bluuebunny/crossref_metadata_2025_split huggingface dataset:
Color and composition under big data technology: the art of visual communication in film art
Authors: Yu Shuyao 
Published: June 2023

Abstract
In modern film art design, there are different kinds of art requirements to be involved. These artistic requirements embody our profound national culture in modern film art, making the organic combination of art and culture, which in turn achieves the promotion of art and provides more excellent traits for the development of modern film visual communication. At the same time, modern film design draws on traditional art from five aspects: composition, perspective, image, color and allegory, and applies its advantages and strengths completely to the process of modern film art design. Among them, the most important is the modern color and composition design. To illustrate the art of visual communication in film art cannot be separated from color and composition. In this paper, we analyze the dynamic changes of higher-order aberrations of near-eye and ortho-eye groups over time, find the turning point of the dynamic changes of higher-order aberrations, and compare the differences between the dynamic changes of higher-order aberrations of the two groups by interaction analysis. By analyzing the application of modern color and composition design in film, it is concluded that the art effect of modern film is inseparable from the design elements, and the color and composition influence caused by the product of the combination of design elements for human senses.
Big data analysis based on the correlation between live-streaming with goods, perceived value and consumer repurchase
Authors: Xu Minmin , Chen Pingping 
Published: June 2023

Abstract
Clarifying the correlation between live banding, perceived value, and consumer repurchase is to enhance the economic benefits of live banding better. In this paper, a K-nearest neighbor classification algorithm is proposed in the context of big data analysis technology, and the principle and distance criterion of the algorithm are explained. Then the KNN algorithm is optimized using the Gaussian kernel density function, and the optimization process of the algorithm is given. Finally, the optimized KNN algorithm is used to mine and analyze the indicators of Taobao live banding data, and the performance evaluation is also done for the algorithm. Regarding live-streaming with goods and sensory value, the ratings of A, B, C and D accounted for 38.41%, 36.73%, 34.54% and 35.4%, respectively. In terms of the association between live banding and consumer repurchase, the average value of the data is 33.46%, the maximum value is 43.65%, and the minimum value is 18.16%. Big data analysis shows a strong correlation between live banding, sensory value and consumer repurchase. Live banding enhances consumer sensory value, sensory value influences consumer repurchase, and consumer repurchase behavior promotes live banding optimization, which continuously improves the quality of the product and marketing atmosphere of live banding.
Design and Practice of Human Geography Field Teaching in the Age of Big Data
Authors: Liu Yan 
Published: June 2023

Abstract
Humanities geography field practice is an important part of teaching, and this paper aims to study the design and practice of humanities geography field teaching in the era of big data. Starting from the application scenario of big data in geography teaching, this paper optimizes the GMM data clustering analysis by using the EM algorithm and analyzes the humanistic phenomena in Zhaotong City, Yunnan Province, based on the EM-GMM model, especially the rural economy and agricultural development of Zhaotong City, and then optimizes the field teaching design and practice based on the solid data support. From 2016 to 2020, the gross agricultural product of Zhaotong City increased by 4.40%, 9.62%, 14.86%, and 16.56% year by year, while the average annual decrease of crop sown area was 12,200 ha. At the same time, forestry, pastoralism, and fisheries, in general, are growing, with average annual growth rates of 17.18%, 7.95%, and 25.26%, respectively. Based on big data, we can establish a comprehensive and accurate data-based model of human phenomena in the study area to scientifically set up field practice routes, observation targets, and practice directions, which will help improve the effectiveness of students’ field practice.
Analysis of the factors influencing the development of college students’ Civic Science course based on ISO model
Authors: Yu Yijun , Cao Zhen 
Published: June 2023

Abstract
Civic course is an important guarantee for college students to form a correct outlook on life, values and worldview, and the construction of college students’ civic course is one of the key tasks in the construction of college curriculum system, so the analysis of the influencing factors on its development becomes an inherent requirement for the reform of college civic course. Based on the ISO (International Standardization Organization) model and the gradient theory, this paper applies the neural network method to combine the associative memory model with the fuzzy comprehensive judgment to make a comprehensive analysis of several influencing factors that affect the development of college students’ thinking and political education and propose an effective evaluation method. The case study shows that the proposed evaluation method based on the ISO model not only promotes the smooth development of college students’ civic course, but also provides some reference for the teaching diagnosis and improvement of college civic courses, which has an important role and significance.
Fractional Differential Equation in the Cost Control System of Cross-Border E-Commerce
Authors: Yu Lulu 
Published: June 2023

Abstract
This paper establishes a cost management model of cross-border e-commerce based on a fractional differential equation. Firstly, this paper constructs a fractional differential equation game model of the platform’s evolution and consumer and government regulation. Then this paper studies each participant’s interests and cost control in the supervision and management of international e-commerce. Finally, this paper makes a dynamic simulation of cross-border e-commerce. It discusses the decision-making process of cross-border e-commerce enterprises in the operation factors of the alliance. Through the numerical simulation of MATLAB, it can be seen that standardized management can reduce the cost sensitivity of enterprises in a sense. The cost control system model of cross-border e-commerce based on fractional differential equation has high accuracy and strong applicability.
Data Information Security Algorithm Based on Chaos and Hash Function
Authors: Liu Hui 
Published: June 2023

Abstract
Chaotic systems are characterized by unidirectional, diffusive and initial value sensitivity of hash. Academia can use it to optimize algorithms for mathematical and computer encryption keys. This paper focuses on a hash function mixed chaotic system with a key. Then the state value and chaotic mapping relationship of the chaotic system are modified, and hash conclusions are obtained. Then the optimal design of messy technology with key hash is introduced briefly. A chaotic dynamic model with improved dynamic parameters is proposed to prevent chaos from affecting the speed and security of the algorithm. The results show that this method can effectively resist the attack of forging and peer keys. Moreover, the computation required by this algorithm is almost negligible.
Teaching Effect Evaluation of Music Education Based on Partial Differential Equation Model
Authors: Zhang Xiaobing 
Published: June 2023

Abstract
Firstly, this study uses a partial differential equation to conduct experimental research on the teaching effect of music education. Secondly, the convolutional neural network method is used to optimize the weighted factors in the traditional finite volume method. This makes the calculation results of the model more accurate under the condition of coarse particles. It is found that the model can solve Burgers and level set equations accurately and effectively. This method can evaluate the teaching effect of music education more accurately and improve students’ learning products of music.
Driving Model of Electronic Information System Based on Agent Modeling and Simulation
Authors: Lei Junli 
Published: June 2023

Abstract
It is an effective method to use Agent for modeling and simulation in a complex environment. The Repast Simphony development platform lays the foundation for Agent modeling and simulation. In this paper, a simulation model of the Repast Simphony system is developed. Then this paper constructs a new electronic information system based on the principle of a composite adaptive system. The system uses different levels of adaptive agents as the base unit. Then, the behavior and relation of agents at the same level are explained in detail, and the information transmission and mechanism of action between agents at different levels are studied. The experimental results show that the agent-based evaluation method can comprehensively consider the advantages and disadvantages of each factor, and it can evaluate other targets. At the same time, this method has higher accuracy and better adaptability.
Research and application of Augmented Reality Technology and digital media Technology in mobile visual media
Authors: Zheng Jinming , Lin Chanjuan , Ye Tingjiao , Cui Xiaojun 
Published: June 2023

Abstract
With the wide application of digital media technology and augmented reality, in order to enhance the design experience of mobile visual media design. This paper uses domain processing, point processing, big picture processing and model processing in numerical algorithms, construction of visual media images based on additive and multiplicative models, integrating the SOR model with the EDT model, build PLS model. Depending on the interactivity, patios-temporal fixity and degree of immersion of the virtual object, analyze the results of PLS experience conceptual model construction by combining system characteristics and cognitive elements of mobile visual media design. To explore the mechanisms by which digital media technologies and augmented reality technologies influence the design factors of mobile visual media, and evaluate the measurement model and structural model. The results of the evaluation found that accuracy 0.325, flexibility 0.472 and completeness 0.328 positively and significantly influenced information quality (R=0.697), system quality (R=0.52) and service quality (R=0.741). The system quality, information quality and service quality of the mobile visual media design products are guaranteed.
Research on performance evaluation and optimization of college budget management under the background of big data
Authors: Zhao Wei , Li Xiangying , Zhou Liping 
Published: June 2023

Abstract
At present, due to the limitations of technology and resources, the comprehensive budget management generally has problems such as imperfect foundation of establishment, weak binding force of execution, and lack of performance appraisal system. These problems become more prominent in the context of the era of big data. The use of big data technology, such as large capacity, real-time control, intelligent Settings and other characteristics, will be able to improve the current many problems. Therefore, this paper focuses on how to combine big data with comprehensive budget management. This paper holds that it is not enough for comprehensive budget management to stay in the current stage, but also need to use big data technology, which is a higher level of information stage. Therefore, this paper adopts the method of double subordination fuzzy support vector machine to study the effect of budget management of scientific research projects in Chinese universities. Based on the construction of comprehensive budget management performance evaluation index system throughout the whole process of college budget cycle, taking S university as an example, this paper analyzes the performance of comprehensive budget management in S university, and points out that big data can optimize and innovate the budget management mode, which has great significance for college budget management.
Analysis of rural tourism culture advertising content based on LSTM-CNN model
Authors: Cheng Jiesheng 
Published: June 2023

Abstract
Rural culture has multiple values such as history, culture, economy and ecology, which needs to be protected using utilization and be utilized through protection, so as to realize living inheritance. Developing tourism industry is not only a significant force for rural revitalization, but also a vital path for living inheritance of rural culture. The recognition of rural tourism culture advertising content is an important part of natural language processing tasks. In recent years, generic named entity recognition models based on deep learning have achieved remarkable results. Whereas, in the field of tourism, the recognition of content of rural tourism culture advertising mainly depends on feature engineering. This paper proposes a network model based on Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM). Escaping from using any artificial features, this model extracts and represents the local information features of the text through the neural network, and learns and uses the context information of the text to realize the recognition of rural tourism culture advertising content. The experimental results show that the method proposed in this paper can effectively recognize the content of rural tourism culture advertising.
Analysis of the effect of compound training for explosive power on improving the psychological resilience of football athletes
Authors: Zheng Yang 
Published: June 2023

Abstract
In view of the problem that in the training of football athletes, coaches pay attention to their football skills and physical quality and ignore their psychological quality training, which leads to poor psychological quality of the athletes, this paper studies the effect of compound training on improving the psychological resilience of football athletes in depth. On the one hand, this paper modeled human lower-limb motion chain. First of all, the explosive power of lower limbs of football athletes was evaluated, and the maximum value of the product was obtained in the power-velocity curve, which aims to further increase the velocity and power of movements. Then, the human multi-rigid body model of lower limbs was established, and the motion chain curve planning of zero-point moment and center of gravity was carried out, which transforms the motion modeling problem of human lower-limb motion chain into the basic variable set problem of human lower-limb motion state. Finally, through the basic variables planning of human lower-limb motion state, the accurate modeling of human lower-limb motion chain was obtained. On the other hand, this paper analyzed and summarized the theory that compound training is capable of improving psychological resilience of football athletes, sorted out and integrated the influencing factors of psychological resilience, and on this basis conducted research and put forward a new development direction of psychological resilience. The experimental results show that the PEM value of goal focus and emotion control is 0.82, and the PEM value of positive cognition is 0.73, indicating that athletes’ performance in positive cognition has been significantly improved. Therefore, it is concluded that psychological resilience can reduce athletes’ athletic burnout, stimulate athletes’ athletic motivation, and enable athletes to take a more positive and optimistic attitude toward training and competition, so as to achieve better athletic performance.
Engineering archive management model based on big data analysis and deep learning model
Authors: Du Shuiting , Liu Shaobo , Xu Peng , Zhang Jianfeng 
Published: June 2023

Abstract
In the background of the era of big data, the information management system of engineering archives has become more comprehensive and perfect because of the application of information technology. The application of deep learning model makes the management of engineering archives more systematic, scientific and standardized, which greatly improves the quality and efficiency of engineering archives management. The progress of society and the development of the times have put forward higher requirements for digital storage technology. This paper combines the characteristics of the new technological era, analyses the characteristics of traditional information management in the context of data processing, artificial intelligence, deep learning and other data, proposes a method for developing and managing web archives based on Bootstrapping technology, introduces an information meta-evaluation mechanism to improve the quality of mining, and uses a long and short-term memory model to extract multi-type fine-grained archival information elements in the corpus. Finally, the Alex network was established to manage the archives in a categorised manner. The experimental results show that the query results of the proposed method for the target archives are 100% accurate, and the query time for individual archives is basically within 5s, which has good management effect.
An empirical study on the economic linkage characteristics of Yangtze River port cities based on discrete second-order derivatives
Authors: Xie Fang , Song Bingliang 
Published: June 2023

Abstract
Rapid economic development cannot be achieved without a well-developed trade in goods of various forms, so it depends on the construction and development of coastal or inland ports. How to coordinate the relationship between ports and cities in the development process is of great significance to the sustainable development of port cities, and is also an important part of the current research on ports. This paper uses gray correlation model to study the correlation between city economic development indexes and port development indexes, and finds that the correlation between GDP and gross industrial output value and port cargo throughput is the largest, and on the basis of gray correlation analysis, the impulse response analysis finds that the growth of total economic volume and gross industrial output value of port cities has an obvious promotion effect on the development of ports in the short term. The research results show that the value added of Nanjing’s tertiary industry drives the port logistics of Nanjing port most significantly; the growth rate stabilizes at 0.006 after the 11th period. The growth of Nanjing port container throughput on the value added of Nanjing’s secondary industry changes most significantly and finally stabilizes at 0.0035.
Tourism architecture design strategy in tourism area planning based on G-DINA model
Authors: Bai Chaoqin , Zhang Xiaochen 
Published: June 2023

Abstract
Tourism architecture is an important material guarantee for carrying out tourism activities in scenic spots and is an important part of the tourism system. This paper analyzes the theory and structure of the G-DINA model in detail. To conceptualize the geospatial tourism architecture, form a conceptual cognition, and establish a basic geospatial tourism architecture cognitive model. Then the G-DINA model is brought into the basic cognitive model, and cognitive judgments are made using observation of tourism building features to form a G-DINA-based geospatial cognitive model of tourism buildings for planning and design of scenic tourism buildings. Experimental proof: By comparing the number of tourists in a tourist area for two months, it is obvious that the number of tourists in the second month has increased by 592 compared with the number of tourists in the first month, which is 160% of the number of tourists in the first month, and the comprehensive index of tourism economy has increased from 0.08 to 0.5, with an annual growth of 8.3%, showing a gradual upward trend in general. Accordingly, it can be considered that the attractiveness and competitiveness of tourist areas are significantly improved through the rational planning and design of tourist buildings. This verifies that reasonable design of tourism architecture and scientific planning of tourism areas can strengthen the harmony between tourism architecture and local style and surrounding environment, highlight regional characteristics and let them be inherited, and promote tourism development.
Combined application of ideological and political education and big data Internet technology in the context of education reform
Authors: Wang Xinhua 
Published: June 2023

Abstract
In the course of today’s socio-political and economic development, along with the advent of the era of big data and the internet, various ideas have emerged and more ideological content and political ideas have continued to emerge. In order to cope with this situation, education reform is constantly innovating, among which the ideological education is particularly important. Various ideological education applications have appeared one after another in the Internet, which allows ideological education to see a new direction of development. The article develops a rigorous computational analysis of the combination of Civic Education and Big Data Internet, applied to the development of a new system. Using decision tree classification algorithm, ID3 algorithm, Bayesian classification algorithm, cohesive hierarchical clustering method for a large number of experimental data processing, the system was completed to build a framework for the combination of big data and Civic Education application. Through data analysis and comparison, it is found that the application of these big data algorithms in the field of Civic Education not only provides more detailed information on Civic Education reform, but also provides objective and comprehensive feedback on the dissemination and learning of Civic Education. In the relevant feedback information, the use of Internet applications for Civic Education reached 100%, Excel was 84%, and all the learning levels of the fixed-point test could reach over 60 points. The above data shows that people have also been able to improve their learning level in Civic Education to a great extent with the Internet technology.
Correlation analysis between talent training quality and regional economic development based on multivariate statistical analysis model
Authors: Chen Jianming 
Published: June 2023

Abstract
Talent training has a strong social constraint and economic dominance, and is closely related to regional economic development with two-way interaction. Context is any information that can be used to describe the situation and characteristics of an object, including time, location, social relationships, natural conditions, and project characteristics. Regional economic development is influenced by the process of multiple types of contextual elements, but traditional development models do not consider or only take into account a single contextual element, ignoring the combined influence of multiple contextual elements. To this end, the paper proposes a model for analyzing the correlation between talent training quality and regional economic development that integrates context-awareness and random forest algorithms, modeling contextual elements as feature attributes to be considered when splitting decision trees in random forests. The experimental results show that when conducting the analysis, assigning corresponding weights to various contextual elements according to the degree of importance can improve the accuracy of the recommendations. The prediction accuracy of the random forest model is higher under different data sampling ratios.