Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672888
C. Ling, J. Z. Lei
The time-variant fuzzy failure possibility (TVFFP) is first defined to evaluate the safety level of the time-variant structure under fuzzy input and fuzzy state. Then, the relation between the TVFFP and the time-variant failure possibility (TVFP) is derived. After that, the estimation of TVFFP is converted to that of a series of TVFPs via leveraging the Gaussian quadrature, on which the adaptive Kriging combined with fuzzy simulation method is proposed to efficiently estimate the TVFFP. The presented example demonstrates the effectiveness of the proposed method.
{"title":"Safety Evaluation of the Time-variant Structure Under Epistemic Uncertainty","authors":"C. Ling, J. Z. Lei","doi":"10.1109/IEEM50564.2021.9672888","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672888","url":null,"abstract":"The time-variant fuzzy failure possibility (TVFFP) is first defined to evaluate the safety level of the time-variant structure under fuzzy input and fuzzy state. Then, the relation between the TVFFP and the time-variant failure possibility (TVFP) is derived. After that, the estimation of TVFFP is converted to that of a series of TVFPs via leveraging the Gaussian quadrature, on which the adaptive Kriging combined with fuzzy simulation method is proposed to efficiently estimate the TVFFP. The presented example demonstrates the effectiveness of the proposed method.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1588-1592"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89803980","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673015
D. Lin, C. Yuan, Zhijian Chen
Nowadays, the facial recognition technology (FRT) is gradually being applied in our life. In order to better serve the campus life, this paper tries to understand and study the influencing factors on the adoption of FRT on campus. A structural equation model (SEM) approach is designed to quantify multiple influencing variables and figure out the relationships among each other. The data collection is obtained through questionnaires, and the representativeness of data is analyzed using SPSS software. After that, the data were modeled using the Amos toolkit. The results reveal that the core factors about the adoption of FRT on campus are privacy and promotion.
{"title":"Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM","authors":"D. Lin, C. Yuan, Zhijian Chen","doi":"10.1109/IEEM50564.2021.9673015","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673015","url":null,"abstract":"Nowadays, the facial recognition technology (FRT) is gradually being applied in our life. In order to better serve the campus life, this paper tries to understand and study the influencing factors on the adoption of FRT on campus. A structural equation model (SEM) approach is designed to quantify multiple influencing variables and figure out the relationships among each other. The data collection is obtained through questionnaires, and the representativeness of data is analyzed using SPSS software. After that, the data were modeled using the Amos toolkit. The results reveal that the core factors about the adoption of FRT on campus are privacy and promotion.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"9 1","pages":"367-371"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84483852","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672891
O. Ogunrinde, E. Shittu
This study evaluates the efficiencies of renewable energy adoption in different electricity markets in the U.S. Particularly, the study investigates how uncertainties in Renewable Portfolio Standards (RPS) mandates influence the adoption of renewable energy technologies in the markets. A stochastic Data Envelopment Analysis (DEA) method was employed by combing the traditional DEA approach with a Monte-Carlo simulation technique. The study found the regions covered by markets including SPP, MISO and NE-ISO to be DEA efficient. Compared to a deterministic model, the findings reveal further insights on the performance of Decision-Making Units (DMUs) across different scenarios. In addition, the stochastic model is also better able to discriminate among DMUs and more accurately capture the performance of these units over time. For each unit, the model provides a distribution of efficiencies and for those units operating below the efficient frontier, it also provides the average renewable energy capacity addition targets to be attained.
{"title":"Analysis of Renewable Energy Adoption Efficiencies Under Uncertainty Across Electricity Markets in the U.S.","authors":"O. Ogunrinde, E. Shittu","doi":"10.1109/IEEM50564.2021.9672891","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672891","url":null,"abstract":"This study evaluates the efficiencies of renewable energy adoption in different electricity markets in the U.S. Particularly, the study investigates how uncertainties in Renewable Portfolio Standards (RPS) mandates influence the adoption of renewable energy technologies in the markets. A stochastic Data Envelopment Analysis (DEA) method was employed by combing the traditional DEA approach with a Monte-Carlo simulation technique. The study found the regions covered by markets including SPP, MISO and NE-ISO to be DEA efficient. Compared to a deterministic model, the findings reveal further insights on the performance of Decision-Making Units (DMUs) across different scenarios. In addition, the stochastic model is also better able to discriminate among DMUs and more accurately capture the performance of these units over time. For each unit, the model provides a distribution of efficiencies and for those units operating below the efficient frontier, it also provides the average renewable energy capacity addition targets to be attained.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"6 1","pages":"613-617"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84865609","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673064
Supratik Chatterjee, A. Keprate
In the recent years, industries such as aeronautical, railway, and petroleum has transitioned from corrective/preventive maintenance to condition based maintenance (CBM). One of the enablers of CBM is Prognostics which primarily deals with prediction of remaining useful life of an engineering asset. Besides physics-based approaches, data driven methods are widely used for prognostics purposes, however the latter technique requires availability of run to failure datasets. In this manuscript authors have aimed at performing exploratory data analysis (EDA) on the New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset published by NASA. Although 8 datasets are publicly available, authors have chosen dataset 3 (DS03) for EDA in this paper which consists of 9.8 million instances and 47 features. The main aim of doing EDA is to gain better understanding of the dataset as it would facilitate in building a deep learning model that can be used for predicting RUL of the aircraft engines.
{"title":"Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics","authors":"Supratik Chatterjee, A. Keprate","doi":"10.1109/IEEM50564.2021.9673064","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673064","url":null,"abstract":"In the recent years, industries such as aeronautical, railway, and petroleum has transitioned from corrective/preventive maintenance to condition based maintenance (CBM). One of the enablers of CBM is Prognostics which primarily deals with prediction of remaining useful life of an engineering asset. Besides physics-based approaches, data driven methods are widely used for prognostics purposes, however the latter technique requires availability of run to failure datasets. In this manuscript authors have aimed at performing exploratory data analysis (EDA) on the New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset published by NASA. Although 8 datasets are publicly available, authors have chosen dataset 3 (DS03) for EDA in this paper which consists of 9.8 million instances and 47 features. The main aim of doing EDA is to gain better understanding of the dataset as it would facilitate in building a deep learning model that can be used for predicting RUL of the aircraft engines.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"854 1","pages":"1114-1121"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83512382","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672790
Mohammed Tousif Hyder, Carol Lobo, Tharun Sai Madupuru, S. Sudarshan, Majid Sodahi, O. F. Valilai
Sustainable development is progressing through all aspects of businesses. Sustainability assessment is considered as a significant appraisal evaluation approach that observes a system performance based on its three pillars criteria in the strategical layer standpoint. Also, there are various uncertainties for having a decent and cost-efficient supply chain network. This paper's goal is to overcome uncertainties by focusing on cloud manufacturing technology from one side and ensuring sustainability through the entire supply network from the other side. The paper has investigated to discover existing and upcoming tools and technologies that complement cloud manufacturing to enhance supplier and customer relations with the manufacturer. The paper has proposed a Collaborative Cloud Service Platform (CCSP) for proposing the best solution considering both sustainability and robust cloud service composition.
{"title":"Enabling Robust Service Composition in Cloud Manufacturing with Sustainability Considerations","authors":"Mohammed Tousif Hyder, Carol Lobo, Tharun Sai Madupuru, S. Sudarshan, Majid Sodahi, O. F. Valilai","doi":"10.1109/IEEM50564.2021.9672790","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672790","url":null,"abstract":"Sustainable development is progressing through all aspects of businesses. Sustainability assessment is considered as a significant appraisal evaluation approach that observes a system performance based on its three pillars criteria in the strategical layer standpoint. Also, there are various uncertainties for having a decent and cost-efficient supply chain network. This paper's goal is to overcome uncertainties by focusing on cloud manufacturing technology from one side and ensuring sustainability through the entire supply network from the other side. The paper has investigated to discover existing and upcoming tools and technologies that complement cloud manufacturing to enhance supplier and customer relations with the manufacturer. The paper has proposed a Collaborative Cloud Service Platform (CCSP) for proposing the best solution considering both sustainability and robust cloud service composition.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"47 1","pages":"792-795"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85877501","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672803
L. Silvestri, M. Santis, G. Bella
The possibility to use second-life spent batteries represents a global challenge for protecting the environment and promoting economic development. The present study aims to present an overview of available options for reusing EV batteries as storage system in a factory environment and to evaluate the techno-economic feasibility of a second-life battery energy storage system (BESS) enabling the electricity peak shaving strategy and/or the storage for standalone photovoltaic system in a modern ceramic manufacturing plant. Results show that spent batteries, derived from electric vehicles, can be used to store enough energy as BESS for a small-scale industrial application; furthermore, due to their low cost, spent batteries represent a favorable option in economic terms.
{"title":"Techno-economic Evaluation of a Second-life Battery Energy Storage System Enabling Peak Shaving and PV Integration in a Ceramic Manufacturing Plant","authors":"L. Silvestri, M. Santis, G. Bella","doi":"10.1109/IEEM50564.2021.9672803","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672803","url":null,"abstract":"The possibility to use second-life spent batteries represents a global challenge for protecting the environment and promoting economic development. The present study aims to present an overview of available options for reusing EV batteries as storage system in a factory environment and to evaluate the techno-economic feasibility of a second-life battery energy storage system (BESS) enabling the electricity peak shaving strategy and/or the storage for standalone photovoltaic system in a modern ceramic manufacturing plant. Results show that spent batteries, derived from electric vehicles, can be used to store enough energy as BESS for a small-scale industrial application; furthermore, due to their low cost, spent batteries represent a favorable option in economic terms.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"42 1","pages":"1566-1570"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85955646","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672814
G. Neto, L. H. Alencar, E. K. Rabbani, R. Valdes-Vasquez
The social sustainability pillar receives the least attention compared to the other pillars: environmental and economic. Nevertheless, the social pillar is fundamental to achieve the long-term objectives of construction projects. Thus, this study aims to support implementing social sustainability indicators in construction companies, contributing to more sustainable decisions. The GRI Standard's social sustainability indicators were classified in this study in three categories: (i) mandatory, (ii) which could or not be applied by the company, according to its priority, and; (iii) those not applicable for the region analyzed. For those that could be applicable, the FITradeoff method was applied to create a priority ranking accordingly to four criteria defined by the company's decision-maker: return over investment, marketing, the capacity of implementation, and team engagement. As a result, a company can implement these social indicators according to the obtained rank, enabling them to make more sustainable decisions.
{"title":"An Analysis of Social Sustainability Indicators Using FITradeoff Multicriteria Decision Method","authors":"G. Neto, L. H. Alencar, E. K. Rabbani, R. Valdes-Vasquez","doi":"10.1109/IEEM50564.2021.9672814","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672814","url":null,"abstract":"The social sustainability pillar receives the least attention compared to the other pillars: environmental and economic. Nevertheless, the social pillar is fundamental to achieve the long-term objectives of construction projects. Thus, this study aims to support implementing social sustainability indicators in construction companies, contributing to more sustainable decisions. The GRI Standard's social sustainability indicators were classified in this study in three categories: (i) mandatory, (ii) which could or not be applied by the company, according to its priority, and; (iii) those not applicable for the region analyzed. For those that could be applicable, the FITradeoff method was applied to create a priority ranking accordingly to four criteria defined by the company's decision-maker: return over investment, marketing, the capacity of implementation, and team engagement. As a result, a company can implement these social indicators according to the obtained rank, enabling them to make more sustainable decisions.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"8 1","pages":"457-461"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86810737","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672994
A. Toplu, H. Liu
One of the most important factors in a purchasing decision nowadays is the evaluation of comments online. Businesses or individuals use deceptive comments to mislead people for the sake of economic gain and thus hurt the benefit of the customers and the welfare of society. In this research, we propose a rule-based artificial intelligence (AI) machine learning (ML) architecture for online review fraud detection. The proposed methodology features an AI and ML hybrid architecture, where ML refers to the common well-developed machine learning models, and the AI part features a rules-based controller that prioritizes and customizes the fraud detection rules based on human intelligence to improve the accuracy of the result and computational efficiency.
{"title":"Designing a Deceptive Comment Detection Platform with a Rule-based Artificial Intelligent Architecture","authors":"A. Toplu, H. Liu","doi":"10.1109/IEEM50564.2021.9672994","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672994","url":null,"abstract":"One of the most important factors in a purchasing decision nowadays is the evaluation of comments online. Businesses or individuals use deceptive comments to mislead people for the sake of economic gain and thus hurt the benefit of the customers and the welfare of society. In this research, we propose a rule-based artificial intelligence (AI) machine learning (ML) architecture for online review fraud detection. The proposed methodology features an AI and ML hybrid architecture, where ML refers to the common well-developed machine learning models, and the AI part features a rules-based controller that prioritizes and customizes the fraud detection rules based on human intelligence to improve the accuracy of the result and computational efficiency.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1442-1445"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82951171","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672930
Y. Qin, H. Liu
This study investigates the application of value stream mapping (VSM) in the supply chain of an e-commerce retailer on Amazon to reduce waste and improve customer satisfaction. By visualizing the entire supply chain with VSM, the waste was identified in the delivery process from the retailer to the customer. The five-Whys method was then applied to find the root cause of the waste. Furthermore. a scoring method was developed to evaluate and compare the pros and cons offered by two supply chain operation models to identify an improvement strategy. It was demonstrated in the study that the VSM together with five-whys analysis helps to improve the quality of supply chain management, reduce lead time, and improve customers' satisfaction effectively.
{"title":"Application of Value Stream Mapping in Supply Chain: A Case Study on an Amazon Retail","authors":"Y. Qin, H. Liu","doi":"10.1109/IEEM50564.2021.9672930","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672930","url":null,"abstract":"This study investigates the application of value stream mapping (VSM) in the supply chain of an e-commerce retailer on Amazon to reduce waste and improve customer satisfaction. By visualizing the entire supply chain with VSM, the waste was identified in the delivery process from the retailer to the customer. The five-Whys method was then applied to find the root cause of the waste. Furthermore. a scoring method was developed to evaluate and compare the pros and cons offered by two supply chain operation models to identify an improvement strategy. It was demonstrated in the study that the VSM together with five-whys analysis helps to improve the quality of supply chain management, reduce lead time, and improve customers' satisfaction effectively.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"6 1","pages":"213-217"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78519706","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673060
L. Guan, A. Abbasi, M. Ryan
Projects are usually exposed to numerous and interdependent risks both internally and externally, making the project risk management process essential to the successful realization of project objectives. Instead of analyzing project risks individually, this paper presents a network-based approach to capturing complex risk interdependencies while prioritizing project risks, which is grounded in the theoretical framework of social network analysis and considers two typical dimensions (i.e., risk occurrence probability, and risk impact) of risk modeling. The concept of the design structure matrix is used to facilitate the establishment of a project risk interdependency network. Five risk indicators (e.g., risk degree centrality, risk betweenness centrality, risk closeness centrality, risk local influence, and risk global influence) are tailored and proposed to prioritize project risks, which can provide project decision makers with a more comprehensive understanding of the project risk profile. Appropriate risk mitigation actions can then be formulated to mainly control critical project risks. An application example is presented to illustrate the utility and validity of the proposed approach.
{"title":"Prioritizing Project Interdependent Risks: A Network-based Approach","authors":"L. Guan, A. Abbasi, M. Ryan","doi":"10.1109/IEEM50564.2021.9673060","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673060","url":null,"abstract":"Projects are usually exposed to numerous and interdependent risks both internally and externally, making the project risk management process essential to the successful realization of project objectives. Instead of analyzing project risks individually, this paper presents a network-based approach to capturing complex risk interdependencies while prioritizing project risks, which is grounded in the theoretical framework of social network analysis and considers two typical dimensions (i.e., risk occurrence probability, and risk impact) of risk modeling. The concept of the design structure matrix is used to facilitate the establishment of a project risk interdependency network. Five risk indicators (e.g., risk degree centrality, risk betweenness centrality, risk closeness centrality, risk local influence, and risk global influence) are tailored and proposed to prioritize project risks, which can provide project decision makers with a more comprehensive understanding of the project risk profile. Appropriate risk mitigation actions can then be formulated to mainly control critical project risks. An application example is presented to illustrate the utility and validity of the proposed approach.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"28 1","pages":"1513-1517"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81788945","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：