Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867182
Qian-hong Yu, Yongjun Shen
Risk prediction is an important part of the information security system. At present, information security system needs an effective prediction method urgently. In accordance with the information security risk assessment process and combination of assets, threat, vulnerability and safety control measures, to strengthen the correlation among these factors and make the prediction results more objective for the target, the authors put forward a model based on the combination of the grey theory and analytic network process(ANP) with information security risk prediction. First, the model predicted value of each element is obtained by grey theory GM(1,1), and then establish the weight of each risk assessment element through the analytic network process (ANP) by analyzing interdependency and feedback, finally, set up systematic risk fuzzy comprehensive calculation to process data and build accurate mathematical model by combining with the risk assessment level. That is [0,1],to achieve a more accurate risk situation prediction through the quantitative results so of realistic significance for information system security.
{"title":"Research of information security risk prediction based on grey theory and ANP","authors":"Qian-hong Yu, Yongjun Shen","doi":"10.1109/IMCEC.2016.7867182","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867182","url":null,"abstract":"Risk prediction is an important part of the information security system. At present, information security system needs an effective prediction method urgently. In accordance with the information security risk assessment process and combination of assets, threat, vulnerability and safety control measures, to strengthen the correlation among these factors and make the prediction results more objective for the target, the authors put forward a model based on the combination of the grey theory and analytic network process(ANP) with information security risk prediction. First, the model predicted value of each element is obtained by grey theory GM(1,1), and then establish the weight of each risk assessment element through the analytic network process (ANP) by analyzing interdependency and feedback, finally, set up systematic risk fuzzy comprehensive calculation to process data and build accurate mathematical model by combining with the risk assessment level. That is [0,1],to achieve a more accurate risk situation prediction through the quantitative results so of realistic significance for information system security.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133442812","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867178
J. Xie, Ni Wang, Gang Zhang, Tuo Xie
The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented in this paper. The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail. The mathematical model was applied to specific reservoir. Study results show that this method has higher efficiency and performance in reservoir optimal operation and enhanced energy. NCSPSO will be a new method to solve the problem of reservoir optimal operation.
{"title":"Study on optimal operation of reservoir based on the niche and cross-selection operators' particle swarm optimization algorithm","authors":"J. Xie, Ni Wang, Gang Zhang, Tuo Xie","doi":"10.1109/IMCEC.2016.7867178","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867178","url":null,"abstract":"The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented in this paper. The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail. The mathematical model was applied to specific reservoir. Study results show that this method has higher efficiency and performance in reservoir optimal operation and enhanced energy. NCSPSO will be a new method to solve the problem of reservoir optimal operation.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746203","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 this paper, an approach is presented to realizing a simple, multifunctional digital channelized structure which is easily implemented in hardware according to the concept of modularity of software radios. The proposed architecture based on the uniform digital channelized structure of band-pass filter bank provides four kinds of channel structures which are formed by different combinations of the decimation factor M and the arrangement of filter group. In the proposed implementation of the filter group, the number of filters K is related to M by K=M or K =2M, and simultaneously the arrangement of filter group can be selected to be even or odd. Through flexible module configuration, this architecture is simply achieved in FPGA hardware.
{"title":"A simple multifunctional digital channelized structure","authors":"Huaqiong Li, Qi Zhong, Zhongjin Zhang, Yuguo Wang, Shanyong Huang","doi":"10.1109/IMCEC.2016.7867190","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867190","url":null,"abstract":"In this paper, an approach is presented to realizing a simple, multifunctional digital channelized structure which is easily implemented in hardware according to the concept of modularity of software radios. The proposed architecture based on the uniform digital channelized structure of band-pass filter bank provides four kinds of channel structures which are formed by different combinations of the decimation factor M and the arrangement of filter group. In the proposed implementation of the filter group, the number of filters K is related to M by K=M or K =2M, and simultaneously the arrangement of filter group can be selected to be even or odd. Through flexible module configuration, this architecture is simply achieved in FPGA hardware.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131820905","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867195
Qi Zhang, Junhua Xiang, Yulin Zhang
An active Fault Tolerant Control (FTC) technique for a low-cost and fixed-wing Unmanned Aerial Vehicle (UAV) subjected to several scenarios of sensor and actuator faults is presented in the paper. To implement the FTC system, a Fault Detection and Isolation (FDI) block based on Extended Kalman Filter (EKF) is used to detect and identify various sensor and actuator faults, and a control reconfiguration system is applied to carry out corresponding recovery actions according to the messages provided by the FDI module when the UAV breaks down. Simulation results showed that the proposed method is satisfied for the UAV with sensor or actuator faults.
{"title":"An active Fault-Tolerant Control method for a low-cost and fixed-wing UAV","authors":"Qi Zhang, Junhua Xiang, Yulin Zhang","doi":"10.1109/IMCEC.2016.7867195","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867195","url":null,"abstract":"An active Fault Tolerant Control (FTC) technique for a low-cost and fixed-wing Unmanned Aerial Vehicle (UAV) subjected to several scenarios of sensor and actuator faults is presented in the paper. To implement the FTC system, a Fault Detection and Isolation (FDI) block based on Extended Kalman Filter (EKF) is used to detect and identify various sensor and actuator faults, and a control reconfiguration system is applied to carry out corresponding recovery actions according to the messages provided by the FDI module when the UAV breaks down. Simulation results showed that the proposed method is satisfied for the UAV with sensor or actuator faults.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132203605","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867546
Wei Zhang, Yan Zhang, Ming Tang
This paper mainly introduces the method for realizing storage control with a direct control of Hard Disk by using FPGA and DSP. And it uses a FIFO as a data cache so that the storage requrements for 80k Hz data sampling rate system can be satisfied.
{"title":"Method for realizing storage control with a direct control of Hard Disk by using FPGA and DSP","authors":"Wei Zhang, Yan Zhang, Ming Tang","doi":"10.1109/IMCEC.2016.7867546","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867546","url":null,"abstract":"This paper mainly introduces the method for realizing storage control with a direct control of Hard Disk by using FPGA and DSP. And it uses a FIFO as a data cache so that the storage requrements for 80k Hz data sampling rate system can be satisfied.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134179944","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867408
Zheng Xiaodan, Hao Kaixue, L. Mei
The Wiener filtering deconvolution algorithm applied to the correlation identification method which stability is poor and identification effect is undesirable that caused by the noise change of outside the band. The reasons of Wiener filtering deconvolution algorithm which adaptive of noise is unsatisfactory is analyzed by this undesirable consequence. The incremental wiener filter that used in correlation identification method is proposed: We study the characteristic of incremental wiener filter that solution is allowed for iterative estimation to improve Wiener filtering deconvolution algorithm further. Finally, the experiments indicate that the incremental wiener filtering deconvolution algorithm has better filtering effect to the noise that can improve the precision of deconvolution and obtain better recognition effect in the application of the correlation identification method
{"title":"The deconvolution algorithm of incremental wiener filtering based on pseudo-random sequences","authors":"Zheng Xiaodan, Hao Kaixue, L. Mei","doi":"10.1109/IMCEC.2016.7867408","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867408","url":null,"abstract":"The Wiener filtering deconvolution algorithm applied to the correlation identification method which stability is poor and identification effect is undesirable that caused by the noise change of outside the band. The reasons of Wiener filtering deconvolution algorithm which adaptive of noise is unsatisfactory is analyzed by this undesirable consequence. The incremental wiener filter that used in correlation identification method is proposed: We study the characteristic of incremental wiener filter that solution is allowed for iterative estimation to improve Wiener filtering deconvolution algorithm further. Finally, the experiments indicate that the incremental wiener filtering deconvolution algorithm has better filtering effect to the noise that can improve the precision of deconvolution and obtain better recognition effect in the application of the correlation identification method","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133109516","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867303
Yangyang Wang, Chunjie Qiao, Suyang Liu
Based on the demands of autonomous underwater vehicle positioning, this paper puts forward a method which uses the GPS buoys to constitute a measuring array. The spread spectrum signal, which can effectively solve the interference problem of different positioning signals and finish ranging and transmitting information at the same time, is introduced to the positioning system. Moreover, the spread spectrum signal is able to make full use of the available bandwidth of underwater acoustic channel to overcome the problem of low utilization rate of bandwidth of traditional positioning signals. The positioning system combines satellite navigation and underwater positioning technology. This paper discusses the system composition, working methods, measuring principles and positioning signal system, and analyzes the key issues of this system.
{"title":"Design of autonomous underwater vehicle positioning system","authors":"Yangyang Wang, Chunjie Qiao, Suyang Liu","doi":"10.1109/IMCEC.2016.7867303","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867303","url":null,"abstract":"Based on the demands of autonomous underwater vehicle positioning, this paper puts forward a method which uses the GPS buoys to constitute a measuring array. The spread spectrum signal, which can effectively solve the interference problem of different positioning signals and finish ranging and transmitting information at the same time, is introduced to the positioning system. Moreover, the spread spectrum signal is able to make full use of the available bandwidth of underwater acoustic channel to overcome the problem of low utilization rate of bandwidth of traditional positioning signals. The positioning system combines satellite navigation and underwater positioning technology. This paper discusses the system composition, working methods, measuring principles and positioning signal system, and analyzes the key issues of this system.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006665","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867235
Bin Xie, Guanyi Sun, G. Ma
Docker, the most popular container technique today, has accepted by more and more people and companies. It achieves agility and controls for Development and IT Operations teams to build, ship, and run any app, anywhere. Taking Docker's advantages, enterprises are able to leverage big data analytics more efficiently. In this paper, we use two network modes in Docker when building one Spark based streaming application. To get better achievement we design one experimental system to investigate performance between host and overlay network mode from different aspects. Through our working, we find host mode is faster overlay mode around 8%. At the same time, the overlay mode is more stable. We introduce coefficient of variation to see the difference of transfer latency among every package and overlay mode is better than host mode more than 50%. Therefore, overlay network mode is more suitable for the business with high quality requirement of network jitter like video conference. On the other hand, when need to get higher transfer latency, host mode is better choice.
{"title":"Docker based overlay network performance evaluation in large scale streaming system","authors":"Bin Xie, Guanyi Sun, G. Ma","doi":"10.1109/IMCEC.2016.7867235","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867235","url":null,"abstract":"Docker, the most popular container technique today, has accepted by more and more people and companies. It achieves agility and controls for Development and IT Operations teams to build, ship, and run any app, anywhere. Taking Docker's advantages, enterprises are able to leverage big data analytics more efficiently. In this paper, we use two network modes in Docker when building one Spark based streaming application. To get better achievement we design one experimental system to investigate performance between host and overlay network mode from different aspects. Through our working, we find host mode is faster overlay mode around 8%. At the same time, the overlay mode is more stable. We introduce coefficient of variation to see the difference of transfer latency among every package and overlay mode is better than host mode more than 50%. Therefore, overlay network mode is more suitable for the business with high quality requirement of network jitter like video conference. On the other hand, when need to get higher transfer latency, host mode is better choice.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"43 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114037555","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867358
Yufeng Zhao, Zhiyi Qu, Huiyi Han, Liping Yuan
Starburst algorithm that combines feature-based and model-based approaches, can achieve a good tradeoff between run-time performance and accuracy for dark-pupil infrared illumination. On this basis, eye images are preprocessed using AdaBoost classifier to extract region of interest which contains pupil in this paper. Thus, we can ensure that the start point of Starburst model is located within pupil region, reducing the number of iterations of the algorithm. Meanwhile, reflection points are detected and filled effectively, eliminating interference points. At last, high density connected region clustering is used for the non-continuous edge feature points, and the ellipse fitting parameters are optimized to improve the accuracy of the pupil center localization. Finally, the effectiveness and rapidity of the algorithm proposed in this paper is validated through experiments.
{"title":"An effective and rapid localization algorithm of pupil center based on Starburst model","authors":"Yufeng Zhao, Zhiyi Qu, Huiyi Han, Liping Yuan","doi":"10.1109/IMCEC.2016.7867358","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867358","url":null,"abstract":"Starburst algorithm that combines feature-based and model-based approaches, can achieve a good tradeoff between run-time performance and accuracy for dark-pupil infrared illumination. On this basis, eye images are preprocessed using AdaBoost classifier to extract region of interest which contains pupil in this paper. Thus, we can ensure that the start point of Starburst model is located within pupil region, reducing the number of iterations of the algorithm. Meanwhile, reflection points are detected and filled effectively, eliminating interference points. At last, high density connected region clustering is used for the non-continuous edge feature points, and the ellipse fitting parameters are optimized to improve the accuracy of the pupil center localization. Finally, the effectiveness and rapidity of the algorithm proposed in this paper is validated through experiments.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114293530","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 : 2016-10-01DOI: 10.1109/IMCEC.2016.7867295
Xingjian He, Fengjun Yang, Ran Xi
Orthogonal frequency division multiplexing (OFDM) is an effective technique in wireless communication use. However, high peak-to-average power ratio (PAPR) is a big problem in OFDM signal. High PAPR can lead to significant distortion when signal passed through the nonlinear equipment, such as a transmitter power amplifier. Clipping is a simple and efficient way to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion and out-of-band radiation. In this paper, a self-adaptive EVM (Error Vector Magnitude) method is proposed to reduce the PAPR of OFDM signals. Our self-adaptive EVM method consists of two independent parts, the first part to realize in-band noise processing, and the second part to satisfy the out-of-band spectral constraint. Achievable PAPR reduction results vary depending on different simulation requirements. Our results show that self-adaptive EVM method is a promising technique for crest factor reduction (CFR) when transmitting OFDM signals via linear amplifier. By using this method on a 64QAM Wimax signal with 2048 subcarriers, a 6.4dB PAPR reduction at the 10−4 complementary cumulative distribution function (CCDF) level can be obtained.
{"title":"Peak-to-average power ratio reduction in OFDM signals via self-adaptive EVM method","authors":"Xingjian He, Fengjun Yang, Ran Xi","doi":"10.1109/IMCEC.2016.7867295","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867295","url":null,"abstract":"Orthogonal frequency division multiplexing (OFDM) is an effective technique in wireless communication use. However, high peak-to-average power ratio (PAPR) is a big problem in OFDM signal. High PAPR can lead to significant distortion when signal passed through the nonlinear equipment, such as a transmitter power amplifier. Clipping is a simple and efficient way to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion and out-of-band radiation. In this paper, a self-adaptive EVM (Error Vector Magnitude) method is proposed to reduce the PAPR of OFDM signals. Our self-adaptive EVM method consists of two independent parts, the first part to realize in-band noise processing, and the second part to satisfy the out-of-band spectral constraint. Achievable PAPR reduction results vary depending on different simulation requirements. Our results show that self-adaptive EVM method is a promising technique for crest factor reduction (CFR) when transmitting OFDM signals via linear amplifier. By using this method on a 64QAM Wimax signal with 2048 subcarriers, a 6.4dB PAPR reduction at the 10−4 complementary cumulative distribution function (CCDF) level can be obtained.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114497461","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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