bluuebunny/crossref_metadata_2025 huggingface dataset:
The positive effects of digital media design combined with AI intelligence on art brand planning and promotion
Authors: Jin Xiaolei
Published: August 2024

With the development of science and technology, digital media and AI intelligence are currently spreading to the traditional brand planning and promotion business, and more and more brands will adopt an empowered brand promotion business in the future. This paper is based on natural language processing and other AI intelligent technology, which includes image, copy, comment, and audio data processing for advertising promotion intelligent creation systems. Combined with the characteristics of art brand planning and promotion, based on the principle of comprehensiveness and importance, it constructs a system of factors influencing digital media and AI intelligence on brand promotion from the four dimensions of brand product, brand capability, brand market, and brand support. The results show that the average purchase intention index of the brand promotion mode integrating digital media and AI intelligence is 4.9710, which is significantly higher than that of the traditional promotion mode, which is 4.1354. This study can help art enterprises identify the relationship and key elements between the influencing factors of brand promotion and guide brand enterprises to implement more targeted brand planning and promotion strategies.
The Effective Path of High-quality Employment for College Students under the Perspective of “Internet+”
Authors: Liang Qian
Published: August 2024

The rapid development of higher education has made the social supply far greater than the social demand, which has created the problem of difficult employment for college students. The implementation of the national strategy of strengthening human resources and the healthy development of a harmonious society is facilitated by solving the employment problem of college students. In this study, we first constructed a model of college students’ employment through factor analysis and explored the key factors that affect the employment quality of college students. The keywords were used to extract the hotspots of corporate recruitment and to extract measurement variables such as GPA scores. Factor analysis was used to find out the potential variables, extract the effective factors greater than 1, name and number the principal component factors, and identify the items with the highest correlation of each principal component factor, respectively. The model of this paper was validated through exploratory and validation analyses on the obtained data, which were consistent between the validation and exploratory samples. The actual value of X² was 0.7312, which was in line with the evaluation criteria. The evaluation criteria are met by the values of the other five indicators. The model’s high fit and scientific construction are reflected by it. This paper integrates factor analysis with the exploration of college students’ employment pathways, providing a set of application models that can be used as a reference.
A Study of Corporate Litigation Risks and Asset Openness under Green Eco-Development
Authors: Zhu Xiaomiao , Gang Kerou
Published: August 2024

In the context of the era of economic green transformation, enterprises face greater litigation risks, and the opening of the asset market has an important impact on the internal decision-making and control of enterprises under green ecological development. In this paper, the enterprises listed in Shanghai and Shenzhen are selected as research samples, and the explanatory variables, interpretive variables, mediating variables, and control variables are selected for the study. The double difference model is used to construct an empirical model between the variables to explore the relationship between corporate litigation risk and asset opening under green ecological development. The study shows that the correlation coefficients between corporate asset openness (x) and corporate litigation risk dummy variables and numerical variables under green ecological development policy are -0.078 and -0.088, respectively, which are significantly negatively correlated at the 1% level. The robustness test validates this empirical result, indicating a strong correlation between the two. It has also been found that corporate asset openness has a greater negative effect on the litigation risk of heavy-polluting enterprises and state-owned enterprises. The study of enterprise litigation risk and asset opening is rethought in this paper, and it provides a reference basis for the effective management of enterprises under green ecological development.
Analysis of the effect of different mining thicknesses on the mobile deformation of quarry overburden rocks
Authors: Feng Haijun , Wang Tingting , Sun Shuqin , Wei Qiang , Liang Bin
Published: August 2024

The study of the overburden rock transportation law of different mining thicknesses can provide a theoretical basis for the actual site of the mine and ensure the safety of coal mining. On the basis of analyzing the deformation characteristics of the overburden rock, the article studies the relevant factors affecting the mobile deformation of the overburden rock and gives the nonlinear mechanical, mathematical model of the overburden rock movement in the quarry, i.e., the yield failure criterion, the GHB flow law, and plasticity increment theory. Based on the nonlinear mechanics theory, the generalized Kelvin model was established, and its constitutive equations were transformed by the Laplace transformation method, and the viscoelastic finite element numerical simulation model was constructed by combining with MIDAS GTS NX software. When the mining depth is 150 meters, and the thickness of the mining is 9 meters, the maximum tensile stress of the quarry overburden is 274.28MPa, which will damage the movement and deformation of the overburden. When the mining thickness increases from 3 meters to 9 meters, the maximum value of settlement and horizontal displacement of the overburden is 0.038 meters. There is a significant positive correlation between the mining thickness and the movement and deformation of the overburden, i.e., the greater the mining thickness, the more serious the movement and deformation of the overburden. In order to ensure the safety of mining work, it is essential to establish a reasonable mining thickness in the actual operation.
A Study on Graph Theory Application and Efficacy of Cybersecurity Situational Awareness in Industrial IoT System
Authors: Cheng Jie , Fan Xiujuan , Lin Bingjie , Shang Zhijie , Xia Ang
Published: August 2024

This paper proposes a network security situational awareness model based on graph theory, with the primary goal of improving industrial IoT system security. At the beginning of this paper, graph theory is explained in depth, the mutual transformation of directed and undirected graphs is proposed, the empowerment graph abstracted from practical problems is defined, matrix storage is used to realize graph storage, and an isomorphism function is proposed to realize isomorphism judgment of graphs. Based on the principles of graph theory, we develop a network security situational awareness model and suggest a network risk assessment system. This system utilizes risk indices for vulnerability, services, hosts, and networks and assesses the risk, threat, and posture of a specific asset. The efficacy of the cyber security situational awareness model is examined. The average precision rate, recall rate, and F1 value of this paper’s model reach 99.2%, 98.9%, and 97.05%, respectively. The performance of the recognition precision rate of different cyber-attack types is 1%~8% higher than that of the CN model. The leakage rate and false alarm rate of network attacks are 5.41% and 6.16%, respectively, and the overall accuracy rate reaches 95.48%. In terms of the running effect, the average absolute error and mean squared error of this paper’s model are 0.1302 and 0.2709, which are lower than other comparison models.
A Study of the Impact of Digital Technology on the Economics of Agricultural Export Trade
Authors: Jia Saitao
Published: August 2024

An in-depth study of the impact of digital technology on the competitiveness of agricultural export trade can provide data support and direction reference for the development of China’s agricultural digital transformation. Based on the theoretical foundation of the research on the impact path of agricultural exports, this paper integrates the entropy power method to select the agricultural digital technology indicator containing the degree of rural digital infrastructure and digital technology as the explanatory variable and the agricultural export competitiveness as the explanatory variable. Then, the measurement scheme for agricultural digital technology levels and agricultural export competitiveness is designed, and regression analysis is carried out after obtaining and testing the data. It is found that the increase in the level of agricultural digital technology (DIG) has a positive promotion effect on agricultural export competitiveness, and for every 1 unit increase in the level of digital economy development, agricultural export competitiveness increases by 1.596 units. The coefficients of digital financial inclusion level, land size, digital talent ownership, digital logistics level, and digital infrastructure construction are 1.855, 2.835, 0.239, 0.942, and 1.516, respectively, which show a positive promotion effect on agricultural export competitiveness. From the sub-sample point of view, the eastern region is leading China in both the development speed of digital technology and the scale of agricultural exports. The competitiveness of agricultural exports in foreign trade can be significantly enhanced by integrating digital technology and the agricultural export industry chain at an accelerated pace. This paper makes a useful exploration of the direction of agricultural digital transformation and the path to enhance the competitiveness of ag\[*\] agricultural exports in the international market.
Application of Virtual Simulation Technology in Research Experiment Teaching and Management
Authors: Lei Chao , Wu Huizhen , Sun Nabo , Zhao Yonggang , Ye Mingli
Published: August 2024

With the arrival of the digital technology era, virtual reality technology is widely used in the fields of medical care, culture and history, entertainment, and games. In this context, researchers have explored how to organically integrate virtual reality technology into the teaching field, and virtual simulation experiments have been developed with the help of virtual simulation technology. Citespace and meta-analysis are used in the first part of this study to investigate the impact of virtual simulation on the teaching effect of scientific research experiments and to identify the factors that influence the teaching effect of scientific research experiments. On this basis, the control optimization of virtual hands is carried out for the interaction technology of virtual simulation technology, and then DTW is used to optimize the recognition of hand gestures in order to improve the immersion of virtual simulation scientific research experiments. The research experiment teaching model based on virtual simulation technology is constructed jointly with the 5-E teaching model and i-MMLOE teaching design model. The average recognition accuracy of this paper’s gesture optimization recognition method is as high as 99.61%, and the average recognition time is 48.89ms, which can achieve a smooth and comfortable gesture recognition process in the real-time state with good performance. Through the teaching effect test of this paper’s teaching mode, the average score of this paper’s teaching mode compared with the traditional teaching mode is increased by 4.394 points, and the Sig is 0.011 less than 0.05, which is a significant difference, proving that this paper’s virtual simulation scientific research experimental teaching mode has a good teaching effect. It shows that the teaching mode of this paper is helpful for teaching and managing scientific research experiments, and provides certain references and references that are important for scientific research experiment teaching.
Optimized design of robot movement based on fuzzy model minimal repair algorithm
Authors: Liang Ling
Published: August 2024

For complex working environments, traditional path planning algorithms for mobile robots are inefficient and difficult to get the optimal path. To better solve this problem, this paper introduces the fuzzy model for modeling and analysis. On the basis of elaborating the logical relationship between the T-S fuzzy model and the Kripke structure, the basic model of the robot’s moving path is designed and the map representation of the moving path is constructed. Based on the minimal repair algorithm of the fuzzy model, the virtual path fuzzy rule of the robot movement is established, and the hierarchical fuzzy control system is constructed by combining the robot kinematics movement model, and simulation experiments are carried out to verify the effectiveness of the above method. The state response x
1, x
2 of the hierarchical fuzzy control system realizes zero convergence at 5.12s and 3.91s, respectively, and the zero convergence time of the fuzzy control input is 79.23% lower than that of the Takagi-Sugeno fuzzy system. The lateral error of the hierarchical fuzzy control robot movement is approximately 0.05m, and the path length decreases from 1.38% to 4.37% with the map scale increasing. The use of a fuzzy model minimal repair algorithm can improve the efficiency of robot movement and obtain a relatively optimal path in a shorter time.
A study on the quantitative analysis method of cloud ensemble technology on orchestra market development trend during the epidemic period
Authors: Hu Xintian
Published: August 2024

During the pandemic, the online cloud ensemble technology not only maintains the connection between the art organization and the audience but also makes up for the shortage of the orchestra’s live performances, continuously provides cultural and artistic products for the market, and satisfies people’s spiritual and cultural needs and consumption demands. In this paper, cloud ensemble technology is used as an online resource service system for orchestras, relying on the personalized push system of performance resources to connect with the cloud resource library and integrate with the mobile learning portal. Referring to the idea of an extended three-layer structure, the system architecture of an online orchestra performance service is constructed. Drawing on the method of measuring supply and demand in the field of public services, a supply and demand matching model for the online orchestra performance service product consumption market has been constructed. To measure the matching of supply and demand in the consumer market for this product, a two-dimensional vector of matching degree and matching environment is utilized. The study finds that the new crown epidemic has accelerated the development of cloud ensemble technology in the online orchestra market, yet the process of orchestra market development has only reached the middle of the road, and there is still a lot of room for upward mobility and potential for improvement. The results of matching supply and demand show that the supply degree of each service in the online orchestra market has not reached 50%, indicating that the demand of the orchestra market is greater than the supply, and there is a very great potential for development.
Innovation and Development of Pipa Art in Contemporary Plucked Instrument Performance
Authors: Shu Fang
Published: August 2024

This study summarizes the direction of innovation in contemporary pipa performance techniques through theoretical analysis of pipa history, performance techniques, form, and production materials. The independent variable of string vibration during pipa performance is set, and the string vibration equation of pipa performance is deduced based on the actual vibration situation. Afterward, we collected and pre-processed the sound signals of the pipa performance and selected simulation experiments to analyze the string vibration and acoustic signals during the pipa performance. The results show that when the plucking force of 1 string is 0.8N, 1.6N, 2.4N, and 3.2N, the corresponding Y-direction displacements are 2.95mm, 6.37mm, 8.85mm, and 12.48mm, with the ratio of 1:2.16:3:4.23, and the maximum Y-direction displacements are monotonically and linearly positively correlated with the plucking force. In addition, the sound power of the two pipas gradually increased with the increase in frequency, which led to a dynamic range of more than 18.53 Hz when the frequency exceeded 8000 Hz. In this study, through the simulation of string vibration and acoustic signals of the pipa playing innovative techniques, the laws and characteristics of the pipa art can be recognized so as to strengthen the awareness of innovation and development of pipa playing and to make the art of pipa better developed and inherited.
Exploring the Innovative Path of English Education Based on Five Education in the High-Tech Background
Authors: Tang Rihong
Published: August 2024

The fundamental task of education is to establish morality and cultivate excellent talents with the all-around development of morality, intelligence, physicality, aesthetics, and labor is the educational orientation of the new era. Under the background of high technology, this paper carries out a survey on English teaching based on the five education and lifting in a college, analyzes the development of morality, intelligence, physicality, aesthetics, and labor in its English teaching, and on this basis, carries out the teaching design of five dimensions and puts forward the innovative path of English education based on the five education and lifting. After the implementation of the innovative path of English education for students in a certain university, the evaluation index system of English teaching effect was constructed by combining the five dimensions of education, and the principal component analysis method was applied to evaluate the effect of English teaching based on the five dimensions of education. At present, there is a problem of uneven development of the five education systems in English teaching, focusing on the development of intellectual education (4.39) and moral education (3.82) and paying insufficient attention to physical education and labor education. After the teaching practice, the comprehensive evaluation of the teaching effect is 7.833 points, and the scores of the five dimensions are all above 7.5 points. Students’ moral, intellectual, physical, social, aesthetic, and labor have gained all-around development, and the implementation of the innovative path of English education based on the five education has achieved a better teaching effect.
Research on the innovation of “four-work synergy” service education system for social work majors in higher vocational colleges and universities under the background of Internet+
Authors: Wang Yulong , Du Xiaolei
Published: August 2024

This paper puts forward an innovative approach to the service education system of higher vocational colleges and universities and constructs a “four-work synergy” service education system from four aspects: integration, construction, revitalization, and innovation. Using the war strategy optimization algorithm, the “four-work synergy” service education system is optimized and adjusted. An artificial neural network-based quality assessment model for the “four-industry synergy” education service was established, and the model was applied in practice to measure the quality of the education service of the research subjects. The students were satisfied with their impression of the school, the value of the school services, and the importance of their work, all of which were above three points. The six dimensions of the quality of educational services of the research object P high school statistics, including the highest mean score of 3.6496 for assurance, except for tangible and empathy, the other three dimensions of the mean value is similar, the distribution range is between 3.3-3.5. A pre-and post-test experiment was designed to examine the effect of the “four-work synergy” educational service on the improvement of students’ professional skills. During the pre-and post-tests, it was revealed that the average score for students’ professional skills increased by 6.0587 points, while the overall passing rate increased by 17.83%. Through the independent sample t-test, it is further found that t=-4.679, sig=0.000, there is a significant difference between the pre-and post-test data, which shows that the “four-worker cooperative” service education proposed in this paper has a positive effect.
The Era Value and Mode Innovation of Civic Education in Colleges and Universities under the Background of Big Data Technology
Authors: Chen Mingwu
Published: August 2024

The study of Civic Education in Colleges and Universities in the Age of Intelligence is a rational reflection on the integration of intelligent technology and education in a contemporary society characterized by informationization, digitization, and intelligence. This paper improves the traditional YOLOv5 algorithm and integrates the CA attention mechanism into the YOLOv5 algorithm to construct Civic and Political Intelligent Education based on classroom state recognition. Subsequently, a systematic test of the A-YOLOv5 system for the smart classroom was carried out, comparing the traditional YOLOv5 algorithm, the unimproved Mobilenet- YOLOv5 algorithm, and the A-YOLOv5 algorithm, which was analyzed and concluded to be superior to the other two algorithms in terms of the speed of detection and the accuracy of recognition. At the same time, the classroom effect of A-YOLOv5 was tested, and it was concluded that the A-YOLOv5 model could accurately reflect the status of classroom students. In this paper, the A-YOLOv5 algorithm improves the recognition rate of the state of listening, playing cell phone, raising hand, writing, and sleeping in the classroom of Civics and Political Science teaching compared with the YOLOv5 algorithm and evaluates the recognition accuracy of 85.42%. The model of Civics education under big data can improve the system’s recognition of students’ classroom behavior and concentration, which facilitates the teaching mode of Civics education and makes it easy for teachers to change their teaching methods in response to students’ behavior.
A Study on Source Analysis and Correction of Chinese-English Poetry Translation Errors Based on Data Mining
Authors: Gao Yuan , Xu Guangxian , Lin Qifa
Published: August 2024

When the traditional poetry translation model can not be applied to the translation requirements of poetry context, it is necessary to improve the backward translation model. To address the issues in the traditional translation model, this paper utilizes the error in the translation model of the improved clustering algorithm for correction. The poetry translation model’s overall framework is explained in detail, and each module code is analyzed. After optimizing the data in the model, the reasons for the model translation error are analyzed and corrected to achieve a perfect fit between the Chinese and English translations of the poems. The results of the study show that the errors in poetry translation are mainly caused by words and sentences, as analyzed in this paper. This paper also corrects the clustering algorithm for related errors and proposes a model for correcting translation errors in the Logistics Chaos Model. Finally, it is concluded that words and sentences are the key factors that affect the English translation of poetry. Compared with SDPS, LDifC, WFBC, LDivC, and FC, its correctness rate reaches more than 96%, 93%, 92%, 92%, and 95% after correction, respectively. Compared with the pre-correction, their accuracy increased by 0-3.06%, 3.06%-21.05%, 2.11%-10.2%, 4.35%-9.68%, and 0-8.25%, respectively. It can be seen that the translation model with an improved clustering algorithm proposed in this paper is of great significance for the improvement of the accuracy of the DWMA translation text model for an English translation of poetry.
Blockchain technology development promotes school-enterprise cooperation and industry-teaching integration talent cultivation mode innovation
Authors: Liu Feng , Liu Xiwang
Published: August 2024

In order to fit the new trend of talent cultivation and social demand, this paper proposes a new talent cultivation mode of industry-education integration and utilizes the outstanding advantages of blockchain technology in data preservation and tamper prevention to help preserve and transmit talent cultivation data between schools and enterprises more securely, and promote the realization of the new talent cultivation mode. In this paper, we propose an ECDH-based talent cultivation data sharing method between schools and enterprises, which stores users’ talent cultivation data by constructing a talent cultivation data information format and constructing talent cultivation diagnostic record transaction to lay the foundation for talent cultivation data uplinking. On this basis, the talent cultivation data information is encrypted to protect the privacy of talent cultivation data and ensure the safe sharing of personal talent cultivation data. According to experiments, the new algorithm’s average transmission rate is 6.69Mb/ms, and the last 100 rounds of power grabbing have a success rate of 0.54%. It shows that the algorithm proposed in this paper has the characteristics of being fast and safe, which helps to innovate the existing talent cultivation mode of school-enterprise cooperation. The average score of graduates’ competence has improved by 0.88 points, and more than 85% of employees agree that the new model has a positive effect.
Dynamic updating mechanism of teaching content driven by both artificial intelligence and big data within an efficient classroom
Authors: Liu Wenping
Published: August 2024

The new curriculum reform requires teachers to focus not only on the transmission of knowledge in efficient classroom teaching but also on the promotion of students’ comprehensive development, ensuring the diversification of teaching and the dynamic updating of teaching content. Based on the integration of “artificial intelligence + big data” technology in teaching and learning, this paper proposes a dynamic adjustment model of teaching content based on the conceptual graph. The Bayesian network structure learning method is employed as a test method to determine the independence of variables and create directed graphs. Meanwhile, the K2 and LPG algorithms are being improved to establish the C-IK2 model for automatic concept map generation. Sequentially, the data is processed in stages of preprocessing, generating complete graphs, and constructing minimum spanning trees to construct a model for dynamic updating and adjustment of teaching content. Through experimental analysis, the model is applied to the actual teaching work. The experimental results show that after the dynamic updating and adjustment of teaching content, Student 1 reached the highest score rate of 68.16% in the first semester of the first year. The degree of improvement of the score rate score in the two semesters of the second year was 13.21% and 17.1%, respectively. The model of the dynamic updating and adjustment of teaching content is more helpful to the students. The academic performance of the students in class A of the research object was significantly improved. The overall average score reached 82.93 points, compared with the pre-test improved by 5.85 points. At the same time, the number of the 60-70 score band was reduced to 3. The proposed model in this paper effectively improved the academic level of the students.
Synergistic Parenting Strategies and Practical Effects of Group Decision Making Theory in Civic Management Education in Colleges and Universities
Authors: Qiu Zhenzhong
Published: August 2024

This paper analyzes the evolution process of dynamic group decision-making viewpoints and proposes the operation process of group wisdom decision-making mode based on the social learning rules in group decision-making and the evolution process of decision-making individual preferences. With its advantages, it proposes a collaborative parenting strategy for civic management based on group decision-making theory. Divide the internal management subjects of colleges and universities and propose the collaborative cultivation of ideology and politics by multiple subjects. Clarify the relationship between student cadres, class teachers, and course instructors, and develop a college-centered model of collaborative parenting in the field of ideology and politics. We analyze the influence of group decision-making theories on the collaborative knowledge construction of college students’ civic administration and compare the practical effects of the traditional civic administration collaborative nurturing model and the collaborative nurturing model based on group decision-making theories in the context of teaching communication. It can be concluded from both interaction content and social relationships that group decision-like theory can strengthen students’ willingness to interact and promote intragroup social relationships. The number of intergroup interaction social network connections for the Devil’s Advocate strategy is 89, the average degree is 4.56, and the interchange is 0.58. The practice of teaching civics shows that the collaborative parenting strategy based on the group decision-making theory has obvious teaching advantages in terms of Civic Awareness and Learning Awareness.
Facilitating the Teaching of Preschool Education Majors Based on Mobile Internet Platforms
Authors: Wu Xiaomeng
Published: August 2024

With the increasing promotion of the concept of “Internet +”, the preschool education professional field has continuously proposed a non-commercial online education platform to play its role in promoting the teaching of preschool education. The article adopts the curriculum resource recommendation algorithm based on collaborative filtering, applies the recommendation algorithm to the mobile Internet platform, designs a personalized online education platform based on the collaborative filtering algorithm, and applies it to a specific empirical study. After experimenting using the method proposed in this paper, the average score of major grades in preschool education for the experimental group increased by 3.68 points. In the systematic analysis of learning satisfaction, 75% of the students were satisfied with the sequence of learning activities and learning partner recommendations, and 67.5% were satisfied with this learning process.
Research on the Relevance of Accounting Information Transparency and Enterprise Value in the Internet Financial Environment
Authors: Shen Wangqi
Published: August 2024

China’s securities market has made remarkable achievements after more than 20 years of development. The issue of accounting information transparency has become more prominent. Based on the impact of Internet financial technology on accounting practice, this paper explores the correlation between managerial characteristics and accounting information transparency on enterprise value through research hypotheses. The metric model of enterprise investment value and accounting information transparency is constructed, and the hypotheses proposed in this paper are verified by means of multiple regression analysis. The results of multiple regression analysis indicated that the regression coefficient of the effect of manager’s age on enterprise value was 0.1687, and the P value was <0.01, which indicated that older managers had a positive effect on enterprise value, and hypothesis 1 was confirmed. In the sensitivity analysis, the surplus management variable and the cross-term between surplus management and transparency of accounting information have a strong correlation. The parameter estimates are 0.089 and 5.365, respectively. Both of them show a significant positive correlation at a 1% level. The results pass the sensitivity test, which indicates that the regression results are robust and that there is a positive correlation between the transparency of accounting information and the value of the enterprise.
Exploration and Practice of Civic Teaching in Cybersecurity Technology Specialized Courses under the Background of Big Data
Authors: Yu Kun
Published: August 2024

In recent years, curriculum Civics has begun to be widely used in higher education programs, providing new ideas and inspiration for the development and reform of higher education. The study integrates Civic Politics elements into the professional course of network security technology to teach Civic Politics in the curriculum. The improved TOPSIS method is used to construct a teaching evaluation model for the Civic Politics of Network Security Technology course, build an evaluation index system for the Civic Politics teaching effect of the Network Security Technology course, and determine the weights of the indexes at all levels. Factor analysis, difference analysis, and correlation analysis are carried out to analyze the situation of the network security technology course Civics. And explore the teaching effects of the network security technology course Civics. The highest score among the 15 factors of cyber course civics is cyber cultivation (8.89), while the lowest score is tenacity (7.77). There are significant differences in the factors of cultural confidence, dialectical thinking, aesthetic awareness, security awareness, and fairness and justice among students of different grades, and the factors of aesthetic awareness and fairness and justice among students of different disciplines become significantly different. There is a significant positive correlation between all the factors, among which the dialectical thinking factor has the strongest correlation with the total score of cybersecurity technology course civics. The total score of the teaching effect of the Civics of Cybersecurity Technology Course is 0.85, which is good.
Combining Cloud Computing Technology to Enhance Information Technology Application in High Quality Employment for College Students
Authors: Zhou Jing
Published: August 2024

In order to improve the information technology application ability of college graduates, this paper breaks through the traditional classroom’s limitation of time and space, and puts forward a teaching form that better meets the educational needs. The teaching method for information technology courses for college graduates based on cloud computing technology is designed. Firstly, a multimedia teaching platform system that meets the needs of colleges and universities has been designed. The current campus network of many colleges and universities is not conducive to full utilization of resources. Therefore, a dynamic scheduling model based on prediction is proposed for teaching on-demand resources. The method utilizes the virtualization technology in cloud computing to divide the computing power in the multimedia teaching cluster into multiple virtual central processors and constructs a resource request prediction model to predict the teaching demand in the future period. The dynamic adjustment capability of virtual hardware resources is fully utilized, and the load balance is achieved by reasonably allocating resources according to the actual teaching demand. The method of this paper is used in practice; 30 students taught using the method of this paper found a job within 30 days, and the number of people with a monthly salary of more than 10k reached 27, which is better than the effect of other methods. The test results show that the information technology teaching course combined with cloud computing can better improve the information technology application ability of college graduates and has the practical application value of higher quality employment.
Analytical study on optimized configuration strategy of electrochemical energy storage system under multiple scenarios
Authors: Li Tou , Zhang Wei , Zhang Xuan
Published: August 2024

This paper models the electrochemical energy storage system and proposes a control method for three aspects, such as battery life, to generate a multiobjective function for optimizing the capacity allocation of electrochemical energy storage under multiple scenarios, with conditional constraints on the system, storage, and progression aspects. The improved whale optimization algorithm is used to solve the multi-objective function to find the most reasonable electrochemical energy storage system capacity optimization allocation scheme. Using the model constructed in this paper under multi-scenario conditions, it is found after solving that the optimal allocation scheme purchases power from the grid at around 25MW during the highest peak hours in summer and 5MW in winter, which ensures the economic benefits. Meanwhile, the maximum power fluctuation of the electrochemical energy storage system at point A of the optimization strategy provided by the model is only 2.16%, which is much lower than the preset 4.32%, so the optimal allocation strategy reaches the optimum. Comparing the performance of configured energy storage in different scenarios, the peak-valley power difference of the model proposed in this paper decreases from 11.6 MW to 8.9 MW, which is a better performance than that of the control group, which is 10.8 MW-9.1 MW, and the effect of peak shaving and valley filling is obvious.
Analysis of Traditional Culture Communication Methods and Communication Effects for Adaptive Web Platforms
Authors: Ju Jingyi
Published: August 2024

With the rapid development of networks and information technology, the form of mass communication is changing day by day, and the efficient and convenient communication of information also brings challenges to the dissemination of traditional culture. This paper proposes a deep recommendation algorithm based on user-adaptive networks after examining the functional advantages of adaptive network platforms and optimizing the drawbacks of current network platform recommendations. It contains two parts: the main network and the strategy network, which combine the null convolutional neural network and the residual network, which is capable of better modeling the user’s historical behavior sequence. On this basis, the algorithm is combined with the development of the traditional culture dissemination-oriented network platform system, constructed by the user layer, testing layer, learning layer, support layer, and management layer composed of a traditional culture adaptive network platform. Then, the performance of the system is tested. The adaptive network platform system of this paper has the lowest number of nodes with latency distribution of [1, 3.1] ms and [4, 10] ms. The lowest load reaches 0.05, and the proportion of users with a continuity index less than 0.9 is only about 36%. Meanwhile, the average playback volume of the platform video is 6,275,800, and the average number of likes reaches 207,906, which is much higher than the average value of 8800 of the number of points stepped on, indicating that the system in this paper is optimal in all aspects of the performance and that the dissemination of traditional culture is excellent. This study presents an effective communication method for traditional culture that is widely applicable and makes a significant contribution to the promotion of traditional culture.
Cost-benefit analysis and ROI prediction for smart renovation of sports stadiums
Authors: Li Jian , Zuo Jia
Published: August 2024

The construction of smart stadiums is an important direction for the development of the sports industry. This paper builds a digital empowerment analysis framework for stadiums from the main body of stadium intelligent construction and designs and builds a smart stadium management information system platform. Examine the advantages of VR technology in sports training, process motion capture data, and propose motion recognition technology based on skeletal data. Use the satisfaction index to measure the effectiveness of intelligent transformation applications in sports stadiums that utilize VR technology. We analyze the whole life cycle cost of sports building projects, calculate the revenue and operation cost of intelligent construction of stadiums from the perspective of the composition of sports building projects, and predict the return on investment of intelligent construction of stadiums by combining the investment ratio of different partners. In the dimension of “intelligent service”, the satisfaction score of the training service (VR technology sports training service) is 3.689 with a standard deviation of 0.825, and the return on investment is 17.59% during the 14-year construction and operation period of the project when the share ratio of the partner is 60%.
An Exploration of the Role of Factor Analysis in Cultural Cognition on English Proficiency
Authors: Chen Yuanyuan
Published: August 2024

The role of cultural cognition on English proficiency has received extensive attention in the academic community, and this article analyzes the role of cultural cognitive ability on English proficiency by taking advantage of the advantages of factor analysis in revealing the underlying structure and data interpretation and understanding. The article firstly argues the importance of cultural cognitive ability on English proficiency and then elaborates on the mathematical model of factor analysis from the aspects of raw data and correlation matrix, factor analysis, and factor loading. Factor analysis is used to calculate the correlation matrix and extract four common factors according to the rule of eigenvalue greater than 1. The distribution of factors was adjusted by factor rotation, and the common factors that could explain 71.686% of the test data were named “English Expression Ability”, “English Comprehension Ability”, “Cultural Receptivity Ability,” and “Cultural Communication Ability”, and then classified as “Cultural Cognitive Ability” and “English Ability”. It is found that the loading coefficients of English expression, comprehension, and cultural acceptance and communication ability on English proficiency and cultural cognitive ability are 0.642, 0.591, 0.547, 0.392, 0.438, 0.511, 0.421, and 0.604, respectively, which indicates that cultural cognitive ability has a facilitating effect on the students’ English expression and comprehension, and therefore should be cultivated at the while focusing on the cultivation of cultural cognitive ability.
Research on the application of Internet of Things (IoT) for water and fertilizer integration and smart irrigation system in cotton production
Authors: Guo Zhenhua , Chen Huanmei
Published: August 2024

The application of water-fertilizer integration and intelligent irrigation systems in cotton production will greatly promote the increase of cotton yield and quality, which has significant application value for cotton production. This paper introduces Internet of Things (IoT) technology in the water-fertilizer integration and intelligent irrigation system and shifts cotton production to an information-centered production mode. In this paper, water-fertilizer integration adopts the first part of the main pipe fertilizer premixing system, which combines venturi and centrifugal pumps to form a fertilizer mixing equipment and uses sensors to collect the environmental information of cotton growth and development and the growth condition of cotton and also designs the fuzzy PID automation control module to realize water-fertilizer integration and smart irrigation. In the application test on June 22, 2022, the air temperature decreased, humidity increased, and light intensity gradually decreased after 15:30 due to the weather turning cloudy. After the rain stopped around 20:00, the sensors detected that the air temperature reached the lowest value of the test practice section, 28°C, which is sensitive to the environment. Compared with the artificial irrigation method, it can increase cotton yield by 66.98% while saving water by 11.59%, and the application found that the EC value of the fertilizer solution in the fertilizer mixing bucket reached a steady state at about 150s, and the fertilizer decision-making model also has a greater superiority compared with manual.
CHAID Model Construction and Analysis of Living Conservation Efficacy for the Integration of Historical Materials in Rural Bookstores
Authors: He Rong
Published: August 2024

This paper integrates the historical information related to the four rural study halls at the historical material level to understand and deeply explore their value characteristics. Based on this, we sort out the influencing factors of the conservation effect of the rural study halls, sort out the influencing factors of the conservation effect of the rural study halls through principal component analysis and the CHAID model and explain the various factors affecting the conservation effect and their interrelationships through statistical analysis. According to the empirical results, the revitalization strategy is introduced to provide suggestions for the development of rural bookstores. The historical value of the village academy is the most important value element in the comprehensive value comparison, with a high rating of over 1.2 points, followed by the cultural value. The factors affecting the protection effect are sorted out. The final model reflects the problem in which the survival environment dimension is negatively affected overall (-0.004). The cultural places related to the rural academy should be repaired and built in addition, on the basis of which various activities are guaranteed to be carried out on a regular basis. In terms of government support (0.351) and inheritor protection (0.173), the current initiatives have certain positive effects.
Research and Design of Grid Safety Inspection Path Planning and Work Order Assignment Based on Dijkstra and Optimal Scheduling
Authors: Liu Lei , Zhou Xiangfeng , Li Chengjun , Gao Xiaolan , Luo Shuxian , Xue Guoquan
Published: August 2024

The power grid is the core of power energy transmission and distribution in modern society and is affected by many factors, such as the number and variety of its equipment and the intricate structure of the grid, which leads to a more severe situation that the safe operation of the power grid will face. This paper gathers data on the operational status of grid equipment, historical maintenance records, customer complaints, and more. It then employs Monte Carlo simulation sampling to select and analyze the risk state of the grid system, as well as to determine the overall risk probability of the calculation system and the level of consequence indicators. An improved Dijkstra algorithm is applied to plan the optimal path for UAV grid inspection. Based on the inspection and risk assessment results, work orders are automatically generated and assigned to the corresponding maintenance personnel. Simulation results show that the proposed method obtains two optimal inspection schemes, TSP and EETSP. The TSP scheme obtains the shortest path when the inspection data volume is 50 Mbits, and the EETSP scheme obtains the shortest moving time when the inspection data volume is 200 Mbits. The UAV-cooperative transmission line inspection path planning method proposed in this paper can improve grid inspection efficiency and effectively solve the optimal path planning problem in large inspection areas.