Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.62
Jianfeng Liao, J. You, Qun Zhang
In the era of big data, university library information management services must be based on actual conditions, using high-quality data to improve big data management. However, high-quality big data is useful data that needs to be filtered and classified. Big data cleansing is an effective way to improve data quality. To this end, the paper proposes to integrate the data resources of efficient libraries, analyze the source and type of useless data, and design a hierarchical management model of data. The model includes management operation level, data cleaning and filtering level, data integration level and big data. At the resource utilization level, after attempting to filter invalid data through data cleaning, the complexity of big data decision analysis is reduced, library big data integration is promoted, big data decision-making is realized, and the possibility of library big data integration and sharing is improved.
{"title":"Research on Library Big Data Cleaning System based on Big Data Decision Analysis Needs","authors":"Jianfeng Liao, J. You, Qun Zhang","doi":"10.2991/ICMEIT-19.2019.62","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.62","url":null,"abstract":"In the era of big data, university library information management services must be based on actual conditions, using high-quality data to improve big data management. However, high-quality big data is useful data that needs to be filtered and classified. Big data cleansing is an effective way to improve data quality. To this end, the paper proposes to integrate the data resources of efficient libraries, analyze the source and type of useless data, and design a hierarchical management model of data. The model includes management operation level, data cleaning and filtering level, data integration level and big data. At the resource utilization level, after attempting to filter invalid data through data cleaning, the complexity of big data decision analysis is reduced, library big data integration is promoted, big data decision-making is realized, and the possibility of library big data integration and sharing is improved.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126808734","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.110
X. Deng, Xiaomeng Wang
. The contagion models of disease-spread which predict the epidemics grow with time goes by have been widely researched in social networks. The discrete-time simulation method, Monte Carlo Simulation where time is discretized into uniform steps and transition rates between states are replaced by transition probabilities, are mostly applied when simulating the models. In this paper, we propose a continuous-time approach, the Gillespie algorithm, which can be used for fast simulation of stochastic processes, is event-driven rather than using equally-spaced time steps. We show how the method can be adapted to the epidemic models, mainly in the susceptible-infected model and susceptible-infected-susceptible model, and confirm the accuracy of the method with numerical simulations. Based on the accuracy of the method, we make some changes in epidemic models to make the models more applicable.
{"title":"The Application of Gillespie Algorithm in Spreading","authors":"X. Deng, Xiaomeng Wang","doi":"10.2991/ICMEIT-19.2019.110","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.110","url":null,"abstract":". The contagion models of disease-spread which predict the epidemics grow with time goes by have been widely researched in social networks. The discrete-time simulation method, Monte Carlo Simulation where time is discretized into uniform steps and transition rates between states are replaced by transition probabilities, are mostly applied when simulating the models. In this paper, we propose a continuous-time approach, the Gillespie algorithm, which can be used for fast simulation of stochastic processes, is event-driven rather than using equally-spaced time steps. We show how the method can be adapted to the epidemic models, mainly in the susceptible-infected model and susceptible-infected-susceptible model, and confirm the accuracy of the method with numerical simulations. Based on the accuracy of the method, we make some changes in epidemic models to make the models more applicable.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127509838","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.131
Wenzhong Xia
Aiming at the poor connection and overload of electrical lines on campus, it is easy to generate fires, and then propose a wireless monitoring system to build a campus electricity monitoring system. The solution can dynamically set the threshold of the smart socket to avoid overload and affect the circuit. At the same time, it conducts intensive management for the power consumption of various types of electrical equipment on campus, and briefly summarizes the hardware and software components of the wireless sensor network of the system. The experimental research shows that the system is easy to install and debug, guarantee the safety of electricity consumption, achieve the purpose of energy saving on campus, and has high application value.
{"title":"Research on Power Monitoring System of Campus Intelligent Network based on Wireless Sensor Network","authors":"Wenzhong Xia","doi":"10.2991/ICMEIT-19.2019.131","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.131","url":null,"abstract":"Aiming at the poor connection and overload of electrical lines on campus, it is easy to generate fires, and then propose a wireless monitoring system to build a campus electricity monitoring system. The solution can dynamically set the threshold of the smart socket to avoid overload and affect the circuit. At the same time, it conducts intensive management for the power consumption of various types of electrical equipment on campus, and briefly summarizes the hardware and software components of the wireless sensor network of the system. The experimental research shows that the system is easy to install and debug, guarantee the safety of electricity consumption, achieve the purpose of energy saving on campus, and has high application value.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130481316","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.88
Jianfeng Liao, Qun Zhang, J. You
This paper deeply discusses the general situation, background and application of humancomputer interaction, and proposes a new exploration-one-hand gesture recognition in humancomputer interaction mode, and discusses the main research techniques in detail and comprehensively. The basic framework of vision-based gesture recognition system is studied. The various principles and methods of vision-based gesture positioning, gesture tracking, gesture segmentation and gesture recognition are analyzed. Based on the CamShift algorithm and the improved CamShift algorithm for gesture tracking, the CamShift algorithm cannot solve the large-area motion interference problem when solving complex dynamic changes. Therefore, it is proposed to add Kalman filter to estimate the next state. It proves that more effective gesture tracking is realized. This paper uses a more reasonable method to achieve the correct sense of input gestures through the visual channel by means of computer vision, digital image processing, pattern recognition and other theories and techniques. The response required to achieve natural human-computer interaction.
{"title":"Research on Human-Computer Interaction Technology based on Visual User Gesture Recognition","authors":"Jianfeng Liao, Qun Zhang, J. You","doi":"10.2991/ICMEIT-19.2019.88","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.88","url":null,"abstract":"This paper deeply discusses the general situation, background and application of humancomputer interaction, and proposes a new exploration-one-hand gesture recognition in humancomputer interaction mode, and discusses the main research techniques in detail and comprehensively. The basic framework of vision-based gesture recognition system is studied. The various principles and methods of vision-based gesture positioning, gesture tracking, gesture segmentation and gesture recognition are analyzed. Based on the CamShift algorithm and the improved CamShift algorithm for gesture tracking, the CamShift algorithm cannot solve the large-area motion interference problem when solving complex dynamic changes. Therefore, it is proposed to add Kalman filter to estimate the next state. It proves that more effective gesture tracking is realized. This paper uses a more reasonable method to achieve the correct sense of input gestures through the visual channel by means of computer vision, digital image processing, pattern recognition and other theories and techniques. The response required to achieve natural human-computer interaction.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116633376","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.137
Yongjun Zhang, Feiyang Ma
{"title":"Application and Optimization of Image Fuzzy Control Algorithm based on Gaussian Blur in TensorFlow Training","authors":"Yongjun Zhang, Feiyang Ma","doi":"10.2991/ICMEIT-19.2019.137","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.137","url":null,"abstract":"","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564490","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.66
Z. Chen
With the progress of science and technology, intelligent robot system has been applied in service industry. The research and design of service-oriented autonomous mobile robots have attracted more and more attention from enterprises and businesses. In this paper, an intelligent tennis pickup robot based on swarm intelligence is designed around the collection of tennis on the tennis court. Firstly, the paper briefly describes the purpose of the path planning of the Ryukyu robot and the working characteristics of the visual processing. It analyzes the problems faced by the design of the autonomous ball-racing robot. Then, based on the rolling window theory, an autonomous mobile robot based on the visual sensor is proposed. Multi-objective path planning algorithm. The algorithm effectively reduces the time for the mobile croquet robot to perform tasks and improves its croquet efficiency.
{"title":"Visual Navigation and Path Planning of Ball Picking Robot based on Swarm Intelligence","authors":"Z. Chen","doi":"10.2991/ICMEIT-19.2019.66","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.66","url":null,"abstract":"With the progress of science and technology, intelligent robot system has been applied in service industry. The research and design of service-oriented autonomous mobile robots have attracted more and more attention from enterprises and businesses. In this paper, an intelligent tennis pickup robot based on swarm intelligence is designed around the collection of tennis on the tennis court. Firstly, the paper briefly describes the purpose of the path planning of the Ryukyu robot and the working characteristics of the visual processing. It analyzes the problems faced by the design of the autonomous ball-racing robot. Then, based on the rolling window theory, an autonomous mobile robot based on the visual sensor is proposed. Multi-objective path planning algorithm. The algorithm effectively reduces the time for the mobile croquet robot to perform tasks and improves its croquet efficiency.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370908","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.43
Bo Wang, Yan Zhou, Yufeng Bi, Qiangqiang Jing, Qiangmin Zhang, Jie Song
Abstract. Natural risks of expressway remain an important part of its operation risks. However, due to the variety, universality, locality and suddenness of natural risks, the prediction of expressway natural risks is difficult to forecast and control. In this paper, the expressway natural risk loss prediction model is established by the combining method of Chaos theory and Neural network according to the accident percentage data of rainy weather in recent 20 years in Shandong province. The use of this combining method can solve the problem of uncertain risk factors in expressway operation risks and can provide for decision-making reference and data support for expressway management and operation departments.
{"title":"Prediction Model of Expressway Natural Risk Loss","authors":"Bo Wang, Yan Zhou, Yufeng Bi, Qiangqiang Jing, Qiangmin Zhang, Jie Song","doi":"10.2991/ICMEIT-19.2019.43","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.43","url":null,"abstract":"Abstract. Natural risks of expressway remain an important part of its operation risks. However, due to the variety, universality, locality and suddenness of natural risks, the prediction of expressway natural risks is difficult to forecast and control. In this paper, the expressway natural risk loss prediction model is established by the combining method of Chaos theory and Neural network according to the accident percentage data of rainy weather in recent 20 years in Shandong province. The use of this combining method can solve the problem of uncertain risk factors in expressway operation risks and can provide for decision-making reference and data support for expressway management and operation departments.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127653994","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.98
Zhangqian Zhu, Xiaomeng Wang, Shi Qiu
Rank aggregation is the process of aggregating multiple base rankers into a single but more comprehensive ranker, which plays an important role in many domains such as recommender system, meta-search, database, genomics, etc. Works related to the comparison of rank aggregation methods all don’t have a suitable and general data generation mechanism to produce data with various characteristics and lack a more reasonable and effective algorithm evaluation performance index. Therefore, this paper presents a general data generation mechanism based on Mallows model to produce synthetic controllable datasets, uses generalized Kendall rank correlation coefficient and rank-biased overlap to evaluate and compare the performance of two kinds of methods under different settings. Besides, we also consider the comparison between indices and the impact of data characteristics on the algorithms. This paper may be helpful to researchers and decision-makers from multiple domains.
{"title":"Comparing Rank Aggregation Methods based on Mallows Model","authors":"Zhangqian Zhu, Xiaomeng Wang, Shi Qiu","doi":"10.2991/ICMEIT-19.2019.98","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.98","url":null,"abstract":"Rank aggregation is the process of aggregating multiple base rankers into a single but more comprehensive ranker, which plays an important role in many domains such as recommender system, meta-search, database, genomics, etc. Works related to the comparison of rank aggregation methods all don’t have a suitable and general data generation mechanism to produce data with various characteristics and lack a more reasonable and effective algorithm evaluation performance index. Therefore, this paper presents a general data generation mechanism based on Mallows model to produce synthetic controllable datasets, uses generalized Kendall rank correlation coefficient and rank-biased overlap to evaluate and compare the performance of two kinds of methods under different settings. Besides, we also consider the comparison between indices and the impact of data characteristics on the algorithms. This paper may be helpful to researchers and decision-makers from multiple domains.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116800629","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.77
Zehua Zhang, Jiahao Ye, Shuoya Cheng
In recent years, the number of motor vehicles in China has grown rapidly, and the contradiction between supply and demand of vehicles and roads has become more apparent. The problem of urban traffic congestion has become increasingly prominent, and the mechanism of congestion resolution has emerged. At present, there are still many shortcomings in China's traffic congestion control system. The phenomenon of urban road congestion is still widespread. The existing traffic control system cannot meet the complicated traffic network and cannot alleviate the deterioration of traffic conditions. This paper proposes a multi-agent traffic control system, which aims to control the green-signal and red-signal ratio of traffic flow at multiple adjacent intersections in the traffic network, thereby improving the driving ability of the traffic flow. This paper starts from the traffic control network and uses a single agent as the unit. Through multi-agent technology, the information between multiple agents at each intersection can be circulated, and each agent can quickly respond and automatically adapt to changes in traffic information. A genetic algorithm is used to establish a distributed urban traffic control system that can be continuously optimized. It is hoped that through the research in this paper, the problem of urban road traffic congestion deterioration can be effectively solved, thereby improving the vehicle traffic capacity and the efficiency of social activities.
{"title":"Research on Traffic Congestion Resolution Mechanism based on Genetic Algorithm and Multi-Agent","authors":"Zehua Zhang, Jiahao Ye, Shuoya Cheng","doi":"10.2991/ICMEIT-19.2019.77","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.77","url":null,"abstract":"In recent years, the number of motor vehicles in China has grown rapidly, and the contradiction between supply and demand of vehicles and roads has become more apparent. The problem of urban traffic congestion has become increasingly prominent, and the mechanism of congestion resolution has emerged. At present, there are still many shortcomings in China's traffic congestion control system. The phenomenon of urban road congestion is still widespread. The existing traffic control system cannot meet the complicated traffic network and cannot alleviate the deterioration of traffic conditions. This paper proposes a multi-agent traffic control system, which aims to control the green-signal and red-signal ratio of traffic flow at multiple adjacent intersections in the traffic network, thereby improving the driving ability of the traffic flow. This paper starts from the traffic control network and uses a single agent as the unit. Through multi-agent technology, the information between multiple agents at each intersection can be circulated, and each agent can quickly respond and automatically adapt to changes in traffic information. A genetic algorithm is used to establish a distributed urban traffic control system that can be continuously optimized. It is hoped that through the research in this paper, the problem of urban road traffic congestion deterioration can be effectively solved, thereby improving the vehicle traffic capacity and the efficiency of social activities.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114449585","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 : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.128
M. Su, Xiaojun Deng
In recent years, high-speed rail transport and air transport have developed rapidly at home and abroad, and the competition between railway transport and air transport is becoming increasingly fierce, but there is also room for cooperation. Overseas Heathrow Airport, Skip Airport, Charles de Gaulle Airport, Frankfurt Airport before and after the provision of air rail transport services, which have an impact on the domestic airport cities. This paper makes a comparative analysis of the air-to-rail intermodal transport in the main airport cities at home and abroad, and obtains the following conclusions: saving the transfer time, shortening the distance between the air rail hubs, and vigorously developing the air rail transport by goods. Introduction of private capital investment in the construction of air-rail combined transport facilities and other five aspects of enlightenment.
{"title":"The Experience of Air-Rail Transport in Airports at Home and Abroad and Its Enlightenment to Guangzhou","authors":"M. Su, Xiaojun Deng","doi":"10.2991/ICMEIT-19.2019.128","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.128","url":null,"abstract":"In recent years, high-speed rail transport and air transport have developed rapidly at home and abroad, and the competition between railway transport and air transport is becoming increasingly fierce, but there is also room for cooperation. Overseas Heathrow Airport, Skip Airport, Charles de Gaulle Airport, Frankfurt Airport before and after the provision of air rail transport services, which have an impact on the domestic airport cities. This paper makes a comparative analysis of the air-to-rail intermodal transport in the main airport cities at home and abroad, and obtains the following conclusions: saving the transfer time, shortening the distance between the air rail hubs, and vigorously developing the air rail transport by goods. Introduction of private capital investment in the construction of air-rail combined transport facilities and other five aspects of enlightenment.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512841","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：