bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the application of marketing strategy of national fitness exercise and dance events in the construction of sports culture based on big data technology
Authors: Chen Bo 
Published: April 2023

Abstract
With the rapid development of big data Internet technology in recent years, the national fitness exercise and dance competition have flourished under the strategic background of national fitness, and the scale of the event, as well as the number of participants, has grown rapidly, and the country has begun to make reasonable adjustments to the construction of sports culture and has attached importance to the reform and innovation of the work of sports culture construction. This paper uses the literature method, logical analysis method, and other research methods to analyze the position of the national fitness exercise and dance through SWOT, and formulate the marketing strategy of the national fitness exercise and dance event, to provide some theoretical reference basis for the relevant event organizers. With the marketing strategy of national fitness exercise and dance events as the theoretical basis, the hierarchical structure of the big data platform of sports culture construction system and the logical structure of the sports data warehouse are analyzed and established through the support of big data Internet technology, and finally, the data model of sports culture construction platform based on big data Internet technology is constructed. The marketing strategy of national fitness exercise and dance events is a brand new marketing model built on big data technology and modern sports marketing theory. With the development of big data Internet technology, national fitness exercise and dance event marketing will certainly bring a positive impact on the audience and promotion channels of fitness exercise events. The scope of participation expands year by year, the number of participants expands year by year, the number of participants rises year by year, etc., thus promoting the healthy and rapid development of national fitness exercise and dance event marketing and sports culture construction plays a positive role.
The construction of a practical platform for party building and ideological and political education based on information fusion
Authors: Zhang Bin , Li Yuan , Yu Yuxue 
Published: April 2023

Abstract
Party building and ideological and political education have received much attention in recent years, and the construction of its work practice platform is particularly important. In order to improve the level of party building and ideological and political education in colleges and universities, In this paper is based on the information fusion technique to fuse relevant factors after data, feature, and decision levels. Using sampling calculation, the percentage of relevant factors was calculated as 37%, 38%, and 25%, and the Kalman filter algorithm was used to test the information data. The two factors that accounted for more were selected as the platform construction indexes, and the information was fused with the maximum likelihood estimation and D-S algorithm to build the party construction and ideological and political education work practice platform. It is evident that the practice platform based on information fusion technology can promote the development of ideological and political education.
A multi-channel convolutional neural network based on attention mechanism fusion for facial expression recognition
Authors: Zhu Muqing , Wen Mi 
Published: April 2023

Abstract
Facial expressions can reflect people’s inner emotions to a certain extent, and studying facial expressions can help psychologists capture expression information in time and understand patients’ psychological changes quickly. In this paper, we establish a multi-channel convolutional neural network face expression recognition model based on the fusion of the attention mechanism. With the help of the attention mechanism and multi-channel convolutional neural network, we input expression images and perform average pooling and maximum pooling, output the features with high recognition after pooling, and identify the features with high recognition in expression images throughout the process. And with the help of multi-scale feature fusion, we improve the detection of subtle changes, such as the corners of the mouth and the eyes of the expression image target. The loss function is used to calculate the loss rate of facial expression images, which leads to the correct rate of facial expression recognition by a multi-channel convolutional neural network based on the fusion of attention mechanisms. It is demonstrated that the highest recognition correct rate of the multi-channel convolutional neural network faces expression recognition model with attention mechanism fusion is 93.56% on the FER2013 dataset, which is higher than that of the MHBP model by 23.2%. The highest correct recognition rate on the RAF-DB dataset is 91.34%, which is higher than the SR-VGG19 model by 19.39%. This shows that the multi-channel convolutional neural network face expression recognition based on the fusion of attention mechanisms improves the correct rate of facial expression recognition, which is beneficial to the research and development of psychology.
Exploring the development of cultural and creative tourism under the perspective of ecological theory of tourism destination management
Authors: Sun Sheng , Shu Ping 
Published: April 2023

Abstract
Because of the current problems of cultural and creative tourism in tourism destination management under the cultural theory perspective, this paper aims to explore the new development direction of cultural and creative tourism. This paper uses the gray-scale correlation method model to construct a correlation degree model, analyze the factors tourists consider in choosing tourist destinations, determine the weights of each influencing factor, and extract the main influencing factors. On this basis, combined with a questionnaire survey method, we analyze the market demand for cultural and creative tourism, tourists’ satisfaction, and the existing problems of the cultural and creative tourism market and put forward suggestions for the problems. In terms of market demand, the highest percentage of tourists’ motivation for tourism is to experience different cultures 60.55%, followed by relaxation 57.35% and appreciation of scenery 55.4%, which shows that the cultural tourism market has great potential; however, there are still many problems in the current cultural tourism, the most prominent being excessive commercialization and loss of cultural authenticity, which accounts for 75%, followed by high ticket prices, lack of creativity in products, however, the service level needs to be improved to 40%, indicating that all these problems need to be paid attention to. Cultural and creative tourism is a form of tourism preferred by tourists, and many problems still need to be further explored.
Reference: An algorithm for recognizing the main melody of orchestral music based on artificial intelligence of music melody contour
Authors: Han Weiwei 
Published: April 2023

Abstract
In order to improve the recognition accuracy of symphonic music contour, this paper constructs an intelligent music main melody recognition system based on artificial intelligence technology to make melody recognition with certain search adaptation capabilities. Based on the traditional melody recognition system, the fundamental tone sequence of symphony fragments is obtained by using the fundamental tone extraction and short-time autocorrelation function in the melody contour feature extraction algorithm, which is transformed into the melody contour sequence after regularization and merging to determine the similarity of the music melody signal itself. The wavelet transform method and radial basis function algorithm are used to improve the defects of monophonic discrimination in the traditional recognition model so that the artificial intelligence technique can effectively fit with the symphony recognition model of music melody contour. The experiments show that: The average recognition accuracy of the AI-based music melody recognition system is 90.5%, which is significantly better than 69.5% of Sound Hunter software and 76.5% of Shazam software. For the five monophonic chords, the system’s recognition accuracy is as high as 98.3%, especially in the field of hanging chords with significant recognition effects. It can be seen that the artificial intelligence-based music main melody recognition system provides a scientific and authoritative recognition means for the dissemination and development of symphonic music and is conducive to improving the recognition accuracy of symphonic melodies.
The Construction of Judgment Model for Cultivating Intelligent Accounting Professionals in Universities Based on Logarithmic Periodic Power Law Model
Authors: Ding Yougang , Qin Guosheng , Yang Cheng 
Published: April 2023

Abstract
The talent training evaluation model not only helps to evaluate the talent itself but also provides feedback on the content of the talent training evaluation. Therefore, this paper establishes an efficient and intelligent talent training evaluation model for accounting professionals based on the logarithmic cycle power law model. The main content of talent training evaluation is set as general knowledge skills, professional thinking, and values. The log-periodic power-law model and the least squares method are combined to reduce the dimensionality of the nonlinear parameters of the judging content and to quantify the judging of intelligent accounting professional talent training in universities, which is convenient for the calculation of linear functions. With the help of log-periodic power-law oscillation to prove that talent training is changing in a cyclical pattern, the feasibility of its prediction is demonstrated. The study shows that the talent cultivation judgment model constructed based on the log-periodic power-law model is very accurate, especially in talent cultivation value judgment prediction. The model achieves zero error in the prediction of some data, and the maximum error between prediction and actual is only 6%. In the judgment of general knowledge and skill cultivation, the maximum error between the prediction and the actual score of the model is no more than 2 points. This shows that the talent development evaluation model based on the log-periodic power law model can make accurate predictions of talent development evaluation.
The train of thought and design of university talents training based on ADDIE model from the perspective of ideological and political education
Authors: Shi Zhengjie 
Published: April 2023

Abstract
Ideological and political education in colleges and universities is faced with opportunities and challenges due to the social environment of new media technology’s rapid development. The carrier, mode, content, and means of education have all changed and gradually become innovative; against the backdrop of mixed network information and various forms of education, it is novel to conduct ideological and political education on the basis of network normality. The author examines the issues with the current ideological and political education in colleges and universities. According to the author, the ideological and political education in colleges and universities based on the ADDIE model has the significance of developing new approaches, breaking down barriers of time and space, and fostering knowledge construction.
Study on the factors influencing the evolution mechanism of cobalt trade network from the perspective of national competition
Authors: Yang Yunxia , Guo Yaoqi 
Published: April 2023

Abstract
In order to enhance national competitiveness while ensuring the rational operation of world trade activities, the highly internationalized development of cobalt trade is promoted. This paper analyzes the current situation of world cobalt trade through the collection and collation of trade network data. That is, each node on the network represents an activity subject, and the relationship between nodes and nodes exists in terms of commodity demand and supply, reflecting the network Spatio-temporal divergence characteristics of global commodity trade. By measuring the topological network indicators such as density, point degree, intermediary centrality, and proximity to the center, the influence of a country in the trade network and whether it occupies the central position can be more clearly defined, effectively capturing the strength of the relationship between the nodes in the world trade network and facilitating the understanding of the evolution mechanism of the world trade network, and using the QAP regression model to calculate the relationship and trade volume between two countries that affect the trade connection. The results of the study show that China’s cobalt production in 2021 is 2,105 tons, down 8.5% year-on-year. With the passage of time, the overall scale of the international trade network of bauxite is growing, the number of countries involved in the trade is increasing, the trade volume is growing, and the trade relationship between countries is gradually increasing, which reflects the good development trend of global bauxite trade.
Construction of a mathematical modeling teaching quality assessment system for universities based on Eviews model
Authors: Lv Xiyuan , Yi Qiang 
Published: April 2023

Abstract
Quality assessment of university education and teaching is an essential and important part of teaching and learning activities. Over the years, a large amount of data has been accumulated in teaching and management, but the potential value of these data has not been fully utilized. How to use a large amount of data scientifically, automatically, and more effectively for rational analysis and guidance of current teachers’ teaching work has become a key issue in testing the effectiveness of teaching quality assessment, and an in-depth study is urgently needed. In this paper, we use the Eviews model, regression analysis algorithm, Apriori association rule algorithm, and other techniques. It conducts research on the assessment of teaching quality in Chinese universities. Finally, after completing the construction of the system, the main modules in the system, system management, resource management, quality assessment, and assessment query module, focused on testing. A total of 160 test cases were designed, of which 157 test results met the requirements of the system, and 3 results did not meet the requirements, with a success rate of more than 98%. The results show that the system has no major defects, runs normally, has stable performance, and meets the system requirements for teaching quality assessment in universities.
Student management model of college student associations based on ant colony Algorithm
Authors: Tian Zhu , Li Weixuan , Nie Yuanyuan 
Published: April 2023

Abstract
In order to improve the management efficiency of college students' associations, the author combined with ant colony algorithm to study the student management model of college student associations. Firstly, based on the study of the basic idea, principle, process and application scope of ant colony algorithm under the framework of swarm intelligence, several improved versions of the well-known ant colony algorithm are studied in depth, it provides a basis and reference for the research work of core theory and practical engineering application, secondly, the author will introduce the theoretical framework of the diagnosis and evaluation of college student associations. Through extensive literature review, documents, conducted a questionnaire survey in the student associations of colleges and universities in Dalian, and collected a large number of detailed first-hand materials. The model obtained by using ant colony algorithm plays an important role in management.
The artistic aesthetic and cultural value orientation of 3D printing
Authors: Yang Yi 
Published: April 2023

Abstract
For the current artwork, 3D printing design simulation technology has the disadvantage of low clarity and poor effect, which cannot effectively describe the designer's work. To this end, this paper investigates the artistic aesthetic and cultural value orientation of 3D printing. First, the 3D digitization work of the oil painting was carried out by using the multi-baseline photogrammetry method in photogrammetry technology. Then the non-measurement digital camera was checked for internal orientation elements, the control panel was photographed, and the internal orientation elements of the camera were measured using the spatial backward rendezvous solution method. Next, the digital image acquisition of the oil painting is carried out, and finally, the photos are sequentially introduced into the Lens photo multi-baseline photogrammetry system to generate the color point cloud model of the oil painting after performing the steps of homonymous point selection null-three matching and beam leveling. In order to enhance the visualization effect, the color point cloud model was used to generate a digital model of the TIN irregular triangular network to realize the 3D digitization of oil painting art. The results of the study show that the thickness of each layer obtained by UV inkjet printing of five types of inks: yellow, green, blue, black, and white is about 11.19 μm, 12.71 μm, 7.91 μm, 9.47 μm, and 13.12 μm, respectively. 3D printing technology for positive impact on art design needs to be recognized and respected, and the better development of related technologies can make the advantages and advancement of the technology itself more fully embodied.
SCP model based on the new energy vehicle collaborative detection configuration method research
Authors: Zhou Mingyang , Qiu Chengcheng 
Published: April 2023

Abstract
To address the problem of inaccurate positioning of new energy vehicles during cooperative detection, this paper investigates the positioning accuracy of different combinations of radar and infrared sensors. In order to meet the control requirements of the vehicle co-detection formation, a distributed control method considering the vehicle dynamics characteristics is adopted for this purpose. And considering the cost of sensors, the optimal parameters are calculated, and an optimal aircraft co-detection configuration design scheme based on the SCP model (structure-behavior-performance model) is proposed. At the working level of multi-craft cooperative detection guidance, a two-layer cooperative guidance structure is designed based on the basic framework. Research on vehicle configuration design, vehicle data transmission, processing technology, and cooperative detection and guidance is carried out. The basic principles of the particle swarm optimization algorithm and the algorithmic flow of the discrete particle swarm algorithm are applied to calculate the assignment of targets by the particle swarm optimization algorithm. The GDOP values are analyzed according to the simulation results, and it can be concluded that: the change rate of 2~5 sensors accuracy can reach 71.1%, 71.6%, and 71.5%, respectively, when the infrared sensor spacing is 1km~3km. 5~10 sensors accuracy change rate is only 53.3%, 52.2%, and 49.7%, respectively, which shows that the value is improved by 20%, indicating that the collaborative sensing accuracy of the aircraft has been effectively improved, which is of great help to the collaborative detection of new energy vehicles based on SCP model.
Innovative reform strategy of artistic practice of university folk dance education based on information fusion technology
Authors: Zhou Miao 
Published: April 2023

Abstract
With the development of history, some folk dances are annihilated and lost in the inheritance. In order to protect and inherit national intangible cultural heritage and promote the construction of advanced socialist culture, this paper uses information fusion technology, combines national aesthetic personality, and refers to multi-factor theory, construction theory, and distillation theory to design and reform the art practice model of folk dance education. The data of dancers’ skeletal joint points are collected by using multiple Kinect sensors, and the Kalman filter algorithm is selected to establish the human skeletal motion model and fuse the data information of each joint point. Taking the hand_right and elbow_right joints as examples, it was found that the mean value of the error between the testers’ joint trajectory and the template movement was reduced from 10mm to 4mm, and the mean value of the error between the joint angle and the template movement was reduced from 90° to 35°. Comparing the dance movement training effects and scores of the experimental group and the control group, it was found that the experimental group kicked the front and side legs an average of 70 times/minute, the middle jump height was improved by 10cm, and the average score was 3.33 points higher. This indicates that the integration of information fusion technology in the art practice of dance education can realize the practical innovation of college folk dance education and improve the comprehensive level of folk dance.
New ideas of precision teaching development based on the background of big data
Authors: Zhou Juju 
Published: April 2023

Abstract
Based on the accurate application of precision teaching can enable students to conduct efficient learning and achieve the educational goal of all-round development. In this paper, a big data precision teaching model is constructed to stage the teaching process, set the data corresponding to each stage as random variables, and apply the AIC criterion to reflect the complexity of the model. Then the evaluation model of the precision teaching algorithm is constructed by calculating the test set error based on cross-validation to find the precision teaching solution under random variables. In the last stage, it is known from the observation data of the students that the optimal decision function is derived from the variable selection, according to which the targeted development ideas of precision teaching are obtained. The experimental results showed that the practice subjects were divided into control and experimental groups, follow-up tests were conducted, and the percentage of failures in the control group was 4%, while the percentage of failures in the experimental group was 9%. The scores of the experimental class were higher when analyzed by the comprehensive attainment degree. It shows that the development and application of the platform under precision teaching can not only make up for some problems and shortcomings of the traditional classroom but also enable students to get better learning results in this precision teaching process.