Data mining technology is one of the current research hotspots in the field of database and artificial intelligence. From the massive amount of data information, practical information that is easy to understand, rich, hidden, potentially effective, and unknown can be easily extracted. It combines the theories of database management technology, pattern recognition technology, artificial intelligence, machine learning, statistics and many other disciplines to form new technical methods. This article aims to study the construction of a BIM engineering information management platform based on data mining technology. Based on the analysis of data mining methods and the characteristics of BIM, the BIM engineering information management platform is designed and implemented, and finally the platform is tested. The test results show that when the amount of data is large, the speedup ratio is positively correlated with the number of nodes in a certain proportion. As the number of nodes increases, the ratio remains almost unchanged. This shows that as the number of nodes increases, the Hadoop cluster is significantly more efficient than a stand-alone machine. It is also relatively stable.
{"title":"Construction of BIM Engineering Information Management Platform Based on Data Mining Technology","authors":"B. Xu","doi":"10.1145/3510858.3510960","DOIUrl":"https://doi.org/10.1145/3510858.3510960","url":null,"abstract":"Data mining technology is one of the current research hotspots in the field of database and artificial intelligence. From the massive amount of data information, practical information that is easy to understand, rich, hidden, potentially effective, and unknown can be easily extracted. It combines the theories of database management technology, pattern recognition technology, artificial intelligence, machine learning, statistics and many other disciplines to form new technical methods. This article aims to study the construction of a BIM engineering information management platform based on data mining technology. Based on the analysis of data mining methods and the characteristics of BIM, the BIM engineering information management platform is designed and implemented, and finally the platform is tested. The test results show that when the amount of data is large, the speedup ratio is positively correlated with the number of nodes in a certain proportion. As the number of nodes increases, the ratio remains almost unchanged. This shows that as the number of nodes increases, the Hadoop cluster is significantly more efficient than a stand-alone machine. It is also relatively stable.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73771033","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}
Machine translation system, also known as automatic translation system, generally refers to a relatively complex process of automatically by computer, and generally refers to the translation of sentences or full texts in this process. At present, systems are generally divided into two categories: one is statistical-based machine translation systems, and the other is case-based machine translation systems. Corpus-based machine translation system involves many disciplines, among which linguistics, mathematics and computer science are the most basic. Multi-disciplinary cooperation constitutes a rapidly developing machine translation system based on corpus. The rapid development of machine translation system has accelerated the cultural, economic and other exchanges between different countries. Looking at the current development situation, we can see that the rapid development of corpus linguistics and computer linguistics has greatly improved the performance of today's machine translation system.
{"title":"Intelligent English automatic translation system based on computer corpus","authors":"N. Liu","doi":"10.1145/3510858.3511425","DOIUrl":"https://doi.org/10.1145/3510858.3511425","url":null,"abstract":"Machine translation system, also known as automatic translation system, generally refers to a relatively complex process of automatically by computer, and generally refers to the translation of sentences or full texts in this process. At present, systems are generally divided into two categories: one is statistical-based machine translation systems, and the other is case-based machine translation systems. Corpus-based machine translation system involves many disciplines, among which linguistics, mathematics and computer science are the most basic. Multi-disciplinary cooperation constitutes a rapidly developing machine translation system based on corpus. The rapid development of machine translation system has accelerated the cultural, economic and other exchanges between different countries. Looking at the current development situation, we can see that the rapid development of corpus linguistics and computer linguistics has greatly improved the performance of today's machine translation system.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74303386","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}
Q. Wei, Congyi Wang, C. Zhou, Cheng Chen, Xucheng Gao, Zhengzhu Sun
With the advancement of technology, more and more advanced exploration and surveying and mapping technologies are used in the path selection of power lines. In the past, the site selection of the cableway for the transmission line infrastructure was done by experienced surveying and mapping personnel, conducting site surveys, and then completing the final site selection work. This design method cannot verify the timing and accuracy of data geographic information. In addition, manual site selection planning cannot take into account many types and large amounts of geospatial information, and it is difficult to ensure the economic balance of planning results. Therefore, this article combines high-precision laser point cloud technology to accurately locate the location of the infrastructure ropeway, realizes the collection and processing of geographic information through modern information technology, and uses the powerful computing power of the computer to realize the automatic selection of the transmission line path, which is the future transmission line the inevitable trend of design development.
{"title":"Application of High-precision Laser Point Cloud in the Site Selection of the Cableway for the Infrastructure Construction of Intelligent Transmission Lines","authors":"Q. Wei, Congyi Wang, C. Zhou, Cheng Chen, Xucheng Gao, Zhengzhu Sun","doi":"10.1145/3510858.3510973","DOIUrl":"https://doi.org/10.1145/3510858.3510973","url":null,"abstract":"With the advancement of technology, more and more advanced exploration and surveying and mapping technologies are used in the path selection of power lines. In the past, the site selection of the cableway for the transmission line infrastructure was done by experienced surveying and mapping personnel, conducting site surveys, and then completing the final site selection work. This design method cannot verify the timing and accuracy of data geographic information. In addition, manual site selection planning cannot take into account many types and large amounts of geospatial information, and it is difficult to ensure the economic balance of planning results. Therefore, this article combines high-precision laser point cloud technology to accurately locate the location of the infrastructure ropeway, realizes the collection and processing of geographic information through modern information technology, and uses the powerful computing power of the computer to realize the automatic selection of the transmission line path, which is the future transmission line the inevitable trend of design development.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75663019","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 laboratory safety management system in Universities is based on the Internet of Things technology, which manages the equipment in the laboratory through the Internet of Things technology. In view of the existing problems in the safety management of university laboratories and the use of open sharing, this paper puts forward the use of various technologies based on the Internet of Things to create a smart IoT laboratory system. The hardware and software of the system are designed. The hardware consists of three sections: data acquisition, data processing and data output. The construction mode of each section is systematically studied. The collected information is transmitted to the management host, thus realizing the integrated management and control of the laboratory monitoring system, access control system, alarm system, temperature and humidity, and carrying out unified safety planning and design for the laboratory, making the laboratory management safer, more convenient and more scientific. The system is easy to deploy, does not need to reform the laboratory, has low cost and timely alarm, and has strong practicability.
{"title":"Design and Implementation of Laboratory Safety Management System in Universities Based on Internet of Things Technology","authors":"T. Deng","doi":"10.1145/3510858.3511340","DOIUrl":"https://doi.org/10.1145/3510858.3511340","url":null,"abstract":"The laboratory safety management system in Universities is based on the Internet of Things technology, which manages the equipment in the laboratory through the Internet of Things technology. In view of the existing problems in the safety management of university laboratories and the use of open sharing, this paper puts forward the use of various technologies based on the Internet of Things to create a smart IoT laboratory system. The hardware and software of the system are designed. The hardware consists of three sections: data acquisition, data processing and data output. The construction mode of each section is systematically studied. The collected information is transmitted to the management host, thus realizing the integrated management and control of the laboratory monitoring system, access control system, alarm system, temperature and humidity, and carrying out unified safety planning and design for the laboratory, making the laboratory management safer, more convenient and more scientific. The system is easy to deploy, does not need to reform the laboratory, has low cost and timely alarm, and has strong practicability.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75762922","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}
Supplier selection is an important part of managing suppliers. With the rising labor cost in China, the competitive advantage of Chinese foreign trade companies is declining, and choosing the right supplier is of great significance to the company. This article aims to study the international trade target supplier evaluation system based on the CART algorithm. Based on the analysis of the CART algorithm, the method of supplier selection, the establishment of the supplier evaluation index system and the system performance requirements, the international trade target supplier evaluation system designed. In order to prove the effectiveness of the system, this paper uses the supply data of 5 suppliers as the test data to calculate the evaluation index scores of these 5 suppliers. The calculation results show that the system can accurately calculate the evaluation of the suppliers. As a result, it can provide effective methods for companies to select suppliers.
{"title":"Evaluation System of International Trade Target Supplier Based on CART Algorithm","authors":"Zhonglin Chen","doi":"10.1145/3510858.3510967","DOIUrl":"https://doi.org/10.1145/3510858.3510967","url":null,"abstract":"Supplier selection is an important part of managing suppliers. With the rising labor cost in China, the competitive advantage of Chinese foreign trade companies is declining, and choosing the right supplier is of great significance to the company. This article aims to study the international trade target supplier evaluation system based on the CART algorithm. Based on the analysis of the CART algorithm, the method of supplier selection, the establishment of the supplier evaluation index system and the system performance requirements, the international trade target supplier evaluation system designed. In order to prove the effectiveness of the system, this paper uses the supply data of 5 suppliers as the test data to calculate the evaluation index scores of these 5 suppliers. The calculation results show that the system can accurately calculate the evaluation of the suppliers. As a result, it can provide effective methods for companies to select suppliers.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"222 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74716258","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 rapid development of automation and information technology, die enterprises should also change from traditional processing to automatic processing. This change puts forward new requirements to programming technology (PLC). This paper discusses automatic die processing programming technology (ISP). Die automation processing technology has been widely used in foreign advanced automobile panel die enterprises. Vigorously promoting die automation processing technology is of great significance to the development of domestic auto die enterprises. As the computer vision technology is of great significance to improve the processing efficiency of Die automation, during the research on the monitoring method of die processing process based on computer vision technology, the specific steps of computer vision technology in metal processing inspection are mainly studied, so that the processing process is closer to the needs of modern production. At the same time, the numerical control(NC) machining process was optimized to a certain extent, which improved the machining efficiency and safety, and greatly improved the machining accuracy.
{"title":"Research on die automatic machining programming technology based on computer vision","authors":"Xiangling Song, Bing Liu","doi":"10.1145/3510858.3511420","DOIUrl":"https://doi.org/10.1145/3510858.3511420","url":null,"abstract":"With the rapid development of automation and information technology, die enterprises should also change from traditional processing to automatic processing. This change puts forward new requirements to programming technology (PLC). This paper discusses automatic die processing programming technology (ISP). Die automation processing technology has been widely used in foreign advanced automobile panel die enterprises. Vigorously promoting die automation processing technology is of great significance to the development of domestic auto die enterprises. As the computer vision technology is of great significance to improve the processing efficiency of Die automation, during the research on the monitoring method of die processing process based on computer vision technology, the specific steps of computer vision technology in metal processing inspection are mainly studied, so that the processing process is closer to the needs of modern production. At the same time, the numerical control(NC) machining process was optimized to a certain extent, which improved the machining efficiency and safety, and greatly improved the machining accuracy.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74984049","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 continuous improvement of tax information level of tax authorities, tax authorities have formed a large number of tax business management data in their daily business. However, at present, only a simple historical query is provided for these historical data, which is far from the expected advanced applications such as analysis and prediction and decision support. This paper designs and implements a set of early warning system of tax collection and management indicators by using database technology, constructs indicators according to taxpayers' declaration data, and uses data warehouse technology, attribute-oriented summary method and association rule algorithm for data mining to provide data support for tax early warning. Setting up the corresponding early warning value system can reduce the risk of tax evasion, improve the quality of tax monitoring, and then improve the efficiency of law enforcement and management level.
{"title":"Design and Implementation of Tax Collection and Management Index Early Warning System Based on Data Mining","authors":"Jie Mao","doi":"10.1145/3510858.3511348","DOIUrl":"https://doi.org/10.1145/3510858.3511348","url":null,"abstract":"With the continuous improvement of tax information level of tax authorities, tax authorities have formed a large number of tax business management data in their daily business. However, at present, only a simple historical query is provided for these historical data, which is far from the expected advanced applications such as analysis and prediction and decision support. This paper designs and implements a set of early warning system of tax collection and management indicators by using database technology, constructs indicators according to taxpayers' declaration data, and uses data warehouse technology, attribute-oriented summary method and association rule algorithm for data mining to provide data support for tax early warning. Setting up the corresponding early warning value system can reduce the risk of tax evasion, improve the quality of tax monitoring, and then improve the efficiency of law enforcement and management level.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77390340","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 rapid economic growth, financial and accounting conditions have become more and more important. This is a summary of the historical process of accounting career development. Practice shows that economic development is inseparable from the update and reform of accounting work, and the content of accounting also needs to keep pace with the times and constantly improve, which requires more knowledge in the classroom. Neural network technology is mainly applied to computer networks to simulate human thinking to solve problems. When digital and intelligent accounting learning combined with neural network, the efficiency of financial learning can be greatly improved. This article uses a combination of theoretical research and empirical research, based on the views and research content of some scholars over the past few years, introduces the basic framework and research content of this article, and then systematically analyzes the data collected through the research. Analyze the data of the intelligent learning of digital accounting, and summarize the relevant characteristics of the neural network plan. This article focuses on exploring the personalized learning mode in the environment of smart learning in finance and accounting to give full play to the effects of smart learning. The final result of the research shows that compared with the traditional teaching model, the test scores of the experimental class of network intelligent learning are 76 points higher than the 70 points of the control class. The intelligent learning environment improves the professional knowledge and knowledge of accounting students. Practical ability is very helpful.
{"title":"Intelligent Learning of Digital Finance and Accounting Based on Neural Network Technology","authors":"Yanhong Wu","doi":"10.1145/3510858.3510879","DOIUrl":"https://doi.org/10.1145/3510858.3510879","url":null,"abstract":"With the rapid economic growth, financial and accounting conditions have become more and more important. This is a summary of the historical process of accounting career development. Practice shows that economic development is inseparable from the update and reform of accounting work, and the content of accounting also needs to keep pace with the times and constantly improve, which requires more knowledge in the classroom. Neural network technology is mainly applied to computer networks to simulate human thinking to solve problems. When digital and intelligent accounting learning combined with neural network, the efficiency of financial learning can be greatly improved. This article uses a combination of theoretical research and empirical research, based on the views and research content of some scholars over the past few years, introduces the basic framework and research content of this article, and then systematically analyzes the data collected through the research. Analyze the data of the intelligent learning of digital accounting, and summarize the relevant characteristics of the neural network plan. This article focuses on exploring the personalized learning mode in the environment of smart learning in finance and accounting to give full play to the effects of smart learning. The final result of the research shows that compared with the traditional teaching model, the test scores of the experimental class of network intelligent learning are 76 points higher than the 70 points of the control class. The intelligent learning environment improves the professional knowledge and knowledge of accounting students. Practical ability is very helpful.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80044300","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 acceleration of the process of economic globalization, the level of scientific and technological creation has replaced the traditional artificial level and has become an important factor in measuring the overall national strength of a country. The transformation of international scientific and TA solves the problem of how to develop and apply from written theory to practice. There are problems with the conversion efficiency of scientific and technological achievements, the overall concept of scientific and technological innovation is lagging behind and the overall level of transformation of scientific and technological achievements is not high. This paper is based on the BP neural network to realize the construction of the international scientific and TA transfer information service platform. The BP algorithm is an algorithm in the artificial neural network. This paper outlines the relevant characteristics and applications of the BP neural network, and conducts the transfer information service platform experimental research. Through the relevant characteristics of the BP neural network, the improvement of the BP algorithm, and the four operating data of the transfer information service platform information display, information management, and information retrieval, the information display and information retrieval of the transfer information service platform are designed. According to experimental research, the improved BP neural network has good operating data for the international scientific and TA transfer information service platform.
{"title":"Construction of Information Service Platform for International Science and Technology Achievement Transfer Based on BP Neural Network","authors":"An Qin, Xingfeng Liu","doi":"10.1145/3510858.3510870","DOIUrl":"https://doi.org/10.1145/3510858.3510870","url":null,"abstract":"With the acceleration of the process of economic globalization, the level of scientific and technological creation has replaced the traditional artificial level and has become an important factor in measuring the overall national strength of a country. The transformation of international scientific and TA solves the problem of how to develop and apply from written theory to practice. There are problems with the conversion efficiency of scientific and technological achievements, the overall concept of scientific and technological innovation is lagging behind and the overall level of transformation of scientific and technological achievements is not high. This paper is based on the BP neural network to realize the construction of the international scientific and TA transfer information service platform. The BP algorithm is an algorithm in the artificial neural network. This paper outlines the relevant characteristics and applications of the BP neural network, and conducts the transfer information service platform experimental research. Through the relevant characteristics of the BP neural network, the improvement of the BP algorithm, and the four operating data of the transfer information service platform information display, information management, and information retrieval, the information display and information retrieval of the transfer information service platform are designed. According to experimental research, the improved BP neural network has good operating data for the international scientific and TA transfer information service platform.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79142387","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 continuous improvement of people's living standards, the demand for high quality, high efficiency and high-quality information transmission is becoming stronger and stronger. Especially with the rapid development of Internet technology, traditional media forms can no longer meet the current social communication needs. Under the background of the new era, new media methods such as networked broadcasting and multimedia also came into being and have been rapidly promoted and used. Therefore, based on neural network algorithm, this paper studies AI broadcasting host expression technology. Firstly, this paper expounds the concept of AI broadcasting, and then expounds the impact of AI on future broadcasting hosts and the problems of existing AI broadcasting. Finally, according to the optimization of neural network algorithm, this paper tests all aspects of AI broadcast host expression technology. The test results show that after the optimization of neural network algorithm, the average value of emotional expression of AI broadcast host is relatively stable in expression technology, and the audio output is also stable. At the same time, there is a sense of law in speech speed and speech rhythm, but it will still be unstable.
{"title":"AI Broadcast Host Expression Technology Based on Neural Network Algorithm","authors":"Wei Zhou","doi":"10.1145/3510858.3510968","DOIUrl":"https://doi.org/10.1145/3510858.3510968","url":null,"abstract":"With the continuous improvement of people's living standards, the demand for high quality, high efficiency and high-quality information transmission is becoming stronger and stronger. Especially with the rapid development of Internet technology, traditional media forms can no longer meet the current social communication needs. Under the background of the new era, new media methods such as networked broadcasting and multimedia also came into being and have been rapidly promoted and used. Therefore, based on neural network algorithm, this paper studies AI broadcasting host expression technology. Firstly, this paper expounds the concept of AI broadcasting, and then expounds the impact of AI on future broadcasting hosts and the problems of existing AI broadcasting. Finally, according to the optimization of neural network algorithm, this paper tests all aspects of AI broadcast host expression technology. The test results show that after the optimization of neural network algorithm, the average value of emotional expression of AI broadcast host is relatively stable in expression technology, and the audio output is also stable. At the same time, there is a sense of law in speech speed and speech rhythm, but it will still be unstable.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85586090","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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