A corpus is an electronic collection of texts representing a variant or text category of a language, according to certain sampling criteria. A parallel corpus is made up of the original text and its parallel counterpart in translation, and is most closely related to translation teaching and practice, providing a wealth of teaching material and a convenient means of translation. Business English writing is increasingly important as a language skill and a communicative skill. In order to give full play to the role of information technology, this paper constructs a parallel corpus of business English writing and proposes strategies to improve business English writing skills. The corpus is built on the SSH2 architecture, using IntelliJ IDEA Ultimate integrated development tool, Oracle as the database management system, Python and Java for programming, and Apache Tomcat as the web server, reflecting the advancement of the art technology.
语料库是根据一定的抽样标准，代表一种语言的变体或文本类别的文本的电子集合。平行语料库是由翻译中的原文和平行文本组成的语料库，与翻译教学和实践的关系最为密切，为翻译提供了丰富的教材和便利的翻译手段。商务英语写作作为一种语言技能和交际技能越来越重要。为了充分发挥信息技术的作用，本文构建了一个商务英语写作平行语料库，并提出了提高商务英语写作技能的策略。语料库基于SSH2架构，采用IntelliJ IDEA Ultimate集成开发工具，数据库管理系统采用Oracle，编程采用Python和Java, web服务器采用Apache Tomcat，体现了艺术技术的先进性。
{"title":"Construction of Business English Writing Corpus Based on Data Management System","authors":"Dongmei Xu","doi":"10.1145/3510858.3510997","DOIUrl":"https://doi.org/10.1145/3510858.3510997","url":null,"abstract":"A corpus is an electronic collection of texts representing a variant or text category of a language, according to certain sampling criteria. A parallel corpus is made up of the original text and its parallel counterpart in translation, and is most closely related to translation teaching and practice, providing a wealth of teaching material and a convenient means of translation. Business English writing is increasingly important as a language skill and a communicative skill. In order to give full play to the role of information technology, this paper constructs a parallel corpus of business English writing and proposes strategies to improve business English writing skills. The corpus is built on the SSH2 architecture, using IntelliJ IDEA Ultimate integrated development tool, Oracle as the database management system, Python and Java for programming, and Apache Tomcat as the web server, reflecting the advancement of the art technology.","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":"77942931","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 deepening of exploration, a new technology: amp; Automatic speech recognition. Human computer interaction can be seen everywhere in people's life. Driven by science and technology, voice interaction, visual interaction and other interaction methods have gradually strengthened the relationship between man and machine. Among them, voice interaction has been widely used in life because of its low requirements, simple implementation and simple hardware facilities. This paper studies the current situation of multilingual human-computer interaction and interactive system, analyzes virtual culture, creative communication and creative ability, and analyzes the competitiveness of cultural and creative industries. The results show that from 2019 to 2021, China's cultural and creative industry is in its infancy, the industry depends on foreign industrial investment, the scale is small, the enterprises are mainly small and medium-sized enterprises, the vitality is not strong, the overall level of the industry is not high and immature, the anti risk ability is low, vulnerable to impact, and the international status and influence are small.
{"title":"Development of Virtual Image Cultural Creativity based on Multilingual Human-computer Interaction","authors":"Bo Wang","doi":"10.1145/3510858.3510899","DOIUrl":"https://doi.org/10.1145/3510858.3510899","url":null,"abstract":"With the deepening of exploration, a new technology: amp; Automatic speech recognition. Human computer interaction can be seen everywhere in people's life. Driven by science and technology, voice interaction, visual interaction and other interaction methods have gradually strengthened the relationship between man and machine. Among them, voice interaction has been widely used in life because of its low requirements, simple implementation and simple hardware facilities. This paper studies the current situation of multilingual human-computer interaction and interactive system, analyzes virtual culture, creative communication and creative ability, and analyzes the competitiveness of cultural and creative industries. The results show that from 2019 to 2021, China's cultural and creative industry is in its infancy, the industry depends on foreign industrial investment, the scale is small, the enterprises are mainly small and medium-sized enterprises, the vitality is not strong, the overall level of the industry is not high and immature, the anti risk ability is low, vulnerable to impact, and the international status and influence are small.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78192598","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}
Since the 21st century, information technology represented by artificial intelligence, big data and the Internet has developed rapidly, and the application of information technology in English education has also increased. However, due to these problems in the current English online teaching system, there is an urgent need to optimize the existing English online teaching system. This article aims to study the optimization design of the college English course network teaching system under the background of artificial intelligence. Based on the analysis of the characteristics of artificial intelligence, the significance of the English course network teaching system and the problems existing in the college English network teaching system, the existing English network teaching system optimized the design, added corresponding modules according to the existing problems, and finally tested its performance. The test results show that the interactive Q&A module of the college English course network teaching system optimized in this article performs well in response time, which basically meets the needs of this article.
{"title":"Optimal Design of College English Course Network Teaching System under the Background of Artificial Intelligence","authors":"Shasha Wang","doi":"10.1145/3510858.3510936","DOIUrl":"https://doi.org/10.1145/3510858.3510936","url":null,"abstract":"Since the 21st century, information technology represented by artificial intelligence, big data and the Internet has developed rapidly, and the application of information technology in English education has also increased. However, due to these problems in the current English online teaching system, there is an urgent need to optimize the existing English online teaching system. This article aims to study the optimization design of the college English course network teaching system under the background of artificial intelligence. Based on the analysis of the characteristics of artificial intelligence, the significance of the English course network teaching system and the problems existing in the college English network teaching system, the existing English network teaching system optimized the design, added corresponding modules according to the existing problems, and finally tested its performance. The test results show that the interactive Q&A module of the college English course network teaching system optimized in this article performs well in response time, which basically meets the needs of this article.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73405296","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 science and technology and the progress of The Times, people’s living standard and quality of life have been continuously improved. How to simplify daily life and improve work efficiency, various embedded devices have been gradually widely used in People’s Daily life. With computer and the rapid development of integrated circuit, embedded devices are also constantly upgrading, framework of smart home is increasing in a dramatic change, people in search of one of the most suitable for home appliances control solutions at the same time, speech recognition technology, then the speech recognition technology is applied to control system.Make people’s life more convenient, faster and safer.In this paper, the speech recognition module is connected with the SCM. The speech recognition module recognizes the corresponding instruction and transmits it to the single chip microcomputer, which controls the corresponding peripheral module. The peripheral modules are combined with the actual home environment to achieve the efficacy of smart home.
{"title":"Research on Embedded Intelligent Home System Based on Speech Recognition Technology","authors":"Huaben Wang","doi":"10.1145/3510858.3511368","DOIUrl":"https://doi.org/10.1145/3510858.3511368","url":null,"abstract":"With the development of science and technology and the progress of The Times, people’s living standard and quality of life have been continuously improved. How to simplify daily life and improve work efficiency, various embedded devices have been gradually widely used in People’s Daily life. With computer and the rapid development of integrated circuit, embedded devices are also constantly upgrading, framework of smart home is increasing in a dramatic change, people in search of one of the most suitable for home appliances control solutions at the same time, speech recognition technology, then the speech recognition technology is applied to control system.Make people’s life more convenient, faster and safer.In this paper, the speech recognition module is connected with the SCM. The speech recognition module recognizes the corresponding instruction and transmits it to the single chip microcomputer, which controls the corresponding peripheral module. The peripheral modules are combined with the actual home environment to achieve the efficacy of smart home.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87486514","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}
From the published papers, most of them still stay in the simulation stage, and few of them apply the improved ant colony algorithm to solve practical problems. With the development of business, some domestic sewage treatment plants are also actively carrying out automation transformation. So that it can give full play to its ability in the fierce market competition and achieve the best economic benefits. Robots have some sensory functions, such as sense of touch, smell and so on, which enable robots to process information of different signals autonomously. Inspired by the ant colony's foraging behavior of finding the shortest path, this paper proposes a simulated evolutionary algorithm artificial ant colony algorithm, which simulates the behavior of ant colony in nature. Ant colony algorithm has been concerned by many experts and scholars, and is being studied by more and more experts and scholars. The algorithm is continuously improved, and the application scope is more and more extensive. It is a bionic optimization algorithm with good development prospects. This paper mainly introduces the basic principle and basic model of ant colony algorithm. Finally, the improvement strategy of ant colony algorithm and the research and design of artificial intelligence training platform are discussed.
{"title":"Research and Design of Artificial Intelligence Training Platform Based on Improved ant Colony Algorithm","authors":"Fen Li","doi":"10.1145/3510858.3511408","DOIUrl":"https://doi.org/10.1145/3510858.3511408","url":null,"abstract":"From the published papers, most of them still stay in the simulation stage, and few of them apply the improved ant colony algorithm to solve practical problems. With the development of business, some domestic sewage treatment plants are also actively carrying out automation transformation. So that it can give full play to its ability in the fierce market competition and achieve the best economic benefits. Robots have some sensory functions, such as sense of touch, smell and so on, which enable robots to process information of different signals autonomously. Inspired by the ant colony's foraging behavior of finding the shortest path, this paper proposes a simulated evolutionary algorithm artificial ant colony algorithm, which simulates the behavior of ant colony in nature. Ant colony algorithm has been concerned by many experts and scholars, and is being studied by more and more experts and scholars. The algorithm is continuously improved, and the application scope is more and more extensive. It is a bionic optimization algorithm with good development prospects. This paper mainly introduces the basic principle and basic model of ant colony algorithm. Finally, the improvement strategy of ant colony algorithm and the research and design of artificial intelligence training platform are discussed.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87645525","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}
Refer to the cultural building electrical fire accident case, a survey of typical building electrical fire prevention and control of cultural building, using the fire risk assessment technology, extracted the cultural building potential electrical fire risk characteristics, through the hierarchical entropy method to calculate weight information of risk characteristics, and application of random forest classification algorithm, build the cultural building electrical fire risk assessment model. This paper evaluates the risk of electrical fire in cultural building from multiple dimensions, which provides necessary theoretical basis and method support for on-site investigation, risk assessment and fire prevention of cultural building.
{"title":"Research on Electrical Fire Risk Assessment Technology of Cultural Building Based on Random Forest Algorithm","authors":"Chao Sun, XiaoBai Li, Rui Guo","doi":"10.1145/3510858.3511382","DOIUrl":"https://doi.org/10.1145/3510858.3511382","url":null,"abstract":"Refer to the cultural building electrical fire accident case, a survey of typical building electrical fire prevention and control of cultural building, using the fire risk assessment technology, extracted the cultural building potential electrical fire risk characteristics, through the hierarchical entropy method to calculate weight information of risk characteristics, and application of random forest classification algorithm, build the cultural building electrical fire risk assessment model. This paper evaluates the risk of electrical fire in cultural building from multiple dimensions, which provides necessary theoretical basis and method support for on-site investigation, risk assessment and fire prevention of cultural building.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88121041","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 the promotion process of new energy vehicles, the endurance of vehicles is an important link that can not be ignored. Due to the limited number of new energy charging stations, replacing batteries in transit will become a new service mode. According to the characteristics of dynamic changes in the demand of new energy vehicles and power stations, a dynamic vehicle scheduling model for battery distribution routing problem of new energy vehicles is established. The adaptive genetic algorithm is constructed by improving the genetic algorithm with adaptive criteria. At the same time, the genetic algorithm is used to cluster the charging and replacing stations in time and space, and the clustering results are applied to the path adjustment, so that the charging and replacing stations can be added to the path where the charging and replacing stations with short time and space are located as much as possible, which can effectively reduce the search range and reach a better solution faster. The algorithm is programmed by MATLAB, and the numerical simulation of the distribution system shows the advantages of new energy vehicles in terms of use cost, which verifies the effectiveness of the model.
{"title":"Research on Algorithm and Mechanism of New Energy Vehicle Battery Distribution Based on Clustering Algorithm","authors":"Qian Wang, Ma Qiu, Wanzhen Wang","doi":"10.1145/3510858.3511356","DOIUrl":"https://doi.org/10.1145/3510858.3511356","url":null,"abstract":"In the promotion process of new energy vehicles, the endurance of vehicles is an important link that can not be ignored. Due to the limited number of new energy charging stations, replacing batteries in transit will become a new service mode. According to the characteristics of dynamic changes in the demand of new energy vehicles and power stations, a dynamic vehicle scheduling model for battery distribution routing problem of new energy vehicles is established. The adaptive genetic algorithm is constructed by improving the genetic algorithm with adaptive criteria. At the same time, the genetic algorithm is used to cluster the charging and replacing stations in time and space, and the clustering results are applied to the path adjustment, so that the charging and replacing stations can be added to the path where the charging and replacing stations with short time and space are located as much as possible, which can effectively reduce the search range and reach a better solution faster. The algorithm is programmed by MATLAB, and the numerical simulation of the distribution system shows the advantages of new energy vehicles in terms of use cost, which verifies the effectiveness of the model.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86480292","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}
All walks of life are generally concerned about the problem of customer churn. This paper deals with the real telecom customer characteristic data and constructs a prediction model based on classification algorithm to predict the customer churn rate. Among the known classification algorithms, XGB algorithm performs better, its accuracy is 79.98%, recall rate is 90.17%, F1 is 84.21%. According to the study, users with the following characteristics are more likely to churn (in descending order of churn rate) : tenure 1-5, use "e-check", TotalCharges is less than 2,281.92, MonthlyCharges is more than 64.76 , with electronic bills.
{"title":"Telecom Customer Churn Prediction Based on Classification Algorithm","authors":"Manqing Zhu, Jieping Liu","doi":"10.1145/3510858.3510945","DOIUrl":"https://doi.org/10.1145/3510858.3510945","url":null,"abstract":"All walks of life are generally concerned about the problem of customer churn. This paper deals with the real telecom customer characteristic data and constructs a prediction model based on classification algorithm to predict the customer churn rate. Among the known classification algorithms, XGB algorithm performs better, its accuracy is 79.98%, recall rate is 90.17%, F1 is 84.21%. According to the study, users with the following characteristics are more likely to churn (in descending order of churn rate) : tenure 1-5, use \"e-check\", TotalCharges is less than 2,281.92, MonthlyCharges is more than 64.76 , with electronic bills.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86077690","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 gradual advancement of internationalization and the popularization of computer networks, the information network era has had a great impact on people's daily lives. The widespread application of computer networks also brings new opportunities and challenges to translation teaching. The practice of computer technology in translation teaching stems from the development of theoretical courses and the improvement of requirements, which makes the use of computer networks in translation teaching more and more. This paper tests the impact of computer network translation teaching on students’ translation ability and finds that under this mode of teaching, students’ word translation level has increased by 20%, phrase translation level has increased by 50%, long sentence translation level and article translation level have increased by 15.28 %, the oral translation level has increased by 30.43%, which proves that the teaching mode can improve the teaching level and improve the quality of teaching.
{"title":"Design of network online translation system based on deep neural network algorithm","authors":"Dandan Liu","doi":"10.1145/3510858.3510983","DOIUrl":"https://doi.org/10.1145/3510858.3510983","url":null,"abstract":"With the gradual advancement of internationalization and the popularization of computer networks, the information network era has had a great impact on people's daily lives. The widespread application of computer networks also brings new opportunities and challenges to translation teaching. The practice of computer technology in translation teaching stems from the development of theoretical courses and the improvement of requirements, which makes the use of computer networks in translation teaching more and more. This paper tests the impact of computer network translation teaching on students’ translation ability and finds that under this mode of teaching, students’ word translation level has increased by 20%, phrase translation level has increased by 50%, long sentence translation level and article translation level have increased by 15.28 %, the oral translation level has increased by 30.43%, which proves that the teaching mode can improve the teaching level and improve the quality of teaching.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"100 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80714253","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 artificial intelligence(AI), more and more people begin to pay attention to the impact of AI on our work and life. At the same time, issues such as corporate financial management systems(FMS) and management and control capabilities have become increasingly prominent, and building a smart corporate FMS has become more and more important. Financial management is also a relatively important part of the entire enterprise management. From the current Telecom enterprise, there are problems in these aspects. The financial management lacks advanced management concepts, and the financial functions cannot reach the overall control level of the enterprise and the financial department. Collaboration with other departments of the enterprise is not in place. And in the current financial work, AI technology also has certain applications, such as AI financial robots, which will handle many repetitive, standardized, and procedural financial tasks more accurately and quickly. This article adopts the questionnaire method and experimental analysis method to analyze and research the construction of Telecom's smart FMS from the perspective of AI, learn about the existing problems in the FMS of the surveyed company, and analyze the interviewee's The attitude of the necessity of a smart FMS. According to the survey results, both M branch company and G branch company have corresponding problems in the FMS. Among them, financial information construction problems and financial accounting system problems account for a large proportion. A total of 30 of the 50 interviewees think it is necessary to build a smart FMS. Therefore, this is also worth arousing deep thinking by Telecom companies, building a smart FMS for enterprises in the field of AI, making full use of the advantages of AI technology, continuously optimizing the allocation of financial resources, and maximizing Telecom's corporate management income. Continuously improve the competitiveness of enterprises.
{"title":"Construction of Telecom's Smart Financial Management System from the Perspective of Artificial Intelligence","authors":"L. Yao","doi":"10.1145/3510858.3510893","DOIUrl":"https://doi.org/10.1145/3510858.3510893","url":null,"abstract":"With the rapid development of artificial intelligence(AI), more and more people begin to pay attention to the impact of AI on our work and life. At the same time, issues such as corporate financial management systems(FMS) and management and control capabilities have become increasingly prominent, and building a smart corporate FMS has become more and more important. Financial management is also a relatively important part of the entire enterprise management. From the current Telecom enterprise, there are problems in these aspects. The financial management lacks advanced management concepts, and the financial functions cannot reach the overall control level of the enterprise and the financial department. Collaboration with other departments of the enterprise is not in place. And in the current financial work, AI technology also has certain applications, such as AI financial robots, which will handle many repetitive, standardized, and procedural financial tasks more accurately and quickly. This article adopts the questionnaire method and experimental analysis method to analyze and research the construction of Telecom's smart FMS from the perspective of AI, learn about the existing problems in the FMS of the surveyed company, and analyze the interviewee's The attitude of the necessity of a smart FMS. According to the survey results, both M branch company and G branch company have corresponding problems in the FMS. Among them, financial information construction problems and financial accounting system problems account for a large proportion. A total of 30 of the 50 interviewees think it is necessary to build a smart FMS. Therefore, this is also worth arousing deep thinking by Telecom companies, building a smart FMS for enterprises in the field of AI, making full use of the advantages of AI technology, continuously optimizing the allocation of financial resources, and maximizing Telecom's corporate management income. Continuously improve the competitiveness of enterprises.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81022255","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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