bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Evaluation Method of Online Learning Satisfaction of College Students Based on Hierarchical Analysis Approach
Authors: Ji Yiping , Zhernovnykova Oksana
Published: January 2024

This paper adopts the hierarchical analysis method as the weight calculation method for the evaluation of online learning satisfaction, calculates the weights between the evaluation indexes, and constructs the evaluation system of college students’ online learning satisfaction. Combining the teaching experience, the characteristics of online teaching and the items recorded in the web logs in the online teaching platform, the judgment matrix for online learning satisfaction evaluation is established, and the reasonableness of the matrix is judged by the consistency checking method. Evaluation standards are formulated based on the online learning evaluation information, and the research on online learning satisfaction evaluation is designed, while the online learning satisfaction evaluation of college students is analyzed by using the method of statistical analysis. The results show that the comprehensive learning evaluation scores derived from the use of hierarchical analysis are significantly more objective than the traditional evaluation of students’ learning effectiveness using only the end-of-term test scores, with a score difference of 15, and more than 85.24% of the students based on the hierarchical analysis method of college students’ online learning satisfaction evaluation method, which is effective in promoting the students’ regular participation in online learning. The correlation coefficients of online learning experience with clarity of teaching goals and expectations, teacher-student communication and exchange, learning support services, learning motivation, learning hardware equipment and operability, and teaching methods are 0.491, 0.524, 0.435, 0.596, 0.542, 0.391, respectively, which are all significant at 1% level, i.e., only by guaranteeing a higher level of learning effect can we improve students’ satisfaction with online learning.
Research on Development and Protection of Cultural Heritage Tourism Resources in the Age of Artificial Intelligence
Authors: Cheng Li
Published: January 2024

This paper constructs the basic framework of the spatial pattern analysis method of historical, cultural heritage with the relevant technology of artificial intelligence and analyzes the spatial pattern of historical cultural heritage through spatial correlation analysis. ArcGIS and FineBI software are used to carry out correlation analysis on the degree of spatial aggregation, spatial distribution density, and related point and line distribution of cultural heritage tourism resources so as to derive the spatial distribution characteristics of cultural heritage tourism resources. Shanzhou Region, Sanmenxia City, Henan Province, is taken as the research object to empirically analyze the development and protection of its cultural heritage tourism resources. The results show that the values of global autocorrelation Moran’s I of spatial mismatch of cultural heritage tourism resources are all positive, and the mean value of Z(I) is 6.07956, P(I)<0.05, indicating that the spatial mismatch index of cultural heritage tourism resources at the city level has a significant spatial clustering tendency and an obvious clustering tendency. This study offers scientific suggestions for the development of cultural heritage resources in tourism, and it is also crucial for the development of Chinese cultural heritage sites.
Effective Integration of Ideological and Political Education and Student Management in Colleges and Universities Based on the Coupled Coordination Model
Authors: Li Qingsong , Shu Xiaoqin
Published: January 2024

In keeping with contemporary demands, the integration of political and ideological education with student management empowers students to actively embrace the establishment of a superior ideological culture in a more open and laid-back learning environment. The creation of an extensive index system enables the integration and collaboration of political and ideological instruction and student management duties in colleges and universities. The theory of system coupling is used to discuss the level of synergy and consistency of system development. The subjective empowerment method uses the FIAHP technique to determine the subjective weight of the standard. The objective weight of the indicator is determined by using the pull-out grade method. The LPE-SMW coupling coordination model is constructed by combining the weights of the two indexes to solve the weights. The coupling coordination level is evaluated and examined in order to confirm the efficacy of the coupling coordination model in examining the development and integration between political and ideological education and student management in colleges and universities. The coupling degree of coordination in the eastern region is approximately 0.65, and the degree of coupling coordination of the LPE-SMW in the central region has a mean yearly increase of 0.43% over the 20 years, according to the results of the smoothness test of each variable of the LPE-SMW linking coordination degree model, which shows differences at the 1% level. The linking coordination model offers a fresh approach to the creation of successful integration between political and ideological education and student management in higher education by offering a thorough examination of the relationship between the two.
Research on Role Orientation and Situation Construction of Contextualized Music Performance in the Background of Artificial Intelligence
Authors: Duan Jinlan , Zhong Qi , Fan Hao
Published: January 2024

In this paper, the Skip-gram model is used to process the main melody information of contextualized music, combining feature extraction and Schenkel analysis to extract the main melody note sets and vectors. By applying the short-time Fourier transform (STFT) to the audio signal, the spectral center of mass and irregularities can be calculated to represent the emotional features of the music. To obtain music features based on wavelet coefficients, the music signal is decomposed, and each scale’s signal features are counted individually. Finally, by taking the musical elements as independent variables and the perceived results of pleasure and activation in the contextual model as dependent variables, we compared the variability of the dynamic associations between emotional perceptions and the musical elements among different contextualized music pieces. The results showed that the overall differences in emotional cognition across musical performances ranged between ±0.5, with the mean short-term energy amplitude of relatively cheerful music ranging between ±0.2, which was smaller than that of angry (±0.3) and sad (±0.5) music. In this study, musical works were accurately characterized, and their expressive and infectious power was effectively enhanced through contextual construction.
Coordinated Development of Civic Education and Student Management in Colleges and Universities Based on PLSPM Modeling
Authors: Du Song
Published: January 2024

This paper constructs a satisfactory coordination and optimization model of ideological education and student management in colleges and universities, designs the relationship between ideological education and student management in colleges and universities, and establishes the index system as well as the mathematical model of coordinated development. Based on the modeling steps and the quantile effect of the PLSPM model, PLS path modeling is carried out using the Poor man method, and the PLS path model is empirically analyzed using the Patch method. Sample data on Civic Education and Student Management in colleges and universities were collected to conduct model testing and research hypothesis testing and to determine the coordinated development index of the university. The 452 valid data from Northeast Agricultural University are used as an example for the optimization analysis of the degree of satisfaction coordination between civic education and student management in colleges and universities and the values of the degree of satisfaction coordination between civic education and student management in the school are 0.876 and 0.769, which are both more than 70%, and the development is relatively good. The result of the satisfaction coordination index measurement is 0.847, which indicates that the school’s Civic and Political Education and Student Management are both developed in a coordinated manner.
An Inquiry into the Translation of English Literary Metaphors Based on Text Mining Techniques
Authors: Jiang Xiaochun
Published: January 2024

In this paper, the vector space model is used to convert the English literature text to be processed into a feature vector composed of feature items, and after adding weights to the feature items, it is composed into an N -dimensional space. After calculating the text similarity using the vector angle cosine, the knowledge base of English literature metaphors and an automatic recognition model are constructed by combining them with a Bayesian classification algorithm. Starting from the research purpose, we determine the research object and tools and analyze an example of English literary metaphor translation through the combination of simulation analysis and statistical analysis. The results show that the running speed of NBC is 10.2% faster than that of CFC, the speed of SOFMC is 70.1% faster than that of CFC, the accuracy rate of NBC is 32.8% higher than that of SOFMC, and that of CFC is 41.8% higher than that of SOFMC, and in terms of the combined running speed and accuracy rate, NBC performs better than SOFMC and CFC, i.e., it shows that the Bayesian classification algorithm is useful for dealing with English metaphor recognition and Chinese translation with excellent performance. In terms of lexical translation accuracy, the translated English literary metaphor texts with labeled lexical categories are significantly higher than the translated English literary metaphor texts without labeled lexical categories, with a difference value of 6.31%. This study extends the scope of cognitive linguistics research and offers a guiding reference value for translating English literary metaphors.
Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
Authors: Ren Xuebing , Xie Hua
Published: January 2024

Labor education in colleges and universities in the new era is an important prerequisite for the comprehensive implementation of the fundamental task of establishing moral education and the comprehensive development of students. This paper mines the connotation of labor education based on the method of multivariate statistics and constructs a factor analysis model of the connotation of labor education by using the method of factor analysis and cluster analysis combined with the principle of dimension selection. The correlation coefficient matrix is utilized to depict the relevant variables of labor education and to assess the correlation between these original variables and the factors. KMO and Bartlett’s spherical test are used to test the reasonableness of connotation factors in labor education. The results show that the cumulative contribution rate of the first 4 factors of the connotation of labor education, i.e., labor concept, labor ability, labor spirit, and labor habit, are all 70.575%, and the variance contribution rate of the first component before rotation is 44.231%, which accounts for a large part of the total variance contribution rate of the 4 principal components. It indicates that the first four factors of labor education can be considered the main dimensions of education. The research in this paper can promote the development of labor education in colleges and universities to a certain extent and provide a new reference for labor education.
Study on the Development Prospects of China-Japan Trade in the Context of Global Value Chains
Authors: Li Bowen , Li Xianrui
Published: January 2024

This paper proposes a value-added trade measurement model after a specific analysis of the extent of China and Japan’s participation in GVCs, the mode of participation and the status of division of labor, and the characteristics of the participation structure. Combined with the ratio of value-added to total exports, China is compared with major trading countries to study China’s level of value-added in GVCs, trade characteristics, and the proportion of China’s industry-wide development. Combined with the WIOD data, based on the model proposed in this paper, the bilateral trade interests of China and Japan, the bilateral export value, and the trade interest rate of both sides are measured from 2000 to 2014. The classification method of HS commodity code is used to extract the trade data of important time nodes between China and Japan and analyze the development of the structure of commodity trade between China and Japan. It measured that in 2014, the trade interest rate of China to Japan was 81.95%, and the export of 172.911 billion dollars contained 141.707 billion dollars of trade interest. Japan’s trade benefit rate to China was 73.94%, with $95.615 billion of trade benefits included in $129.314 billion of exports. It shows that as of 2014, China has replaced Japan in the bilateral trade between China and Japan to occupy a relatively favorable position, indicating that the international division of labor between China and Japan has gradually shifted from a vertical division of labor to a horizontal division of labor.
Digitization of Civics in College Physical Education Courses Based on the Correlation Matrix
Authors: Liu Jing , Si Jingmei
Published: January 2024

In this paper, after the extraction of teaching resource features by mutual information method, the classification of Civics teaching resources is realized by constructing a decision tree classifier. According to the current situation of Civics education in university sports courses, the set segmentation correlation function is determined, the contribution of each factor is combined using the correlation matrix, the correlation coefficient weights are calculated, and the design of the Civics multimodal corpus is accomplished based on big data technology. Nine universities in Guangzhou City were selected as the objects of this study, and the research data were obtained through questionnaire surveys of physical education teachers in these nine schools. SPSS26.0 and Origin 2019 software were used to study the Civics and Politics of Physical Education Courses in Colleges and Universities. The results show that the convergence speed of the objective function of the algorithm in this paper and the classification accuracy has been improved substantially, compared with other algorithms, by about 0.3 to 0.7, i.e., it shows that the algorithm in this paper has a good performance of classification of the course Sijian. The scores of national sentiment and sports core literacy are 0.76 and 0.76, respectively, with a rank of medium (less than 0.79), and the score of physical and mental health is 0.82, with a rank of high (greater than or equal to 0.8). That is, the public physical education (volleyball) class has a relatively satisfactory effect on the cultivation of students’ physical and mental health, while there is still room for progress in the cultivation effect of family and national sentiment and sports core literacy. This study supplements, to a certain extent, the lack of an evaluation index system for the effect of sports courses’ ideology and nurturing and promotes the better development of public sports courses’ ideology.
Research and Application of Performance Pay Platform Construction for College Teaching Staff Counting and Multi-scale Feature Fusion Networks
Authors: Yuan Weiwei
Published: January 2024

In this paper, a multi-scale feature fusion network is constructed by combining U-Net and Densebox algorithms, and feature extraction is performed by the deep residual network (ResNet). Taking colleges and universities as an example, a teacher reputation incentive model combining a multi-scale feature fusion network is established based on marginal productivity. The multi-scale feature fusion network is proposed to be used to realize the employee performance measurement level and personal appraisal system in the salary performance appraisal platform for teachers in colleges and universities. The appraisal test analysis of the teacher team’s performance and salary was carried out with the teacher team of School G as an example. The results show that the starting salary points of B1, C1, and D1 of the teacher team of school G are 2250, 1650, and 1260, respectively, in which the median difference in salary value between the highest grade B1 (9618) and the lowest grade I2 (784) is 8834 yuan. The performance pay management platform constructed in this paper effectively provides incentives and promotes the high-quality development of the university teaching team through strict assessment and fair distribution.
The Connotation of Objectives and Hierarchical Orientation of Teaching English and American Literature Based on the Era of Big Data
Authors: Zhu Xiaoguang
Published: January 2024

This paper combines the knowledge structure of English and American literature and learners’ personalized knowledge characteristics to design and propose personalized teaching based on a genetic algorithm. Genetic algorithms are used to extract learner characteristics, and content-based recommendation algorithms are applied to match ability characteristics, goal characteristics and learning object characteristics to achieve personalized course teaching. The crossover probability, variation probability, selection operator and crossover operator of the genetic algorithm are determined, and simulation experiments are designed to analyze the optimization effect of its parameters. Setting three levels of colleges and universities, with the connotation of the objectives and level positioning of English and American literature teaching, i.e., reading experience, reading knowledge, reading method, and the cultivation of cultural connotation and humanistic sentiment as factors, a one-way ANOVA was carried out to examine whether the teaching objectives of different levels of colleges and universities differed significantly in personalized teaching. In terms of the highest level of the teaching objectives of English and American literature, i.e., the cultivation of humanistic sentiment, F=6.607, Sig=0.002, 985 colleges>211 colleges and universities, and general undergraduate schools>211 colleges and universities.
The Logical Mechanism and Practical Progress of Digital Economy Contributing to Rural Revitalization in the Context of Big Data
Authors: Liu Wenju , Song Shuang , Yao Ximin , Miao Yuqing
Published: January 2024

This paper proposes spatial data mining and clustering analysis techniques based on big data and uses four distance similarity calculation methods, namely, Euclidean distance, Manhattan distance, Ming’s distance, and Ma’s distance, to constrain spatial clustering similarity metrics. Combine the K-means algorithm and FCM clustering algorithm to calculate the center value of fuzzy clustering, use the additive synthesis method to solve the combination weights, and construct the combination weighted distance, fuzzy C-mean algorithm model. Research on the mechanism and path of digital economy-enabled rural revitalization through the C-FCM model, and propose three correlation hypotheses for this paper. Empirical experiments are conducted to verify the authenticity of the hypotheses proposed in this paper and the use effect of the constructed model. The experimental results show that the Moran index range of digital economy and rural revitalization is [0.06, 0.12], [0.05, 0.16], respectively, and there is a significant aggregation phenomenon of the two under the geographic matrix. In the analysis of the spatial spillover effect, the values of spatial autoregressive coefficients of rural industrial revitalization are all >0, with significance p>0.05. The digital economy has a positive effect on rural revitalization in neighboring areas through the spatial spillover effect. In the clustering sample extraction test, the accuracy is most stable when the number of samples is 2200, and the accuracy rate is as high as 79.66%.
Innovation of Mental Health Education Path in Colleges and Universities under the Perspective of “Internet +”
Authors: Chen Lingjing
Published: January 2024

The traditional mental health education model has made it difficult to cope with the increasingly serious psychological problems of college students. In this paper, under the perspective of “Internet+”, based on the social network of college students, we constructed a propagation dynamics model of depression in colleges and universities and utilized the heterogeneous mean field to detect the propagation status of students’ depression. After calculating the comprehensive centrality degree of students with depression, the community mining of peer psychological adjustment is completed. The C-P similarity of students under the mental health perspective was defined by the ordering of the comprehensive centrality degree and the friend recommendation results were obtained by the distance measure of similarity. In the network of students without depressed mood, after a period of oscillation initially, the end state can be basically reached within 1000 steps, and the infected nodes reach 1000. When the depressed mood factor is small, such as S=0.02 and S=0.04, it has been able to prevent the transformation of depressed mood to the state of all 0, and the proportion occupied by positive and negative moods in the network is basically stable. Internet technology effectively improves the problem of identifying students with psychological abnormalities and implementing targeted mental health education.
The situation and transformation of sports governance in national colleges and universities under the background of double reduction
Authors: Fu Xiaolong
Published: January 2024

This paper aims to improve the quality of sports development by using particle swarm optimization (PSO) based long and short-term memory network (LSTM) and support vector machine (SVM) based sports performance prediction model (SPPM) to realize the shift to information technology (IT)-based sports governance in the context of the “Double Reduction”. The effects of LSTM and PSO-LSTM are evaluated by testing individual exercise physiological data like heart rate and blood oxygen values. Test the effectiveness of particle swarm optimization neural network’s sports performance prediction model with sample data and conduct comparative experiments with multiple linear regression, genetic algorithm optimization BP neural network, and firefly optimization BP neural network, respectively. Analyzing the characteristics of the extracted samples and performing a paired-sample t-test on the sample size revealed the gap between service perceptions and expectations. The analysis shows that the overall expectation mean of parents is 4.482, and the actual perceived mean is 3.966. All the indexes fail to reach the ideal level of parents, which indicates that the delayed sports service proposed by the institutional sports needs to be further adjusted.
Optimization Analysis of the Path of Ideological and Political Construction in Higher Vocational English Courses Based on Intelligent Data Analysis
Authors: Kong Liping
Published: January 2024

Incorporating the elements of curriculum Ideological and Politics in English teaching is an important way to enhance the effect of nurturing, and this paper explores its integration. In the paper, the intelligent data mining process for the construction of higher vocational English curriculum Ideological and Politics is constructed, and the related data are integrated based on the rough set method to explore the set relationship between the construction of intelligent data. In addition, combined with the PSO algorithm, the PSOBR algorithm is constructed on the basis of the PSORSFS algorithm of PSO’s rough set feature selection for the optimization of the path of construction of the English curriculum Ideological Politics. On this basis, relevant data on English majors in higher vocational colleges and universities were collected to carry out empirical research on the path of Ideological and Political construction of English courses in higher vocational colleges and universities. The results show that the main distribution of GPA of the three groups of students based on rough set classification is (0.60,0.80), (0.36,0.50), (0.24,0.44), respectively, and the distribution of the construction of higher vocational English courses is not balanced. The average construction effect after optimization has been improved by 0.30, and the highest construction effect has been improved by 0.42, which makes the optimization effect obvious. The optimization effect of the path of English course ideological and political construction through the formation of a professional teaching team, enrichment of teaching methods, and other means is obvious.
Research on Physical Education Management System in Higher Education Institutions in the Context of Deep Learning
Authors: Zhang Fan
Published: January 2024

This paper focuses on the management of physical movement sports disciplines and combines relevant algorithms to design an artificial intelligence-based physical education management system framework. In terms of related algorithms, the first is for the research of character recognition algorithms. Considering the intra-class differences between individual movements, the LR-based feature extraction algorithm is proposed. Secondly, for the research of the action evaluation algorithm, the statistical value, DTW parameter action time series difference and correlation coefficient based on the statistical value and DTW parameter are used as the features, combined with SVM-based feature extraction algorithm for perceiving the action differences. Finally, with the help of deep neural networks for movement analysis, we can improve students’ movement techniques during training. In the course schedule supported by the system, the proportion of moderate-intensity exercise time is high, basically, more than 40%, which meets the WHO requirements for high-intensity exercise time in physical education classes. The post-course RPE feedback from students was spread out between 12 and 15, and the highest post-course RPE value was 14.821.38, which was evaluated within a reasonable range of intervals. The teaching management system in this paper can meet the requirements of physical training and teaching, and provide quantifiable basis and management tools for the informatization and precise teaching of physical movement subjects.
Research Progress of Weld Tracking Image Processing Technology Based on Deep Learning Theory
Authors: Shen Zilei , Du Yongqiang
Published: January 2024

In this paper, a convolutional neural network is used to localize the weld seam feature points with noise interference in complex welding environments. A priori frames are introduced into the feature point extraction network, combined with position prediction and confidence prediction, to improve the accuracy and anti-interference ability of the weld tracking system. To improve welding efficiency by utilizing the continuity of weld tracking, the weld tracking network is designed based on the twin structure. The weld detection network designs the first frame to locate the key position of the bevel and inputs into the weld tracking network as a template, and the weld tracking network completes the automatic tracking of the subsequent welds. At the same time, the network introduces a hybrid domain attention mechanism, which makes full use of the weld feature channel dependence and spatial location relationship and puts more attention near the inflection point of the weld laser line to ensure the accuracy of weld tracking. The research results show that the extraction error of weld seam feature points based on the convolutional neural network is within 17, which is much lower than that of the grayscale center of gravity method and Steger's algorithm. In the weld tracking experiments under the workpiece tilting state, the average value of the absolute error of the tracking trajectory in the X-axis direction is not more than 0.7 mm, and the maximum value is less than 1.15 mm. The absolute tracking error in the Z-axis direction is relatively low, with an average of 0.638 mm and a maximum of 1.573 mm. Therefore, the weld-tracking image processing technique proposed in this paper has strong anti-noise interference capabilities and high localization accuracy. And high accuracy in localization.
The Integration of Traditional Music Culture in Modern Informational Music Teaching
Authors: Hou Changzhi
Published: January 2024

In this paper, in the process of music teaching, the music notes characterized in the time domain are Fourier transformed to the frequency domain, and the resulting notes in the frequency domain are analyzed and processed to obtain the inverted spectral domain features of the notes. On the basis of the cepstrum features, the music recognition model based on the depth confidence network is constructed, and after the training of the depth confidence network, the overfitting phenomenon often occurs for the depth confidence network, and the optimization is carried out by embedding the Dropout method between the implicit layers. From the perspective of music recognition and informationized music teaching, the research on traditional music culture integration of informationized music teaching is designed, and statistical analysis and simulation analysis methods are constructed. The results show that better recognition performance than using music features from different convolutional layers can be obtained using Deep Confidence Networks, with values of 77.5%, 78.8%, and 78.2%, respectively, and that music recognition research based on Deep Confidence Networks is able to better explore and pass on traditional music culture. In the linear regression analysis between the factors of incorporating folk songs into music teaching, the Sig. F and Sig values are 0, which are smaller than the significance level of 0.01 and 0.05, indicating that there is a significant relationship between the factors of students’ gender, age, whether they like folk songs, and the channels of exposure to folk songs and whether folk songs are incorporated into the music teaching program of colleges and universities. This study takes folk songs as representative of traditional music culture, raises people’s awareness of the value of folk songs, and enhances their understanding of the importance of music culture inheritance.
Consumer behavior prediction and marketing strategy optimization based on big data analysis
Authors: Zhang Zifeng
Published: January 2024

A large amount of user data on network platforms contains rich treasures, and the mining and development of user consumption behavior in combination with big data provide new possibilities for enterprise precision marketing. In this paper, a consumption behavior prediction model is constructed based on context-aware data and support vector machine classification algorithm, and interactive information collection is used to collect contextual data of user consumption behavior and consumption behavior cycle data. Combined with the support vector machine classification algorithm, the collected behavioral consumption data is divided into hyperplanes, and for nonlinear data, the method of placing the corresponding behavioral data in hyperplanes in the feature space is proposed. The selection of consumption behavior features is obtained using the min-max normalization process, and behavior prediction is carried out on this basis. The results show that the context-aware behavioral prediction model in this paper has the highest R-value, F1 value and NDCG among all models in Top-10, which are 0.796, 0.645 and 0.878, respectively. The two-stage prediction method in the behavioral prediction model can achieve a 98.15% data capture rate, which can accurately obtain the number of these users so as to formulate an accurate marketing strategy.
Design of Internet Platform for English Teaching in Colleges and Universities under the Background of Big Data
Authors: Dong Xiaoyan
Published: January 2024

This paper constructs an English teaching platform based on a speech recognition algorithm and Internet technology, adopts a three-tier architecture to design the web application, and combines the server and browser technology to realize the operation of data interaction with the SQL database. A rectangular bandpass filter is selected for narrow-band information extraction by introducing the sinc function to improve the feature extraction efficiency of speech signals at each frequency. CTC is used to obtain input feature-to-state mapping to solve the sequence problem in speech recognition and achieve end-to-end speech recognition. To achieve the final audio recognition results, the speech decoding algorithm is employed to select the optimal speech output. The results show that in the listening score, the score of the experimental group is 9, and the score of the control is 6. The completion rate of the topics among students who studied on the English teaching platform was higher than that among students who were taught in ordinary English. The completion rate is 0.82 for English questions of grammar type and 0.98 for English questions of listening type, and the average number of passes is the least number of passes, and the number of times is 2.
Selection of corporate strategic and operational decisions based on the strategic orientation of informatization: an experimental study
Authors: Li Jing
Published: January 2024

This paper firstly divides the enterprise informatization strategy into three objectives, namely cost (C), time (T) and performance (P), so as to form a triangle with mutual constraints and equilibrium. Secondly, based on demand effect curve fitting, establish the product sales revenue effect function to find the product price that maximizes sales revenue. And under the cumulative effect of the multi-period business decision-making scheme, the traditional Markov process model is improved to form a multi-period business decision-making optimization method based on the Markov process. Finally, using Enterprise A as a study case in the horizontal expansion stage, simulation and sensitivity analysis of the enterprise’s business decision-making scheme are performed. The results show that in the 8-year operation cycle, as the target profit margin increases from 0.05 to 0.20, the cumulative profit level decreases from 11.43 to 8.38. Enterprises can select the scheme that obtains the optimal comprehensive ability in one aspect according to their own internal and external environments as the final implementation scheme.
Analysis of the change path of news dissemination under the trend of short-video convergence - Based on multi-priority dynamic thresholding algorithm
Authors: Zhao Mingwei
Published: January 2024

This paper proposes a multi-priority dynamic threshold algorithm for short video news transmission. The average queue threshold is dynamically adjusted according to the packet priority and unused cache space, and the data frames of short video news nodes are processed into multiple pulse data segments after the encoding process. The success rate and confidentiality of data transmission are improved by scrambling each segment of pulse data. Finally, after updating the thresholds at all levels, the overall thresholds of short video news are kept full to meet the performance requirements of the highest priority queue of short video news. The results show that 95.03% of the short video news with a high dissemination degree has a file size of less than 5 MB, and its video length is most popular among users in the range of 8~15 seconds. Compared to the traditional news dissemination mode, short video news is not limited by time and space, which greatly improves the efficiency of information dissemination.
Separate Equilibrium Game of Higher Education Management and Student Training in the Internet Era
Authors: Sun Yixin
Published: January 2024

This paper constructs an evolutionary game model by making relevant research hypotheses on higher education management and student cultivation with evolutionary game theory, selecting the evolutionary strategies of higher education management and students, and solving the expected returns of higher education management and student cultivation through the payoff function. A separate equilibrium game is solved for the replicated dynamic equations of the evolutionary game so as to better analyze the dynamic evolutionary game relationship between higher education management and student cultivation. The stability analysis of the evolutionary game model for higher education management and student cultivation was carried out, and numerical validation was performed using MATLAB software. The results show that when P
3+P
4+ T
3 < F, the benefits of both universities and students are higher than the costs, and at this time (1,1) is the evolutionary stability point, the university management and students learning by heart are the evolutionary stability strategy, and both sides tend to take a positive strategy. When the proportion of the university education management department choosing “attentive management” strategy is 0.9, its evolutionary path of students choosing “attentive learning” strategy proportion increases and then tends to 1, so as to reach a stable state. The best evolutionary stability point is achieved when the strategies of higher education management and student training choice are both 0.7 and 0.8 after the university incentive policy is introduced.
Research on path planning of self-driving vehicles based on improved DWA algorithm
Authors: Tang Xiaojie , Li Yuanlin
Published: January 2024

With the increasing degree of vehicle intelligence, unmanned vehicles have been widely used in civilian and military fields, which is of research value. In this paper, considering the vehicle dynamics constraints and the efficiency of the algorithm calculation to improve the DWA algorithm for the path of the self-driving vehicle, taking the intelligent vehicle node as the center of the circle and the sensor detection distance as the radius to extract the local map, combining the improved A* algorithm to fuse the DWA algorithm to carry out the local path planning at the key points, and through the design of the simulation experiments in the static and dynamic environments, the results show that, in the static environment of the simulation experiments The results show that in the static environment, the changes of the swing angle of the three vehicles fluctuate between -3 and 4, and the changes of the lateral speed of the vehicles fluctuate between -0.06 and 0.08, which are within a reasonable range of changes and satisfy the safety requirements. In the dynamic environment simulation experiments, the curve amplitude of the curvature similarity evaluation function in the improved algorithm is 40% less than that in the traditional algorithm, the number of iterations is 240 times less, and the car can reach the end point faster. This research can improve path planning accuracy, dynamic obstacle avoidance ability, and better path planning effect, which can be applied in the field of intelligent vehicles.
Changes in Music Curriculum Education in Colleges and Universities Based on Cloud Classroom Assistive Technology
Authors: Pan Jie
Published: January 2024

With the rapid development of science and technology, cloud classroom teaching has gradually become a trend. The cloud-based music teaching aid training system designed in this paper learns to map rhythmic and pitch features through music sequence generation technology. The onset detection algorithm of spectral flux detects the onset of the note. The Bezier curve is introduced into the melodic line feature generation algorithm to construct a polynomial function for interpolation between the first and the last endpoints, and the emotion is utilized to guide fractal music creation. Finally, the effectiveness of this auxiliary teaching system in college music teaching has been verified. The results show that the optimal Hamming distance of the system is 0.353 in the music melody generation experiment, which indicates that the system can quickly generate melody lines for students in music teaching and improve their learning efficiency. The system can significantly improve the rationality and efficiency of music skill training, which is worth promoting.
Research on the coupled and coordinated development of agroecological and agroeconomic theory systems in the context of digitalization
Authors: Gao Jie , Liao Wangke
Published: January 2024

This paper firstly constructs the matrix of eigenvalues of agricultural economy and ecological environment based on the original data, uses the entropy value method to judge the degree of dispersion of the indexes, determines the weights of the comprehensive evaluation index system of agricultural economy and ecological environment, and calculates the comprehensive scores of the agricultural economy and ecological environment system based on the weights of the indexes. Then, the synchronization development index model was used to express the coupled and coordinated development relationship between agroecology and agroeconomy. Finally, the regression analysis model was used to analyze the factors that affect the coupled and coordinated development of agroecology and agroeconomy. The level of agroecology in County A grew from 0.1 to 0.85, and the level of agroeconomy from 0.267 to 0.7. The value of agroeconomy and ecology coupling degree increased from 0.434 in 2010 to 0.683 in 2020, and it was gradually transformed from a dysfunction to a barely coupled one. This study deeply analyzes the influencing factors affecting the coupling and coordinated development of the agricultural economy and ecology, which is of great significance for promoting the high-quality development of the agricultural economy and maintaining ecological security.
Optimization of Food Processing Parameters Based on Parametric Models
Authors: Shang Zhuying
Published: January 2024

In this paper, a food processing process optimization model is constructed based on the improved particle swarm algorithm. By adding the chaos mapping strategy to the basic particle swarm algorithm, the optimization efficiency of the particle swarm under the constraints is improved. Combining the multi-objective optimization capability of the NDWPSO algorithm, the process parameter optimization process is constructed to optimize the parameters of food processing processes. The proposed method for process parameter optimization is applied to the vacuum drying process parameter optimization experiment of Jujube to test the effectiveness of particle swarm process parameter optimization. The results show that the diversity value and the best-adapted value of the NDWPSO algorithm in the single-peak function only use a small number of iterations to drop to a level close to 0, indicating that the NDWPSO algorithm has a faster convergence speed. In the vacuum drying process of jujube, the theoretical values of the optimal process parameters for freeze-dried jujube slices are: jujube slices thickness 5mm, sublimation drying temperature -22℃, resolution drying temperature 20℃.
Traceless Kalman filter threshold estimation for distributed power loads
Authors: Bao Chengjia , Zhang Tianyi , Hu Zhixi
Published: January 2024

Load forecasting is an important part of smart grid construction, energy management, and sustainable design of power systems, and has a great impact on the reliable operation of power grids, facility planning and other decisions. In this paper, we utilize the traceless transform of the UKF algorithm to obtain the sigma feature points generated by the mean value of the high-frequency wavelet components of the power signals and combine them with the EKF algorithm. We put forward a novel neural network hybrid Kalman TUKF algorithm, which will be used to carry out simulation experiments on the distributed electric loads and to estimate the threshold value of the loads in the numerical experiments. The results show that in comparison with the actual measurements, the TUKF algorithm improves by 34.7% in the RMSE metrics, 38.7% in the MAE metrics, and 40.6% in the MAPE metrics compared to the PFWNN. The TUKF algorithm is closer to the real curves and has the best prediction performance for all the time intervals of the prediction. The change of the threshold value has a more obvious effect on the prediction accuracy, and the best effect is in the scale δ = 0.5, i.e., the threshold frequency is selected as the middle value of the intermediate frequency.
A Comparative Study of Aesthetic Differences between Guangxi Folk Dance and ASEAN Dance
Authors: Tang Yi , Chen Zhou
Published: January 2024

Clarifying the aesthetic differences between Guangxi folk dance and ASEAN dance can promote the in-depth exchange of dance art and culture between the two. In this paper, the aesthetic characteristics of Guangxi folk dance and ASEAN dance are discussed, and the HRNet network is used as the basis, combined with the sequence multi-scale feature fusion and the PCA action gesture segmentation model for the action gesture estimation. The dataset was constructed according to different kinds of Guangxi folk dance and ASEAN dance, and the aesthetic differences between Guangxi folk dance and ASEAN dance in terms of intrinsic culture and extrinsic performance were analyzed using the dataset. The results show that on the inner culture, Guangxi folk dance is mainly based on traditional culture and folk customs. ASEAN dance is more influenced by religious culture, although it has differences, but the correlation coefficients of emotional expression and national custom are 0.963 and 0.954, respectively. On the outer manifestation, Guangxi folk dance has as many as 11 kinds of action dance forms, while ASEAN dance emphasizes more on The ASEAN dance emphasizes more on the “flat, taut, straight and standing” forms. The aesthetic differences between Guangxi folk dance and ASEAN dance can promote the exchange and integration of dance art and culture between the two and provide a good artistic foundation for the in-depth promotion of the Belt and Road.
Analysis of Digital Transformation of E-commerce Enterprise Management and Enterprise Development Prospects Based on Carbon Neutral Targets
Authors: Sun Hao
Published: January 2024

This paper introduces the green technology innovation capacity under the carbon neutral goal as the dependent variable and makes research hypotheses on the digital transformation of e-commerce enterprise management and enterprise development. The research hypotheses model between the three is constructed by both quantile regression and multivariate linear regression, and the panel threshold adjustment model between green technology innovation capacity, digital transformation and enterprise development is given. Empirical evidence is used to verify the relevant influencing factors of digital specialization and enterprise development of e-commerce enterprise management under the carbon neutral goal from multiple perspectives, including correlation test, benchmark regression, quantile regression, and panel threshold adjustment test. The results show that the correlation coefficients between the potential variables of the model are all below 0.1, suggesting a significant correlation. The 1% level showed significant differences in the ability to innovate green technologies, digital transformation of e-commerce enterprise management, and high-quality enterprise development. The single threshold value of green technology innovation capacity on the ability of e-commerce enterprises to manage digital transformation is 1.6829, and the double threshold value on the high-quality development of enterprises is 0.6572 and 1.6847, respectively. The green technology innovation capacity of e-commerce enterprises needs to be strengthened under the goal of carbon neutrality in order to promote the digital transformation and high-quality development of e-commerce enterprises.