Pub Date : 2011-10-13DOI: 10.1109/CASE.2011.6042417
Abdellah Sadki, Xiaolan Xie, F. Chauvin
This paper addresses the problem of appointment scheduling of patients of an oncology outpatient unit. Each patient is first seen by his oncologist, and then the drug is prepared and injected to the patient. Two major resources including oncologists for consultation and beds for injection are considered. Idle times of oncologists are not allowed. The problem consists in scheduling the appointment time of each patient and the starting time of the injection in order to minimize the total weighted cost incurred by patient waiting times and the makespan. A Lagrangian relaxation-based heuristic and a local optimization heuristic are proposed. Numerical results show that the Lagrangian relaxation-based heuristic always outperforms the local optimization heuristic.
{"title":"Appointment scheduling of oncology outpatients","authors":"Abdellah Sadki, Xiaolan Xie, F. Chauvin","doi":"10.1109/CASE.2011.6042417","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042417","url":null,"abstract":"This paper addresses the problem of appointment scheduling of patients of an oncology outpatient unit. Each patient is first seen by his oncologist, and then the drug is prepared and injected to the patient. Two major resources including oncologists for consultation and beds for injection are considered. Idle times of oncologists are not allowed. The problem consists in scheduling the appointment time of each patient and the starting time of the injection in order to minimize the total weighted cost incurred by patient waiting times and the makespan. A Lagrangian relaxation-based heuristic and a local optimization heuristic are proposed. Numerical results show that the Lagrangian relaxation-based heuristic always outperforms the local optimization heuristic.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288595","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042495
Guorong Chen, L. Zhang, J. Arinez, S. Biller
Effective control of production operations is considered as one of the most economical methods to improve energy efficiency in manufacturing systems. This paper investigates energy consumption reduction in Bernoulli serial lines with buffer stripping, i.e., with the buffers that must be depleted at the end of each shift. This buffer depletion activity is widely used in automotive paint shops and other production systems with perishable products to avoid quality deterioration. Clearly, to reduce energy consumption in such systems, the startup schedule of the machines downstream of the depleted buffers should be controlled properly at the beginning of each shift. In this paper, using transient analysis of the systems at hand, performance evaluation formulas are derived and system-theoretic properties are analyzed. In addition, effective controllers for machine startup schedule are proposed. The efficacy and practical implications of these controllers are demonstrated using numerical investigation. Finally, insights for obtaining the optimal controllers are provided.
{"title":"Feedback control of machine startup for energy-efficient manufacturing in Bernoulli serial lines","authors":"Guorong Chen, L. Zhang, J. Arinez, S. Biller","doi":"10.1109/CASE.2011.6042495","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042495","url":null,"abstract":"Effective control of production operations is considered as one of the most economical methods to improve energy efficiency in manufacturing systems. This paper investigates energy consumption reduction in Bernoulli serial lines with buffer stripping, i.e., with the buffers that must be depleted at the end of each shift. This buffer depletion activity is widely used in automotive paint shops and other production systems with perishable products to avoid quality deterioration. Clearly, to reduce energy consumption in such systems, the startup schedule of the machines downstream of the depleted buffers should be controlled properly at the beginning of each shift. In this paper, using transient analysis of the systems at hand, performance evaluation formulas are derived and system-theoretic properties are analyzed. In addition, effective controllers for machine startup schedule are proposed. The efficacy and practical implications of these controllers are demonstrated using numerical investigation. Finally, insights for obtaining the optimal controllers are provided.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114220854","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042403
Yan Qiao, N. Wu, Mengchu Zhou
Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cycle time analysis. This paper studies the cycle time analysis problem for such processes. With a Petri net model, it is found that such processes contain local cycles involving only the revisiting PMs and global cycles involving both revisiting and non-revisiting PMs. The process switches between these two types of cycles such that the process never reaches a steady state. Based on this finding, the mechanism underlying such processes is revealed and analytical expressions are given for the calculation of their cycle time. Illustrative examples are presented to show the application of the proposed approach.
{"title":"Modeling and analysis of dual-arm cluster tools for wafer fabrication with revisiting","authors":"Yan Qiao, N. Wu, Mengchu Zhou","doi":"10.1109/CASE.2011.6042403","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042403","url":null,"abstract":"Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cycle time analysis. This paper studies the cycle time analysis problem for such processes. With a Petri net model, it is found that such processes contain local cycles involving only the revisiting PMs and global cycles involving both revisiting and non-revisiting PMs. The process switches between these two types of cycles such that the process never reaches a steady state. Based on this finding, the mechanism underlying such processes is revealed and analytical expressions are given for the calculation of their cycle time. Illustrative examples are presented to show the application of the proposed approach.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121199675","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042398
C. Li, Ying Tang, Chengchuan Li
This paper presents a GERT (Graphical Evaluation and Review Technique)-based analytical method for uncertainty management of remanufacturing. Four GERT-based stochastic remanufacturing process routing (RPR) models are first proposed. A remanufacturing system that consists of various process flows is then analyzed, where the probability of and the time associated with individual process are estimated. Finally, the method is demonstrated through the remanufacturing of used lathe spindles, and validated by Arena simulation.
提出了一种基于GERT (Graphical Evaluation and Review Technique)的再制造不确定性管理分析方法。首先提出了四种基于随机再制造过程路由的随机再制造过程路由模型。然后对由各种工艺流程组成的再制造系统进行了分析，其中估计了与单个工艺相关的概率和时间。最后，以旧车床主轴再制造为例对该方法进行了验证，并通过Arena仿真进行了验证。
{"title":"A GERT-based analytical method for remanufacturing process routing","authors":"C. Li, Ying Tang, Chengchuan Li","doi":"10.1109/CASE.2011.6042398","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042398","url":null,"abstract":"This paper presents a GERT (Graphical Evaluation and Review Technique)-based analytical method for uncertainty management of remanufacturing. Four GERT-based stochastic remanufacturing process routing (RPR) models are first proposed. A remanufacturing system that consists of various process flows is then analyzed, where the probability of and the time associated with individual process are estimated. Finally, the method is demonstrated through the remanufacturing of used lathe spindles, and validated by Arena simulation.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263688","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042429
B. Sun, P. Luh, Zheng O’Neill, Fangting Song
Buildings worldwide account for nearly 40% of global energy consumption. The biggest energy consumer in buildings is the Heating, Ventilation and Air Conditioning (HVAC) systems. HVAC also ranks top in terms of number of complaints by tenants. Maintaining HVAC systems in good conditions through early fault detection is thus a critical issue. The problem, however, is difficult since HVAC systems are large in scale, consisting of many coupling subsystems, building and equipment dependent, and operating under uncertain conditions. In this paper, a model-based and data-driven method is presented for robust system-level fault detection with potential for large-scale implementation. It is a synergistic integration of (1) Statistical Process Control (SPC) for measuring and analyzing variations; (2) Kalman filtering based on gray-box models to provide predictions and determine SPC control limits; and (3) system analysis for analyzing fault propagation. The method has been tested against a simulation model of a 420-meter-high building. It detects both sudden faults and gradual degradation, and differentiates faults within a subsystem or propagated from elsewhere. Furthermore, the method is simple and generic, and should have good replicability and scalability.
{"title":"Building energy doctors: SPC and Kalman filter-based fault detection","authors":"B. Sun, P. Luh, Zheng O’Neill, Fangting Song","doi":"10.1109/CASE.2011.6042429","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042429","url":null,"abstract":"Buildings worldwide account for nearly 40% of global energy consumption. The biggest energy consumer in buildings is the Heating, Ventilation and Air Conditioning (HVAC) systems. HVAC also ranks top in terms of number of complaints by tenants. Maintaining HVAC systems in good conditions through early fault detection is thus a critical issue. The problem, however, is difficult since HVAC systems are large in scale, consisting of many coupling subsystems, building and equipment dependent, and operating under uncertain conditions. In this paper, a model-based and data-driven method is presented for robust system-level fault detection with potential for large-scale implementation. It is a synergistic integration of (1) Statistical Process Control (SPC) for measuring and analyzing variations; (2) Kalman filtering based on gray-box models to provide predictions and determine SPC control limits; and (3) system analysis for analyzing fault propagation. The method has been tested against a simulation model of a 420-meter-high building. It detects both sudden faults and gradual degradation, and differentiates faults within a subsystem or propagated from elsewhere. Furthermore, the method is simple and generic, and should have good replicability and scalability.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128132130","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042463
Feng Ju, Junwen Wang, Jingshan Li, S. Biller, G. Xiao
In this paper, a virtual battery model, which provides a framework for simulation of batteries in electric vehicles, is introduced. Using such a framework, we can model the performance of a battery during its usage, such as battery charge, discharge, and idle status, the impacts of internal and external temperature, manufacturing quality on joints, the cell capacity and balance management, etc. Such a framework enables providing quantitative tools for design and production engineers to predict the battery performance and provide feedback to battery design, control and manufacturing processes.
{"title":"Virtual battery: A simulation framework for batteries in electric vehicles","authors":"Feng Ju, Junwen Wang, Jingshan Li, S. Biller, G. Xiao","doi":"10.1109/CASE.2011.6042463","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042463","url":null,"abstract":"In this paper, a virtual battery model, which provides a framework for simulation of batteries in electric vehicles, is introduced. Using such a framework, we can model the performance of a battery during its usage, such as battery charge, discharge, and idle status, the impacts of internal and external temperature, manufacturing quality on joints, the cell capacity and balance management, etc. Such a framework enables providing quantitative tools for design and production engineers to predict the battery performance and provide feedback to battery design, control and manufacturing processes.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132493029","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042482
Hao Liu, Qianchuan Zhao, Weihua Cao, N. Huang, Xiang Zhao
Manufacturing facility's energy consumption depends on series of factors such as machines and equipment used for production, manufacturing procedures, building design, outside weather conditions and indoor environmental requirements, where many of them are stochastic in nature, thus makes energy consumption optimization of manufacturing facility a very difficult and challenging problem. It is almost impossible to solve the problem via an analytical study, while experimental studies usually are very costly and time consuming. To overcome these difficulties, this paper proposes a simulation based approach to evaluate and optimize the energy consumption of a manufacturing facility, and we use a typical welding shop as an example. To achieve long term low energy consumption, we face a two-level optimization problem: the building design and daily production scheduling. In the proposed approach, we use EnergyPlus for integrated energy usage estimation and we apply Ordinal Optimization (OO) method and Genetic Algorithms (GA) for optimization of building design and production scheduling, respectively. Numerical examples and results are provided. The optimization concept and the modeling framework could be used for manufacturing facility design and production scheduling to minimize the total energy consumption while maintaining production throughput.
{"title":"Simulation based evaluation and optimization for energy consumption of a typical welding shop","authors":"Hao Liu, Qianchuan Zhao, Weihua Cao, N. Huang, Xiang Zhao","doi":"10.1109/CASE.2011.6042482","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042482","url":null,"abstract":"Manufacturing facility's energy consumption depends on series of factors such as machines and equipment used for production, manufacturing procedures, building design, outside weather conditions and indoor environmental requirements, where many of them are stochastic in nature, thus makes energy consumption optimization of manufacturing facility a very difficult and challenging problem. It is almost impossible to solve the problem via an analytical study, while experimental studies usually are very costly and time consuming. To overcome these difficulties, this paper proposes a simulation based approach to evaluate and optimize the energy consumption of a manufacturing facility, and we use a typical welding shop as an example. To achieve long term low energy consumption, we face a two-level optimization problem: the building design and daily production scheduling. In the proposed approach, we use EnergyPlus for integrated energy usage estimation and we apply Ordinal Optimization (OO) method and Genetic Algorithms (GA) for optimization of building design and production scheduling, respectively. Numerical examples and results are provided. The optimization concept and the modeling framework could be used for manufacturing facility design and production scheduling to minimize the total energy consumption while maintaining production throughput.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131851451","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042468
Byungjune Choi, W. You, S. Shin, H. Moon, J. Koo, W. Chung, Hyoukryeol Choi
In this research, we propose an innovative robotic platform for clinical tests suitable for small or medium sized laboratories using small-sized multiple mobile robots and a robotic arm. The proposed robotic platform is referred to as “BioRobot platform”. The BioRobot platform not only provides flexibility in test process by carrying out various clinical tests simultaneously through multiple mobile agents, but also increases productivity by having controllable throughput according to amount of tests. Therefore, the various algorithms which are related to robotic technologies have been applied in this platform to operate the entire hardware and several mobile agents simultaneously. To evaluate the performance of the BioRobot platform, various control methods are implemented, which provides parallel processing and scalability. The feasibility of the BioRobot platform with three mobile robotic agents is validated through preliminary experiments.
{"title":"Development of robotic laboratory automation platform with intelligent mobile agents for clinical chemistry","authors":"Byungjune Choi, W. You, S. Shin, H. Moon, J. Koo, W. Chung, Hyoukryeol Choi","doi":"10.1109/CASE.2011.6042468","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042468","url":null,"abstract":"In this research, we propose an innovative robotic platform for clinical tests suitable for small or medium sized laboratories using small-sized multiple mobile robots and a robotic arm. The proposed robotic platform is referred to as “BioRobot platform”. The BioRobot platform not only provides flexibility in test process by carrying out various clinical tests simultaneously through multiple mobile agents, but also increases productivity by having controllable throughput according to amount of tests. Therefore, the various algorithms which are related to robotic technologies have been applied in this platform to operate the entire hardware and several mobile agents simultaneously. To evaluate the performance of the BioRobot platform, various control methods are implemented, which provides parallel processing and scalability. The feasibility of the BioRobot platform with three mobile robotic agents is validated through preliminary experiments.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133654534","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042451
K. Thramboulidis, Doaa Soliman, Georg Frey
Legacy systems that do not conform to the norms and regulations imposed by recent safety standards have to be upgraded to meet safety requirements. In this paper, we describe a methodology to upgrade legacy industrial applications based on the IEC61131 function block model without the need to redesign the whole application. We then describe an approach for automating the verification process of safety applications that is based on the use of the UPPAAL simulation and verification platform for embedded real-time systems. The meta-models of the source and target domains are presented and a transformation process of the PLCopen XML design specification to UPPAAL XML specification is described. A laboratory system is used as a case study to demonstrate the applicability of the proposed process.
{"title":"Towards an automated verification process for industrial safety applications","authors":"K. Thramboulidis, Doaa Soliman, Georg Frey","doi":"10.1109/CASE.2011.6042451","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042451","url":null,"abstract":"Legacy systems that do not conform to the norms and regulations imposed by recent safety standards have to be upgraded to meet safety requirements. In this paper, we describe a methodology to upgrade legacy industrial applications based on the IEC61131 function block model without the need to redesign the whole application. We then describe an approach for automating the verification process of safety applications that is based on the use of the UPPAAL simulation and verification platform for embedded real-time systems. The meta-models of the source and target domains are presented and a transformation process of the PLCopen XML design specification to UPPAAL XML specification is described. A laboratory system is used as a case study to demonstrate the applicability of the proposed process.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116217801","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 : 2011-10-13DOI: 10.1109/CASE.2011.6042435
D. Meike, L. Ribickis
This paper presents the experimental and simulation results of industrial robot's recuperated energy saving approaches. Two complementary alternatives- a capacitive energy buffer on the robot's DC-bus is evaluated and a novel approach, the robot EnergyTeam has been proposed. The principle of robot EnergyTeam is the DC-bus merging among various number of industrial robot power controllers thus enabling a controlled energy flow among the robots that decelerate and, therefore, recuperate the energy and those that simultaneously require a peak power supply for the acceleration. Cost efficiency is estimated considering the characteristics in robotics of real production in the automobile industry.
{"title":"Recuperated energy savings potential and approaches in industrial robotics","authors":"D. Meike, L. Ribickis","doi":"10.1109/CASE.2011.6042435","DOIUrl":"https://doi.org/10.1109/CASE.2011.6042435","url":null,"abstract":"This paper presents the experimental and simulation results of industrial robot's recuperated energy saving approaches. Two complementary alternatives- a capacitive energy buffer on the robot's DC-bus is evaluated and a novel approach, the robot EnergyTeam has been proposed. The principle of robot EnergyTeam is the DC-bus merging among various number of industrial robot power controllers thus enabling a controlled energy flow among the robots that decelerate and, therefore, recuperate the energy and those that simultaneously require a peak power supply for the acceleration. Cost efficiency is estimated considering the characteristics in robotics of real production in the automobile industry.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114748945","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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