bluuebunny/crossref_metadata_2025_split huggingface dataset:
An informative teaching model of English-Chinese translation in universities based on the perceptual machine model
Authors: Xue Shuang , Wang Xiang 
Published: September 2023

Abstract
With the development of globalization, there is an increasing demand for English-Chinese translation talents in the country and society. In this paper, a text classifier based on multilayer perceptron is proposed, an MLP structure containing two layers of feedforward neural network is designed for the characteristics of English-Chinese translation corpus, the training samples are selected with text height mainly below 60 pixels, and the best sliding window of 13×13 is selected by comparison, supplemented by the smoothing method of mathematical morphology. The constructed MLP-based information-based teaching model is then applied to teaching English-Chinese translation in colleges and universities and is mainly evaluated in terms of student evaluation and teaching effectiveness. There were 28.48 percentage points more English-Chinese translation students who thought the class was more interesting than the original, while 20.56% and 20.50% more students evaluated the class as more helpful and less helpful, respectively. The average score of English-Chinese translation students increased by 15.88% compared to the original one through the comparison test between traditional and informational teaching modes. The MLP-based informatization teaching can mobilize students’ enthusiasm to participate in English-Chinese translation learning, strengthen the guidance of translation methods, and improve students’ translation levels.
Research on the integration of traditional culture into the teaching of ancient literature courses in colleges and universities in the context of big data
Authors: Du Zhenqiang 
Published: September 2023

Abstract
The research on the integration of traditional culture into the teaching of ancient literature courses in colleges and universities is to be able to inherit better and develop traditional Chinese culture. In this paper, the hyperparameters of the XGBoost algorithm are optimized using the sparrow search optimization algorithm in the context of big data, which leads to the SSA-XGBoost analysis model. The basic content, characteristics and contemporary values of traditional culture are analyzed in detail, and the SSA-XGBoost analysis model is used to analyze and demonstrate the teaching principles and methods of the traditional culture integration ancient literature course. From the viewpoint of teaching principles, the intuitive principle has the largest growth rate of 10.99%. In terms of teaching methods, the most popular teaching method was the activity-assisted method, with 41.8%. Thus, teaching traditional culture integrated with ancient literature courses needs to pay attention to the choice of teaching methods and principles to make it more acceptable to students and thus promote the development of traditional culture transmission.
Analysis of the factors influencing economic efficiency in the structural change of e-commerce industry
Authors: Hu Yi , Niu Qiang 
Published: September 2023

Abstract
With the changing structure of the e-commerce industry, the analysis of economic efficiency influencing factors helps to optimize the layout of the e-commerce industry. This paper analyzes the spatial correlation of regional e-commerce economic development by constructing a spatial weight matrix, thus proposing a geographically weighted regression model combining spatial correlation and spatial measurement and constructing a statistical GWR data sample of 11 prefecture-level cities in Jiangxi Province. Then, the DEA model was used to quantify the economic efficiency of the e-commerce industry in these 11 prefecture-level cities, and on this basis, the influencing factors of the e-commerce development efficiency and their related role coefficients were studied based on the GWR model. The average value of the e-commerce industry efficiency of the 11 prefecture-level cities in 2018 was 0.656, which did not reach DEA validity, and the comprehensive technical efficiency of the e-commerce industry varied widely across the regions, and the efficiency of the e-commerce industry in many places The most significant impact on the overall efficiency is the efficiency of the e-commerce industry. The population size, which reaches 0.856 on average, is the most significant impact on comprehensive efficiency. The information facility base is the most significant impact on pure technical efficiency, which averages 0.823. This study effectively quantifies the role of different influencing factors on the economic efficiency of different sides of the e-commerce industry and can provide an effective reference for the optimization of the structural layout of the e-commerce industry.
Keyword Extraction-based Library Intelligence Services: Challenges, Adaptations and Reinvention
Authors: Xie Ruixia 
Published: September 2023

Abstract
This paper proposes a domain knowledge base construction platform for thematic intelligence services of library intelligence institutions. The platform proposes a keyword extraction algorithm applicable to the literature resources of library intelligence services based on a statistical model and N-Gram model combined with feature word information. The automatic summary algorithm based on statistics combines the information of sentence content and location to comprehensively evaluate the weights of candidate summary sentences and achieve automatic summary extraction. Based on the HDP topic model, a literature recommendation model oriented to the resource retrieval context is proposed, which can convert the literature feature similarity calculation to the topic similarity calculation with implied literature feature semantics from the perspective of semantic analysis and improve the accuracy of recommended literature. The technical feasibility of this system platform is verified through relevant data experiments. Regarding the accuracy of the literature recommendation, the platform of this paper and the traditional method are 86.36% and 75.16%, respectively, and the recall rate is 67.29% and 57.25%, respectively. The platform scored 3.85 on the comprehensive evaluation of library intelligence service, close to the excellent level. Therefore, the platform can realize various functions, from resource collection and organization to resource processing and utilization, with certain practical significance.
Analysis of the evolutionary path of early civilization agriculture based on the plain Bayesian model
Authors: He Yang 
Published: September 2023

Abstract
First, this paper focuses on the problem of nonlinear association between attributes and categories, combines inverse document frequency information and deep attribute weighting, improves the distance correlation coefficient, and proposes an attribute-weighted polynomial plain Bayesian text classification algorithm based on the improved distance correlation coefficient. Then a specific scheme for stage classification of early Chinese civilization provides a theoretical premise and expository framework for systematically exploring the relationship between primitive agricultural types and early Chinese civilization and also provides conditions for forming the agricultural revolution of early Chinese civilization in the Central Plains region. Finally, according to the research objectives, the 7000-year-old Ningzhen area was selected as the research object, and the attribute-weighted polynomial plain Bayesian text classification algorithm was used to analyze the data of the research object. The results show that: in the Neolithic burials of the North Yingying culture period alone, there are 240 burial relics with a total of 1,580 pieces of all burial relics, including 554 pieces of stone production workers, but the fundamental reason is the active change of human for the survival crisis. This study is a preliminary attempt to conduct an interdisciplinary study on the history of agriculture and civilization and provides an academic path for the sublimation of agricultural history to the study of the history of agricultural civilization.
Research and Application of Cross-media Knowledge Discovery Service Based on Deep Learning Model
Authors: Li Hongbo , Li Xin , Liu Boning , Mao Kaiji , Xu Hemin 
Published: September 2023

Abstract
With the diversification and complexity of multimedia data on big data, it becomes increasingly important to realize accurate and effective mutual retrieval among cross-media knowledge service data. In this paper, we first improve the structure of cross-media knowledge deep relevance analysis and apply it to cross-media data to construct cross-media relevance learning evaluation metrics. Then deep learning is commonly used for training classification labels or mapping vectors to another vector space by supervision, and with the rapid growth of data size and hardware resources, the advantages of deep learning in handling large-scale complex data will become more and more obvious. According to the experimental scheme to extract the features of the original data of Wikipedia and NUS-WIDE and the comparative analysis of the results based on the CCA extension method, the performance of CMC-DCCA on the dataset is 0.319, 0.338, 0.363, and 0.372, respectively, and it outperforms the other four algorithms. This study constructs a correlation analysis model between different media data to mine the correlations between cross-media data, thus realizing cross-media knowledge discovery service research while spawning more intuitive and concrete multimedia information carriers so that users can obtain more comprehensive information.
Analysis of the practice in college English listening teaching based on multimedia technology
Authors: Wang Ling 
Published: September 2023

Abstract
Multimedia speech labs have been greatly developed in English teaching in recent years to minimize the laboratory background noise in speech signals. In this paper, from analyzing and improving the dynamic noise reduction model of the original system, two noise removal schemes, wavelet analysis and Wiener filtering are studied more systematically, and a speech enhancement model, wavelet domain Wiener filtering noise reduction model (WWF), is proposed and initially implemented by fusing the two. This model can better meet the requirements of the original system, thus laying a better foundation for subsequent speech recognition. Finally, the algorithm is used to optimize the multimedia all-digital language learning system and test this multimedia technology’s effectiveness for college English listening teaching. In the two listening tests, the average score of the experimental class in the first test increased by 6.1 points compared to the first test score, while the control class only increased by 1.8 points, and the average score of the experimental class in the second test increased by 12.9%, while the control class increased by 6.7%. Therefore, combining multimedia and foreign language teaching can make teaching activities integrate text, sound, image, image, and animation, which can mobilize and stimulate students’ learning enthusiasm and initiative to the maximum extent and thus improve teaching efficiency.
New Digital Infrastructure, Financial Resource Allocation and High Quality Economic Development in the Internet Era
Authors: Liu Xin 
Published: September 2023

Abstract
This paper first establishes the index system of high-quality economic development and realizes the calculation of economic high-quality development score with the help of the entropy value method and coupling mechanism. Secondly, by constructing a spatial autocorrelation model, the spatial spillover effect of new infrastructure on high-quality economic development is empirically investigated. The mediation effect of digital new infrastructure on economic high-quality development through industrial structure and technological progress is continued to be analyzed. Finally, based on the panel data of 30 Chinese provinces from 2008 to 2020, the dynamic panel threshold model and the dynamic spatial Durbin model are used to test the nonlinear effects of financial resource allocation on the convergence of high-quality economic development and the mechanism of action, respectively. It is found that the direct effect coefficient of digital new infrastructure is 0.002 with a p-value less than 5%, and the indirect effect coefficient is 0.004, which passes the significance test at the 1% level. It is conducive to promoting high-quality economic development, and the allocation of financial resources can significantly enhance the role of new digital infrastructure in promoting high-quality economic development. Accordingly, implementing the new digital infrastructure proposed in this paper has contributed to the modernization of government governance, optimized the allocation of financial resources, and promoted high-quality economic development.
Construction of an intelligent agricultural irrigation control platform based on PLC technology
Authors: Li Miaoqi , Zhang Rui , Zhang Xiaoyan , Shi Jinhao 
Published: September 2023

Abstract
This paper firstly constructs a PLC-based intelligent irrigation control system, analyzes the requirements of its system functions, and determines three major modules of the system: data acquisition module, intelligent irrigation module, and Web service module. Then the system fuzzy control process is determined. According to the moisture value collected by the soil moisture sensor, the average is taken, and the deviation and deviation change rate is obtained by calculating the difference with the set value, and the control value is obtained by querying the previously deposited fuzzy control table through a series of transformations, and the command is executed according to the program setting. The automatic irrigation requirement is achieved by controlling the solenoid valve on and off. Finally, the analysis of system functions in terms of sensor accuracy, system function testing, and temperature and air humidity prediction accuracy was carried out. Regarding sensor accuracy, the error of relative soil moisture content is within 3%, and the relative error of soil temperature is within 0.5. In the system control function test, the solenoid valve will open for irrigation when the soil relative water content is lower than 40% or higher than 70% of the warning range, and the lighting will be turned on when the light intensity is lower than 200 Lux, and the system control is in line with the expectation. The intelligent irrigation system is of great significance to agricultural development.
Visualization design of talent training paths in university education based on pattern knowledge
Authors: Guan Yu , Luo Jing , Zong Zhijuan 
Published: September 2023

Abstract
In the background of big data informatization, social and economic development needs talent support, and colleges and universities are the main positions of talent training. Using the features of self-organization, distributed multi-intelligence and positive feedback of the ant colony algorithm, a personalized learning path recommendation algorithm supporting pattern knowledge is proposed by combining the above learning feature model. The subject starts an independent solution search simultaneously at multiple points in the problem space, which increases the algorithm’s reliability and gives the algorithm a strong global search capability. When performing talent development path recommendation, the collaborative mechanism of distributed multi-subjects of the ant colony algorithm makes it possible to find an acceptable path quickly. Combined with the new knowledge representation model, the matching degree of students and learning objects is calculated from three dimensions, the heuristic information is obtained accordingly, and the Euclidean distance is used for matching degree calculation. Using the ant colony optimization algorithm to analyze the paths for cultivating talents in college education, it is concluded that in terms of the number of teachers: the total number of teachers with positive senior titles in five colleges and universities is 238, accounting for 8.88%, and the number of full-time teachers with senior associate titles is 618, accounting for 23.07%, all of which are lower than the average level in Fujian Province. This study has some reference significance to the cultivation of applied talents in local colleges and universities and has some reference value to the government in formulating the policy of cultivating talents in colleges and universities.
Analysis of vehicle paths for sharing e-commerce logistics resources in China
Authors: Xie Feng 
Published: September 2023

Abstract
With the change in shopping methods, people have higher and higher requirements for e-commerce logistics transportation. In this paper, we first briefly study the dynamic vehicle path problem under pickup and delivery mixture and determine the modeling idea of regular path adjustment strategy. Then, based on the constraints of vehicle access rules, travel time, vehicle continuity, loading capacity ceiling, dynamic vehicle path adjustment, etc., a mathematical model to minimize the total cost consisting of vehicle call cost, travel cost, and time window penalty cost together is constructed. Finally, a single-objective optimization with the total vehicle distance as the objective is performed on the original data, and the interrelationship between the objectives in the score MOMDVRP algorithm is solved for the optimal route scheme. In the route of the optimal compromise scheme, the distance of each vehicle, although not reaching the equilibrium degree in the social scheme, is much better than the economic scheme and the environmental scheme, and the difference between the longest drive and the shortest drive is 1.47km, which is about 28.79% and 69.9% less than the difference between the economic scheme and the environmental scheme of 2.171km and 495km, and each objective has reached a more balanced state. It is of great practical significance to study the optimization of the shared path of e-commerce logistics transportation resources.
Research on optimization design of physics teaching objectives based on information fusion technology
Authors: Yang Yongqing 
Published: September 2023

Abstract
Physics experiment is one of the key points and difficulties of physics teaching, and it has become a recognized bottleneck that restricts the quality of physics teaching. This paper firstly explores the integration of high school physics experimental teaching with information technology based on physics experimental teaching practice and physics curriculum standards through various ways and means. Secondly, it proposes constructing a collaborative physics experimental teaching design scheme based on information fusion technology, using three non-hierarchical multi-model fusion methods with Gaussian stochastic processes for modeling to achieve effective fusion of multiple non-hierarchical models of physics response information and physics teaching. Finally, a practical study in the form of a physics experimental teaching case is analyzed, and the teaching effect is measured to verify the effectiveness and feasibility of the design scheme. The results show that the physics teaching design based on information fusion technology effectively improves students’ experimental performance by 21.2%, learning interest by 36.4%, and learning participation by 19.8%. This study takes physics experimental teaching and information fusion technology as the entry point and improves the overall teaching quality of physics as the goal, which provides reference or reference teaching reform and practice in the context of information technology.
Analysis of the application of computer-aided design in industrial product design based on
Authors: Li Yun 
Published: September 2023

Abstract
The purpose of exploring the application of computer-aided design technology in industrial product design is to realize the diversification of industrial product design and meet the personalized customization needs of customers. Starting from computer-aided technology, this paper illustrates the optimization of CAD design by using a genetic algorithm and constructs a bipolar progressive interactive genetic algorithm using bipolar progressive ranking and fuzzy fitness jointly. Genetic algorithm genotypes in CAD process product design are defined, and a comparative evaluation experimental analysis of industrial product design is performed with the AR-IGA algorithm. Regarding the number of iterations, the average number of iterations for the AR-IGA algorithm to complete the color-matching design of process products among ten testers was 9.34, which was 36.42% lower than that of the TIGA algorithm. The average evaluation elapsed time of the AR-IGA algorithm was 246.9s, which was 24.12% less than the average evaluation elapsed time of the TIGA algorithm. This shows that computer-aided technology optimized by genetic algorithms can effectively improve the efficiency of industrial product design and satisfy more customers to realize personalized design simultaneously.
Study of online learning time and learning performance model based on learning platform
Authors: Han Lili 
Published: September 2023

Abstract
In the new online learning environment where information technology and education are integrated, it is important to understand the learning patterns of online learners and then predict their learning outcomes to improve learning effectiveness of online learners. In this paper, we collect students’ online learning behavior data through an online learning platform and further investigate the influence mechanism between online learning behavior characteristics and learning performance with the help of the OCCP classification model and the 3D S-F-T model. Meanwhile, the Light GBM algorithm is based on its advantages in noise and distributed processing based on its high accuracy and strong generalization ability in classification problems. The Light GBM algorithm constructs the performance prediction model for the selected learning behavior feature data. The results show that the accuracy of academic achievement prediction based on the Light GBM model is 0.85, and the accuracy of sample prediction classification is H (85%), M (73%) and L (89%), indicating that the model is effective for academic achievement prediction. The experimental results confirm that the prediction method can more accurately identify at-risk students and provide more intuitive and accurate feedback on learners’ problems and deficiencies in the learning process to support the implementation of personalized education interventions.