Positive study on the construction of consumption online platforms in colleges ＆ universities

Currently, online shopping has become an option in people＇s daily consumption, especially for large groups of college students. Based on the practical research of consumers groups of college students, this paper analyzes the affecting factors on consumers＇ satisfaction among groups of college students, and also tests the affecting factors. Thus, the authors give their proposals on how to build the consumer online platforms in colleges and universities, and the prospects forecast on the campus online market.

Research on Optimized Allocation of English Teaching Resources Based on Network Cloud Platform

The allocation of resources in English teaching can improve the ability of resource sharing, in order to optimize the allocation of resources, so as to improve the performance of English teaching, and promote the construction of English teaching resources database, a method of optimizing the allocation of English teaching resources is proposed based on network cloud platform. Text semantic key words conceptual decision tree model is constructed for massive English teaching resources allocation, semantic information conversion method is used to compute key semantic features of English Teaching resources, the concept convergence point of English Teaching resource allocation is formed in semantic model. According to the set between the upper and lower relationship, a decision tree model of English Teaching semantic subject words is constructed, semantic conversion and information extraction are realized. English teaching resources optimization allocation simulation is taken in the cloud platform, simulation results show that the scheduling performance of English teaching resources is better, and the adaptive allocation ability of English teaching resources is stronger, and the resource utilization rate is higher.

Study on the Application of Network Teaching Platform to the Teaching of Course Management Science -Xi＇an International University Is Taken for Example

In the teaching of course Management Science, how to effectively make use of network teaching platform is a very important reform. How will be the best effect achieved？ On the basis of the network teaching platform system available from Xi＇ an International University and also by combining with the teaching situation of course Management Science, the existing problems are analyzed and also the related suggestions are proposed, in order to achieve a better teaching effect.

Experimental Study of Primary School Students’Independent Reading Based on the Network Teaching Platform

The development of information technology, especially the rise of online teaching platforms, has changed the way people read and the methods they use. Under this influence, primary school students’ independent reading has also been changed. However, due to limited self-control and understanding, primary school students face certain difficulties when using online teaching platforms for independent reading. Advantages and disadvantages of distance learning based on the network teaching platform were summarized in this paper. A one-year experiment study was carried out on our school fifth-grade students in independent reading using WeChat campus platform considering their current situation and existing problems of independent reading. In experiment study an independent reading mode was introduced. The results show that this reading mode can significantly improve students’ independent reading ability.

Research on Digital and Analog Electronic Experiment Teaching Course Management based on UltraLab Network Experiment Platform

Digital circuit and analog circuit courses are basic courses for students of science and engineering universities. Among them,the practical courses are of great significance for students to master the knowledge of electronics. In order to make teachers teaching more efficiently and students studying more quickly,how to update the experimental course in teaching reform is the key point. This paper analyzing the present situation of teaching in the digital circuit and analog circuit courses,the teaching questions in universities. On the basis of it,the innovation measures of experimental teaching methods and contents are discussed. Our school tries to introduce the UltraLab network experiment platform,reform and optimize the teaching methods of related courses.And it’ s accelerating the construction and development of emerging engineering education’ s process,reducing effectively the teacher’s time for managing in equipment,improving the students’ ability to use instruments.

Deep Learning and Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications

The study delves into the expanding role of network platforms in our daily lives, encompassing various mediums like blogs, forums, online chats, and prominent social media platforms such as Facebook, Twitter, and Instagram. While these platforms offer avenues for self-expression and community support, they concurrently harbor negative impacts, fostering antisocial behaviors like phishing, impersonation, hate speech, cyberbullying, cyberstalking, cyberterrorism, fake news propagation, spamming, and fraud. Notably, individuals also leverage these platforms to connect with authorities and seek aid during disasters. The overarching objective of this research is to address the dual nature of network platforms by proposing innovative methodologies aimed at enhancing their positive aspects and mitigating their negative repercussions. To achieve this, the study introduces a weight learning method grounded in multi-linear attribute ranking. This approach serves to evaluate the significance of attribute combinations across all feature spaces. Additionally, a novel clustering method based on tensors is proposed to elevate the quality of clustering while effectively distinguishing selected features. The methodology incorporates a weighted average similarity matrix and optionally integrates weighted Euclidean distance, contributing to a more nuanced understanding of attribute importance. The analysis of the proposed methods yields significant findings. The weight learning method proves instrumental in discerning the importance of attribute combinations, shedding light on key aspects within feature spaces. Simultaneously, the clustering method based on tensors exhibits improved efficacy in enhancing clustering quality and feature distinction. This not only advances our understanding of attribute importance but also paves the way for more nuanced data analysis methodologies. In conclusion, this research underscores the pivotal role of network platforms in contemporary society, emphasizing their potential for both positive contributions and adverse consequences. The proposed methodologies offer novel approaches to address these dualities, providing a foundation for future research and practical applications. Ultimately, this study contributes to the ongoing discourse on optimizing the utility of network platforms while minimizing their negative impacts.

Self-Directed Creativity in Web 2.0-Based Online Communities： Research Model and Exploratory Study

Web 2.0-based online communities and social networking platforms in particular enable users to create their own content, share this content with anyone they invite and organize connections with existing or new online contacts. The underlying processes are self-directed and represent a valuable source for creativity and innovation---especially outside firms＇ boundaries. The basis for the authors＇ research in progress is a framework which focuses on the relations between intrinsic motivation, creativity and Web 2.0-based online communities or social networking platforms. First results of the authors＇ exploratory empirical investigation of a specific social networking platform suggest that the authors＇ two propositions are valid.

Digital Coal Mine Integrated Automation System Based on ControlNet

A three-layer model for digital communication in a mine is proposed. Two basic platforms are discussed: A uniform transmission network and a uniform data warehouse. An actual,ControlNet based,transmission network plat-form suitable for the Jining No.3 coal mine is presented. This network is an information superhighway intended to inte-grate all existing and new automation subsystems. Its standard interface can be used with future subsystems. The net-work,data structure and management decision-making all employ this uniform hardware and software. This effectively avoids the problems of system and information islands seen in traditional mine-automation systems. The construction of the network provides a stable foundation for digital communication in the Jining No.3 coal mine.

High-Speed EMU TCMS Design and LCC Technology Research

This paper introduces the high-speed electrical multiple unit （EMO） life cycle, including the design, manufacturing, testing, and maintenance stages. It also presents the train control and monitoring system （TCMS） software development platform, the TCMS testing and verification bench, the EMU driving simulation platform, and the EMU remote data transmittal and maintenance platform. All these platforms and benches combined together make up the EMU life cycle cost （LCC） system. Each platform facilitates EMU LCC management and is an important part of the system.

Ubiquitous Sensor Network for Chemical Sensors

Wireless sensor networks have been identified as one of the most important technologies for the 21 st century.Recent advances in micro sensor fabrication technology and wireless communication technology enable the practical deployment of large-scale,low-power,inexpensive sensor networks.Such an approach offers an advantage over traditional sensing methods in many ways:large-scale,dense deployment not only extends spatial coverage and achieves higher resolution,but also increases the system's fault-tolerance and robustness.Moreover,the ad-hoc nature of wireless sensor networks makes them even more attractive for military and other risk-associated applications,such as environmental observation and habitat monitoring.

On Constructing the Teaching Model of English Lexicology Based on Tasks and Network

The teaching model of English lexicology based on tasks and network starts by follow philosophy of intuitive thinking and using the task-based teaching method. It is characteristic mg of the educational five consecutive stages of students＇ presentation of PPT, the teacher＇s evaluation, the teacher＇s presentation, classroom interaction, and summary to enable students actively participate in class teaching and to guide them to construct RVL （the root-based vector lexicon）. The lexicon is constructed with the help of vector in the form of a diamond structure by utilizing the root ＂anthrop＂ functioning as a priming root and roots like ＂vest＂, ＂vor＂, ＂hab＂, ＂mov＂, and ＂somn＇ serving as target roots it motivates directly. The lexicon avails to accept new roots and make them mixed with existing roots by meaning relation or collocation to help students retrieve words effectively and enhance their ability of studying English vocabulary

Library Network Virtual Community Model Building

This paper analyzed and expounded on library network virtual community construction, building library website virtual community function model, revealing resource advantage, service advantage, competition advantage, and cultural brand advantage around the platform of network virtual community.

Library Network Virtual Community Model Building

. This paper analyzed and expounded on library network virtual community construction, building library website virtual community function model, revealing resource advantage, service advantage, competition advantage, and cultural brand advantage around the platform of network virtual community.

The research of traffic density extraction method under vehicular ad hoc network environment

Purpose–Traffic density is one of the most important parameters to consider in the traffic operationfield.Owing to limited data sources,traditional methods cannot extract traffic density directly.In the vehicular ad hoc network(VANET)environment,the vehicle-to-vehicle(V2V)and vehicle-to-infrastructure(V2I)interaction technologies create better conditions for collecting the whole time-space and refined traffic data,which provides a new approach to solving this problem.Design/methodology/approach–On that basis,a real-time traffic density extraction method has been proposed,including lane density,segment density and network density.Meanwhile,using SUMO and OMNet11 as traffic simulator and network simulator,respectively,the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed.Findings–Based on the simulation platform,a simulated intersection in Shanghai was developed to investigate the adaptability of the model.Originality/value–Most research studies use separate simulation methods,importing trace data obtained by using from the simulation software to the communication simulation software.In this paper,the tight coupling simulation method is applied.Using real-time data and history data,the research focuses on the establishment and validation of the traffic density extraction model.