Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607503
Soma Etemad, S. M. Limaei, L. Olsson, R. Yousefpour
This paper aims to determine the optimal stock level in Hyrcanian forest of Iran. In this study, a goal programming techniques used to estimate the optimum stock level of different tree species considering economics, environmental and social issues. We consider multiple objectives in the process of decision making to realize the balance of maximizing annual growth, net present value, carbon sequestration and labor. We use regression analysis to develop a forest growth model using allometric functions for the quantification of carbon budget. The expected mean price was estimated to determine the net present value of forest harvesting. We use Expert knowledge to weight the goals in order to generate the optimal stock level. Results show that the total optimum stock is 0.5%lower than based on questioners. The results indicate that goal programming is a suitable methodology in this case.
{"title":"Decision Making on Sustainable Forest Harvest Production Using Goal Programming Approach (Case Study: Iranian Hyrcanian Forest)","authors":"Soma Etemad, S. M. Limaei, L. Olsson, R. Yousefpour","doi":"10.1109/IEEM.2018.8607503","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607503","url":null,"abstract":"This paper aims to determine the optimal stock level in Hyrcanian forest of Iran. In this study, a goal programming techniques used to estimate the optimum stock level of different tree species considering economics, environmental and social issues. We consider multiple objectives in the process of decision making to realize the balance of maximizing annual growth, net present value, carbon sequestration and labor. We use regression analysis to develop a forest growth model using allometric functions for the quantification of carbon budget. The expected mean price was estimated to determine the net present value of forest harvesting. We use Expert knowledge to weight the goals in order to generate the optimal stock level. Results show that the total optimum stock is 0.5%lower than based on questioners. The results indicate that goal programming is a suitable methodology in this case.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123902727","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607468
Marcus Rohler, Vakul Kumar, C. Richter, G. Reinhart
Adhesives are gaining importance in different industries, but the planning of the bonding process is subject to a high degree of uncertainty caused by the complex flow behavior of adhesives. Therefor the shear-thinning behavior which characterizes many types of adhesives is integrated into the Implicit Incompressible Smoothed Particles Hydrodynamix (IISPH) approach, which is ideally suited for free surface flow scenarios through its mesh-less characteristics. While these particle-based methods are already being used in the real-time simulation of Newtonian fluids in computer graphics, their applicability in engineering disciplines and simulation of complex fluid flows still has to be tested. The Carreau model has already been validated experimentally for accurately portraying the shear-thinning behavior of adhesives. In this work the Carreau model is integrated into the IISPH solver and the simulation results are compared to an analytical solution of the Poiseuille pipe flow. This approach can then be applied to lower the uncertainty in the early phase of manufacturing planning and for simulation-based optimization approaches involving rheological flow behavior.
{"title":"A SPH Simulation Approach using the Carreau Model for the Free Surface Flow of Adhesives","authors":"Marcus Rohler, Vakul Kumar, C. Richter, G. Reinhart","doi":"10.1109/IEEM.2018.8607468","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607468","url":null,"abstract":"Adhesives are gaining importance in different industries, but the planning of the bonding process is subject to a high degree of uncertainty caused by the complex flow behavior of adhesives. Therefor the shear-thinning behavior which characterizes many types of adhesives is integrated into the Implicit Incompressible Smoothed Particles Hydrodynamix (IISPH) approach, which is ideally suited for free surface flow scenarios through its mesh-less characteristics. While these particle-based methods are already being used in the real-time simulation of Newtonian fluids in computer graphics, their applicability in engineering disciplines and simulation of complex fluid flows still has to be tested. The Carreau model has already been validated experimentally for accurately portraying the shear-thinning behavior of adhesives. In this work the Carreau model is integrated into the IISPH solver and the simulation results are compared to an analytical solution of the Poiseuille pipe flow. This approach can then be applied to lower the uncertainty in the early phase of manufacturing planning and for simulation-based optimization approaches involving rheological flow behavior.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124247447","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607818
A. Fagerstrøm, Ravikiran Vatrapu, J. O. Størksen
Companies have adopted and used social media channels for collaboration and engagement with potential customers, customer dialog management, and, creation of user communities for the customer support and co-creation. This study aims to expand understanding of social business processes for co-creation in the service industry. Findings from a case study showed that the banking and finance company in Norway manage to co-create value together with their users. Several new online products and services have been launched since the co-creation lab was launched. The banking and finance companies’ co-creation lab has a small, but stabile group of users. There are, however, findings that indicate that there could been achieved even more value in co-creation process through more and better interaction from the company’s side, as well as introducing an incentive arrangement for the users of the co-creation lab.
{"title":"Co-creation of Value Using Social Media in the Service Industry: An Empirical Case Study of Service Innovation in a Banking and Finance Company","authors":"A. Fagerstrøm, Ravikiran Vatrapu, J. O. Størksen","doi":"10.1109/IEEM.2018.8607818","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607818","url":null,"abstract":"Companies have adopted and used social media channels for collaboration and engagement with potential customers, customer dialog management, and, creation of user communities for the customer support and co-creation. This study aims to expand understanding of social business processes for co-creation in the service industry. Findings from a case study showed that the banking and finance company in Norway manage to co-create value together with their users. Several new online products and services have been launched since the co-creation lab was launched. The banking and finance companies’ co-creation lab has a small, but stabile group of users. There are, however, findings that indicate that there could been achieved even more value in co-creation process through more and better interaction from the company’s side, as well as introducing an incentive arrangement for the users of the co-creation lab.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121381035","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607354
Pengyu Zhu, J. Liyanage
Many safety instrumented systems (SIS) such as emergency shut down (ESD) are designed as low demand systems, whose functionalities are only triggered under certain conditions once or fewer times a year. Reliability levels of several critical low demand systems were observed to be high on the Norwegian continental shelf (NCS) over the last 15 years [1]. In general terms, there is a lack of confidence in whether the functionality of a low demand system can be initiated and how well the system can perform upon a real demand. This paper studies such challenges and suggests the application of prognostics and health management (PHM) to evaluate the function test interval instead of remaining useful lifetime. The value of condition data is justified and reflected in the estimation of failure rate and function test interval. The application of PHM to low demand systems can help enhance a company’s confidence in system availability and operational reliability and its adherence to a predictive maintenance practice.
{"title":"Application of Prognostics and Health Management to Low Demand Systems: Use of Condition Data to Help Determine Function Test Interval","authors":"Pengyu Zhu, J. Liyanage","doi":"10.1109/IEEM.2018.8607354","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607354","url":null,"abstract":"Many safety instrumented systems (SIS) such as emergency shut down (ESD) are designed as low demand systems, whose functionalities are only triggered under certain conditions once or fewer times a year. Reliability levels of several critical low demand systems were observed to be high on the Norwegian continental shelf (NCS) over the last 15 years [1]. In general terms, there is a lack of confidence in whether the functionality of a low demand system can be initiated and how well the system can perform upon a real demand. This paper studies such challenges and suggests the application of prognostics and health management (PHM) to evaluate the function test interval instead of remaining useful lifetime. The value of condition data is justified and reflected in the estimation of failure rate and function test interval. The application of PHM to low demand systems can help enhance a company’s confidence in system availability and operational reliability and its adherence to a predictive maintenance practice.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116217941","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607714
G. Schuh, C. Dölle, S. Barg, M. Kuhn, S. Breunig
In today’s unpredictable business environment, manufacturing companies are exposed to increasingly dynamic market conditions and volatilely changing customer expectations. Therefore, the modular product platform approach is increasingly gaining the focus of many industries in order to enable standardization and high level of product individuality at the same time. Especially in the development of new mechatronic products the fulfillment of product functions is realized in mechanics, electronics and software. Therefore, this paper presents a methodology for an increased efficiency of modular product platforms for mechatronic systems. In the first partial model, mechatronic systems are decomposed into individual mechatronic function modules. Subsequently, a classification for degrees of freedom in mechatronic systems is developed. In the third partial model, interactions of the specific degrees of freedom with regard to function fulfilment, costs and interdependencies are examined and represented by key figures. The restriction of systemic degrees of freedom is realized by means of a change propagation algorithm. In a final step, the overall system, consisting of individual mechatronic function modules, can be configured.
{"title":"Efficient Modular Product Platform Design of Mechatronic Systems","authors":"G. Schuh, C. Dölle, S. Barg, M. Kuhn, S. Breunig","doi":"10.1109/IEEM.2018.8607714","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607714","url":null,"abstract":"In today’s unpredictable business environment, manufacturing companies are exposed to increasingly dynamic market conditions and volatilely changing customer expectations. Therefore, the modular product platform approach is increasingly gaining the focus of many industries in order to enable standardization and high level of product individuality at the same time. Especially in the development of new mechatronic products the fulfillment of product functions is realized in mechanics, electronics and software. Therefore, this paper presents a methodology for an increased efficiency of modular product platforms for mechatronic systems. In the first partial model, mechatronic systems are decomposed into individual mechatronic function modules. Subsequently, a classification for degrees of freedom in mechatronic systems is developed. In the third partial model, interactions of the specific degrees of freedom with regard to function fulfilment, costs and interdependencies are examined and represented by key figures. The restriction of systemic degrees of freedom is realized by means of a change propagation algorithm. In a final step, the overall system, consisting of individual mechatronic function modules, can be configured.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513318","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607292
C. Hollauer, Julia Rast, U. Lindemann
Product development faces a conflict of increasing complexity in products and processes as well as a need for increased flexibility and agility. While structured reference processes create a baseline, their adaptation of tailoring for particular projects is necessary. While approaches for automated tailoring have been developed in the area of software engineering, these focus on automation and collaborative, social aspects of tailoring are thus far underrepresented. To address this issue, we present a workshop-based approach, which uses input generated by structural analysis of modeled tailoring decisions. The approach has been evaluated in two industrial case studies.
{"title":"Development and Evaluation of a Workshop Concept to Support Tailoring of Complex Product Development Processes","authors":"C. Hollauer, Julia Rast, U. Lindemann","doi":"10.1109/IEEM.2018.8607292","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607292","url":null,"abstract":"Product development faces a conflict of increasing complexity in products and processes as well as a need for increased flexibility and agility. While structured reference processes create a baseline, their adaptation of tailoring for particular projects is necessary. While approaches for automated tailoring have been developed in the area of software engineering, these focus on automation and collaborative, social aspects of tailoring are thus far underrepresented. To address this issue, we present a workshop-based approach, which uses input generated by structural analysis of modeled tailoring decisions. The approach has been evaluated in two industrial case studies.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121544117","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607827
Jing Jiang, Xiao Liu
Critical infrastructures are significant for national security, economic development and social stability. With the development of economic globalization and information technology, the increasing network complexity and dynamic information have brought challenges to generate data-driven defense strategies for an infrastructure network against multiple interdictions. In order to optimize the defense strategy dynamically, we develop a data-driven finite Bayesian Stackelberg game model among a defender and multiple interdictors. In this model, the defender, with incomplete information on the interdictors’ risk attitude and objective weight, initiates to improve the network performance in the most cost-effective way; whereas the interdictor, with incomplete information on the valuation of components and effectiveness ratio, follows to destroy the network structure in the most cost-effective way. Over the dynamic interactions among the defender and multiple interdictors, the interdictor’s knowledge of the effectiveness ratio is updated by Bayesian updating rule. In order to solve the proposed model, smallest-depth binary-partition based hierarchical algorithm is developed to obtain the strong Stackelberg equilibrium. Finally, the practical applicability is demonstrated by a case study of Zhi Jiang network.
{"title":"Data-driven Defense Strategies for an Infrastructure Network against Multiple Interdictions","authors":"Jing Jiang, Xiao Liu","doi":"10.1109/IEEM.2018.8607827","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607827","url":null,"abstract":"Critical infrastructures are significant for national security, economic development and social stability. With the development of economic globalization and information technology, the increasing network complexity and dynamic information have brought challenges to generate data-driven defense strategies for an infrastructure network against multiple interdictions. In order to optimize the defense strategy dynamically, we develop a data-driven finite Bayesian Stackelberg game model among a defender and multiple interdictors. In this model, the defender, with incomplete information on the interdictors’ risk attitude and objective weight, initiates to improve the network performance in the most cost-effective way; whereas the interdictor, with incomplete information on the valuation of components and effectiveness ratio, follows to destroy the network structure in the most cost-effective way. Over the dynamic interactions among the defender and multiple interdictors, the interdictor’s knowledge of the effectiveness ratio is updated by Bayesian updating rule. In order to solve the proposed model, smallest-depth binary-partition based hierarchical algorithm is developed to obtain the strong Stackelberg equilibrium. Finally, the practical applicability is demonstrated by a case study of Zhi Jiang network.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"20 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113979036","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607462
M. Bogalecka, Krysztof Kotowrocki
General model of critical infrastructure accident consequences is presented. Its application to the prediction of environment losses associated with the chemical releases generated by ship critical infrastructure network operating at the Baltic Sea is presented. The cost analysis of these environment losses, without and with considering the climate-weather impact, is performed.
{"title":"Prediction of Critical Infrastructure Accident Losses of Chemical Releases Impacted by Climate-Weather Change","authors":"M. Bogalecka, Krysztof Kotowrocki","doi":"10.1109/IEEM.2018.8607462","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607462","url":null,"abstract":"General model of critical infrastructure accident consequences is presented. Its application to the prediction of environment losses associated with the chemical releases generated by ship critical infrastructure network operating at the Baltic Sea is presented. The cost analysis of these environment losses, without and with considering the climate-weather impact, is performed.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881069","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607392
M. Jongprasithporn, N. Yodpijit, J. Pinitlertsakun, Juthamas Siriwatsopon, G. Guerra, Teppakorn Sittiwanchai
Prostheses are designed to replace the missing parts of body, and to increase abilities to perform daily activities. Research suggests that using powered prostheses will help improve the quality of life for the end users. Many powered prostheses have focused on only technical approaches, resulting on a lack of user acceptance. The major purpose of this research project is to provide the design of powered transfemoral prosthesis based upon human factors engineering and ergonomics approach for product design and development. Results from this study indicate that this method can be utilized to aid in the design of a microprocessor-controlled powered transfemoral prosthesis and play a significant role for product development.
{"title":"Human Factors Approach for Powered Transfemoral Prostheses Conceptual Design","authors":"M. Jongprasithporn, N. Yodpijit, J. Pinitlertsakun, Juthamas Siriwatsopon, G. Guerra, Teppakorn Sittiwanchai","doi":"10.1109/IEEM.2018.8607392","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607392","url":null,"abstract":"Prostheses are designed to replace the missing parts of body, and to increase abilities to perform daily activities. Research suggests that using powered prostheses will help improve the quality of life for the end users. Many powered prostheses have focused on only technical approaches, resulting on a lack of user acceptance. The major purpose of this research project is to provide the design of powered transfemoral prosthesis based upon human factors engineering and ergonomics approach for product design and development. Results from this study indicate that this method can be utilized to aid in the design of a microprocessor-controlled powered transfemoral prosthesis and play a significant role for product development.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124265510","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607408
Bohua Shao, K. Asatani, I. Sakata
Mergers and Acquisitions (M&A) are recognized important strategy for corporate growth. In practice, M&A business consumes much energy and M&A success rate is not high. Hence, scientific M&A recommendation research is needed under such condition. This paper, focusing on M&A categorization, is a fundamental research for M&A prediction and recommendation. In this paper, we used M&A data, financial data and corporate data for M&A analysis. Based on them, we designed 13 features and used K-means clustering to separate M&A cases. The 13 features are of acquirer features, target features and their relationship features. We grouped M&A cases into 5 clusters and found different characteristics in these 5 clusters. Results in this paper show that these features will be effective for future M&A prediction and recommendation.
{"title":"Categorization of Mergers and Acquisitions in Japan Using Corporate Databases: A Fundamental Research for Prediction","authors":"Bohua Shao, K. Asatani, I. Sakata","doi":"10.1109/IEEM.2018.8607408","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607408","url":null,"abstract":"Mergers and Acquisitions (M&A) are recognized important strategy for corporate growth. In practice, M&A business consumes much energy and M&A success rate is not high. Hence, scientific M&A recommendation research is needed under such condition. This paper, focusing on M&A categorization, is a fundamental research for M&A prediction and recommendation. In this paper, we used M&A data, financial data and corporate data for M&A analysis. Based on them, we designed 13 features and used K-means clustering to separate M&A cases. The 13 features are of acquirer features, target features and their relationship features. We grouped M&A cases into 5 clusters and found different characteristics in these 5 clusters. Results in this paper show that these features will be effective for future M&A prediction and recommendation.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124343482","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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