Pub Date : 2019-11-01DOI: 10.2991/pntim-19.2019.25
Zhao Peng, Yang Gaoxiang, Wang Jia, Zhang Yan
Aiming at the problem of resistance control of spinning bicycle in the process of riding, in order to improve the resistance control of spinning bicycle to be more intelligent, a research on controlling the resistance of spinning bicycle by controlling the Angle change of steering engine based on single chip PWM signal is proposed. The method of simulating control resistance of steering gear is adopted to realize the control design of resistance of spinning bicycle. The design results show that controlling the resistance change of spinning with steering gear can meet the needs of users, provide users with more intelligent physical examination, and improve the fitness enthusiasm. Through simulation, the design results are basically consistent with the design theory, which proves the rationality of the steering gear in the design of the resistance control system of spinning bicycle. Keywords-Spinning; MCU; Hall Speed; Steering Engine
{"title":"Design of Spinning Resistance Control System Based on MCU","authors":"Zhao Peng, Yang Gaoxiang, Wang Jia, Zhang Yan","doi":"10.2991/pntim-19.2019.25","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.25","url":null,"abstract":"Aiming at the problem of resistance control of spinning bicycle in the process of riding, in order to improve the resistance control of spinning bicycle to be more intelligent, a research on controlling the resistance of spinning bicycle by controlling the Angle change of steering engine based on single chip PWM signal is proposed. The method of simulating control resistance of steering gear is adopted to realize the control design of resistance of spinning bicycle. The design results show that controlling the resistance change of spinning with steering gear can meet the needs of users, provide users with more intelligent physical examination, and improve the fitness enthusiasm. Through simulation, the design results are basically consistent with the design theory, which proves the rationality of the steering gear in the design of the resistance control system of spinning bicycle. Keywords-Spinning; MCU; Hall Speed; Steering Engine","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"2 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":"128133747","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-19.2019.28
T. Tian, Cao Yan, Jia Feng, Zhang Leiyan
In order to solve the problem that the stability of flow field affects the machining accuracy of aero-engine blade in EDM, according to the structure of EDM horizontal machine tool, the corresponding fixture is designed in this paper. Based on the flow field of machining gap, the finite element simulation of different sizes of electrolyte inlet is carried out respectively. Through the simulation, it can be seen that when the electrolyte inlet is larger than the machining gap, the pressure distribution in the gap flow field is uniform. The electrolyte flow rate in the gap is increased from 13m/s to 45 m/s, thus ensuring the stability of the flow
{"title":"Simulation Analysis of Flow Field Based on Horizontal Electrolytic Machine Tool","authors":"T. Tian, Cao Yan, Jia Feng, Zhang Leiyan","doi":"10.2991/pntim-19.2019.28","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.28","url":null,"abstract":"In order to solve the problem that the stability of flow field affects the machining accuracy of aero-engine blade in EDM, according to the structure of EDM horizontal machine tool, the corresponding fixture is designed in this paper. Based on the flow field of machining gap, the finite element simulation of different sizes of electrolyte inlet is carried out respectively. Through the simulation, it can be seen that when the electrolyte inlet is larger than the machining gap, the pressure distribution in the gap flow field is uniform. The electrolyte flow rate in the gap is increased from 13m/s to 45 m/s, thus ensuring the stability of the flow","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"47 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":"127868027","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}
With the development of sensor technology, when facing the explosive growth of large power data, the existing data acquisition and monitoring system (SCADA) is increasingly inadequate in data processing ability and lack of intelligence. In this paper, a novel intelligent monitoring system for power distribution equipment based on cloud edge collaborative computing is designed to effectively improve the efficiency and intelligence of mass data processing. At the edge end, an improved intelligent data acquisition device is adopted as the edge computing node, where the original data is collected and uploaded with variable frequency, in order to enhance the value density of data and reduce the network load and cloud load. In addition, data monitoring cloud platform is designed in the cloud, where a data mining model is established by using Apriori frequent item set algorithm, to provide more accurate monitoring and diagnosis services for upper applications, and guide the edge end to conduct intelligent control of devices. The reliability and performance of the designed system are validated by the intelligent monitoring project of box substation power distribution equipment. Keywords-Component; Edge Computing; Cloud Edge Collaboration Computing; Fault Diagnosis
{"title":"Design of Intelligent Monitoring System for Power Distribution Equipment Based on Cloud Edge Collaborative Computing","authors":"Xu Erbao, Li Yan, Y. Mingshun, Chen Xi","doi":"10.2991/pntim-19.2019.3","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.3","url":null,"abstract":"With the development of sensor technology, when facing the explosive growth of large power data, the existing data acquisition and monitoring system (SCADA) is increasingly inadequate in data processing ability and lack of intelligence. In this paper, a novel intelligent monitoring system for power distribution equipment based on cloud edge collaborative computing is designed to effectively improve the efficiency and intelligence of mass data processing. At the edge end, an improved intelligent data acquisition device is adopted as the edge computing node, where the original data is collected and uploaded with variable frequency, in order to enhance the value density of data and reduce the network load and cloud load. In addition, data monitoring cloud platform is designed in the cloud, where a data mining model is established by using Apriori frequent item set algorithm, to provide more accurate monitoring and diagnosis services for upper applications, and guide the edge end to conduct intelligent control of devices. The reliability and performance of the designed system are validated by the intelligent monitoring project of box substation power distribution equipment. Keywords-Component; Edge Computing; Cloud Edge Collaboration Computing; Fault Diagnosis","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"69 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":"133424963","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-19.2019.13
Zhao Han, Fan QingMing
Turbine blades play an important role as important parts in aero engines. One of the main methods of machining is electrochemical machining (ECM). In this paper, based on the flow field theory of electrochemical machining, the flow field analysis of machining gap was taken as the main research content When machining turbine blades. And the gap flow field model of blade electrochemical machining was established. Then based on COMSOL Multiphysics software, the distribution and characteristics of flow field were studied by numerical simulation of machining gap. Finally, the effects of different machining gaps and electrolyte pressure on turbine blade machining were analyzed, and the effects of electrolyte velocity and pressure on distribution were summarized. Keywords-Electrochemical Machining(ECM); Turbine Blade; Flow Field; Simulation
{"title":"Design and Simulation Analysis of Flow Field in Turbine Blades ECM Process","authors":"Zhao Han, Fan QingMing","doi":"10.2991/pntim-19.2019.13","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.13","url":null,"abstract":"Turbine blades play an important role as important parts in aero engines. One of the main methods of machining is electrochemical machining (ECM). In this paper, based on the flow field theory of electrochemical machining, the flow field analysis of machining gap was taken as the main research content When machining turbine blades. And the gap flow field model of blade electrochemical machining was established. Then based on COMSOL Multiphysics software, the distribution and characteristics of flow field were studied by numerical simulation of machining gap. Finally, the effects of different machining gaps and electrolyte pressure on turbine blade machining were analyzed, and the effects of electrolyte velocity and pressure on distribution were summarized. Keywords-Electrochemical Machining(ECM); Turbine Blade; Flow Field; Simulation","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"4 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":"127871023","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-19.2019.64
Du Laihong, Chen Hua, Fan Yadong
In order to improve efficiency of the workshop, a new scheduling method is put forward by coupling polychromatic theory, particle swarm algorithm and grey correlation theory. Firstly, considering manufacturing resources allocation problem, manufacturing resource description and reasoning is realized by polychromatic set theory to satisfy manufacturing process requirement. Secondly, manufacturing resources selection evaluation system is constructed, and manufacturing resources multi-objective selection problem is resolved by grey correlation theory and analytic hierarchy process. Lastly, on the basis of manufacturing resources selection, Job shop scheduling problem for minimizing span optimization objective is solved by the particle swarm algorithm. The method is validated the effectiveness of shop scheduling by an example, which is coupling polychromatic particle swarm and grey relation theory. Keywords-Shop Scheduling; Polychromatic Theory; Particle Swarm Algorithm; Grey Correlation
{"title":"Research of Multi-target Shop Schedule based on Particle Swarm and Grey Relation","authors":"Du Laihong, Chen Hua, Fan Yadong","doi":"10.2991/pntim-19.2019.64","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.64","url":null,"abstract":"In order to improve efficiency of the workshop, a new scheduling method is put forward by coupling polychromatic theory, particle swarm algorithm and grey correlation theory. Firstly, considering manufacturing resources allocation problem, manufacturing resource description and reasoning is realized by polychromatic set theory to satisfy manufacturing process requirement. Secondly, manufacturing resources selection evaluation system is constructed, and manufacturing resources multi-objective selection problem is resolved by grey correlation theory and analytic hierarchy process. Lastly, on the basis of manufacturing resources selection, Job shop scheduling problem for minimizing span optimization objective is solved by the particle swarm algorithm. The method is validated the effectiveness of shop scheduling by an example, which is coupling polychromatic particle swarm and grey relation theory. Keywords-Shop Scheduling; Polychromatic Theory; Particle Swarm Algorithm; Grey Correlation","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"51 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":"121149995","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-19.2019.49
L. Weiwei, Zhu Yu-quan, Shang Hanhan, Zhao Yang
In order to meet the needs of special structural gears in the development of aviation, aerospace and automobile industries, the existing gear processing methods can not meet the processing precision. If it is necessary to pay a large cost to meet the processing precision, a new Processing method hobbing processing method of spiral face gear. On the basis of a large number of previous studies, based on the differential geometry and spatial meshing principle, the tooth surface equation of the helical face gear is derived and the threedimensional model is simulated by coordinate transformation and meshing relationship; considering the assembly mode and motion of the hob and the helical face gear Relationship, the machining coordinate system is established, and the helical face gear tooth surface and meshing equation are obtained from the hob-based worm tooth surface equation and the Archimedes worm hob is designed. Finally, the conclusion is given and the research work that needs further development is proposed. Keywords-Spiral Face Gear; Hobbing Machining
{"title":"Research on Complex Tooth Surface Forming Technology of Spiral Face Gear","authors":"L. Weiwei, Zhu Yu-quan, Shang Hanhan, Zhao Yang","doi":"10.2991/pntim-19.2019.49","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.49","url":null,"abstract":"In order to meet the needs of special structural gears in the development of aviation, aerospace and automobile industries, the existing gear processing methods can not meet the processing precision. If it is necessary to pay a large cost to meet the processing precision, a new Processing method hobbing processing method of spiral face gear. On the basis of a large number of previous studies, based on the differential geometry and spatial meshing principle, the tooth surface equation of the helical face gear is derived and the threedimensional model is simulated by coordinate transformation and meshing relationship; considering the assembly mode and motion of the hob and the helical face gear Relationship, the machining coordinate system is established, and the helical face gear tooth surface and meshing equation are obtained from the hob-based worm tooth surface equation and the Archimedes worm hob is designed. Finally, the conclusion is given and the research work that needs further development is proposed. Keywords-Spiral Face Gear; Hobbing Machining","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"12 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":"126160891","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-19.2019.82
L. Wenyuan, Wang Jian
With the rapid development of the internet of things and cloud computing, users can instantly transmit a large amount of data to various fields, with the development of communication technology providing convenience for people's life, information security is becoming more and more important. Therefore, it is of great significance to study the technology of image hiding information detection. This paper mainly uses the support vector machine learning algorithm to detect the hidden information of the image, based on a standard image library, randomly selecting images for embedding secret information. According to the bit-plane correlation and the gradient energy change of a single bit-plane after encryption of an image LSB matching algorithm, gradient energy change is selected as characteristic change, and the gradient energy change is innovatively applied to a support vector machine classifier algorithm, And has very good detection effect and good stability on the dense image with the embedding rate of more than 40 percent. Keywords-Support Vector Machine; Information Detection; LSB Matching; Steganography
{"title":"Research on Image Steganography Information Detection Based on Support Vector Machine","authors":"L. Wenyuan, Wang Jian","doi":"10.2991/pntim-19.2019.82","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.82","url":null,"abstract":"With the rapid development of the internet of things and cloud computing, users can instantly transmit a large amount of data to various fields, with the development of communication technology providing convenience for people's life, information security is becoming more and more important. Therefore, it is of great significance to study the technology of image hiding information detection. This paper mainly uses the support vector machine learning algorithm to detect the hidden information of the image, based on a standard image library, randomly selecting images for embedding secret information. According to the bit-plane correlation and the gradient energy change of a single bit-plane after encryption of an image LSB matching algorithm, gradient energy change is selected as characteristic change, and the gradient energy change is innovatively applied to a support vector machine classifier algorithm, And has very good detection effect and good stability on the dense image with the embedding rate of more than 40 percent. Keywords-Support Vector Machine; Information Detection; LSB Matching; Steganography","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"39 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":"130912936","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-19.2019.20
Li Lin, Cao Yan, Jia Feng, Zhi Xiaowei
{"title":"Study on Cathode Design Method for Electrochemical Machining of Turbine Blade","authors":"Li Lin, Cao Yan, Jia Feng, Zhi Xiaowei","doi":"10.2991/pntim-19.2019.20","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.20","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":"2 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":"129065962","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-19.2019.98
Yu Shaojun
WSN is a wireless network composed of a large number of static or mobile sensors in a self-organized and multi-hop way, which sense, collect, process and transmit the information of the perceived objects in the geographical area covered by the network in a cooperative way, and finally send these information to the owner of network. Aiming at the problems of uneven energy consumption and long working time in low duty cycle WSN network, a node adaptive sleep algorithm is proposed in this paper. The algorithm can schedule node sleep time slot and working time slot according to the wireless link condition, so as to ensure the minimum overall energy consumption under the condition of delay constraint. Energy sensing is added to the adaptive sleep mechanism to make no line according to adaptive adjustment of residual energy of the nodes, the energy consumption of each node is balanced and the working time of WSN network is improved. The simulation analysis shows that the algorithm can effectively reduce the working time slot and energy consumption while meeting the transmission delay, so as to improve the working period of the network. Keywords-Wireless Sensor Network; Low Duty Cycle; Adaptive Sleep; Energy Sensing; Wireless Node; Sleep Slot;
{"title":"Sleep Algorithm of Wireless Sensor Network Based on Low Duty Cycle","authors":"Yu Shaojun","doi":"10.2991/pntim-19.2019.98","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.98","url":null,"abstract":"WSN is a wireless network composed of a large number of static or mobile sensors in a self-organized and multi-hop way, which sense, collect, process and transmit the information of the perceived objects in the geographical area covered by the network in a cooperative way, and finally send these information to the owner of network. Aiming at the problems of uneven energy consumption and long working time in low duty cycle WSN network, a node adaptive sleep algorithm is proposed in this paper. The algorithm can schedule node sleep time slot and working time slot according to the wireless link condition, so as to ensure the minimum overall energy consumption under the condition of delay constraint. Energy sensing is added to the adaptive sleep mechanism to make no line according to adaptive adjustment of residual energy of the nodes, the energy consumption of each node is balanced and the working time of WSN network is improved. The simulation analysis shows that the algorithm can effectively reduce the working time slot and energy consumption while meeting the transmission delay, so as to improve the working period of the network. Keywords-Wireless Sensor Network; Low Duty Cycle; Adaptive Sleep; Energy Sensing; Wireless Node; Sleep Slot;","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"51 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":"133828372","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-19.2019.95
Guo Ruixia, W. Junwei
The dynamic mechanical properties of reinforced concrete column members under different loading paths in the paper are studied. The influence of loading rate and loading path on the mechanical behavior of reinforced concrete columns is considered. The numerical simulations are performed on the two test-pieces based on the centralized plastic hinge fiber model in OpenSees software. Keywords-Reinforced Concrete; Flexural Member; Plastic Design
{"title":"Research on Plastic Design Method of Reinforced Concrete Flexural Component","authors":"Guo Ruixia, W. Junwei","doi":"10.2991/pntim-19.2019.95","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.95","url":null,"abstract":"The dynamic mechanical properties of reinforced concrete column members under different loading paths in the paper are studied. The influence of loading rate and loading path on the mechanical behavior of reinforced concrete columns is considered. The numerical simulations are performed on the two test-pieces based on the centralized plastic hinge fiber model in OpenSees software. Keywords-Reinforced Concrete; Flexural Member; Plastic Design","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"79 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":"133347829","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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