This paper presents the design of a laser measurement system for measuring the 3-dimensional(3D) displacement of railway track. The system consists of a three-channel laser sensor and a regular tetrahedral target. With three lasers, the sensor placed at a stationary position away from the railway track gets the 3-dimensional displacement of a target on the railway track. The structural displacement is computed in real time through processing the measured data. A clever conversion formula developed in this paper enables measurement of 3D displacement by tracking three sets of one-dimensional data of a target without vision technology. The efficacy of the laser system in 3D displacement measurement of the railway track was demonstrated through a fine-tuning table test. The maximum error is 1mm, which nearly equals to the accuracy of the laser sensor. An artificial means of marking the target is also proposed to further improve the adaptability of the system to the dark environment.
{"title":"A Laser Sensor-Based 3-Dimensional Displacement Measuring System for Railway Track","authors":"Jiaqian Ren, Jiye Huang","doi":"10.1145/3463858.3463892","DOIUrl":"https://doi.org/10.1145/3463858.3463892","url":null,"abstract":"This paper presents the design of a laser measurement system for measuring the 3-dimensional(3D) displacement of railway track. The system consists of a three-channel laser sensor and a regular tetrahedral target. With three lasers, the sensor placed at a stationary position away from the railway track gets the 3-dimensional displacement of a target on the railway track. The structural displacement is computed in real time through processing the measured data. A clever conversion formula developed in this paper enables measurement of 3D displacement by tracking three sets of one-dimensional data of a target without vision technology. The efficacy of the laser system in 3D displacement measurement of the railway track was demonstrated through a fine-tuning table test. The maximum error is 1mm, which nearly equals to the accuracy of the laser sensor. An artificial means of marking the target is also proposed to further improve the adaptability of the system to the dark environment.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115595642","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102062
Xiaochen Chou, U. Mele, L. Gambardella, R. Montemanni
The Probabilistic Orienteering Problem is an optimization problem where a set of customers, each with an associated prize and probability of requiring a service, a time budget and travel times between customers are given. The objective is to select the subset of customers that maximize the expected total prize collected in the given time (taking into account of the total travel time spent visiting them). Random Restart Local Search is a heuristic method widely used to solve combinatorial optimization problems. In particular, it is used in conjunction with local search procedures to escape from local optima. The method works by restarting the optimization search once no further improvement is possible by the embedded local search component. Each restart is associated with a new initial solution for the optimization, and selecting such restart initial solutions play an important role in the success of the overall algorithm. In this work we propose a method to effectively selecting such solutions, and we present an empirical study to validate our ideas.
{"title":"Re-Initialising Solutions in a Random Restart Local Search for the Probabilistic Orienteering Problem","authors":"Xiaochen Chou, U. Mele, L. Gambardella, R. Montemanni","doi":"10.1109/ICIEA49774.2020.9102062","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102062","url":null,"abstract":"The Probabilistic Orienteering Problem is an optimization problem where a set of customers, each with an associated prize and probability of requiring a service, a time budget and travel times between customers are given. The objective is to select the subset of customers that maximize the expected total prize collected in the given time (taking into account of the total travel time spent visiting them). Random Restart Local Search is a heuristic method widely used to solve combinatorial optimization problems. In particular, it is used in conjunction with local search procedures to escape from local optima. The method works by restarting the optimization search once no further improvement is possible by the embedded local search component. Each restart is associated with a new initial solution for the optimization, and selecting such restart initial solutions play an important role in the success of the overall algorithm. In this work we propose a method to effectively selecting such solutions, and we present an empirical study to validate our ideas.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123215813","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101956
A. Terenteva, M. Limorenko
An inaccurate value of blood glucose concentration in patients with diabetes mellitus can lead to mistakes in treatment. To determine the right treatment, you need to improve accuracy. Authors of the article proposes to use adaptive statistical methods for increasing accuracy, which work well for a small number of repeated measurements under conditions of uncertainty of external factors.
{"title":"Research on Methods to Improve Glycemic Control Accuracy","authors":"A. Terenteva, M. Limorenko","doi":"10.1109/ICIEA49774.2020.9101956","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101956","url":null,"abstract":"An inaccurate value of blood glucose concentration in patients with diabetes mellitus can lead to mistakes in treatment. To determine the right treatment, you need to improve accuracy. Authors of the article proposes to use adaptive statistical methods for increasing accuracy, which work well for a small number of repeated measurements under conditions of uncertainty of external factors.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788609","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101908
S. A. Fahmy
The vehicle routing problem (VRP) is that of finding the optimal routes for a number of vehicles (trucks) to serve a set of customers, with the goal of minimizing the total transportation cost. Due to the different sizes and nature of customer orders and different capacities of trucks, an order might be split onto more than one truck. The problem then becomes not only of finding the optimal routes, but further of how to divide the orders between trucks. In this paper, the VRP with split strategy, considering heterogeneous fleet and orders is approached. The problem was first formulated as a mixed integer programming model (MILP) with a total transportation cost minimization objective. Due to the complexity of the problem, a two-phase solution algorithm was further proposed to solve the problem. The algorithm first constructs the routes sequentially based on the savings function, then it employs a 2-opt algorithm to improve the routes. The algorithm was applied to solve the problem for a fast moving consumer goods (FMCG) distribution company. Results indicated that the algorithm is able to minimize the number of required trucks and satisfy all customer orders, while minimizing the transportation cost.
{"title":"The Vehicle Routing Problem with Split Delivery and Heterogeneous Trucks and Commodities: A Case Study","authors":"S. A. Fahmy","doi":"10.1109/ICIEA49774.2020.9101908","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101908","url":null,"abstract":"The vehicle routing problem (VRP) is that of finding the optimal routes for a number of vehicles (trucks) to serve a set of customers, with the goal of minimizing the total transportation cost. Due to the different sizes and nature of customer orders and different capacities of trucks, an order might be split onto more than one truck. The problem then becomes not only of finding the optimal routes, but further of how to divide the orders between trucks. In this paper, the VRP with split strategy, considering heterogeneous fleet and orders is approached. The problem was first formulated as a mixed integer programming model (MILP) with a total transportation cost minimization objective. Due to the complexity of the problem, a two-phase solution algorithm was further proposed to solve the problem. The algorithm first constructs the routes sequentially based on the savings function, then it employs a 2-opt algorithm to improve the routes. The algorithm was applied to solve the problem for a fast moving consumer goods (FMCG) distribution company. Results indicated that the algorithm is able to minimize the number of required trucks and satisfy all customer orders, while minimizing the transportation cost.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756148","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101934
A. Morsi, S. Ahmed, Abdelfatah M. Mohamed, H. S. Abbas
Active magnetic bearing (AMB) systems have attracted much attention in the high speed rotating machinery industry. This paper presents an application of discrete-time model predictive control (MPC) subject to input/states constraints to control an AMB system based on linear time-invariant (LTI) model. The main control objectives are to levitate the rotor shaft of the AMB system while tracking a reference trajectory and to reject possible disturbances without violating the input and state constraints. A nonlinear (NL) model of the AMB system is considered; at each sampling instant, a finite horizon MPC problem is solved to compute the optimal control input. The performance and the efficiency of the proposed MPC is validated via simulation and comparison with another classical PID controller.
{"title":"Model Predictive Control for an Active Magnetic Bearing System","authors":"A. Morsi, S. Ahmed, Abdelfatah M. Mohamed, H. S. Abbas","doi":"10.1109/ICIEA49774.2020.9101934","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101934","url":null,"abstract":"Active magnetic bearing (AMB) systems have attracted much attention in the high speed rotating machinery industry. This paper presents an application of discrete-time model predictive control (MPC) subject to input/states constraints to control an AMB system based on linear time-invariant (LTI) model. The main control objectives are to levitate the rotor shaft of the AMB system while tracking a reference trajectory and to reject possible disturbances without violating the input and state constraints. A nonlinear (NL) model of the AMB system is considered; at each sampling instant, a finite horizon MPC problem is solved to compute the optimal control input. The performance and the efficiency of the proposed MPC is validated via simulation and comparison with another classical PID controller.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114965661","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102057
Z. Jianhua, Zhou Qinye, Miao Rui, Ge Qiuyuan, Chen Yu
With the development of modern industry, welding technology is an indispensable means of industrial technology in mechanical processing industry and plays an important role in national economic construction. Narrow lap welding is the first important process to ensure continuous production in hot dip galvanized steel production lines. Currently., narrow lap welding still depends on manual visual inspection and sampling inspection after welding. We equip 3D laser line scan camera and eddy current testing system to improve reliability and monitoring timeliness in welding process. Gray Image and Height Image of surface appearance, as well as eddy current signal inside weld are collected by our equipment which is following with welding arm. Finally., collected data should be analyzed through software developed by C#. Selecting hardware, data transmission, and developing software is all involved in this program and the detection system has been used in actual production of enterprise as a complete solution.
{"title":"Real-Time Automatic Detecting System and Online Monitoring Software in Mash Seam Welder","authors":"Z. Jianhua, Zhou Qinye, Miao Rui, Ge Qiuyuan, Chen Yu","doi":"10.1109/ICIEA49774.2020.9102057","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102057","url":null,"abstract":"With the development of modern industry, welding technology is an indispensable means of industrial technology in mechanical processing industry and plays an important role in national economic construction. Narrow lap welding is the first important process to ensure continuous production in hot dip galvanized steel production lines. Currently., narrow lap welding still depends on manual visual inspection and sampling inspection after welding. We equip 3D laser line scan camera and eddy current testing system to improve reliability and monitoring timeliness in welding process. Gray Image and Height Image of surface appearance, as well as eddy current signal inside weld are collected by our equipment which is following with welding arm. Finally., collected data should be analyzed through software developed by C#. Selecting hardware, data transmission, and developing software is all involved in this program and the detection system has been used in actual production of enterprise as a complete solution.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552217","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101932
Arpan D. Patel, Shubham Jha, R. Soni, Kishan Fuse
There are several environmental and energy concerns of using gasoline motorcycles which has led to the rapid development in the electric motorcycle industry. Electric motorcycles provide several decisive features along with tremendous energy efficiency which overcomes several environmental pollution problems created due to the existing gasoline motorcycles. This paper presents CRITIC-COPRAS and CRITIC-TOPSIS multi-criteria decision-making techniques for the best selection of electric motorcycles. The notable idea of this approach is to compare both the techniques to find most relevant technique for motorbike selection scenario to help decision makers determine best alternative among a distinct set of available electric motorcycle options in the market.
{"title":"Comparative study of MCDM Techniques COPRAS and TOPSIS for selection of Electric Motorcycles","authors":"Arpan D. Patel, Shubham Jha, R. Soni, Kishan Fuse","doi":"10.1109/ICIEA49774.2020.9101932","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101932","url":null,"abstract":"There are several environmental and energy concerns of using gasoline motorcycles which has led to the rapid development in the electric motorcycle industry. Electric motorcycles provide several decisive features along with tremendous energy efficiency which overcomes several environmental pollution problems created due to the existing gasoline motorcycles. This paper presents CRITIC-COPRAS and CRITIC-TOPSIS multi-criteria decision-making techniques for the best selection of electric motorcycles. The notable idea of this approach is to compare both the techniques to find most relevant technique for motorbike selection scenario to help decision makers determine best alternative among a distinct set of available electric motorcycle options in the market.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124652086","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102018
J. D. German, Kianna Denise C. Villapando, Janelle P. Resilva, John Robert C. Quiambao, Angelo R. Guevarra
Seating arrangements are among the significant factors considered in the field of education. Traditional seating arrangement is commonly used in classrooms, but it does not usually work for most students. This research adapted various designs of seating arrangements for Statistics classes of Grade 11 students to determine its effects on these students' academic performance. After completing the discussion for the selected topic, an examination was given to the students and their respective scores were collected and analyzed. Using one-way Analysis of Variance (ANOVA) and Tukey's post-hoc test, the test scores revealed that the different seating arrangements have different effects on the performance of these students. This concludes that students must be arranged in a seating design that would allow for collaboration and interaction between them and their teacher since this will help in enhancing their academic performance.
{"title":"Effects of Various Seating Arrangements on Academic Performance of Grade 11 Students in Statistics","authors":"J. D. German, Kianna Denise C. Villapando, Janelle P. Resilva, John Robert C. Quiambao, Angelo R. Guevarra","doi":"10.1109/ICIEA49774.2020.9102018","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102018","url":null,"abstract":"Seating arrangements are among the significant factors considered in the field of education. Traditional seating arrangement is commonly used in classrooms, but it does not usually work for most students. This research adapted various designs of seating arrangements for Statistics classes of Grade 11 students to determine its effects on these students' academic performance. After completing the discussion for the selected topic, an examination was given to the students and their respective scores were collected and analyzed. Using one-way Analysis of Variance (ANOVA) and Tukey's post-hoc test, the test scores revealed that the different seating arrangements have different effects on the performance of these students. This concludes that students must be arranged in a seating design that would allow for collaboration and interaction between them and their teacher since this will help in enhancing their academic performance.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130155683","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101910
Shuang Zhang, Kai Zhang
As a convergence of “self-driving” and “sharing”, shared autonomous vehicles can offer real-time ridesharing service to the common people, and have potential to transform current traffic patterns. This paper focuses on a new dynamic ridesharing strategy for shared self-driving cars, including system technical framework, workflow to operate for service provider and matching model between customers and cars, according to the similarity of their predicted trajectories, service provider would use fewer vehicles to meet all the requests by matching ride demands and cars, if they have similar trajectories. A computational experiment results showed that, this strategy can increase vehicle occupancy and alleviate congestion.
{"title":"Dynamic Ridesharing Strategy for Shared Autonomous Vehicles Based on Maximum Similarity of Trajectories","authors":"Shuang Zhang, Kai Zhang","doi":"10.1109/ICIEA49774.2020.9101910","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101910","url":null,"abstract":"As a convergence of “self-driving” and “sharing”, shared autonomous vehicles can offer real-time ridesharing service to the common people, and have potential to transform current traffic patterns. This paper focuses on a new dynamic ridesharing strategy for shared self-driving cars, including system technical framework, workflow to operate for service provider and matching model between customers and cars, according to the similarity of their predicted trajectories, service provider would use fewer vehicles to meet all the requests by matching ride demands and cars, if they have similar trajectories. A computational experiment results showed that, this strategy can increase vehicle occupancy and alleviate congestion.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617416","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102092
Yubin Xie, Yun Li
Under the fourth industrial revolution, how the traditional manufacturing industry moves from the low end of the value chain to the mid-to-high end, and from the traditional standardization and mass production to personalization and small batch customization is the key to the transformation and upgrading of the industry. This paper focuses on how Haier COSMOPlat can facilitate industrial upstream and downstream collaboration and cross-border integration. Through an explanatory single case study method, this paper analyzes how Haier COSMOPlat provides a model and opportunity for transformation and upgrading for industrial manufacturing, as well as how Haier builds a global and industry-wide industrial mass customization platform, successfully achieves cross-domain and cross-industry collaboration, and enables companies to transform and upgrade. This paper summarizes that COSMOPlat not only promotes the upstream and downstream collaboration of the industrial chain, but also promotes the cross-border integration, with a view to providing a new path for the transformation and upgrading of China's traditional manufacturing industry
{"title":"Research on Haier COSMOPlat Promoting Industry Upstream and Downstream Collaboration and Cross-border Integration","authors":"Yubin Xie, Yun Li","doi":"10.1109/ICIEA49774.2020.9102092","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102092","url":null,"abstract":"Under the fourth industrial revolution, how the traditional manufacturing industry moves from the low end of the value chain to the mid-to-high end, and from the traditional standardization and mass production to personalization and small batch customization is the key to the transformation and upgrading of the industry. This paper focuses on how Haier COSMOPlat can facilitate industrial upstream and downstream collaboration and cross-border integration. Through an explanatory single case study method, this paper analyzes how Haier COSMOPlat provides a model and opportunity for transformation and upgrading for industrial manufacturing, as well as how Haier builds a global and industry-wide industrial mass customization platform, successfully achieves cross-domain and cross-industry collaboration, and enables companies to transform and upgrade. This paper summarizes that COSMOPlat not only promotes the upstream and downstream collaboration of the industrial chain, but also promotes the cross-border integration, with a view to providing a new path for the transformation and upgrading of China's traditional manufacturing industry","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116025911","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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