Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00040
Haibo Yi, Zhe Nie
Many Chinese cities have been experiencing severe pollution. To reduce the environmental impacts of transport pollution and purse sustainable developments of society, many cites in China have adopted transport policies that primarily aim to reduction in ownership and usage of motor vehicles and promote use of public transport. The primary solution should be the development of mass public transit systems, e.g. public bike rental systems. Public bike rental systems have received increasing attention in recent years with initiatives to increase public transport usage and lessen the environmental impacts. However, most of the universities in China are located in the suburbs. The limited coverage of public bike rental systems and transportation network offers college students limited access to public transit systems. We design an efficient mobile system for bike sharing on campus, with the aim of improving travel conditions for students at institutions of higher education. The bike sharing system includes two parts, i.e. client and server. Client is designed based on Android system and server is designed based on Openstack cloud computing system. The bike sharing system can bring information of bike sharing and entertainment together from diverse sources on campus in a uniform way. The bike sharing system provides a consistent look and feel with access control and procedures for multiple applications and databases of bike sharing and entertainment. We divide the bike sharing system into five functional modules, i.e. login module, lessor module, lessee module and administrator module. By integrating the designs of four modules, we use Eclipse and MySQL to implement the bike sharing system based on Android.
{"title":"Mobility Innovation through an Efficient Mobile System for Bike Sharing on Campus","authors":"Haibo Yi, Zhe Nie","doi":"10.1109/ICNISC.2017.00040","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00040","url":null,"abstract":"Many Chinese cities have been experiencing severe pollution. To reduce the environmental impacts of transport pollution and purse sustainable developments of society, many cites in China have adopted transport policies that primarily aim to reduction in ownership and usage of motor vehicles and promote use of public transport. The primary solution should be the development of mass public transit systems, e.g. public bike rental systems. Public bike rental systems have received increasing attention in recent years with initiatives to increase public transport usage and lessen the environmental impacts. However, most of the universities in China are located in the suburbs. The limited coverage of public bike rental systems and transportation network offers college students limited access to public transit systems. We design an efficient mobile system for bike sharing on campus, with the aim of improving travel conditions for students at institutions of higher education. The bike sharing system includes two parts, i.e. client and server. Client is designed based on Android system and server is designed based on Openstack cloud computing system. The bike sharing system can bring information of bike sharing and entertainment together from diverse sources on campus in a uniform way. The bike sharing system provides a consistent look and feel with access control and procedures for multiple applications and databases of bike sharing and entertainment. We divide the bike sharing system into five functional modules, i.e. login module, lessor module, lessee module and administrator module. By integrating the designs of four modules, we use Eclipse and MySQL to implement the bike sharing system based on Android.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127139535","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00041
Lili Tao, Yun-Ying Dong, Li Qi, Siyang Lv
In classical TOPSIS method, the criteria values and criteria weights are known precisely. However, the values of some criteria are often vague in real-life situation, and it expressed only by exact numerical values is inadequate, the application of linguistic variables or fuzzy terms in decision making is deemed to be relevant. Therefore, the aim of this paper is to develop a fuzzy TOPSIS method to deal with above multiple criteria decision making(MCDM) problems. Here, the linguistic variables are represented by membership degrees applying the axiomatic fuzzy set (AFS) theory, then the application of TOPSIS approach is extended. In addition, the semantic interpretations are provided for the decision results by AFS theory. The proposed method is used to assess thermal-energy storage in concentrated solar power (CSP) systems.
{"title":"Fuzzy TOPSIS Approach Based on Axiomatic Fuzzy Set for Assessing Thermal-Energy Storage in Concentrated Solar Power (CSP) Systems","authors":"Lili Tao, Yun-Ying Dong, Li Qi, Siyang Lv","doi":"10.1109/ICNISC.2017.00041","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00041","url":null,"abstract":"In classical TOPSIS method, the criteria values and criteria weights are known precisely. However, the values of some criteria are often vague in real-life situation, and it expressed only by exact numerical values is inadequate, the application of linguistic variables or fuzzy terms in decision making is deemed to be relevant. Therefore, the aim of this paper is to develop a fuzzy TOPSIS method to deal with above multiple criteria decision making(MCDM) problems. Here, the linguistic variables are represented by membership degrees applying the axiomatic fuzzy set (AFS) theory, then the application of TOPSIS approach is extended. In addition, the semantic interpretations are provided for the decision results by AFS theory. The proposed method is used to assess thermal-energy storage in concentrated solar power (CSP) systems.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123532576","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00065
Y. Hou, H. Ge, S. Fang, Cai-Xia Xu
In view of the rapid development of the modern science and technology, image processing technology is also widely used in various fields. More and more digital images are tampered, which brings a lot of difficulties and troubles. This paper analyzes the shadows of objects which are produced by the point light source or the line light source, and makes a preliminary judgment by calculating the grey level. Based on Lambert illumination model and optical properties of consistency, this paper proposes a new technique to judge whether an image is tampered or not. At last, the experimental results are obtained by analyzing the shadows of a lot of images.
{"title":"Exposing Image Forgery Using Lambert Model and Shadows","authors":"Y. Hou, H. Ge, S. Fang, Cai-Xia Xu","doi":"10.1109/ICNISC.2017.00065","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00065","url":null,"abstract":"In view of the rapid development of the modern science and technology, image processing technology is also widely used in various fields. More and more digital images are tampered, which brings a lot of difficulties and troubles. This paper analyzes the shadows of objects which are produced by the point light source or the line light source, and makes a preliminary judgment by calculating the grey level. Based on Lambert illumination model and optical properties of consistency, this paper proposes a new technique to judge whether an image is tampered or not. At last, the experimental results are obtained by analyzing the shadows of a lot of images.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128797720","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00023
Jianmei Dai, Huafang Geng
This article discusses the selection of training sequence of burst signals, and analyzes the possibility of synchronous reference sequence for chirp signal as the burst signal; this article takes the burst signal of superposition chirp sequence as its research objective, combines the characteristics of time-frequency concentration of chirp signal, and completes the signal initial frequency estimation based on variable-sampling MFT; in the perspective to further improve the estimated accuracy of MFT to frequency offset and frequency offset primary change rate, this article completes the parameter estimation of received signals based on Music algorithm; finally the systematic analyses of Music algorithm performance is conducted under the conditions of different SNR or different frequency offsets or different frequency offset change rates. The simulation results prove that the parameter estimation method based on Music algorithm does improve the resolution ratio effectively and reduce the errors.
{"title":"Improved Method for Frequency Estimation of Chirp Sequence Burst Signals","authors":"Jianmei Dai, Huafang Geng","doi":"10.1109/ICNISC.2017.00023","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00023","url":null,"abstract":"This article discusses the selection of training sequence of burst signals, and analyzes the possibility of synchronous reference sequence for chirp signal as the burst signal; this article takes the burst signal of superposition chirp sequence as its research objective, combines the characteristics of time-frequency concentration of chirp signal, and completes the signal initial frequency estimation based on variable-sampling MFT; in the perspective to further improve the estimated accuracy of MFT to frequency offset and frequency offset primary change rate, this article completes the parameter estimation of received signals based on Music algorithm; finally the systematic analyses of Music algorithm performance is conducted under the conditions of different SNR or different frequency offsets or different frequency offset change rates. The simulation results prove that the parameter estimation method based on Music algorithm does improve the resolution ratio effectively and reduce the errors.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126298504","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00052
Fang Liu, B. A. Hassoon
A common strategy to manage memory resources of VMs under changing workloads is Dynamic VM memory management via hotplug. However, in order to estimate the VM working set size, most researchers are utilizing approaches that rely on kernel instrumentation but this most often results to high runtime overhead. This will result in system administrate to exercise a tradeoff between the estimate accuracy and system performance. The novelty of this work is to present a light weight accurate and transparent prediction algorithm for re-balancing memory resources among VMs. Experiments result attained on Dacapo and SPECjvm2008 from renowned benchmarks shows that with only 4% performance overhead our proposed method is capable of accurately adjusting virtual machine memory size on its real time requirements, and improve application performance in the virtual machine more than 10% better when virtual machine has 2 CPUs and 20% better when it has 4 CPUs. In case there is no free memory available our proposed method will try first to use host's free memory but if there is no free memory, it starts memory over-commitment for a fixed duration to help the requested VM complete its task.
{"title":"Efficient VM Memory Balancing Algorithm Design and Implementation","authors":"Fang Liu, B. A. Hassoon","doi":"10.1109/ICNISC.2017.00052","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00052","url":null,"abstract":"A common strategy to manage memory resources of VMs under changing workloads is Dynamic VM memory management via hotplug. However, in order to estimate the VM working set size, most researchers are utilizing approaches that rely on kernel instrumentation but this most often results to high runtime overhead. This will result in system administrate to exercise a tradeoff between the estimate accuracy and system performance. The novelty of this work is to present a light weight accurate and transparent prediction algorithm for re-balancing memory resources among VMs. Experiments result attained on Dacapo and SPECjvm2008 from renowned benchmarks shows that with only 4% performance overhead our proposed method is capable of accurately adjusting virtual machine memory size on its real time requirements, and improve application performance in the virtual machine more than 10% better when virtual machine has 2 CPUs and 20% better when it has 4 CPUs. In case there is no free memory available our proposed method will try first to use host's free memory but if there is no free memory, it starts memory over-commitment for a fixed duration to help the requested VM complete its task.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122401","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00042
Yong Cheng, Huaizhe Zhou, Jiangjiang Wu, Jun Ma, Zhiying Wang
In this paper, we present a new way for evaluating the Continuous Data Protection (CDP) system. This method primarily describes the CDP systems in their snapshot views, which focus on the major issues affecting the CDP system's performance. To explain the application of the method, we present several representative snapshot views of the CDP systems and propose a model for analyzing the systems' performances. The main contribution of the present study is that we provide a methodological guide for CDP systems optimization.
{"title":"The Snapshot View Analysis for Continuous Data Protection","authors":"Yong Cheng, Huaizhe Zhou, Jiangjiang Wu, Jun Ma, Zhiying Wang","doi":"10.1109/ICNISC.2017.00042","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00042","url":null,"abstract":"In this paper, we present a new way for evaluating the Continuous Data Protection (CDP) system. This method primarily describes the CDP systems in their snapshot views, which focus on the major issues affecting the CDP system's performance. To explain the application of the method, we present several representative snapshot views of the CDP systems and propose a model for analyzing the systems' performances. The main contribution of the present study is that we provide a methodological guide for CDP systems optimization.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125597528","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00057
Zheng Zhou, Zhinong Zhong, Jun Li, Jiangjiang Wu
With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.
{"title":"Design and Implementation of Real-Time Storage Technology for Mass Satellite Remote Sensing Data","authors":"Zheng Zhou, Zhinong Zhong, Jun Li, Jiangjiang Wu","doi":"10.1109/ICNISC.2017.00057","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00057","url":null,"abstract":"With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125631170","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00036
Yunnan Li, Y. Miao, S. Lue
The university entrance exam to college is not only a process of comprehensive consideration of subjective and objective information, but also a comprehensive decision-making process. How to choose the satisfactory colleges, estimate the score line and order applications according to their own conditions and interests is an important problem. In this paper, based on the purpose of choosing a good university, the index score smoothing method is used to estimate the score line, and then cost and risk are used to screen the factors of the applications under the circumstance that the scores of science candidates are already known. AHP is used to establish the comprehensive analysis model, and the real cases are used for discussion and analysis. This method provides scientific reference for students to apply for universities and colleges after the college entrance examination.
{"title":"A Comprehensive Analysis Method of Application in College Entrance Examination","authors":"Yunnan Li, Y. Miao, S. Lue","doi":"10.1109/ICNISC.2017.00036","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00036","url":null,"abstract":"The university entrance exam to college is not only a process of comprehensive consideration of subjective and objective information, but also a comprehensive decision-making process. How to choose the satisfactory colleges, estimate the score line and order applications according to their own conditions and interests is an important problem. In this paper, based on the purpose of choosing a good university, the index score smoothing method is used to estimate the score line, and then cost and risk are used to screen the factors of the applications under the circumstance that the scores of science candidates are already known. AHP is used to establish the comprehensive analysis model, and the real cases are used for discussion and analysis. This method provides scientific reference for students to apply for universities and colleges after the college entrance examination.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134391134","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00026
Hao Huang, Xiaoling Xia
Traditional BP neural network has the disadvantage that it is easy to fall into the local optimum, easily get affected by initial value, so the effect is not stable in practical application. Therefore, in this paper, when the BP neural network is used for the evaluation of the quality of red wine, the artificial bee colony algorithm is used to optimize it, the optimal parameters of the artificial neural network algorithm with the best fitness are used to replace the random initialized parameters of the BP neural network, so as to avoid the neural network falling into a local optimum, can solve the problem of slow convergence speed of the neural network algorithm. The experimental results show that this method has higher accuracy and stability.
{"title":"Wine Quality Evaluation Model Based on Artificial Bee Colony and BP Neural Network","authors":"Hao Huang, Xiaoling Xia","doi":"10.1109/ICNISC.2017.00026","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00026","url":null,"abstract":"Traditional BP neural network has the disadvantage that it is easy to fall into the local optimum, easily get affected by initial value, so the effect is not stable in practical application. Therefore, in this paper, when the BP neural network is used for the evaluation of the quality of red wine, the artificial bee colony algorithm is used to optimize it, the optimal parameters of the artificial neural network algorithm with the best fitness are used to replace the random initialized parameters of the BP neural network, so as to avoid the neural network falling into a local optimum, can solve the problem of slow convergence speed of the neural network algorithm. The experimental results show that this method has higher accuracy and stability.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133001932","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 : 2017-04-01DOI: 10.1109/ICNISC.2017.00067
Feng Wang
At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.
{"title":"UAV Flight at Low Altitude Based on Binocular Vision","authors":"Feng Wang","doi":"10.1109/ICNISC.2017.00067","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00067","url":null,"abstract":"At present, there are two problems in the low-altitude and low-speed state of the civil unmanned aerial vehicle (UAV), and there are two problems in this state. First, there is security when the UAV takes off and landing. Hidden danger, and second, low-altitude low-speed UAV flight stability and object distance recognition. In view of the above problems, this paper presents a method based on the principle of binocular recognition, and uses the binocular recognition image processing technology to construct the fuzzy artificial identification range system, and improves the low altitude complex environment control algorithm. Experiments show that the program to improve the aircraft low-altitude low-speed flight performance, making the UAV can achieve a range of 2 meters obstruction unmanned flight within 1 meter range of fixed-point landing.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243917","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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