Abstract Information and communication technology (ICT) makes cities “smart,” enabling more efficient and advanced municipal services for citizens. However, more research must be done on reference models and application examples specifically for municipal service platforms based on cloud-edge collaboration. Therefore, this paper first develops a reference model (e-government self-service system) that includes resource collaboration, application collaboration, service collaboration, and security collaboration and discusses the main... Information and communication technology (ICT) makes cities “smart,” enabling more efficient and advanced municipal services for citizens. However, more research must be done on reference models and application examples specifically for municipal service platforms based on cloud-edge collaboration. Therefore, this paper first develops a reference model (e-government self-service system) that includes resource collaboration, application collaboration, service collaboration, and security collaboration and discusses the main content and challenges of each part. Then, a dynamic resource allocation model based on game theory is introduced to address the issue of resource allocation in cloud-edge collaboration. Finally, a cloud-edge collaborative egovernment self-service system is designed and implemented. Read More Read Less

Abstract With the widespread application of neural networks and advanced network technology, smart phones with perfect functions have been recognized as necessities in daily life, learning, work, and leisure. However, in teaching for people’s daily exercise, the old traditional teaching mode is still used, which cannot achieve good teaching results. This article proposes a new intelligent learning model that utilizes artificial neural networks to... With the widespread application of neural networks and advanced network technology, smart phones with perfect functions have been recognized as necessities in daily life, learning, work, and leisure. However, in teaching for people’s daily exercise, the old traditional teaching mode is still used, which cannot achieve good teaching results. This article proposes a new intelligent learning model that utilizes artificial neural networks to process information. We also apply this model to build an actual training ground and calculate some effective training strategies here. Our research found that students’ skills, professionalism, and learning enthusiasm have significantly improved in the training ground using artificial intelligence. The effect of this model in training far exceeds the expectations of artificial intelligence. Read More Read Less

Abstract Smart toys are a specific application of modern intelligent technology. Using modern Internet technology to realize the educational function of toys is an important research direction of modern intelligent toys. To combine smart toys with Chinese cultural education and apply virtual experience and interaction design to the teaching process, the virtual experience and interaction design of cultural education in intelligent toy products is... Smart toys are a specific application of modern intelligent technology. Using modern Internet technology to realize the educational function of toys is an important research direction of modern intelligent toys. To combine smart toys with Chinese cultural education and apply virtual experience and interaction design to the teaching process, the virtual experience and interaction design of cultural education in intelligent toy products is studied under the Internet of Things (IoT) architecture. Two interactive genetic algorithm application models are established based on composite fitness allocation strategy (HFAS) and hierarchical fitness allocation strategy. The parameter settings of the composite fitness allocation strategy are analyzed, and the optimal allocation strategy for hybrid fitness is selected. The scheme and the design of intelligent toy products explore the intelligent vehicle design artificial intelligence case applied by the interactive genetic algorithm in the cultural education of intelligent toy products. It can be seen from the algorithm test in the text that for the designer of the smart bowl fern. Through the evolutionary iteration of the feature line, each generation of offspring population can produce five individuals while having less impact on the next generation, can make better individuals, and the design results can better meet customer needs. Read More Read Less

Abstract Education in universities often takes on the responsibility of moral education, which is crucial for college students’ ideals, beliefs, spiritual pursuits, and political literacy. This paper analyzes the learning motivation of different student groups based on the Gaussian Mixture Model (GMM). It compares the participation characteristics of different learning motivation clusters, the differences in the performance of courses among students with different learning motivations,... Education in universities often takes on the responsibility of moral education, which is crucial for college students’ ideals, beliefs, spiritual pursuits, and political literacy. This paper analyzes the learning motivation of different student groups based on the Gaussian Mixture Model (GMM). It compares the participation characteristics of different learning motivation clusters, the differences in the performance of courses among students with different learning motivations, and the potential connections between learning motivation and learners’ educational levels. In conclusion, applying the Gaussian Mixture Model in courses can help teachers better understand students’ learning situations and needs, grasp the characteristics and patterns of the curriculum, assess teaching effects and issues, and thereby improve the quality and learning outcomes. Read More Read Less