Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690477
Li Shiyu, Z. Yuhui, Tao Gang, Z. Lijing
In recent years, the accident statistics of shield tunneling in China's subway tunnels show that the collapse is the most frequent type of accident in subway construction projects. Once it occurs, it often results in group bodied injuries and major economic losses, and the social impact is serious. Due to the disturbance of the surrounding soil caused by the shield construction, uneven settlement on the ground and protective measures were not developed in time and then evolved into high-accident, high-caused collapse accidents. In addition to the engineering geological conditions in the shield construction, the tunneling speed, cutterhead torque, soil warehouses pressure, simultaneous grouting amount, simultaneous grouting pressure, and other parameters in the shield construction are also the main factors affecting ground settlement. This paper analyzes the grey connection degree between the settlement monitoring of a metro shield construction and the shield construction parameters in a certain city. It is concluded that the most important factor causing ground settlement is the pressure of the earth storage, and corresponding preventive measures are proposed for the subsequent tunnel shield construction. It is instructive to reduce surface subsidence and prevent it from becoming a collapse accident.
{"title":"Study on Ground Settlement of Tunnel Shield Construction Based on GRA","authors":"Li Shiyu, Z. Yuhui, Tao Gang, Z. Lijing","doi":"10.1109/IICSPI.2018.8690477","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690477","url":null,"abstract":"In recent years, the accident statistics of shield tunneling in China's subway tunnels show that the collapse is the most frequent type of accident in subway construction projects. Once it occurs, it often results in group bodied injuries and major economic losses, and the social impact is serious. Due to the disturbance of the surrounding soil caused by the shield construction, uneven settlement on the ground and protective measures were not developed in time and then evolved into high-accident, high-caused collapse accidents. In addition to the engineering geological conditions in the shield construction, the tunneling speed, cutterhead torque, soil warehouses pressure, simultaneous grouting amount, simultaneous grouting pressure, and other parameters in the shield construction are also the main factors affecting ground settlement. This paper analyzes the grey connection degree between the settlement monitoring of a metro shield construction and the shield construction parameters in a certain city. It is concluded that the most important factor causing ground settlement is the pressure of the earth storage, and corresponding preventive measures are proposed for the subsequent tunnel shield construction. It is instructive to reduce surface subsidence and prevent it from becoming a collapse accident.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"4 1","pages":"16-19"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87972951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690451
Yanxia Sun
Comparing with the traditional summative assessment, the continuous assessment is a minor assessment method in universities around the world. In the Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa, the Department of Electrical Engineering Science applied the continuous assessment in the past five years in order to achieve better study performance while the Departments of Mechanical Engineering Science and Civil Engineering Science are still using the traditional summative assessment. It is necessary to analyse the performance of these two different assessment methods to find which method is better or more stable. In this paper, the traditional summative assessment and the continuous assessment are investigated and compared based on the pass rate of the modules/subjects of these three departments. The histograms and Wilcoxon signed-rank test are used to analyse the differences of these two assessment methods. From the statistical results of this case study, the pass rate of the traditional summative assessment is more stable than the continuous assessment. Finally the unexpected performance of the continuous assessment is investigated.
{"title":"Data analysis of traditional summative assessment and continuous assessment-Engineering Science Departments case study","authors":"Yanxia Sun","doi":"10.1109/IICSPI.2018.8690451","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690451","url":null,"abstract":"Comparing with the traditional summative assessment, the continuous assessment is a minor assessment method in universities around the world. In the Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa, the Department of Electrical Engineering Science applied the continuous assessment in the past five years in order to achieve better study performance while the Departments of Mechanical Engineering Science and Civil Engineering Science are still using the traditional summative assessment. It is necessary to analyse the performance of these two different assessment methods to find which method is better or more stable. In this paper, the traditional summative assessment and the continuous assessment are investigated and compared based on the pass rate of the modules/subjects of these three departments. The histograms and Wilcoxon signed-rank test are used to analyse the differences of these two assessment methods. From the statistical results of this case study, the pass rate of the traditional summative assessment is more stable than the continuous assessment. Finally the unexpected performance of the continuous assessment is investigated.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"46 1","pages":"531-535"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80434967","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}
In recent years, China’s dangerous Chemicals transportation accidents have occurred frequently, and road transportation comprised a large proportion. We collected 982 cases of hazardous Chemical road transport accidents from 2013 to June 2018 and summarized the characteristics of accidents. We also analyzed the characteristics and laws of accidents in terms of sections, provinces, road types, hazardous varieties, loading, accident causes, accident consequences and accident emergency disposal time. The results show that the road transport accidents of hazardous Chemicals are closely related to the initial trafflc accidents. Rollover, tracking and impact are the main trafflc accidents. They usually develop the way of rollover-leakage, tracking-leakage, impact-leakage. Aiming at the evolution process, a map of probabilistic accident chain is drawn to reveal the probability distribution of various types of accidents in hazardous road transport and the weak points of accident evolution. Relative preventive measures are being proposed as well.
{"title":"Study on Law of Scenario Evolution Based on Accident Statistics of Hazardous Chemicals Transportation","authors":"Xin Huang, Ming-guang Zhang, Jian Wang, Jiarui Chen","doi":"10.1109/IICSPI.2018.8690521","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690521","url":null,"abstract":"In recent years, China’s dangerous Chemicals transportation accidents have occurred frequently, and road transportation comprised a large proportion. We collected 982 cases of hazardous Chemical road transport accidents from 2013 to June 2018 and summarized the characteristics of accidents. We also analyzed the characteristics and laws of accidents in terms of sections, provinces, road types, hazardous varieties, loading, accident causes, accident consequences and accident emergency disposal time. The results show that the road transport accidents of hazardous Chemicals are closely related to the initial trafflc accidents. Rollover, tracking and impact are the main trafflc accidents. They usually develop the way of rollover-leakage, tracking-leakage, impact-leakage. Aiming at the evolution process, a map of probabilistic accident chain is drawn to reveal the probability distribution of various types of accidents in hazardous road transport and the weak points of accident evolution. Relative preventive measures are being proposed as well.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"60 1","pages":"80-83"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80257935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690440
Wang Qinghao, Yao Dengkai
In order to make full use of airspace resources and quickly layout the airspace of remote support jamming, the interference region of the jammer is studied, the strategy of implementing interference is introduced, the effective interference segment is calculated. The remote support airspace layout model is quantified, in which the effects of interference, the use of airspace resources and interference resources, and the security of jammers are l considered. The improved gray wolf optimization algorithm (IGWO) is used to calculate the model. Finally, the long-distance support interference airspace planning that interferes with specific radars is simulated.
{"title":"Airspace Layout Methodology for Remote Support Jamming","authors":"Wang Qinghao, Yao Dengkai","doi":"10.1109/IICSPI.2018.8690440","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690440","url":null,"abstract":"In order to make full use of airspace resources and quickly layout the airspace of remote support jamming, the interference region of the jammer is studied, the strategy of implementing interference is introduced, the effective interference segment is calculated. The remote support airspace layout model is quantified, in which the effects of interference, the use of airspace resources and interference resources, and the security of jammers are l considered. The improved gray wolf optimization algorithm (IGWO) is used to calculate the model. Finally, the long-distance support interference airspace planning that interferes with specific radars is simulated.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"4 1","pages":"136-141"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82862931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690380
Fugeng Zeng, Weisheng Li, Xinchen Guo
With the rapid development of marine industry, marine environmental protection has been put on the agenda. Therefore, the monitoring of the marine environment has become the focus of attention. This paper designs a marine environment monitoring system based on wireless sensor network, and presents the hardware design and software flow chart of sensor nodes. For each node, MSP430F149 is used as a microprocessor in hardware, CC2430 is used as communication module, and M25P80 is used as memory.
{"title":"Design of Marine Environment Monitoring System Based on Wireless Sensor Network","authors":"Fugeng Zeng, Weisheng Li, Xinchen Guo","doi":"10.1109/IICSPI.2018.8690380","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690380","url":null,"abstract":"With the rapid development of marine industry, marine environmental protection has been put on the agenda. Therefore, the monitoring of the marine environment has become the focus of attention. This paper designs a marine environment monitoring system based on wireless sensor network, and presents the hardware design and software flow chart of sensor nodes. For each node, MSP430F149 is used as a microprocessor in hardware, CC2430 is used as communication module, and M25P80 is used as memory.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"18 1","pages":"506-509"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89490518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690508
Wenfeng Hou, Daiwei Li, Chao Xu, Haiqing Zhang, Tianrui Li
KNN (K Nearest-neighbor Classification) is a lazy learning classification algorithm, where it only memorizes the training dataset instead of providing a defined discriminative function. KNN tends to search the nearest neighbor(s) for a target in the entire training set, hence, the prediction step of KNN is quite time consuming. KD-tree (K Dimensional-tree) is a multi-dimensional binary tree, which is a specific storage structure for efficiently representing training data. Therefore, the paper takes the advantages of KNN and KD-tree and then proposes a new classification algorithm called KNN-KD-tree. Eleven datasets have been adopted to conduct experiments. The experiments have shown that the proposed KNN-KD-tree algorithm can efficiently reduce time complexity and significantly improve search performance.
{"title":"An Advanced k Nearest Neighbor Classification Algorithm Based on KD-tree","authors":"Wenfeng Hou, Daiwei Li, Chao Xu, Haiqing Zhang, Tianrui Li","doi":"10.1109/IICSPI.2018.8690508","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690508","url":null,"abstract":"KNN (K Nearest-neighbor Classification) is a lazy learning classification algorithm, where it only memorizes the training dataset instead of providing a defined discriminative function. KNN tends to search the nearest neighbor(s) for a target in the entire training set, hence, the prediction step of KNN is quite time consuming. KD-tree (K Dimensional-tree) is a multi-dimensional binary tree, which is a specific storage structure for efficiently representing training data. Therefore, the paper takes the advantages of KNN and KD-tree and then proposes a new classification algorithm called KNN-KD-tree. Eleven datasets have been adopted to conduct experiments. The experiments have shown that the proposed KNN-KD-tree algorithm can efficiently reduce time complexity and significantly improve search performance.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"3 1","pages":"902-905"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90189729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690410
Xiao Dawei, Jiang Liqiu
A real-time communication social software based on XMPP is designed on iOS. On the iOS devices, users can use the software to share their message such as text, pictures, voice and video. It meets the needs of modern people for message sharing. The interface of this software is concise and modular, user-friendly to understand and use.
{"title":"Design of Real-Time Communication Social Software Based on XMPP","authors":"Xiao Dawei, Jiang Liqiu","doi":"10.1109/IICSPI.2018.8690410","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690410","url":null,"abstract":"A real-time communication social software based on XMPP is designed on iOS. On the iOS devices, users can use the software to share their message such as text, pictures, voice and video. It meets the needs of modern people for message sharing. The interface of this software is concise and modular, user-friendly to understand and use.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"3 5","pages":"829-833"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91440645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690428
Xiaofeng Lu, Caidi Xu
Moving object detection is the focus of research and application in the field of computer vision. Background subtraction method is one of the most commonly used methods for moving object detection, in which moving objects in image sequences are detected by comparison of the background model with the current frame. In the process of moving object detection, there are many challenges, such as the interference of clutter background, the influence of illumination, noise and shadow. In this paper, a novel Gaussian mixture model background subtraction method based on wavelet blocks is proposed for the challenge of object detection. This method can not only reduce the influence of illumination, noise and shadow, but also adapt to the dynamic change of natural scene. The contribution lies in the following aspects: (1) A Gaussian background modeling method with less running time is proposed in the background modeling stage. The background is reconstructed based on Gaussian mixture model (GMM) of the mean images of image blocks, aiming to simplify the calculations so as to improve the speed of the corresponding operations. (2) In the foreground detection stage, a wavelet-based de-noising method with the semi-soft threshold function is applied to de-noise the object images of the foreground. Experimental results show that the computational complexity is reduced, while the adaptability and performance are improved by using the proposed method. It was more efficient and robust than traditional approaches.
{"title":"Novel Gaussian mixture model background subtraction method for detecting moving objects","authors":"Xiaofeng Lu, Caidi Xu","doi":"10.1109/IICSPI.2018.8690428","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690428","url":null,"abstract":"Moving object detection is the focus of research and application in the field of computer vision. Background subtraction method is one of the most commonly used methods for moving object detection, in which moving objects in image sequences are detected by comparison of the background model with the current frame. In the process of moving object detection, there are many challenges, such as the interference of clutter background, the influence of illumination, noise and shadow. In this paper, a novel Gaussian mixture model background subtraction method based on wavelet blocks is proposed for the challenge of object detection. This method can not only reduce the influence of illumination, noise and shadow, but also adapt to the dynamic change of natural scene. The contribution lies in the following aspects: (1) A Gaussian background modeling method with less running time is proposed in the background modeling stage. The background is reconstructed based on Gaussian mixture model (GMM) of the mean images of image blocks, aiming to simplify the calculations so as to improve the speed of the corresponding operations. (2) In the foreground detection stage, a wavelet-based de-noising method with the semi-soft threshold function is applied to de-noise the object images of the foreground. Experimental results show that the computational complexity is reduced, while the adaptability and performance are improved by using the proposed method. It was more efficient and robust than traditional approaches.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91526482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690519
Huang Youjun, Wu Haiyang, Yu Ran, Li Chao
With the continuous development of information technology, applying automatic learning and self-learning methods such as machine learning and neural networks to the knowledge acquisition process of the knowledge base, becomes the trend and direction of the current knowledge base development. This paper describes the development of the self-learning knowledge base and technical methods, and practices the whole process of the database construction, neural network construction, neural network training process, experimental application of self-learning knowledge base, achieves the desired goal. It lays the foundation for the construction and practice of the self learning knowledge base in the broader knowledge field.
{"title":"Application of Power Grid Communication Operation and Maintenance Knowledge Base Based on Self-learning Technology","authors":"Huang Youjun, Wu Haiyang, Yu Ran, Li Chao","doi":"10.1109/IICSPI.2018.8690519","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690519","url":null,"abstract":"With the continuous development of information technology, applying automatic learning and self-learning methods such as machine learning and neural networks to the knowledge acquisition process of the knowledge base, becomes the trend and direction of the current knowledge base development. This paper describes the development of the self-learning knowledge base and technical methods, and practices the whole process of the database construction, neural network construction, neural network training process, experimental application of self-learning knowledge base, achieves the desired goal. It lays the foundation for the construction and practice of the self learning knowledge base in the broader knowledge field.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"40 1","pages":"396-402"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80654941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IICSPI.2018.8690387
Lirong Yao, Yazhuo Guan
Natural language processing technology is widely used in artificial intelligence fields such as machine translation, human-computer interaction and speech recognition. Natural language processing is a daunting task due to the variability, ambiguity and context-dependent interpretation of human language. The current deep learning technology has made great progress in NLP technology. However, many NLP systems still have practical problems, such as high training complexity, computational difficulties in large-scale content scenarios, high retrieval complexity and lack of probabilistic significance. This paper proposes an improved NLP method based on long short-term memory (LSTM) structure, whose parameters are randomly discarded when they are passed backwards in the recursive projection layer. Compared with baseline and other LSTM, the improved method has better F1 score results on the Wall Street Journal dataset, including the word2vec word vector and the one-hot word vector, which indicates that our method is more suitable for NLP in limited computing resources and high amount of data.
{"title":"An Improved LSTM Structure for Natural Language Processing","authors":"Lirong Yao, Yazhuo Guan","doi":"10.1109/IICSPI.2018.8690387","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690387","url":null,"abstract":"Natural language processing technology is widely used in artificial intelligence fields such as machine translation, human-computer interaction and speech recognition. Natural language processing is a daunting task due to the variability, ambiguity and context-dependent interpretation of human language. The current deep learning technology has made great progress in NLP technology. However, many NLP systems still have practical problems, such as high training complexity, computational difficulties in large-scale content scenarios, high retrieval complexity and lack of probabilistic significance. This paper proposes an improved NLP method based on long short-term memory (LSTM) structure, whose parameters are randomly discarded when they are passed backwards in the recursive projection layer. Compared with baseline and other LSTM, the improved method has better F1 score results on the Wall Street Journal dataset, including the word2vec word vector and the one-hot word vector, which indicates that our method is more suitable for NLP in limited computing resources and high amount of data.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"20 1","pages":"565-569"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80885029","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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