In the process of battlefield target identification and decision-making, it has the characteristics of real-time change of target parameter data and large amount of data. The previous target value analysis methods have large limitations. Considering the impact of real-time data driving on target value analysis and decision-making, the cloud model is used to target the target. The uncertain and fuzzy information in the real-time data is quantified to generate cloud membership; based on the data envelopment analysis (DEA) method, a relatively optimal efficiency decision-making tool, the value of the battlefield target is carried out. Sorting and decision making. Finally, a numerical example is analysed to verify the applicability and correctness of the model. The calculation example shows that the model can meet the timeliness of hitting targets in wartime, and it provides a practical mathematical tool for analysis of the value of battlefield targets.
{"title":"Battlefield Target Intelligent Value Analysis Based on Real-Time Data","authors":"Jun Lu, Dongliang Yin","doi":"10.1145/3558819.3565184","DOIUrl":"https://doi.org/10.1145/3558819.3565184","url":null,"abstract":"In the process of battlefield target identification and decision-making, it has the characteristics of real-time change of target parameter data and large amount of data. The previous target value analysis methods have large limitations. Considering the impact of real-time data driving on target value analysis and decision-making, the cloud model is used to target the target. The uncertain and fuzzy information in the real-time data is quantified to generate cloud membership; based on the data envelopment analysis (DEA) method, a relatively optimal efficiency decision-making tool, the value of the battlefield target is carried out. Sorting and decision making. Finally, a numerical example is analysed to verify the applicability and correctness of the model. The calculation example shows that the model can meet the timeliness of hitting targets in wartime, and it provides a practical mathematical tool for analysis of the value of battlefield targets.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281431","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}
According to the control problem of lake water level, an intelligent water level control system based on Internet of Things is designed. The system takes the gateway controller with high performance and low power consumption as the core, combines ZigBee wireless sensor network and relay automatic control technology, realizes the monitoring and display of lake water environmental factors, intelligently controls the water pump according to the lake water level, and sends alarm information in abnormal situations.The framework of lake water intelligent management system based on Internet of things can also be divided into three layers: sensor layer, network layer and application layer. Through equipment selection and the development of wireless sensor network based on zstack, the set function is realized, and the operation test results are good.
{"title":"Implementation Scheme of Intelligent Water Level Control System based on Internet of Things","authors":"Fang-liang Liu","doi":"10.1145/3558819.3565200","DOIUrl":"https://doi.org/10.1145/3558819.3565200","url":null,"abstract":"According to the control problem of lake water level, an intelligent water level control system based on Internet of Things is designed. The system takes the gateway controller with high performance and low power consumption as the core, combines ZigBee wireless sensor network and relay automatic control technology, realizes the monitoring and display of lake water environmental factors, intelligently controls the water pump according to the lake water level, and sends alarm information in abnormal situations.The framework of lake water intelligent management system based on Internet of things can also be divided into three layers: sensor layer, network layer and application layer. Through equipment selection and the development of wireless sensor network based on zstack, the set function is realized, and the operation test results are good.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125419342","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}
With the development of social economy, the market mechanism tends to be perfect, which promotes the tourism industry to a new height. With the rapid development of tourism industry, management problems have become increasingly prominent. This paper makes an in-depth analysis of tourism planning and management from multiple perspectives. In view of the poor performance of the original optimal tourism route optimization model in obtaining the shortest route, this paper constructs the optimal tourism route optimization model based on ant colony optimization algorithm, sets the route selection process, and uses ant colony algorithm to complete the optimal route selection. According to the results of route selection, pheromone update rules and route model format are set to complete the construction of optimal route optimization model. Compared with the traditional model, the path chosen by the model is shorter and the cost is lower. At the same time, using BP neural network model and matlab calculation program to evaluate tourism resources can avoid the influence of subjective factors on the evaluation results to the greatest extent. On this basis, the evaluation model is designed, and the error value of the evaluation model is analyzed. This paper mainly focuses on the relevant measures of tourism management and puts forward a tourist flow forecasting model based on data mining. Firstly, the historical data of tourism flow are collected, and then the chaos algorithm is introduced to construct the learning sample of tourism flow prediction. Finally, the particle swarm optimization algorithm is introduced to optimize the parameters of the tourist flow forecasting model. The simulation results show that, compared with the BP neural network optimized by particle swarm optimization and support vector machine, this model can describe the changing characteristics of passenger flow in scenic spots more accurately, and the prediction error of passenger flow in scenic spots is much smaller than that of the contrast model, and a more ideal passenger flow prediction result is obtained, which can put forward a new solution strategy in the field of tourism management.
{"title":"Research on Optimization and Improvement of Intelligent Management System based on Big Data Mining and ant Colony Algorithm","authors":"Juncheng Ma","doi":"10.1145/3558819.3565090","DOIUrl":"https://doi.org/10.1145/3558819.3565090","url":null,"abstract":"With the development of social economy, the market mechanism tends to be perfect, which promotes the tourism industry to a new height. With the rapid development of tourism industry, management problems have become increasingly prominent. This paper makes an in-depth analysis of tourism planning and management from multiple perspectives. In view of the poor performance of the original optimal tourism route optimization model in obtaining the shortest route, this paper constructs the optimal tourism route optimization model based on ant colony optimization algorithm, sets the route selection process, and uses ant colony algorithm to complete the optimal route selection. According to the results of route selection, pheromone update rules and route model format are set to complete the construction of optimal route optimization model. Compared with the traditional model, the path chosen by the model is shorter and the cost is lower. At the same time, using BP neural network model and matlab calculation program to evaluate tourism resources can avoid the influence of subjective factors on the evaluation results to the greatest extent. On this basis, the evaluation model is designed, and the error value of the evaluation model is analyzed. This paper mainly focuses on the relevant measures of tourism management and puts forward a tourist flow forecasting model based on data mining. Firstly, the historical data of tourism flow are collected, and then the chaos algorithm is introduced to construct the learning sample of tourism flow prediction. Finally, the particle swarm optimization algorithm is introduced to optimize the parameters of the tourist flow forecasting model. The simulation results show that, compared with the BP neural network optimized by particle swarm optimization and support vector machine, this model can describe the changing characteristics of passenger flow in scenic spots more accurately, and the prediction error of passenger flow in scenic spots is much smaller than that of the contrast model, and a more ideal passenger flow prediction result is obtained, which can put forward a new solution strategy in the field of tourism management.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494865","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 response to the current low efficiency and high energy consumption of the tinning process, we designed an ultrasonic automated tinning device based on the ellipsoidal focusing effect. The process control is carried out by a set program, so that the device has a high degree of automation, can accurately pick up, transfer and fix the workpiece to be processed (mainly SMT components), so that it can be fixed on the carrier plate, movement, and unmanned completion of large quantities of tinning, the device mainly uses the ellipsoidal focusing device to focus the ultrasonic wave to use the cavitation effect to remove the oxide film and complete the tinning, which can greatly improve the work efficiency, and avoid the harm of chemical and acoustic contamination during the tinning process. It can greatly improve the work efficiency and avoid the harm of chemical reagents and acoustic pollution to human body in the process of tinning.
{"title":"An automated ultrasonic tinning machine based on ellipsoidal focusing effect and intelligent computing","authors":"Shuai Yuan, Yanshen Huang","doi":"10.1145/3558819.3565101","DOIUrl":"https://doi.org/10.1145/3558819.3565101","url":null,"abstract":"In response to the current low efficiency and high energy consumption of the tinning process, we designed an ultrasonic automated tinning device based on the ellipsoidal focusing effect. The process control is carried out by a set program, so that the device has a high degree of automation, can accurately pick up, transfer and fix the workpiece to be processed (mainly SMT components), so that it can be fixed on the carrier plate, movement, and unmanned completion of large quantities of tinning, the device mainly uses the ellipsoidal focusing device to focus the ultrasonic wave to use the cavitation effect to remove the oxide film and complete the tinning, which can greatly improve the work efficiency, and avoid the harm of chemical and acoustic contamination during the tinning process. It can greatly improve the work efficiency and avoid the harm of chemical reagents and acoustic pollution to human body in the process of tinning.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130728932","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}
Missing values often exist in scientific datasets. Therefore, practical methods for missing data imputation and classification are necessary for machine learning, data analysis. The k-Nearest Neighbor (KNN) algorithm is a simple and effective algorithm in missing data imputation and classification. This paper focuses on the missing data classification problem and proposes a new classification method based on the local mean k-nearest centroid neighbour. When making classification judgments, the proposed method examines the closeness and symmetrical arrangement of the k neighbours and adopts the local mean-based vector of the k centroid neighbours for each class. We run classification error experiments on six UCI datasets to see how well the proposed method performs when there is missing data. Experimental results show that the performance of our proposed method obtains a significant improvement compared to the most advanced KNN-based algorithms.
{"title":"An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data","authors":"Yezhen Wang","doi":"10.1145/3558819.3565209","DOIUrl":"https://doi.org/10.1145/3558819.3565209","url":null,"abstract":"Missing values often exist in scientific datasets. Therefore, practical methods for missing data imputation and classification are necessary for machine learning, data analysis. The k-Nearest Neighbor (KNN) algorithm is a simple and effective algorithm in missing data imputation and classification. This paper focuses on the missing data classification problem and proposes a new classification method based on the local mean k-nearest centroid neighbour. When making classification judgments, the proposed method examines the closeness and symmetrical arrangement of the k neighbours and adopts the local mean-based vector of the k centroid neighbours for each class. We run classification error experiments on six UCI datasets to see how well the proposed method performs when there is missing data. Experimental results show that the performance of our proposed method obtains a significant improvement compared to the most advanced KNN-based algorithms.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129422564","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}
Shiping Yang, L. xilinx Wang, Zhen Li, Y. Zhang, Chenggong Wang
On the basis of studying the principle of intelligent optimization of power grid corridor, based on the data of restrictive geographic information database, the basic principles of evaluation system are formulated from the aspects of safety, economy and environmental protection. Firstly, the triangular fuzzy analytic hierarchy process (TFAHP) is used to construct the evaluation system model, and the quantitative evaluation index is obtained. Secondly, the initial optimal path of transmission line is determined by cell value calculation. Finally, the best transmission line path is obtained by comprehensive analysis of spatial location information and influencing factors, and the final optimization scheme of transmission line path is realized. The data analysis and model construction of this system provide direct data reference and theoretical model of path optimization for power grid path selection in complex terrain.
{"title":"Intelligent Optimization of Power Grid Corridor based on TFAHP-CA Algorithm","authors":"Shiping Yang, L. xilinx Wang, Zhen Li, Y. Zhang, Chenggong Wang","doi":"10.1145/3558819.3565188","DOIUrl":"https://doi.org/10.1145/3558819.3565188","url":null,"abstract":"On the basis of studying the principle of intelligent optimization of power grid corridor, based on the data of restrictive geographic information database, the basic principles of evaluation system are formulated from the aspects of safety, economy and environmental protection. Firstly, the triangular fuzzy analytic hierarchy process (TFAHP) is used to construct the evaluation system model, and the quantitative evaluation index is obtained. Secondly, the initial optimal path of transmission line is determined by cell value calculation. Finally, the best transmission line path is obtained by comprehensive analysis of spatial location information and influencing factors, and the final optimization scheme of transmission line path is realized. The data analysis and model construction of this system provide direct data reference and theoretical model of path optimization for power grid path selection in complex terrain.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702669","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}
With the increase in car ownership, assisted driving has become the focus of car manufacturers. In the vehicle surround view image, the vehicle auxiliary line can help the driver to accurately understand his own driving trajectory and assist safe driving. The vehicle auxiliary line rendering process designed in this paper not only supports rendering vehicle auxiliary lines in traditional undistorted images, but also supports rendering vehicle auxiliary lines in distorted images. The rendering methods of 3D mode and 2D vehicle auxiliary lines are designed separately, which reduces the CPU usage. The bicycle model is optimized to reduce the computational complexity without affecting the accuracy of the vehicle auxiliary line. Using the table lookup method not only reduces the computational complexity, but also improves the accuracy of vehicle auxiliary lines. Experiments show that this technique can render vehicle auxiliary lines accurately.
{"title":"Design and Optimization of Vehicle Auxiliary Lines in Vehicle Surround View Image","authors":"Yanyan Wang, Gui Hu, Shuyu Liang, Daming Li","doi":"10.1145/3558819.3565089","DOIUrl":"https://doi.org/10.1145/3558819.3565089","url":null,"abstract":"With the increase in car ownership, assisted driving has become the focus of car manufacturers. In the vehicle surround view image, the vehicle auxiliary line can help the driver to accurately understand his own driving trajectory and assist safe driving. The vehicle auxiliary line rendering process designed in this paper not only supports rendering vehicle auxiliary lines in traditional undistorted images, but also supports rendering vehicle auxiliary lines in distorted images. The rendering methods of 3D mode and 2D vehicle auxiliary lines are designed separately, which reduces the CPU usage. The bicycle model is optimized to reduce the computational complexity without affecting the accuracy of the vehicle auxiliary line. Using the table lookup method not only reduces the computational complexity, but also improves the accuracy of vehicle auxiliary lines. Experiments show that this technique can render vehicle auxiliary lines accurately.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126190897","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}
Jiacheng Wu, Junyi Huang, Qian Yang, Yin-Ying Tang, C. Shi
This paper collected historical data of water resources of provincial administrative units in China, used the grey prediction model to predict the supply and demand of freshwater resources in China from 2020 to 2032 and obtained the final prediction results. Then, this paper calculated the coefficient of variation in water supply, the coefficient of supply and demand, the coefficient of pollution, and other indicators and used the TOPSIS model based on the entropy weight method to determine the proportion of each indicator. The ranking of the water demand degree of each city, water resource pollution degree, and seawater desalination potential are calculated according to the weights. Specific schemes of priority water storage, water protection, and seawater desalination facilities are provided. Finally, based on the model 2 conclusion to determine water city, the provincial administrative units prepare for the node figure, Dijkstra algorithm using MATLAB program, to solve the shortest path, get the four most economical and efficient route, specific route plan for water transport.
{"title":"Research on Intelligent Distribution and Regulation of Water Resources based on Grey Prediction and TOPSIS","authors":"Jiacheng Wu, Junyi Huang, Qian Yang, Yin-Ying Tang, C. Shi","doi":"10.1145/3558819.3565088","DOIUrl":"https://doi.org/10.1145/3558819.3565088","url":null,"abstract":"This paper collected historical data of water resources of provincial administrative units in China, used the grey prediction model to predict the supply and demand of freshwater resources in China from 2020 to 2032 and obtained the final prediction results. Then, this paper calculated the coefficient of variation in water supply, the coefficient of supply and demand, the coefficient of pollution, and other indicators and used the TOPSIS model based on the entropy weight method to determine the proportion of each indicator. The ranking of the water demand degree of each city, water resource pollution degree, and seawater desalination potential are calculated according to the weights. Specific schemes of priority water storage, water protection, and seawater desalination facilities are provided. Finally, based on the model 2 conclusion to determine water city, the provincial administrative units prepare for the node figure, Dijkstra algorithm using MATLAB program, to solve the shortest path, get the four most economical and efficient route, specific route plan for water transport.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537715","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}
The ILS electromagnetic environment can easily be changed by large objects reflection, which result in degradation of the signal-in-space. Therefore, how to choose a suitable localizer antenna is very important. The higher the operating category of ILS is, the stricter requirements for the localizer course structure will be, especially for Category Ⅱ/III, In the paper, three typical antennas are compared by computer simulation, and the results show the scalloping of course structures under different types of antennas. Computer simulation is very helpful to study the selection of localizer antenna for ILS Category Ⅱ/III. Computer simulation can identify the structure disturbance before construction and help engineers find solutions. This can also effectively protect electromagnetic environment of the airport and ensure operation safety.
{"title":"Study on the type selection of localizer antenna in Category Ⅱ/III of instrument landing system","authors":"Mu-qiong Chen, Yanlong Sun","doi":"10.1145/3558819.3565121","DOIUrl":"https://doi.org/10.1145/3558819.3565121","url":null,"abstract":"The ILS electromagnetic environment can easily be changed by large objects reflection, which result in degradation of the signal-in-space. Therefore, how to choose a suitable localizer antenna is very important. The higher the operating category of ILS is, the stricter requirements for the localizer course structure will be, especially for Category Ⅱ/III, In the paper, three typical antennas are compared by computer simulation, and the results show the scalloping of course structures under different types of antennas. Computer simulation is very helpful to study the selection of localizer antenna for ILS Category Ⅱ/III. Computer simulation can identify the structure disturbance before construction and help engineers find solutions. This can also effectively protect electromagnetic environment of the airport and ensure operation safety.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124405919","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}
The campus second-hand commodity trading platform is a trading platform based on MVC architecture developed by using eclipse and SQL Sever database. The whole system is developed for campus C2C system between students (e-commerce between individuals). The campus C2C second-hand transaction system not only strengthens the exchange and purchase among students, but also provides students with better services.
{"title":"Design and implementation of intelligent second-hand platform based on big data MVC architecture and information processing","authors":"Shuo Zhang, Xiangrui Meng","doi":"10.1145/3558819.3565183","DOIUrl":"https://doi.org/10.1145/3558819.3565183","url":null,"abstract":"The campus second-hand commodity trading platform is a trading platform based on MVC architecture developed by using eclipse and SQL Sever database. The whole system is developed for campus C2C system between students (e-commerce between individuals). The campus C2C second-hand transaction system not only strengthens the exchange and purchase among students, but also provides students with better services.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127834350","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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