Pub Date : 2016-12-01DOI: 10.1109/IEEM.2016.7798203
Yibo Ai, Chang Sun, Hao Cui, Weidong Zhang
In operating conditions, real time non-destructive testing (NDT) is needed for the identification of tensile damage process of high-speed train gearbox shell. This paper focuses on the application of an acoustic emission (AE) method to study tensile damage. First, tensile tests with AE monitoring were employed to collect AE signals and tensile damage data. Second, feature extraction was performed to obtain feature vectors to characterize the process of tensile damage. Then, Support Vector Machines (SVM) and Weighted Support Vector Machines (WSVM) were used to identify different tensile damage stages of the material of high-speed train gearbox shell.
{"title":"Characterization and damage identification of acoustic emission signal in tensile process of the material of high-speed train gearbox shell","authors":"Yibo Ai, Chang Sun, Hao Cui, Weidong Zhang","doi":"10.1109/IEEM.2016.7798203","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798203","url":null,"abstract":"In operating conditions, real time non-destructive testing (NDT) is needed for the identification of tensile damage process of high-speed train gearbox shell. This paper focuses on the application of an acoustic emission (AE) method to study tensile damage. First, tensile tests with AE monitoring were employed to collect AE signals and tensile damage data. Second, feature extraction was performed to obtain feature vectors to characterize the process of tensile damage. Then, Support Vector Machines (SVM) and Weighted Support Vector Machines (WSVM) were used to identify different tensile damage stages of the material of high-speed train gearbox shell.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125774958","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798199
J. C. Chang, F. Sui, H. Hsiao, P. Y. Chiang
Almost every university of science and technology is currently implementing entrepreneurial education, but the outcome varies. The reason for this is that students taking the courses have varied background factors, resulting in differed intensities of entrepreneurial motivation (EM). The purpose of this study is to explore the entrepreneurial self-efficacy (ESE), creative tendency (CT), and EM, prediction of first-year students from a university of science and technology with different background variables. In addition, whether ESE and CT can enhance EM was predicted. Research conclusions: family business, entrepreneurial intentions, entrepreneurial potential, pre-entrepreneurship training, and risk-taking have a significantly positive impact on ESE, CT, and EM; entrepreneur competition has a significantly positive impact on CT and EM; entrepreneurial intentions, entrepreneurial potential, and risk-taking on EM reach the significant standard; entrepreneurial intentions, risk-taking, ESE, and CT reach the significant standard on entrepreneurial motivation.
{"title":"The important impact factors of entrepreneurial motivation for college students","authors":"J. C. Chang, F. Sui, H. Hsiao, P. Y. Chiang","doi":"10.1109/IEEM.2016.7798199","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798199","url":null,"abstract":"Almost every university of science and technology is currently implementing entrepreneurial education, but the outcome varies. The reason for this is that students taking the courses have varied background factors, resulting in differed intensities of entrepreneurial motivation (EM). The purpose of this study is to explore the entrepreneurial self-efficacy (ESE), creative tendency (CT), and EM, prediction of first-year students from a university of science and technology with different background variables. In addition, whether ESE and CT can enhance EM was predicted. Research conclusions: family business, entrepreneurial intentions, entrepreneurial potential, pre-entrepreneurship training, and risk-taking have a significantly positive impact on ESE, CT, and EM; entrepreneur competition has a significantly positive impact on CT and EM; entrepreneurial intentions, entrepreneurial potential, and risk-taking on EM reach the significant standard; entrepreneurial intentions, risk-taking, ESE, and CT reach the significant standard on entrepreneurial motivation.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124610582","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797912
Nattapon Jaisumroum, P. Chotiprayanakul, S. Limnararat
This paper presents a conceptual framework of a neural network control approach for robot manipulator cooperative, which is based on decentralized learning. Back propagation neural network is used for learning procedure to adapt and adjust the neuron-controller's parameters which depend on the approximated error. Dynamic model of two cooperating 3-DOF robot manipulators are defined and implement with neural network control. Visual feedback enables two robots to correct and calibrate their movement to compensate their object balancing task whereas both robots hold a flat plate balancing a round object on it. This conceptual framework of the decentralized learning procedure will be verified by a simulation and experiments in near future.
{"title":"A conceptual framework of decentralized learning neural network control approach for multi-robot cooperation in an object balancing task","authors":"Nattapon Jaisumroum, P. Chotiprayanakul, S. Limnararat","doi":"10.1109/IEEM.2016.7797912","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797912","url":null,"abstract":"This paper presents a conceptual framework of a neural network control approach for robot manipulator cooperative, which is based on decentralized learning. Back propagation neural network is used for learning procedure to adapt and adjust the neuron-controller's parameters which depend on the approximated error. Dynamic model of two cooperating 3-DOF robot manipulators are defined and implement with neural network control. Visual feedback enables two robots to correct and calibrate their movement to compensate their object balancing task whereas both robots hold a flat plate balancing a round object on it. This conceptual framework of the decentralized learning procedure will be verified by a simulation and experiments in near future.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129679705","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798174
C. Liu, X. Li, T. Liu, Y. W. Chen
The study aims to explore the influence of work-family conflicts on job involvement and organizational commitment, we also investigated the moderating effect of perceived supervisor support and the mediating effect of job satisfaction. 558 employees from small and middle size enterprise participated in our research, they came from 19 organizations including Eight different regions such as Beijing, Shenyang and Hangzhou. By hierarchical regression and bootstrapping, our hypotheses have been supported. Results showed that perceived supervisor support moderated the effect of work-family conflicts on job satisfaction. When perceived supervisor support is low, work-family conflicts negatively predicted job satisfaction; however, when perceived supervisor support is high, work-family conflicts had no effect on job satisfaction. We also supported the moderated mediation model, job satisfaction mediated the interaction of work-family conflicts and perceived supervisor support on job involvement and organizational commitment.
{"title":"Influence of work-family conflict on job involvement and organizational commitment: The moderating effect of perceived supervisor support and the mediating effect of job satisfaction","authors":"C. Liu, X. Li, T. Liu, Y. W. Chen","doi":"10.1109/IEEM.2016.7798174","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798174","url":null,"abstract":"The study aims to explore the influence of work-family conflicts on job involvement and organizational commitment, we also investigated the moderating effect of perceived supervisor support and the mediating effect of job satisfaction. 558 employees from small and middle size enterprise participated in our research, they came from 19 organizations including Eight different regions such as Beijing, Shenyang and Hangzhou. By hierarchical regression and bootstrapping, our hypotheses have been supported. Results showed that perceived supervisor support moderated the effect of work-family conflicts on job satisfaction. When perceived supervisor support is low, work-family conflicts negatively predicted job satisfaction; however, when perceived supervisor support is high, work-family conflicts had no effect on job satisfaction. We also supported the moderated mediation model, job satisfaction mediated the interaction of work-family conflicts and perceived supervisor support on job involvement and organizational commitment.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130075131","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797980
T. S. Nguyen, S. Mohamed, Anisur Rahman
This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment (QFD) concept, is applied to transfer company function department (CFD) requirements to suppliers' attributes. Finally, the Linguistic Ordered Weighted Averaging (LOWA) operator is applied for aggregating the linguistic opinions of the non-homogeneous group. The importance weightings of CFD requirements, criteria and final suppliers score are calculated by applying a mathematical algorithm.
{"title":"A hybrid supplier selection model considering non-homogeneous group decision makers","authors":"T. S. Nguyen, S. Mohamed, Anisur Rahman","doi":"10.1109/IEEM.2016.7797980","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797980","url":null,"abstract":"This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment (QFD) concept, is applied to transfer company function department (CFD) requirements to suppliers' attributes. Finally, the Linguistic Ordered Weighted Averaging (LOWA) operator is applied for aggregating the linguistic opinions of the non-homogeneous group. The importance weightings of CFD requirements, criteria and final suppliers score are calculated by applying a mathematical algorithm.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131060768","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798035
A. Agrawal, A. K. Dubey, P. Shrivastava
Metal matrix composites (MMCs) poses machining challenges by conventional methods due to its superior mechanical properties. Advanced machining processes (AMPs) are considered to be efficient to machine these MMCs. Electrical discharge machining (EDM) is one of such AMP which is most popular in the current industrial paradigm to machine these advanced materials. But, EDM also inherit the limitations such as low material removal rate (MRR) and high tool wear rate (TWR). Powder mixed EDM (PMEDM) process may help to enhance the productivity of EDM in terms of MRR and TWR. In the present research, the machining performances of copper-iron-graphite MMC using PMEDM have been investigated. Response surface models (RSMs) for MRR and TWR have been developed. Further, a hybrid approach of grey relational analysis, RSM and genetic algorithm has been used for multi-objective optimization of MRR and TWR.
{"title":"Intelligent modeling and multi-objective optimization of powder mixed electrical discharge diamond grinding of MMC","authors":"A. Agrawal, A. K. Dubey, P. Shrivastava","doi":"10.1109/IEEM.2016.7798035","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798035","url":null,"abstract":"Metal matrix composites (MMCs) poses machining challenges by conventional methods due to its superior mechanical properties. Advanced machining processes (AMPs) are considered to be efficient to machine these MMCs. Electrical discharge machining (EDM) is one of such AMP which is most popular in the current industrial paradigm to machine these advanced materials. But, EDM also inherit the limitations such as low material removal rate (MRR) and high tool wear rate (TWR). Powder mixed EDM (PMEDM) process may help to enhance the productivity of EDM in terms of MRR and TWR. In the present research, the machining performances of copper-iron-graphite MMC using PMEDM have been investigated. Response surface models (RSMs) for MRR and TWR have been developed. Further, a hybrid approach of grey relational analysis, RSM and genetic algorithm has been used for multi-objective optimization of MRR and TWR.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132461105","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797892
Hsiang-Ching Wang, Yi-Feng Hung, Hsiang-Hui Hung
In a large scale competition, the number of participants is too large to be completely reviewed by any evaluator, so dividing entire participants into several groups such that each of the evaluator reviews only a group serves as an alternative. However, in this case, an evaluator reviews and ranks only a portion of participants and the final result might be distorted. The focus of this study is on the methods of grouping participants and assignments of subgroups to evaluators. Under the assumption of not increasing the workload of evaluators, this study proposes a new method called sample ranking method, which according to simulation experiments yields better results than the commonly used ranking method.
{"title":"A ranking method for large scale competitions based on sample grouping","authors":"Hsiang-Ching Wang, Yi-Feng Hung, Hsiang-Hui Hung","doi":"10.1109/IEEM.2016.7797892","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797892","url":null,"abstract":"In a large scale competition, the number of participants is too large to be completely reviewed by any evaluator, so dividing entire participants into several groups such that each of the evaluator reviews only a group serves as an alternative. However, in this case, an evaluator reviews and ranks only a portion of participants and the final result might be distorted. The focus of this study is on the methods of grouping participants and assignments of subgroups to evaluators. Under the assumption of not increasing the workload of evaluators, this study proposes a new method called sample ranking method, which according to simulation experiments yields better results than the commonly used ranking method.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132954433","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797849
S. Chen, K. Tai, Z. Li
Resilience evaluation and enhancement has become a vital issue concerning the effectiveness of a current supply chain. This research paper proposes a multi-tier supplier selection policy for resilience enhancement as well as a customer-service-level oriented resilience measurement approach using on-time delivery rate as the indicator. A simple case study involving main supplier failure disturbance is designed and simulated with LeCas agent-based modelling tool to compare the efficacy of supply chains with various policy configuration. Results demonstrate that supply chain which adopts the proposed policy is more resilient than normal supply chain during an upstream disruption, with a reduction in recoverability index by a factor of 10. It also shows a significant decline in both maximum customer service level loss and recovery time.
{"title":"Evaluation of supply chain resilience enhancement with multi-tier supplier selection policy using agent-based modeling","authors":"S. Chen, K. Tai, Z. Li","doi":"10.1109/IEEM.2016.7797849","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797849","url":null,"abstract":"Resilience evaluation and enhancement has become a vital issue concerning the effectiveness of a current supply chain. This research paper proposes a multi-tier supplier selection policy for resilience enhancement as well as a customer-service-level oriented resilience measurement approach using on-time delivery rate as the indicator. A simple case study involving main supplier failure disturbance is designed and simulated with LeCas agent-based modelling tool to compare the efficacy of supply chains with various policy configuration. Results demonstrate that supply chain which adopts the proposed policy is more resilient than normal supply chain during an upstream disruption, with a reduction in recoverability index by a factor of 10. It also shows a significant decline in both maximum customer service level loss and recovery time.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133000210","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798211
S. Z. Zhang, C. K. M. Lee
Urban Last Mile Logistics (ULML) has been taking an increasingly important role alongside the development of e-commerce. The common delivery mode in the ULML is the Attended Home Delivery (AHD). However, such a delivery mode lacks flexibility, which means customers have to be waiting at home during certain time periods. Apart from AHD, another promising delivery mode is becoming available, which is the Shared Reception Box (SRB). SRB can release customers from time constraints and compensate the inflexibility of AHD so as to provide a satisfactory delivery. The theoretical research about the application of SRB is still rare, not to mention the integration of AHD and SRB. With this consideration, this paper aims to investigate this emerging technology and propose a mathematical model analyzing the integration effect of AHD and SRB in order to improve the overall efficiency of ULML.
{"title":"Flexible vehicle scheduling for Urban Last Mile Logistics: The emerging technology of Shared Reception Box","authors":"S. Z. Zhang, C. K. M. Lee","doi":"10.1109/IEEM.2016.7798211","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798211","url":null,"abstract":"Urban Last Mile Logistics (ULML) has been taking an increasingly important role alongside the development of e-commerce. The common delivery mode in the ULML is the Attended Home Delivery (AHD). However, such a delivery mode lacks flexibility, which means customers have to be waiting at home during certain time periods. Apart from AHD, another promising delivery mode is becoming available, which is the Shared Reception Box (SRB). SRB can release customers from time constraints and compensate the inflexibility of AHD so as to provide a satisfactory delivery. The theoretical research about the application of SRB is still rare, not to mention the integration of AHD and SRB. With this consideration, this paper aims to investigate this emerging technology and propose a mathematical model analyzing the integration effect of AHD and SRB in order to improve the overall efficiency of ULML.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131969657","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798145
X. Shang, G. X. Wang, S. Huang, D. Pei, Z. J. Ming, Y. Yan
Reconfigurable Machine Tool (RMT) has been recognized as effective equipment for dealing with the dynamic manufacturing requirements. For the problem how to decide RMT optimal configuration for requirement, we propose a method including both the function model and the decision-making stages. At first, Living System Theory is used to establish the function model, in which the integration of basic modules is archived as the elements to describe the RMT configuration. And Degree of Freedom is used to express the relative motion among the modules as the constraint for selection of feasible configurations. Then a decision model for configuration is constructed, while the economic cost and reconfigurability are used as the indexes. According to the decision model, the configuration with appropriate trade-off among indexes is decided from the feasible configurations, which is RMT optimal configuration for the requirement. The efficacy of this method is illustrated through a RMT configuration design example.
{"title":"A Method for configuration design of Reconfigurable Machine Tool","authors":"X. Shang, G. X. Wang, S. Huang, D. Pei, Z. J. Ming, Y. Yan","doi":"10.1109/IEEM.2016.7798145","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798145","url":null,"abstract":"Reconfigurable Machine Tool (RMT) has been recognized as effective equipment for dealing with the dynamic manufacturing requirements. For the problem how to decide RMT optimal configuration for requirement, we propose a method including both the function model and the decision-making stages. At first, Living System Theory is used to establish the function model, in which the integration of basic modules is archived as the elements to describe the RMT configuration. And Degree of Freedom is used to express the relative motion among the modules as the constraint for selection of feasible configurations. Then a decision model for configuration is constructed, while the economic cost and reconfigurability are used as the indexes. According to the decision model, the configuration with appropriate trade-off among indexes is decided from the feasible configurations, which is RMT optimal configuration for the requirement. The efficacy of this method is illustrated through a RMT configuration design example.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130804703","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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