Pub Date : 2020-12-01DOI: 10.1109/ICMCCE51767.2020.00027
Zhiqiang Song
The rationalization of mechanical manufacturing processing technology can make the development of mechanical manufacturing more scientific and reasonable. In the process of promoting the development of mechanical manufacturing and processing, a good mechanical design and manufacturing is the key. Solving the problems in mechanical design and manufacturing can improve the efficiency of mechanical manufacturing and processing. At the same time, ensuring the quality of machinery manufacturing is to promote the steady development of China's machinery manufacturing industry. In the new era, as people's requirements for mechanical products increase, we must continuously optimize the rationality of the mechanical manufacturing process, which is an important task for the entire mechanical manufacturing and processing industry. We need to innovate and optimize the mechanical manufacturing process from multiple angles in the actual design and production process, and solve the problems in the mechanical manufacturing process in time. We can also optimize the machining technology and methods of machinery manufacturing, choose a processing mode that is more in line with the development of modern machinery manufacturing, choose a reasonable mechanical design plan, and then optimize the processing procedures and processes. Thereby, it not only can improve the quality of mechanical product production, but also it can provide conditions for promoting the sustainable development of China's major mechanical manufacturing and processing enterprises. Furthermore, it also can promote the development of the domestic mechanical manufacturing and processing industry.
{"title":"Research on Mechanical Design and Manufacturing of Rationalization of Machining Manufacturing Process","authors":"Zhiqiang Song","doi":"10.1109/ICMCCE51767.2020.00027","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00027","url":null,"abstract":"The rationalization of mechanical manufacturing processing technology can make the development of mechanical manufacturing more scientific and reasonable. In the process of promoting the development of mechanical manufacturing and processing, a good mechanical design and manufacturing is the key. Solving the problems in mechanical design and manufacturing can improve the efficiency of mechanical manufacturing and processing. At the same time, ensuring the quality of machinery manufacturing is to promote the steady development of China's machinery manufacturing industry. In the new era, as people's requirements for mechanical products increase, we must continuously optimize the rationality of the mechanical manufacturing process, which is an important task for the entire mechanical manufacturing and processing industry. We need to innovate and optimize the mechanical manufacturing process from multiple angles in the actual design and production process, and solve the problems in the mechanical manufacturing process in time. We can also optimize the machining technology and methods of machinery manufacturing, choose a processing mode that is more in line with the development of modern machinery manufacturing, choose a reasonable mechanical design plan, and then optimize the processing procedures and processes. Thereby, it not only can improve the quality of mechanical product production, but also it can provide conditions for promoting the sustainable development of China's major mechanical manufacturing and processing enterprises. Furthermore, it also can promote the development of the domestic mechanical manufacturing and processing industry.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"61 1","pages":"89-93"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80591377","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}
In order to solve the problem of reliability analysis in which the thermal warping deformation of the automobile brake disc presents an implicit complex nonlinear relationship with the design variables, a reliability analysis method of thermal warping deformation of brake disc based on AK-MCS method was proposed by combining Kriging model, active learning strategy and Monte Carlo Simulation. The Kriging model was used to construct the surrogate model of the thermal warping deformation performance function of the brake disc, and the continuous updating of the Kriging model was realized by establishing the learning function U. Based on this, Monte Carlo Simulation method was used to calculate the reliability of the thermal warping deformation of the brake disc, and the failure probability is 0.0035. The prediction accuracy of the Kriging model was tested and the results show that it meets the engineering requirements, so the reliability analysis results were proved to be efficient. The proposed method can be used for reference for the reliability analysis of automobile key parts.
{"title":"Reliability Analysis of Thermal Warping Deformation of Brake Disc Based on AK-MCS Method","authors":"Zining Wang, Zhenguo Zhang, Huanyang Zhao, Xianbing Chen, Shenghui Yuan, Shacheng Jin","doi":"10.1109/ICMCCE51767.2020.00103","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00103","url":null,"abstract":"In order to solve the problem of reliability analysis in which the thermal warping deformation of the automobile brake disc presents an implicit complex nonlinear relationship with the design variables, a reliability analysis method of thermal warping deformation of brake disc based on AK-MCS method was proposed by combining Kriging model, active learning strategy and Monte Carlo Simulation. The Kriging model was used to construct the surrogate model of the thermal warping deformation performance function of the brake disc, and the continuous updating of the Kriging model was realized by establishing the learning function U. Based on this, Monte Carlo Simulation method was used to calculate the reliability of the thermal warping deformation of the brake disc, and the failure probability is 0.0035. The prediction accuracy of the Kriging model was tested and the results show that it meets the engineering requirements, so the reliability analysis results were proved to be efficient. The proposed method can be used for reference for the reliability analysis of automobile key parts.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"105 1","pages":"442-446"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80717126","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/ICMCCE51767.2020.00351
Chang Rui-li, H. Jun, Cui Guo-wei, Zhang Lei
Abaqus finite element simulation technology and BP neural network and genetic algorithm are applied to the study on the optimization of the cutting parameters of the thin-walled ring gear. A simulation model of ring gear shaping was established by Abaqus finite element analysis software, a cutting force prediction model was built using BP neural network. With the help of the BP neural network and genetic algorithm function extreme value optimization feature, the gear ring gear shaping parameter optimization model was established, and the Abaqus simulation model was used to test it. The relevant slotting parameters, namely the slotting speed, the amount of back-cutting and the circumferential feed speed have been successfully optimized, and the slotting force has been reduced. The experimental results show that the parameter optimization model of ring gear shaping based on BP neural network and genetic algorithm can effectively realize the optimization of slotting parameters.
{"title":"Optimization of Gear Shaper Cutting Parameters Based on BP Neural Network and Genetic Algorithm","authors":"Chang Rui-li, H. Jun, Cui Guo-wei, Zhang Lei","doi":"10.1109/ICMCCE51767.2020.00351","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00351","url":null,"abstract":"Abaqus finite element simulation technology and BP neural network and genetic algorithm are applied to the study on the optimization of the cutting parameters of the thin-walled ring gear. A simulation model of ring gear shaping was established by Abaqus finite element analysis software, a cutting force prediction model was built using BP neural network. With the help of the BP neural network and genetic algorithm function extreme value optimization feature, the gear ring gear shaping parameter optimization model was established, and the Abaqus simulation model was used to test it. The relevant slotting parameters, namely the slotting speed, the amount of back-cutting and the circumferential feed speed have been successfully optimized, and the slotting force has been reduced. The experimental results show that the parameter optimization model of ring gear shaping based on BP neural network and genetic algorithm can effectively realize the optimization of slotting parameters.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"24 1","pages":"1602-1605"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83241949","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/ICMCCE51767.2020.00514
Hui Liu
Based on Python data processing technology, this study collects reader comments on the English translations of The Analects on the mainstream western social book platforms to construct a review database so as to analyze readers' emotional attitudes, recognition of the works' ideological values, focal dimensions of translation quality, gains and losses of word translation, and the reflected image of China. The quantitative and qualitative analyses find that the overall reader acceptance of the English translations of The Analects is good and that China, with its philosophy and culture, is attractive and brilliant, which also arise their interest and enthusiasm in getting to know Chinese culture and elements. Hopefully, this study will provide insight for relevant research on the positioning and influence of foreign translation of Chinese classics.
{"title":"A Study on the Reader Reception of English Translations of The Analects-Data Analysis with Python","authors":"Hui Liu","doi":"10.1109/ICMCCE51767.2020.00514","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00514","url":null,"abstract":"Based on Python data processing technology, this study collects reader comments on the English translations of The Analects on the mainstream western social book platforms to construct a review database so as to analyze readers' emotional attitudes, recognition of the works' ideological values, focal dimensions of translation quality, gains and losses of word translation, and the reflected image of China. The quantitative and qualitative analyses find that the overall reader acceptance of the English translations of The Analects is good and that China, with its philosophy and culture, is attractive and brilliant, which also arise their interest and enthusiasm in getting to know Chinese culture and elements. Hopefully, this study will provide insight for relevant research on the positioning and influence of foreign translation of Chinese classics.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"65 1","pages":"2381-2387"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83412651","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/ICMCCE51767.2020.00224
Zhicheng Hu, Wensheng Lu
As an all-terrain racing car, electric Baja racing involves more complicated working conditions than ordinary roads. However, the speed control of the car mainly depends on the driver's judgment and perception, which will increase the safety hazards during the race. The existing driving assistance system seldom involves all-terrain racing. Based on the actual situation of electric Baja racing in Wuhan University of Technology, this paper designed and developed a driving assistance system. Data acquisition and processing were realized by various sensors, single chip microcomputer and chip, broadcasted in the form of voice. The accuracy of the system was proved by theory and experiment. The research can effectively give early warning judgment to the driver, improve the off-road performance and obstacle avoidance ability of electric Baja racing car, and improve the energy efficiency of the car.
{"title":"Design of Driving Assistance System for Racing Car Applied in Electric Baja SAE China","authors":"Zhicheng Hu, Wensheng Lu","doi":"10.1109/ICMCCE51767.2020.00224","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00224","url":null,"abstract":"As an all-terrain racing car, electric Baja racing involves more complicated working conditions than ordinary roads. However, the speed control of the car mainly depends on the driver's judgment and perception, which will increase the safety hazards during the race. The existing driving assistance system seldom involves all-terrain racing. Based on the actual situation of electric Baja racing in Wuhan University of Technology, this paper designed and developed a driving assistance system. Data acquisition and processing were realized by various sensors, single chip microcomputer and chip, broadcasted in the form of voice. The accuracy of the system was proved by theory and experiment. The research can effectively give early warning judgment to the driver, improve the off-road performance and obstacle avoidance ability of electric Baja racing car, and improve the energy efficiency of the car.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"24 1","pages":"1023-1027"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78864206","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/ICMCCE51767.2020.00516
Li Ke, Yang Fan, Feng Xiang, Zhang Jie, Fu Xiao
This paper implements an adaptive field positioning support system based on Beidou navigation and positioning system design. The system designed in this paper makes full use of the positioning function and short message communication function of Beidou, achieves positioning and position reporting, and constructs a user-oriented adaptive function, which can effectively improve the efficiency of Beidou user terminal positioning, the efficiency of user terminal power management, and has the switching function of multiple working modes, so as to work in different field environments. The system designed and implemented in this paper can improve the application effect of Beidou in field operation positioning, and provide better decision support for personal safety and rescue of field workers.
{"title":"An Adaptive Positioning and Support System for Field Operations based on Beidou","authors":"Li Ke, Yang Fan, Feng Xiang, Zhang Jie, Fu Xiao","doi":"10.1109/ICMCCE51767.2020.00516","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00516","url":null,"abstract":"This paper implements an adaptive field positioning support system based on Beidou navigation and positioning system design. The system designed in this paper makes full use of the positioning function and short message communication function of Beidou, achieves positioning and position reporting, and constructs a user-oriented adaptive function, which can effectively improve the efficiency of Beidou user terminal positioning, the efficiency of user terminal power management, and has the switching function of multiple working modes, so as to work in different field environments. The system designed and implemented in this paper can improve the application effect of Beidou in field operation positioning, and provide better decision support for personal safety and rescue of field workers.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"34 1","pages":"2392-2395"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82858596","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/ICMCCE51767.2020.00038
L. Wang
As the core technology of mechatronics, sensor can not only withstand the severe external environment test, but also obtain information accurately and quickly, which is an important guarantee for the rapid development of mechatronics. At present, 11 kinds of sensors, including force sensitivity, color sensitivity, biological sensitivity and voltage sensitivity, are produced in China. These sensors are being used by more and more industries. In order to accelerate the development of high quality in the field of mechatronics, this paper based on the current application of sensors, scientifically points out the development direction of sensor technology by analyzing the problems existing in practical operation.
{"title":"Application and Development of Sensor Technology in Mechatronics","authors":"L. Wang","doi":"10.1109/ICMCCE51767.2020.00038","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00038","url":null,"abstract":"As the core technology of mechatronics, sensor can not only withstand the severe external environment test, but also obtain information accurately and quickly, which is an important guarantee for the rapid development of mechatronics. At present, 11 kinds of sensors, including force sensitivity, color sensitivity, biological sensitivity and voltage sensitivity, are produced in China. These sensors are being used by more and more industries. In order to accelerate the development of high quality in the field of mechatronics, this paper based on the current application of sensors, scientifically points out the development direction of sensor technology by analyzing the problems existing in practical operation.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"56 1","pages":"139-142"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90852978","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/ICMCCE51767.2020.00393
Xunfeng Yu, Qida Wu
At present, with the continuous development of network technology and information technology, digital management of prisons has become an inevitable trend. At the same time, this is also an important direction for the development of prison management, and relevant managers need to pay more attention to it. Based on previous work experience, this article summarizes the main threats to prison computer network information security. In addition, the author also discusses the prison computer network information security maintenance measures through the combination of the application of VLAN technology, the application of firewall technology, IP address management and virus prevention, system backup and network security management measures, access control, the establishment of corresponding security organizations, and the improvement of management systems.
{"title":"Analysis of the Main Threats and Key Preventive Measures of Computer Network Information Security Based on Prison Institutions","authors":"Xunfeng Yu, Qida Wu","doi":"10.1109/ICMCCE51767.2020.00393","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00393","url":null,"abstract":"At present, with the continuous development of network technology and information technology, digital management of prisons has become an inevitable trend. At the same time, this is also an important direction for the development of prison management, and relevant managers need to pay more attention to it. Based on previous work experience, this article summarizes the main threats to prison computer network information security. In addition, the author also discusses the prison computer network information security maintenance measures through the combination of the application of VLAN technology, the application of firewall technology, IP address management and virus prevention, system backup and network security management measures, access control, the establishment of corresponding security organizations, and the improvement of management systems.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"63 1","pages":"1794-1797"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90862189","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/ICMCCE51767.2020.00406
He Xinran
Under the influence of the epidemic, online learning has become a new way for many college students to attend classes. Due to the characteristics of online learning, the learner's concentration has been a great concern. As two key factors in learning, self-cognition and learning environment are considered to be closely related to learning concentration. The paper aims to explore the specific effects of self-cognition and learning environment on learning concentration. This paper adopted a quantitative research approach, collecting 259 effective questionnaires through Sojump and the results indicated that self-cognition and learning environment have the significant effect on concentration in online learning. By exploring the influence of self-cognition and learning environment on concentration, it is helpful to improve the concentration of college students in online learning and enhance the learning effect of online learning.
{"title":"The Influence of College Students' Self-Cognition and Learning Environment on Learning Concentration in Online Learning","authors":"He Xinran","doi":"10.1109/ICMCCE51767.2020.00406","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00406","url":null,"abstract":"Under the influence of the epidemic, online learning has become a new way for many college students to attend classes. Due to the characteristics of online learning, the learner's concentration has been a great concern. As two key factors in learning, self-cognition and learning environment are considered to be closely related to learning concentration. The paper aims to explore the specific effects of self-cognition and learning environment on learning concentration. This paper adopted a quantitative research approach, collecting 259 effective questionnaires through Sojump and the results indicated that self-cognition and learning environment have the significant effect on concentration in online learning. By exploring the influence of self-cognition and learning environment on concentration, it is helpful to improve the concentration of college students in online learning and enhance the learning effect of online learning.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"10 1","pages":"1850-1854"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90954404","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/ICMCCE51767.2020.00178
Youwei Zhang, Yafei Liu, Bing Zhu, Bing Xue
At present, in the investigation stage, public security organs, procuratorial organs and people's courts often need to conduct electronic data forensics analysis on criminals' WeChat and other social software to obtain sensitive information. This paper proposes a forensic analysis method based on chat history data of Wechat on Android smart phone. By using an Improved Naive Bayes Algorithm with redefinable the weights of the feature words, an improved Naive Bayes Classifier (NBC) model is established. The classifier is used to classify the chatting texts in WeChat, in order to find the sensitive information in the chatting texts efficiently. Experiments show that this model can improve the efficiency of acquiring sensitive information in WeChat, and has obvious effects on saving evidence collection time and improving the efficiency of criminal detection.
{"title":"WeChat Forensics Method of Android Smart Phone Based on Improved NBC","authors":"Youwei Zhang, Yafei Liu, Bing Zhu, Bing Xue","doi":"10.1109/ICMCCE51767.2020.00178","DOIUrl":"https://doi.org/10.1109/ICMCCE51767.2020.00178","url":null,"abstract":"At present, in the investigation stage, public security organs, procuratorial organs and people's courts often need to conduct electronic data forensics analysis on criminals' WeChat and other social software to obtain sensitive information. This paper proposes a forensic analysis method based on chat history data of Wechat on Android smart phone. By using an Improved Naive Bayes Algorithm with redefinable the weights of the feature words, an improved Naive Bayes Classifier (NBC) model is established. The classifier is used to classify the chatting texts in WeChat, in order to find the sensitive information in the chatting texts efficiently. Experiments show that this model can improve the efficiency of acquiring sensitive information in WeChat, and has obvious effects on saving evidence collection time and improving the efficiency of criminal detection.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"52 1","pages":"810-814"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91245642","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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