Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045132
Bo Gao, Ge Wu, Jiangdong Shan, X. Tian
We simulate a presently proposed PZT (piezoelectric transducer) driver circuit with relatively good dynamic response characteristics using a kind of electronic circuits simulation software — Multisim2001. We study the dynamic response characteristics and the power of this circuit. The simulation results shows that this PZT driver circuit can synchronously and linearly amplify the low voltage of the input dynamic signal such as sinusoidal wave to high voltage required for driving PZT, and the correlation coefficient between the input and output voltage is as high as 0.9934, calculated from the experiment data. Furthermore, we found that the power supplied by the power supply increases from 5.353 Watts to 7.854 Watts as the PZT capacitance increases from 100 nF to 1000 nF. By drawing figures and calculating the correlation coefficient between the power and the PZT capacitance (which is 0.99978), we can see that the power is perfectly direct proportional to the capacitance. To our knowledge it's the first time to note this correlation between the power and the PZT capacitance. This conclusion is very helpful for practical PZT driver circuits design.
{"title":"Simulation experimental analysis of PZT driver circuit","authors":"Bo Gao, Ge Wu, Jiangdong Shan, X. Tian","doi":"10.1109/CCIS.2011.6045132","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045132","url":null,"abstract":"We simulate a presently proposed PZT (piezoelectric transducer) driver circuit with relatively good dynamic response characteristics using a kind of electronic circuits simulation software — Multisim2001. We study the dynamic response characteristics and the power of this circuit. The simulation results shows that this PZT driver circuit can synchronously and linearly amplify the low voltage of the input dynamic signal such as sinusoidal wave to high voltage required for driving PZT, and the correlation coefficient between the input and output voltage is as high as 0.9934, calculated from the experiment data. Furthermore, we found that the power supplied by the power supply increases from 5.353 Watts to 7.854 Watts as the PZT capacitance increases from 100 nF to 1000 nF. By drawing figures and calculating the correlation coefficient between the power and the PZT capacitance (which is 0.99978), we can see that the power is perfectly direct proportional to the capacitance. To our knowledge it's the first time to note this correlation between the power and the PZT capacitance. This conclusion is very helpful for practical PZT driver circuits design.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130121680","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045107
Yan Peng, Chenyue Zhang
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. The work presented in this paper described an approach of design an information extraction system; put forward basic system architecture. Describe the detail steps of web information extraction, such as web page organize, rule generate and result show. Finally, successfully extracted information is placed in an XML template, which has been designed to capture information needed in the teaching-learning system. Although the work presented in this paper was restricted to HTML course outlines, the concepts and methods are easily applied to other different domains.
{"title":"Web information extraction and its application","authors":"Yan Peng, Chenyue Zhang","doi":"10.1109/CCIS.2011.6045107","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045107","url":null,"abstract":"Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. The work presented in this paper described an approach of design an information extraction system; put forward basic system architecture. Describe the detail steps of web information extraction, such as web page organize, rule generate and result show. Finally, successfully extracted information is placed in an XML template, which has been designed to capture information needed in the teaching-learning system. Although the work presented in this paper was restricted to HTML course outlines, the concepts and methods are easily applied to other different domains.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176979","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045068
Ting Yu, Jing Tian, Shilong Ma, Shengwei Yi, Dan Yu
Recently, scientific computing not only brings benefits for science but also brings new challenges for scientists. Therefore, scientists have to face headache “4 how” problems, which are how to know, organize, use and guarantee resources, and as the solution, scientific computing infrastructure should coordinate and organize kinds of capabilities effectively, so as to provide on-demand and safe computing environment for scientists. So, this paper concludes the related research about scientific computing infrastructure in recent years, and base on that systematically analyze the primary demands of infrastructure, and moreover, we propose Capability Meta Model-CMM as the foundation model for kinds of infrastructure; and then, based on CMM we compare kinds of different infrastructure, including grid and cloud computing, from resources, knowledge, quality and security these four aspects, finally, we summarize the problems and challenges the current infrastructure is facing.
近年来，科学计算在给科学带来好处的同时，也给科学家带来了新的挑战。因此，如何认识、组织、使用和保障资源是科学家们头痛的“4个如何”问题，而作为解决方案，科学计算基础设施应有效协调和组织各种能力，为科学家提供按需、安全的计算环境。因此，本文总结了近年来科学计算基础设施的相关研究，在此基础上系统分析了基础设施的主要需求，并提出了能力元模型(Capability Meta model - cmm)作为各类基础设施的基础模型;然后，在CMM的基础上，从资源、知识、质量和安全四个方面对网格和云计算等不同的基础设施进行了比较，总结了当前基础设施面临的问题和挑战。
{"title":"Gird or cloud? Survey on scientific computing infrastructure","authors":"Ting Yu, Jing Tian, Shilong Ma, Shengwei Yi, Dan Yu","doi":"10.1109/CCIS.2011.6045068","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045068","url":null,"abstract":"Recently, scientific computing not only brings benefits for science but also brings new challenges for scientists. Therefore, scientists have to face headache “4 how” problems, which are how to know, organize, use and guarantee resources, and as the solution, scientific computing infrastructure should coordinate and organize kinds of capabilities effectively, so as to provide on-demand and safe computing environment for scientists. So, this paper concludes the related research about scientific computing infrastructure in recent years, and base on that systematically analyze the primary demands of infrastructure, and moreover, we propose Capability Meta Model-CMM as the foundation model for kinds of infrastructure; and then, based on CMM we compare kinds of different infrastructure, including grid and cloud computing, from resources, knowledge, quality and security these four aspects, finally, we summarize the problems and challenges the current infrastructure is facing.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122345060","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}
Service reputation is a key factor for services selection and services composition in Service-Oriented AmI system, and the calculation of reputation in AmI system should fully reflect the feature of multi-rating fusion and rating's utility value dynamic attenuation mechanism. A good model is important for reputation computing. The paper proposes three models from different views. Conceptual data model gives the constitution of reputation using the UML class diagram; Conceptual layered model classifies the related conceptual which involve in the reputation computing into different layers; Computation model gives the core algorithms which are used to computing the reputation. These models provide a reference guide for reputation computing in service-oriented AmI.
{"title":"Modeling reputation for service-oriented AmI environments","authors":"Huibing Zhang, Yibin Hou, Zhangqin Huang, Cuiqin Hou","doi":"10.1109/CCIS.2011.6045102","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045102","url":null,"abstract":"Service reputation is a key factor for services selection and services composition in Service-Oriented AmI system, and the calculation of reputation in AmI system should fully reflect the feature of multi-rating fusion and rating's utility value dynamic attenuation mechanism. A good model is important for reputation computing. The paper proposes three models from different views. Conceptual data model gives the constitution of reputation using the UML class diagram; Conceptual layered model classifies the related conceptual which involve in the reputation computing into different layers; Computation model gives the core algorithms which are used to computing the reputation. These models provide a reference guide for reputation computing in service-oriented AmI.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996457","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045035
Jie Zhang, Bo Zhang, Xinjing Liu, Xiaojun Jing
Repairing incomplete fingerprints continues to be an important challenge today, despite the advances made in fingerprint enhancement techniques. Owing to the incomplete fingerprint may not include sufficient information such as minutiae and ridges, so matching error usually increases as the number of detected such details decreases. This paper proposed a reparation method and then applied this to matching in order to improve the reparation effect. Specifically, the nearest minutiae and sampling points are used for estimation the unknown orientation field firstly. Secondly, disrupted ridges are reconnected and missing minutiae are recovered based on previous outcome and the observation of ridges distribution. Finally, repaired results are verified in matching hierarchically to choose the best one, and the matching result is generated at the same time. Our experiments show that the proposed approach can actually improve the quality of reparation and effectively reduce the error of matching.
{"title":"A matching-improved reparation method for incomplete fingerprint","authors":"Jie Zhang, Bo Zhang, Xinjing Liu, Xiaojun Jing","doi":"10.1109/CCIS.2011.6045035","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045035","url":null,"abstract":"Repairing incomplete fingerprints continues to be an important challenge today, despite the advances made in fingerprint enhancement techniques. Owing to the incomplete fingerprint may not include sufficient information such as minutiae and ridges, so matching error usually increases as the number of detected such details decreases. This paper proposed a reparation method and then applied this to matching in order to improve the reparation effect. Specifically, the nearest minutiae and sampling points are used for estimation the unknown orientation field firstly. Secondly, disrupted ridges are reconnected and missing minutiae are recovered based on previous outcome and the observation of ridges distribution. Finally, repaired results are verified in matching hierarchically to choose the best one, and the matching result is generated at the same time. Our experiments show that the proposed approach can actually improve the quality of reparation and effectively reduce the error of matching.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874479","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045054
Wei Li, Shanping Li, Xingen Wang
The load balance optimization is an important research topic in a replication system, which will affect the performance a lot. Especially in a capacity restricted system, the load balance will be adversely affected by the strategy to replicate the object. In this paper, an algorithm which will calculate the different replication degree based on the popularity and the size of each object to improve the load balance of the system is proposed. The simulation of a cache system shows that the algorithm could achieve around 50% performance increase compare with the identical replication degree approach as the system is much more balanced and could process much more requests in a certain time period.
{"title":"Load balance optimization with replication degree customization","authors":"Wei Li, Shanping Li, Xingen Wang","doi":"10.1109/CCIS.2011.6045054","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045054","url":null,"abstract":"The load balance optimization is an important research topic in a replication system, which will affect the performance a lot. Especially in a capacity restricted system, the load balance will be adversely affected by the strategy to replicate the object. In this paper, an algorithm which will calculate the different replication degree based on the popularity and the size of each object to improve the load balance of the system is proposed. The simulation of a cache system shows that the algorithm could achieve around 50% performance increase compare with the identical replication degree approach as the system is much more balanced and could process much more requests in a certain time period.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125117704","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045025
Yu Mao, Muyuan Xi, Hao Yu, Xiaojie Wang
In this paper, we propose a novel algorithm that extends the classical probabilistic models to semi-supervised learning framework via manifold regularization. This regularization is used to control the complexity of the model as measured by the geometry of the distribution. Specifically, the intrinsic geometric structure of data is modeled by an adjacency graph, then, the graph Laplacian, analogous to the Laplace-Beltrami operator on manifold, is applied to smooth the data distributions. We realize the regularization framework by applying manifold regularization to conditionally trained log-linear maximum entropy models, which are also known as multinomial logistic regression models. Experimental evidence suggests that our algorithm can exploit the geometry of the data distribution effectively and provide consistent improvement of accuracy. Finally, we give a short discussion of generalizing manifold regularization framework to other probabilistic models.
{"title":"Semi-supervised logistic regression via manifold regularization","authors":"Yu Mao, Muyuan Xi, Hao Yu, Xiaojie Wang","doi":"10.1109/CCIS.2011.6045025","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045025","url":null,"abstract":"In this paper, we propose a novel algorithm that extends the classical probabilistic models to semi-supervised learning framework via manifold regularization. This regularization is used to control the complexity of the model as measured by the geometry of the distribution. Specifically, the intrinsic geometric structure of data is modeled by an adjacency graph, then, the graph Laplacian, analogous to the Laplace-Beltrami operator on manifold, is applied to smooth the data distributions. We realize the regularization framework by applying manifold regularization to conditionally trained log-linear maximum entropy models, which are also known as multinomial logistic regression models. Experimental evidence suggests that our algorithm can exploit the geometry of the data distribution effectively and provide consistent improvement of accuracy. Finally, we give a short discussion of generalizing manifold regularization framework to other probabilistic models.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846223","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045071
Fanghua Ning, W. Zhou, Fengying Zhang, Q. Yin, Xiajing Ni
With the development of cloud computing and internet of things, cloud manufacturing, which is operated independently by the third party, service-oriented, high efficient and low energy consumed, has become a newly-networked manufacturing mode to cope with complicated manufacturing and large-scale collaborative manufacturing. Based on the concept of cloud manufacturing and its operation principle, this paper designs a new architecture of cloud manufacturing, which is to explain the flow directions and combinations of cloud manufacturing resources, included the following six layers: physical layer, resource-oriented interface layer, virtual resource layer, the core service layer, service-oriented interface layer and application layer. Meanwhile, key technologies have been discussed, such as cloud integration, resource scheduling, cloud security, and its standardization. The research lays foundation for further research.
{"title":"The architecture of cloud manufacturing and its key technologies research","authors":"Fanghua Ning, W. Zhou, Fengying Zhang, Q. Yin, Xiajing Ni","doi":"10.1109/CCIS.2011.6045071","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045071","url":null,"abstract":"With the development of cloud computing and internet of things, cloud manufacturing, which is operated independently by the third party, service-oriented, high efficient and low energy consumed, has become a newly-networked manufacturing mode to cope with complicated manufacturing and large-scale collaborative manufacturing. Based on the concept of cloud manufacturing and its operation principle, this paper designs a new architecture of cloud manufacturing, which is to explain the flow directions and combinations of cloud manufacturing resources, included the following six layers: physical layer, resource-oriented interface layer, virtual resource layer, the core service layer, service-oriented interface layer and application layer. Meanwhile, key technologies have been discussed, such as cloud integration, resource scheduling, cloud security, and its standardization. The research lays foundation for further research.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121352455","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045026
X. Geng, Shuxin Qin, Hongxing Chang, Yiping Yang
After nearly 40 years of development, Intelligent Tutoring Systems (ITS) is moving from research labs into the real world. However, Flight training seems to be somewhat divorced from the mainstream of ITS' application. One reason is the difficulty in the knowledge representation of flight training domain, especially the procedural knowledge of flight maneuvers. After a brief review of knowledge representation in ITS, it is clear that the requirements of KR are naturalness and ease to update. Concept Knowledge Tree (CKT) is an ideal method to represent structural and relational knowledge. Behavior Tree is an elegant and understandable solution to procedural knowledge representation for creating reusable logic. CKT and BT can be combined through script and thus a powerful hybrid knowledge representation method was put forward. With authoring tools, a domain expert can even work without the help of knowledge engineer. The analysis of normal takeoff as an example of a single flight maneuver and the construction of flight maneuver knowledge tree proved the hybrid method an appropriate method to develop the domain model of intelligent flight trainer.
{"title":"A hybrid knowledge representation for the domain model of intelligent flight trainer","authors":"X. Geng, Shuxin Qin, Hongxing Chang, Yiping Yang","doi":"10.1109/CCIS.2011.6045026","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045026","url":null,"abstract":"After nearly 40 years of development, Intelligent Tutoring Systems (ITS) is moving from research labs into the real world. However, Flight training seems to be somewhat divorced from the mainstream of ITS' application. One reason is the difficulty in the knowledge representation of flight training domain, especially the procedural knowledge of flight maneuvers. After a brief review of knowledge representation in ITS, it is clear that the requirements of KR are naturalness and ease to update. Concept Knowledge Tree (CKT) is an ideal method to represent structural and relational knowledge. Behavior Tree is an elegant and understandable solution to procedural knowledge representation for creating reusable logic. CKT and BT can be combined through script and thus a powerful hybrid knowledge representation method was put forward. With authoring tools, a domain expert can even work without the help of knowledge engineer. The analysis of normal takeoff as an example of a single flight maneuver and the construction of flight maneuver knowledge tree proved the hybrid method an appropriate method to develop the domain model of intelligent flight trainer.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402358","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 : 2011-10-13DOI: 10.1109/CCIS.2011.6045055
Li Gao, Yinghu Zhao
Cloud computing would be a developing tendency for computing network in the future, which had been widely used in many fields. Combing with the domestic and foreign relevant research and based on current situation of the library, virtual node model of cloud computing library was established in this study, then one method of realizing virtualization data service was discussed and virtual node of similar node cluster data was introduced, which would been more reaonalble distribution between dynamic nodes data. In the end, the changing of service mode of future library on cloude computing would be discussed.
{"title":"Application on cloud computing in the future library","authors":"Li Gao, Yinghu Zhao","doi":"10.1109/CCIS.2011.6045055","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045055","url":null,"abstract":"Cloud computing would be a developing tendency for computing network in the future, which had been widely used in many fields. Combing with the domestic and foreign relevant research and based on current situation of the library, virtual node model of cloud computing library was established in this study, then one method of realizing virtualization data service was discussed and virtual node of similar node cluster data was introduced, which would been more reaonalble distribution between dynamic nodes data. In the end, the changing of service mode of future library on cloude computing would be discussed.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128020550","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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