finite Element Method","authors":"Zhenguang Liang, Yuze Jiang","doi":"10.1109/iccsnt50940.2020.9304977","DOIUrl":"https://doi.org/10.1109/iccsnt50940.2020.9304977","url":null,"abstract":"Corona discharge is a common phenomenon in high voltage direct current (HVDC) transmission lines. It generates ion flow and space charge in the air. Electric field under HVDC transmission lines is enlarged. Based on the Kaptzov assumption, electric field is calculated by the upstream finite element method. Factors influencing electric field are analyzed.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"64 1","pages":"46-49"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81486482","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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