bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of IoT technology in cyber security prevention system
Authors: Dong Jiahan , Wang Chao , Guo Guangxin , Ren Tianyu , Sun Hao 
Published: August 2024

Abstract
In the process of gradually expanding the scale of computer networks and the design of network systems becoming more and more complex, people pay more and more attention to the construction of network security protection systems. Starting from the blockchain encryption technology, the article establishes the authentication and access management key based on the elliptic curve encryption algorithm and combines the maximum entropy model with the hidden Markov model to construct the MEMM for intrusion detection of network security. Based on the effective signal-to-noise ratio model of the network channel, an adaptive channel selection strategy based on the UCB algorithm is proposed. The IoT security prevention system is built based on IoT technology, and each functional module of the system is designed. The system’s authentication security, network intrusion detection, adaptive channel selection, and concurrency performance were tested after the design was completed. The encryption operation time of the ECC algorithm was improved by 41.53% compared to the RSA algorithm, the average time of the MEMM network intrusion detection was 41.54ms, and the false alarm rate of the intrusion detection was kept below 16.5%. The average packet collection rate of the nodes in the adaptive channel selection algorithm is 90.98%. The maximum system throughput is up to 62.19MB, and the extreme difference in data volume between different nodes is only 38 entries. Constructing a network security prevention system based on IoT technology and combining multiple encryption techniques can ensure the secure transmission of network data.
Biomimetic Interactive Symbiotic Strategies for Clothing Textiles in the Perspective of Non-Genetic Inheritance
Authors: Chen Chang 
Published: August 2024

Abstract
This paper takes the application techniques of non-heritage paper-cutting elements on modern clothing fabrics as an example, analyzing and outlining the symbiotic trend of non-heritage elements and clothing design, i.e., personalization, ethnicity, and the unity of tradition and popularity. It is proposed to utilize the unique performance of bionic scale knitting structure fabrics in bionic technology, combined with the combination of non-heritage techniques, to innovate the clothing design process of non-heritage and to form a new way of bionic interaction and symbiosis between non-heritage and clothing textile. Simulate the performance of bionic scale knitting structure fabrics and explore the advantages of bionic technology in clothing textiles from the perspective of flexibility. Explore the market operation effect of clothing design works of non-heritage technology from the aspects of consumer demand, market evaluation, and market operation, respectively. From the load-displacement curve of the flexibility test, it can be obtained that when the loading value is 55N, the displacements of the bionic knitted structural fabric and the separate scale layer are all greater than 11mm, and the bionic scale knitted structural fabric possesses good bending deformability. The evaluation results of the enterprise experts show that the clothing works integrating the non-heritage elements have obvious market demand.
Implementation Strategies and Quality Evaluation Systems for Community College Guided Pathways Programs
Authors: Liu Biaosheng , Dong Daohong 
Published: August 2024

Abstract
The “Guided Pathways” program in community colleges can promote the efficient completion of students’ studies without restricting their choices and promote the popularization of education. This paper proposes a specific strategy for the implementation of the Guided Pathway program, and proposes a quality evaluation model for the Guided Pathway program based on the Sparrow Search Algorithm and Deep Neural Networks to construct an evaluation system. In the construction of the quality evaluation model, transient optimization perturbations are added to the SSA to improve the diversity, searchability, and robustness of the population position transformation. DNN cannot retain all the valuable features, so they are optimized to form DRNN, which is the quality evaluation model based on ISSA-DRNN. In terms of overall performance, the ISSA-DRNN algorithm in this paper has a prediction accuracy of more than 98% in different datasets, and the training and testing time required for evaluation is also significantly shorter than that of SVM and DRNN algorithms, resulting in superior overall performance. The quality evaluation of the Guided Pathways program was conducted at a community college in District S, City Q, China. The primary and secondary indicators have mean values between [3.4,3.7] and [3.4,3.6] that fall short of the respondents’ expectation of more than 4 points and cannot meet the demand. The implementation of Guided Pathways in S community college has deficiencies, and it should be improved and optimized by combining them with the implementation strategies proposed in this paper.
Exploration of the Integration and Innovation of Digital Art Elements and Traditional Cultural and Creative Designs
Authors: Shao Yonghong 
Published: August 2024

Abstract
Combined with the modern development form of traditional cultural and creative design, this paper proposes to use digital art elements to assist traditional cultural and creative design. The symbols of cultural and creative design are extracted using digital-assisted design technology, and the grayscale image extraction method is chosen to process the images of cultural and creative design. Then, combined with the YOLO v3 algorithm, CMT algorithm, and spatial mapping to realize three-dimensional tracking of real objects and real-time tracking interactions in mixed reality, adding digitally assisted experience of cultural symbols. With that, the theoretical model of digital art elements and traditional cultural and creative design is designed, and the procedural method of the entire cultural and creative design is analyzed. Online shopping consumer evaluations are selected, high-frequency words are classified, and consumers’ emotional tendencies are analyzed as well. The comprehensive scores of digital art and cultural and creative products are calculated using sense-quality evaluations. Consumers’ positive and negative emotions accounted for 75.72% and 17.49%, respectively, with the general negative emotion field accounting for the highest proportion of 10.54% and the medium and high negative emotion fields accounting for a lower proportion. It can be seen that the response of digital art elements to the cultural and creative design market is better, and its innovative design has a certain consumer market.
A study on the effect of yoga postures on body flexibility based on Fourier transform analysis
Authors: Li Hong , Li Dan , Huang Shiying 
Published: August 2024

Abstract
This paper proposes a method for data acquisition of yoga movements and analyzes it using the Fourier transform. It aims to help residents choose a more scientific and effective exercise method to relieve physical fatigue, reduce body stiffness, and improve body flexibility. Initially, we transform the yoga movements into RGB and optical flow, feeding them into the STF-ResNet network to extract the temporal and spatial features of the movement data. Next, we combine the spatial and temporal flow features with residuals to compensate for the loss of high-level feature information. Finally, we add the convolutional block attention module to further filter the yoga movement features from both channel and spatial dimensions. Next, we introduce the Fourier transform to parse the gathered yoga movement features. We conducted experiments both with and without yoga movements interfering with body soft rhythms to investigate their effects. The experimental group improved the test scores of the forward and backward splitting test and the backward bending body bridge building test, with the mean value of standing forward bending being 5.11 higher after the experiment than before. It shows that yoga intervenes in the flexibility of the human body through auxiliary training, and yoga postures can have a significant beneficial effect on body flexibility.
Strategies for Integrating Civic Education and Traditional Chinese Culture in Colleges and Universities under the ARCS Model for Nurturing People
Authors: Cheng Si , Zhou Qi , Yang Dan , Zheng Sisi 
Published: August 2024

Abstract
The current ideological education in colleges and universities is undergoing a series of changes, and the return of Chinese traditional culture to the system of ideological education in colleges and universities has become the development trend of the current ideological education. The study constructs the ARCS model of college civic education, integrating traditional culture according to the ARCS model, and improves the traditional hierarchical analysis method by introducing triangular fuzzy numbers so as to construct the evaluation index system of college civic education. The evaluation results of the ARCS model of Civic Education in Colleges and Universities, which integrates traditional culture, and its application effects on students’ civic performance and civic literacy are explored. In the three initial indexes of Teaching Content, Teaching Methods, and Teaching Effect, ARCS Civic Teaching in Colleges and Universities has a score of 0.826, 0.809, and 0.854, respectively. The scores of most of the second-level indexes are more than 0.8, and Civic Teaching in Colleges and Universities under ARCS has achieved a better evaluation result. The Civics scores of the experimental group and the control group do not have significant differences at the beginning of the experiment, and the significant p-value is 0.004 after the experiment, which is a significant difference. At the beginning of the experiment, the p-value of each Civic and Political Literacy of the two groups was greater than 0.05, and after the experiment, the p-value of each Civic and Political Literacy of the two groups was less than 0.05. The ARCS model of Civic and Political Education in Colleges and Universities, which integrates traditional culture, significantly improves the civic and political achievements and civic and political literacy of students.
A Cybersecurity Threat Recognition Framework Combining GAN Networks and Semi-Supervised Learning
Authors: Luo Zhuojun 
Published: August 2024

AbstractThis paper delineates the types of threat identification in network security, designs the threat identification model architecture, analyzes the malicious code, and proposes a counter-defense strategy. The talk compares the GAN network model and semi-supervised learning technology, combines them in network security, and proposes a semi-supervised detection model utilizing GAN. Analyze the characteristics of URL network activity and design URL character encoding. Set experimental parameters and selected datasets to analyze the similarity between synthetic URLs based on GAN generators and real URLs and test the effectiveness of a GAN-based semi-supervised detection model for malicious URL recognition using different classifiers. Calculate the detection model’s classification accuracy on a mixed dataset and test its training fit. There is only a 6% difference in how well different classifiers can spot malicious URLs. This shows that the adversarial samples made by the GAN-based generator are similar to real URLs. The GAN-based semi-supervised detection model is capable of recognizing more web threats.
Research on the Teaching Mode and Learning Effectiveness of VR Technology Integration into College English Classroom
Authors: Qi Huimin 
Published: August 2024

Abstract
As an important content of the modern education system, college English teaching plays an important role in cultivating students to conform to the trend of social development and improving college students’ English application ability. In addition, the transformation of English classroom teaching modes is crucial to the impact on students’ learning effectiveness. Based on this, this paper establishes a semantic comprehension model of oral communication based on the teaching mode of English classroom through the BERT model and then builds a simplified model of 3D images using LOD technology to realize a virtual classroom, which can provide targeted oral exercises and competence enhancement for students with different English levels. Students are expected to have an immersive experience of the communication process in the classroom with the help of VR technology. The results of the study show that the application of VR technology in college English teaching makes 82% of the total number of students in the experimental class score above the good level in the pre-test, while only 64% in the control class. The experimental group accounted for 6% of the total among students with poor oral grades. At the same time, the control group accounted for 22% of the total collective. Obviously, the use of VR technology has an extremely significant effect on students with medium to low oral proficiency. To summarize, VR technology-assisted teaching can improve students’ academic performance and stimulate learners’ interest in learning, which can provide insights into college English classroom teaching.
Challenges and Opportunities of Virtual Reality Technology for Innovation and Entrepreneurship Education
Authors: Liu Zhongji , Wang Yike 
Published: August 2024

Abstract
There are still some challenges and opportunities for the cultivation of innovative and entrepreneurial talents in virtual reality technology-related professions, and how to solve these problems is the key to cultivating and incubating innovative and entrepreneurial talents in virtual reality technology. The article first takes Unity3D as the basis for the construction of a virtual teaching classroom scene and utilizes particle system and A* algorithm for technical architecture to build the software platform of a virtual reality simulation teaching platform. Finally, the class of 22 business administration students in a college is used as an empirical research object to test the teaching effect. The results of the study show that virtual reality technology can better enhance students’ interest in learning, and more than 70% of the students are more willing to use virtual reality technology in the innovation and entrepreneurship education classroom. More than 75% of the students think that the use of virtual reality technology helps the conversion of two-dimensional and three-dimensional thinking, and it can improve innovation and entrepreneurship ability. Well, in the VR classroom, the language of the students is improved by 16%, of the teacher’s language is lower by 29%. The use of virtual reality technology is conducive to improving students’ innovation and entrepreneurship abilities, and it is more capable of driving innovation and entrepreneurship education.
Current Transformer Condition Online Monitoring Platform Based on Big Data
Authors: Wang Dan 
Published: August 2024

Abstract
As an important power equipment indispensable to the normal operation of the power grid, the good or bad working condition of the current transformer directly affects the operational efficiency of the whole power grid. In this paper, an online monitoring platform based on big data technology has been developed to monitor the current status of transformers. First of all, for the temperature of the transformer, through the decoupling of the heat generation mode of the transformer, the state monitoring method based on fiber optic temperature measurement technology and optical multiplexing technology is proposed, and the overall scheme of transformer state monitoring is designed. The data signal of the transformer’s status is collected and processed, and a fault state diagnosis model is constructed based on the decision tree algorithm. Finally, according to the data requirements of the current transformer, an online monitoring platform for transformer status has been constructed using big data technology. Through the simulation test, the variation of ratio error of this paper’s monitoring method is less than 0.60%, and the variation of phase error is less than 0.75 percent, which is in line with international requirements. The average loading time of the monitoring platform is between 123.591s~143.911s, the average loading speed is less than 13s, the average throughput is between 241ops/sec ~257ops/sec, and the average latency of the read and upload operations is 24.225ms. The current transformer condition monitoring platform in this paper has good stability, the overall performance is excellent, and it provides a good solution for the research of the current transformer condition monitoring platform provides practical support for the research of current transformer condition monitoring platform.
Research of improving the satisfaction of sports club members and the model of optimizing operation efficiency
Authors: Yang Yan , Huang Xianzhong 
Published: August 2024

Abstract
Understanding members’ psychological needs, improving members’ satisfaction, and enhancing clubs’ operational efficiency are key factors in the development of sports clubs. Taking the customer satisfaction model and the balanced scorecard of operational performance as the starting point, this paper analyzes the factors related to member satisfaction of sports clubs by using multiple linear regression models with provincial sports clubs in 31 provinces (municipalities/autonomous regions) of China as the research objects. After selecting 16 provincial sports clubs, the DEA model was built by utilizing staff salary as the input indicator and club winning rate and operating income as the output indicators. The overall satisfaction of sports club members is 3.94. The regression results show that each independent variable has achieved 75.3% of the explanatory strength of the overall satisfaction of members.4 of the 16 sports clubs reach the optimal operational efficiency in 2023. The comprehensive technical efficiency and scale efficiency of sports clubs were only 0.697 and 0.659, respectively, in 2019. By analyzing the changes in the membership satisfaction and operational efficiency of sports clubs, the DEA model is constructed. The analysis of factors that influence satisfaction and operational efficiency trends can help sports clubs choose inputs rationally and provide new perspectives for improving member satisfaction and operational efficiency.
The value and practical path of promoting the innovative thought of higher education under the background of deep learning
Authors: Zhang Yining 
Published: August 2024

Abstract
The value and practical path of how to promote innovative ideas in higher education in the context of deep learning is a hot issue of concern to many scholars. The article explores the execution steps of this recommendation system through the basic theoretical study of the collaborative filtering recommendation algorithm and further proposes a MapReduce-based collaborative filtering algorithm that utilizes Hadoop to run the ItemCF algorithm's steps in order to complete the Map/Reduce job. The article concludes by systematically testing the algorithm and applying it to evaluate specific innovative ideas in higher education. After the system comparison test, it is found that the recommendation algorithm proposed in this article is better than the KNN collaborative filtering algorithm in the same proportion of the test set, and the memory occupancy, CPU occupancy, and the average response time of the interface are all within the expected value. In the paired-sample t-test analysis of the dimensions of the pre-and post-test data of the values of the students in the experimental class, the P-values of the six dimensions of patriotic sentiment, scientific spirit, humanistic spirit, aesthetic consciousness, ideology and morality, and cooperative spirit are all less than 0.05, which is a significant difference.
Gradual change of vibration characteristics of steel truss structure
Authors: Tang Sicong , Wang Hailong 
Published: August 2024

Abstract
In order to investigate the gradual change law of vibration characteristics of steel truss structures under the influence of fatigue loading and uniform corrosion, this study combines the nonlinear cumulative fatigue damage rule, corrosion depth theory, and structural residual performance theory to establish a multi-level gradually changing performance transfer model. The relationship between structural performance and damage behavior is revealed, and a numerical analysis method for the gradual change phenomenon of vibration characteristics of steel truss structures is provided. A two-dimensional finite element analysis framework for gradual changes in vibration characteristics in steel truss structures has been developed and analyzed for a steel truss girder bridge. The results show that the correlation terms of vibration characteristics gradually decay with the increase of operation time, and the degree of decay is related to the severity of fatigue damage or corrosion damage, with the overall trend exhibiting a three-stage change.
Artificial Intelligence Technology Facilitates the Design of Interactive Platform for English Education in Colleges and Universities
Authors: Li Jing , Liu Yankui , Du Juan 
Published: August 2024

Abstract
In today’s era of rapid scientific and technological advancements, the deep integration of artificial intelligence technology and education is paving the way for intelligent development in English education. This paper designs the architecture of the interactive platform for English education in colleges and universities based on artificial intelligence technology, provides relevant tools for interaction assistance, and establishes an analysis model of students’ online learning interactions. To promote the diversity of English test papers, an improved genetic algorithm is utilised for the intelligent grouping of English test papers. A collaborative filtering algorithm is used to intelligently predict students’ English grades by considering the time sequence of English courses. Performance tests were designed to verify the effectiveness of the application of the interactive platform for English education. The intelligent paper grouping took an average of 1.247 seconds, and the discrepancy between the predicted and actual English course grades did not surpass one grade. The interactive platform for English education had a minimum response time of 1.69 ms, and the application server didn’t use more than 10% of its total CPU. The interactive platform, which combines artificial intelligence technology with English education, provides a new path for innovating teaching methods in English education.