bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on virtual color restoration algorithm for printmaking art images based on semantic segmentation and convolutional neural network
Authors: Wang Yongbo 
Published: September 2023

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.