{"title":"Monitoring of weather radar digital products based on pattern recognition method","authors":"Xiangwen Zuo, Jianhui Xiao, Cuina Li, Y. Wang","doi":"10.1117/12.2671215","DOIUrl":"https://doi.org/10.1117/12.2671215","url":null,"abstract":"After the construction and development of weather radar detection network in recent decades, hundreds of new generation weather radar detection network have been applied in practice. From the perspective of R&D and application of weather radar digital products, under the influence of radar hardware quality, electromagnetic interference and other factors, there will be many abnormal images in weather radar image products, which will directly follow the weather forecast results, so meteorological business must combine intelligent algorithms to solve these problems. In this paper, an application algorithm for automatic detection of weather radar abnormal images is proposed, which includes four parts: image preprocessing, edge detection, feature extraction and classifier based on artificial neural network. The final experimental results show that this method can effectively solve the problem of abnormal image observation and inspection, and can ensure the efficiency and quality of practical application.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116938106","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}
{"title":"Research on remote sensing recognition algorithm of transmission line target based on deep learning","authors":"Ruijin Jiang, Yinghui Zhang, Fengqian Lou, Rui Li, Xiaoxian Tang, Yazhou Li","doi":"10.1117/12.2670340","DOIUrl":"https://doi.org/10.1117/12.2670340","url":null,"abstract":"In the innovation and development of artificial intelligence technology, the inspection of uav circuit components with deep learning algorithm as the core has become the main content of social technology discussion. It can realize the classification detection effect through training on the basis of collecting a large number of transmission line images. Due to the differences in the collected image information, the relative pixels of various objects are small, and the actual semantic information is not much, it is not good to detect and analyze the typical components of transmission lines only by using the traditional convolutional neural network. In this paper, a transmission line detection method based on YOLOv3 algorithm of Res2Net residual structure is proposed based on the understanding of deep learning and transmission line detection status. The final practice results show that this method can not only monitor the working status of transmission lines in real time, but also further improve the intelligent level of transmission line inspection, which meets the requirements of transmission line construction and management in the new era.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027507","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}
{"title":"Big data feature selection method based on genetic algorithm optimization","authors":"Xiangchao Wang","doi":"10.1117/12.2671579","DOIUrl":"https://doi.org/10.1117/12.2671579","url":null,"abstract":"In the preprocessing of big data sets, feature selection, as one of the key methods, can ensure the high efficiency and accuracy of the final analysis and processing results on the basis of accurately mastering the data analysis content. Nowadays, research scholars in the field of study each big data feature selection method, on the basis of genetic algorithm is put forward to theory as the core technology, need comprehensive assessment on each dimension characteristics, combined with the feature of all in the same kind of nearest neighbor and heterogeneous nearest neighbor differences in scientific adjustment of weight values, according to the weight value in analyzing the search of genetic algorithm, Finally, the selection of big data features is efficient and accurate. This paper takes text classification feature selection as an example, and the final experimental results prove that it can ensure the effectiveness and scientificity of feature classification.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115304196","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}
{"title":"Key points of knowledge graph construction technology for fault analysis","authors":"Junqin Shi, Feng Chen","doi":"10.1117/12.2670416","DOIUrl":"https://doi.org/10.1117/12.2670416","url":null,"abstract":"In the context of the new era, with the continuous development of social economy and information technology, the software and hardware coupling relationship of information system becomes more and more complex, and more and more information is stored in the market, which makes the information system fault more likely to occur and difficult to locate. According to this problem, the knowledge graph construction technology is applied to the information system construction, and the knowledge graph construction technology oriented to fault analysis is proposed, which can not only store and manage large quantities of data information, but also can dig the data rules deeply. Therefore, based on the knowledge graph construction technology, this paper explores the key points of knowledge graph construction technology for fault analysis based on the construction and application of power transmission information system. The final experimental results prove that the knowledge graph and construction technology can more intuitively show the association between faults and early warning, and accurately locate system faults according to the artificial intelligence algorithm, providing data basis for relevant departments.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128723829","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}
{"title":"The application of artificial intelligence technology in the field of mechanical and electronic engineering reflects","authors":"Jiaheng Hu","doi":"10.1117/12.2671679","DOIUrl":"https://doi.org/10.1117/12.2671679","url":null,"abstract":"In the social economic sustained growth, our technology manufacturing industry has been a rapid development, the practice of machinery manufacturing level has been improved, which has made a great contribution to the economic development of our country, and mastered more valuable data theory technology in the practice of inquiry. Especially after entering the background of big data era, the field of mechanical and electronic engineering in China began to develop toward intelligent in practice, and the overall degree of automation and production efficiency have been significantly improved. In recent years, in order to improve the competitiveness of our production, countries have given great attention to the development of mechanical and electronic technology. As a concrete manifestation of scientific and technological progress, artificial intelligence is a successful attempt of multi-disciplinary integration and development, while mechatronics is the transformation of traditional energy into information connection. Therefore, on the basis of understanding the concepts of artificial intelligence and mechanical electronic engineering and according to the development trend of the field of mechanical electronic engineering in recent years, this paper deeply discusses how to reasonably use artificial intelligence technology and improve the comprehensive level of our machinery industry.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287968","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}
{"title":"Design of e-government platform based on cloud computing in the era of big data","authors":"Jun Chen","doi":"10.1117/12.2670318","DOIUrl":"https://doi.org/10.1117/12.2670318","url":null,"abstract":"The governments at various levels shall conduct e-commerce activities, can produce large quantities of government affairs information and citizen privacy information such as content, due to the information security requirement is higher, so in order to avoid illegal access and information leakage, under the background in the era of big data, based on the concept of cloud computing technology research scholars e-commerce platform design system is presented. In implementing e-government service, cloud computing platform is bound to face large data processing, storage and sharing of the multipolar localized problem, so the research scholars in the construction of a cloud computing platform at the same time, according to the future demand for e-government service, strengthening the construction of e-government security platform model, based on the order from e-government security requirements. Therefore, on the basis of understanding the application status of cloud computing technology in the era of big data, this paper explores how to build an e-commerce platform with cloud computing as the core according to the current situation of e-government services. The final experimental results show that although the security problems of e-commerce are becoming more and more obvious, the reasonable use of emerging cloud computing technology can guarantee the security of e-government from the foundation, and relevant research topics have practical significance for the development of technology.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129193285","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}
{"title":"Operation reliability analysis of low-voltage collection reading system based on LoRa technology","authors":"Yiqun Wang, Zhi Zhang, Yuejia Wu, X. Ou, Tianqiang Dong, H. Sun, Yuan Xu","doi":"10.1117/12.2670479","DOIUrl":"https://doi.org/10.1117/12.2670479","url":null,"abstract":"The integration of low-voltage data collection system is relatively high, and there are some problems such as long distance between nodes. Therefore, while testing the operation reliability of the system, it is often difficult to analyze and the accuracy is low because of power consumption. Based on that, a reliability analysis method for low-voltage centralized reading system based on LoRa technology is proposed in this paper. Under LoRa framework protocol, the evaluation index of system reliability is defined, and the running state of the system is determined by calculating the state transition rate, the stationary state probability and the instantaneous state of the components. With this basis, the load carrying capacity of each node and the risk of voltage collapse are calculated respectively. Through setting up control group and experimental group to carry out detailed empirical analyses, the reliability analysis results of the system are obtained. Through comparison, it is found that the average analysis accuracy of the system operation reliability analysis method designed is 25% higher than that of the traditional method.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752235","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}
{"title":"Research and application of simulation technology in table tennis backhand scrubbing","authors":"Xu Shuping, Yang jingrui, Wu Xiaoyang, Bao Minmin","doi":"10.1117/12.2669475","DOIUrl":"https://doi.org/10.1117/12.2669475","url":null,"abstract":"With the increasing attention paid to people's physical health, more people have stepped out of the house and begun to play a variety of sports, of which table tennis is especially popular. However, table tennis is highly technical, and it is difficult for amateurs to master the technology in table tennis. Backhand rubbing is more complex, but combining simulation with the sport can give amateurs a better grasp of the sport. At the same time, with the development of science and technology, more and more people pay attention to online communication and learning, WeChat Mini Program reflects a considerable advantage, which occupies a fairly small amount of memory and is also very convenient to open, Breaks down the limits of time and space. This article mainly explores the simulation animation construction of the backhand rubbing sport of table tennis and the construction of a platform for people to learn and communicate, hoping to help people improve their table tennis skills.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125886911","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}
{"title":"Research on regional fiscal expenditure budget management based on KNN algorithm","authors":"Jianing Liu","doi":"10.1117/12.2671585","DOIUrl":"https://doi.org/10.1117/12.2671585","url":null,"abstract":"In the social and economic innovation and development, regional financial expenditure contradiction is becoming more and more significant, the traditional sense of the financial budget system has been affected, how to scientifically save financial resources, improve the application efficiency between regions, has become the focus of attention of government departments and social residents. In the study of regional financial expenditure budget management, China applied the western concept and basic methods of performance budget management to budget management, and built a budget performance management model with Chinese characteristics, which has been reasonably applied throughout the country. Therefore, on the basis of understanding the research status of regional financial expenditure budget management, this paper deeply discusses the KNN algorithm according to the basic concept of budget performance management, and constructs the regional financial expenditure budget management with the KNN algorithm as the core. From the perspective of practical application, the new management mode is more in line with the requirements of regional financial expenditure budget management.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083016","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}
{"title":"Obstacle avoidance flight control method of UAV formation based on neural network adaptive PID","authors":"Yunhong Yang, Xingzhong Xiong","doi":"10.1117/12.2671734","DOIUrl":"https://doi.org/10.1117/12.2671734","url":null,"abstract":"According to the analysis of the research results of UAV formation must-rise path planning and intelligent control technology in recent years, scholars around the world began to use artificial intelligence technology theory for optimization and innovation, put forward a variety of scientific research and exploration topics, and achieved excellent research results. In this paper, based on the understanding of neural network adaptive PID and UAV cluster track planning, according to the accumulated experience of scientific research and technology achievements in recent years, in-depth discussion of the UAV formation obstacle avoidance flight control method based on neural network adaptive PID algorithm. The final experimental results show that the neural network adaptive PID algorithm can effectively control the UAV formation and truly realize the basic functions.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709590","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}