Pub Date : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00155
Qi Yang, Qunbin Chen, Pai Zhang
In this study, we prove strong stability for a typical time-varying nonlinear dynamic system in batch culture, which is hard to obtain analytical solutions and equilibrium points. To this end, firstly, we construct a linear variational system to the nonlinear dynamic system. Secondly, we give a proof that the fundamental matrix solution to this dynamic system is bounded. Combined with the above two points, the strong stability for the nonlinear dynamic system is proved.
{"title":"Strong Stability of Optimal Design for a Time-varying Dynamic System in Batch Culture","authors":"Qi Yang, Qunbin Chen, Pai Zhang","doi":"10.1109/ICNISC54316.2021.00155","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00155","url":null,"abstract":"In this study, we prove strong stability for a typical time-varying nonlinear dynamic system in batch culture, which is hard to obtain analytical solutions and equilibrium points. To this end, firstly, we construct a linear variational system to the nonlinear dynamic system. Secondly, we give a proof that the fundamental matrix solution to this dynamic system is bounded. Combined with the above two points, the strong stability for the nonlinear dynamic system is proved.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910195","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00174
Chunxia Zhang, Longxue Li, Xudong Li
Chinese character recognition has always attracted much attention in our country and is widely used in our lives and work. The combination of deep learning and neural networks and other algorithms has greatly improved the accuracy and speed. This article reviews the research status and related background of deep learning in the field of Chinese character recognition. First, it introduces the development process of Chinese character recognition and neural network algorithms. Secondly, it describes the Chinese character recognition architecture based on neural network, classifies and outlines the relevant methods of handwritten Chinese character recognition in simple scenarios and text recognition in complex scenarios, explains the construction and characteristics of network models, and analyzes and summarizes the characteristics of each network model. The shortcomings, and finally prospects for future research.
{"title":"A Survey of Chinese Character Recognition Research Based on Deep Learning","authors":"Chunxia Zhang, Longxue Li, Xudong Li","doi":"10.1109/ICNISC54316.2021.00174","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00174","url":null,"abstract":"Chinese character recognition has always attracted much attention in our country and is widely used in our lives and work. The combination of deep learning and neural networks and other algorithms has greatly improved the accuracy and speed. This article reviews the research status and related background of deep learning in the field of Chinese character recognition. First, it introduces the development process of Chinese character recognition and neural network algorithms. Secondly, it describes the Chinese character recognition architecture based on neural network, classifies and outlines the relevant methods of handwritten Chinese character recognition in simple scenarios and text recognition in complex scenarios, explains the construction and characteristics of network models, and analyzes and summarizes the characteristics of each network model. The shortcomings, and finally prospects for future research.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007877","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00017
Yuyang Ji, Yanjun Ji
In this paper,the logarithmic domain efficient decoding algorithm of LDPC code has been deeply studied,and the efficient algorithm with tree topology structure has been improved. The fixed-point representation and reweighting analysis of the receiving and processing information of LDPC code decoding has been carried out. At the same time,based on Quartus development software platform and Verilog HDL language,the efficient parallel decoding algorithm of regular LDPC code with length of 8designed by geometric construction method is designed, and the circuit design and simulation results of some main modules are given. The logic synthesis and implementation of the whole algorithm are carried out on StatixL EP2S60F484C3.The highest data processing rate is 10Mbps,and the error correction performance is ideal. After the reprocessing method is adopted,all the information in the decoding implementation process is the same standard,and there is no need for additional processing , which reduces the hardware complexity and calculation delay,and meets the needs of engineering implementation.
{"title":"Hardware Implementation Method of LDPC Efficient Decoding Based on FPGA","authors":"Yuyang Ji, Yanjun Ji","doi":"10.1109/ICNISC54316.2021.00017","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00017","url":null,"abstract":"In this paper,the logarithmic domain efficient decoding algorithm of LDPC code has been deeply studied,and the efficient algorithm with tree topology structure has been improved. The fixed-point representation and reweighting analysis of the receiving and processing information of LDPC code decoding has been carried out. At the same time,based on Quartus development software platform and Verilog HDL language,the efficient parallel decoding algorithm of regular LDPC code with length of 8designed by geometric construction method is designed, and the circuit design and simulation results of some main modules are given. The logic synthesis and implementation of the whole algorithm are carried out on StatixL EP2S60F484C3.The highest data processing rate is 10Mbps,and the error correction performance is ideal. After the reprocessing method is adopted,all the information in the decoding implementation process is the same standard,and there is no need for additional processing , which reduces the hardware complexity and calculation delay,and meets the needs of engineering implementation.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408305","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00107
Yajiao Lin, Weili Chen, Haonan Li
As an independent comprehensive system, Electrical Wiring Interconnection System (EWIS) has the characteristics of high degree of integration, complex installation environment, many components selection, huge system data and fast technology refresh and iteration. According to the distinguishing feature of EWIS development, this platform uses Dreamweaver to make the basic framework and modify the page, Apache + PHP + MySQL software architecture to build a dynamic website operation platform, build a life cycle EWIS data integration management platform with friendly visual interface, and integrate the design data such as input, scheme, design process data, design documents and design drawings in the EWIS design process, At the same time, we design a multi person collaborative data transfer module to realize the continuity and iteration of EWIS data.
{"title":"Conception of Building EWIS Data Integration Management Platform","authors":"Yajiao Lin, Weili Chen, Haonan Li","doi":"10.1109/ICNISC54316.2021.00107","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00107","url":null,"abstract":"As an independent comprehensive system, Electrical Wiring Interconnection System (EWIS) has the characteristics of high degree of integration, complex installation environment, many components selection, huge system data and fast technology refresh and iteration. According to the distinguishing feature of EWIS development, this platform uses Dreamweaver to make the basic framework and modify the page, Apache + PHP + MySQL software architecture to build a dynamic website operation platform, build a life cycle EWIS data integration management platform with friendly visual interface, and integrate the design data such as input, scheme, design process data, design documents and design drawings in the EWIS design process, At the same time, we design a multi person collaborative data transfer module to realize the continuity and iteration of EWIS data.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127155239","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}
Hippocampus is one of the first affected brain regions in Alzheimer's disease (AD). To help AD diagnosis, hippocampal atrophy have been studied extensively, but accurate segmentation of hippocampus has always been a difficult problem. In this study, we propose a 3D multi-scale multi-attention UNet with the use of multi-scale inception module, residual connections and attention modules for automatic hippocampal segmentation. Experimental results on the HarP dataset show that our proposed method can achieve average Dice coefficient of 0.827 for hippocampal segmentation, which outperform classic 3D UNet. The efficiency and accuracy of the proposed methods suggests that it may facilitate the study of the hippocampus for large-scale studies.
{"title":"A 3D Multi-Scale Multi-Attention UNet for Automatic Hippocampal Segmentation","authors":"Lan Lin, Wenjie Kang, Yuchao Wu, Yuhan Zhao, Sixue Wang, Danyi Lin, Jinlu Gao","doi":"10.1109/ICNISC54316.2021.00025","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00025","url":null,"abstract":"Hippocampus is one of the first affected brain regions in Alzheimer's disease (AD). To help AD diagnosis, hippocampal atrophy have been studied extensively, but accurate segmentation of hippocampus has always been a difficult problem. In this study, we propose a 3D multi-scale multi-attention UNet with the use of multi-scale inception module, residual connections and attention modules for automatic hippocampal segmentation. Experimental results on the HarP dataset show that our proposed method can achieve average Dice coefficient of 0.827 for hippocampal segmentation, which outperform classic 3D UNet. The efficiency and accuracy of the proposed methods suggests that it may facilitate the study of the hippocampus for large-scale studies.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137142","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00087
Erni Guo, Bing Bu
Communication-based train control (CBTC) systems are threatened by information attacks, which may seriously disturb the operation of trains. In this paper, we propose a method to quantitatively study the resilience of CBTC systems under information attacks. Based on the key features of CBTC systems, a resource state model is proposed to analyze the impact of information attacks on resources. It studies the relation between resources and the operation states of trains, to measure the performance of CBTC systems under different operation states of trains. And it quantifies the resilience of CBTC systems under information attacks. The model uses redundant resources to reflect the resistance of resilience to highlight the fault-tolerance of the system. And the model considers the characteristics of system fail-safe for the first time. Finally, Monte Carlo method is used to simulate a CBTC system under different information attacks scenarios. Simulation results show that our method can effectively evaluate the effect of information attacks on the resilience and find the key weak points of a CBTC system.
{"title":"CBTC Systems Resilience Evaluation Based on Resource State Model under DoS Attacks","authors":"Erni Guo, Bing Bu","doi":"10.1109/ICNISC54316.2021.00087","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00087","url":null,"abstract":"Communication-based train control (CBTC) systems are threatened by information attacks, which may seriously disturb the operation of trains. In this paper, we propose a method to quantitatively study the resilience of CBTC systems under information attacks. Based on the key features of CBTC systems, a resource state model is proposed to analyze the impact of information attacks on resources. It studies the relation between resources and the operation states of trains, to measure the performance of CBTC systems under different operation states of trains. And it quantifies the resilience of CBTC systems under information attacks. The model uses redundant resources to reflect the resistance of resilience to highlight the fault-tolerance of the system. And the model considers the characteristics of system fail-safe for the first time. Finally, Monte Carlo method is used to simulate a CBTC system under different information attacks scenarios. Simulation results show that our method can effectively evaluate the effect of information attacks on the resilience and find the key weak points of a CBTC system.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114934463","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00137
Hang Li, Yi Lin, Yiyang Duan, K. Si, Peng Li
In complex marine or unpredictable combat environments, there may be unstable and even loss of GPS for the integrated navigation system of unmanned surface vehicles (USVs). This paper analyzes the error model of loose combination navigation, and proposes a method of the recurrent neural network (RNN) aided inertial navigation system (INS). When the GPS signal is interrupted, the RNN is used to correct the navigation error of the INS. Simulation results show that in case of unstable GPS, the RNN-aided navigation system can ensure rapid convergence of error, and the east position error can be kept within a satisfactory scope. Compared with the single inertial navigation system, the navigation accuracy is effectively improved.
{"title":"Integrated Navigation Algorithm for Intelligent USVs with Unstable GPS","authors":"Hang Li, Yi Lin, Yiyang Duan, K. Si, Peng Li","doi":"10.1109/ICNISC54316.2021.00137","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00137","url":null,"abstract":"In complex marine or unpredictable combat environments, there may be unstable and even loss of GPS for the integrated navigation system of unmanned surface vehicles (USVs). This paper analyzes the error model of loose combination navigation, and proposes a method of the recurrent neural network (RNN) aided inertial navigation system (INS). When the GPS signal is interrupted, the RNN is used to correct the navigation error of the INS. Simulation results show that in case of unstable GPS, the RNN-aided navigation system can ensure rapid convergence of error, and the east position error can be kept within a satisfactory scope. Compared with the single inertial navigation system, the navigation accuracy is effectively improved.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990565","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00042
Xin-xing Gong
Artificial intelligence, as the main driving force of the new scientific and technological revolution, will inevitably bring some threat to the future in the process of upgrading and transformation, but more importantly, the new development opportunities. Ideological and political work has always been the “lifeline” of the work of the Party and the state, and will usher in unprecedented development opportunities in the era of artificial intelligence. Artificial intelligence as an information technology can enable ideological and political education in colleges and universities, one is to expand in time, space and situation, that is, to increase free time, expand space, and create a scene of localization to eliminate the dual opposition between the subject and object of ideological and political education and highlight its Noumenon; the other is to create a personalized education with meticulous, accurate and exquisite characteristics; and the third is to use “bit,” man-machine integration”, “Cognitive Outsourcing” realizes the co-construction, co-governance and sharing of ideological and political education resources in colleges and universities; fourth, using big data thinking, deep learning concept and machine learning. The principle of “black box” explores new laws, new ideas and new models of ideological and political education theory.
{"title":"Exploration on the Opportunity of Ideological and Political Education in the Age of Artificial Intelligence","authors":"Xin-xing Gong","doi":"10.1109/ICNISC54316.2021.00042","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00042","url":null,"abstract":"Artificial intelligence, as the main driving force of the new scientific and technological revolution, will inevitably bring some threat to the future in the process of upgrading and transformation, but more importantly, the new development opportunities. Ideological and political work has always been the “lifeline” of the work of the Party and the state, and will usher in unprecedented development opportunities in the era of artificial intelligence. Artificial intelligence as an information technology can enable ideological and political education in colleges and universities, one is to expand in time, space and situation, that is, to increase free time, expand space, and create a scene of localization to eliminate the dual opposition between the subject and object of ideological and political education and highlight its Noumenon; the other is to create a personalized education with meticulous, accurate and exquisite characteristics; and the third is to use “bit,” man-machine integration”, “Cognitive Outsourcing” realizes the co-construction, co-governance and sharing of ideological and political education resources in colleges and universities; fourth, using big data thinking, deep learning concept and machine learning. The principle of “black box” explores new laws, new ideas and new models of ideological and political education theory.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130441385","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00023
Bo Su, B. Jiang, Le Qi
Inspecting an ejection device of an aircraft has been a long-standing problem due to technical, safety and cost restraints. A novel inspection instrument was designed to meet this need using low-pressure cold gas instead of the high-pressure gas. Dynamic simulation and analysis were carried out to approximate nominal parameters and MCU+CPLD design was used to increase the clock division option of the system to adapt to different ejection velocities to reduce errors. Application feedback from the fields shows that the instrument is easy to operate and reliable, and can check the performance of many types of ejection device, which will improve reliability and accuracy of releasing, the level of protection for the ejection device and effectively guarantee flight safety and the completion of training tasks.
{"title":"A Novel Design Scheme for an Ejection Device Inspection Instrument","authors":"Bo Su, B. Jiang, Le Qi","doi":"10.1109/ICNISC54316.2021.00023","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00023","url":null,"abstract":"Inspecting an ejection device of an aircraft has been a long-standing problem due to technical, safety and cost restraints. A novel inspection instrument was designed to meet this need using low-pressure cold gas instead of the high-pressure gas. Dynamic simulation and analysis were carried out to approximate nominal parameters and MCU+CPLD design was used to increase the clock division option of the system to adapt to different ejection velocities to reduce errors. Application feedback from the fields shows that the instrument is easy to operate and reliable, and can check the performance of many types of ejection device, which will improve reliability and accuracy of releasing, the level of protection for the ejection device and effectively guarantee flight safety and the completion of training tasks.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130521156","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00171
Chiyuan Qu, Zhuhao Lu, Tianyun Hu
Object detection technique is adopted in fishery, that is detecting fish. We choose to use YOLO v4, a new and efficient target detection network for sampling detection. Manual counting of fish is prone to deviations and costs a lot of manpower. Using YOLO v4 to detect fish can improve the working efficiency of the fishery and reduce management costs. We used the pictures of fishes taken from the videos taken in the pipeline of Qiandao Lake fishery. Then we preprocessed the pictures, enriched the data set and use them for training to achieve the engineering of fish detection. Finally, the target recognition accuracy of the training is over 85%, and the fps is over 14. It can realize the function of real-time detection on the basis of accurately and accurately detecting fish.
{"title":"Research on Intelligent Management of Fishing Ground Based on Target Detection","authors":"Chiyuan Qu, Zhuhao Lu, Tianyun Hu","doi":"10.1109/ICNISC54316.2021.00171","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00171","url":null,"abstract":"Object detection technique is adopted in fishery, that is detecting fish. We choose to use YOLO v4, a new and efficient target detection network for sampling detection. Manual counting of fish is prone to deviations and costs a lot of manpower. Using YOLO v4 to detect fish can improve the working efficiency of the fishery and reduce management costs. We used the pictures of fishes taken from the videos taken in the pipeline of Qiandao Lake fishery. Then we preprocessed the pictures, enriched the data set and use them for training to achieve the engineering of fish detection. Finally, the target recognition accuracy of the training is over 85%, and the fps is over 14. It can realize the function of real-time detection on the basis of accurately and accurately detecting fish.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130607926","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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