bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visual Operation and Maintenance Monitoring of Power System Data Network Based on Neural Network Model
Authors: Zeng Qinghua , Chen Jianbin , Liu Jingyao , Cheng Haitao , Zou Biao 
Published: August 2023

Abstract
This paper introduces a communication network health monitoring technology and integrated operation management platform based on a power switching network. Firstly, network characteristics are described from technology, structure and service function. Separate regular communication networks. This paper studies a new condition-monitoring technology based on a power-switching network. This paper studies the topology of the AC power network. The condition of the network is carried out through the neural network. According to the perception results, an integrated operation management system is constructed to provide users with relevant data. This section describes the network fault status, fault diagnosis, and features of fiber hopping services. This paper offers some suggestions for operating and maintaining a power-switched network.
Integrated Operation and Maintenance of Power System Communication Based on the Markov Model
Authors: Ji Changjiu , Chen Jixu , Qiu Li , Wang Ning , Cheng Haitao 
Published: August 2023

Abstract
Based on the Markov model, a fault warning system for power grid operation is proposed. Its main objective is to improve the execution effect of alarm commands. Firstly, the power grid operation reliability evaluation model based on the Markov model is established. According to the set critical value to judge the change of power grid operation state. Develop abnormal alarm commands for power grid operation. Strange events are described in detail using natural language technology, and corresponding instructions are completed in the system. After the comparative test, the new alarm improved more remarkably than the traditional intelligent alarm mode.
The curriculum optimization exercise system of college physical aerobics based on partial differential equation
Authors: Shen Han 
Published: August 2023

Abstract
To better understand the research on how to improve the exercise of the college body aerobics curriculum, a method based on the equality of the half. By using the conditions in the theory of the difference between the variables to solve the selection problem in the multivariate experiment, it is equivalent to the design of the decision importance. Given the current situation of teaching aerobics in physical exercise at colleges and universities, an optimization of teaching aerobics is created. Through the test report, the relevant information has been identified. At this stage, there is no difference between the two groups in terms of skills and theoretical knowledge, but in self-exercise, the P value is less than 0.05, there is a difference, assuming that the New teaching has an important role in the development of students’ ideas. The goal is to use the best methods of teaching aerobics, solving the conflict between teaching hours and teaching methods of teaching aerobics for physical education in buildings colleges, and universities, and strive to make students get the best results in a limited time, thus making people attach importance to theoretical research and ideas of aerobics training.
Prediction of Cyberspace Security Data Based on the Markov Chain Model
Authors: Zhang Xinmiao 
Published: August 2023

Abstract
In the era of people’s access to information, the network has undergone tremendous development, the connection patterns of network attacks have become endless, and the number of attack network methods is increasing year by year. Based on the Markov model, the author studies the problem of network security authentication and aims to determine the truth of network security. In this way, network security managers can identify current network security issues, and we can gain a better understanding of the current network situation so that we can update our current security network promptly. The development process proposed by the author is simulated and the obtained results are all compared and evaluated. The experimental results show that the hidden Markov model algorithm is improved, the network security situation is better recognized, and the accuracy of the n network security problem is better known. At the same time, it is known to predict network security problems in the future according to the application model of predicting network security problems. Tests have shown that the development process is feasible and effective.
Statistical Analysis of Advanced Mathematics Teaching Quality Evaluation Based on Quantile Regression Model
Authors: Chen Junying , Zeng Haoyu , Wang Lijuan 
Published: August 2023

Abstract
To understand the quantile regression model, research on a statistical analysis of advanced mathematics teaching quality evaluation was proposed. In the research, based on the test bank and questionnaires, statistical analysis was applied to examine the quality of the test bank and investigate the factors affecting the teaching quality, to understand the students’ scores, find the main factors affecting the teaching quality and use them to analyze the students’ learning status and learning quality. This will help teachers understand and grasp the students’ learning process and improve their teaching ability. And it can provide a theoretical basis for qualitative and quantitative analysis to further improve the high quality.
Improved K-SVD Model in Higher Vocational Physics Teaching
Authors: Yang Shuai 
Published: August 2023

Abstract
In physics class, the residual data before and after noise elimination contains more image information. In the equivalent wave domain, the K-SVD method is used to eliminate noise in the noise image of each frequency band and the residual of each frequency band. The main objective is to improve the image quality of noise. The method is combined with the denoised sub-spectrum to obtain the denoised sub-spectrum with the residual signal. An inverse isomorphic wave is used for noise reduction. The simulation results show that the noise reduction algorithm using K-SVD is better than the equivalent waveform and K-SVD mode. This method has achieved good results in practical application.
Vocational Education Agglomeration Promoting Innovation and Entrepreneurship Based on Spatial Dubin Model
Authors: Du Fengshun , Hou Chen 
Published: August 2023

Abstract
Based on the spatial Dubin model, this paper theoretically discusses the influence of collaborative innovation on regional economic growth. The paper studies the industrial structure of enterprises by using the spatial Dubin method established by different regions and social and economic factors. It is found that collaborative innovation has a spillover effect on domestic industrial development both internally and externally. The regional migration of creative elements within the region mainly causes space overflow. And it has the characteristics of regional decline. This conclusion has specific guiding significance to the mechanism of enterprise collaborative innovation. This mode plays a positive role in promoting benign exchanges between regions and realizing industrial development and upgrading.
The Innovative Development Model of Ideological and Political Education Based on Big Data and We Media
Authors: Lv Yonghong , Li Xiangyu 
Published: August 2023

Abstract
To achieve the teaching objectives effectively and achieve the main objectives of ideological and political education, the author proposed research on the new curriculum design of ideological and political education based on the mass media and the Three Media. Based on the questionnaire survey, analyzes the opportunities and challenges brought to the college counselors in the mass database, including educational content, educational content, and educational methods, and introduces the problems in the present thinking and work of the college counselors. and This paper discusses the concept, content, process, and supervision system of the new ideological and political work. First, we need to build a good network environment, and then we need to build a sound information platform; and then we need to build a sound information platform. Thirdly, counselors should improve their culture and work continuously, adhere to life-long education, and colleges and universities should pay more attention to training talents and improve the ability to use information. As an important channel of national and political education, ideological and political education in colleges and universities plays an important role and role, which directly determines the structure of students” Three perspectives So, when carrying out ideological and political education, we should energetically adapt to the changes in the age of mass information, carry out educational informatization, and perfect the teaching level of educational informatization.
Effect evaluation of ideological and political guidance in university party construction based on hierarchical analysis model
Authors: Li Cong , Zhao Yuanpeng , Wang Dan , Zhong Li 
Published: August 2023

Abstract
To further explore the evaluation model of the quality of college students working in vocational colleges, this paper proposes to establish an evaluation index system for the quality of college students working in vocational colleges according to the four main factors of the domestic vocational college, which is based on the analysis of the quality. the work of the party building, the quality and responsibility of the party members, and the mass examination; In the process of evaluating the quality of college students’ dormitory building, various useful and useful information were determined, and the evaluation model was established by using the analytic hierarchy process, and the weight coefficients of various influential factors were determined by the combined method. First of all, according to the characteristics and requirements of the student’s institution, combined with the system of employment management widely used in China, combined with the practice of students’ institution, thoroughly analyzed various factors which affect the quality of the student’s institution building, and establish a more effective and objective evaluation index system. Secondly, using the analytic hierarchy process to scientifically classify the indicators, and determine the evaluation factor set and evaluation criteria, establish a hierarchical structure model. Finally, combined with the hierarchical structure model, the relative weight of each evaluation factor is given using the principle of fuzzy mathematics.
Multimodal Corpus Construction and Research of Intercultural Communication Based on Multiple Regression Equation
Authors: Yao Wenjing 
Published: August 2023

Abstract
To promote the transformation of education and teaching concepts, guide the reform of teaching content and teaching methods, and promote the joint construction and sharing of high-quality curriculum teaching resources in colleges and universities through modern information technology, improve the quality of talent training and serve the construction of a learning society. Using video analysis and website research methods, the author takes the cross-cultural communication courses offered by 22 universities in the national excellent resource sharing courses published by the multimodal online corpus of “Love Course Network” as the research sample, taking the playability of teaching videos, noise level, picture definition, multimedia courseware playing, utilization of curriculum resources and network interaction as research contents, the construction and application of teaching videos are analyzed in depth. The results show that, in the construction of intercultural communication sharing courses, there are still problems such as poor playability of teaching videos, noise and poor picture clarity.
Product Marketing Diffusion Under the Background of Digital Economy Based on Improved Bass Model
Authors: Zhu Jiaqi 
Published: August 2023

Abstract
Based on the improved Bass model, this paper studies online social platforms’ product information dissemination mode. This paper studies the Bass model based on the attenuation effect of user benefits. The dissemination mode of product information is established. It is the effect of product information quality on product information dissemination. Finally, an empirical analysis is made of the communication materials of the films released from 2013 to 2022. It is found that the user switching engine and the user’s consumption have obvious effects on the information transmission. This model has better prediction accuracy and fitting performance than the Bass model. This model can be applied to the calculation of other damped transport rates.
Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm
Authors: Han Peiqing 
Published: August 2023

Abstract
This paper introduces the student-centered new intelligent, comprehensive teaching model. This paper uses the accumulated user behavior data on the platform to build a personalized recommendation model. The system provides a personalized learning route for students to choose learning strategies and resources. This method converts the user’s learning process into the user’s evaluation of the system to solve the problem of the scoring matrix. Secondly, it proposes to improve users’ similarity based on their initial marking to overcome the personalized model concept of cold start questioning of new customers effectively. Examples show that the proposed method can improve the efficiency of personalized recommendations.
Application of computers in artificial intelligence in the context of big data
Authors: Sun Manman , Cui Suli , Qiu Bin 
Published: August 2023

Abstract
To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big data algorithm model and artificial intelligence algorithm in computers, we propose an algorithm based on a decision tree and logistic regression model in big data to query literature papers in the field of artificial intelligence as an example and compare and analyze the accuracy, accuracy, completeness, and F1 value of the obtained data through two categories of experiments. The experimental results show that the decision tree and logistic regression algorithm model based on big data can make the data finding accuracy of 89%, accuracy of 92%, and completeness of 87%, and optimize the speed and quality of the computer algorithm in the process of processing big data. This shows that the computer in the context of big data can provide access to data through algorithmic models in the field of artificial intelligence, which can improve the accuracy and authenticity of data sources and provide data support for in-depth research in the field of artificial intelligence.
Optimization of ecological sports innovation teaching path based on multiple intelligence evaluation model
Authors: Hao Anying , Li Liangfa , Wang Jing 
Published: August 2023

Abstract
Rural sports tourism is an emerging industry that integrates rural tourism and sports tourism and plays an important role in broadening the field of sports and cultural consumption and driving rural economic development. Under the background of big data, how to better integrate rural sports culture and sports tourism becomes an important issue to improve the quality of rural tourism. This paper analyzes the big data of rural sports tourism on the Internet review platform based on big data processing technology, combined with the investigation and research on the current situation of rural sports tourism resources in a town. The big data analysis shows that rural sports tourists are only 7% more female than male, and the overall gender ratio is relatively balanced. In terms of age composition, the largest number of tourists were between 36 and 45 years old, accounting for 42.6%. In addition, rural sports tourists aged 26 to 60 accounted for 82.6% of all, indicating that rural sports tourism is dominated by middle-aged and elderly people. In terms of travel time, the largest number of rural sports tourists chose 2 to 3 days, accounting for 33.8%, and only 2.3% traveled for more than 7 days. In the choice of travel mode, 37.6% of tourists are organized by travel agencies, accounting for the largest number of travelers. From the big data emotional analysis of the evaluation words of sports tourists, the most frequent occurrence is characteristic, reaching 435 times, and the least frequent is danger, but also 89 times. Meanwhile, convenience and health also appear more frequently. Comprehensive analysis of the above, this paper believes that rural sports tourism should promote more local characteristics of sports culture and highlight differentiation while strengthening personal safety protection measures for tourists.
Huanghua Port enters carbon neutrality ahead of schedule through technological innovation
Authors: Li Hongjun 
Published: August 2023

Abstract
To improve the energy utilization rate and reduce the pollution of the port, the Huanghua Port uses technological innovation to enter carbon neutrality is proposed. According to the study of the working characteristics of a three-phase asynchronous motor, the copper loss and iron consumption of the motor are reduced, permanent magnets are embedded in the rotor to generate a magnetic field directly, and the kinetic energy and potential energy of mechanical operation are converted to power generation and recycled, and the braking power generation characteristics of the motor are used to complete power recovery. The tension of the upper and lower sides of the belt before it starts to rotate is equal, and the tensioning force should meet the starting requirements, and the working section of the belt carrying goods horizontally is divided and calculated according to the evenly distributed rollers until it runs at a uniform speed. According to its power consumption, calculate the cost of using an auxiliary generator to generate and connect electricity, use the power supply to supply the power demand, let the motor run in the rated load area as much as possible, reduce the voltage, and reduce the motor subway consumption, to improve the efficiency of the motor and realize the green energy saving of the port. The analysis of the results shows that: through this paper technical innovation of the whole process of all equipment comprehensive optimization, the port process line efficiency increased by 17.5% on average, equivalent energy saving of nearly 17%, the amount of work using time more reasonable, to ensure that the quality of work does not decline while reducing the waste of power resources, thus affecting the port efficiency improvement.
Research on vectorized engineering file management model
Authors: Chen Siruo , Zheng Xuemei , Chen Yanjiang , Du Shuiting 
Published: August 2023

Abstract
To solve the problem of low efficiency of engineering archives management in the general environment, this paper researches vectorized engineering archives management mode. Firstly, the composition of the archive management system is introduced, the basic system is established according to the cyclic management process of engineering archives, and the vectorization technology and characteristics are explained. Subsequently, the traditional vectorization algorithm based on edge structure extraction is used as an example, and further vectorization calculation is carried out using the bilateral filtering model, weighted least squares method, Lo gradient minimization model, Snake parameter activity contour model, geometric activity contour model, and aggregation algorithm. The advantages of vectorization techniques in information extraction are exploited to provide necessary assistance to the actual archive management work. The results show that the images processed by vectorization have the lowest compression rate, with an average compression rate of 55.67%; among the three methods, the image storage space and compression time under vectorization technology are the smallest at about 324MB and 3.4s; and the method in this paper has the highest output signal-to-noise ratio and the lowest mean square error, which well preserves the shape of the signal time domain waveform and has better noise reduction performance.
Analysis of the current situation of university-city integration development based on data mining technology and exploration of the optimization path
Authors: Jiang Haibo , Jiang Yihuo , Guo Xiaomei 
Published: August 2023

Abstract
University is an inevitable product of a city’s development to a specific stage. In different social environments and historical stages, universities always develop symbiotically with cities, and the integration of the higher education system and emerging technologies can accelerate the regional economic development of universities and cities. Based on data mining technology, this study uses a neural network algorithm to establish an algorithmic model and sigmoid function as the incentive function to analyze the integration development of the emerging technology industry and university in Dongguan city and provide an optimization path for the integration development of the city and university. The research results show that in the field of scientific and technological research results, the universities in Dongguan City applied for 49,726 patents in 2021 and authorized 25,523, with an efficiency rate of 51.33%. In the area of urban economic development, Dongguan’s GDP in 2021 showed strong momentum, achieving a regional GDP of 108.554 billion yuan, up 8.2% over the previous year.
Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning
Authors: Guo Xiaomei , Jiang Yihuo , Jiang Haibo 
Published: August 2023

Abstract
Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of mechanisms and assessment systems for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper’s method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the Euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.