Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00047
Yuxiong Chen, Jianhua Zhang
The original intention of school education is to cultivate talents for the society. The artificial intelligence technology specialty registered in vocational colleges should do a good job in teaching to cultivate application-oriented, skilled and practical talents. Taking the teaching work of offering AI specialized courses in higher vocational colleges as an example, this paper introduces how to use IBM SPSS as a data statistical analysis tool, take students’ grades as data samples, adopt normal distribution and statistical analysis algorithms, and obtain reliable data results after data collection and preprocessing, modeling, analysis, and calculation. Subsequently, as an important basis, the work of curriculum reform was carried out. In the article, the relevant algorithm and operation process are introduced in detail, which may be used as the experience of mutual learning and exchange in the curriculum reform of higher vocational colleges. This is also conducive to the better development and implementation of precision teaching in higher vocational colleges.
{"title":"Studying on Normal Distribution and Algorithms","authors":"Yuxiong Chen, Jianhua Zhang","doi":"10.1109/icise-ie58127.2022.00047","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00047","url":null,"abstract":"The original intention of school education is to cultivate talents for the society. The artificial intelligence technology specialty registered in vocational colleges should do a good job in teaching to cultivate application-oriented, skilled and practical talents. Taking the teaching work of offering AI specialized courses in higher vocational colleges as an example, this paper introduces how to use IBM SPSS as a data statistical analysis tool, take students’ grades as data samples, adopt normal distribution and statistical analysis algorithms, and obtain reliable data results after data collection and preprocessing, modeling, analysis, and calculation. Subsequently, as an important basis, the work of curriculum reform was carried out. In the article, the relevant algorithm and operation process are introduced in detail, which may be used as the experience of mutual learning and exchange in the curriculum reform of higher vocational colleges. This is also conducive to the better development and implementation of precision teaching in higher vocational colleges.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116548817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00012
Ting Wang, Yan Ma
In the “Internet +” era, smart education is the hot spot in the constr, In the era of “Internet +”, smart classroom is a hot spot in the construction and development of education and teaching. This paper takes the computer major course scores in the online smart platform of a university in Chongqing as an example, and then uses the random forest model to reduce the dimension of influencing factors, and then uses Spearman correlation analysis to analyze the correlation of variables after dimensionality reduction. Find the important influencing factors and the interaction between the important influencing factors. This paper discusses the influence degree of each dimension in the smart classroom environment on the final examination score, and then provides the selection basis for the discussion of the teaching design and mode of smart classroom.
{"title":"The Analysis of Influencing Factors of Wisdom Classroom Teaching Based on Random Forest","authors":"Ting Wang, Yan Ma","doi":"10.1109/icise-ie58127.2022.00012","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00012","url":null,"abstract":"In the “Internet +” era, smart education is the hot spot in the constr, In the era of “Internet +”, smart classroom is a hot spot in the construction and development of education and teaching. This paper takes the computer major course scores in the online smart platform of a university in Chongqing as an example, and then uses the random forest model to reduce the dimension of influencing factors, and then uses Spearman correlation analysis to analyze the correlation of variables after dimensionality reduction. Find the important influencing factors and the interaction between the important influencing factors. This paper discusses the influence degree of each dimension in the smart classroom environment on the final examination score, and then provides the selection basis for the discussion of the teaching design and mode of smart classroom.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"30 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00034
Yuanyuan Kong, Xin Li
In the era of big data, the application of data mining technology in ideological and political teaching can solve the practical problem of how to extract the implicit and high-value educational information knowledge or model from the fragmented data torrent. Firstly, this paper points out the adaptability of data mining technology and ideological and political teaching by combining functional analysis and demand analysis. Secondly, with the help of embedded system analysis method, the application model based on data mining technology in ideological and political teaching practice is constructed. Finally, the concrete measures to promote the application of data mining technology are put forward.
{"title":"Application of Data Mining Technology in Ideological and Political Teaching","authors":"Yuanyuan Kong, Xin Li","doi":"10.1109/icise-ie58127.2022.00034","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00034","url":null,"abstract":"In the era of big data, the application of data mining technology in ideological and political teaching can solve the practical problem of how to extract the implicit and high-value educational information knowledge or model from the fragmented data torrent. Firstly, this paper points out the adaptability of data mining technology and ideological and political teaching by combining functional analysis and demand analysis. Secondly, with the help of embedded system analysis method, the application model based on data mining technology in ideological and political teaching practice is constructed. Finally, the concrete measures to promote the application of data mining technology are put forward.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00030
Jing Bai, Yunpeng He, Yun He, An-Yi Mei
The location and planning of base stations, which are related to the quality of communication services and the construction cost of base stations, are highlights of widespread concern in the field of communication. Based on the analysis of existing base station locations of the 5G mobile communication network, the article adopts the immune genetic algorithm and DBSCAN algorithm to mathematically model and analyze the types and locations of new base stations. The base station locations are reasonably planned to achieve the optimization of cost and coverage conditions. Clustering analysis of different weak coverage areas is done to realize the partition management of different weak coverage areas, which makes it possible to better solve the weak coverage problem.
{"title":"5G Mobile Communication Network Site Planning And Regional Clustering Problems","authors":"Jing Bai, Yunpeng He, Yun He, An-Yi Mei","doi":"10.1109/icise-ie58127.2022.00030","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00030","url":null,"abstract":"The location and planning of base stations, which are related to the quality of communication services and the construction cost of base stations, are highlights of widespread concern in the field of communication. Based on the analysis of existing base station locations of the 5G mobile communication network, the article adopts the immune genetic algorithm and DBSCAN algorithm to mathematically model and analyze the types and locations of new base stations. The base station locations are reasonably planned to achieve the optimization of cost and coverage conditions. Clustering analysis of different weak coverage areas is done to realize the partition management of different weak coverage areas, which makes it possible to better solve the weak coverage problem.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00032
Yinshan Jiang
Mathematical modeling is an important practical activity that solves practical problems by using all kinds of mathematical knowledge comprehensively. Various kinds of mathematical modeling contests full of vitality and broad space for development not only provide students with the ability to demonstrate applied mathematics, but also put forward clearer demands for mathematics teaching in colleges and universities. It is a serious problem for mathematics teachers to integrate the idea of mathematical modeling into the daily teaching of probability theory and mathematical statistics so that students can learn the course better.
{"title":"Research on the Teaching Reform of Integrating Mathem-atical Modeling into Probability Theory and Mathematical Statistics","authors":"Yinshan Jiang","doi":"10.1109/icise-ie58127.2022.00032","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00032","url":null,"abstract":"Mathematical modeling is an important practical activity that solves practical problems by using all kinds of mathematical knowledge comprehensively. Various kinds of mathematical modeling contests full of vitality and broad space for development not only provide students with the ability to demonstrate applied mathematics, but also put forward clearer demands for mathematics teaching in colleges and universities. It is a serious problem for mathematics teachers to integrate the idea of mathematical modeling into the daily teaching of probability theory and mathematical statistics so that students can learn the course better.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123065285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00015
Jinghan Zhang, Xin Shao, Ying Sun
At present, most colleges and universities in China have completed the informatization of library management, and the library management has become more scientific and efficient. However, many university library management systems have some problems, such as outdated functions, aging systems and unstable operation. Therefore, the author of this paper designs a college library management information system. Under the Javaweb environment, the whole system is built with SpringMVC framework, MySQL database as the data storage support of the system, Windows 10 as the operating system and Tomcat 8.0 as the web server. With this technology stack, the problem of unstable operation in the previous system has been solved, and a library management information system with higher efficiency and more stable operation has been constructed, which not only reduces the workload of library administrators, but also provides students with a more convenient book borrowing experience and makes the library play the greatest role in campus life..
{"title":"Design and Implementation of Library Management Information System Based on SpringMVC","authors":"Jinghan Zhang, Xin Shao, Ying Sun","doi":"10.1109/icise-ie58127.2022.00015","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00015","url":null,"abstract":"At present, most colleges and universities in China have completed the informatization of library management, and the library management has become more scientific and efficient. However, many university library management systems have some problems, such as outdated functions, aging systems and unstable operation. Therefore, the author of this paper designs a college library management information system. Under the Javaweb environment, the whole system is built with SpringMVC framework, MySQL database as the data storage support of the system, Windows 10 as the operating system and Tomcat 8.0 as the web server. With this technology stack, the problem of unstable operation in the previous system has been solved, and a library management information system with higher efficiency and more stable operation has been constructed, which not only reduces the workload of library administrators, but also provides students with a more convenient book borrowing experience and makes the library play the greatest role in campus life..","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131808860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00008
Yingmin Zhang, Shu-Zhen Hao
The construction of internal control system is an important measure to improve the governance system of colleges and universities themselves. With the development of social information technology and the requirements of national internal control construction, colleges and universities constantly promote the information construction of internal control system. At present, there are some problems in the internal control system of colleges and universities, such as the disconnection between information system and business system, and the information resources can not be effectively integrated. To this end, this paper uses the “Standard-based Full Business Process Collaborative Management Information System Framework” (XTA) approach, Using J2EE technologyXML technology and other information system integration technology, this paper puts forward the inner-control information construction plan of university from the aspects of construction idea, overall system framework, overall technical route, main construction system, data exchange tool, etc.
{"title":"Construction of university internal control Information System Based on Big Data","authors":"Yingmin Zhang, Shu-Zhen Hao","doi":"10.1109/icise-ie58127.2022.00008","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00008","url":null,"abstract":"The construction of internal control system is an important measure to improve the governance system of colleges and universities themselves. With the development of social information technology and the requirements of national internal control construction, colleges and universities constantly promote the information construction of internal control system. At present, there are some problems in the internal control system of colleges and universities, such as the disconnection between information system and business system, and the information resources can not be effectively integrated. To this end, this paper uses the “Standard-based Full Business Process Collaborative Management Information System Framework” (XTA) approach, Using J2EE technologyXML technology and other information system integration technology, this paper puts forward the inner-control information construction plan of university from the aspects of construction idea, overall system framework, overall technical route, main construction system, data exchange tool, etc.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130742609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00049
Junle Liang, Songsen Yu, Linna Lu
Art education is a special subject in the education system. However, art education still shows a considerable degree of immaturity and imperfection in modern education. For example, a huge gap in the number of art teachers, uneven teaching quality in rural and remote areas, inconsistent standards and extremely cumbersome manual scoring. Intelligently ranking the artworks can effectively alleviate the above problems. In this paper, we expand our dataset SCNU-SW and then give an enhanced transfer learning model to automatically rank sketch works. First, ResNeSt50 is selected as the backbone of transfer learning. Second, data Augmentation, Maxout, Dropout and Relu (AMDR) modules are added in a certain order into ResNeSt50 such that the classification performance and generalization ability of model can be enhanced. Third, we verify the generality of the AMDR module on most convolutional networks in sketch works ranking field. The experimental results on SCNU-SW610 show that our model achieves classification accuracy of 86.6% for ranking sketch works and outperforms the most mainstream models.
{"title":"A Transfer Learning Model based on Residual learning and Maxout For Sketch Works Ranking","authors":"Junle Liang, Songsen Yu, Linna Lu","doi":"10.1109/icise-ie58127.2022.00049","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00049","url":null,"abstract":"Art education is a special subject in the education system. However, art education still shows a considerable degree of immaturity and imperfection in modern education. For example, a huge gap in the number of art teachers, uneven teaching quality in rural and remote areas, inconsistent standards and extremely cumbersome manual scoring. Intelligently ranking the artworks can effectively alleviate the above problems. In this paper, we expand our dataset SCNU-SW and then give an enhanced transfer learning model to automatically rank sketch works. First, ResNeSt50 is selected as the backbone of transfer learning. Second, data Augmentation, Maxout, Dropout and Relu (AMDR) modules are added in a certain order into ResNeSt50 such that the classification performance and generalization ability of model can be enhanced. Third, we verify the generality of the AMDR module on most convolutional networks in sketch works ranking field. The experimental results on SCNU-SW610 show that our model achieves classification accuracy of 86.6% for ranking sketch works and outperforms the most mainstream models.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130986614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00027
Chengyang Li, Shuai Yu, Cong Peng, Peng Shi
The multi-channel high real-time data acquisition and processing system is a key component of the normal and reliable operation of the modern intelligent ship electric power system, which is crucial to the real-time monitoring of the power quality of the electric power system and the operation status information of the electric power system equipment. By analyzing the architecture of multi-channel data acquisition system and the principle of data acquisition and data processing, this paper designs a multi-channel data acquisition and processing system, and builds a physical system test platform. The actual operation proves that this system can meet the needs of power system data acquisition in high real-time and high synchronization.
{"title":"Research on State Monitoring of Ship Power System Based on Multi-channel Data Acquisition System","authors":"Chengyang Li, Shuai Yu, Cong Peng, Peng Shi","doi":"10.1109/icise-ie58127.2022.00027","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00027","url":null,"abstract":"The multi-channel high real-time data acquisition and processing system is a key component of the normal and reliable operation of the modern intelligent ship electric power system, which is crucial to the real-time monitoring of the power quality of the electric power system and the operation status information of the electric power system equipment. By analyzing the architecture of multi-channel data acquisition system and the principle of data acquisition and data processing, this paper designs a multi-channel data acquisition and processing system, and builds a physical system test platform. The actual operation proves that this system can meet the needs of power system data acquisition in high real-time and high synchronization.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132358503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1109/icise-ie58127.2022.00011
Jian Rao, Chuqi Qiu, Mengzhen Xiong
AIGC, meaning AI-generated content, is discussed in this paper, mainly in the form of painting, without discussing the automation of music composition and text-writing poetry, etc. While generative art has aesthetic characteristics, more content needs to be studied in the context of computer information science, with a particular emphasis on computer vision and computer graphics. The article focuses on a comparative analysis of two models, diffusion algorithms and generative adversarial networks, and their application to tools. The practical part of image processing uses a combination of case studies and questionnaires to demonstrate the lack of methodology, teaching experience, and introductory learning materials for non-computer professionals in the emerging field, and to explain “filter mapping” through Processing, a visual programming software. The author’s reflections on the generated content combine the self-similarity of the “Uncanny Valley effect” and the “Dunning Kruger effect” lineage, comparing the “self-organizing” (machine) simulation personification and the “life form” (human) simulation personification. The process of cognitive assimilation of a “living organism” (human) is used to understand the new human-machine associative relationship.
{"title":"Research on Image Processing and Generative Teaching in the Context of AIGC","authors":"Jian Rao, Chuqi Qiu, Mengzhen Xiong","doi":"10.1109/icise-ie58127.2022.00011","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00011","url":null,"abstract":"AIGC, meaning AI-generated content, is discussed in this paper, mainly in the form of painting, without discussing the automation of music composition and text-writing poetry, etc. While generative art has aesthetic characteristics, more content needs to be studied in the context of computer information science, with a particular emphasis on computer vision and computer graphics. The article focuses on a comparative analysis of two models, diffusion algorithms and generative adversarial networks, and their application to tools. The practical part of image processing uses a combination of case studies and questionnaires to demonstrate the lack of methodology, teaching experience, and introductory learning materials for non-computer professionals in the emerging field, and to explain “filter mapping” through Processing, a visual programming software. The author’s reflections on the generated content combine the self-similarity of the “Uncanny Valley effect” and the “Dunning Kruger effect” lineage, comparing the “self-organizing” (machine) simulation personification and the “life form” (human) simulation personification. The process of cognitive assimilation of a “living organism” (human) is used to understand the new human-machine associative relationship.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122504745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：