Pub Date : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309871
Subrato Mondal, Goutam Sen
We consider the scalability issues in the static data segment location problem in information networks and provide integer linear programming (ILP) formulations for user aggregation. We explore three approaches based on k-means clustering, locality-of-reference and biased locality of reference. The second and third approaches are innovatively modeled as discrete optimization problems. The models are tested in IBM ILOG CPLEX Optimization Studio platform and the computational results are discussed in this paper.
{"title":"User Aggregation Models for a Video-on-Demand (VoD) System","authors":"Subrato Mondal, Goutam Sen","doi":"10.1109/IEEM45057.2020.9309871","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309871","url":null,"abstract":"We consider the scalability issues in the static data segment location problem in information networks and provide integer linear programming (ILP) formulations for user aggregation. We explore three approaches based on k-means clustering, locality-of-reference and biased locality of reference. The second and third approaches are innovatively modeled as discrete optimization problems. The models are tested in IBM ILOG CPLEX Optimization Studio platform and the computational results are discussed in this paper.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121898368","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309890
M. Bonini, J. Schuhmacher, Augusto Urru, Jan Philipp Wezel, V. Hummel, W. Echelmeyer
In this paper, a method for hybrid short- to long-term planning of available resources for operations is presented, which is based on a known or deterministically forecasted but highly variable demand. The method considers quantitative measures such as the performance and the availability of resources, ergonomically relevant KPI and ultimately process costs in order to serve as a pragmatic planning tool for operations managers in SMEs. Specifically, the method enables exploiting the ergonomic advantages of available flexible automation technology (e.g. AGVs or picking robots), while assuring that these do not represent a capacity bottleneck. After presenting the method along with the necessary assumptions, mainly concerning the availability of data for the calculations, we report a case study that quantifies the impact of throughput variability on the selection of different process alternatives, where different teams of resources are used.
{"title":"Planning of Available Resources Considering Ergonomics Under Deterministic Highly Variable Demand","authors":"M. Bonini, J. Schuhmacher, Augusto Urru, Jan Philipp Wezel, V. Hummel, W. Echelmeyer","doi":"10.1109/IEEM45057.2020.9309890","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309890","url":null,"abstract":"In this paper, a method for hybrid short- to long-term planning of available resources for operations is presented, which is based on a known or deterministically forecasted but highly variable demand. The method considers quantitative measures such as the performance and the availability of resources, ergonomically relevant KPI and ultimately process costs in order to serve as a pragmatic planning tool for operations managers in SMEs. Specifically, the method enables exploiting the ergonomic advantages of available flexible automation technology (e.g. AGVs or picking robots), while assuring that these do not represent a capacity bottleneck. After presenting the method along with the necessary assumptions, mainly concerning the availability of data for the calculations, we report a case study that quantifies the impact of throughput variability on the selection of different process alternatives, where different teams of resources are used.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122708964","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309868
S. Nagayoshi, J. Nakamura
It is important for companies to adapt to changes in the business environment to gain or maintain a sustainable competitive advantage. In other words, they need to augment their management base by upgrading their current businesses and finding new business opportunities in line with future corporate growth and life cycles. However, it is difficult to achieve these objectives concurrently. In this study, we present a case of a Japanese company that has grown as a measure of information sharing and organizational learning from failure. We aim to explain how organizational learning from failure has led to ambidexterity, which consists of exploration and exploitation; we also examine whether organizational learning from failure is effective in exploration and exploitation. We used a quantitative approach through surveys and analysis of covariance structure. As a result, we find that organizational learning from failure is more effective for exploitation than for exploration in this company.
{"title":"Organizational Learning from Failure Can Augment Ambidexterity: Evidence from Japan","authors":"S. Nagayoshi, J. Nakamura","doi":"10.1109/IEEM45057.2020.9309868","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309868","url":null,"abstract":"It is important for companies to adapt to changes in the business environment to gain or maintain a sustainable competitive advantage. In other words, they need to augment their management base by upgrading their current businesses and finding new business opportunities in line with future corporate growth and life cycles. However, it is difficult to achieve these objectives concurrently. In this study, we present a case of a Japanese company that has grown as a measure of information sharing and organizational learning from failure. We aim to explain how organizational learning from failure has led to ambidexterity, which consists of exploration and exploitation; we also examine whether organizational learning from failure is effective in exploration and exploitation. We used a quantitative approach through surveys and analysis of covariance structure. As a result, we find that organizational learning from failure is more effective for exploitation than for exploration in this company.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719496","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309865
Vaishnavy Perinparajah, H. Perera, J. Sudusinghe, Uthpalee Hewage
Organizations, suppliers and consumers are highly sensitive towards environmental impacts arising from their operations today. Under this context, green consumption and the green packaging are gaining popularity among consumers. This research evaluates young educated consumer perception towards green packaging in Sri Lanka. A survey was conducted targeting university students who are reading for an undergraduate degree in Sri Lanka. Demographical information, attitudes and beliefs, knowledge about environmental sustainability, environmental awareness, and factors influencing their consumer behavior towards green packaging were collected through the survey. The data was analyzed using the Analytical Hierarchical Process. The findings of the research help understand main factors which influence the young educated consumer behavior towards green packaging and the level of influence of each factor. The analysis also reveals the hindrances and challenges withholding the use of green packaging.
{"title":"Young Consumers’ Perception Towards Downstream Green Supply Chain Practices","authors":"Vaishnavy Perinparajah, H. Perera, J. Sudusinghe, Uthpalee Hewage","doi":"10.1109/IEEM45057.2020.9309865","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309865","url":null,"abstract":"Organizations, suppliers and consumers are highly sensitive towards environmental impacts arising from their operations today. Under this context, green consumption and the green packaging are gaining popularity among consumers. This research evaluates young educated consumer perception towards green packaging in Sri Lanka. A survey was conducted targeting university students who are reading for an undergraduate degree in Sri Lanka. Demographical information, attitudes and beliefs, knowledge about environmental sustainability, environmental awareness, and factors influencing their consumer behavior towards green packaging were collected through the survey. The data was analyzed using the Analytical Hierarchical Process. The findings of the research help understand main factors which influence the young educated consumer behavior towards green packaging and the level of influence of each factor. The analysis also reveals the hindrances and challenges withholding the use of green packaging.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125226765","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309951
Wen Wang, Hao Hu, JiaChun Zhang, Zhenzhong Hu
This study analyses the characteristics and theoretical basis of green building maintenance system (GBMS) and proposes a digital twin(DT)-based framework for GBMS (DT-GBMS). This framework helps operation teams solve the problem of insufficient informatization and automatic management ability of green building maintenance. Besides, the structure of DT-GBMS is designed in detail according to practical usage. Finally, a prototype based on Bentley Systems software is developed by using 3D laser scanner and sensors to verify the feasibility of the proposed framework. The results indicate that the DT-GBMS can reflect the accurate and real-time status of green buildings and is able to improve the efficiency of green building maintenance by automatic management.
{"title":"Digital Twin-based Framework for Green Building Maintenance System","authors":"Wen Wang, Hao Hu, JiaChun Zhang, Zhenzhong Hu","doi":"10.1109/IEEM45057.2020.9309951","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309951","url":null,"abstract":"This study analyses the characteristics and theoretical basis of green building maintenance system (GBMS) and proposes a digital twin(DT)-based framework for GBMS (DT-GBMS). This framework helps operation teams solve the problem of insufficient informatization and automatic management ability of green building maintenance. Besides, the structure of DT-GBMS is designed in detail according to practical usage. Finally, a prototype based on Bentley Systems software is developed by using 3D laser scanner and sensors to verify the feasibility of the proposed framework. The results indicate that the DT-GBMS can reflect the accurate and real-time status of green buildings and is able to improve the efficiency of green building maintenance by automatic management.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303133","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309817
S. Mak, Chiho Li, Wai Fan Tang, M. Wu, C. W. Lai
The competition of manufacturing industry becomes serious and the enterprises are seeking for new opportunities to improve their competitiveness. The information and automation technologies are one of the possible solutions to improve the efficiency and competitiveness of manufacturers. This paper firstly reviews how both theoretical models, technology acceptance model (TAM) and diffusion of innovation (DOI) to affect the application of technology. Then the German and China governmental policies are discussed and the current situation of using information and automation technology in manufacturing operation are discussed. Finally how the application of technology improving productivity is concluded.
{"title":"Adoption of Information Technology in Modern Manufacturing Operation","authors":"S. Mak, Chiho Li, Wai Fan Tang, M. Wu, C. W. Lai","doi":"10.1109/IEEM45057.2020.9309817","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309817","url":null,"abstract":"The competition of manufacturing industry becomes serious and the enterprises are seeking for new opportunities to improve their competitiveness. The information and automation technologies are one of the possible solutions to improve the efficiency and competitiveness of manufacturers. This paper firstly reviews how both theoretical models, technology acceptance model (TAM) and diffusion of innovation (DOI) to affect the application of technology. Then the German and China governmental policies are discussed and the current situation of using information and automation technology in manufacturing operation are discussed. Finally how the application of technology improving productivity is concluded.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125865716","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309799
Janne Härkönen, Erno Mustonen, J. Koskinen, Hannu Hannila
Digitalizing business analytics by generating relevant information from data to gain valuable insights and to enhance decision-making is a key ability for companies. We describe a potential concept for digitizing company analytics to enable data-driven approach by providing a path from information needs to visualizing the analysis results, including the consideration of analysis logic, relevant data, and necessary data model. Company business processes, IT applications, and data assets provide the foundations to build upon. The developed concept may enable practitioners to consider possible applications and the needed, already existing technologies.
{"title":"Digitizing Company Analytics – Digitalization Concept for Valuable Insights","authors":"Janne Härkönen, Erno Mustonen, J. Koskinen, Hannu Hannila","doi":"10.1109/IEEM45057.2020.9309799","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309799","url":null,"abstract":"Digitalizing business analytics by generating relevant information from data to gain valuable insights and to enhance decision-making is a key ability for companies. We describe a potential concept for digitizing company analytics to enable data-driven approach by providing a path from information needs to visualizing the analysis results, including the consideration of analysis logic, relevant data, and necessary data model. Company business processes, IT applications, and data assets provide the foundations to build upon. The developed concept may enable practitioners to consider possible applications and the needed, already existing technologies.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125013384","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309955
Xueyu Meng, Huiying Cao, Muhammad Rashid Bhatti, Zhiqiang Cai
In this paper, we propose an evolutionary game model of epidemic vaccination strategies considering neutral strategy on the homogeneous network. By establishing a state layer and a strategy layer for each individual in the network, we conduct an evolutionary game analysis of epidemic vaccination strategies. Firstly, we take into account various factors such as vaccination effectiveness, government subsidy rate, treatment discount rate, vaccination cost and treatment cost based on the traditional SIR model. We fully analyze various risk factors affecting vaccination. In the strategy layer, we introduce a new neutral strategy. Then, we analyze the proportion of individuals and game benefit of each strategy and use the mean field theory to establish a dynamic equation based on the proposed model. Simulation results show that in order to increase the number of individuals vaccinated when the network evolution is stable, the vaccination effectiveness should be increased and vaccination cost should be reduced. For government decision making, choosing the appropriate vaccination cost determines whether the network evolves towards vaccination strategy.
{"title":"Evolutionary Analysis of Vaccination Strategies for Infectious Diseases Considering Neutral Strategy","authors":"Xueyu Meng, Huiying Cao, Muhammad Rashid Bhatti, Zhiqiang Cai","doi":"10.1109/IEEM45057.2020.9309955","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309955","url":null,"abstract":"In this paper, we propose an evolutionary game model of epidemic vaccination strategies considering neutral strategy on the homogeneous network. By establishing a state layer and a strategy layer for each individual in the network, we conduct an evolutionary game analysis of epidemic vaccination strategies. Firstly, we take into account various factors such as vaccination effectiveness, government subsidy rate, treatment discount rate, vaccination cost and treatment cost based on the traditional SIR model. We fully analyze various risk factors affecting vaccination. In the strategy layer, we introduce a new neutral strategy. Then, we analyze the proportion of individuals and game benefit of each strategy and use the mean field theory to establish a dynamic equation based on the proposed model. Simulation results show that in order to increase the number of individuals vaccinated when the network evolution is stable, the vaccination effectiveness should be increased and vaccination cost should be reduced. For government decision making, choosing the appropriate vaccination cost determines whether the network evolves towards vaccination strategy.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897688","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309798
Shuyi Pu, J. Lam
With continuous overcapacity in vessel tonnage and slower growth of global trade, shipowners are facing fierce competition and are pushed to look for innovative ways to improve their performance and reduce costs. Blockchain is one of the emerging technologies that has the potential to help shipowners to achieve these goals. This study aims to analyse if and when shipowners would adopt blockchain when facing a request from a big shipper. A game theory model is developed to analyse the optimal adoption time of shipowners. The analytical solutions of the optimal adoption time of each shipowner are obtained in different situations. The numerical analysis reveals that the higher shipping quantity carried by the shipowners, the earlier they would join the blockchain network. Shipowners with very small shipping quantities would be unlikely to adopt blockchain until more than a decade later. It is suggested that blockchain initiators should start with large shipowners when promoting blockchain.
{"title":"Blockchain Adoption Time of Shipowners: A Game Theoretic Analysis","authors":"Shuyi Pu, J. Lam","doi":"10.1109/IEEM45057.2020.9309798","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309798","url":null,"abstract":"With continuous overcapacity in vessel tonnage and slower growth of global trade, shipowners are facing fierce competition and are pushed to look for innovative ways to improve their performance and reduce costs. Blockchain is one of the emerging technologies that has the potential to help shipowners to achieve these goals. This study aims to analyse if and when shipowners would adopt blockchain when facing a request from a big shipper. A game theory model is developed to analyse the optimal adoption time of shipowners. The analytical solutions of the optimal adoption time of each shipowner are obtained in different situations. The numerical analysis reveals that the higher shipping quantity carried by the shipowners, the earlier they would join the blockchain network. Shipowners with very small shipping quantities would be unlikely to adopt blockchain until more than a decade later. It is suggested that blockchain initiators should start with large shipowners when promoting blockchain.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116021263","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309864
Hou-ping Tian, Shuang Zheng, Chun-fang Jiang, Chang-xian Liu
B2C platform, who provides unprecedented opportunities to enterprises to directly access to the customers, often has resale channel and direct channel simultaneously. In resale channel it purchases the products from the manufacturer and then resells them to the customers; in direct channel it offers the platform to the manufacturer to sell directly and charges the manufacturer a proportion of fees. Since products sell via both channels, a challenging problem to B2C platform is that when should it implement equal pricing strategy (i.e., the retail price equals to the direct selling price) or free pricing strategy (they set the prices respectively). We compare the pricing strategies by using game-theoretical model. Analyses show two interesting findings: Firstly, equal pricing strategy can mitigate channel conflict; however, it does not necessarily increase B2C platform’s profits. Secondly, the choice of pricing strategy is affected by the customers’ channel preference: B2C platform prefers equal pricing strategy only when customers are resale channel oriented; otherwise it prefers free pricing strategy. However, to the manufacturer, it always prefers free pricing strategy and enjoys the freedom.
{"title":"Equal Pricing or Free Pricing? The Pricing Strategies of B2C Platform","authors":"Hou-ping Tian, Shuang Zheng, Chun-fang Jiang, Chang-xian Liu","doi":"10.1109/IEEM45057.2020.9309864","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309864","url":null,"abstract":"B2C platform, who provides unprecedented opportunities to enterprises to directly access to the customers, often has resale channel and direct channel simultaneously. In resale channel it purchases the products from the manufacturer and then resells them to the customers; in direct channel it offers the platform to the manufacturer to sell directly and charges the manufacturer a proportion of fees. Since products sell via both channels, a challenging problem to B2C platform is that when should it implement equal pricing strategy (i.e., the retail price equals to the direct selling price) or free pricing strategy (they set the prices respectively). We compare the pricing strategies by using game-theoretical model. Analyses show two interesting findings: Firstly, equal pricing strategy can mitigate channel conflict; however, it does not necessarily increase B2C platform’s profits. Secondly, the choice of pricing strategy is affected by the customers’ channel preference: B2C platform prefers equal pricing strategy only when customers are resale channel oriented; otherwise it prefers free pricing strategy. However, to the manufacturer, it always prefers free pricing strategy and enjoys the freedom.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122588809","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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