The development of digital media art has brought a broader application prospect for the production of digital animation movies. The incorporation of Digital Media Arts into Animation Filmmaking during the Age of Digital Intelligence The DTW algorithm is selected to temporally regularize and align the motion data of the animated character, and the motion model is downsized and optimized by combining with the PCA method, to obtain the motion sequence with the characteristics of the animated character itself. The multi-scale method is utilized to decompose the original motion data when combined with motion capture technology to establish a 3D motion database. Analyze the motion connection curves between different video clips and the generated animation data after and before motion modeling using the 3D motion database of broadcast gymnastics. Analyzing the drawing efficiency of virtual character models is done using an ordinary human character model with different voxel accuracy. Before the motion library modeling, the average joint error measured in degrees was 10.012°, as indicated by the data. The modeling procedure results in a reduction of the average joint error to 4.281°. The accuracy of animated character generation motion can be improved by using motion modeling. Character motion generation suggestions for animated movie production are provided in this study.
{"title":"The Use of Digital Media Arts in Animation Filmmaking in the Age of Digital Intelligence","authors":"Linye Tang","doi":"10.2478/amns-2024-0264","DOIUrl":"https://doi.org/10.2478/amns-2024-0264","url":null,"abstract":"\u0000 The development of digital media art has brought a broader application prospect for the production of digital animation movies. The incorporation of Digital Media Arts into Animation Filmmaking during the Age of Digital Intelligence The DTW algorithm is selected to temporally regularize and align the motion data of the animated character, and the motion model is downsized and optimized by combining with the PCA method, to obtain the motion sequence with the characteristics of the animated character itself. The multi-scale method is utilized to decompose the original motion data when combined with motion capture technology to establish a 3D motion database. Analyze the motion connection curves between different video clips and the generated animation data after and before motion modeling using the 3D motion database of broadcast gymnastics. Analyzing the drawing efficiency of virtual character models is done using an ordinary human character model with different voxel accuracy. Before the motion library modeling, the average joint error measured in degrees was 10.012°, as indicated by the data. The modeling procedure results in a reduction of the average joint error to 4.281°. The accuracy of animated character generation motion can be improved by using motion modeling. Character motion generation suggestions for animated movie production are provided in this study.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524750","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 era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.
{"title":"Research on the Path of Integrating Curriculum Ideological and Political into Physical Education Teaching in Colleges and Universities in the Era of Artificial Intelligence","authors":"Zhongliang Liu","doi":"10.2478/amns-2024-0675","DOIUrl":"https://doi.org/10.2478/amns-2024-0675","url":null,"abstract":"\u0000 In the era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516378","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}
Tea culture tourism perfectly combines agricultural economic development and cultural tourism, a new trend in today’s tourism industry development. Based on the life cycle theory of tourist places and RMP theory, this paper comprehensively analyzes the three core dimensions of regional tea culture tourism product development: resources, market and products, using Province F as a case study. In the resource dimension, the combination assignment method containing preference information was used to determine the weights, and the fuzzy comprehensive evaluation model was applied to comprehensively evaluate the tea culture tourism resources. The market dimension analysis covers tea tourism’s development status and the characteristics of tourists’ travel behavior. For the product dimension, a quadrant diagram analysis was conducted using the IPA model by combining tourists’ perceived importance and satisfaction with the product. The study results show that Province F excels in tea tourism product development, with a comprehensive resource evaluation score of 90.756 points. Between 2010 and 2019, the tea tourism market received tourists at an average annual growth rate of 12.28%, reflecting the strong growth momentum of the market. Regarding product development, the average values of tourists’ perceived importance and satisfaction were 3.99 and 3.78, respectively, indicating that tourists’ overall satisfaction with tea tourism products is high. The study will help further enhance the attractiveness and competitiveness of tea tourism products and promote sustainable tourism development.
{"title":"Research on Regional Tea Tourism Product Development Strategy Combined with RMP Analysis","authors":"Lingyun Huang","doi":"10.2478/amns-2024-0576","DOIUrl":"https://doi.org/10.2478/amns-2024-0576","url":null,"abstract":"\u0000 Tea culture tourism perfectly combines agricultural economic development and cultural tourism, a new trend in today’s tourism industry development. Based on the life cycle theory of tourist places and RMP theory, this paper comprehensively analyzes the three core dimensions of regional tea culture tourism product development: resources, market and products, using Province F as a case study. In the resource dimension, the combination assignment method containing preference information was used to determine the weights, and the fuzzy comprehensive evaluation model was applied to comprehensively evaluate the tea culture tourism resources. The market dimension analysis covers tea tourism’s development status and the characteristics of tourists’ travel behavior. For the product dimension, a quadrant diagram analysis was conducted using the IPA model by combining tourists’ perceived importance and satisfaction with the product. The study results show that Province F excels in tea tourism product development, with a comprehensive resource evaluation score of 90.756 points. Between 2010 and 2019, the tea tourism market received tourists at an average annual growth rate of 12.28%, reflecting the strong growth momentum of the market. Regarding product development, the average values of tourists’ perceived importance and satisfaction were 3.99 and 3.78, respectively, indicating that tourists’ overall satisfaction with tea tourism products is high. The study will help further enhance the attractiveness and competitiveness of tea tourism products and promote sustainable tourism development.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524404","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 this study, a digital human model was constructed using virtual reality (VR) technology to simulate sports training to reduce injuries caused by improper training. A distance likelihood-based probabilistic model was developed to capture and reconstruct sports training movement data by incorporating computer techniques to improve the quality of data capture. In addition, the study created an adaptive graph convolutional neural network to recognize the same movement under different viewpoints. Through experiments in taekwondo double flying kick training, it was demonstrated that the virtual simulation model could significantly improve the training effect, and the experimental group’s performance of high horizontal kick and double flying kick enhanced by 21.73% and 85.21%, respectively. Applying VR technology to sports training can not only avoid injuries but also significantly improve the training effect.
{"title":"Application of VR technology in sports training in colleges and universities","authors":"Bo Liu, De-an Tian","doi":"10.2478/amns-2024-0330","DOIUrl":"https://doi.org/10.2478/amns-2024-0330","url":null,"abstract":"\u0000 In this study, a digital human model was constructed using virtual reality (VR) technology to simulate sports training to reduce injuries caused by improper training. A distance likelihood-based probabilistic model was developed to capture and reconstruct sports training movement data by incorporating computer techniques to improve the quality of data capture. In addition, the study created an adaptive graph convolutional neural network to recognize the same movement under different viewpoints. Through experiments in taekwondo double flying kick training, it was demonstrated that the virtual simulation model could significantly improve the training effect, and the experimental group’s performance of high horizontal kick and double flying kick enhanced by 21.73% and 85.21%, respectively. Applying VR technology to sports training can not only avoid injuries but also significantly improve the training effect.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520437","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}
To comprehensively improve the quality of ideological and political education in colleges and universities, and to ensure the realization of the fundamental goal of cultivating morality and educating people, this paper emphasizes the importance of the “one, two, three, four classrooms” linkage teaching mode, and proposes an intelligent ideological and political education platform based on big data technology. The platform integrates the first, second, third and fourth classrooms to form an efficient linkage education model. To assess the specific impact of this model on education quality, this study constructed a model using multiple linear regression and estimated the parameters using the least squares method. Through the questionnaire survey and data analysis of five colleges and universities in the university city of L city, it was found that the development quality of the “one, two, three, four classrooms” linkage was generally distributed with the mean value lying in the interval of [0.35,0.55]. Under the baseline regression analysis, the four classrooms had a high R2 fit value of 0.8517 to the dependent variable. The quantile regression analysis showed that as the quantile nodes increased from 0.5 to 1, the number of classroom nodes risen from 1 to 2. Showed that as the quantile node increased from 0.1 to 0.9, the R2 fit value improved more than twofold. This result highlights the need to consider the teaching effect of each classroom comprehensively to ensure that the goal of high-quality development can be realized when colleges and universities promote the “one, two, three, four classrooms” linkage teaching mode of Civics.
{"title":"Research on the linkage of “one, two, three, four classrooms” of ideological and political education in colleges and universities based on big data platform.","authors":"Gang Deng, Xinyue Hu","doi":"10.2478/amns-2024-0398","DOIUrl":"https://doi.org/10.2478/amns-2024-0398","url":null,"abstract":"\u0000 To comprehensively improve the quality of ideological and political education in colleges and universities, and to ensure the realization of the fundamental goal of cultivating morality and educating people, this paper emphasizes the importance of the “one, two, three, four classrooms” linkage teaching mode, and proposes an intelligent ideological and political education platform based on big data technology. The platform integrates the first, second, third and fourth classrooms to form an efficient linkage education model. To assess the specific impact of this model on education quality, this study constructed a model using multiple linear regression and estimated the parameters using the least squares method. Through the questionnaire survey and data analysis of five colleges and universities in the university city of L city, it was found that the development quality of the “one, two, three, four classrooms” linkage was generally distributed with the mean value lying in the interval of [0.35,0.55]. Under the baseline regression analysis, the four classrooms had a high R2 fit value of 0.8517 to the dependent variable. The quantile regression analysis showed that as the quantile nodes increased from 0.5 to 1, the number of classroom nodes risen from 1 to 2. Showed that as the quantile node increased from 0.1 to 0.9, the R2 fit value improved more than twofold. This result highlights the need to consider the teaching effect of each classroom comprehensively to ensure that the goal of high-quality development can be realized when colleges and universities promote the “one, two, three, four classrooms” linkage teaching mode of Civics.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520593","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}
Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this paper, a scale prediction model is introduced based on the Multi-scale Attention Module MAM, composed of CSP-MAM, to detect the position of students in the classroom. Students’ expression changes in the school are identified through face classification, border regression, and face key point localization techniques. Using the data analysis function of the back-end of the information classroom, we obtain students’ classroom interaction information, and with the help of information fusion technology, we fuse the Information of the three classroom dimensions to construct the ideological and political learning evaluation model. In evaluating individual students’ concentration, the frequency of neutral and positive expressions of the five students is 49,960 times higher than that of negative expressions. After the ideological and political informatization teaching, the student’s overall learning effect score is 9.0174, and the three dimensions have been improved by 1.245, 0.9492, and 0.9024, respectively, which shows that the student’s learning concentration and effect under ideological and political informatization education are good.
{"title":"Information Integration Technology Boosts Informationalized Teaching of Ideological and Political Courses in Colleges and Universities","authors":"Jing Chen","doi":"10.2478/amns-2024-0362","DOIUrl":"https://doi.org/10.2478/amns-2024-0362","url":null,"abstract":"\u0000 Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this paper, a scale prediction model is introduced based on the Multi-scale Attention Module MAM, composed of CSP-MAM, to detect the position of students in the classroom. Students’ expression changes in the school are identified through face classification, border regression, and face key point localization techniques. Using the data analysis function of the back-end of the information classroom, we obtain students’ classroom interaction information, and with the help of information fusion technology, we fuse the Information of the three classroom dimensions to construct the ideological and political learning evaluation model. In evaluating individual students’ concentration, the frequency of neutral and positive expressions of the five students is 49,960 times higher than that of negative expressions. After the ideological and political informatization teaching, the student’s overall learning effect score is 9.0174, and the three dimensions have been improved by 1.245, 0.9492, and 0.9024, respectively, which shows that the student’s learning concentration and effect under ideological and political informatization education are good.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516973","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 research firstly constructs the evaluation system of art course Civics, including 2 first-level indicators, 6 second-level indicators and 21 third-level indicators. Bayesian network and war strategy optimization algorithm are used to optimize the evaluation method. In the study, Yaahp software was used to calculate the weights of the indicators. Through empirical analysis of the indicators of “understanding great morality” and “abiding by public morality” of A art students in colleges and universities, it was found that teaching curriculum civic politics significantly impacted improving students’ ideological virtues. The results show that among the indicators of “understanding great virtue”, “ideal belief” (P=0.000), “responsibility of the times” (P=0.025) and “service to society and the people” (P=0.025) have a significant effect on the improvement of students’ ideological virtues. “Serving the society and people” (P=0.001) are substantial; among the indicators of “observing public morality”, “decent makeup” (P=0.021) and “generous dress” (P=0.021) are significant; among the indicators of “observing public morality”, “good makeup” (P=0.021) and “good dress” (P=0.021) are substantial. In the indicator of “observance of public morality”, the indicators of “decent makeup” (P=0.021) and “generous dress” (P=0.018) are significant. The evaluation method based on Bayesian network and war strategy optimization algorithm can effectively assess the implementation effect of Civics in art courses in colleges and universities, which is essential in enhancing students’ awareness of Civics.
{"title":"Implementation Approach and Evaluation Innovation of Civics in Art Courses in Colleges and Universities in the Context of Digital Transformation","authors":"Zhixuan Li","doi":"10.2478/amns-2024-0672","DOIUrl":"https://doi.org/10.2478/amns-2024-0672","url":null,"abstract":"\u0000 The research firstly constructs the evaluation system of art course Civics, including 2 first-level indicators, 6 second-level indicators and 21 third-level indicators. Bayesian network and war strategy optimization algorithm are used to optimize the evaluation method. In the study, Yaahp software was used to calculate the weights of the indicators. Through empirical analysis of the indicators of “understanding great morality” and “abiding by public morality” of A art students in colleges and universities, it was found that teaching curriculum civic politics significantly impacted improving students’ ideological virtues. The results show that among the indicators of “understanding great virtue”, “ideal belief” (P=0.000), “responsibility of the times” (P=0.025) and “service to society and the people” (P=0.025) have a significant effect on the improvement of students’ ideological virtues. “Serving the society and people” (P=0.001) are substantial; among the indicators of “observing public morality”, “decent makeup” (P=0.021) and “generous dress” (P=0.021) are significant; among the indicators of “observing public morality”, “good makeup” (P=0.021) and “good dress” (P=0.021) are substantial. In the indicator of “observance of public morality”, the indicators of “decent makeup” (P=0.021) and “generous dress” (P=0.018) are significant. The evaluation method based on Bayesian network and war strategy optimization algorithm can effectively assess the implementation effect of Civics in art courses in colleges and universities, which is essential in enhancing students’ awareness of Civics.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523106","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}
Traditional teaching has become a thing of the past, the integration of technology and the classroom has brought about significant changes in education, and the role of information entropy in teaching has gradually manifested itself. In this paper, the behavioral time occupancy of the teaching process of university courses is viewed as a probability distribution event combined with the Lagrange multiplier method to solve the maximum entropy value in the distribution of practical teaching behavior. The practice depth value of classroom behavior can be calculated using the interaction behavior coefficient and interaction behavior entropy. Apply the information entropy to the practical teaching analysis of university courses, verify the practical effect of university courses from different sides, and carry out intelligent course construction according to the current situation of students’ learning behavior. The results show that the average score of class 3 in the practical analysis ability assessment is 4.021, which indicates that the practical analysis ability of students in the class meets the standard, and the students’ practical execution should be mainly cultivated in the later practical teaching. 67.1% of students believe that the intelligent classroom has improved their performance over the traditional classroom according to the intelligent course model.
{"title":"Practical Teaching and Intellectualization of University Courses Based on the Maximum Information Entropy Model","authors":"Xinyan Huang","doi":"10.2478/amns-2024-0090","DOIUrl":"https://doi.org/10.2478/amns-2024-0090","url":null,"abstract":"\u0000 Traditional teaching has become a thing of the past, the integration of technology and the classroom has brought about significant changes in education, and the role of information entropy in teaching has gradually manifested itself. In this paper, the behavioral time occupancy of the teaching process of university courses is viewed as a probability distribution event combined with the Lagrange multiplier method to solve the maximum entropy value in the distribution of practical teaching behavior. The practice depth value of classroom behavior can be calculated using the interaction behavior coefficient and interaction behavior entropy. Apply the information entropy to the practical teaching analysis of university courses, verify the practical effect of university courses from different sides, and carry out intelligent course construction according to the current situation of students’ learning behavior. The results show that the average score of class 3 in the practical analysis ability assessment is 4.021, which indicates that the practical analysis ability of students in the class meets the standard, and the students’ practical execution should be mainly cultivated in the later practical teaching. 67.1% of students believe that the intelligent classroom has improved their performance over the traditional classroom according to the intelligent course model.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525392","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}
This study provides an in-depth research on the dynamic allocation of resources in higher education teaching and learning, especially in the application of edge intelligence architecture. In the study, the characteristics of edge intelligence and its application in smart mobile devices (SMDs) are first analyzed, highlighting the role of mobile edge computing (MEC) in reducing latency and improving the quality of user experience. Then, the study adopts a data acquisition method based on deep neural network (DNN) model to optimize the edge training model. The experimental results show that the efficiency of edge computing can be significantly improved by optimizing the allocation of computing resources and reducing the data transmission delay. Specifically, the total training delay and energy consumption of the edge server are reduced under different global iteration numbers in the experiment. In addition, the study also explores the integration of 5G networks and AR/VR technology in education. It proposes a teaching optimization model based on edge intelligence, improving interaction quality and learning efficiency in AR/VR safety education classrooms. The study shows that the teaching model performs well in reducing latency and increasing transmission rate, which is especially suitable for dual-teacher classroom scenarios and provides a new perspective for future higher education teaching.
{"title":"Optimization of Higher Education Teaching Methodology System Based on Edge Intelligence","authors":"Jingjing Guo, Xiaoxu Wei","doi":"10.2478/amns-2024-0619","DOIUrl":"https://doi.org/10.2478/amns-2024-0619","url":null,"abstract":"\u0000 This study provides an in-depth research on the dynamic allocation of resources in higher education teaching and learning, especially in the application of edge intelligence architecture. In the study, the characteristics of edge intelligence and its application in smart mobile devices (SMDs) are first analyzed, highlighting the role of mobile edge computing (MEC) in reducing latency and improving the quality of user experience. Then, the study adopts a data acquisition method based on deep neural network (DNN) model to optimize the edge training model. The experimental results show that the efficiency of edge computing can be significantly improved by optimizing the allocation of computing resources and reducing the data transmission delay. Specifically, the total training delay and energy consumption of the edge server are reduced under different global iteration numbers in the experiment. In addition, the study also explores the integration of 5G networks and AR/VR technology in education. It proposes a teaching optimization model based on edge intelligence, improving interaction quality and learning efficiency in AR/VR safety education classrooms. The study shows that the teaching model performs well in reducing latency and increasing transmission rate, which is especially suitable for dual-teacher classroom scenarios and provides a new perspective for future higher education teaching.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140521475","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}
This study is dedicated to exploring the effectiveness of digital transformation of financial management of real enterprises in the information age. The annual reports of enterprises are collected from 2011 to 2022 by web crawler technology, and text mining algorithms, such as TF-IDF and LDA theme model, are used to establish a measurement index system of digital transformation of financial management, which is calculated by entropy weight-TOPSIS method. The results show that keywords related to digital transformation, such as “informatization” and “intelligence”, appear frequently, and the importance of the theme changes significantly in different transformation stages. During the rapid transformation period, the frequency of words such as “industrial internet” and “smart grid” exceeds 400 times. Some companies have seen significant improvements in debt servicing, operations and profitability. Digital transformation of financial management is efficacious in improving operational efficiency and profitability. Still, it is a dynamic process that requires enterprises to choose appropriate strategies based on their characteristics. The study emphasizes that enterprises should pay close attention to integrating and applying emerging digital technologies and optimize their internal governance structure to promote sustainable performance improvement.
{"title":"Digital Transformation Strategy for Financial Management of Entity Enterprises in the Information Age","authors":"Meng Huang, Sen Gao","doi":"10.2478/amns-2024-0533","DOIUrl":"https://doi.org/10.2478/amns-2024-0533","url":null,"abstract":"\u0000 This study is dedicated to exploring the effectiveness of digital transformation of financial management of real enterprises in the information age. The annual reports of enterprises are collected from 2011 to 2022 by web crawler technology, and text mining algorithms, such as TF-IDF and LDA theme model, are used to establish a measurement index system of digital transformation of financial management, which is calculated by entropy weight-TOPSIS method. The results show that keywords related to digital transformation, such as “informatization” and “intelligence”, appear frequently, and the importance of the theme changes significantly in different transformation stages. During the rapid transformation period, the frequency of words such as “industrial internet” and “smart grid” exceeds 400 times. Some companies have seen significant improvements in debt servicing, operations and profitability. Digital transformation of financial management is efficacious in improving operational efficiency and profitability. Still, it is a dynamic process that requires enterprises to choose appropriate strategies based on their characteristics. The study emphasizes that enterprises should pay close attention to integrating and applying emerging digital technologies and optimize their internal governance structure to promote sustainable performance improvement.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523745","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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