bluuebunny/crossref_metadata_2025 huggingface dataset:
An adaptive algorithm for voice quality based on big data voiceprint identification
Authors: Wang Jinhui , Kang Ruixue
Published: October 2023

This paper improves the speech amplitude in Bayesian speech enhancement estimation by introducing a super-Gaussian cardinality distribution probability density function in the filter's construction. The derivation is combined with the perceptual error function, the new probability density function and the perceptual error cost function to better exploit and utilize the prior statistical information of the speech. The results show that the proposed method can improve the signal-to-noise ratio up to 0.7 dB under different noises and different signal-to-noise ratios, and the processed speech has better feasibility, which provides good speech enhancement for the processing of noisy speech quality in vocal identification practice without significantly increasing the computational complexity and can be better adapted to the application.
The application of tennis teaching in computer network environment
Authors: Chen Jun
Published: October 2023

In this paper, students' implicit learning characteristics parameters are first transformed using BP neural network. Then the parameter weights are corrected using the activation function and normalized to obtain explicit data characteristics. Finally, a tennis online teaching platform is constructed by measuring the correlation between learning behavior data through the K-mean clustering algorithm and extracting the learning behavior regularity coefficients accurately using time series. The findings revealed that the platform had an average pass rate of 78.6% for students, and the average learning time was 6.5 hours. The teaching quality of tennis can be effectively improved in the computer network environment.
The method of grouping and classifying music curriculum teaching resources in the context of double reduction
Authors: Shao Lingchun , Jiang Kun
Published: October 2023

A subsumption classification method is proposed to improve the classification accuracy of teaching resources in the music curriculum through a double reduction policy. Subject words are selected from high-similarity and high-frequency word sets, and a subject word tree is constructed using an automatic tree construction method based on a probabilistic latent semantic analysis algorithm. To complete the subsumption classification of teaching resources, an improved multi-graph kernel convolutional network is employed to group tree leaf nodes. According to the classification evaluation results, the recall, accuracy, and F1 values are 90%, 96.48%, and 88.81%, respectively, and the macro F1 value is as high as 81.59%. It can be seen that the method can effectively classify the teaching resources of music courses with the best effect of subsumption classification, which helps to improve the appropriateness and adequacy of teaching resources utilization.
An analysis of the adaptability of Confucianism Civic Education in colleges and universities based on the construction of cognitive mapping
Authors: Yang Yankai
Published: October 2023

To extract the main structural features, we first use the CRF algorithm to annotate different knowledge feature vectors based on cognitive mapping in this paper. To mine the correlation between the main structures and fuse them, the G-DINA technique is employed to set the threshold value. The response function is utilized to diagnose the cognitive parameters of students and accurately quantify their cognitive state. According to the results, the educational platform has an average coverage rate of 78%. The average cognitive index scores of the students were 75, and 92% were content with the teaching effectiveness of the platform. The intelligent Civic Education Platform constructed based on cognitive mapping integrates Confucianism and culture to achieve two-way development.
Deep learning algorithm-oriented blended teaching in secondary school mathematics courses in ethnic areas
Authors: Xu Shifang , Pan Chunyan
Published: October 2023

To provide teaching assistance to secondary school mathematics teachers in ethnic areas and improve the teaching effectiveness of mathematics courses, a hybrid teaching model based on deep learning algorithms is proposed. Convolutional neural networks and joint probability matrix decomposition are fused to design teaching resource recommendation methods, and hybrid teaching is carried out according to three stages: before, during, and after class. The overall mean of the questionnaire for the experimental class improved from 2.39 to 3.01, and the pass rate, merit rate, and mean score of mathematics scores increased by 13.79%, 9.02%, and 15.17 points, respectively. This method enables educational technology to be effective in mathematics curriculum and improve the quality and information of mathematics education in ethnic areas.
Exploring the Effective Path of Cultivating College Students’ English Intercultural Communication Competence Based on the Social Network Analysis Model
Authors: Hu Yan
Published: October 2023

This paper introduces the BOPPPS teaching model integrated with flipped classrooms into the intercultural communication classroom by decomposing the BOPPPS teaching module and analyzing the differences with traditional teaching methods by combining social network analysis methods. The basic teaching model framework was built, and an effective blended teaching model was created by utilizing the third-order nonlinear expression of social networks introduced into the online platform. A 10-week teaching model experiment was conducted for two classes to explore English major students in a university. The overall average score of the experimental class improved by 23.6 points to 86.02, and the score improvement was significantly higher than that of the control class, proving that the hybrid teaching model is an effective way to cultivate talents for universities.
Research on the synergistic development and operation mechanism of vocational education and innovative development concepts in universities based on a separate equilibrium game model.
Authors: Jiang Wen
Published: October 2023

Using a separating equilibrium game model, this paper defines the ratio of cooperators to total individuals for the level of school-enterprise cooperation. We use Bayes’ rule to modify the strategy type and solve the vocational education discrete problem by describing the set of six tuples in the separating equilibrium game model under incomplete information. Transforming the vectors in the symmetric positive definite matrix into complementary linear vectors, it is found that the level of cooperation in the split equilibrium game model increases by about 45%. The reorganization, of course, teaching content in higher education according to the split equilibrium game model can effectively mobilize the learning enthusiasm of most students and provide new ideas for the innovative development of the higher education business.
Application of topological data analysis method based on calligraphy creation schema and its limitation analysis
Authors: Liu Jinglong
Published: October 2023

This paper first describes the principle of topological data and the basic steps of topological data analysis. It then outputs images using parametric filters and establishes the expressions of differential evolution. The system is designed using a Gaussian mixture model, the stroke matching module is categorized, and the composition execution diagram of the system is designed. Finally, the calligraphy creation system based on topological data analysis is completed, and the three evaluation results are 62.6%, 58.9%, and 59.2%, all of which are more than 50%, which is better than the traditional creation system. The topological data-based oriented calligraphy creation system designed in this paper is proven effective in achieving calligraphy creation and has good application.
Analysis of the degree of influence of university Chinese language and literature education on students’ humanistic quality based on the principle of interval number variable power
Authors: Su Hong
Published: October 2023

In this paper, the characteristic parameters with different properties are transformed into comprehensive quantified values, the deviation of characteristic parameters is defined using the interval number variable weight principle, and the teaching situation is created by combining students’ interests. The weight vector is derived from the disappointment function to assess the humanistic quality of Chinese language and literature education. Let the state vector be mapped by a variable-weight mapping, which will monotonically increase or decrease each variable continuum, reflecting the first-order change in Chinese language students' learning status. It is found that 18.66% of the first-year students in colleges and universities are familiar with humanistic quality, and the highest real-time rate is 0.9906. The principle of variable weight based on interval numbers can be used to effectively cultivate students' humanistic qualities and develop high-quality and innovative talents.
A study on the literary elements of children’s literature classics and their influence on reading experience based on principal component analysis
Authors: Fu Yu
Published: October 2023

The dimensional statistics approach of principal component analysis is utilized in this paper to transform a set of variable observations using orthogonal transformation to convert the data to a new coordinate. The original observations data are summed linearly by selecting appropriate values through cross-validation and calculating the spatial data of works with literary elements. Determine a sufficient number of basis functions selected mainly based on the fluctuation of time variables. The number of students who believe that reading classic works enhances scientific literacy was 92.56%, with the highest contribution of linguistic and literary elements found to be 92.56%. The uniqueness and richness of children's literature can enhance character-building and overall core literacy of students, as indicated by this.
Research on the Mechanism of Dual Integration and Promotion of Confucian Moral Education Thought and College Students’ Civic Education Based on Data Fusion Model
Authors: Liu Qianyi
Published: October 2023

This paper uses Data fusion technology to integrate Confucian moral education with Civic Education. Different information sources are detected, and their parameter states are estimated using a weighted estimation algorithm. Principal component analysis is used to linearly transform the original information and calculate the weight values of the main feature vectors. The trust function is established using the D-S combination theory to achieve the fusion of knowledge structures. The results show that the average access rate of the teaching platform constructed based on data fusion reached 89.2% per week, and the average number of platform hits was around 716 per week. It shows that the integration of Confucian moral education ideas has enriched the content of Civic Education for college students and realized the teaching mechanism of double integration and double promotion.
Cultivation of students’ craftsmanship identity and ability based on the theory of directed percolation
Authors: Zhang Pengfei
Published: October 2023

In this paper, data mining is performed based on the directed percolation theory influence mining algorithm, analyzing the maximum influence node mining proportion threshold and calculating the maximum eigenvalue of the non-return matrix. The convergence conditions of the iterative process of immobile points are analyzed to obtain the percolation threshold of the information dissemination process of directed percolation, and the initial vector is selected among the node-associated features to form the iterative formula to mine the maximum percolation theoretical influence. According to the results, students' focus on craftsmanship has risen significantly, and the percentage of students who consider persistent concentration spirit important has increased to 75%. The directed percolation theory's craftsmanship spirit is crucial for developing students' vocational skills and comprehensive literacy.
A study on the relationship between visual communication and graphics in a new media-oriented logistic regression model
Authors: Zhuang Yan
Published: October 2023

In this paper, we use a logistic regression model to determine the factors of regional visual communication susceptibility evaluation with new media orientation and solve the joint confidence band level independently. The verdict results of the graphical-textual feature space define the relevant symbols of graphical-textual relationships. The confidence estimation parameters of the candidate graphic texts are determined, and the textual characteristics of graphic heterogeneity are mapped to the image unified feature space. The results show that the graphical text symbolization sequences of the design model in this paper are mainly distributed on the 0-2m·s−2 point interval, and the accuracy rate of the news expression effect reaches 82.3%. It indicates that the design model in this paper can design a new type of graphical-textual relationship and fully exploit the functions of pictures and texts.
The Construction of English Teaching Resource Library in Universities Based on Mathematical and Statistical Multiple Regression Model
Authors: Guan Yanjun
Published: October 2023

This research creates an online communication platform using a mathematical statistics multiple regression model to modify the online lesson plan. The irregular variables in the resource base data are precisely measured, and the regularity of the variables is discovered using mathematical statistics. To improve the teaching resource base, the partial derivatives of the sum of squares are found, the regression values are obtained, and the dispersion of the regression values are all obtained using the maximum likelihood estimation approach. Learning English using the developed instructional resource base increased average score by 1.7 points. It demonstrates how the created teaching resource base for English in colleges and universities is effectively used and how multiple linear regression causes the independent and dependent variables to correlate nicely.
A study on the interactive relationship of youth ideological and political education based on social network analysis
Authors: Li Jianyun
Published: October 2023

To combat the negative impact of network information on college students and enhance ideological and political education for youth. This paper uses social networks as a new carrier of ideological and political education for youth and makes it more consistent with the practical needs of ideological and political education through the interactive influence factors of social networks. The dynamic relationship between elements in the network political communication process is examined through a network political communication model and the SEIJR communication mechanism. The results show that when the number of Renren users is 50, the number of information covered by the network political communication model is 2100, indicating that the superiority of ideological and political education can be further expanded through social networks and the efficacy of ideological and political education can be better utilized.
A Study on the Impact of Higher Education Expansion on Human Capital Accumulation and Economic Development - An Empirical Analysis Based on Structural Equation Model
Authors: Ren Xiufeng
Published: October 2023

Based on structural equation modeling, this paper investigates the impact of expanding higher education levels on human capital accumulation and economic development. The relationship between latent and latent variables is used to estimate the maximum likelihood estimates of scale expansion by calculating unstabilized and stabilized weights. A weighted linear combination of weights in the weights pool is used to construct the SL estimator. Based on the structural equation model, the prediction model of the impact of higher education scale expansion on human capital and economic development is constructed, and four impact hypotheses are proposed. The results show that the rate of return to higher education for expanding the higher education scale is 4.36%. The rate of human capital accumulation is 102.36%, while the level of economic development is 63.89%. It indicates that the positive effect of expanding higher education levels on human capital accumulation and economic development is significant.
Research on construction project cost budget and cost control based on matrix model
Authors: Yang Jingsi , Li Zhenhai , Yang Ge
Published: October 2023

In this paper, based on the matrix model to count the number of elements and judge the symmetry of matrix elements, the nearest neighbor space in high-dimensional space is converted into a symmetry matrix. The boundary extraction is discretized and iterated repeatedly until the fitness satisfies the final condition. The genetic algorithm finds the optimal solution, which is transformed into the fitness function, and the system reliability constraints are processed to solve the cost control problem. According to the results, the cost control cost of the construction project is reduced by 10% based on the matrix model. It shows that the proposed model can promptly solve the existing project cost over-budget situation, which makes the enterprise obtain more economic benefits and enhance the market’s competitiveness.
Research on multi-sensor-based online inspection technology for electric vehicle charging pile transfer type equipment
Authors: Chen Zhiru , Zhao Xi , Zhang Zhi , Jing Zhen
Published: October 2023

This paper performs data fusion based on a multi-sensor fusion algorithm, which measures the sensors and calculates the distance between the data to obtain the measurement weights when participating in the fusion. The sensor observation model is created using an extended Kalman filter, and the nonlinear state transition function is linearized using the covariance matrix. Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the contactor of the charging pile transfer type equipment is 1.153s after the simulated charging pile output over-voltage in the disconnection time detection. The online detection efficiency can be improved by using multiple sensors, the method analysis can be intuitive, and the charging service capability of the electric vehicle charging pile can be effectively improved.
Research on the Application of Red Music in the Construction of Curriculum Civics Based on the Knowledge Dissemination Model
Authors: He Tao , Dong Ting
Published: October 2023

Most ideological and political educators in colleges and universities are focused on improving students’ work in ideological and political education. This paper perfectly integrates ideological education with Internet technology, making it more scientific and modernized based on this realistic demand. Based on analyzing the process and influencing factors of red music dissemination, drawing on the idea of SIS epidemic dissemination, the influencing factors of knowledge dissemination are abstracted as parameter variables in the process of knowledge dissemination, and the K-SIS knowledge dissemination model based on metacellular automata is constructed. To explore the practical significance that reading music, a media form with special meaning and characteristics possesses for expanding students’ ideological and political education work ideas. Simulations were conducted with trust levels of 20%, 40%, 60%, 80%, and 100%, and it was found that higher trust led to knowledge equilibrium at higher knowledge possession levels for the ideology and politics course team.
Path identification and effect assessment of digital economy-driven manufacturing quality development in the context of big data analysis
Authors: Liu Yu , Zhang Zhengchao , Ding Yunfei , Jiang Shicao
Published: October 2023

This paper uses big data analysis technology to construct a digital intelligent manufacturing system. Firstly, the K-mean algorithm is used to cluster the enterprise manufacturing data, and then the fuzzy C-mean algorithm is combined to detect the abnormal data and realize the preferential selection and control of product features. A semi-parametric algorithm is introduced to establish index weights to achieve optimal resource allocation. The results show that after manufacturing enterprises produce through the digital intelligent manufacturing system, qualified products account for 82% of the total output and productivity increases by approximately 44% on average. Big data analysis technology enables enterprises to analyze data effectively and enhances the development of the manufacturing industry in the digital economy.
Construction of Student Information Management System for Universities Based on Cloud Computing Platform
Authors: Chen Wei
Published: October 2023

The first step in this paper is to establish an integrated education information management platform that utilizes cloud computing as the scheduling center, considering the characteristics of cloud computing. The hierarchical structure of the student information management system and each business function module is designed using the B/S three-layer architecture. The fitness function evaluates individual merit based on K-means teaching data to ensure the genetic algorithm’s population diversity. The analysis model of university teaching data is constructed using the penalty function of chromosomes. The final test results show that when the network data transmission time reaches the 60s, the average network data traffic consumed is 260Byte, which indicates that the constructed student information management system has wide applicability.
Research on Promoting Professional Development of Foreign Language Teachers in Higher Education Based on Cross-cultural Competence in the Context of Deep Learning
Authors: Liu Chang
Published: October 2023

This paper introduces support vector machines in deep learning algorithms that can model and analyze cross-cultural teaching and knowledge bases. Wavelet functions are used instead of traditional functions to perform deep learning on training samples. Finally, the learning ability of the support vector machine is improved by the wavelet kernel function to complete the effective instruction of higher education teachers to develop students’ intercultural competence. The results show that the accuracy rate of the intercultural teaching level of the deep learning algorithm proposed in this paper reaches up to 99.25%, and the results of the intercultural ability performance of the higher vocational students are excellent, which shows that the method of this paper can improve the intercultural teaching ability of foreign language teachers and strengthen the intercultural knowledge training of students in higher vocational institutions.
A Modeling Study on the Teaching System of Chinese Language in Colleges and Universities and the Cultivation Path of Bi-Creative Talents
Authors: Shen Fei
Published: October 2023

The trend of cultivating Chinese language dual-creative talents in colleges and universities is inevitable due to the increasing importance of national soft power. This paper studies the Chinese language teaching system and the cultivation path of dual-creative talents in colleges and universities using a modeling approach. The competency model’s iceberg model determines the dimensions and measurement items of dual-creative talents, verified through reliability analysis. At the same time, a QFD model for quality assurance of dual-creative talent cultivation in universities was established, and the importance of demand factors was calculated by analyzing the obtained results of each rating. Among the four factors, the degree of conformity was from the highest to the lowest: creative attitude, basic creative ability, creative expansion ability, professional knowledge, and skills, with rating values of 4.19, 4.12, 3.67, and 3.49, respectively. The empirical analysis of QFD showed that the highest weight of the demand level of development achievement of dual-creative talents cultivation reached 0.4066, followed by the basic conditions of teaching, which reached This study can provide some reference and help for the cultivation of Chinese language double-creative talents in colleges and universities, and help improve the quality of double-creative talents cultivation.
Online Education Platform for Chinese Language Abroad Based on Remote Recognition System and Machine Learning
Authors: Zhao Mingming
Published: October 2023

The remote video transmission system and machine learning are this paper’s first areas of analysis. Secondly, the remote recognition system’s image processing and content-based image retrieval are analyzed algorithmically, including image filtering, morphological processing, and canny edge extraction. The Chinese Bon platform dataset is the platform chosen for this research. The analysis of learners’ learning behavior and grade prediction is conducted based on the Chinese Bon platform dataset’s four categories: basic course information, basic learner profile, learning behavior record and learning effect. A prediction model was established for grades based on the feature variables, and its model accuracy reached 60.83%, while the accuracy of the model obtained based on the remote recognition system and machine learning algorithm was 73.35%.
Research on the optimal allocation of resources for innovation and entrepreneurial education in universities in the context of deep learning
Authors: Zhou Xuemei
Published: October 2023

Optimizing educational resource allocation will undoubtedly influence how universities construct their entrepreneurship and innovation curricula. In this study, we examine innovation and entrepreneurial education, allocate educational resources, and choose neural network methods related to deep learning. The convolutional neural network algorithm is studied in four stages: the convolutional layer, the pooling layer, the activation function, and the fully connected layer. The convolutional neural network model uses backpropagation to adjust the output parameters’ divergence from the ideal values, adjust and update the weight parameters, and confirm the computational layer data and hidden layer data from the propagation process. The DEA algorithm is reviewed to enhance and evaluate the resource allocation for innovation and entrepreneurial education at universities, and a DEA-BPNN efficiency assessment technique is created. The complete quality of students has a strong positive association with the effectiveness of allocating resources for entrepreneurship and innovation education. The efficiency of deploying resources for innovation and entrepreneurial education increases by 0.0512 per unit improvement in student quality.
Optimisation of the training path of college students’ education management talents based on data mining algorithm
Authors: Zhao Zichun , Wang Wei
Published: October 2023

Network information development speeds up digital and text mining and influences the optimization of university talent training. We analyze the basic process and main text mining algorithms in this paper and combine the bag-of-words model and TF-IDE to complete the vectorization of text information. The model for generating document topics, i.e. LDA topic model, is refined and analyzed in terms of sampling methods. Analyze the degree of influence of education management talent skill development on other professional skills using quantitative means. Analyzing the education management curriculum system and talent cultivation characteristics, the cultivation of college students’ education management talents involves several skills, including communication skills, organizational skills, teamwork, and the ability to control the overall situation. Problem-solving and learning abilities are given greater attention regarding professionalism, with 85.3% and 82.5%, respectively.
Higher education management work based on information fusion technology for the development of innovation ability of college students
Authors: Wang Zhijuan
Published: October 2023

This paper explores the optimization methods of higher education management work to develop innovation competence. Focusing on classroom management, a method for assessing learning engagement based on information fusion technology is proposed. The facial images are localized based on Haar classification, and CNN is used to determine the learning emotion. Then, the fatigue level and learning concentration are detected based on eye state recognition and face posture estimation, respectively. The assessment of learning engagement is complete when the multidimensional information of classroom learning is fused. Among them, the better-performing face position decision layer features (F1=76.25%) and the facial expression decision layer features (F1=79.12%) are spliced and fused to increase the classification accuracy. The evaluation of learning engagement aids in improving the quality of classroom management and optimizing educational management of universities.
Transfer of higher education system and switching of education model based on multi-scale feature fusion network
Authors: Zhang Yuankui , Zhang Yuting
Published: October 2023

In this paper, we use computer techniques to extract the features of each convolutional layer of CNN, analyze the feature variations of different depth convolutions, and propose a new network framework to improve the head pose estimation task performance by combining the task characteristics of head pose estimation. Multi-scale feature information fusion is the basis of the proposed head pose estimation method (IRHP-Net), which consists of a feature extraction module and a multi-scale feature information fusion module. In the smart classroom learning environment, the algorithm is used to identify students’ attention areas and construct the distraction index and threshold parameters to determine the inattentive state and provide relevant teaching measures. Smart classroom teaching resulted in a 39.69% increase in students’ attention, as shown in the results. Students in the traditional teaching mode showed a 16.7% lower level of learning engagement. A 17.24% increase in academic performance was also a result of the increase in attention and learning engagement.
Research on the application of ergonomics in UI interface design
Authors: Chen Zhiyong
Published: October 2023

This paper firstly discusses the design method and design process of UI interface based on ergonomics, focusing on applying ergonomics principles on interactive UI interface, and discusses the design of UI interface text and color respectively. Secondly, a resilient optimization design model based on the human-computer interaction UI interface is proposed, and the constraints of the first stage and the first stage resilient sub-model are constrained using the equivalence planning method, respectively. The results show that the new version of the interactive UI interface based on ergonomics has a maximum absolute value of 26.83 for the visual coefficient and a minimum of 0.58 for the short-term memory, which is significantly more inclusive than the old version of the UI interface. This paper’s research results are expected to offer a more scientific and reliable design method for UI interface design, which will have greater practical application value and promotion prospects.
A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm
Authors: Ye Chunyan , Gou Huan
Published: October 2023

Using a gradient descent algorithm, a study on the linkage between strategic human resource management and organizational effectiveness. A logarithmic function with a base of 10 is used to represent the useful value of the fused elements of the association and simplify the expression formula for the usefulness of management. The usefulness of the management approach in achieving organizational effectiveness is measured using the information gain approach. The square of the difference between the predicted and true values is used as the loss function value, and the gradient descent algorithm is combined with the gradient descent algorithm to divide the effective joint data and calculate the solution gradient for all samples. Evaluation indexes such as accuracy and recall test the joint degree effective prediction model. The results show that the usefulness of the joint degree effective prediction model is classified into three degree levels: average [0,0.2), useful [0.2,0.4), and 40% or more as very useful. The team’s organizational commitment results in 50% of employees working hard, and only 5% are unmotivated to work.
The Construction of Cultivation System of Chinese Youth Football Players in the Perspective of Multimedia Era
Authors: Wang Xuye
Published: October 2023

The first step in this paper is to standardize each index based on factor analysis, then extract factors based on eigenvalues, and then use a rotation matrix to rotate and name the factor variables. The soccer player development system was created by determining the principal components based on the eigenvectors of the eigenvalues. The relationship between exogenous and endogenous latent variables was investigated by establishing structural equations to investigate the linear combination of variables. The model was used to conduct correlation and path analysis on the influencing factors of youth soccer player development. The study showed family factors strongly correlated with youth soccer player socialization r=0.656, p<0.01. Coaching factors moderately correlated with youth soccer player socialization r=0.456, p<0.01. The study of this paper provides some reference value for the development of youth soccer players.
Research on the design and implementation of computer experiment cloud platform under the application of big data technology
Authors: Dong Xiao , Cai Zhaohui , Xu Hemin , An Yuan
Published: October 2023

In this paper, the computer experiment cloud platform is built using big data technology, and various functions are implemented based on optimizing the platform parameters based on distributed estimation algorithms. The functional and non-functional requirements of the platform are determined, and the overall architecture design and system database design of the platform are carried out. The distributed estimation algorithm and the UDMA algorithm are used to identify the motor model, and the PID controller uses a particle swarm-based algorithm for parameter optimization. The platform system’s requirements are evaluated from environmental and performance perspectives to ensure that it meets the requirements proposed by the requirements analysis. The value of W(S
i) is small, and the actual performance load of the platform remains. The performance of the platform function is good and can withstand a large amount of concurrency, and the average value of 90% response time is maintained at 5.8698s, showing an increasing trend.
Analysis of Civic Education Discourse in Universities Based on Numerical Analysis Kruskal Algorithm
Authors: Tian Rong
Published: October 2023

This paper first proposes the discourse system of ideological and political education in colleges and universities, which mainly includes discourse goal innovation, discourse structure innovation, discourse paradigm innovation and discourse behavior innovation. Secondly, to facilitate the analysis and comparison of the data set, it is necessary to standardize various data and construct a similar relationship matrix based on the standardized data. Then, the correlation between teachers’ and students’ characteristics is incorporated to cluster the users to derive the user similarity and the final predicted rating of the Civic Education resources. Simulation experiments and statistical analysis validate the Kruskal algorithm-based example study of Civic Education discourse in colleges and universities. The results show that the measures of value perception and discourse power are in a reasonable interval, with a minimum value of 1 and a maximum value of 5, and the mean values are between 3.72 and 4.03, and the standard deviations are all greater than 0.75, reflecting the wide distribution of the samples, indicating that this study can improve the efficiency of the recommendation of Civic Education resources and the accuracy of discourse power analysis.
Construction and Improvement of Curriculum Civic System Based on Synergy Theory
Authors: Wang Zhijuan
Published: October 2023

This paper first studied the synergistic theory of college and university thinking, then constructed a factor analysis model of the influence of the thinking education environment, established the factor variables, used the rotation method to reduce the dimensionality of the variables and extracted the common factors. After that, the principal component analysis approach is used to calculate the covariance matrix, eigenvalues, and unit eigenvector. The continuous contribution of variance defines the primary components. A structural equation is constructed based on the correlation between potential and observed variables. In the end, the variables that affect the ideological and political climate of higher education are identified, and the educational impact of current college curricula and the possibility of influence of factors that influence them are assessed. The critical ratio of excellent tradition and quality advantage is 5.613. The critical ratio of multicultural challenges was 20.589, all greater than 0. All educational environment influences had a direct path relationship with educational effectiveness.
Numerical simulation of magnetization induction coupled discharge plasma discharge process
Authors: Wang Xudan , Ding Junling
Published: October 2023

First, this paper analyzes the plasma discharge and fluid model, and constructs the plasma discharge model by drift-diffusion approximation control equation, heavy particle component control equation, electric field distribution and volume force calculation, and plasma chemical kinetic model. Next, the coupling mechanism of inductively coupled RF plasma and its discharge characteristics are analyzed. Finally, the magnetized inductively coupled plasma discharge is simulated numerically. The results demonstrate that the current flowing on an inductor coil develops quicker at 0.045T and then calms down with an increase in the supplied constant dynamic magnetic field power, but the coil voltage exhibits the reverse effect.
A Study on Multi-level Topologizable Optimization Decision Analysis of Online Digital Library Resources
Authors: Wang Jingya , Zhang Aijun
Published: October 2023

This paper firstly proposes a digital resource system of university libraries oriented to knowledge service for digital library resource evaluation research, which mainly consists of a knowledge service diamond system and digital resource diamond system, and studies the evaluation elements and evaluation process of this system, then constructs the evaluation system of library digital resources from quantitative evaluation and qualitative evaluation, etc., and through multi-level topologizable theory, the evaluation indexes and The evaluation indexes and the correlation function are calculated by multi-level topology theory, to derive the weight coefficients and comprehensive superiority of the evaluation indexes, and an example analysis of the digital library based on multi-level topology optimization decision making is conducted. The results show that the users’ comprehensive evaluation of digital library decision-making is excellent, S2, S5 is good, S3 is medium, and S4 is average, where S5 has a higher comprehensive correlation degree in the good level than the correlation degree of S2, indicating that this study improves the quality of digital library decision making in universities and then better serves the users.
A study on the multifaceted teaching model of English translation course integrating multimodal discourse analysis method
Authors: Li Nan
Published: October 2023

The multimodal discourse analysis method is first analyzed in this paper, and a comprehensive framework is established based on it. Secondly, a diversified English translation instruction model is constructed based on the concept of 'human-centered' education. Finally, we integrated multimodal discourse analysis and diversified English translation instruction and conducted a comparative test, which showed that the mean scores of the experimental class in the post-test were 48.56, 29.36, 9.46 and 9.74 for the total vocabulary and different types of vocabulary use, respectively, while the corresponding figures for the control class were 46.16, 27.84, 9.13 and 9.19. The mean post-test scores of the experimental class were higher than those of the control class. This paper's teaching method can guide students' teaching interaction, enhance students' interest in English translation, and enhance the classroom teaching effect.
Modern garden design thinking and practice based on spatial information technology
Authors: Yang Chao
Published: October 2023

The construction of a garden image classification model is done by combining spatial information technology and analyzing the process of hyperspectral classification of garden images is the main focus of this paper. The linear transformation of the image is performed by principal component analysis to achieve the effect of reducing image dimension. The SVM classifier is used to classify the garden images, and the hyperplane is found in the sample space to distinguish between positive and negative cases. Using a simple linear iterative algorithm, the image superpixels are segmented, and the information contained in them is fused with the features of the hyperspectral image. The positioning of the hyperpixel block impacts the calculation of the mean hyperspectral feature value for each hyperpixel region. The results show that a well-rounded designer needs to achieve 70% aesthetics and 80% rationality to present modern garden design.
Construction of a linguistically interactive thesaurus for English second language acquisition based on an eigenvalue-fitting superiority algorithm
Authors: Li Xuan , Zheng Hongxia
Published: October 2023

This paper completes the overall design of a linguistic interactive terminology database based on the characteristics of second language acquisition and terminology and completes the construction of the terminology database by combining a goodness-of-fit detection algorithm based on terminology eigenvalue extraction. The efficiency of terminology information recognition is analyzed and compared with the terminology conversion rate of the eigenvalue goodness-offit algorithm using a neural network learning model of long and short-term memory to optimize the performance of the terminology database. The metric approach's classifier performance evaluation metrics are used to compare the accuracy and recall of the two algorithms accurately. The results show that the accuracy of the fitted superiority classifier with the application of word eigenvalue embedding compared to the LSTM classifier for the classification of electric power terms is improved by about 11% in all categories, and the average accuracy of the classifier exceeds 76.5%.
Innovative Research on Teaching English for Intercultural Communication Based on Intelligent Assistive Algorithm
Authors: Wang Lina
Published: October 2023

This paper firstly analyzes the development needs of intercultural communicative competence of college students and constructs an integrated model of English teaching development based on the theory of intercultural communicative competence. Secondly, the evaluation index system is constructed for the model, and the subjective and objective weights are determined by using fuzzy triangular theory and entropy weighting method under an intelligent assisted algorithm the combination of weighting is assigned based on game theory to enhance the accuracy evaluation of the indexes. Finally, the TOPSIS evaluation was used to complete a comprehensive evaluation of the integrated model of English teaching development. The results show that the weights of teaching methods and contents are 0.3382 and 0.2818, respectively, thus indicating that the model given in this paper is conducive to the correct evaluation of the innovation of teaching English as a foreign language with intercultural communication.
Study on the application of data visualization technology in human resource management and employee turnover prediction
Authors: Ge Hongyu
Published: October 2023

This paper presents a method to process the dataset of departing employees. The clustering categories of separated employees are accurately determined by fuzzy c-mean clustering and improved clustering FCM algorithm, and new samples of separated employees are generated using SMOTE algorithm to reduce noisy data. The kernel function trick of SVM is used to achieve clustering oversampling, improving classification accuracy. For imbalanced data, this paper uses a new integrated learning algorithm for constructing evaluations, PIBoost, combined with a full-sample cost-aware weight algorithm to improve the generalization ability of the SVM classifier, which has better classification results for various data sets. In the model performance comparison, K-AFCM-SMOTE-SVM has the highest accuracy with a value of 0.89. In the ten-fold cross-validation accuracy comparison, the K-AFCM-SMOTE-SVM model has a better overall performance index than the other two, with an average cross-validation accuracy of 0.932.
The Path of Civic Education and Intelligent Strategies for Counselors in the Background of Artificial Intelligence
Authors: Dong Ting , He Tao , Pang Feixia
Published: October 2023

In this paper, starting from Civic Education under the conditions of artificial intelligence application, an intelligent platform for counselors is constructed as a path for Civic Education, in which Spark’s big data platform is used to collect and organize the data. A collaborative filtering recommendation algorithm with a hybrid self-coding network model is proposed, and a recommendation service framework is built based on this algorithm and recommendation algorithm evaluation index to realize personalized recommendations of educational resources. The empirical analysis was conducted for the platform constructed in this paper, and the results showed that the intelligent platform for counselors and the learning analytics platform were used by most teachers of college Civics courses, accounting for 55.64% and 43.25%, respectively, and compared with the traditional teaching mode, the intelligent platform teaching was more popular among teachers and students.
Construction and Application of English Smart Classroom Teaching Model Integrating MOOC and Flipped Classroom
Authors: Fan Junming
Published: October 2023

This paper first builds a mobile teaching platform based on the teaching mode of MOOC and flipped classroom and designs functional modules such as system management, course transmission, course design and user experience. Then, it analyzes the characteristics of students' learning behaviors using the xgboost algorithm and teaches English in innovative smart classrooms. The mobile teaching platform created for this paper is evaluated in terms of learners' examination and video-viewing behavior. From the learners’ examination behavior, the non-perfect score rate gradually declines from the highest value of 41.56% in Chapter 1 to the lowest value of 17.64% in Chapter 5, with a small fluctuation in the last chapters. This shows that the mobile teaching platform for MOOCs and flipped classrooms constructed in this paper can facilitate intelligent English classroom teaching innovation.