Pub Date : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00061
K. Meesublak, Tosapol Klinsukont
Cyber-Physical System (CPS) is considered as one of the main enablers for Industry 4.0. CPS technology integrates knowledge from multiple domains, and bridges the gap between the Physical and the Cyber worlds. Predictive Maintenance (PdM), a crucial application within Industry 4.0, can take a CPS-based approach with intelligent operations to minimize machine downtimes and associated costs. This paper discusses challenges of PdM implementation and evaluates performance of the Convolutional Neural Network (CNN) algorithm in fault diagnosis of a PdM system.
{"title":"A Cyber-Physical System Approach for Predictive Maintenance","authors":"K. Meesublak, Tosapol Klinsukont","doi":"10.1109/SmartIoT49966.2020.00061","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00061","url":null,"abstract":"Cyber-Physical System (CPS) is considered as one of the main enablers for Industry 4.0. CPS technology integrates knowledge from multiple domains, and bridges the gap between the Physical and the Cyber worlds. Predictive Maintenance (PdM), a crucial application within Industry 4.0, can take a CPS-based approach with intelligent operations to minimize machine downtimes and associated costs. This paper discusses challenges of PdM implementation and evaluates performance of the Convolutional Neural Network (CNN) algorithm in fault diagnosis of a PdM system.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114981197","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 : 2020-08-01DOI: 10.1109/smartiot49966.2020.00009
{"title":"Keynote Speakers [6 Abstracts]","authors":"","doi":"10.1109/smartiot49966.2020.00009","DOIUrl":"https://doi.org/10.1109/smartiot49966.2020.00009","url":null,"abstract":"","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526067","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00014
Zhengyang Gu, Kehua Jiang, Qi Zhou
Healthcare Internet of Things (HIoT) can connect mobile and wearable devices in the medical field, making disease monitoring and diagnosis possible anytime and anywhere. Most of these mobile and wearable devices can collect physiological signals of the human body in real time. Among them, ECG signal as a non-invasively collected signal that can effectively reflect the physiological changes of the heart plays a vital role in clinical and HIoT. We firstly propose a practical ECG monitoring system based on Humeds Portable ECG Monitor. Secondly, based on wavelet transform (WT) and deep convolutional neural network (DCNN), we propose a new algorithm suitable for the diagnosis of atrial fibrillation (AF) and arrhythmia. The sensitivity of AF is 0.978 and the accuracy rate of arrhythmia diagnosis is 0.991. Thirdly, we collected ECG data from 17 volunteers and verified the AF algorithm, the final average accuracy is 0.852. The ECG monitoring system designed in this paper can be used as a complete and effective application of HIoT. The algorithm designed in this paper is not only applicable to the ECG monitoring system proposed but also can be integrated as a potential algorithm in other ECG mobile and wearable devices.
{"title":"A Novel Diagnostic Algorithm for Heart Disease in ECG Monitoring System","authors":"Zhengyang Gu, Kehua Jiang, Qi Zhou","doi":"10.1109/SmartIoT49966.2020.00014","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00014","url":null,"abstract":"Healthcare Internet of Things (HIoT) can connect mobile and wearable devices in the medical field, making disease monitoring and diagnosis possible anytime and anywhere. Most of these mobile and wearable devices can collect physiological signals of the human body in real time. Among them, ECG signal as a non-invasively collected signal that can effectively reflect the physiological changes of the heart plays a vital role in clinical and HIoT. We firstly propose a practical ECG monitoring system based on Humeds Portable ECG Monitor. Secondly, based on wavelet transform (WT) and deep convolutional neural network (DCNN), we propose a new algorithm suitable for the diagnosis of atrial fibrillation (AF) and arrhythmia. The sensitivity of AF is 0.978 and the accuracy rate of arrhythmia diagnosis is 0.991. Thirdly, we collected ECG data from 17 volunteers and verified the AF algorithm, the final average accuracy is 0.852. The ECG monitoring system designed in this paper can be used as a complete and effective application of HIoT. The algorithm designed in this paper is not only applicable to the ECG monitoring system proposed but also can be integrated as a potential algorithm in other ECG mobile and wearable devices.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346551","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00068
Natapon Tansangworn
Wireless sensor network (WSN) is spatially distributed sensor for monitoring and recording the physical conditions of the environment. The organization of distributed sensor is essential for industrial, building, and agriculture. However, Creating systems for separately placed sensor nodes which gather and share data are complicated. Here we show the develop of IoT edge hub based on docker containers for Wireless sensor networks. The Edge hub is a lightweight system for real-time monitoring which is consist of broker, storage, rule engine and visualization. The Internet of things (IoT) and wireless sensor network Internet of things (IoT) and wireless sensor network are combined in an edge hub for data transmission in global and local area network. Furthermore, the edge hub using docker containers and deployed using Docker Swarm-based orchestration. we have implemented an edge hub prototype based on docker container. Our discuss the prototype implementation of edge hub for efficient environmental management in the building from environment data.
{"title":"Development of IoT Edge Hub for Wireless Sensor Networks based on Docker Container","authors":"Natapon Tansangworn","doi":"10.1109/SmartIoT49966.2020.00068","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00068","url":null,"abstract":"Wireless sensor network (WSN) is spatially distributed sensor for monitoring and recording the physical conditions of the environment. The organization of distributed sensor is essential for industrial, building, and agriculture. However, Creating systems for separately placed sensor nodes which gather and share data are complicated. Here we show the develop of IoT edge hub based on docker containers for Wireless sensor networks. The Edge hub is a lightweight system for real-time monitoring which is consist of broker, storage, rule engine and visualization. The Internet of things (IoT) and wireless sensor network Internet of things (IoT) and wireless sensor network are combined in an edge hub for data transmission in global and local area network. Furthermore, the edge hub using docker containers and deployed using Docker Swarm-based orchestration. we have implemented an edge hub prototype based on docker container. Our discuss the prototype implementation of edge hub for efficient environmental management in the building from environment data.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116102773","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}
The sliding door pulley produces noise in the process of movement and forms mixed noise after combining with the environmental background noise. The noise produced by pulley movement is related to its structure and material. This article discusses how to use sound signals to analyze pulley characteristics. Noise source is separated by simulating the mixing of a given sound source through the Clustering Hidden Markov Model (C-HMM), and the mechanism of the noise source generated by the pulley is studied, which can provide data support for judging the pulley mass. This paper designs a mixed pulley sound signal perception test platform based on C-HMM. The experimental results show that the system can analyze and judge the quality of the pulley under certain conditions by entering the noise characteristics of sheave motion. The characteristic recognition rate of different combinations is different, and the comprehensive recognition accuracy of the Mel Frequency Cepstrum Coefficient (MFCC) + Short Time Energy (STE) combination can reach 91.76%.
滑动门滑轮在运动过程中产生噪声，与环境背景噪声结合后形成混合噪声。滑轮运动产生的噪声与其结构和材料有关。本文讨论了如何利用声音信号分析滑轮的特性。通过聚类隐马尔可夫模型(C-HMM)模拟给定声源的混合，分离噪声源，研究滑轮产生噪声源的机理，为判断滑轮质量提供数据支持。本文设计了一个基于C-HMM的混合滑轮声信号感知测试平台。实验结果表明，该系统通过输入滑轮运动的噪声特性，可以在一定条件下对滑轮的质量进行分析和判断。不同组合的特征识别率不同，Mel Frequency倒频谱系数(MFCC) + Short Time Energy (STE)组合的综合识别准确率可达91.76%。
{"title":"Characteristic Analysis and Test of Mixed Pulley Sound Signal Based on Hidden Markov Model","authors":"Gengzhe Zheng, Liming Wu, Feiyang Song, Xinying He, Gengxuan Lin, Danfeng Jiang","doi":"10.1109/SmartIoT49966.2020.00043","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00043","url":null,"abstract":"The sliding door pulley produces noise in the process of movement and forms mixed noise after combining with the environmental background noise. The noise produced by pulley movement is related to its structure and material. This article discusses how to use sound signals to analyze pulley characteristics. Noise source is separated by simulating the mixing of a given sound source through the Clustering Hidden Markov Model (C-HMM), and the mechanism of the noise source generated by the pulley is studied, which can provide data support for judging the pulley mass. This paper designs a mixed pulley sound signal perception test platform based on C-HMM. The experimental results show that the system can analyze and judge the quality of the pulley under certain conditions by entering the noise characteristics of sheave motion. The characteristic recognition rate of different combinations is different, and the comprehensive recognition accuracy of the Mel Frequency Cepstrum Coefficient (MFCC) + Short Time Energy (STE) combination can reach 91.76%.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125855669","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00022
He Dong, Nan Wu, Guangsheng Feng, Xinying Gao
With the rapid development of wireless communication technology, Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields due to their inherent advantages such as easy deployment, flexible mobility, and line-of-sight connectivity. Due to the high flexibility of mobile edge computing system composed of UAVs, multi-UAVs collaboration has become a common method to share and complete computing tasks at the edge of the network. To minimize the energy consumption of the UAV cluster, we consider the impact of UAV mobility on task assignment decisions, based on a two-dimensional random walk model, a UAV mobility model is established. Then, we formulate the problem as energy consumption minimization, which is a mixed integer nonlinear programming problem, and proposes a sequence-depend task assignment algorithm. In this paper, a spatial branch limiting algorithm is proposed to solve the problem, and the correctness of the model and the effectiveness of the algorithm are verified through multiple simulation experiments.
{"title":"Research on Computing Task Allocation Method Based on Multi-UAVs Collaboration","authors":"He Dong, Nan Wu, Guangsheng Feng, Xinying Gao","doi":"10.1109/SmartIoT49966.2020.00022","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00022","url":null,"abstract":"With the rapid development of wireless communication technology, Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields due to their inherent advantages such as easy deployment, flexible mobility, and line-of-sight connectivity. Due to the high flexibility of mobile edge computing system composed of UAVs, multi-UAVs collaboration has become a common method to share and complete computing tasks at the edge of the network. To minimize the energy consumption of the UAV cluster, we consider the impact of UAV mobility on task assignment decisions, based on a two-dimensional random walk model, a UAV mobility model is established. Then, we formulate the problem as energy consumption minimization, which is a mixed integer nonlinear programming problem, and proposes a sequence-depend task assignment algorithm. In this paper, a spatial branch limiting algorithm is proposed to solve the problem, and the correctness of the model and the effectiveness of the algorithm are verified through multiple simulation experiments.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124929659","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00044
Yifei Yao, L. Chu, Linyun Shan, Qihui Lei
There are three stages in the development of supply chain finance. At present, online supply chain finance serves the supply chain business with its significant advantages. Due to the information asymmetry caused by the joint tampering of transaction information, supply chain finance is facing the bottleneck of credit crisis. The financing difficulty of small and medium-sized enterprises has affected their survival. As a new forward-looking technology, blockchain has the characteristics of decentralization, information tamperability and traceability. This paper introduces blockchain technology into the supply chain financial service system, reflects the whole chain business logic through blockchain network, proposes the supply chain financial model based on blockchain technology, constructs the cloud computing credit service system based on blockchain network, and effectively relieves the supply chain Chain credit crisis promotes the development of supply chain financial business.
{"title":"Supply Chain Financial Model Innovation Based on Block-chain Drive and Construction of Cloud Computing Credit System","authors":"Yifei Yao, L. Chu, Linyun Shan, Qihui Lei","doi":"10.1109/SmartIoT49966.2020.00044","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00044","url":null,"abstract":"There are three stages in the development of supply chain finance. At present, online supply chain finance serves the supply chain business with its significant advantages. Due to the information asymmetry caused by the joint tampering of transaction information, supply chain finance is facing the bottleneck of credit crisis. The financing difficulty of small and medium-sized enterprises has affected their survival. As a new forward-looking technology, blockchain has the characteristics of decentralization, information tamperability and traceability. This paper introduces blockchain technology into the supply chain financial service system, reflects the whole chain business logic through blockchain network, proposes the supply chain financial model based on blockchain technology, constructs the cloud computing credit service system based on blockchain network, and effectively relieves the supply chain Chain credit crisis promotes the development of supply chain financial business.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125125789","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00065
Jaewon Moon, Seungwoo Keum, Sung-Soon Park
It is becoming increasingly necessary to improve people's daily living environments for their quality of life. Indoor air quality is also important, as most people spend a lot of time indoors. It is known that a significant proportion of indoor pollution is caused by outdoor pollution. However, the size of the outdoor influence may depend on the characteristics of indoor space. In this paper, we collected air and environmental data for 21 spaces and analyzed how much they relate to external environmental pollution. The result shows that the influence on the external environment varies greatly depending on the spaces.
{"title":"A Correlation Analysis of Indoor and Outdoor Air Quality using IoT sensors","authors":"Jaewon Moon, Seungwoo Keum, Sung-Soon Park","doi":"10.1109/SmartIoT49966.2020.00065","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00065","url":null,"abstract":"It is becoming increasingly necessary to improve people's daily living environments for their quality of life. Indoor air quality is also important, as most people spend a lot of time indoors. It is known that a significant proportion of indoor pollution is caused by outdoor pollution. However, the size of the outdoor influence may depend on the characteristics of indoor space. In this paper, we collected air and environmental data for 21 spaces and analyzed how much they relate to external environmental pollution. The result shows that the influence on the external environment varies greatly depending on the spaces.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126371849","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 : 2020-08-01DOI: 10.1109/SmartIoT49966.2020.00050
Lei Yu, Yang Lu, Benhong Zhang, Lei Shi, Fangliang Huang, Ya Li, Yulian Shen
Ensuring the correctness and reliability of the Internet of Things system is the key to the advancement of the Internet of Things project. It is very necessary to fully inspect the Internet of Things system before it is actually deployed, so as to find the errors and defects in the system design as soon as possible and make improvements. Compared with conventional simulation and testing, the formal method has the advantages of low cost, short cycle and simple steps, which provides efficient support for the inspection and analysis of the Internet of Things system before deployment. Based on the stateful timed communication sequence process (STCSP), we consider the formal modeling framework for the Internet of things system from the perspective of external environment input and system architecture. We then propose a hierarchical formal modeling method for the Internet of things system oriented to user behavior. Taking the elderly home monitoring application scene as an example, as the input of the external environment, the user behavior and its implementation object are combined into a whole for modeling, so as to keep the two states in sync, restrict each other, and avoid unrealistic sequence of activities. From the perspectives of perception mode, communication mode, predefined rules and application services, we have completed the hierarchical modeling of the three-layer architecture of the Internet of Things system, that is, perception layer, middle layer and application layer. Finally, the model verification tool PAT analyzes and verifies the above model from the aspects of security, accessibility, and system consistency. This method provides scientific basis for the correctness inspection and reliability analysis of the Internet of Things system before deployment in the Internet of Things project.
{"title":"Hierarchical Formal Modeling of Internet of Things System Oriented to User Behavior","authors":"Lei Yu, Yang Lu, Benhong Zhang, Lei Shi, Fangliang Huang, Ya Li, Yulian Shen","doi":"10.1109/SmartIoT49966.2020.00050","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00050","url":null,"abstract":"Ensuring the correctness and reliability of the Internet of Things system is the key to the advancement of the Internet of Things project. It is very necessary to fully inspect the Internet of Things system before it is actually deployed, so as to find the errors and defects in the system design as soon as possible and make improvements. Compared with conventional simulation and testing, the formal method has the advantages of low cost, short cycle and simple steps, which provides efficient support for the inspection and analysis of the Internet of Things system before deployment. Based on the stateful timed communication sequence process (STCSP), we consider the formal modeling framework for the Internet of things system from the perspective of external environment input and system architecture. We then propose a hierarchical formal modeling method for the Internet of things system oriented to user behavior. Taking the elderly home monitoring application scene as an example, as the input of the external environment, the user behavior and its implementation object are combined into a whole for modeling, so as to keep the two states in sync, restrict each other, and avoid unrealistic sequence of activities. From the perspectives of perception mode, communication mode, predefined rules and application services, we have completed the hierarchical modeling of the three-layer architecture of the Internet of Things system, that is, perception layer, middle layer and application layer. Finally, the model verification tool PAT analyzes and verifies the above model from the aspects of security, accessibility, and system consistency. This method provides scientific basis for the correctness inspection and reliability analysis of the Internet of Things system before deployment in the Internet of Things project.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378471","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 : 2020-08-01DOI: 10.1109/smartiot49966.2020.00005
{"title":"Welcome Message from the General Chairs","authors":"","doi":"10.1109/smartiot49966.2020.00005","DOIUrl":"https://doi.org/10.1109/smartiot49966.2020.00005","url":null,"abstract":"","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121422344","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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