bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on 3D Printing Accuracy Enhancement Techniques for Styling Design in the Intersection of Art and Engineering
Authors: Hao Wei , Huang Pu , Guan Guifa 
Published: August 2024

Abstract
3D printing technology has subverted the traditional process manufacturing process. The main algorithms used in the model data processing is a key step that affects the accuracy of the model printing. This paper focuses on the 3D printing path planning algorithm. Analyze the realistic requirements for the coexistence of artistry and craftsmanship in 3D printing products and develop a design scheme. Visualize the 3D printing path planning suggested for contour information in the partition linear scanning corner filling algorithm. Set the 45° scanning direction of the X-axis, adjust the fitted spline curve function reciprocally, and even out the path of the printer in the corner of the partitioned scanning path. Improve printing accuracy. Combined with the experimental equipment to set up the 3D printer’s operating code, the proposed Hilbert filling curve method, combined with three groups of comparison tests, verified the accuracy improvement benefits of the composite scanning algorithm in this paper. Taking the experimental data of the uncovered box group as an example, the composite scanning algorithm of this paper changes the maximum warpage from 0.23mm to 0.16mm, which is an improvement of 30.43%, and the average warpage from 0.1675mm to 0.095mm, which is an improvement of 43.28%. The reduction and optimization of warpage not only shows the improvement of accuracy of 3D printing technology but also optimizes the shape of 3D products.
Construction and realization of simulation training environment based on AI-assisted simulation of real scenarios of dispatching and commanding operations
Authors: He Jinglong , Yang Sheng , Liu Jingming , Fu Yuan 
Published: August 2024

Abstract
Dispatch command business is an essential and important part of modern society's production and life. With the development of science and technology, the use of AI-assisted construction of simulation training environments is of enormous significance to the development and improvement of the dispatching command business. The study facilitates the acquisition and preprocessing of data from the three-dimensional scene used in the scheduling command simulation training, refines the details of the simulation environment using a multi-resolution hierarchical detail model, and enables the creation of a simulation training environment for the scheduling command using three-dimensional modeling and optimization technology. In this paper, the dispatching system trained in a simulation environment is better than other dispatching systems in terms of dispatching accuracy, starting difficulty, and feedback effectiveness. The satisfaction rate for scheduling demand on different subway lines is significantly better than other scheduling algorithms. As the sampling area expands, the FID and NRMSE values of the generated real map decrease, but the PSNR and NRMSE values increase. This paper generates a dispatching command simulation training environment with a fidelity level of “excellent” and a simulation quality that exhibits a high degree of realism and credibility.
A study on the teaching effect of combining BOPPPS model with blended teaching in college English classes
Authors: Wang Jianghong 
Published: August 2024

Abstract
In recent years, teaching reform in colleges and universities has been in full swing. English, as a very important part of students’ learning in colleges and universities, is also being explored and practiced through new reforms. The study explores the possibility of combining the BOPPPS teaching model with the blended teaching model and applying it to English teaching in colleges and universities, constructs a college English teaching model based on BOPPPS+blended teaching, and designs an English teaching experiment accordingly. Explore the effect of the college English teaching model based on BOPPPS+blended teaching in improving students’ English performance and classroom participation. The experimental group’s online and offline test scores are significantly superior to those of the three control groups, and the distribution of their scores is less discrete and more central. The passing rates of online grades were ranked from highest to lowest: experimental group (95.83%) > control 3 group (88%) > control 1 group (87.5%) > control 2 group (83.67%). The pass rates of offline scores in descending order were: experimental group (97.92%) > control 3 group (90%) > control 2 group (85.71%) > control 1 group (85.42%). The pre-test English scores for the four classes are small and not significant. The three control groups had a posttest oral score of 32.645, a posttest written score of 47.958, and a posttest total score of 78.646, a significant difference from the experimental group’s oral score. The teacher-student behavioral transformation rate of the experimental group (0.65) was higher than that of the control 3 groups (0.292), and the students in the experimental group were more engaged and motivated in the classroom.
Research on project schedule optimization model construction and engineering efficiency improvement method
Authors: Wang Hua , Gao Feng 
Published: August 2024

Abstract
Project schedule management is an important guarantee for the smooth implementation of the project, which is closely related to the interests of all parties involved in the project, and how to improve the efficiency and quality of the project is a problem that still needs to be solved. In this paper, with reference to the actual situation in the project engineering, the objective function of schedule, cost, quality, and safety is proposed, and the multi-objective optimization mathematical model of the project engineering is obtained through multi-attribute utility theory modeling. Based on the objective function and constraints, the fitness function is established, the constructed model is solved using a genetic algorithm, and safeguard measures are designed to improve the efficiency of project engineering. The empirical results show that the duration and labor demand in the project schedule optimization scheme proposed by the model in this paper are much lower than those in the planning scheme of traditional project schedule optimization methods. Compared to the traditional method, the total cost of the project works decreased by 8.70%, while the quality of the work improved by 0.71%. It shows that the model can improve the quality of project efficiency and enhance the economic benefits of the entire project. The model proposed in this paper makes project schedule optimization more scientific, reasonable, and practical and has certain theoretical and practical significance. In addition, the establishment of a perfect schedule risk management mechanism can be considered in future research in this field to further improve the project schedule optimization model.
Research on optimization strategy of container orchestration technology for cloud computing environment
Authors: Zhang Junfeng 
Published: August 2024

Abstract
Containers are becoming the new standard of technology in the cloud era, and a huge number of services are shifting from the traditional virtual machine-based monolithic architecture to the container-based cloud-native architecture. This paper explores the optimization of container orchestration technology in the cloud computing environment, mainly focusing on the optimization study of Kubernetes, a cloud resource orchestration tool for Docker containers. The problems of this container cloud platform were analyzed, and it was found that the orchestration strategy adopted by Kubernetes is a static orchestration strategy, which can easily cause redundancy of container resources. This paper suggests an optimization strategy that first analyzes the PSUB container resource allocation strategy and then presents a new container orchestration optimization strategy based on the PSUB container resource allocation strategy. This paper proposes a PBFDR strategy that utilizes CPU, memory, network bandwidth, and disk IO in a more reasonable and balanced manner by comparing and analyzing the optimization strategies of different container orchestration technologies. Introducing the PBFDR strategy into the Kubernetes container orchestration framework and comparing and analyzing it with the mainstream container orchestration frameworks Rancher and Docker Swarm, the balanced point of resource utilization of KLLPL is around 23%, and the load balancing degree in different deployment sizes is around 13.7%. The evidence indicates that container orchestration technology that is based on PBFDR policy can effectively enhance the utilization of cluster resources.
A Study on Exploring the Influence of Teachers’ Interactive Behavior on Teaching Quality of English Classroom in Colleges and Universities by Combining Neural Network Prediction Models
Authors: Yin Bin , Gong Zhaogang , Wang Ying 
Published: August 2024

Abstract
English is one of the essential contents in the higher education system, and the innovative research of English teaching has become a research hotspot in the academic world. This paper introduces the neural network model to the research of English classrooms in colleges and universities and constructs a neural network prediction model based on teacher-student interaction behavior. It is used to identify, classify, and predict the behavior of teacher-student interactions. Further, explores the impact of teacher-student interaction on student behavior and its quality on college English teaching. The neural network model in this paper achieves optimal performance in the long-term prediction of teacher-student interaction behavior, and the overall short-term prediction accuracy significantly exceeds that of other prediction models. The differences in grade level, gender, and number of lecturers were all significant for the quality of English classroom teaching in colleges and universities. There was a significant correlation between teacher-student interaction behaviors (classroom cooperation, classroom games, classroom communication, and situational interpretation) and English teaching quality (English achievement, classroom participation, and learning interest). Teacher-student interaction behaviors significantly improve English classroom teaching quality and predict teaching quality by up to 45.24% of the explained variance. Classroom cooperation is the primary factor in positive classroom interaction behavior between teachers and students.
Integrative Development of Modern and Contemporary Literary Works and Traditional Culture Combined with Semantic Association Network Modeling
Authors: Zhang Gailiang 
Published: August 2024

Abstract
In recent years, the development of network novels has pushed traditional cultures such as Taoism, Buddhism, and Confucianism to a peak of attention, making traditional cultures constantly emphasized and excavated, forming an important social subject. The evaluation of textual entities with respect to the integration of modern and contemporary literary works and traditional culture is supported by a semantic association network model proposed in this paper. The model fully exploits the heterogeneity of semantic associations between modern and contemporary literary works and traditional culture and utilizes the RSS model to extract the emotional words of traditional cultural elements in the text of literary works in order to decide the global importance of traditional cultural elements in literary works. Finally, the effectiveness of the method was verified in the dataset. The results of the study show that in the dataset of modern and contemporary literary works, the traditional cultures with the highest semantic association strengths are Taoist culture (0.657), Confucian culture (0.583), and folk culture (0.651), respectively. The incorporation of traditional culture by writers in their literary works can result in a mutual achievement and development of literary works and traditional culture.
Research on Scientific Calculation Methods and Ecological Effects of Plant Configurations in Sango Landscape Designs
Authors: Wang Jingwen , Cao Yuhan , Jia Weitian , Mei Qiongyuan , Li Shangyue , Wang Jiashu 
Published: August 2024

Abstract
The basic composition of plant communities is an important part of the landscape, and good plant community design can effectively enhance the ecological benefits of the landscape. The article selects four sites in Xining City and Gerga Village of Guide County, Qinghai Province, as research objects and designs the relevant image factors of plant landscape design based on the whole life cycle of plant landscape and carbon sequestration benefits. The evaluation and analysis of plant configuration in the study area were carried out using the beauty degree evaluation method and semantic difference method, and the measurement was carried out for the ecological benefits of plant configuration. The mean value of SBE of plant configuration in the study area was around 0.05 points, and the mean values of SD scores of 12 plant landscape image factors were distributed between [0.507,1.293] points. The maximum carbon sequestration benefit of Qinghai spruce could reach 178.35kg·a−1, which was 72.82% higher than the extreme value of scrub with the lowest carbon sequestration benefit. The mean value of carbon sequestration per unit leaf area of different types of sequestering plants was 14.09g·m−2·d−1, and the mean value of oxygen release was 7.99g·m−2·d−1, respectively, and the value of ecological benefit of purifying the atmosphere produced by landscape plants in 2033 was 2.21 times higher than that in 2023 The value of ecological benefit produced by landscape plants to purify the atmosphere in 2033 was 2.21 times of that in 2023. In the landscape design of Sanxiang in Qinghai Province, it is necessary to pay attention to the spatial location design of plant configuration, and it is also necessary to fully combine trees and shrubs in order to achieve optimal ecological benefits.
Research on Automated Choreography and Real-time Adjustment of Cheerleading Performance Based on Artificial Intelligence
Authors: Zhang Lisha 
Published: August 2024

Abstract
The automated choreography of dance movements is a new field combining artificial intelligence and dance performance, which has important research value. In this paper, a Transformer-based cheerleading automatic choreography and real-time adjustment algorithm are proposed, which generates cheerleading movements consistent with the music rhythm by stacking multi-layer bidirectional cross-attention layers and introduces an algorithm for real-time adjustment according to the music phrases and the emotions of the dance phrases. The experimental results show that the new algorithm has a dance matching accuracy score of 4.33, which is 0.95 points higher than the accuracy score of manual matching, and 80.76% of the judges think that the overall effect of the cheerleading exercise generated by this algorithm is better than that of the choreography results of the comparison algorithm. This paper’s algorithm has good results, as evidenced by the results.
Research on the Innovation of Rural Tourism E-commerce Development Path in the Internet Era
Authors: Xu Rongyan , Yu Haiyan , Li Bin , Miao Dejun 
Published: August 2024

Abstract
The countryside contains rich tourism resources and business opportunities due to its beautiful natural scenery and unique humanistic environment. The purpose of this paper is to create an innovative path for rural tourism e-commerce development by designing an e-commerce mobile service platform. The F-PBFT algorithm, hybrid collaborative filtering algorithm, and panoramic VR technology are comprehensively applied to provide technical support for platform design. Combining the analysis of tourists, tourist attractions, and other platform service objects, this paper designs and completes a rural tourism e-commerce mobile service platform containing a variety of functions. Exploring the application case of Battle Flag Village, the net profit margin of e-commerce sales in Battle Flag Village after the application of rural tourism e-commerce mobile service platform can reach up to 47.84%, with a year-on-year increase of 18.88%. At the same time, the platform has attracted the attention of a large number of tourists after its application, and the search volume of Battle Flag Village on the platform reaches up to 241,968.33 during the peak hours of the tour, which significantly enhances the popularity of Battle Flag Village and effectively promotes the innovative development of rural tourism e-commerce business in Battle Flag Village.
Quantitative Analysis of the Teaching Effectiveness of the Language Acquisition Model in Japanese Language and Culture Education
Authors: Chen Yamin 
Published: August 2024

Abstract
In the process of applying traditional teaching forms, problems such as low participation in classroom activities and poor independent learning are gradually highlighted. This paper first designs the task-based cooperative language acquisition model then constructs the supervision and management system for cooperative learning, and finally establishes the evaluation mechanism for task-based cooperative learning. This paper uses the questionnaire survey method, Pearson correlation coefficient method, principal component analysis method, and multiple regression analysis methods as data analysis methods. By establishing a mathematical model, the parameters to be estimated are listed, and then these data are fitted, and finally, a statistical analysis is performed. Through the questionnaire survey method, this paper verified that the method had a positive effect on students’ Japanese learning; 46.2% of students enjoyed learning Japanese, and 92.3% participated in group discussions. The effectiveness of Japanese language teaching was assessed by extracting three main factors through principal component analysis, which were summarised as pre-study performance, classroom performance, and individual thinking performance. Under the language acquisition model, teachers can improve students’ learning effectiveness by monitoring and encouraging their performance on these three indicators.
A Quantitative Exploration of the Consistency of Visual Rhythms and Social Values in Oil Painting Art
Authors: Guo Zhengguang 
Published: August 2024

Abstract
In the process of oil painting creation, creators present their ideology to the audience through diversified ways of expression so as to produce spiritual resonance with the audience. In this paper, the consistency of social and artistic values of color in oil painting art is studied from three aspects: color attributes, visual rhythm, and color psychological effects. Combined with the HSV color model, the relationship between hue, saturation, and brightness values, which in turn describes color harmony and aesthetics, is used to assess the artistic and social value of oil painting art. Finally, by taking oil paintings of the Literary Review Period style and Classical style as samples, the social and artistic value consistency of oil paintings can be analyzed through color. The results of the study show that when the value of the color attributes of Rembrandt’s oil paintings in the Literary Review Period reaches 240, the saturation value rises sharply, and the hue value likewise falls sharply, forming a strong color focus, making the paintings more toned down and fresh, and alluding to the spirit of resistance that the creator wants to express. The social attributes of purity and solemnity are created when color characteristics are purified, and saturation is smoothed in classical-style oil paintings.
A Quantitative Impact Assessment of English Translation Errors on the Authenticity of News Dissemination
Authors: Jiang Lijuan , Huang Hongchun 
Published: August 2024

Abstract
To improve the accuracy of news communication between readers and audiences, it is necessary to avoid the errors generated in the process of news translation so as to make the English translation of news content expression more in line with the actual situation, thus ensuring the authenticity of news dissemination. In this paper, the MapReduce multiple regression model is constructed by optimizing the classical multiple linear regression model in terms of maximum likelihood estimation and gradient descent algorithm with the aim of reducing the errors in the process of English translation of news. This model is used to analyze the errors generated by the English translation process and finally proposes a method for improving translation accuracy based on the factors causing the errors. After testing, the F-value, P-value, and R² of the degree of fit of the MapReduce model are 54.39, 0.005, and 0.893, respectively. Furthermore, the model passed the significance test. The Pearson coefficients of the 4 types of translation errors in the MapReduce multiple linear regression model were −0.673, −0.622, −0.584, and −0.736, respectively, all of which were significantly negatively correlated with the truthfulness of news dissemination at the 1% level. The model analyzes that the three kinds of translation errors are basically between 2%-4%, 7%-20%, and 2%-4%, and puts forward reasonable opinions on the avoidance of the four kinds of errors, namely, “pragmatic translation, cultural translation, linguistic translation and text-specific translation”, which generate errors in the process of the English translation of news.
Research on the Visual Communication Effect of Combining Digital Art and Local Cultural Elements in Cross-cultural Communication
Authors: Niu Yunxing 
Published: August 2024

Abstract
Digital technology has revolutionized and changed the way of interactive experience, among which digital art is widely acclaimed nowadays. This paper combines digital art with local cultural elements to create cross-cultural visual communication and constructs an evaluation index system for its effects. The weight values of the indicators calculated by the gray correlation and Euclidean distance methods are combined using the combination assignment formula. Afterward, the cloud model is used to determine the degree of affiliation of each indicator, and finally, the comprehensive evaluation results of cross-cultural visual communication of cultural elements in this paper are obtained. The cloud evaluation results show that the overall cloud body distribution interval of the cross-cultural visual communication of Guangdong local culture is (6.47, 9.65), indicating that the visual communication effect of Guangdong local cultural elements is at an excellent level. Furthermore, the study revealed that the audience spent the longest total gaze time (3.96s) on the photographic style-text bottom-left type visual images. This paper explores the role of digital art in promoting the development of local culture and cross-cultural communication, and the visual communication enhancement strategy proposed from the perspective of visual presentation opens up a new path for the visual communication of local culture.