This study addresses the fault diagnosis technology of CNC electromechanical systems in mechanical engineering equipment manufacturing, and explores the fault detection methods under the influence of structural coupling to improve the accuracy and efficiency of fault diagnosis. The study first analyzes the time-domain and frequency-domain features for fault diagnosis, including quantitative and dimensionless features used to identify different types of faults. Subsequently, the study explores feature dimensionality reduction methods, including algorithms such as PCA, LLE and t-SNE, and compares the effectiveness of their application in fault diagnosis. The research focuses on proposing a lightweight deep learning fault diagnosis framework called LTCN-BLS, which combines 2-DLTCN and 1-DLTCN branches, and an ILAEN-based BLS classifier to effectively extract and fuse time-domain and time-frequency-domain features of the data. The experimental results show that the LTCN-BLS framework has high accuracy and low network complexity in fault diagnosis, and has obvious advantages in early fault monitoring, degradation assessment, and robustness compared with traditional methods.
{"title":"Fault diagnosis technology of CNC electromechanical system in mechanical engineering equipment manufacturing under structural coupling","authors":"Xueqing Bai","doi":"10.2478/amns-2024-0688","DOIUrl":"https://doi.org/10.2478/amns-2024-0688","url":null,"abstract":"\u0000 This study addresses the fault diagnosis technology of CNC electromechanical systems in mechanical engineering equipment manufacturing, and explores the fault detection methods under the influence of structural coupling to improve the accuracy and efficiency of fault diagnosis. The study first analyzes the time-domain and frequency-domain features for fault diagnosis, including quantitative and dimensionless features used to identify different types of faults. Subsequently, the study explores feature dimensionality reduction methods, including algorithms such as PCA, LLE and t-SNE, and compares the effectiveness of their application in fault diagnosis. The research focuses on proposing a lightweight deep learning fault diagnosis framework called LTCN-BLS, which combines 2-DLTCN and 1-DLTCN branches, and an ILAEN-based BLS classifier to effectively extract and fuse time-domain and time-frequency-domain features of the data. The experimental results show that the LTCN-BLS framework has high accuracy and low network complexity in fault diagnosis, and has obvious advantages in early fault monitoring, degradation assessment, and robustness compared with traditional methods.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The combination of Internet technology and education will continue to promote the change of the traditional education model, and will inevitably have a far-reaching impact on the reform of the education field. The wisdom classroom vector model is used to establish a secondary school classroom for ideological and political wisdom in this paper. In the smart classroom, students can recognize facial expressions by using GAN and tripartite consistency loss function. The ANM-CFM action recognition model is formed by the combination of the adaptive normalization module and covariance matrix fusion. For the effectiveness of the intelligent classroom of secondary school ideology and politics proposed in this paper with the related classroom behavior intelligent recognition method, the validation is carried out using example data. The results show that the first 200 frames in the smart classroom are dominated by the teacher’s lecture, and the students’ hand-raising interaction moments are mainly distributed between 200 and 400 frames. At the end of the teaching experiment, the classroom engagement level of the students in the experimental class was 9.037±0.532 points, the thinking level score of the experimental class exceeded 0.5 points compared with that of the control class, and the student’s satisfaction scores for the learning environment of the smart classroom were all over 2.4 points. The adoption of smart classrooms in the background of the Internet can realize the innovative reform of secondary school ideological and political classroom teaching and provide a new guarantee for improving the level of students’ thinking literacy.
互联网技术与教育的结合，将不断推动传统教育模式的变革，势必对教育领域的改革产生深远影响。本文采用智慧课堂矢量模型建立中学思想政治智慧课堂。在智慧课堂中，学生可以利用 GAN 和三方一致性损失函数识别面部表情。自适应归一化模块与协方差矩阵融合相结合，形成 ANM-CFM 动作识别模型。为检验本文提出的中学思想政治智慧课堂与相关课堂行为智能识别方法的有效性，利用实例数据进行了验证。结果表明，智慧课堂前200帧以教师讲课为主，学生举手互动时刻主要分布在200-400帧之间。教学实验结束时，实验班学生的课堂参与度为（9.037±0.532）分，实验班学生的思维水平得分比对照班超出0.5分，学生对智慧教室学习环境的满意度得分均超过2.4分。互联网背景下智慧课堂的采用，可以实现中学思想政治课堂教学的创新改革，为提高学生的思维素养水平提供新的保障。
{"title":"Exploring the Teaching Reform of Middle School Ideological and Political Classroom Based on the Background of Internet","authors":"Gang Deng, Qian Chen","doi":"10.2478/amns-2024-0154","DOIUrl":"https://doi.org/10.2478/amns-2024-0154","url":null,"abstract":"\u0000 The combination of Internet technology and education will continue to promote the change of the traditional education model, and will inevitably have a far-reaching impact on the reform of the education field. The wisdom classroom vector model is used to establish a secondary school classroom for ideological and political wisdom in this paper. In the smart classroom, students can recognize facial expressions by using GAN and tripartite consistency loss function. The ANM-CFM action recognition model is formed by the combination of the adaptive normalization module and covariance matrix fusion. For the effectiveness of the intelligent classroom of secondary school ideology and politics proposed in this paper with the related classroom behavior intelligent recognition method, the validation is carried out using example data. The results show that the first 200 frames in the smart classroom are dominated by the teacher’s lecture, and the students’ hand-raising interaction moments are mainly distributed between 200 and 400 frames. At the end of the teaching experiment, the classroom engagement level of the students in the experimental class was 9.037±0.532 points, the thinking level score of the experimental class exceeded 0.5 points compared with that of the control class, and the student’s satisfaction scores for the learning environment of the smart classroom were all over 2.4 points. The adoption of smart classrooms in the background of the Internet can realize the innovative reform of secondary school ideological and political classroom teaching and provide a new guarantee for improving the level of students’ thinking literacy.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the context of the information age, this article discusses the digital transformation of the management of ideological education in colleges and universities. Based on the humanistic theory and “Internet + education” mode, the article constructs a set of digital transformation paths for Civic and Political Education Management, and establishes a corresponding evaluation system. The research combines the hierarchical analysis and entropy weight methods to assign weights to the evaluation indexes. It uses the gray correlation method and TOPSIS method to calculate the indexes’ positive and negative ideal solution distances to solve the transformation effect score. Applying this path to the case studies of five colleges and universities (A to E) shows that college C has the most significant positive and negative ideal solution distance (0.01016) in developing teachers’ ideological and political competence. In contrast, college B has the smallest positive and negative ideal solution distance (0.00232) in the management system setup. In the assessment of the five universities, the highest score was found in the development of teachers’ civic and political competence (average 0.87017 points). In contrast, the lowest score was found in developing students’ civic and political literacy (average 0.28286 points). The research in this paper provides a practical path and empirical support for the digital transformation of Civic and Political Education Management in colleges and universities, which is of great significance in promoting the modernization of Civic and Political Education in colleges and universities.
{"title":"Exploration of Digital Transformation Path of Civic Education Management in Colleges and Universities in the Information Age","authors":"Yue Zhang","doi":"10.2478/amns-2024-0348","DOIUrl":"https://doi.org/10.2478/amns-2024-0348","url":null,"abstract":"\u0000 In the context of the information age, this article discusses the digital transformation of the management of ideological education in colleges and universities. Based on the humanistic theory and “Internet + education” mode, the article constructs a set of digital transformation paths for Civic and Political Education Management, and establishes a corresponding evaluation system. The research combines the hierarchical analysis and entropy weight methods to assign weights to the evaluation indexes. It uses the gray correlation method and TOPSIS method to calculate the indexes’ positive and negative ideal solution distances to solve the transformation effect score. Applying this path to the case studies of five colleges and universities (A to E) shows that college C has the most significant positive and negative ideal solution distance (0.01016) in developing teachers’ ideological and political competence. In contrast, college B has the smallest positive and negative ideal solution distance (0.00232) in the management system setup. In the assessment of the five universities, the highest score was found in the development of teachers’ civic and political competence (average 0.87017 points). In contrast, the lowest score was found in developing students’ civic and political literacy (average 0.28286 points). The research in this paper provides a practical path and empirical support for the digital transformation of Civic and Political Education Management in colleges and universities, which is of great significance in promoting the modernization of Civic and Political Education in colleges and universities.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive psychology can help better understand human thinking and behavior, and its application in design can increase the infectious force of design. In this paper, because the brain will generate ERP signals when cognitive stimuli stimulate it, the group sparse decomposition method obtains ERP from EEG signals, and uses the BAP of brain regions to construct the interaction activity pattern of brain regions, and then combines with the interaction genetic algorithm to search for the optimal solution for the data in graphic design by using hierarchical degradation method for processing. The EEG data and interaction behavior characteristics of users were explored through chromatic stimulus response experiments and interaction behavior analysis. It was found that the accuracy of users’ responses to orange, green and purple were all higher than 60%, and P400 in EEG responded to the stimuli most significantly, with P-values of 0.0291, 0.0462, and 0.0355 at P5, P6, and Pz, respectively, with significant effects. The average number of interactions of 46 users in the graphic design enjoyment was 31.47, with the highest success rate of interaction reaching 99.81%, and the average duration of interaction experience for all subjects was 10.26 minutes. Graphic design based on cognitive psychology can capture people’s inner emotions and make better design solutions.
{"title":"Exploring Graphic Design and its Interactivity in the Context of Cognitive Psychology","authors":"Xiaojun Jia, Yi Mao","doi":"10.2478/amns-2024-0366","DOIUrl":"https://doi.org/10.2478/amns-2024-0366","url":null,"abstract":"\u0000 Cognitive psychology can help better understand human thinking and behavior, and its application in design can increase the infectious force of design. In this paper, because the brain will generate ERP signals when cognitive stimuli stimulate it, the group sparse decomposition method obtains ERP from EEG signals, and uses the BAP of brain regions to construct the interaction activity pattern of brain regions, and then combines with the interaction genetic algorithm to search for the optimal solution for the data in graphic design by using hierarchical degradation method for processing. The EEG data and interaction behavior characteristics of users were explored through chromatic stimulus response experiments and interaction behavior analysis. It was found that the accuracy of users’ responses to orange, green and purple were all higher than 60%, and P400 in EEG responded to the stimuli most significantly, with P-values of 0.0291, 0.0462, and 0.0355 at P5, P6, and Pz, respectively, with significant effects. The average number of interactions of 46 users in the graphic design enjoyment was 31.47, with the highest success rate of interaction reaching 99.81%, and the average duration of interaction experience for all subjects was 10.26 minutes. Graphic design based on cognitive psychology can capture people’s inner emotions and make better design solutions.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As one of the essential mediums of global cultural communication, American films, especially those involving women’s themes, have played a key role in shaping and transmitting women’s images and ethical concepts. The diversity of women’s roles and deep-seated emotions in contemporary American films with women’s themes is reflected in changes in society’s understanding of women’s status and rights. This paper aims to examine the impact of ethical views presented in contemporary American female-themed films on society and the audience. By collecting and analyzing popular American female-themed films in recent years, it explores ethical issues and the portrayal of women in the movie. Of the 100 films studied, more than 60% present a strong ethical tendency towards female self-identification and autonomous choice, with 40% showing a clear tendency towards gender equality and anti-discrimination. We find that the images of resilience and independence shown by female characters in movies in the face of difficulties and challenges have positively impacted the values and behavioral patterns of predominantly female audiences. Contemporary American women’s films not only reflect the current social concern and exploration of women’s issues, but also promote the public’s awareness of gender equality and women’s rights through the portrayal of diversified and profound women’s images, and provide an essential perspective for the promotion of social progress and the development of cultural pluralism.
{"title":"A Study of the Ethics of Contemporary American Women’s Cinema","authors":"Weihua Gao","doi":"10.2478/amns-2024-0832","DOIUrl":"https://doi.org/10.2478/amns-2024-0832","url":null,"abstract":"\u0000 As one of the essential mediums of global cultural communication, American films, especially those involving women’s themes, have played a key role in shaping and transmitting women’s images and ethical concepts. The diversity of women’s roles and deep-seated emotions in contemporary American films with women’s themes is reflected in changes in society’s understanding of women’s status and rights. This paper aims to examine the impact of ethical views presented in contemporary American female-themed films on society and the audience. By collecting and analyzing popular American female-themed films in recent years, it explores ethical issues and the portrayal of women in the movie. Of the 100 films studied, more than 60% present a strong ethical tendency towards female self-identification and autonomous choice, with 40% showing a clear tendency towards gender equality and anti-discrimination. We find that the images of resilience and independence shown by female characters in movies in the face of difficulties and challenges have positively impacted the values and behavioral patterns of predominantly female audiences. Contemporary American women’s films not only reflect the current social concern and exploration of women’s issues, but also promote the public’s awareness of gender equality and women’s rights through the portrayal of diversified and profound women’s images, and provide an essential perspective for the promotion of social progress and the development of cultural pluralism.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain the graphical elements of the cultural and creative product, import the determined graphical elements of the cultural and creative product of the inference object into Illustrator, use the pen tool to outline the morphological curves of the ornaments into paths, and at the same time organize the outlined morphological curves into the gallery. Aiming at the problem that it is difficult to obtain the optimal cultural and creative product design works in the cultural and creative product design based on shape grammar and using genetic algorithm to optimize the cultural and creative product design model. The optimization model of cultural and creative product design is empirically analyzed using simulation analysis based on research data and parameter settings. The results show that the scaling values (tx d 1, tx d 2) of the first layer in the optimal design parameters of the cultural and creative products are approximated to be the maximum value, and the optimal solutions in the samples are (3.61, 0.437) and (3.61, 0.268), respectively, which confirms that the optimization model of the cultural and creative product design can provide theoretical knowledge and reference value for the research of the cultural and creative product design.
本文利用形状语法中的推理规则和推理规则提取文创产品设计元素，得到文创产品的图形元素，将推理对象确定的文创产品图形元素导入Illustrator中，用钢笔工具将装饰物的形态曲线勾勒成路径，同时将勾勒出的形态曲线整理成图库。针对基于形态语法的文化创意产品设计中难以获得最优文化创意产品设计作品的问题，利用遗传算法对文化创意产品设计模型进行优化。根据研究数据和参数设置，采用仿真分析方法对文化创意产品设计优化模型进行了实证分析。结果表明，文创产品优化设计参数中第一层的缩放值（tx d 1，tx d 2）近似为最大值，样本中的最优解分别为（3.61，0.437）和（3.61，0.268），证实了文创产品设计优化模型可以为文创产品设计研究提供理论知识和参考价值。
{"title":"Exploration of Cultural and Creative Product Design Thinking in the Age of Artificial Intelligence","authors":"Shanlin Zhang","doi":"10.2478/amns-2024-0155","DOIUrl":"https://doi.org/10.2478/amns-2024-0155","url":null,"abstract":"\u0000 In this paper, we use the inference rules and reasoning rules in the shape grammar to extract the elements of the cultural and creative product design, obtain the graphical elements of the cultural and creative product, import the determined graphical elements of the cultural and creative product of the inference object into Illustrator, use the pen tool to outline the morphological curves of the ornaments into paths, and at the same time organize the outlined morphological curves into the gallery. Aiming at the problem that it is difficult to obtain the optimal cultural and creative product design works in the cultural and creative product design based on shape grammar and using genetic algorithm to optimize the cultural and creative product design model. The optimization model of cultural and creative product design is empirically analyzed using simulation analysis based on research data and parameter settings. The results show that the scaling values (tx\u0000 \u0000 d\u0000 \u0000 1, tx\u0000 \u0000 d\u0000 \u0000 2) of the first layer in the optimal design parameters of the cultural and creative products are approximated to be the maximum value, and the optimal solutions in the samples are (3.61, 0.437) and (3.61, 0.268), respectively, which confirms that the optimization model of the cultural and creative product design can provide theoretical knowledge and reference value for the research of the cultural and creative product design.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes a performance optimization strategy for Spark-based machine learning algorithms in Shuffle and memory data management modules. The Shuffle module is optimized by introducing Observer monitoring module in Spark cluster to achieve task status monitoring and dynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism for RDD data addresses the lack of in-memory data caching. The performance-optimized algorithm performs well in the experiments, with a clustering accuracy of 89% and a response time that is 5% faster than the Random Forest algorithm. In road network traffic state discrimination, the optimized algorithm’s classification decision F-measure value is as high as 99.53%, which is 5.32% higher than that before unoptimization, and the running time is 767 seconds less than that of the unoptimized algorithm when dealing with about 6,880,000 pieces of data, which significantly improves the efficiency and accuracy.
{"title":"Performance Optimization of Machine Learning Algorithms Based on Spark","authors":"Weikang Luo, Shenglin Zhang, Yinggen Xu","doi":"10.2478/amns-2024-0416","DOIUrl":"https://doi.org/10.2478/amns-2024-0416","url":null,"abstract":"\u0000 This paper proposes a performance optimization strategy for Spark-based machine learning algorithms in Shuffle and memory data management modules. The Shuffle module is optimized by introducing Observer monitoring module in Spark cluster to achieve task status monitoring and dynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism for RDD data addresses the lack of in-memory data caching. The performance-optimized algorithm performs well in the experiments, with a clustering accuracy of 89% and a response time that is 5% faster than the Random Forest algorithm. In road network traffic state discrimination, the optimized algorithm’s classification decision F-measure value is as high as 99.53%, which is 5.32% higher than that before unoptimization, and the running time is 767 seconds less than that of the unoptimized algorithm when dealing with about 6,880,000 pieces of data, which significantly improves the efficiency and accuracy.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140522424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emergency response capability of cruise ports to public emergencies is related to the development of various industries and plays an important role in economic construction and social development. An evaluation system for cruise port’s emergency management and risk warning ability is established based on the 4R crisis management model and enterprise risk warning model in this paper. The subjective weights calculated by the G1 method and the objective weights solved by the COWA operator are combined by the linear weighting method in order to realize the accuracy and objectivity of the index weights. Then the object element topable model is introduced to comprehensively evaluate the emergency management and risk warning capability of cruise ports, and S International Cruise Port is used as an example to verify the validity. The results show that the weight value of emergency response capability in the emergency management capability is 0.3552, and the weight of equipment and facility performance in the risk warning capability reaches 0.3548, and the emergency management and risk management capabilities of the cruise port are significantly correlated at the 10% level. The comprehensive evaluation of the emergency management and risk warning capability of cruise ports can be realized by using the object element topable model, which can provide a guarantee for the improvement of the emergency management capability of cruise ports in public emergencies.
{"title":"Research on Emergency Management of Public Emergencies in Cruise Ports under the Strategy of Free Trade Port in the Context of Informatisation","authors":"Danying Song","doi":"10.2478/amns-2024-0055","DOIUrl":"https://doi.org/10.2478/amns-2024-0055","url":null,"abstract":"\u0000 The emergency response capability of cruise ports to public emergencies is related to the development of various industries and plays an important role in economic construction and social development. An evaluation system for cruise port’s emergency management and risk warning ability is established based on the 4R crisis management model and enterprise risk warning model in this paper. The subjective weights calculated by the G1 method and the objective weights solved by the COWA operator are combined by the linear weighting method in order to realize the accuracy and objectivity of the index weights. Then the object element topable model is introduced to comprehensively evaluate the emergency management and risk warning capability of cruise ports, and S International Cruise Port is used as an example to verify the validity. The results show that the weight value of emergency response capability in the emergency management capability is 0.3552, and the weight of equipment and facility performance in the risk warning capability reaches 0.3548, and the emergency management and risk management capabilities of the cruise port are significantly correlated at the 10% level. The comprehensive evaluation of the emergency management and risk warning capability of cruise ports can be realized by using the object element topable model, which can provide a guarantee for the improvement of the emergency management capability of cruise ports in public emergencies.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Exploring the economic management models of international trade enterprises, this research highlights the significant role of informatization strategies informed by game theory. Through the prism of game theory, we analyze the interplay among various stakeholders, including risk takers, managers, and executors. Our study reveals that appropriate risk-taking can drastically lower operational risks. A case in point is Company A, which witnessed a notable improvement in financial stability, with its Z-score rising from 2.6785 in 2005 to 4.6314 in 2022. As theAnalysis shows, effective risk management plays a pivotal role in boosting economic efficiency, evident through enhanced total asset turnover and gross operating margins. This study underscores the utility of a game theory-based economic management model in improving risk management and financial efficiency, thereby advancing the implementation and refinement of informatization strategies within enterprises.
{"title":"Strategic Analysis of Informatization of International Trade Enterprises’ Economic Management Models Based on Game Theory Models","authors":"Xinran Yang","doi":"10.2478/amns-2024-0783","DOIUrl":"https://doi.org/10.2478/amns-2024-0783","url":null,"abstract":"\u0000 Exploring the economic management models of international trade enterprises, this research highlights the significant role of informatization strategies informed by game theory. Through the prism of game theory, we analyze the interplay among various stakeholders, including risk takers, managers, and executors. Our study reveals that appropriate risk-taking can drastically lower operational risks. A case in point is Company A, which witnessed a notable improvement in financial stability, with its Z-score rising from 2.6785 in 2005 to 4.6314 in 2022. As theAnalysis shows, effective risk management plays a pivotal role in boosting economic efficiency, evident through enhanced total asset turnover and gross operating margins. This study underscores the utility of a game theory-based economic management model in improving risk management and financial efficiency, thereby advancing the implementation and refinement of informatization strategies within enterprises.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
International students are a bridge between Chinese and foreign cultures, but they still face multiple dilemmas in Chinese cultural communication due to different cultural backgrounds and values. In this paper, we utilize the subsumption sorting algorithm to sort the amount of cultural communication of international students’ exchanges, which is dynamically switched by a combination of two methods: back-block forward interpolation and header exchange. The D-S monopolistic competition model is used to construct the theoretical model of international student exchange that affects China’s international cultural communication power. The CES utility function is used to construct China’s international cultural communication network, which calculates the total amount of communication culture of cross-cultural exchanges between international students. In the end, an analysis of 85 international student samples revealed a correlation between international student exchanges and China’s international cultural communication. The results show that the correlation coefficient between international student exchanges and China’s international cultural communication is 0.305 p > 0.05, indicating that international student exchanges have a positive promotion effect on China’s international cultural communication. This study examines the general law of international cultural communication, which is crucial in promoting Chinese culture worldwide.
留学生是中外文化交流的桥梁，但由于文化背景和价值观的不同，他们在中国文化交流中仍面临多重困境。本文利用归并排序算法对留学生交流的文化传播量进行排序，结合后置块前插和标题交换两种方法对留学生交流的文化传播量进行动态切换。采用 D-S 垄断竞争模型构建影响中国国际文化传播力的留学生交流理论模型。利用 CES 效用函数构建中国国际文化传播网络，计算留学生跨文化交流的传播文化总量。最后，通过对 85 个留学生样本的分析，揭示了留学生交流与中国国际文化传播之间的相关性。结果表明，留学生交流与中国国际文化传播的相关系数为 0.305 p > 0.05，说明留学生交流对中国国际文化传播具有积极的促进作用。本研究探讨了国际文化传播的一般规律，这对于在世界范围内推广中国文化至关重要。
{"title":"Correlation Analysis of International Student Exchange and the Enhancement of China’s International Cultural Communication Power Based on the Subsumption Sorting Algorithm","authors":"Yunzi Li, Zheng Shi","doi":"10.2478/amns-2024-0073","DOIUrl":"https://doi.org/10.2478/amns-2024-0073","url":null,"abstract":"\u0000 International students are a bridge between Chinese and foreign cultures, but they still face multiple dilemmas in Chinese cultural communication due to different cultural backgrounds and values. In this paper, we utilize the subsumption sorting algorithm to sort the amount of cultural communication of international students’ exchanges, which is dynamically switched by a combination of two methods: back-block forward interpolation and header exchange. The D-S monopolistic competition model is used to construct the theoretical model of international student exchange that affects China’s international cultural communication power. The CES utility function is used to construct China’s international cultural communication network, which calculates the total amount of communication culture of cross-cultural exchanges between international students. In the end, an analysis of 85 international student samples revealed a correlation between international student exchanges and China’s international cultural communication. The results show that the correlation coefficient between international student exchanges and China’s international cultural communication is 0.305 p > 0.05, indicating that international student exchanges have a positive promotion effect on China’s international cultural communication. This study examines the general law of international cultural communication, which is crucial in promoting Chinese culture worldwide.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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