Grey Correlation Analysis Research Articles

Exploration of Innovative Development and Talent Digital Cultivation Path of Computer Specialties in Colleges and Universities

Abstract In the face of globalization and the rapid evolution of information technology, higher education, particularly in computer science, encounters both challenges and opportunities. This paper investigates strategies for fostering innovation and digital competency among university computer science students. Through an analysis of teaching methodologies across various institutions, student development, and industry collaborations, we propose a comprehensive educational framework. We evaluate and refine our student innovation ability assessment system by employing both quantitative and qualitative approaches, including the entropy weight method and gray correlation analysis. By updating curriculum content, prioritizing hands-on learning, and enhancing industry partnerships, we demonstrate a marked improvement in students’ programming and practical skills—showing 20% and 25% increases, respectively. Our findings advocate for a holistic revamp of teaching approaches, course material, and university-enterprise collaborations, aligning computer science education with the demands of the digital age.

Research on the Evaluation of Training Effect of “Internet + Teaching” Based on Grey Correlation Analysis and BP Neural Network

Research on the Evaluation of Training Effect of “Internet + Teaching” Based on Grey Correlation Analysis and BP Neural Network

Load Pattern Analysis and Consumer Response Potential Evaluation for Demand‐Side Power Regulation

Flexible demand‐side load resources provide a novel approach for promoting power supply‐demand equilibrium and the consumption of renewable energy. However, the assessment of consumer response potential is encountering significant challenges due to uncertain surrounding users’ power consumption behavior and their individual preferences. In this paper, we propose a quantitative method for evaluating the load response potential of consumers based on nonnegative matrix factorization and prospect theory. Firstly, nonnegative matrix factorization is employed to decompose and cluster historical load data, enabling the extraction of typical load patterns for different consumer groups. In addition, three indicators are proposed to assess consumer response potential from dispatchable power capacity, available response time, and response reliability. Considering the bounded rationality and subjective preferences of consumers, this study employs gray correlation analysis and prospect theory to explore how consumers perceive risks and benefits across different indicators. Furthermore, subjective weights are incorporated to reflect the requirements of the power system side. Simulation results demonstrate the advantages of the proposed approach in the comprehensive evaluation of consumer response potential.

Optimization analysis of cold extrusion process parameters for valve screws

This study focuses on valve screws and establishes a cold extrusion simulation model using DEFORM-3D software to analyze the deformation characteristics and influencing factors during the extrusion process. Supported by the theory of rigid-plastic finite element, an orthogonal experimental design is conducted to establish a four-factor three-level simulation scheme with general fillet radius, die clearance, extrusion speed, and friction coefficient as the simulation variables, and maximum equivalent stress on the convex die, forming damage of the blank, and maximum wear depth on the concave die as the objective values. The prediction model based on BP neural network algorithm and orthogonal experimental data shows high accuracy. The optimization problem is simplified into a dimensionless numerical analysis problem using GC grey correlation analysis, and the optimal solutions within each variable range are determined using range analysis. The simulation results after optimization show a 20 5% reduction in maximum equivalent stress on the convex die compared to the original scheme, a 4.9% reduction in forming damage of the extruded part, and a 24.24% reduction in maximum wear depth on the concave die compared to before optimization. The actual verification confirms the good forming effect of valve screw extrusion, with well-formed contours and a uniform surface without wrinkles or defects. Finite element simulation provides valuable guidance for practical production.

Research on Product Model Generation and Visual Presentation Incorporating Computational Aesthetics

Abstract In the era of aesthetic economy, users pay more and more attention to the aesthetic quality and emotional experience of products. The study discusses the intelligent design method of product model integrating computational aesthetics, combines the advantages of variational self-encoder and generative adversarial network, constructs a generative model based on VAE-GAN, and quantitatively analyzes the product images generated by the VAE-GAN network to explore the effect of the products it generates. Then, take the car form generated by the model as an example, establish the visual presentation quantitative index system of the product model form layout, and evaluate the visual presentation effect of the generated car model after applying gray correlation analysis to assign the indexes. The VAE-GAN model has a better generative effect, and its SSIM value is greater than 0.8 in most of the training phases. Among them, the product model generated after 2000 steps of training is the most excellent, with the highest evaluation score. The product model is the most outstanding, with the highest evaluation score of 1.92. The overall visual presentation effect of the product forms generated by the model is good, and the comprehensive evaluation scores are above 0.6. The VAE-GAN model can be used for product generation, and the visual presentation evaluation method that integrates computational aesthetics can realize the aesthetic evaluation of product forms, which can help designers make design creations and program decisions.

Study on the Extensibility of Chinese Traditional Culture in College Education by Combining Gray Correlation Analysis Methods--Taking Miao Batik as an Example

Study on the Extensibility of Chinese Traditional Culture in College Education by Combining Gray Correlation Analysis Methods--Taking Miao Batik as an Example

Research on the role of residential hotels in rural tourism in the context of big data

Abstract The development of residential hotels has new practical significance in today’s rural tourism which is heating up and getting more and more attention and development. This paper constructs a service quality evaluation system for residential hotels based on SERVQUAL service quality model and introduces gray correlation analysis and multiple linear regression to analyze the role and influence of residential hotels on rural tourism development. Taking the data of residential hotels in Province S as the research sample, the gray correlation degree and service quality gap of residential hotel service quality were verified, and the interaction between them was verified by regression analysis under different fixed effects. The results show that the gray correlation of safety in the service quality of residential hotels is the highest at 0.7812, the gap of service quality advantage is 0.46 points higher than the mean value of rural tourism tourists’ expectations, and the explanatory degree of the service quality of residential hotels to the development of rural tourism reaches 72.4% in all dimensions. The development of rural tourism can be boosted by improving service quality in residential hotels and meeting the expectations of tourists regarding rural tourism.

Application and Implications of Artificial Intelligence Technology in Basketball Coaching Decision Making

Abstract The proliferation of artificial intelligence (AI) technologies is significantly enhancing the precision and efficacy of decision-making in basketball. This study focuses on players from the men’s basketball team at School A, employing AI to model their sports postures, collect athletic performance data, and analyze physiological metrics in real time. By utilizing fuzzy gray correlation analysis, the research aims to identify the factors influencing basketball game outcomes, thereby informing tactical decisions for coaches. Moreover, this paper compares the proposed analysis method with other correlation techniques to evaluate its relative superiority. The findings indicate that post-training, the serum levels of all ten athletes exceeded 400 U/L. Yet, the creatine kinase (CK) levels remained below 6.8 mmol/L, and the urine specific gravity surpassed 1.05, suggesting that the training intensity was high but within the athletes’ physiological tolerances. With a correlation coefficient of 0.4, the study confirms a positive impact of game outcomes on the coach’s tactical adaptations. This underscores the utility of integrating AI systems into basketball to facilitate timely and effective decision-making by coaches.

Study on Countermeasures for Protection of Dietary Intangible Cultural Heritage in Henan Province in the Context of Rural Revitalization

Abstract Under the rural revitalization strategy, protecting dietary intangible cultural heritage in Henan Province is particularly important. This study explores the protection countermeasures of intangible cultural heritage of cuisine (shorted as ICH)in Henan Province to promote the sustainable development of culture and tourism. The research methods include DEA model, TOPSIS method, exploratory spatial data analysis and coupling degree analysis. The results show that between 2016 and 2023, the coupling degree of ICH and rural tourism in Henan Province increased from 0.4241 to 0.6917.Especially in Nanyang City, the development of ICH cultural and tourism projects significantly promoted rural tourism, and its level of rural tourism development increased from 0.51 to 0.98.In addition, the grey correlation analysis reveals that the market demand, technological innovation, business interests and policy support are the main influencing factors. The coupling and coordination degree of NGT and rural tourism shows an upward trend. The conclusion points out that the protection of dietary intangible cultural heritage in Henan Province needs to pay attention to market demand, technological innovation and policy support to achieve the dual goals of rural revitalization and cultural protection.

Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education in the Context of Big Data

Abstract Innovation and entrepreneurship education teaching is an important driving force to stimulate the innovation ability of college and university students and to improve them, which puts forward a major test for the teaching ability of college and university teachers as a key part of teaching. This paper analyzes the current situation of the teaching ability of college teachers in innovative entrepreneurship education teaching through a questionnaire survey. It constructs the evaluation index system of innovation and entrepreneurship teaching ability of college teachers, combines the gray correlation analysis method to determine the weight of each index in the system, and finally successfully constructs the rating system of innovation and entrepreneurship teaching ability of college teachers. Regression analysis and gray correlation methods are used to explore the influencing factors of college teachers’ ability to teach innovation and entrepreneurship. It was found that five factors, such as school type, education, and title, had a significant impact on college teachers’ innovation and entrepreneurial teaching ability. The correlation between participation in innovation and entrepreneurship training and the innovation and entrepreneurship teaching ability of college teachers in the gray correlation calculation is 0.758, which has a significant effect on teachers’ innovation and entrepreneurship teaching ability.

Evaluation of the applicability of hospital-affiliated green spaces to patient recovery using the entropy weight method and grey relational analysis.

Hospital affiliated green spaces can help patients recover and recover their physical functions, promote physical and mental relaxation, enhance health awareness, and improve overall health. However, there are still significant questions about how to scientifically construct hospital affiliated green spaces. This study examines the impact of hospital green spaces on patient rehabilitation through scientific evaluation methods, providing reference for the scientific construction of hospital affiliated green spaces. Applicability evaluation was conducted on the affiliated green spaces of three hospitals in Harbin. An evaluation system covering plants, space, accessibility, rehabilitation functions, and promotional and educational functions has been constructed. The entropy weight method is used to determine the weight of indicators, and the grey correlation analysis method is used to evaluate the suitability of green space for patient rehabilitation. The experimental results showed that the landscape accessibility index had the highest weight (0.3005) and the plant index had the lowest weight (0.1628), indicating that caring for special needs is the foundation of hospital landscapes, and plants have subtle and long-term effects on physical and mental health. In the evaluation of the rehabilitation applicability of the affiliated green spaces of various hospitals, the second hospital has the highest grey correlation degree (0.8525), followed by the tumor hospital (0.5306) and the fifth hospital (0.4846). It can be seen that the green space of the second hospital has high applicability for patient rehabilitation, but the green space of the tumor hospital and the fifth hospital needs to be improved and developed. The evaluation criteria used in this study are comprehensive. The landscaping at the Third Hospital is well-planned with good plant configuration and reasonable spatial layout. However, there is insufficient consideration for accessibility in the landscape design, and the details are lacking. The rehabilitation and educational functions of the landscape are inadequate, with limited outdoor activities and low road safety. The hospital's affiliated green spaces should adhere to the principle of "appropriate scale, comprehensive functionality, and educational leisure," integrating rehabilitation and educational functions while increasing the variety of outdoor activities. In the future, emphasis should be placed on exploring the integration of landscape and rehabilitation to provide a functional site that is convenient for visiting, with improved rehabilitation facilities and an educational and enjoyable environment. The design should incorporate elements that contribute to a sense of well-being, including roads and.

Research on Civic and Political Education and Economic Development in the Age of Digital Economy

Abstract This paper constructs the evaluation index system of Civic and Political Education and Digital Economy Development and uses the entropy value method to calculate the weight value of each index in the evaluation system. A gray correlation analysis model is established to explore the degree of correlation and relevance of indicators in the evaluation system of ideological and political education and economic development. Analyze the synergistic development between the two subsystems of ideological and political education and digital economic development by using the coupling degree and the coupling coordination degree analysis method, and explore the degree of coordination of the coupling development between the two. The analysis of the relationship between civic and political education and economic development in the sample sites found that the integrated gray correlation between the two is 0.610, which is a moderate level of correlation. The coupling degree of the two is increasing year by year, and it will reach 0.525 in 2023. On average, the coupling coordination degree reaches 0.610, which belongs to primary coordination. This paper provides data support for the improvement of the coupling coordination between ideological education and economic development in the era of the digital economy. It lays the foundation for the common development of ideological education and economy.

Analyzing the dynamic changes and causes of greenspace landscape patterns in Beijing plains

Beijing Plain is an important region for ecological planning and management. In the past decade, human activities have dramatically changed the spatial and landscape patterns of greenspaces in Beijing Plains. However, very few studies have assessed the main causative factors of these changes. Herein, we analyzed the spatial patterns of greenspaces in the Beijing Plains between 2015 and 2020 using multi-source remote sensing data, geographical information system, and the landscape pattern index. Additionally, we utilized gray correlation analysis to quantitatively analyze the main factors contributing to dynamic changes in the greenspace landscape patterns. We found that the greenspaces in Beijing showed a gradual increase annually from 2015 to 2020. Further, the conversion of greenspace types throughout the study period mainly included the interconversion of woodland and cropland, water, and impervious surfaces. The transfer out of woodlands has been decreasing annually while the transfer in has been increasing. Grassland and shrubs were almost entirely converted into woodlands and other land use types. The fragmentation of the overall greenspace reduced, aggregation increased, and landscape patches tended to be fully distributed, connected, simpler, concentrated, and regular. The advantages of woodland landscapes were gradually becoming more evident. Population urbanization, rapid economic growth, and policies were important factors affecting changes in greenspace landscape patterns. The study findings provide a scientific reference to adjust the greenspace structure, transform and upgrade the existing greenspaces, and ensure sustainable development of cities.

Analysis of Japanese Translation Skills Based on the Perspective of Multimedia Cultural Differences

Abstract This paper screens and calculates the factors affecting the quality of Japanese translation through the gray correlation analysis method. First, the Pearson correlation coefficient is utilized to explore the correlation between each factor and translation quality, and the multicollinearity between the influencing factors is tested. A quadratic test was conducted on the influencing factors using Lasso variable selection and ridge regression methods to eliminate those with linear correlation. On this basis, Japanese translation skills are designed and practiced from the perspectives of naturalized and alienated translation strategies to address cultural differences. The correlation coefficients of the factors affecting the quality of Japanese translation ranged from 0.7017 to 0.9309. The correlation coefficient between translation integrity and average sentence length was 0.491. The overall rating of the translated texts of each student reached a maximum of 97.87 points after using the translation technique. The translation technique in this paper is more effective in Japanese translation, which provides a reference method for the translation strategy under the perspective of cultural differences between China and Japan, and also helps to effectively convey the country’s culture.

Interdisciplinary Talent Cultivation and Development of Drama, Film and Television Literature in the Perspective of New Media

Abstract With the change in knowledge production mode, “inter-specialization of drama, film and literature” has become an important cradle of innovation. In this paper, under the perspective of new media, we have constructed an interdisciplinary talent cultivation mode of drama, film, and literature and its quality evaluation index system, and after standardizing the indexes by using the extreme value method, we calculate the index weights of the inter-disciplinary talent cultivation quality evaluation system by using the entropy weight method. Combining the indicators obtained at all levels and the gray correlation analysis method, the quality level of interprofessional talent training in drama, film, and literature is comprehensively evaluated. To further explore the effectiveness of inter-specialty talent cultivation in drama, film, and literature, a quantitative analysis is carried out with the drama, film, and literature major of T College of Arts as an example. The results show that: In the evaluation of talent cultivation quality, the weight values of ideological and moral level and relocatable ability are 0.342 and 0.207, and the overall proximity of the overall level of interprofessional talent cultivation of drama, film, and literature from 2018 to 2022 has been increased by 0.16. The enhancement of the quality of interprofessional talent cultivation of drama, film, and literature needs to break down the current professional barriers, coordinate the planning, share the resources, and collaborate in the cultivation of human beings to ensure that inter-professional education is steadily promoted and the quality of talent cultivation is effectively improved.

Gray correlation analysis of the big ideology and politics course and academic style construction in colleges and universities oriented to the three-whole-parenting approach

Abstract Academic style, as the core of college culture, has a decisive impact on the development of schools. This paper adopts the gray correlation algorithm and introduces the sequence of dynamic discrimination coefficients to improve the flexibility and accuracy of the analysis. Through the improved gray correlation method, 11 factors affecting the construction of academic style in colleges and universities are studied. The results showed that teachers’ professionalism and teaching methods (15.23), individual students (11.34), social environment (9.51) and teachers’ teaching and management level (7.21) were the main influencing factors. This study provides data support for educational administrators and schools to formulate relevant strategies to promote the construction of excellent school spirit.

Research on Operation and Maintenance Strategy of New Energy Photovoltaic Power Generation System Considering Extreme Weather Conditions

Abstract This paper employs the gray correlation analysis method to compute the correlation between irradiance, ambient temperature, wind speed, and photovoltaic power generation efficiency. This method relies on screened data for data normalization, and after processing, it determines the degree of similarity between the factors. We propose a dynamic combined maintenance strategy for PV power generation systems that considers reliability, overhaul resources, and overhaul time constraints. We propose a two-layer optimization strategy based on extreme weather factors and failure-related characteristics, and we use empirical analysis to investigate the maintenance strategy’s effectiveness. The analysis reveals a positive correlation between irradiance and PV power generation efficiency, with a multiplicative increase in the range of 1-3. In the correlation analysis of ambient temperature and wind speed variables, the power generation curve is not consistent with its trend, which is related to the influence of extreme temperature and extreme wind speed, and the meteorological factors affecting the PV power generation efficiency change at different moments of the day, where the correlation coefficient at 6:45 is 0.912. When the failure correlation strength increases to a value of 0.1, the number of repairs rises to 8. When the weather accessibility ratio is 0.2, the reduction in system availability is up to 62%. The two-layer optimization strategy, which considers extreme weather factors and failure-related characteristics, is both economical and universal.

Multidimensional Risk Assessment of China’s Grain Supply Chain with Entropy Weight TOPSIS Method

As an important part of agricultural products, the stability and reliability of the grain supply chain plays a crucial role in ensuring the smooth operation of the national economy and the harmony and stability of the society. The purpose of this paper is to conduct a comprehensive and in-depth assessment of grain supply chain risks from a multi-dimensional perspective. This paper follows the principle of indicator selection to construct a set of perfect evaluation index system. Based on the sample data from 2008 to 2022, the entropy weight TOPSIS model is used to obtain weights and assessment results, and further application of gray correlation analysis for risk dimension analysis. The following conclusions are finally drawn: the overall decreasing trend of China’s grain supply chain risk is more significant. In addition, this paper finds that planting, operation and delivery risks are the main dimensions affecting the stability of the grain supply chain.

Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

In this paper, we propose a method for effectively evaluating the quality of business English teaching in colleges and universities. The approach is based on a multimodal neural network model integrated with grey correlation analysis. By employing the optimal data clustering criterion, we identify teaching quality evaluation indices. Subsequently, we establish a teaching quality evaluation index system using a genetic algorithm (GA) optimized Radial Basis Function (RBF) neural network. Grey correlation analysis is then applied to assess the quality of business English teaching by considering the relationship between the correlation degree and the evaluation level. The results indicate a correlation degree exceeding 0.90, signifying excellent teaching quality. The reliability of the selected evaluation indicators, assessed through retesting, surpasses 0.700, validating the evaluation results.

The frost resistance performance of basalt fiber-reinforced concrete (BFRC) subjected to fatigue loads coupled with hydrodynamic pressure

In this work, the effects of different stress levels, exposure conditions and freeze‒thaw (F-T) cycles on the mechanical properties of base concrete (BC) and basalt fiber-reinforced pavement concrete (BFRC) were studied. The concrete mass loss, relative dynamic elastic modulus (RDEM) and fracture energy under various loading conditions and F-T cycles were analyzed to characterize its damage evolution. Additionally, through mercury intrusion porosimetry and scanning electron microscopy (SEM), the pore structure characteristics and micromorphology were investigated to explore the mechanism controlling the increase in concrete performance with basalt fiber (BF). Finally, the relationship between the pore structure and damage variable was investigated, and the frost resistance of concrete was evaluated by using gray correlation analysis and rough set theory (RST). The concrete deterioration under coupling actions and F-T cycles could be divided into stages of (i) slow and (ii) rapid increases. The stress level played a decisive role in Stage I, while the effect of hydrodynamic pressure was more obvious in Stage II. The addition of BF significantly decreased the concrete damage degree throughout testing. After 300 F-T cycles, the RDEM and fracture energy of the BFRC under coupling actions were 1.41 and 2.20 times those of the BC, respectively. Moreover, the addition of BF notably lowered the porosity and most probable pore diameter of the concrete under coupling actions and F-T cycles and thus greatly influenced the increase in pore fractal dimension. The RST indicated that the frost resistance of concrete was closely related to the mixture and stress level.