In view of the need of automatic detection of weld defects, an automatic extraction and classification algorithm for welding defect features based on convolution neural network is proposed. The algorithm directly takes the preprocessed weld images as the input and the welding defect type as the output, effectively avoiding the adverse effect of artificial identification subjective experience on the detection results. The experimental results show that the welding defect identification technology based on convolution neural network has a good identification rate and can provide an important reference for the research of welding quality detection.
{"title":"Identification of X-ray Weld Defects under Artificial Intelligence Framework","authors":"Xiao-xing Feng, Weixin Gao, Zheng Wang, Xiao-meng Wu","doi":"10.1109/ICMCCE51767.2020.00261","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00261","url":null,"abstract":"In view of the need of automatic detection of weld defects, an automatic extraction and classification algorithm for welding defect features based on convolution neural network is proposed. The algorithm directly takes the preprocessed weld images as the input and the welding defect type as the output, effectively avoiding the adverse effect of artificial identification subjective experience on the detection results. The experimental results show that the welding defect identification technology based on convolution neural network has a good identification rate and can provide an important reference for the research of welding quality detection.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"1 1","pages":"1186-1189"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85539299","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00491
Li Xiaolei, Zheng Lilan, Li Jun, Liu Xingyu
In order to overcome the shortcomings of the classical fast non-dominated sorting genetic algorithm with elitist strategy (NSGA-II), such as the uneven pareto front distribution and poor distribution in local congested areas, an improved NSGA-II algorithm based on adaptive hierarchical retention and interval population expansion strategies is proposed. At the early stage of the population evolution, an adaptive hierarchical retention strategy is applied to replace the exclusion mechanism to get an expanded range of individuals selection and improve the diversity of the population. At the last stage of the population evolution, an interval population expansion strategy is provided to expand the contemporary optimal frontier individuals to reduce the sparsity of the swarm distribution aiming to improve the comprehensive performance of the population. The experiment results based on six selected benchmark functions show that the proposed algorithm gets a better convergence and is superior to the compared algorithms in the terms of comprehensive and distribution values.
{"title":"Improved NSGA-II with Hierarchical Retention and Interval Population Expansion","authors":"Li Xiaolei, Zheng Lilan, Li Jun, Liu Xingyu","doi":"10.1109/ICMCCE51767.2020.00491","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00491","url":null,"abstract":"In order to overcome the shortcomings of the classical fast non-dominated sorting genetic algorithm with elitist strategy (NSGA-II), such as the uneven pareto front distribution and poor distribution in local congested areas, an improved NSGA-II algorithm based on adaptive hierarchical retention and interval population expansion strategies is proposed. At the early stage of the population evolution, an adaptive hierarchical retention strategy is applied to replace the exclusion mechanism to get an expanded range of individuals selection and improve the diversity of the population. At the last stage of the population evolution, an interval population expansion strategy is provided to expand the contemporary optimal frontier individuals to reduce the sparsity of the swarm distribution aiming to improve the comprehensive performance of the population. The experiment results based on six selected benchmark functions show that the proposed algorithm gets a better convergence and is superior to the compared algorithms in the terms of comprehensive and distribution values.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"45 1","pages":"2269-2273"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78527657","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00316
Wang Shenghui, Liang Hanbing
Based on particle swarm optimization (PSO), the algorithm for selecting appropriate K values is improved by combining k-mean algorithm. When the algorithm converges, the expansion and reduction of K value can be determined by comparing the relationship between different K value selection and global optimal fitness. Experiments show that the improved algorithm can assist K value selection effectively and obtain a better clustering effect.
{"title":"Adaptive K-valued K-means clustering algorithm","authors":"Wang Shenghui, Liang Hanbing","doi":"10.1109/ICMCCE51767.2020.00316","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00316","url":null,"abstract":"Based on particle swarm optimization (PSO), the algorithm for selecting appropriate K values is improved by combining k-mean algorithm. When the algorithm converges, the expansion and reduction of K value can be determined by comparing the relationship between different K value selection and global optimal fitness. Experiments show that the improved algorithm can assist K value selection effectively and obtain a better clustering effect.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"9 1","pages":"1442-1445"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78548004","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00128
Guo Xiaolei
In view of the problems of high energy consumption and low utilization rate of electric drive air compressor in industrial compressed air system, taking the compressor station of centrifugal compressor driven by PGT25+ gas turbine in long-distance natural gas pipeline as an example, the PGT25+ gas turbine simulation model was established by using three-dimensional CFD numerical simulation software, and the performance changes of gas turbine caused by compressor extraction were analyzed. Through calculation and analysis, it is found that the use rate of the existing station air compressor can be reduced by using gas turbine for compressed air in station, but the performance of gas turbine will be affected to a certain extent. Compared with the existing air compressor energy consumption, it does not have an advantage in economy. However, the influence of the maintenance, spare parts procurement, power supply and technical blockade of the existing electric drive air compressor in the existing station can be comprehensively considered, and the technical transformation can be carried out according to the situation.
{"title":"Performance Analysis of Gas Turbine Using Compressor Extraction in Compressed Air System of Station","authors":"Guo Xiaolei","doi":"10.1109/ICMCCE51767.2020.00128","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00128","url":null,"abstract":"In view of the problems of high energy consumption and low utilization rate of electric drive air compressor in industrial compressed air system, taking the compressor station of centrifugal compressor driven by PGT25+ gas turbine in long-distance natural gas pipeline as an example, the PGT25+ gas turbine simulation model was established by using three-dimensional CFD numerical simulation software, and the performance changes of gas turbine caused by compressor extraction were analyzed. Through calculation and analysis, it is found that the use rate of the existing station air compressor can be reduced by using gas turbine for compressed air in station, but the performance of gas turbine will be affected to a certain extent. Compared with the existing air compressor energy consumption, it does not have an advantage in economy. However, the influence of the maintenance, spare parts procurement, power supply and technical blockade of the existing electric drive air compressor in the existing station can be comprehensively considered, and the technical transformation can be carried out according to the situation.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"65 1","pages":"563-573"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77029130","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 : 2020-12-01DOI: 10.1109/icmcce51767.2020.00347
Q. Li
Aiming at the development status of the tourism industry under the background of "Internet +" and combining the problems of tourism industry integration management, this article proposes to strengthen the construction of smart systems, improve the network tourism management system, do a good job in the cultivation of compound tourism talents, and optimize the market through research. This paper mainly discusses the investment mechanism system, broadening marketing and operation methods and other solutions. The author's purpose is to improve the application effect of "Internet + Tourism" and promote the rapid development of local tourism industry economy.
{"title":"Research on Integrated Management Development of Tourism Industry under the Background of \"Internet+\"","authors":"Q. Li","doi":"10.1109/icmcce51767.2020.00347","DOIUrl":"https://doi.org/10.1109/icmcce51767.2020.00347","url":null,"abstract":"Aiming at the development status of the tourism industry under the background of \"Internet +\" and combining the problems of tourism industry integration management, this article proposes to strengthen the construction of smart systems, improve the network tourism management system, do a good job in the cultivation of compound tourism talents, and optimize the market through research. This paper mainly discusses the investment mechanism system, broadening marketing and operation methods and other solutions. The author's purpose is to improve the application effect of \"Internet + Tourism\" and promote the rapid development of local tourism industry economy.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"26 1","pages":"1586-1589"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82447925","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00157
Z. Yang, F. Zhang, Dingbin Shen, Ming Wang, Dan Zhou, Wei Tong
The fire safety of offshore booster station has an extremely important impact on the reliable operation of the whole offshore wind farm. The article establishes the corresponding fire protection scheme around the offshore wind turbine group, offshore booster station and the on-land central control center of the offshore wind farm. Among them, each offshore wind turbine, offshore booster station and onshore centralized control center are equipped with independent fire alarm systems. The inspiratory smoke detector and point type composite smoke and temperature detector are mainly used to confirm the secondary alarm. At the same time, the fire extinguishing systems of offshore wind turbines, offshore booster stations and on-land control centers are: high-pressure CO2 fire extinguishing system, fine water mist fire extinguishing system and water spray fire extinguishing system. Finally, combined with an engineering case, the fire protection scheme of an offshore wind farm is designed.
{"title":"Design of High Reliability Control Strategy for Automatic Fire Protection System of Offshore Booster Station","authors":"Z. Yang, F. Zhang, Dingbin Shen, Ming Wang, Dan Zhou, Wei Tong","doi":"10.1109/ICMCCE51767.2020.00157","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00157","url":null,"abstract":"The fire safety of offshore booster station has an extremely important impact on the reliable operation of the whole offshore wind farm. The article establishes the corresponding fire protection scheme around the offshore wind turbine group, offshore booster station and the on-land central control center of the offshore wind farm. Among them, each offshore wind turbine, offshore booster station and onshore centralized control center are equipped with independent fire alarm systems. The inspiratory smoke detector and point type composite smoke and temperature detector are mainly used to confirm the secondary alarm. At the same time, the fire extinguishing systems of offshore wind turbines, offshore booster stations and on-land control centers are: high-pressure CO2 fire extinguishing system, fine water mist fire extinguishing system and water spray fire extinguishing system. Finally, combined with an engineering case, the fire protection scheme of an offshore wind farm is designed.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"18 1","pages":"712-716"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81869624","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 : 2020-12-01DOI: 10.1109/icmcce51767.2020.00099
Jun Zhang, Gang Xiao, Guoqing Wang
Aiming to reduce the uncertainty of the trajectory of Continuous Descend Operations (CDO) in high-density airspace, it is necessary to design a constrained speed profile during the CDO procedures, and use 4-Dimensional (4D) trajectory prediction and flight speed adjustment technology to meet the constraints on both space and time. This paper presents a large aircraft real-time flight trajectory management strategy based on 4D trajectory under multi-constraint conditions. To improve the prediction accuracy of the feasible Controlled Time of Arrival (CTA) window, a calculation method based on aircraft performance data and aircraft intention model is proposed. Finally, a dynamic en-route speed adjustment strategy based on the aircraft kinematics model is proposed, and the optimal flight profile and the required time of arrival objectives of the CDO are achieved with the performance-based airspace and CTA procedures. To demonstrate the validation of the algorithms given in the paper, the fast-time simulation based on a type of domestically-made aircraft is operated by the MATLAB platform. The simulation results verified that the real-time trajectory management algorithms and dynamic en-route speed profile adjustment strategy proposed in this paper could provide a precise flight speed control capability oriented to timing arrival for airlines.
{"title":"Dynamic En-route Speed Profile Adjustment Strategy Design for Continuous Descend Operations Based on 4D Trajectory","authors":"Jun Zhang, Gang Xiao, Guoqing Wang","doi":"10.1109/icmcce51767.2020.00099","DOIUrl":"https://doi.org/10.1109/icmcce51767.2020.00099","url":null,"abstract":"Aiming to reduce the uncertainty of the trajectory of Continuous Descend Operations (CDO) in high-density airspace, it is necessary to design a constrained speed profile during the CDO procedures, and use 4-Dimensional (4D) trajectory prediction and flight speed adjustment technology to meet the constraints on both space and time. This paper presents a large aircraft real-time flight trajectory management strategy based on 4D trajectory under multi-constraint conditions. To improve the prediction accuracy of the feasible Controlled Time of Arrival (CTA) window, a calculation method based on aircraft performance data and aircraft intention model is proposed. Finally, a dynamic en-route speed adjustment strategy based on the aircraft kinematics model is proposed, and the optimal flight profile and the required time of arrival objectives of the CDO are achieved with the performance-based airspace and CTA procedures. To demonstrate the validation of the algorithms given in the paper, the fast-time simulation based on a type of domestically-made aircraft is operated by the MATLAB platform. The simulation results verified that the real-time trajectory management algorithms and dynamic en-route speed profile adjustment strategy proposed in this paper could provide a precise flight speed control capability oriented to timing arrival for airlines.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"25 1","pages":"422-427"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87134767","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00361
Min Zhao
With the continuous development of information technology, information management has been more and more applied in all aspects of production and life. Because of the complexity and universality of ideological and political education, it is very important to use science and technology and information management to relieve the pressure of research and improve the accuracy of data. Information technology infuses the power of science and technology into the research of ideological and political education, provides technical support, and plays an important role in the teaching mode of teachers. All levels of ideological and political education should start to set up information management thinking, so as to help the ideological and political research to get in-depth development. Researchers should quickly master the application of information technology and explore the path choice and value of ideological and political education research methods.
{"title":"Research on the Value and Path of Innovative Research Methods of Ideological and Political Education in the Context of Information Technology","authors":"Min Zhao","doi":"10.1109/ICMCCE51767.2020.00361","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00361","url":null,"abstract":"With the continuous development of information technology, information management has been more and more applied in all aspects of production and life. Because of the complexity and universality of ideological and political education, it is very important to use science and technology and information management to relieve the pressure of research and improve the accuracy of data. Information technology infuses the power of science and technology into the research of ideological and political education, provides technical support, and plays an important role in the teaching mode of teachers. All levels of ideological and political education should start to set up information management thinking, so as to help the ideological and political research to get in-depth development. Researchers should quickly master the application of information technology and explore the path choice and value of ideological and political education research methods.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"102 1","pages":"1647-1650"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87904117","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 : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00457
Pengcheng Yang, Dan Hu, Congyi Wang, Yanxi Zhang, D. You, Xiangdong Gao, Nanfeng Zhang
It is of great significance to detect the weld surface to ensure welding quality. Aiming at the problem of weld surface defect detection and 3D reconstruction algorithm, a method of defect detection and three - dimensional reconstruction based on laser scanning 3D point cloud has been proposed. The method of BP neural network is used to filter the point cloud data obtained by laser displacement sensor scanning, and the result is qualitatively and quantitatively analyzed. The three-dimensional reconstruction model of pit defects on weld surface is established. The reconstructed error is within the allowable range. The experimental results show that applying BP neural network to weld defect detection can effectively reduce the complexity of 3D reconstruction and improve the accuracy of 3D reconstruction of weld surface.
{"title":"Weld Surface Imperfection Detection by 3D Reconstruction of Laser Displacement Sensing","authors":"Pengcheng Yang, Dan Hu, Congyi Wang, Yanxi Zhang, D. You, Xiangdong Gao, Nanfeng Zhang","doi":"10.1109/ICMCCE51767.2020.00457","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00457","url":null,"abstract":"It is of great significance to detect the weld surface to ensure welding quality. Aiming at the problem of weld surface defect detection and 3D reconstruction algorithm, a method of defect detection and three - dimensional reconstruction based on laser scanning 3D point cloud has been proposed. The method of BP neural network is used to filter the point cloud data obtained by laser displacement sensor scanning, and the result is qualitatively and quantitatively analyzed. The three-dimensional reconstruction model of pit defects on weld surface is established. The reconstructed error is within the allowable range. The experimental results show that applying BP neural network to weld defect detection can effectively reduce the complexity of 3D reconstruction and improve the accuracy of 3D reconstruction of weld surface.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"492 1","pages":"2102-2105"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88281367","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 : 2020-12-01DOI: 10.1109/icmcce51767.2020.00138
Zhonghao Xiong, Shoubao Liu, Yuan Fang, Yonglong Li, Jian Yang
The vehicle to grid (V2G) technology of electric vehicles brings a new direction to the load frequency control (LFC) of the microgrid. The research and development of microgrid technology can improve and accelerate the large-scale integration of distributed power and renewable energy into the grid system, and it is a key technology from traditional grid to smart grid. Through the “source-load” characteristics of electric vehicles, the feasibility of V2G technology participating in microgrid load frequency is analyzed. The working principle of diesel generator set (classic micro-grid generator system) and electric vehicle is described, and a general and accurate dynamic mathematical model of micro-grid load frequency control based on V2G technology is established. The established model provides a basis for the design and research of control strategies and algorithms for microgrid LFC problems based on V2G technology, and provides a theoretical basis for the development of microgrid technology and smart grid modeling.
{"title":"Research on Modeling of Microgrid Load Frequency Control Based on V2G Technology","authors":"Zhonghao Xiong, Shoubao Liu, Yuan Fang, Yonglong Li, Jian Yang","doi":"10.1109/icmcce51767.2020.00138","DOIUrl":"https://doi.org/10.1109/icmcce51767.2020.00138","url":null,"abstract":"The vehicle to grid (V2G) technology of electric vehicles brings a new direction to the load frequency control (LFC) of the microgrid. The research and development of microgrid technology can improve and accelerate the large-scale integration of distributed power and renewable energy into the grid system, and it is a key technology from traditional grid to smart grid. Through the “source-load” characteristics of electric vehicles, the feasibility of V2G technology participating in microgrid load frequency is analyzed. The working principle of diesel generator set (classic micro-grid generator system) and electric vehicle is described, and a general and accurate dynamic mathematical model of micro-grid load frequency control based on V2G technology is established. The established model provides a basis for the design and research of control strategies and algorithms for microgrid LFC problems based on V2G technology, and provides a theoretical basis for the development of microgrid technology and smart grid modeling.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"6 1","pages":"621-626"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88410304","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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