bluuebunny/crossref_metadata_2025 huggingface dataset:
The Importance of Dual Piano Performance Forms in Piano Performance in the Context of Deep Learning
Authors: Yang Linxi
Published: February 2024

In the 21st century, computer technology covers human daily life, including the field of music. This paper uses a quaternion algorithm to describe the gesture posture during piano playing. Combined with the iteratively updated and extended IU-EKF algorithm, it realizes the fusion of piano playing gestures to fix the posture. The recognized piano playing gestures are output to the chord fingering automatic annotation board, the piano audio signal data are preprocessed and input to the 3D space, the annotation area is allocated, and the chord fingering features are extracted using the Boltzmann machine. Through spectral analysis and empirical investigation, we analyze the sound quality effect of the two pianos and the audience’s listening experience. The results show that in the spectral analysis of the two pianos, the time-domain waveforms of the pianos played using the gestures proposed in this paper have durations ranging from 0.75s to 1.25s, and the waveform graphs present triangular shapes, which are better in terms of sound quality. The listeners’ melodic memory of the songs played by two pianos is the best for the two pianos of Chinese art and folk songs, Chinese art and Chinese pop, with the average difference of 5.7899 and 5.6345 respectively. The two pianos form of playing can satisfy the listener’s need of listening to the piano songs to a certain extent.
Exploring the Characteristics and Path of Internationalization Development of Vocational Education Based on the Information Diffusion Model
Authors: Wang Peisong , Cao Zhen
Published: February 2024

Internationalization of higher education has become an inevitable trend under the impetus of world economic integration and informationization. This paper adopts the information diffusion technique in the fuzzy information optimization method to construct an assessment model for internationalization development of vocational education. Explicit sample data are turned into fuzzy sets, information diffusion points are built using a two-dimensional average information diffusion model, and the estimated loss and probability distribution of information diffusion are calculated to assess the internationalization development level of vocational education. The constructed indicators set people’s awareness of the internationalization development of vocational education and the dissemination effect, analyzed the internationalization development trend of vocational education in the past five years by combining the Google search data, and explored the impact of internationalization development of vocational education based on the indicators of output level and quality level. The results show that the communication effects of internationalization of vocational education are all rated between (3.3, 3.6), and the attention to the internationalization development of vocational education has increased from 10% to 70% in six years. This study provides suggestions and strategies for advancing the internationalization of higher vocational education in China, which is conducive to steadily increasing the internationalization of higher vocational education in China and improving the level of schooling.
Study on the Path of Informatization Construction of Civic Education in Colleges and Universities Empowered by Digitization
Authors: Zhang Xuying
Published: February 2024

This study focuses on the informatization construction of ideological education, which is carried out in two modules, namely, teaching management and student education evaluation. Apriori algorithm in association rules is adopted in teaching management to improve teaching efficiency. Principal component analysis is introduced to construct a comprehensive evaluation model for student education evaluation, and SPSS software is used for dimensionality reduction to simplify the evaluation indexes. Further, this paper analyzes the status quo and challenges of the informatization of Civic Education in colleges and universities, and puts forward a specific path of informatization construction. To verify the effectiveness of the teaching method, a controlled experiment was set up, and through three months of practical teaching, the experimental group showed significant improvement in the Civic and Political scores and core dimensions, such as family and national sentiment and political identity. The results show that the informatization teaching practice has significant effectiveness in Civics education.
Study on the Path of Cultivating Rural Teachers under the Perspective of Rural Revitalization---Taking the Cultivation of Directed Teacher Trainees in Jiangsu Province as an Example
Authors: Wei Lijun
Published: February 2024

This study delves into the training of rural teachers, a core element of rural education revitalization. Focusing on the training of oriented rural teacher trainees and their willingness to arrive, this paper adopts a combination of structural equation modeling and double-stranded quantum genetic algorithm to deepen the understanding of influence pathways. The method successfully obtains a broader range of feasible solutions by introducing different prior knowledge. In this study, the improved structural equation modeling (SEM) was applied among oriented teacher trainees of different grades in six universities in Jiangsu Province, parameter estimation tests were conducted through SmartPLS, key indicator variables were established and empirical data were obtained through research. The results showed that teachers’ professional identity significantly positively affected the attitude of performance arrival, with a critical ratio value of 3.3469 and a substantial value of the unstandardized coefficient (P<0.001). In addition, it was found that the performance-to-post attitudes of the oriented teacher trainees were positively influenced by the satisfaction with the rural teacher job offerings. This study provides an essential decision-making basis for constructing a good training environment for oriented teacher trainees, which is of great significance for promoting the revitalization of rural education.
Study on Optimizing the Communication Path of Hunan Sports Culture Based on the Information Diffusion Model
Authors: Guo Cong
Published: February 2024

This paper takes the dissemination of Hunan sports culture as an example and analyzes its characteristics and development process in depth. By combining the continuous bag-of-words model and the Word2Vec model constructed by Skip-gram algorithm, this study determines the word vectors of the text data. It introduces the LDA theme model to reveal the implicit theme information in the document set. Based on this, a theme model of Hunan sports and cultural communication that mimics the spread of infectious diseases was constructed. By analyzing the information and comments collected from 2016 to 2020, this study identifies the theme keywords and explores the intensity change, sentiment tendency and drift path of different themes. The results showed that “spiritual and educational values” had the most remarkable combined intensity during the study period, with an average of 1.09, while “social values” increased over time, reaching a maximum intensity of 1.14 in 2020. A more pronounced negative sentiment characterized 2016-2018, 2018-2020 was marked by a more pronounced negative sentiment, and 2018-2020 by a more pronounced negative sentiment. Emotions were more significant, while positive and neutral emotions were more prominent in 2018-2020. Based on these findings, it is recommended to increase economic development and promote the spiritual connotation and educational value of Hunan sports culture through diversified communication to enhance the city’s soft power.
Inheritance and development of traditional sports culture in college physical education in the context of deep learning
Authors: Hou Jintao
Published: February 2024

This study focuses on the inheritance of traditional sports culture in physical education in colleges and universities, which is relatively weak in colleges and universities despite its rich connotation and national characteristics. The article adopts the back propagation algorithm in deep learning to shorten the distance between students and traditional sports culture and improve the inheritance effect. The inheritance critical value of traditional sports culture was calculated by exploring the inheritance effect of traditional sports culture from the three dimensions of cognition, emotion, and behavior, and combining the threshold value of information dissemination. The study further analyzed the inheritance value demand of different programs in colleges and universities based on students’ cognition of each traditional sports program. By comparing the inheritance scores of 20 colleges and universities, it reveals the differences in the effectiveness of different types of colleges and universities in the inheritance of traditional sports culture. The results show that students have the highest awareness of dragon boat as an item (0.6519), while the mean variance of betting plus and crossbow shooting are 47.245 and 17.862, respectively, indicating their importance in the inheritance needs of traditional sports programs in colleges and universities. Among the 20 studied universities, the 4th school had the highest classic sports culture inheritance effect score of 0.54. The study’s findings provide valuable data support and strategy suggestions for optimizing and enhancing the inheritance of traditional sports culture in universities.
Exploration and Practice of English Civics Teaching Design in Colleges and Universities Based on Big Data Analysis
Authors: Lyu Ruifeng
Published: February 2024

This study explored the cutting-edge methodology of integrating curricular Civics into teaching specialized disciplines in higher education, an essential trend for the future development of higher education. By applying data-mining algorithms, the article constructs a big-data analysis framework from the dimensions of students’ classroom behavior and performance. The fuzzy C-mean clustering algorithm was optimized using the cuckoo algorithm to effectively classify the characteristics of students’ behavior in the Civics classroom, and the attention-based hybrid encoder-decoder model was used to accurately predict students’ grades. After establishing a complete analytical framework, an innovative college English Civics teaching model was developed following the ASSURE teaching model. It was applied and analyzed for its effect in actual teaching. The study results show that, after the implementation of the English Civics and Politics course based on the ASSURE model, the average grade of the students increased by about 0.5 points. The grades were distributed between 80 and 95 points, significantly different from the pre-test grades (P<0.05). The prediction error was controlled to be less than ±2 points, which indicates that the teaching model had a significant teaching effect. This study not only improves English learning performance but also promotes the improvement of students’ performance in Civics, showing the great potential and value of integrating Civics curriculum into professional teaching.
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: Deng Gang , Hu Xinyue
Published: February 2024

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.
Literary Criticism Based on the Theory of Information Dissemination-The Spiritual Recasting of Cast Swords in Moonlight Chopping
Authors: Lin Meng
Published: February 2024

By reading and analyzing Moonlight Chopping and Cast Swords meticulously, this study reveals the polysemous textual world constituted by these two works, covering the mockery of dystopian realities, the inheritance of the spirit of vengeance, as well as the profound reverence for the essence of life. Web crawler technology is employed to obtain the textual content of Moonlight Chopping and Cast Swords, and the data is pre-processed. A corpus is constructed using a lexical algorithm. The in-depth extraction of thematic linguistic features of the two works is realized by combining Gibbs sampling and EM algorithm to accurately estimate the parameters of the LDA topic model. It is found that Moonlight Chopping and Cast Swords show significant correlation on the story and ideological level, but apparent differences in story focus, expression form and aesthetic style. Specifically, the average sentence length of Moonlight Chopping is only 1.18 units longer than Cast Swords. At the same time, its STTR value is only about 4.3% higher than Cast Swords, indicating that Moonlight Chopping has successfully achieved subtle thematic differences while maintaining the vengeful narrative style of Cast Swords, demonstrating a profound transformation of traditional culture and historical continuity.
Research on the Evaluation and Enhancement Strategies of College Students’ Health Human Capital in “Healthy Hunan” under the Background of Big Data
Authors: Mu Hongsheng , Nie Huiping
Published: February 2024

This paper precisely explores the structure and characteristics of college students’ healthy human capital and its influencing factors. It aims to enhance students’ positive and healthy mindset and promote optimism in life and learning. A solid analytical framework is constructed by sorting out the ordered multicategorical logistic regression model and parameter estimation methods and the application steps of the propensity score matching model. College students from ten colleges and universities in Hunan Province were selected as research subjects, and a questionnaire was designed to assess their healthy human capital. The specific factors affecting college students’ healthy human capital accumulation were analyzed in depth through the probability density analysis of propensity score matching, standard support hypothesis testing, and the parallel line test and regression results of the ordered multicategorical regression model. The findings show that the curves of the experimental and control groups after propensity score matching almost overlap in the [0.2,0.4] interval, indicating the method’s validity. A more important finding is that the number of college students with poor self-assessed physical health is 8.063 times higher than that of college students with self-assessed mental health as good, which emphasizes the significant impact of mental health on healthy human capital. Therefore, to effectively improve the health human capital of college students, students, families and universities must form a linkage mechanism and work together to cultivate college students’ health awareness.
Research on the Path Construction and Practice of Bidirectional Cultural Mutual Guidance in Higher Vocational English Course Civics Teaching under the Background of Big Data
Authors: Xu Yuanyuan
Published: February 2024

This study delves into the effective integration of bi-directional cultural intercultural instruction with Civic and Political teaching in a higher vocational English course and analyzes it with an association rule mining algorithm. By screening the weighted candidate itemsets through the weighted support degree model, the study identifies the itemsets’ positive and negative correlation attributes and mines the association rules between English teaching and students’ bidirectional cultural interduction ability by combining with the decision support model. The article also analyzes the content of Civics and Chinese and foreign cultural elements in the English curriculum. It compares and examines the changes in students’ two-way cultural core literacy and its introduction effect. The results of the study show that after the bi-directional cultural Civics teaching in the English curriculum, students experienced significant changes in worldview, values and Chinese and foreign cultural cognition, with t-values of −4.312, −5.034, and −4.275, respectively, and p-values of less than 0.001. In addition, the students’ bi-directional cultural communication competence improved significantly, with scores ranging from 3.8 to 4.3. The study provides valuable insights into the promotion of Chinese-foreign cultural communication and the reform of higher vocational English teaching.
The Construction of English Smart Teaching Platform for Colleges and Universities Based on Deep Learning under the Core Idea of Functional Linguistics
Authors: Yan Dan
Published: February 2024

This study explores the application of intelligent teaching in higher education, especially for the digital transformation of English learning. Relying on online English teaching resources, the article successfully constructs an innovative teaching platform for English teaching in higher education by integrating advanced tools such as deep learning technology, clustering algorithms, and Rasch models. The platform takes students’ self-management awareness as the core. It emphasizes teachers’ evidence-based teaching ability, while considering multidimensional factors such as teaching environment, emotions and characteristics to provide a comprehensive and interactive learning environment. Through in-depth analysis of the application effect of the platform, the study found that students’ agreement in all five key dimensions exceeded 0.24, especially in the teaching emotion dimension with the highest deal of 0.2970, and the results fully proved the significant role of the intelligent teaching platform in enhancing learning effect and stimulating learning interest. This study successfully realizes the efficient interaction between teachers and students. Also, it lays a solid foundation for constructing a natural, harmonious and energetic bright English teaching environment, which is of great theoretical and practical significance for promoting the modernization and transformation of the education and teaching system.
Gray correlation analysis of the big ideology and politics course and academic style construction in colleges and universities oriented to the three-whole-parenting approach
Authors: Yu Qi
Published: February 2024

Academic style, as the core of college culture, has a decisive impact on the development of schools. This paper adopts the gray correlation algorithm and introduces the sequence of dynamic discrimination coefficients to improve the flexibility and accuracy of the analysis. Through the improved gray correlation method, 11 factors affecting the construction of academic style in colleges and universities are studied. The results showed that teachers’ professionalism and teaching methods (15.23), individual students (11.34), social environment (9.51) and teachers’ teaching and management level (7.21) were the main influencing factors. This study provides data support for educational administrators and schools to formulate relevant strategies to promote the construction of excellent school spirit.
The Practice of Refined Management of Office Reception Work in the Era of Artificial Intelligence
Authors: Zhang Yuefang
Published: February 2024

While discussing the importance of office reception work, this article emphasizes the key role of fine management in improving work efficiency and service quality. Against the background of the artificial intelligence era, the article successfully constructs a framework for an office reception work management system by utilizing cutting-edge React and Express technologies. The system not only carries out meticulous module design based on functional requirements, but also proposes a personalized recommendation algorithm integrating clustering and collaborative filtering by optimizing the Similarity of user characteristics and item attributes for joint filtering recommendation to achieve more humanized reception services. To verify the system's effectiveness, this study conducted an application analysis using University Q as a case study. The analysis results show that from 2008 to 2022, the indices of reception preparation, knowledge of reception work, staffing, business skills of reception staff, work attitude and work detail control have been significantly improved, with an increase ranging from 32.0761 to 37.1677, indicating that the management level of office reception work is constantly optimized and shows a rapid growth. This innovative office reception work management system not only realizes refined management, but also comprehensively improves the service efficiency and comprehensive management level, which provides a valuable reference for the management of similar work.
Dynamic Stepwise Carbon Trading Game Scheduling with Accounting and Demand-Side Response
Authors: Zhong Ming , Yu Jingjing , Xiao Jun , Wang Jun
Published: February 2024

With the help of cooperative game theory, this study constructs an integrated demand response economic game scheduling model for carbon trading, aiming to maximize collective and individual benefits. The model effectively reduces the system operating cost by adjusting the electricity price to incentivize PDR-VGU output. The impacts of price demand and integrated flexible operation demand on the coordination degree of carbon trading and the optimized dispatch results under different scenarios are analyzed in depth. It is found that when considering the carbon trading mechanism, the system operating cost and carbon emissions are reduced by RMB 2,129 and 9.63 tons, and RMB 2,350 and 11.96 tons, respectively, showing a win-win situation in terms of economy and environmental protection. In addition, the energy time-shift strategy implemented in the carbon capture power plant system effectively balances the peak-to-valley difference of thermal power output, further reducing the cost.
Research on Visualization Teaching of Art and Design in Colleges and Universities Combining 3D Modeling Technology
Authors: Zhang Yanli
Published: February 2024

This paper discusses constructing 3D modeling process for art and design works using 3D display technology and SIFT feature algorithm. Firstly, the pictures with different angles are obtained by changing the geometric information of the graphics and determining their positions in 3D space. Then the lighting model and texture mapping are used to enhance the realism, and the feature points are extracted in combination with the SIFT algorithm to determine the angle of the pictures. An initial 3D model is generated by image silhouette convergence, which corrects the image segmentation several times to complete the modeling. In addition, the study applies the modeling technique to the visualization teaching of art design, and verifies the teaching effect through students’ attitude and practical performance. The results show that most students have positive attitudes towards visualization teaching, especially in Class 2 and Class 15, where the favorite rate reaches 65%. Under this teaching method, students can flexibly utilize the design elements to create diversified art works.
Research on practical teaching of innovation and entrepreneurship training program for college students based on big data analysis
Authors: Huang Rong , Chen Qi , Lu Liang , Chi Xiaofeng , Zheng Dan , Ding Yi
Published: February 2024

This article explores how digital technologies such as big data and cloud computing promote college students’ innovation and entrepreneurship, especially the impact of innovation and entrepreneurship training programs on college students’ entrepreneurial intentions. The article adopts big data analysis techniques to screen variables, set research hypotheses, and use partial least squares regression to quantitatively analyze the correlation between university innovativeness and training programs. It was found that the number of university intellectual property rights was significantly associated with the objectives of the training program, with a regression coefficient of 0.069. Further, the article pointed out that most students believed that the regulation of the research segment was the weakest. Therefore, the article suggests improving the training program supervision system, significantly strengthening the supervision of the research session, and also explores the correlation between academic professional factors and faculty guidance.
Trends and Prospects of Ecodesign in Urban Landscape Design in the Context of Artificial Intelligence
Authors: Cai Sisui
Published: February 2024

This study accurately assessed the overall ecological landscape condition of the city through the environmental landscape pattern index, and specifically explored the NP, LSI, and PD indices of construction land, cultivated land, forest land, grassland, water, and other land. Adopting advanced artificial intelligence and virtual reality technologies, this paper successfully constructs a 3D visualization scene of the urban landscape, which provides a vivid and intuitive perspective for urban planning. Further, based on the planning and design framework of urban landscape ecosystem, this paper clarifies the ecological evaluation elements and landscape design indexes, and uses VR technology to optimize the design of environmental aspects of urban streets. By establishing an optimization strategy database, this paper conducts an in-depth correlation analysis between the optimization scheme’s design indicators and evaluation factors. Comparing the comprehensive ecosystem service area before and after optimization, the results show that applying VR technology in ecological landscape design is highly effective. The integrated ecosystem service area before and after optimization increased from 7611.72m² to 8039.51m², of which the integrated ecosystem service area of “general” grade increased by 324.03m², showing the best effect of ecological optimization. The research in this paper provides scientific basis and technical support for ecological landscape design and new ideas and methods for future urban environmental planning and construction.
A Study on the System of Cultivating Core Literacy of Science Education Teacher Trainees Based on the Background of Deep Learning
Authors: Cao Yang , Gong Chunyan
Published: February 2024

This paper aims to develop the IDL-C system to cultivate the professional core literacy of science education teacher trainees through deep learning technology and science education theory. The authors constructed a model for assessing the effectiveness of core literacy development containing multiple algorithms to determine the system’s effectiveness. They conducted an empirical study using the example of Science Education College in S city. The values of teacher trainees in clustering as good and excellent are relatively close to each other, 0.4480 and 0.4246 respectively, and their cultivation effect is approaching from good to excellent, and the total score of the measurement = 0.685 × “Civic and Political Literacy” + 0.411 × “Foundation Literacy” + 0.091 × “Practical Literacy” + 0.111 × “Innovative Literacy”, which is most related to the cultivation of Civic and Political Literacy. The study not only enhances the core literacy of science education teacher trainees, but also promotes the modernization and reform of science education.
An innovative approach to corporate HR training based on deep learning
Authors: Chen Xiaoxu , Chen Hanyang , Xu Jinhua
Published: February 2024

This article constructs an enterprise human resource training system based on the DACUM method, aiming to solve the critical problems in enterprise training. The article improves the training effect by optimizing the training process, establishing an effective assessment mechanism, and perfecting the feedback and incentive mechanism. Aiming at the limitations of the DACUM method in training guidance, the article introduces a rough support vector machine to categorize the dimensions of competency factors. It constructs an employee effectiveness evaluation model by calculating the weights. Combined with data mining techniques, it provides decision support for managers. The results show that the optimized training system significantly improves employees’ innovative behavior, psychological capital and job performance, in which the regression coefficients of creative behavior and psychological capital are 0.593 and 0.404, respectively. The degree of explanation of job performance in the three dimensions of task, relationship, and dedication is 18.8%, 32.7%, and 30.9%, respectively, which verifies the effectiveness and practical value of the training system.
Exploration and Practice of the Integration and Development of Educational Technology and Teaching in Colleges and Universities in the Context of Educational Informatization
Authors: Luo Yuenian
Published: February 2024

In the context of education informatization, this paper discusses how to deeply integrate advanced educational technology with traditional teaching. By constructing a blended teaching model with the goal of deep learning and using linear regression, decision tree and other algorithms to build a data analysis framework, this paper aims to assess the practical application effect of educational technology in universities. The empirical study explores the development of deep blending between educational technology and teaching by taking the Information Technology Course of University J as an example. The results showed that after the teaching, the posttest mean of profound learning ability of students in the mixed, online, and offline groups were 1.948, 0.182 and 0.065 higher than the pretest mean, respectively. z-values ranked in the top three were the perseverance of students in the mixed group (-12.642) and the ability to think creatively (-11.682) and critically (-9.875), which were higher than those of students in the online group and the offline group, the overall profound learning ability of students in the mixed group was effectively improved, which verified the effectiveness of the blended teaching model proposed in this paper.
Internal Audit Evaluation and its Optimization in Universities under the Great Intelligence and Cloud Technology
Authors: Yan Zhenzheng
Published: February 2024

This study delves into the critical role of Dazhimian technology in enhancing the evaluation of internal audit in universities and its optimization process. Firstly, a balanced scorecard-based internal audit performance evaluation system for universities was constructed, which covers four dimensions, namely, functional performance, service object, internal management process, learning and growth, and is further refined into 25 evaluation indexes. Then, the entropy weight-TOPSIS evaluation model was used and combined with actual data for empirical analysis, thus effectively measuring internal audit performance. Specifically for the case study, College F as a research subject shows significant performance improvement. The functional performance weight is as high as 0.3574, significantly higher than other dimensions, reflecting its outstanding performance in improving internal audit performance. Comprehensively analyzing the horizontal and vertical comparisons, HEI F has been improving its internal audit performance and its relative closeness is leading in all dimensions. In addition, we find that the quality of internal auditing in HEIs has a significant positive impact on profitability, operational capability and sustainable Development, further confirming the importance of optimizing the internal audit system. This study provides an effective technical tool for evaluating internal audit and its optimization in universities and valuable references and lessons for other universities.
Research on the Influencing Factors of Cross-border E-commerce Development of Fresh Agricultural Products under the Internet Environment
Authors: Chen Haifei
Published: February 2024

This paper analyzes the current situation of cross-border e-commerce of fresh agricultural products in China regarding import and export trade, e-commerce development and logistics services, and summarizes the existing problems and influencing factors. Through the establishment of AHP-fuzzy comprehensive evaluation model, according to the established index system, the weight of each index factor is determined by using hierarchical analysis, and the importance degree of the influencing factors is calculated using fuzzy comprehensive evaluation method. The results show that among the primary indicators, the supply of fresh agricultural products has the highest influence, with a score of 4.49. Among the secondary indicators, the quality of new farm products and cross-border e-commerce trading platforms have a very high degree of influence, with scores of 4.714 and 4.518, respectively. The study provides a vital decision-making support for optimizing the development of cross-border e-commerce for fresh agricultural products.
Research on Intelligent Development and Practice of Accounting Laboratory Courses in Colleges and Universities in the Context of Interdisciplinary Cooperation
Authors: He Yuanyuan
Published: February 2024

In this paper, an innovative solution is proposed to address the problems of single content design, lack of relevance and specialized training in traditional accounting laboratory courses. In interdisciplinary cooperation, an efficient intelligent assistance model for accounting laboratory courses is constructed by combining the collaborative filtering recommendation model and K-Means clustering algorithm. The model significantly improves the recommendation accuracy and computational efficiency by optimizing the cosine similarity calculation and introducing the similarity-weighted average, combined with the enhanced dichotomous K-means algorithm. After dataset testing and practical application verification in a university, the model effectively improves the quality of personalized recommendation of teaching resources. In particular, students’ mastery of knowledge points K2 and K3 is more adequate through the model recommendation, while their mastery of K8 is significantly improved. In addition, the model successfully identifies the similarity between students, which lays the foundation for providing more personalized learning resources. Overall, the model solves the traditional problem of accounting laboratory courses and provides a practical methodology for intelligent recommendation of teaching resources in universities.
Digital Health Oriented Quality Grading and Evolutionary Study of International Trade Development
Authors: Chen Kesheng , Chen Jianghao
Published: February 2024

This article explores the impact of digital technological advances on international trade exchanges, notably regarding trade costs and barriers. The article first constructs a trade development measurement model for global trade costs and barriers, and analyzes in detail the development quality of international trade using a threshold effect model. In addition, a model for the development potential of international trade is constructed, and the evolution of its spatial pattern is investigated through global and local Moran indices. The empirical Analysis shows that the regression coefficients of economic level, trade potential and trade barriers are 0.228, 0.661 and −0.110, respectively. Analyzing from a macro perspective, the development quality of China’s international trade shows an upward trend between 2012 and 2022, with an overall improvement of about 38 percentage points. This result indicates that improving economic level and trade potential helps to promote the improvement of the development quality of international trade. In contrast, trade barriers may have an inhibiting effect on the development of international trade. By scientifically calculating the quality of international trade development and data visualization of its development process, the article provides effective ways and methods for the Analysis and research of international trade development.
Digital Technology Drives Changes in the Communication Order of Hunan Sports and Culture
Authors: Ma Rui , Xia Dong
Published: February 2024

In the rapid development of digital technology, it has become urgent to explore the order change and development strategy of sports culture communication. This study extracts and analyzes the factors affecting the order change of sports culture communication through partial least squares regression and nearest neighbor component analysis. It was found that between 2016 and 2023, the communication channels, contents and audience order of sports culture in Hunan changed significantly, in which the traditional media communication accounted for 82.52% in 2016, while 81% of the residents accessed sports information through WeChat (26.22%), microblogs (27.73%), and computer webpages (26.78%) in 2023. In 2018 and 2019, the proportion of sportsmanship culture in the overall sports culture communication content is 40.77% and 38.87%, respectively. The development suggestion model in this paper provides an essential reference for the future order change of sports culture communication in Hunan region.
Research on the Integration Path and Practice of AI Intelligent Technology and English Teaching Reform in Higher Vocational Colleges and Universities
Authors: Yu Junli , Wang Lirong
Published: February 2024

The application of artificial intelligence technology in language learning, especially English teaching, is subverting the traditional learning mode. This paper discusses in depth the innovative strategies of English practical teaching in higher vocational colleges. It introduces an AI-assisted teaching system that synthesizes the reasoning mechanism, the student independent learning system and the mathematical model of knowledge forgetting. Through practical application, this study verifies the effectiveness of the system. The results showed that the grades of all students who used the AI system and had an average score of more than 60 did not decrease. There was a significant linear relationship between students’ engagement and grade improvement, indicating that the more serious the students were, the more influential the grade improvement was. In addition, there is a positive correlation between exam difficulty, passing rate and the number of high scores, and a negative correlation with the number of scores below 60, which verifies the reasonableness of the correlation coefficient. Students’ foreign language learning pleasure, burnout and self-efficacy have significant mean differences between the two classes, with p-values less than 0.05, indicating substantial differences. These findings confirm the effectiveness of the AI-assisted teaching system and provide valuable references for future teaching models.
Promoting Educational Reform to Enhance Talent Cultivation Quality of Civil Engineering Majors Based on Deep Learning Background
Authors: Zhu Meng , Zakaria Sharifah Akmam Syed , Wang Chenyu
Published: February 2024

This paper focuses on improving the quality of talent cultivation for civil engineering students through reforming teaching quality and course selection management. Regarding teaching quality management, the article proposes to use improved Apriori algorithm to generate high interest rules and utilize SQL for effective data manipulation. Regarding course selection management, the content-based recommendation algorithm is used to optimize the course selection mechanism. After the implementation of the reform, the proportion of low scores in the self-quality evaluation of college students was significantly reduced, and the evaluation indexes of teachers also showed significant differences. In addition, employers were satisfied with the competence of civil engineering graduates. These results indicate that data-driven teaching management and personalized course selection recommendation can effectively improve education quality and student satisfaction.
Research on Optimization Method for Fault-Tolerant Integration of Real-Time Dual-Computer Embedded Systems
Authors: Lu Borong , Yang Jianhao , Li Xiaolong
Published: February 2024

This paper addresses the fault-tolerant performance of real-time dual-computer embedded systems. The article first emphasizes the importance of real-time and reliability in various fields and points out that improving fault-tolerant performance is a crucial topic. Based on the Markov chain algorithm, the study optimizes the fault-tolerant integration method for real-time dual-computer embedded systems. By constructing a model of Markov algorithm and using the deadline of the task as a benchmark, the passage and transfer probabilities of faults are calculated. The article also provides algorithmic proofs of fault-tolerant control of Markovian jump systems and calculates their stability levels. The results show that the fault passage rate of the system increases as the number of complex tasks increases, e.g., when the number of complex tasks is 4, the passage rate can reach 90%. In addition, in the scheduling test, it was found that the schedulability of the system increases with the increase in the number of processors. When the number of processors reaches 5, the system's schedulability is 43%. In conclusion, the system fault tolerance optimization method based on Markov algorithm proposed in the article can effectively improve the reliability and fault tolerance of the system.
Mechanical Automation Design and Manufacturing of Production Equipment Combined with Artificial Intelligence Technology and Algorithm Implementation
Authors: Bai Jie , Zhang Shuling
Published: February 2024

This paper explores the impact of artificial intelligence and machine automation on productivity. It focuses on analyzing the production model of machinery automation based on Petri nets. Through the invariant analysis method, the article constructs a model and presents its structure as a correlation matrix. The study results show that the model has an error rate of only 2.26% and an accuracy of 90.14% in terms of operational performance. Regarding time performance, its training time is 3854 seconds and response time is 351 milliseconds, which are better than other algorithms. In the practical application of automotive parts production, the method significantly reduces the busy probability and blocking probability during order processing and material delivery, and also improves the equipment load rate, waiting rate and blocking rate in the production process. This indicates that the Petri net-based method of machine automation production has significant advantages in improving productivity and reducing costs.
An Intelligent Control Method for Industrial Equipment Based on Distributed Electrical and Electronic Architecture
Authors: Han Xiaodong
Published: February 2024

The article establishes the objective function of distributed electronic and electrical architecture from three dimensions of economy, quantization and loadability, and constructs a mathematical model for multi-objective optimization based on the satisfaction of constraints. The model was applied and tested in the intelligent control system of automotive industrial equipment. In practical applications, the intelligent control system can automatically reduce the speed to 16km/h to maintain a safe distance and prevent collision when the target vehicle is monitored to enter the lane it is in and the distance between the two cars is less than 30 meters. Under 1500 pcu/h traffic flow conditions, the average delays of vehicles at the intersection through intelligent control were only 8.06 seconds and 8.02 seconds, compared to 20.58 seconds and 23.29 seconds for vehicles under conventional control. Vehicle intelligent control systems based on distributed electronic and electrical architectures have great potential for development and significant safety performance improvement in automotive industrial equipment manufacturing. The research in this paper provides a new perspective and adequate technical support for the intelligent control of future industrial equipment.
Research on automation control technology of electrical and electronic equipment combined with integrated wireless module
Authors: Han Xiaodong
Published: February 2024

This paper discusses the critical impact of informatization automation on plant automation, and takes a water plant’s coagulation dosing automation control system as an example to explore the value of integrated wireless modules in the automation of electrical equipment. Algorithms for directly identifying the parameters of the second-order continuous model by regression model and based on the step response data are investigated, as well as the selection of the DMC algorithm for mathematical modeling of the coagulation dosing automation control. Finally, the effectiveness of the automated dosing system was verified by comparing its effectiveness in improving the qualified rate of precipitation water quality, reducing drug consumption and effluent turbidity, and improving stability. The study’s results showed that after using the coagulation dosing automation system, the water plant’s sedimentation water quality pass rate was increased from the original 85%~95% to 95%~100%. The drug consumption and effluent turbidity were reduced by 20.3% and 33.09% respectively, while the stability was also improved to different degrees. The coagulation dosing automated control system can dosage chemicals more accurately, safely and stably, which has specific reference value for developing the water purification industry.