Modernism is a function-centered design idea, which holds that man is the basic starting point of design and emphasizes the unity of technology and art. Modern commercial environment is one of the important components of modern cities, and it is also an important place to show the commercial culture, urban style and features of modern cities. The concept of computer aided design is applied to the design of commercial indoor environment, so as to enhance the aesthetic appeal and provide people with a good working and shopping experience. From the perspective of "people", this paper systematically and comprehensively analyzes the theoretical basis and humanistic background of humanized design of modern commercial complex interior space based on the concept of computer aided design; establish a relatively perfect humanized design system for indoor space of commercial complex. The purpose is to provide a good theoretical guidance for future practical research.
{"title":"Research on Commercial Interior Environment Design Based on Computer Aided Design","authors":"Zijia Wang","doi":"10.1145/3482632.3482689","DOIUrl":"https://doi.org/10.1145/3482632.3482689","url":null,"abstract":"Modernism is a function-centered design idea, which holds that man is the basic starting point of design and emphasizes the unity of technology and art. Modern commercial environment is one of the important components of modern cities, and it is also an important place to show the commercial culture, urban style and features of modern cities. The concept of computer aided design is applied to the design of commercial indoor environment, so as to enhance the aesthetic appeal and provide people with a good working and shopping experience. From the perspective of \"people\", this paper systematically and comprehensively analyzes the theoretical basis and humanistic background of humanized design of modern commercial complex interior space based on the concept of computer aided design; establish a relatively perfect humanized design system for indoor space of commercial complex. The purpose is to provide a good theoretical guidance for future practical research.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126373219","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 advent of the Internet era has brought about earth-shaking changes in the news media industry, which places higher demands on broadcasters. As a university, it is necessary to analyze the current teaching situation of the broadcasting and hosting major, and to explore a teaching path suitable for the Internet environment, to improve the professional quality of the graduates of the broadcasting and hosting major, and to ensure the consistency of university teaching and social needs. This article conducts research on the innovation and entrepreneurship of university broadcasters under the Internet background.
{"title":"Research on Innovation and Entrepreneurship of University Broadcasting and Hosting Major Based on Information Technology","authors":"Shimin Yang","doi":"10.1145/3482632.3483046","DOIUrl":"https://doi.org/10.1145/3482632.3483046","url":null,"abstract":"The advent of the Internet era has brought about earth-shaking changes in the news media industry, which places higher demands on broadcasters. As a university, it is necessary to analyze the current teaching situation of the broadcasting and hosting major, and to explore a teaching path suitable for the Internet environment, to improve the professional quality of the graduates of the broadcasting and hosting major, and to ensure the consistency of university teaching and social needs. This article conducts research on the innovation and entrepreneurship of university broadcasters under the Internet background.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126517580","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 higher education system is an important factor in measuring the education level and national strength of a country. A healthy and sustainable higher education system can effectively improve the country's competitiveness. The establishment of a complete and unified model for evaluating the pros and cons of the national higher education system is the basis for improving the level of the higher education system. In this article, we will build the relevant model in four steps. The first step is to search for documents and data, and use data on factors such as knowledge protection in multiple countries, higher education enrollment rates, education system quality, student Internet access, government education expenditures, the number of citations per paper, and the value of degrees. Build a model based on it. And standardize all data. In the second step, since the factors may have a certain correlation, the principal component analysis method is used to convert the equi-related variables into another set of unrelated variables and establish a model. The third step is to analyze the health and sustainability levels of higher education systems in Canada, France, Germany, Italy, Japan, Russia, the United Kingdom, the United States and other countries based on this model, and obtain rankings and comprehensive scores. The fourth step is to use the entropy method to calculate the specific weight of each factor. Select one of the countries to reform the most weighted factor. Import the reformed data into the model again, observe and analyze its changes.
{"title":"Analysis on the level of higher universities in different countries using entropy weight method and analytic hierarchy process","authors":"Qing Zhou, Qiang Zhang, Hao Li","doi":"10.1145/3482632.3487502","DOIUrl":"https://doi.org/10.1145/3482632.3487502","url":null,"abstract":"The higher education system is an important factor in measuring the education level and national strength of a country. A healthy and sustainable higher education system can effectively improve the country's competitiveness. The establishment of a complete and unified model for evaluating the pros and cons of the national higher education system is the basis for improving the level of the higher education system. In this article, we will build the relevant model in four steps. The first step is to search for documents and data, and use data on factors such as knowledge protection in multiple countries, higher education enrollment rates, education system quality, student Internet access, government education expenditures, the number of citations per paper, and the value of degrees. Build a model based on it. And standardize all data. In the second step, since the factors may have a certain correlation, the principal component analysis method is used to convert the equi-related variables into another set of unrelated variables and establish a model. The third step is to analyze the health and sustainability levels of higher education systems in Canada, France, Germany, Italy, Japan, Russia, the United Kingdom, the United States and other countries based on this model, and obtain rankings and comprehensive scores. The fourth step is to use the entropy method to calculate the specific weight of each factor. Select one of the countries to reform the most weighted factor. Import the reformed data into the model again, observe and analyze its changes.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121307385","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}
At present, information technology and Internet technology are developing rapidly, and more and more schools and teachers are adopting network information teaching methods to carry out teaching activities. According to incomplete statistics, people spend at least 15 years in school for education in their lifetime, which does not include the graduate level. To lay the foundation for this long period of school education is the pre-school education stage. The early childhood period is the most important stage of the intellectual development of life, and it is also the foundation of education. This paper uses Web data mining technology to provide personalized services to the online preschool education and learning platform, to study the interests and learning habits of preschool children, to choose more needed resources for students, and to provide better services. The survey report shows that more than 50% of students use the online learning platform for more than one hour a day, and even 5% of students use the cloud platform to study for more than 3 hours a day. The survey report also shows that 92% of students’ parents are satisfied with the online learning platform, and 63% of them are very satisfied. As the technology becomes more and more perfect, the quality of teaching will gradually improve in the future.
{"title":"Cloud Learning Platform Technology of Online Preschool Education Based on Big Data","authors":"Wenli Zhong","doi":"10.1145/3482632.3483161","DOIUrl":"https://doi.org/10.1145/3482632.3483161","url":null,"abstract":"At present, information technology and Internet technology are developing rapidly, and more and more schools and teachers are adopting network information teaching methods to carry out teaching activities. According to incomplete statistics, people spend at least 15 years in school for education in their lifetime, which does not include the graduate level. To lay the foundation for this long period of school education is the pre-school education stage. The early childhood period is the most important stage of the intellectual development of life, and it is also the foundation of education. This paper uses Web data mining technology to provide personalized services to the online preschool education and learning platform, to study the interests and learning habits of preschool children, to choose more needed resources for students, and to provide better services. The survey report shows that more than 50% of students use the online learning platform for more than one hour a day, and even 5% of students use the cloud platform to study for more than 3 hours a day. The survey report also shows that 92% of students’ parents are satisfied with the online learning platform, and 63% of them are very satisfied. As the technology becomes more and more perfect, the quality of teaching will gradually improve in the future.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121402661","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 traditional nursing clinical practice teaching has the problems of lacking practicality and management, and poor comprehensive quality of nursing interns. Therefore, this paper puts forward the nursing clinical practice teaching management system design and implementation to solve the problem. First, the basic framework of management system design is established, which can obtain four mainly parts: system management, nursing files, nursing quality control, statistical analysis; and then the nursing clinical practice teaching management system design and implementation are carried out from the three aspects of teaching management organization design, teaching management operation mode, and teaching management mechanism protection. Finally, the experiment proves that the design of management system not only realizes the scientificity, standardization and digitalization of the nursing staff files and nursing batches, but also makes the nursing managers control the comprehensive situation of the nursing human resources in the hospital and help to improve the quality and efficiency of the whole process of nursing, and ultimately achieves good quality care and greatly improves patient satisfaction.
{"title":"Design and Implementation of Nursing Clinical Practice Teaching Management System","authors":"Xinzhi Zhuang","doi":"10.1145/3482632.3484030","DOIUrl":"https://doi.org/10.1145/3482632.3484030","url":null,"abstract":"The traditional nursing clinical practice teaching has the problems of lacking practicality and management, and poor comprehensive quality of nursing interns. Therefore, this paper puts forward the nursing clinical practice teaching management system design and implementation to solve the problem. First, the basic framework of management system design is established, which can obtain four mainly parts: system management, nursing files, nursing quality control, statistical analysis; and then the nursing clinical practice teaching management system design and implementation are carried out from the three aspects of teaching management organization design, teaching management operation mode, and teaching management mechanism protection. Finally, the experiment proves that the design of management system not only realizes the scientificity, standardization and digitalization of the nursing staff files and nursing batches, but also makes the nursing managers control the comprehensive situation of the nursing human resources in the hospital and help to improve the quality and efficiency of the whole process of nursing, and ultimately achieves good quality care and greatly improves patient satisfaction.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"87 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303223","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 Internet technology, it has affected all aspects of society, including college education. The use of modern educational technology such as ASP.NET in college legal education can improve the intuitiveness and accuracy of the teaching process, enrich the teaching methods, and the integration of online and offline teaching mode can also better deepen students' understanding of knowledge. After analyzing the status quo of law teaching in traditional colleges and universities, this article finds deficiencies. Through experimentation and comparison, it is found that the use of ASP. NET network multimedia technology adopts a new teaching mode integrating online and offline, which can effectively control the learning process of students, enhance the teaching effect, and achieve the goal of continuous improvement.
{"title":"Application of Online and Offline Mixed Teaching Mode Based on ASP.NET Technology in Law Education in Colleges and Universities","authors":"Sisi Chen","doi":"10.1145/3482632.3483019","DOIUrl":"https://doi.org/10.1145/3482632.3483019","url":null,"abstract":"With the rapid development of Internet technology, it has affected all aspects of society, including college education. The use of modern educational technology such as ASP.NET in college legal education can improve the intuitiveness and accuracy of the teaching process, enrich the teaching methods, and the integration of online and offline teaching mode can also better deepen students' understanding of knowledge. After analyzing the status quo of law teaching in traditional colleges and universities, this article finds deficiencies. Through experimentation and comparison, it is found that the use of ASP. NET network multimedia technology adopts a new teaching mode integrating online and offline, which can effectively control the learning process of students, enhance the teaching effect, and achieve the goal of continuous improvement.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037307","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 recent years, action recognition has gradually developed into a popular research problem in modern computers and other visual science and technology, and has great social science research value. Domestic and foreign experts, scholars and their research units have done a lot of research on this issue, and they have achieved good results. However, the number of research results obtained from the actual application of the human movement recognition technology in the exercise teaching video is relatively small. One of the main reasons is that the motion recognition technology in the human movement teaching video is relatively complex in the application of human movement teaching. At the same time, there is also its own occlusion problem in sports, which leads to a relatively low accuracy of action recognition. Therefore, the development of motion detection and recognition in sports teaching videos is relatively slow. This article aims to study the intelligent recognition of sports teaching videos based on computer vision technology. On the basis of computer vision technology, recognition algorithms and video image preprocessing analysis, support vector machines are used to train sports movements. After the training is completed, the movement can be realized. The experimental results show that the two simulation experiments have achieved good results, verifying the feasibility of the method in the intelligent recognition of sports teaching videos.
{"title":"Intelligent Recognition of Sports Teaching Video Based on Computer Vision Technology","authors":"Xiaomin Zhou","doi":"10.1145/3482632.3483158","DOIUrl":"https://doi.org/10.1145/3482632.3483158","url":null,"abstract":"In recent years, action recognition has gradually developed into a popular research problem in modern computers and other visual science and technology, and has great social science research value. Domestic and foreign experts, scholars and their research units have done a lot of research on this issue, and they have achieved good results. However, the number of research results obtained from the actual application of the human movement recognition technology in the exercise teaching video is relatively small. One of the main reasons is that the motion recognition technology in the human movement teaching video is relatively complex in the application of human movement teaching. At the same time, there is also its own occlusion problem in sports, which leads to a relatively low accuracy of action recognition. Therefore, the development of motion detection and recognition in sports teaching videos is relatively slow. This article aims to study the intelligent recognition of sports teaching videos based on computer vision technology. On the basis of computer vision technology, recognition algorithms and video image preprocessing analysis, support vector machines are used to train sports movements. After the training is completed, the movement can be realized. The experimental results show that the two simulation experiments have achieved good results, verifying the feasibility of the method in the intelligent recognition of sports teaching videos.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121244320","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 recent years, information technology has penetrated into all fields of production and consumption, and big data is bringing more economic benefits to enterprises. Marketing is the front-end operation of enterprises, which is used to collect accumulated sales behavior data, while sales are directly affected by big data. Big data analysis technology can be used to promote the development of the whole marketing operation, and many enterprises can hire experienced marketing experts without high salary. Enterprises can directly use big data analysis to achieve accurate market positioning and increase sales to target groups. It can not only save the marketing cost of enterprises, but also bring more benefits to enterprises and help enterprises achieve the goal of maximizing profits. In order to help enterprises develop faster and occupy more market resources in the fierce market competition, this paper analyzes the new marketing model based on collaborative recommendation algorithm in the context of big data era, and helps managers make scientific and reasonable decisions quickly and accurately.
{"title":"Discussion on New Marketing Mode Based on Collaborative Recommendation Algorithm in Big Data Era","authors":"Huimin Chen","doi":"10.1145/3482632.3482728","DOIUrl":"https://doi.org/10.1145/3482632.3482728","url":null,"abstract":"In recent years, information technology has penetrated into all fields of production and consumption, and big data is bringing more economic benefits to enterprises. Marketing is the front-end operation of enterprises, which is used to collect accumulated sales behavior data, while sales are directly affected by big data. Big data analysis technology can be used to promote the development of the whole marketing operation, and many enterprises can hire experienced marketing experts without high salary. Enterprises can directly use big data analysis to achieve accurate market positioning and increase sales to target groups. It can not only save the marketing cost of enterprises, but also bring more benefits to enterprises and help enterprises achieve the goal of maximizing profits. In order to help enterprises develop faster and occupy more market resources in the fierce market competition, this paper analyzes the new marketing model based on collaborative recommendation algorithm in the context of big data era, and helps managers make scientific and reasonable decisions quickly and accurately.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124231","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 mind map puts keywords in the center, and helps students to make the thinking process explicit through visual expressions, and establishes logical relationship between vocabulary in line with personal thinking habits, so that the vocabulary memory process can be traced follow, no longer confuse vocabulary concepts, have a deeper understanding of Japanese vocabulary knowledge, and enhance memory effect. This article compares mind map production tools, analyzes the composition of Japanese vocabulary, draws examples of Japanese vocabulary mind maps, and points out the application methods of mind maps in Japanese vocabulary teaching: realize classification memory of Japanese vocabulary, learn and master Japanese polysemous words, comprehensive use of multiple teaching methods, innovative learning methods of Japanese vocabulary, and extend learning path of Japanese vocabulary. CCS CONCEPTS • Applied computing→ Education; E-learning.
{"title":"Application on Mind Map in Japanese Vocabulary Teaching","authors":"Yuyang Shan","doi":"10.1145/3482632.3487497","DOIUrl":"https://doi.org/10.1145/3482632.3487497","url":null,"abstract":"The mind map puts keywords in the center, and helps students to make the thinking process explicit through visual expressions, and establishes logical relationship between vocabulary in line with personal thinking habits, so that the vocabulary memory process can be traced follow, no longer confuse vocabulary concepts, have a deeper understanding of Japanese vocabulary knowledge, and enhance memory effect. This article compares mind map production tools, analyzes the composition of Japanese vocabulary, draws examples of Japanese vocabulary mind maps, and points out the application methods of mind maps in Japanese vocabulary teaching: realize classification memory of Japanese vocabulary, learn and master Japanese polysemous words, comprehensive use of multiple teaching methods, innovative learning methods of Japanese vocabulary, and extend learning path of Japanese vocabulary. CCS CONCEPTS • Applied computing→ Education; E-learning.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116256237","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}
Nowadays, IT technology has developed well, penetrated into every detail and corner of people’s life, and is an indispensable part of human life. The traditional storage method is slowly being eliminated by us. As a popular service, online music platform has provided great convenience to network users who love music, which has attracted more and more attention from network users. Music is not only an art of human emotion in real life, but also a way of mass entertainment with a long history. Starting from the current situation, advantages and limitations of online music platform construction in colleges and universities, this paper studies the construction strategy of online music platform based on music feature matching algorithm. Campus online music platform not only brings vitality to the relatively monotonous and lack of communication network environment of Chinese universities, but also promotes campus culture and brings together students who love music on campus.
{"title":"Design and Implementation of Campus Online Music Platform Based on Music Feature Matching Algorithm","authors":"Lina Zhang","doi":"10.1145/3482632.3487508","DOIUrl":"https://doi.org/10.1145/3482632.3487508","url":null,"abstract":"Nowadays, IT technology has developed well, penetrated into every detail and corner of people’s life, and is an indispensable part of human life. The traditional storage method is slowly being eliminated by us. As a popular service, online music platform has provided great convenience to network users who love music, which has attracted more and more attention from network users. Music is not only an art of human emotion in real life, but also a way of mass entertainment with a long history. Starting from the current situation, advantages and limitations of online music platform construction in colleges and universities, this paper studies the construction strategy of online music platform based on music feature matching algorithm. Campus online music platform not only brings vitality to the relatively monotonous and lack of communication network environment of Chinese universities, but also promotes campus culture and brings together students who love music on campus.","PeriodicalId":165101,"journal":{"name":"2021 4th International Conference on Information Systems and Computer Aided Education","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257498","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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