bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on automatic UAV path planning technology for complex terrain under neural network perspective
Authors: Zuo Qinghai , Pan Weijun , Zeng Chen 
Published: November 2024

Abstract
UAV path planning originates from robot motion planning, which is the core content of the current UAV application research and plays a key role in improving the operational capability of UAS in low-altitude complex environments. In this paper, the neural network algorithm is utilized to study the path planning problem of UAVs in complex terrain environments. A three-dimensional map model of complex terrain is created using an interpolation composition method, and an adaptation function is introduced to address the smoothness issue in path planning. The UAV’s kinematic model is created by simplifying it into a three-degree-of-freedom mass and using both proportional feedback and feedforward to determine control inputs. The neural network structure adjusts the initial point, and the neural network of an obstacle penalty function and the energy function of the entire path is constructed. With comprehensive waypoint position analysis and the help of adaptive learning factors, this paper completes the path planning for UAVs in complex terrain conditions. This paper’s algorithm for forest fire patrol can reach 100% coverage rate when applying the path planning algorithm to forest fire aviation emergency rescue scenarios. In the forest fire emergency relief material distribution, the path planned by this paper’s algorithm can effectively distribute the relief materials to five target points while successfully avoiding all the obstacles.
Research on high-precision rotational inertia characteristic modeling and control method for auxiliary services
Authors: Wu Yang , Xie Yigong , Zhu Xinchun , Liu Shuangquan , Zhang Bingjin 
Published: November 2024

Abstract
The traditional microgrid electric energy system exhibits low damping and low inertia, making it susceptible to load fluctuations that can significantly impact the system. A new study suggests a way to control a microgrid virtual synchronous generator (VSG) using adaptive regulation of rotational inertia. This lowers the frequency steady-state offset of the VSG control system’s output by using a non-differential frequency regulation method. The virtual excitation regulator regulates the output voltage deviation. Meanwhile, we establish a small-signal model of the grid-connected inverter based on VSG control and explore the effects of rotational inertia and damping coefficient on the stability of the VSG. The MATLAB/Simulink simulation tool is used to simulate the microgrid differential power load mutation, and the effects of the VSG control and the traditional control strategy on several aspects of the system, such as frequency regulation, power regulation, and power quality, are analyzed by comparison. The findings show that the suggested adaptive control method lowers the voltage amplitude from ±25V to ±10V when the system is isolated, stops power fluctuations, and makes the output response curve as good as it can be. Under grid-connected conditions, the VSG adaptive control method still ensures better control performance, but it does not show a significant advantage in this experimental condition.
Measurement and Analysis of Industry Risk-Return Value Measurement and Analysis in the Context of Big Data Technology - A Study Based on VaR and VaB
Authors: Xue Ziyu , Jiang Wenjiang 
Published: November 2024

Abstract
Based on VaR and VaB research methods, this paper constructs a regression model based on industry risk-return value metrics using a Bayesian-expected quantile regression algorithm in the context of big data. The parameters of the Bayesian model are estimated using the decision function, and then the metric effects of the model are evaluated using AIC and BIC. Finally, the relationship between industry risk and return is evaluated using the Bayesian-Expectation Quartile regression model. Under the Bayesian-Expectile model, the difference between the correlation coefficients of AIC (−0.7431, −0.9563, −0.7872, −0.9137) and BIC (−0.0547, −0.0768, −0.0559) is relatively small, reflecting the fact that the Internet financial innovations have not significantly pushed up the risk-free rate of return of the society while pushing up the society’s financing cost. In addition, the three models used in this paper have close EvaR prediction results for information technology, daily consumption and telecommunication services, indicating that the credibility of the industry risk prediction results proposed in this paper is high. The relationship between idiosyncratic volatility and the adjusted return for the next period is related to the time-varying nature of the characteristics of individual stocks, as well as the individual stocks of industry-risk firms. Incorporating factors that affect conditional equity premiums into the time-varying conditions of individual stocks can more accurately reflect the risk-taking of individual stocks of risky firms.
New Forms of Public Art in the Digital Age and Their Impact on Community Interaction Patterns
Authors: Peng Fu , Peng Xiaoyu 
Published: November 2024

Abstract
This paper summarizes the social function of public art under the perspective of digital technology, takes interactive installation art as the main research path, and proposes the design scheme of interactive installation art in community public space with regard to three aspects: sense of context, sense of user participation, and practicality of the installation. Through the way of practical research, analyze the general overview of the subject area and design an installation art scheme that meets the subject area. Set up an example investigation to research and analyze how public art installations affect the interaction of community users. In response to the two installation art interaction methods, users found the operation of the installation MI to be more difficult than that of the installation MT, with the degree of difficulty for both being 3.43 and 4.016, respectively. As for the level of interest, users are more interested in the device MT with a level value of 3.781. The range of [4.3,4.5] is where the mean values of most measured indicators are concentrated in the satisfaction analysis. Meanwhile, the measured values of all the indicators are greater than 4. The overall design of the interactive installation art in the public space is good, and the community is accepting of it.
Developing a Dynamic Marketing Channel Model for Agricultural Cooperatives in the New Media Economy Using the Power of the Internet of Things
Authors: Wang Xuejuan 
Published: November 2024

Abstract
The marketing channel is the lifeline of agricultural product circulation and marketing. Multi-level and multi-channel smooth circulation of agricultural products is an important way for agricultural cooperatives to realize the value of their goal. This paper builds an agricultural Internet of Things service system to lay an informatization foundation for the development of dynamic marketing channels of “new media platform + agricultural cooperatives”. With the use of new media platforms as an operational mode and the marketing strategy of agricultural cooperatives as guidance, the marketing effectiveness of agricultural products can be improved. Adopting Internet thinking and innovation trends, comprehending the characteristics of new media marketing, and encouraging collaboration between new media platforms and agricultural cooperatives. Based on 28,450 agricultural cooperatives in China, the marketing channel mode selection and characteristic data were analyzed, and it was found that among the 2,617 cooperatives using new media platforms for channel marketing, the product price fluctuation was between 0 and 10%, and the difficulty of product sales was stable in the interval of [0,40], which indicated that the new media marketing channel could make the price of agricultural products stable and easier to sell. Evolutionary game analysis found that the choice of cooperation or non-cooperation between agricultural cooperatives and new media platforms is related to the coefficient of benefit analysis, the coefficient of cooperation cost, and the liquidated damages of the cooperation between the two parties. Therefore, in order to improve the intensity of cooperation between new media platforms and agricultural cooperatives, improvements should be made in terms of benefits, costs, and liquidated damages.
Research on Numerical Analysis Methods of New Quality Productivity Development in Colleges and Universities Oriented to Party Building Leadership
Authors: Wei Zhedong , Li Jiayan 
Published: November 2024

Abstract
This paper selects key indicators between party building system inputs and new quality productivity output elements of universities and adopts the correlation method to study the relationship between such elements. From the perspective of mathematical analysis, we can show the interactive relationship between intelligent party building inputs and scientific and technological output elements of universities. The questionnaire method is used to conduct an in-depth investigation and research on the actual situation of postgraduate students’ innovation ability and cultivation. The results of the study show that the elements of funding for the construction of the intelligent party building system show a rising trend from 2020 to 2024. The input of funding for smart party building is proportional to the output, i.e., the greater the input, the more output of new quality productivity in colleges and universities. When investigating the importance of party building in the cultivation of postgraduate students’ innovation abilities, 48.2% of the students believe it is very important. About 58% of the students think that the party building system of their students plays a certain role in cultivating innovation ability.
Informatization Construction of Music Education in Colleges and Universities under the Integration of Big Data Technology
Authors: Xiao Ya 
Published: November 2024

Abstract
The in-depth application of big data technology to the information classroom of music education in colleges and universities can help education managers accurately grasp the dynamics of students’ thoughts and behaviors so as to clarify the direction and focus of education management. This paper takes the intelligent body as the “new subject” in the information classroom, integrates the “knowledge structure”, and provides an opportunity for students to realize their creative learning potential. It interprets the concept of big data from multiple perspectives and grasps the application of big data technology in the field of education. The entropy analysis method is used to depict the discrete degree of learning time and achievement in the information-driven classroom of college music education. K-means and Apriori association rule algorithms in big data technology are integrated into the college music information technology classroom to visualize learning behavior data in the classroom. Through the analysis of learning behavior data, it was found that the distribution of students’ scores in the informatized classroom is mainly between 70 and 90 points, and the teaching effect is better. Students generally have “delayed” in completing homework, and the learning effect is positively correlated with the number of logins and the time of informatized learning. The results of the study have certain reference significance for realizing the goal of education information technology construction in colleges and universities.
Information communication and aesthetic value of data visualization in the field of art and design
Authors: Xie Yuguang , Wang Huijing , Li Jin 
Published: November 2024

Abstract
Data visualization has become a popular discipline in today’s society, and understanding this trend has become a hot topic in the field of design. This paper introduces the visual perception system of the human eye, combining graphic features and dynamic features to reveal the visualization mechanism of information dynamic conveying in the field of art design. Then, the quantitative model of visual communication in color and graphic texture in art design, respectively, and the art design image containing rich plants are taken as an example to realize the visual analysis of information communication in the field of art design. There is a significant negative correlation (p > 0.05) between the purity of the foreground image, the foreground image color gamut area, and the proportion of foreground image color matching. This means that the higher the purity of the foreground image, the smaller the color matching area, leading to more coordinated color matching and a higher aesthetic degree. Simultaneously, the alteration in the gray value of the image texture typically exhibits characteristics such as high frequency, small amplitude, and randomness. The use of visualization technology in art design, reasonable collocation of colors, and graphic aesthetics fully demonstrate its aesthetic value.
Research on Improving the Integration Effect of Implicit Civic and Political Elements in Higher Vocational English Teaching Based on Artificial Intelligence Technology
Authors: Yang Yating , Yuan Bowen 
Published: November 2024

Abstract
The use of artificial intelligence-assisted teaching technology for the teaching reform of higher vocational English courses Civic and political education can not only enhance the topicality and ideology of higher vocational English teaching but also promote the development of teaching in the direction of intelligence and precision. The study aims to extract Civics and Politics elements from the higher vocational English curriculum using natural language processing. The BERT pre-training model is used to obtain the word vectors. Then sentences that can be used as text summaries are selected using cosine similarity calculation. Finally, the selected sentences are fine-tuned by the RoBERTa-Seq2Seq model to remove some repetitive words and obtain text summaries. On the basis of the RoBERTa-Seq2Seq model, an enhanced word vector feature dimension, pointer generation network, and coverage penalty mechanism are added to solve related problems in the process of model application. After the curriculum integration based on the model of this paper, the core literacy competence of higher vocational students has significantly improved. The students’ English scores increased by 23.5 points compared to those before curriculum integration. It shows that the model can effectively help teachers improve the effectiveness and quality of classroom education.
Analysis of three-dimensional modeling technology for complex garment structure design with value of computational geometry application
Authors: Zheng Shouyang 
Published: November 2024

Abstract
At present, clothing structure design technology is experiencing a transformation from two-dimensional to three-dimensional, among which, three-dimensional clothing modeling technology is an important part of three-dimensional clothing structure design research. In this paper, on the basis of the SCAPE method, the global mapping method is adopted to obtain the relationship between human body size parameters and PCA weights, and the deformation law of the human body network is deduced by learning the deformation matrix to realize the establishment of personalized 3D human body model based on personalization. After processing the human polygonal model, the NURBS surface is used to create a 3D human body model that indicates smoothness and high realism. Using the Kinect 3D body scanner, model data is collected to construct a 3D anthropometric database that provides data support for subsequent clothing design. Define the simulation state of fabric organization in the computer, construct the geometric structure model of fabric, and model the clothing fabric. Several mainstream algorithms are selected and compared with the algorithm proposed in this paper. The running time of the algorithm proposed in this paper is reduced by 0.3596s and 0.3022s compared to the geometric model method and the constraint model method, which reflects the superiority of the algorithm. The fabric thickness generated by this paper’s algorithm ranges from 1.94-1.99, and the fabric recovery rate in three minutes is more than 98%, the fabric performance is better, and the three-dimensional garment structure design proposed in this paper is effective.
Exploration of the Path to Improve the Efficiency of Digital Textbook Resource Allocation in Vocational Education Supported by Mathematical Modeling Technology
Authors: Tao Lingyun 
Published: November 2024

Abstract
Digital teaching materials help to promote the vocationalization and intelligence of vocational education, however, the current digital teaching materials have some dilemmas at the resource allocation level. This paper begins with the data exchange link in the digital textbook management system and builds an ERDDS resource allocation system with multiple configuration centers and the introduction of scheduling servers. The resource scheduling optimization problem of the configuration system is mathematically modeled, and the multi-objective optimization mathematical model is solved by using the ant colony algorithm to achieve the purpose of improving allocation efficiency. The experiments on the download task show that the ACO algorithm is less time-consuming and stable, with good convergence. The solution accuracy of the algorithm is improved by 13.38%, 25.68% and 18.97% compared to PSO, ACO and MACO, respectively. The average efficiency of using digital textbooks in each college before and after the experiment has been improved by 19.77%, and the average efficiency of allocating digital textbooks has been improved by 11.83%. It shows that the proposed efficiency improvement path for digital textbook resource allocation is feasible and reasonable.
Design of Intelligent Document Categorization System for Office Software Combined with Neural Networks
Authors: Yuan Sufang 
Published: November 2024

Abstract
Office software documents as a carrier of effective information; the complexity of its text determines the efficiency of information extraction. The current research hot spot involves accurately categorizing the document text. In this paper, the document data are processed by document cut, text segmentation, de-duplication, text feature extraction, word frequency statistics and other data processing, and the Word2Vec model is used to represent the text of office software documents. The improved CNNSVM text classification model was constructed by replacing the classifier and fused the attention mechanism module based on the convolutional neural network. In this way, a document categorization system based on a neural network is designed. On the CR dataset, the model in this paper was trained for 25-90 rounds later, and the loss value, recall rate, accuracy rate, and F1 value converged to about 0.1, 0.91, 0.85, and 0.88 in turn. And the accuracy rate of this dataset has been improved by 18.71% when compared to the worst comparison model. The attention module can be used to display different text sequence weights in the model in this paper to correctly classify text. The above experimental results fully demonstrate the superior performance of the model in this paper and its high matching on multiple datasets.
Construction of Music Education Resource Sharing and Management Mechanism in Colleges and Universities under Cloud Computing Platform
Authors: Zhou Guobin 
Published: November 2024

Abstract
The unbalanced characteristics of the current music education information resources are becoming more and more obvious. This paper builds a resource-sharing model framework with the help of cloud computing technology and designs five major mechanisms for resource sharing in music education. Afterward, the value of educational resources is weighted and calculated, and the incentive mechanism for music education resource points is formulated. Finally, the sharing and value of music education resources are investigated, and the feasibility of the mechanism is verified. Under the point incentive mechanism in this paper, fragmented resources have the lowest economic benefit exchange value, followed by complete resources, while curriculum resources have the highest exchange value, and the exchange value scores of the three resources are 0.069-0.146, 0.345-0.645, and 0.580- 1.0 respectively. Additionally, when the number of resources shared is greater than 5, the benefits of shared resources become more stable. This is related to the fact that participants will adjust the amount of their contribution in the sharing system according to the contribution of other participants. A large number of shared resources with low value will result in a relatively large waste of resources. Not only can they not fully contribute their resources, but they also cannot fully enjoy the resources contributed by other people. Therefore, the value of the subject itself will have an impact on the benefits of the shared resources.
Study on Power Market System Architecture and Clearance Pricing Adapted to Large Scale Access of New Energy Resources
Authors: Wang Haohao , Huang Yuanming , Luo Jinqing , Shu Kangan , Yang Liu , Chen Qing 
Published: November 2024

Abstract
The construction of a new type of power market system structure with new energy as the main body is the direction and goal of China’s power development, and the continuous implementation of the “dual-carbon” goal highlights its importance and urgency. The article is focused on the development stage of the new energy power market and establishes a multidimensional synergistic power market system to adapt to large-scale access to renewable energy sources. A coordinated control strategy for facilitating new energy access to the distribution network is established through the calculation of transient currents in the power grid and the uncertainty of new energy output. Based on the calculation results of the power trading offer and load-side uniform tariff, a clearing and pricing mechanism for large-scale access to new energy sources in the power market is designed based on the consideration of the constraints of energy storage. Example data verify the effectiveness of the mechanism. When the new energy output is 5GW or 10GW, the voltage fluctuation of the power system ranges from 0.5 to 1.5, and the PV new energy output remains unchanged after the fluctuation. The subject benefit obtained from the clearing pricing scenario considering storage charging and discharging rights and capacity rights can be up to 9,428.45 yuan, which is 1.67 times higher than the subject benefit considering only storage charging and discharging rights. The clearing pricing mechanism in the multidimensional synergistic power market system helps to analyze pricing strategies under the new energy access power market and improve the economic benefits of various stakeholders.