Pub Date : 2019-11-01DOI: 10.2991/pntim-19.2019.90
Liu Qing, Tang Wei, Liu Xu
The data exchange processing technology in the grid communication data technology system can be calculated for scenarios with real-time analysis requirements. It has the characteristics of real-time calculation, low latency and high scalability, and provides a new idea for solving the problem of exchange and sharing of grid communication data. Therefore, the data real-time exchange processing technology in the paper is applied to grid communication data exchange problem, and the semantic similarity calculation is combined to realize a data exchange strategy without uniform data standard, and the architecture model of supporting platform is designed to provide reference for the exchange and sharing of grid
{"title":"Research on Real-Time Exchange Strategy Model Based on Grid Communication Data","authors":"Liu Qing, Tang Wei, Liu Xu","doi":"10.2991/pntim-19.2019.90","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.90","url":null,"abstract":"The data exchange processing technology in the grid communication data technology system can be calculated for scenarios with real-time analysis requirements. It has the characteristics of real-time calculation, low latency and high scalability, and provides a new idea for solving the problem of exchange and sharing of grid communication data. Therefore, the data real-time exchange processing technology in the paper is applied to grid communication data exchange problem, and the semantic similarity calculation is combined to realize a data exchange strategy without uniform data standard, and the architecture model of supporting platform is designed to provide reference for the exchange and sharing of grid","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166365","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 modeling of network intrusion detection is an important network security protection technology. The current network intrusion detection model can not accurately describe the intrusion behavior, resulting in incomplete network intrusion detection. Therefore, a network intrusion detection model based on machine learning algorithm was designed. In addition, support vector machine (SVM) fits the mapping relationship between network intrusion detection characteristics and network intrusion behavior, and established a network intrusion detection model that reflected the relationship between the two aspects. Finally, the experimental results showed that the model not only can accurately identify the network intrusion behavior, but also has a very fast detection speed. It has obtained better network intrusion detection results than other models, and had a wide application prospect. Keywords-Network Intrusion Detection; Machine Learning; SVM; Network Security
{"title":"Construction and Application of Machine Learning Model in Network Intrusion Detection","authors":"Qi Guanglei, Chen Zhijiang, Zhao Haiying, Wu Chensheng","doi":"10.2991/pntim-19.2019.83","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.83","url":null,"abstract":"The modeling of network intrusion detection is an important network security protection technology. The current network intrusion detection model can not accurately describe the intrusion behavior, resulting in incomplete network intrusion detection. Therefore, a network intrusion detection model based on machine learning algorithm was designed. In addition, support vector machine (SVM) fits the mapping relationship between network intrusion detection characteristics and network intrusion behavior, and established a network intrusion detection model that reflected the relationship between the two aspects. Finally, the experimental results showed that the model not only can accurately identify the network intrusion behavior, but also has a very fast detection speed. It has obtained better network intrusion detection results than other models, and had a wide application prospect. Keywords-Network Intrusion Detection; Machine Learning; SVM; Network Security","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133611226","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.85
Yilin Shen
The structure of biomass direct fired boiler differs greatly from that of common fuel powder boiler, so the difference of operation process is great, which will inevitably lead to the difference of operation regulation law. Therefore, it is very important to analyze its technological process and combustion process in detail. All data were analyzed by SPSS17.0. We used the IBM SPSS Modeler 14.1data software to carry out modeling and prediction. The results show that there are 100 neurons in hidden layer and the area under the curve. The model accuracy, sensitivity and specific is 91.96%, 81.22% and 93.77%. Through validation data set validating, the model accuracy, sensitivity and specific is 92.15%, 80.32% and 94.01%. Therefore working process of biomass combustion boiler could accurately predict by MLP neural network model based on characteristics as the input layer variables of prediction model. Keywords-Prediction Control; Multilayer Perceptron; Neural Network;Working Process; Biomass Combustion Boiler
{"title":"Prediction Control of Biomass Combustion Boiler based on Multilayer Perceptron Neural Network","authors":"Yilin Shen","doi":"10.2991/pntim-19.2019.85","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.85","url":null,"abstract":"The structure of biomass direct fired boiler differs greatly from that of common fuel powder boiler, so the difference of operation process is great, which will inevitably lead to the difference of operation regulation law. Therefore, it is very important to analyze its technological process and combustion process in detail. All data were analyzed by SPSS17.0. We used the IBM SPSS Modeler 14.1data software to carry out modeling and prediction. The results show that there are 100 neurons in hidden layer and the area under the curve. The model accuracy, sensitivity and specific is 91.96%, 81.22% and 93.77%. Through validation data set validating, the model accuracy, sensitivity and specific is 92.15%, 80.32% and 94.01%. Therefore working process of biomass combustion boiler could accurately predict by MLP neural network model based on characteristics as the input layer variables of prediction model. Keywords-Prediction Control; Multilayer Perceptron; Neural Network;Working Process; Biomass Combustion Boiler","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066484","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.31
Han Zhao, Cao Wei, W. Dong, Ruan Shaolong
In order to prevent the catastrophic accidents caused by the failure of the reducer, based on virtual technology such as CAD/CAE and Solidworks, the friction and vibration testing device of planetary gear reducer was designed, and the weak links of the transmission device were found out, its life and working efficiency has also been improved. In addition, in order to judge the correctness of the design of planetary gear reducer transmission device and optimized the design process of the reducer, Solidworks was used to build the three-dimensional model of the test bench and Adams was used to simulate the motion of the planetary gearbox transmission system. Keywords-Optimization Design; Test Bench; Reducer; Dynamics Analysis
{"title":"Design and Dynamic Simulation of Friction - Vibration Test Rig for Planetary Gearbox","authors":"Han Zhao, Cao Wei, W. Dong, Ruan Shaolong","doi":"10.2991/pntim-19.2019.31","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.31","url":null,"abstract":"In order to prevent the catastrophic accidents caused by the failure of the reducer, based on virtual technology such as CAD/CAE and Solidworks, the friction and vibration testing device of planetary gear reducer was designed, and the weak links of the transmission device were found out, its life and working efficiency has also been improved. In addition, in order to judge the correctness of the design of planetary gear reducer transmission device and optimized the design process of the reducer, Solidworks was used to build the three-dimensional model of the test bench and Adams was used to simulate the motion of the planetary gearbox transmission system. Keywords-Optimization Design; Test Bench; Reducer; Dynamics Analysis","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115093407","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.59
Yan Fuli, Hou Xingzhe
Line loss can be divided into statistical line loss, technical line loss and management line loss according to structure. It not only refers to the energy loss in the form of heat energy, but also the management line loss caused by the electricity stealing behavior [1]. The calculation of power system line loss and the realization of system lean management are of great significance in guiding the reduction of energy conservation and the promotion of line loss management. To this end, in-depth analysis of the massive user data accumulated in the marketing automation process of the electricity information system in recent years, so as to establish a reasonable and efficient mathematical model of line loss analysis. By mining the useful information behind these data in smart electric meter, the abnormal power usage behavior detection of the user is realized, so as to achieve the purpose of preventing electric larceny and leakage and thereby reducing the line loss. This paper proposes a layer-based power line electric larceny detection method based on data mining technology .This method optimizes the traditional LOF algorithm and is a weighted LOF algorithm. By performing weighted outlier analysis on massive user data, the location of abnormal power users can be more efficiently completed. Keywords-Component Management Line Loss, Data Mining; Layer-Based Analysis; Weighted LOF Algorithm; Outlier Analysis; Abnormal User Location
{"title":"Research on Smart Electric Meter Data Mining Technology Method for Line Loss Diagnosis of Low Voltage Station Area","authors":"Yan Fuli, Hou Xingzhe","doi":"10.2991/pntim-19.2019.59","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.59","url":null,"abstract":"Line loss can be divided into statistical line loss, technical line loss and management line loss according to structure. It not only refers to the energy loss in the form of heat energy, but also the management line loss caused by the electricity stealing behavior [1]. The calculation of power system line loss and the realization of system lean management are of great significance in guiding the reduction of energy conservation and the promotion of line loss management. To this end, in-depth analysis of the massive user data accumulated in the marketing automation process of the electricity information system in recent years, so as to establish a reasonable and efficient mathematical model of line loss analysis. By mining the useful information behind these data in smart electric meter, the abnormal power usage behavior detection of the user is realized, so as to achieve the purpose of preventing electric larceny and leakage and thereby reducing the line loss. This paper proposes a layer-based power line electric larceny detection method based on data mining technology .This method optimizes the traditional LOF algorithm and is a weighted LOF algorithm. By performing weighted outlier analysis on massive user data, the location of abnormal power users can be more efficiently completed. Keywords-Component Management Line Loss, Data Mining; Layer-Based Analysis; Weighted LOF Algorithm; Outlier Analysis; Abnormal User Location","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115575962","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.73
Wu Di, Pan Jianqiao, Pan Bailang, Gu Guodong
Inspection work in substation is one of the normalization work of operation and maintenance in State Grid Corporation substation, and it is also one of the important means to timely discover the obvious and invisible defects of equipment, which plays an vital role in preventing accidents and ensuring the safe and stable operation of equipment. Therefore, Microsoft's HoloLens is applied to the field of equipment detection and intelligent analysis on power system intelligent inspection in this paper. Since HoloLens can be controlled through the voice, hands of inspectors can be freed. Moreover, real-time data uploading and downloading through HoloLens breaks through the obstacles for experts to effectively obtain real-time data on the spot, and the real-time data display technology of virtual video in intelligent substation as well as expert remote diagnosis functionis realized, which contributes to improving the automation level of intelligent substation inspection. Keywords-Hololens; Power Grid Intelligent Inspection; Virtual Video
{"title":"HoloLens-Based Power Grid Intelligent Inspection System","authors":"Wu Di, Pan Jianqiao, Pan Bailang, Gu Guodong","doi":"10.2991/pntim-19.2019.73","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.73","url":null,"abstract":"Inspection work in substation is one of the normalization work of operation and maintenance in State Grid Corporation substation, and it is also one of the important means to timely discover the obvious and invisible defects of equipment, which plays an vital role in preventing accidents and ensuring the safe and stable operation of equipment. Therefore, Microsoft's HoloLens is applied to the field of equipment detection and intelligent analysis on power system intelligent inspection in this paper. Since HoloLens can be controlled through the voice, hands of inspectors can be freed. Moreover, real-time data uploading and downloading through HoloLens breaks through the obstacles for experts to effectively obtain real-time data on the spot, and the real-time data display technology of virtual video in intelligent substation as well as expert remote diagnosis functionis realized, which contributes to improving the automation level of intelligent substation inspection. Keywords-Hololens; Power Grid Intelligent Inspection; Virtual Video","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663560","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.61
Cheng Wen, Cao Yan, Fan QingMing, Shen Bing
The research object of this paper is a kind of carbon fiber composite material that is used in a special UAV in a certain marine area. The purpose of the research is to understand the material properties of this composite in extreme hot and humid environments. First of all, this material was subjected to a 24-hour cycle damp heat test that lasted sixty days. The test temperature was 70°C and the relative humidity is 85%. The results of the damp heat test basically reflected the hygroscopic property of the composite material accorded with Fick's first law. Secondly, since the components of the UAV structure that use this material are primarily subjected to bending loads, three-point bending tests were conducted with the specimens subjected to different stages of damp heat tests. Finally, the decay of the bending properties of this composite material in the hygrothermal condition was obtained by the experimental data analysis, which provides technical support for its applications in engineering. Keywords-Carbon Fiber Composite Material; Damp Heat Test; Hygroscopic Property; Three-Point Bending Test
{"title":"Study on the Moisture Absorption and Bending of Carbon Fiber Composite Material","authors":"Cheng Wen, Cao Yan, Fan QingMing, Shen Bing","doi":"10.2991/pntim-19.2019.61","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.61","url":null,"abstract":"The research object of this paper is a kind of carbon fiber composite material that is used in a special UAV in a certain marine area. The purpose of the research is to understand the material properties of this composite in extreme hot and humid environments. First of all, this material was subjected to a 24-hour cycle damp heat test that lasted sixty days. The test temperature was 70°C and the relative humidity is 85%. The results of the damp heat test basically reflected the hygroscopic property of the composite material accorded with Fick's first law. Secondly, since the components of the UAV structure that use this material are primarily subjected to bending loads, three-point bending tests were conducted with the specimens subjected to different stages of damp heat tests. Finally, the decay of the bending properties of this composite material in the hygrothermal condition was obtained by the experimental data analysis, which provides technical support for its applications in engineering. Keywords-Carbon Fiber Composite Material; Damp Heat Test; Hygroscopic Property; Three-Point Bending Test","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000533","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.77
Dou Li, Li Li
{"title":"Evaluation of Open Utilization of Digital Archives Information System","authors":"Dou Li, Li Li","doi":"10.2991/pntim-19.2019.77","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.77","url":null,"abstract":"","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121947497","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.72
Z. Fan
With the continuous improvement of technological innovation in construction industry, intelligent building management on the internal environment of the building is also realized. Through the simulation analysis of the building thermal environment, comprehensive reflection on the influence characteristics of the various disturbances under the thermal inertia of the envelope structure is shown in this paper. Based on the bi-linear simulation analysis method, optimal construction method for the temperature regulation of the heat supply end in heating system is explored for the first time, and the application and effect of the optimized construction method is analyzed through specific cases. Therefore, research in this paper has strong engineering application value for optimizing the operation regulation and promoting energy saving in heating system. Keywords-Bi-linear Control; Intelligent Building; Constant Temperature Control
{"title":"Indoor Constant Temperature Control Method of Intelligent Building Based on Bi-linear Control Algorithm","authors":"Z. Fan","doi":"10.2991/pntim-19.2019.72","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.72","url":null,"abstract":"With the continuous improvement of technological innovation in construction industry, intelligent building management on the internal environment of the building is also realized. Through the simulation analysis of the building thermal environment, comprehensive reflection on the influence characteristics of the various disturbances under the thermal inertia of the envelope structure is shown in this paper. Based on the bi-linear simulation analysis method, optimal construction method for the temperature regulation of the heat supply end in heating system is explored for the first time, and the application and effect of the optimized construction method is analyzed through specific cases. Therefore, research in this paper has strong engineering application value for optimizing the operation regulation and promoting energy saving in heating system. Keywords-Bi-linear Control; Intelligent Building; Constant Temperature Control","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125443173","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.42
Zhang Yang, Yi Huahui, Zhang Ruijie
The study of vulnerability is an important basis for the evaluation of warfare damage in China's weapons and equipment, and it is also an important part of the research on the viability of weapons and equipment in China. In this paper, according to the damage level principle of the aircraft, the damage level of the multi-functional military cabin truck is established. Then we used the damage tree analysis method and Solid works 3D software to construct an equivalent damage model, and identified the key parts and weak points of the cabin car. This will have certain reference application value for further research on the vulnerability and equivalent target of multi-functional military cabins. Keywords-Military Cabin Truck; Vulnerability; Damage Tree Analysis Method; Solidworks Modeling
{"title":"Research on Vulnerability of Multifunctional Military Cabin","authors":"Zhang Yang, Yi Huahui, Zhang Ruijie","doi":"10.2991/pntim-19.2019.42","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.42","url":null,"abstract":"The study of vulnerability is an important basis for the evaluation of warfare damage in China's weapons and equipment, and it is also an important part of the research on the viability of weapons and equipment in China. In this paper, according to the damage level principle of the aircraft, the damage level of the multi-functional military cabin truck is established. Then we used the damage tree analysis method and Solid works 3D software to construct an equivalent damage model, and identified the key parts and weak points of the cabin car. This will have certain reference application value for further research on the vulnerability and equivalent target of multi-functional military cabins. Keywords-Military Cabin Truck; Vulnerability; Damage Tree Analysis Method; Solidworks Modeling","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"38 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120850831","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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