bluuebunny/crossref_metadata_2025 huggingface dataset:
Research, analysis and optimization of the drive characteristics of the drive wheel of the machine tiller based on SPH method
Authors: Li Zhongzhi
Published: September 2023

The boat tiller (machine tiller) uses the floating working principle to make the hull and drive wheel bear the general tractor drive wheel load and drive two functions, respectively, so that it has good applicability in the operation of deep muddy foot water field, which greatly improves the tillage efficiency of China’s water field farming. The drive wheel is an important component of the machine tillage boat; its structural parameters have a significant impact on the driving performance and efficiency of the machine tillage boat. In this paper, combined with the kinetic analysis of the drive wheel, a single-wheel leaf-soil smooth particle hydrodynamic model of the drive wheel is constructed based on the SPH method, and the influence of the parameters of the wheel spurs of the drive wheel unit group on the driving performance is analyzed, and the drive wheel mechanism parameters with the best driving efficiency are finally obtained through simulation analysis. The research results show that the maximum propulsive force of the optimized single-wheel blade structure increases by 35.8% compared with that before optimization, the slip rate decreases by 3.9% compared with that before optimization, and the driving efficiency increases by 14.4% compared with that before optimization. The structural design and parameter selection of the drive wheel of the research results of this paper provides a certain theoretical basis, which is of great significance to the later improvement of the drive efficiency and performance of the drive wheel of the machine tiller in paddy soil.
Design of automatic tobacco trash detection system based on quadratic fuzzy theory
Authors: Jin Zhenxun , Wang Wei , Wang Youli , Wang Gang , Zhang Qiang
Published: September 2023

Fuzzy sets and deep learning models have accurate recognition accuracy in automatic detection. To be able to accurately identify tobacco debris and improve the quality of cigarettes, this paper proposes the design of a tobacco debris detection system with a deep learning model and fuzzy quadratic theory. The collected data is stored to AL422B by quadratic fuzzy set timing conversion, the cached image data is read by the microcontroller, the image pixel points are output, and the external controller and internal registers are set to read the tobacco image. The integrated Thumb extended instruction set to obtain the CPU clock frequency makes the controller interrupt and ensures PWM output. Integrate the internal fixed oscillator and external integrated control circuit to debug the program interface circuit to prevent power on and off misoperation. The negative log-likelihood function is obtained by following the activation rules given by the visible layer and hidden layer activation functions. The RBM is trained by quadratic fuzzy set estimation to optimize the parameters; test sample sets appear overfitting, combined with DBN pre-training and fine-tuning, iterative output, and labeling target data to meet the preset requirements to achieve intelligent detection of tobacco debris. The result analysis shows that the deep learning model and the quadratic fuzzy set generalization ability and accuracy are high, the highest F-value in tobacco clutter detection reaches 100%, and the system is designed to detect tobacco clutter automatically with high accuracy and good detection of clutter.
A study on the principles of Chinese painting line drawing figure sketching techniques based on cognitive mapping constructs
Authors: Luo Hongqiang
Published: September 2023

It is the basic requirement of Chinese painting line drawing figure sketching to express its unique divine mood and spiritual quality by shaping the figure through lines. This paper constructs a figure sketching technique model based on cognitive mapping, and the constituent elements of line drawing figures are used as individuals of the genetic algorithm population. Multiple constituent elements are trained with data using a genetic algorithm, and the selection and crossover operations are continuously performed according to the fitness threshold; a particle swarm optimization strategy is added, and the principle of the line drawing technique is derived after several iterations of calculation. The performance test of line drawing and figure sketching was conducted for the research class and the control class. The experimental results showed that the control class scored 60.35 and 65.32 in the two tests, the research class scored 72.59 and 79.15, and the research class outperformed the control class in the overall average score and the average score of the six grades. It shows that the cognitive mapping construction based on which the form of line drawing is continuously enhanced and developed has strengthened the importance of line drawing and made Chinese painting line drawing figure sketching more attractive and relatively independent.
Research on the focus of national traditional sports culture inheritance based on weighted function algorithm
Authors: Deng Chengyuan , Liu Yang , Cheng Lifen
Published: September 2023

In order to make the traditional national sports can be inherited in a lasting way, this paper focuses on the study of national traditional sports culture inheritance from the perspective of moral education. Firstly, we add the teaching content of traditional ethnic sports in physical education courses; secondly, we use the weight update method and base classifier in the weighting function to improve it. And finally, we use the system to conduct experiments. The results show that the teaching experiment of pearl ball as the teaching content of public physical education courses can better improve students’ performance in 4 qualities, and the improved teaching mode can promote students’ learning attitude towards physical education. From the perspective of cultural inheritance, it is of practical significance to explore the new mode of national traditional sports education in colleges and universities under the new conditions of the times in order to inherit traditional national sports and enrich the cultural connotation of college students.
Research on virtual color restoration algorithm for printmaking art images based on semantic segmentation and convolutional neural network
Authors: Wang Yongbo
Published: September 2023

In this paper, semantic segmentation based on a convolutional neural network is used to guide the image color restoration process. In order to avoid the problem of content mismatch, higher-order features are first extracted from the basic dimensions of the input image, and the convolutional operation is done on the feature map by the excitation function. Then the network parameters are optimized and updated by the backpropagation algorithm to minimize the error between the prediction result and the real result. Finally, in image processing, the dilated convolution technique is introduced to perform noise reduction on the semantic segmented image pixels to optimize the restoration quality. In order to prove the effectiveness of the method in this paper, an experimental analysis of the method is conducted. The experimental results show that the peak signal-to-noise ratio of the model proposed in this paper is higher than 42.986db on average, the structural similarity reaches 0.8%, and the fit is around 0.75. And its color difference can reach at least 11.2% with the increase of iterations. It indicates that the reduction algorithm of semantic segmentation and convolutional neural network greatly improves the accuracy of color reduction results and can obtain printmaking images with higher color quality.
Exploring the creation of films based on digital media technology
Authors: Peng Xiao
Published: September 2023

Digital media is an inevitable product of the development of information technology, and the emergence of this art has brought new opportunities and space for the innovative development of the film industry. This paper constructs a film creation model based on digital media technology and analyzes its data set using data mining algorithms. Firstly, the digital media is set as a matrix to calculate the similarity, and a subset of attributes is calculated using cosine similarity and Pearson coefficient to extract the indistinguishable relationship of rough set theory. Then the information entropy calculation scheme is reset, and the specific process of the data mining method is given. Finally, the mining is carried out for six data subsets, from which the importance of the integration of digital media and film creation is known. The results show that the sound and picture fluency tests of the frames in the film creation using digital media technology reached 8 frequencies for all three kinds of audio during the sound test. The picture smoothness of each frame of the film creation work met the design standard of >16.67ms/frame. Therefore, the combination of digital media art and film creation in modern film creation can not only promote the development of the film industry but also enhance the aesthetic ability of the audience to a certain extent.
Research on the integration path and expected effect of university civic education and music teaching based on information fusion technology
Authors: Jiang Yan
Published: September 2023

In order to better promote the work of civic education, all other courses share the responsibility of civic education. Using information fusion technology to integrate cloud classrooms and rain classrooms, we construct a strategy to realize the fusion path of civic education and music teaching based on the catechism. The K-modes algorithm is improved based on the basic idea of k-means, and the expected effect of the fusion path is evaluated using the algorithm and the learning evaluation model based on the hierarchical analysis method. The results showed that the integration path resulted in more than 70% of teachers’ evaluations being qualified, students’ evaluation scores in music increasing from no more than 70 to more than 85, and the average rating of overall quality increasing from 66.98 to 77.45. It can be seen that the proposed pathway organically integrates aesthetic and moral education, which enables students to improve their artistic and moral qualities and achieve all-around development in the process of music teaching.
The construction of a shared resource base of enterprise financial informationization for intelligent terminal platform
Authors: Chen Mangmang
Published: September 2023

This paper uses an adaptive load-balancing algorithm to calculate an intelligent terminal platform on the basis of an enterprise financial information-sharing model. Firstly, a new server performance evaluation index is established based on the hierarchical analysis method, and the load performance of each node is reacted using the influence factors. Then a judgment matrix is constructed for the set of evaluation factors based on the change in the average load utilization rate of nodes. Finally, the results of the matrix are normalized to derive the evaluation weights of each node of the server, which completes the construction of the intelligent terminal platform. An enterprise’s quarterly bills for 2018-2020 were selected for analysis, and after running the financial information sharing, the processing time of a single voucher could be saved by 0.3 hours. It shows that the constructed information-sharing resource base can not only significantly reduce operation costs but also access the business data of subsidiaries at any time to effectively prevent operation risks.
The introduction and cultivation of intercultural communication in undergraduate German language teaching process based on big data technology
Authors: Tian Ruli
Published: September 2023

In this paper, we first obtain the most representative subset of learning behavior features from big data and evaluate each feature value using a genetic algorithm to obtain its weight parameter. Then a similar least squares method is used to establish behavioral performance indicators through temporality, and the loss function is used to classify the indicators to obtain accurate teaching parameters. Finally, the K-means algorithm is used to mine the spacing distance of different log data and obtain the corresponding temporal feature vector to the learning behavior data with similarity. The application effectiveness of this teaching platform was tested, and the results showed that the propagation time of the big data platform takes only 112ms, the start-up time is 158ms, and the highest access number ratio can reach 0.82. The passing rate of students using this platform is as high as 73% on average, and the average length of independent learning reaches 6.5 hours. It shows that the online German teaching platform built on the basis of big-number technology has cultivated students’ international vision and cross-cultural communication skills.
Research on localization and navigation methods for intelligent terminal devices oriented to multi-source fusion technology
Authors: Guo Yuzhen , Zhang Xiangwei
Published: September 2023

In this paper, GPS, WLAN, and INS are used as positioning information data sources, and multi-source fusion technology is used to build an intelligent positioning navigation device. The feature vectors of the original data are observed using the federal Kalman filter algorithm, and the information is continuously updated to assign weights to achieve the optimization of the positioning information. The three-dimensional information of the defined position is measured using the CNN algorithm, the faulty data in the filter is detected and removed, and the detected data enters the main filter instead of the faulty data for fusion. To prove the effectiveness of the device, experimental analysis is performed, and the results show that the device provides diverse, intelligent services with up to 95% localization accuracy and stronger signals.
Application of graphic image processing technology in 2D game interface design
Authors: Liang Yong
Published: September 2023

This paper uses big data information processing techniques for the underlying algorithm of interface interaction, calculates the number of game interface data points, and satisfies the hierarchical feature distribution of interface interaction. Using cross-compilation for information clustering, identifying fuzzy clustering central function feature classification, describing the underlying data statistical independent variables, and extracting graphical local feature information. Balancing constraint encoding and dictionary coefficient weighting parameters, processing edge feature images, and matching grayscale transformed image effects are conveyed. The results show that the image graphics technology has an accuracy rate of 87.25% for image recognition, the user satisfaction rate for the 2D game design interface is 78.60%, and users aged 30-40 are the largest group of game consumers. It indicates that graphic image processing technology can collect and obtain relevant information and data, thus providing important technical support for the development of the social game industry and promoting the deepening development of an information society.
Computer vision-based image data processing of digital media video images with ultra-clear picture quality
Authors: Liang Yong
Published: September 2023

To improve the clarity of video images and reduce subtle content omission, this paper transforms video images into data supported by the system for recognition through computer vision techniques, quantifies the gray pixel levels, and obtains a two-dimensional array image. The direction constraint is added to the constraints to construct the DOG video image pyramid and search the extreme value points of the target image to get the projection space of the unmixing matrix of the image. The median value of the window is selected as the filter output, the image edges are sharpened, and the image details are enhanced by combining with the inverse Fourier transform to complete the video image data processing. The results show that the average processing vector time is 4.74µs, the image data processing time is short, and the image picture quality is high definition.
Research on the intelligent management mode of university education and teaching for innovative talents cultivation strategy
Authors: Zhang Wei
Published: September 2023

Subject-specific education and quality management in higher education institutions are crucial to the cultivation of innovative talents. This paper constructs a GCEF talent cultivation model consisting of government, school, enterprise, and family to improve the quality of cultivation. It evaluates the teaching management system, promotes the construction and development of faculties, determines the weights with an index system and hierarchical analysis, and adds special quantitative items to make the evaluation more relevant. The study shows that the school plays the biggest role in talent cultivation, reaching 50%. The new model of teaching management in colleges and universities is able to develop sustainably and give full play to its service and professionalism.
Research on the Analysis of Efficiency and Potential Prediction of Cross-border E-Commerce Trade of Agricultural Products in West Anhui Based on Improved DEVA Model
Authors: Wang Huawei , Liu Yanan
Published: September 2023

This paper uses an improved DEVA model and stochastic frontier gravity method to combine natural and inefficient influencing factors to measure the optimal trade potential using cross-border e-commerce trade volume so that the stochastic disturbance term obeys a semi-normal truncated distribution. The optimal export value in cross-border e-commerce is calculated based on the trade inefficiency term to derive the factors affecting agricultural trade. The results show that the development scale of cross-border e-commerce trade in agricultural products continues to expand, and the export trade volume in western Anhui Province increased by 940,000 yuan in 2018, and the trade efficiency value fluctuates between 0.11 and 0.20. Strengthening control and improving the cross-border logistics system can help promote the high-quality development of cross-border trade in agricultural products and promote the construction of rural revitalization.
Visual learning analysis of physical virtual simulation experiments based on heterogeneous data features
Authors: Tao Guanqi , Wang Yinshu , Fan Yina
Published: September 2023

In order to provide a way to develop the teaching effectiveness of physics experiments, this paper optimizes the platform search engine by combining heterogeneous data features and representing document information as feature vectors based on visual learning analysis methods. The algorithm is dynamically adjusted according to the authority to build a network database. And the virtual physics experiments have interacted with virtual experimental equipment to build a physics virtual simulation experiment platform. The results show that the overall level of visual student portrait analysis is above 40%, and the average completion efficiency of visual evaluation tasks 1-9 is 87.9%, which helps the digital transformation and upgrading of experimental physics teaching and promotes the construction of high-quality virtual simulation experimental teaching system.
A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
Authors: Zhang Bo
Published: September 2023

In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is derived by combining the radial basis network input implicit layer node parameters. The hierarchical analysis method was used to split the psychological data, and the Lagrange multiplier method was used to reconstruct the psychological space, and it was found that the overall work stress index of women was 78.97 points, and there was no significant difference in the factors of the symptom self-rating scale. It is suggested that enterprises should offer psychological counseling courses, equip professional psychological counselors, scientifically guide employees’ psychological states, and create a gender-equal corporate culture atmosphere.
Localized Imagery and Narrative of Chinese Contemporary Oil Painting Based on Big Data
Authors: Li Hui
Published: September 2023

In this paper, a dataset is obtained by clustering data through a big data clustering algorithm, and a multidimensional state space vector with chaotic trajectories is established by reconstructing the phase space after several iterations to calculate the maximum and minimum similarity distances. The clustering between the localized imagery and narratives of contemporary oil paintings is realized based on the extracted chaotic associative dimensional features. A total of 80 students from an art class at a school were selected to conduct an imagery analysis of the cultural roots of imaginative oil painting narratives, in which the evaluation score of the research class in the imagery of shape and color could reach 10 points. Therefore, the localization of oil painting is a theoretical concept for a Chinese oil painting to go global, which meets the realistic needs and development trend of Chinese oil painting.
Optimization of the development path of integration between folk art and contemporary textile industry in Shandong based on BOPPPS model
Authors: Zheng Qian
Published: September 2023

In this paper, the BOPPPS model is used to improve the curiosity of trainees, determine the learning objectives, adjust the depth and progress of the course, and achieve the innovative development of the complete teaching process. The data of textile industry and fine arts trainees are collected, the least squares estimator of variance vector is calculated, and the industry integration development path covariates are obtained by combining the principle of great likelihood ratio to determine the change of linear relationship between the two and achieve the optimal development path. The results show that after the teaching of BOPPPS model, the control P value of trainees’ performance is less than 0.05, which contributes to the cultivation of trainees’ innovative thinking, thus promoting the integrated development of Shandong folk art and contemporary textile industry and improving regional economic benefits.
Analysis of the application of BIM technology in the combination of interior design and smart home
Authors: Hong Ying , Peng Maolong , Zhao Lan , Zhao SiJie
Published: September 2023

This paper aims to explore the application in the combination of interior design and smart homes and constructs an intelligent algorithm of BIM+4D technology by analyzing BIM technology and its application in interior home design. The mathematical relationship of design duration is established on the basis of BIM+4D. Studied the system of BIM+ in interior home design and set up the standard and template of the interior home. The BIM+4D technology intelligent algorithm is used to analyze the survey data and verify the feasibility and development of BIM technology in the combination of interior design and smart homes. The result data shows that the amount of investment in smart home functions is increasing year by year, among which the amount of investment in smart home appliances has been at the forefront. Among the smart home functions, smart home appliances account for the highest percentage, accounting for 80; smart temperature control accounts for 50%, and smart audio accounts for 40%. Home Design VR and AR input amount growth rates of 10%, 20%, 40%, 50%, and 40%, respectively. The research in this paper is beneficial to promote better integration of interior design and smart homes.
Research on the development of digitalization of art education in the era of big data technology
Authors: Li Jianhui
Published: September 2023

Exploring the digital development of art education can effectively enhance students’ creativity in art design. This paper constructs a digital teaching platform for art education based on big data technology and analyzes student learning behavior data in the teaching platform. For student learning behavior with a new Hawkes process for data extraction, the decomposition of the student learning effect is realized by data encoder, event-level decoder and course-level decoder. Performance tests and art teaching effect analysis were conducted for the platform built in this paper. From the performance test, the throughput of the test interface is 580 when the server CPU is maintained at about 26%, memory is maintained at about 48.62%, and load is maintained at about 4.7. From the teaching effect, the four dimensions of students’ creativity changes had significant differences; namely, the p-values of adventurousness, curiosity, imagination, and challenge were 0.189, 0.247, 0.076, and 0.425, respectively. This indicates that the digital teaching platform for art education built by using big data technology can effectively enhance students’ creativity and also provide a new direction for the digital development of art education.
Research on the role of psychological education in college Civic Education under the background of Internet
Authors: Guo Wei
Published: September 2023

Psychological education in colleges and universities can inject new vitality into Civic Education. In this paper, the ridge estimation of regression parameters is based on the linear regression model, the canonical form of ridge regression is constructed, and the selection method of ridge parameters is proposed by combining the ridge trace plot and the Mcdorard-Garaneau method. The prediction accuracy of the ridge regression is optimized by using the idea of partial least squares for the shortcomings of the general ridge regression. After completing the improvement of ridge regression, the quantitative evaluation indexes of psychological education and Civic Education in colleges and universities were established, and the influence of psychological education on Civic Education was studied through regression analysis. The correlation coefficient R of faculty and hardware construction of psychological education on the content richness of Civic Education reached 0.725, and the standardized regression coefficient T of the former was −0.357, while the latter was −4.257, and the former was more significant than the latter. Meanwhile, the regression coefficients of organizational management and institutional setting, faculty construction and work organization and effectiveness on the level of college students’ psychological education were 0.54, 0.26 and 0.24, respectively, with significant joint effects. This study realizes the quantitative analysis of psychological education influencing Civic Education, which helps to promote the integration and development of psychological education and Civic Education.
Research on green-driven product value creation process
Authors: Zhu Li
Published: September 2023

With the rapid economic development in recent years, environmental problems such as environmental pollution, resource waste, greenhouse gas emission and habitat destruction caused by production activities have become increasingly serious. This paper carries out a systematic analysis of the endogenous growth model of product value under green-driven innovation and constructs the product R&D module, production module, raw material supply chain module and marketing module, respectively, to improve the final product value. Finally, with the design and analysis of case-related indicators, combining the characteristics of Company H itself and the availability of data and other factors, suitable indicators are selected to measure the ability of green-driven innovation and product value of the enterprise, and Tobin’s Q value is selected as the indicator to measure the value of the enterprise. The empirical test results show that: through green-driven innovation H company green-driven innovation Tobin’s Q value increased by 13.35 points, and the regression coefficient of green-driven innovation on product value is β = 0.613 (p<0.001), indicating that green-driven innovation has a significant positive impact on product value. This paper empirically verifies the effectiveness of green-driven product value addition, which has practical implications for strengthening the awareness of green innovation within companies and improving product value.
Assessment and Analysis of Ecotourism Resources in China Based on RIAM System
Authors: Huang Dongmei
Published: September 2023

Ecotourism resources constitute the basis of ecotourism development. This paper firstly constructs the evaluation indexes of ecotourism resources based on the RIAM model and selects three indexes of site condition resources, landscape resources and ecological environment resources to build the evaluation model. Then we use the entropy value method and hierarchical analysis method to determine the weights of evaluation indicators, construct a judgment matrix, and use the extreme value method to standardize the original data to eliminate the variability of metric units and normalize the standardized matrix to calculate the indicator weights. Finally, China’s ecotourism resources are comprehensively evaluated and scored, and typical ecotourism areas are selected to analyze their economic benefits, natural ecological index and tourism base index. China’s ecotourism site condition resources were scored as 96, landscape resources were scored as 96, and ecological environment resources were scored as 97. In terms of economic benefits, the total annual revenue of A national ecotourism site increased by 134% in 2017 compared with 2012; accommodation income decreased by 9%, entertainment income increased by 200%, other income increased by 49%, and received 167% more visitors. The RIAM-based model enables effective analysis and evaluation of ecotourism resources in China.
Application of linear ordinary differential equations to the stability control of long time lag networks
Authors: Yao Haiyan
Published: September 2023

Optimal control based on the exact synchronization of linear ordinary differential equations can provide conditions for the existence of optimal control of long-time lag network stability. In this paper, we first generalize network control systems, time lag systems, and modern control system stability theory to discuss long-time lag network stability analysis and control problems. The numerical solution method for solving ordinary differential equations with boundary conditions is proposed by combining the numerical solution method for initial value problems of differential equations and the iterative method for solving nonlinear equations. Finally, the fixed-time synchronization problem of complex networks with time-varying time lags under periodic intermittent control is studied. Two intermittent control strategies are designed based on the linear ordinary differential equation algorithm, and the convergence analysis of the synchronization error and the synchronization criterion are given. Numerical values show that the synchronization error converges to zero (< 1.0e − 5) in 0.32s, while the convergence times are 0.55s and 0.90s. The fixed times of the three methods are calculated to be T
* = 0.52, T
1 = 0.71 and T
2 = 1.32, respectively, and the synchronization error system converges faster under the method in the paper. The numerical simulation results verify the effectiveness of linear ordinary differential equations in controlling the stability of long-time lag networks.
Research on digital reform of music education resources in universities in the context of data governance
Authors: Zhang Lifang
Published: September 2023

This paper proposes the use of the Hadoop-distributed file system HDFS as a storage system for large resources in music education. In order to improve the overall performance of HDFS for storing educational resources and to solve the deficiencies of the current system. This paper provides an overall analysis of the current state of research related to the placement algorithm and data storage strategy of HDFS, respectively. After combining the characteristics of educational resources themselves and establishing an educational resource value evaluation index system, an improved placement algorithm and a hybrid redundant storage strategy based on educational resource ratings are proposed, and the proposed algorithm or strategy is simulated and implemented and verified through source code analysis of HDFS-related algorithms. The results show that the average response time for uploading 10 songs is 7.734 s, and the average response time for image retrieval is 0.768 s. In the analysis of digital music education resources demand, teachers have the highest usage rate of music teaching theory (M=3.43), 38.45% of students’ demand is mainly for downloading music, and music lovers querying popular music has the highest percentage of 19.43%. The algorithm in this paper achieves the storage load balance of each node, which basically satisfies the demand for music education resources of teachers and students in universities.
Analysis of Spatial Pattern and Geographical Divergence Characteristics of Traditional Villages Oriented to Digital Landscape Technology
Authors: Zhu Yong , Han Guoqiang , Wang Lie , Yu Shuimei
Published: September 2023

In order to study the spatial pattern and geographical differentiation characteristics of traditional villages, this paper combines digital landscape technology to analyze the influencing factors of the distribution of traditional villages. Based on multi-source data, this paper reveals the spatial pattern and geographical differentiation characteristics of traditional villages with the help of GIS, RS and mathematical and statistical methods and systematically explores the inner mechanism and laws. It also combines digital landscape technology, which is in line with the trend of the times, and designs an image visual optimization model based on digital landscape technology so as to make the experimental analysis of the distribution of traditional villages more convenient. It is obtained that the 3D modeling errors using digital landscape technology are all lower than 1.12%, the 3D modeling errors of the overhead GIS 3D modeling method are between 3.21% and 4.58%, and the 3D modeling errors of the digital photography 3D modeling method are all higher than 4.82%. The distance from the urban center, population density, ethnic distribution, and average annual temperature was the main influencing factors, all of which exceeded the explanatory power of 0.4. Average annual rainfall, administrative center, and GDP per capita were the secondary influencing factors, with explanatory power over 0.15. Based on this study, the spatial distribution density of traditional socio-economic villages was more influenced by socio-economic factors, followed by physical geographic factors.
Research on service quality evaluation and improvement strategy of Chinese civil aviation based on DEA model
Authors: Wu Xiaohua , Yang Xiaobo
Published: September 2023

This paper aims to improve the service quality of Chinese civil aviation and objectively evaluate the service quality of Chinese civil aviation through the DEA model. Based on C
2
R model and C
2
GS
2 model, the DEA model is optimized and improved to establish C
2
WH model. Based on the principle of the gray correlation cone of constraints, a gray correlation cone of constraints DEA model is established, and the optimized DEA budget process is constructed. Using the gray correlation constraint cone DEA model to budget and evaluate the service quality data of Chinese civil aviation, combined with the data analysis, the strategy to improve IT intelligence and flight transit service level is proposed. The results show that the items of baggage claim speed, security check waiting time and the Internet have the lowest scores, which are below 4.40. Catering facilities and charges and flight information screen also scored low, below 4.45. The number of passengers checking in for their boarding passes through self-check-in is growing rapidly at a rate of 18%, with this segment exceeding 50% of total passengers. Airport signage optimization resulted in a 45% reduction in airport traffic. This study is beneficial to improve the science of service quality evaluation of civil aviation in China.
Analysis of the Construction and Course Effectiveness of the Online Course Platform for College Piano in the Background of the Internet
Authors: Xu Ruipin
Published: September 2023

Internet technology continues to develop and deepen, course learning methods present diversity, and piano courses are an important way for colleges and universities to carry out students’ musical quality training. In this paper, we first propose a behavioral sequence analysis method for predicting students’ online course performance in the context of the Internet for college piano online courses. The sequence-based prediction task is divided into two stages in total. In the first stage, the sequence characteristics of students’ online course learning behaviors are predicted by mining the potential expressions of the implicit layer through deep RNN. In the second stage, the support vector machine is used to create an optimal segmentation hyperplane. The SPC two-stage classifier is able to predict student course grades in order to identify students with learning crises in time. Then a layered MVC model is used to design the university piano online course platform system. Finally, the performance of the platform and the effectiveness of the course were tested. When the number of concurrent users reached 150, the success rate of the server in processing transactions remained at about 96%, and the pre-test and post-test of students’ piano scores showed that the mean value of score-reading skills was 34.32 in the pre-test and 45.63 in the post-test, with a mean value improvement of 11.31. The study showed that the online course client had high operational performance and the online course could effectively the study shows that the online lesson client has high performance and the online lessons is effective in improving the students’ piano performance.
Analysis of digital cloud accounting incorporating data mining technology in corporate investment decision making
Authors: You Lu
Published: September 2023

This paper analyzes enterprise investment capability based on quantitative analysis under data mining technology and selects cash flow as the key indicator of enterprise investment to make a predictive analysis of enterprise cash flow. The system of enterprise investment capacity indicators is constructed, and the relationship between cash flow and each quantitative is analyzed by the regression model. The case analysis of the enterprise financing structure and the risk of bank financial indicators were conducted separately, and the results showed that the financing structure of enterprise A was dominated by long-term borrowing, which accounted for more than 60% every year, followed by bonds payable, which accounted for between 10% and 30% every year. The return on assets of Bank A is between 15% and 20%, much higher than the other two banks.
Application of modern architectural color layout in interior design
Authors: Xue Lingya , He Caikao
Published: September 2023

In this paper, architectural color is analyzed, and architectural color perception based on matrix decomposition is constructed. Then, a matrix decomposition-based color layout recommendation model for modern architecture is constructed by determining the user’s architectural color perception interest points. In order to better apply the model to interior design, a 3D interior scene is built and the color of the interior is optimized with the help of cross-sectional ring blending, and the model is combined with interior color design to build an interior intelligent recommendation interaction design algorithm model. And through the experimental analysis of color layout intelligent recommendation, it is concluded that the algorithm constructed in this paper improves by 10.8% in the N@10 dimension and 11.2% in the N@30 dimension. When data are scarce, the robustness is 0.091 for the number of interaction experiments 0-15 times in the R@10 dimension and 0.067 for the number of interaction experiments 30-35 times in the N@10 dimension. People are 17% more satisfied with its interior color layout, 22% more comfortable, 19% more surprised, 18% less disappointed, and 24% more infectious. Modern architectural color layouts based on the Internet context can optimize the interior color design.
Airpak-based art and design talent training innovation model framework
Authors: Qiao Hui , Jang Dongyeul
Published: September 2023

In this paper, the 15 original variables of the Airpak-based influence factor scale for art and design talent training were first determined, and the five-level scoring method was applied to score the 15 influence factors. Then, we used factor analysis to factorize the data, standardize the sample data, construct a coordinate system with common factors, and use the projection of each variable in the coordinate system instead of the original variables to construct the correlation coefficient matrix R. Then, we solved the correlation coefficient matrix between each variable, selected the number of common factors, and calculated the eigenvectors of the factor loading matrix A to construct the influence factor analysis model. Finally, the model is used to analyze the weight of each influencing factor of Airpak-based art and design talent cultivation and to build an innovative path for talent cultivation. In terms of students’ own factors, the influence weight of learning enthusiasm on talent cultivation is 0.48, and the influence weights of learning achievement and design talent are 0.43 and 0.545, respectively; in terms of teaching level factors, the influence weights of teachers’ teaching ability, professional level and design experience on talent cultivation are 0.44, 0.5 and 0.37 respectively. The research of this paper has an important reference and reference value for the cultivation of art and design talents.
Online cloud management and quality monitoring of the whole process of undergraduate thesis
Authors: Huang Meizhong , Wang Yunpeng , Dai Xin , Chang Jing
Published: September 2023

The undergraduate thesis is an important practical teaching part of the undergraduate teaching program, and it is important to manage its quality. In this paper, an online cloud management system for the thesis is designed according to the requirement analysis, and the ARIMA model in time series is used to predict the number of thesis supervisors by the supervisor and give a reminder for the supervisor’s guidance decision. For the risk management of dissertation progress, a Bayesian network-based assessment method is proposed. From the perspective of dissertation similarity, a process of dissertation quality analysis based on the SimHash algorithm is constructed. The average error rate of ARIMA is only 0.190, which is optimized to a certain extent compared with other algorithms. 20 samples of the inference operation results have no sample with the probability of the dissertation progress delay level at High below 40%.
Exploration of the development path of university thinking and political education in the background of Internet
Authors: Li Siqi , Tang Xuemei
Published: September 2023

The effective development of Civic Education work in colleges and universities can promote the cultivation of high-quality talents. Starting from Internet information technology, this paper constructs a digital platform for Civic Education work, in which Shannon’s theory and balanced power allocation are used to optimize channel transmission and enhance the loading speed of Civic Education resources. The XGBoost algorithm is used to effectively cluster students’ learning behaviors as a way to help Civic Education workers understand students’ learning behaviors in Civic Education. The results show that the average response time is 0.327s, and the maximum throughput is 11849.478 bytes/sec. The prediction accuracy of the XGBoost algorithm for student learning behavior is 4.65%, 9.79%, and 21.79% higher than that of LR, RF, GBM, and Stacking classification models, respectively. 9.79%, 21.41%, and 13.5%, respectively. This shows that the university’s thinking and political education work can be developed through the direction of the digital Internet platform, which in turn provides a new research path for the reform and innovation of thinking and political education work.
Exploring the Innovation Practice of Teaching Civics Education in Universities in the Network Era
Authors: Li Siyang , Lin Jing
Published: September 2023

One of the key difficulties confronting universities today is how to use the current technology to raise educational standards and support educational reform. This is due to the ongoing growth of network technology. This study primarily explores the collaborative filtering recommendation algorithm-based recommendation model for college civics teaching materials. Analyzed are both the functional and non-functional demands for collegiate civic and political science teaching materials. For these requirements, the collaborative filtering recommendation algorithm is put out, and it is enhanced so that it may be applied in real-world settings. In order to execute the model, the system architecture and process are established, and the impacts of teaching interventions are used to examine the outcomes of the suggested practical teaching of civic and political science teaching materials in colleges and universities. The findings revealed that the p-values of the significance probabilities were, respectively, 0.056, 0.007, and 0.235 for the entrance exam and the first semester final examination, the entrance examination and the second semester final examination, and the first semester final examination and the second semester final examination. The collaborative filtering recommendation algorithm-based recommendation model for teaching resources recommendation of university thinking and politics proposed in this paper is effective in enhancing students’ learning autonomy and promoting the exchange of ideas. It has a certain effect.
Current situation and reform trends of physical education teaching evaluation in the context of deep learning
Authors: Miao Lianjin
Published: September 2023

Based on the conventional genetic algorithm, this work suggests an adaptive variation genetic algorithm (AGA), which increases population diversity and speeds up convergence by increasing variation probability. The entropy approach is used to first assess the caliber of physical education and to produce a priori assessment samples. It is combined with the AGA-BP model based on adaptive variation probability. The BP neural network is then utilized for assessment learning in the field of evaluating the quality of physical education. It is optimized by an adaptive variation-based genetic algorithm. Finally, student physical activity levels were assessed both before and after the physical education reform using a more thorough and scientifically based EM-AGA-BP teaching quality evaluation model. The findings revealed that, at 41.2% and 53.4%, respectively, the percentage of students’ static activity time after the reform was much lower than that before the reform. By using independent samples t-tests, each revealed significant differences (P 0.05).