Big Data Application Simulation Platform Design for Onboard Distributed Processing of LEO Mega-Constellation Networks

Due to the restricted satellite payloads in LEO mega-constellation networks(LMCNs),remote sensing image analysis,online learning and other big data services desirably need onboard distributed processing(OBDP).In existing technologies,the efficiency of big data applications(BDAs)in distributed systems hinges on the stable-state and low-latency links between worker nodes.However,LMCNs with high-dynamic nodes and long-distance links can not provide the above conditions,which makes the performance of OBDP hard to be intuitively measured.To bridge this gap,a multidimensional simulation platform is indispensable that can simulate the network environment of LMCNs and put BDAs in it for performance testing.Using STK's APIs and parallel computing framework,we achieve real-time simulation for thousands of satellite nodes,which are mapped as application nodes through software defined network(SDN)and container technologies.We elaborate the architecture and mechanism of the simulation platform,and take the Starlink and Hadoop as realistic examples for simulations.The results indicate that LMCNs have dynamic end-to-end latency which fluctuates periodically with the constellation movement.Compared to ground data center networks(GDCNs),LMCNs deteriorate the computing and storage job throughput,which can be alleviated by the utilization of erasure codes and data flow scheduling of worker nodes.

The Influence of Social Media on College Choice among Undergraduates Majoring in Big Data Management and Application in China:Taking Guilin University of Electronic Technology as an Example

This study aims to investigate the influence of social media on college choice among undergraduates majoring in Big Data Management and Application in China.The study attempts to reveal how information on social media platforms such as Weibo,WeChat,and Zhihu influences the cognition and choice process of prospective students.By employing an online quantitative survey questionnaire,data were collected from the 2022 and 2023 classes of new students majoring in Big Data Management and Application at Guilin University of Electronic Technology.The aim was to evaluate the role of social media in their college choice process and understand the features and information that most attract prospective students.Social media has become a key factor influencing the college choice decision-making of undergraduates majoring in Big Data Management and Application in China.Students tend to obtain school information through social media platforms and use this information as an important reference in their decision-making process.Higher education institutions should strengthen their social media information dissemination,providing accurate,timely,and attractive information.It is also necessary to ensure effective management of social media platforms,maintain a positive reputation for the school on social media,and increase the interest and trust of prospective students.Simultaneously,educational decision-makers should consider incorporating social media analysis into their recruitment strategies to better attract new student enrollment.This study provides a new perspective for understanding higher education choice behavior in the digital age,particularly by revealing the importance of social media in the educational decision-making process.This has important practical and theoretical implications for higher education institutions,policymakers,and social media platform operators.

Exploration and Practice of Big Data Introductory Courses for Big Data Management and Application Majors

As an introductory course for the emerging major of big data management and application,“Introduction to Big Data”has not yet formed a curriculum standard and implementation plan that is widely accepted and used by everyone.To this end,we discuss some of our explorations and attempts in the construction and teaching process of big data courses for the major of big data management and application from the perspective of course planning,course implementation,and course summary.After interviews with students and feedback from questionnaires,students are highly satisfied with some of the teaching measures and programs currently adopted.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.

Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.

From Big Data to Intelligent Tutoring: Exploring the Application of Big Data Technology in the Ideological and Political Education for College Counselors

This paper explores the application of big data technology in ideological and political education for college counselors.Big data-driven personalized counseling for students,social network analysis,and public opinion monitoring can optimize the efficiency of counselor work.However,there are still challenges concerning data privacy protection,technical support,and training.By scientifically evaluating and addressing these challenges,big data technology is expected to enhance the effectiveness of college counselors and improve the quality of ideological and political education.In the future,with technological advancements,big data technology will become an essential tool for higher education management.

Opportunities and Challenges of College Mental Health Education from the Perspective of Big Data

This paper explores the opportunities and challenges of college mental health education from the perspective of big data.Firstly,through literature review,the importance of mental health education and the current issues are elucidated.Then,from the perspective of big data,the potential opportunities of big data in college mental health education are analyzed,including data-driven personalized education,real-time monitoring and warning systems,and interdisciplinary research and collaboration.At the same time,the challenges faced by college mental health education under the perspective of big data are also pointed out,such as data privacy and security issues,insufficient data analysis and interpretation capabilities,and inadequate technical facilities and talent support.Lastly,the research content of this paper is summarized,and directions and suggestions for future research are proposed.

Research on the Path of Higher Education Teaching Reform from the Perspective of Big Data

The advent of the digital age has pointed out the direction for the development of higher education.In this paper,the undergraduate course“Science of Interrogation”is taken as the research subject,the challenges of big data teaching reform in universities are analyzed systematically,and concrete measures,such as adhering to the concept of teaching reform under the condition of big data,establishing professional teaching teams,improving the curriculum construction level,emphasizing on being student-centered,and optimizing the reform of the curriculum evaluation system,are proposed to address these challenges.

Application status and development of big data in medical education in China

With the development of information technology, big data has been widely used in medical education in China. Through the analysis of the definition, characteristics and development process of big data, summarized the transformation of domestic big data medical education mode compared with the traditional medical education mode in the teaching mode reform, research method innovation, teaching courses optimization, teaching key extension and the teaching quality monitoring. Based on this, this paper expounds the impact and challenge of big data on medical education, and makes an outlook on its development prospect, indicating that the future development of big data will be open, popular and trending. At the same time, some suggestions on further optimization direction of China's big data medical education are put forward.

An Exploration into the Application Value of Critical Thinking in Higher Education from the Perspective of Big Data

Starting from the characteristics of big data,the cognition and thinking of contemporary college students have shown new features.Therefore,it is necessary to use the technical means of big data to formulate thinking under big data,combined with critical thinking.By doing so,students can finally nurture a correct attitude and better morality and even complete the fundamental task of higher education.

Research on the Application of Big Data Technology in the Integration of Enterprise Business and Finance

With the advent of the era of big data,traditional financial management has been unable to meet the needs of modern enterprise business.Enterprises hope that financial management has the function of improving the accuracy of corporate financial data,assisting corporate management to make decisions that are more in line with the actual development of the company,and optimizing corporate management systems,thereby comprehensively improving the overall level of the company and ensuring that the company can be in business with the assistance of financial integration,can better improve and develop themselves.Based on the investigation of enterprises and universities,this article analyzes the problem of accounting talent training from both the demand and supply ends,and puts forward some suggestions for the teaching reform of accounting integration with big data in financial colleges and universities,and strives to promote the integration of business and finance.The optimal allocation of enterprise resources will gradually enhance the market competitiveness of enterprises,and explore the application strategies of big data technology in the integration of enterprise business and finance.

Improving Performance of Cloud Computing and Big Data Technologies and Applications

Cloud computing technology is changing the development and usage patterns of IT infrastructure and applications. Virtualized and distributed systems as well as unified management and scheduling has greatly im proved computing and storage. Management has become easier, andOAM costs have been significantly reduced. Cloud desktop technology is develop ing rapidly. With this technology, users can flexibly and dynamically use virtual ma chine resources, companies＇ efficiency of using and allocating resources is greatly improved, and information security is ensured. In most existing virtual cloud desk top solutions, computing and storage are bound together, and data is stored as im age files. This limits the flexibility and expandability of systems and is insufficient for meetinz customers＇ requirements in different scenarios.

Research on the Development of Daur Ethnic Education under the Influence of Big Data

In this paper, we conduct research on the development of Daur ethnic education under the influence of big data. Life in the river valley of Daur ethnic which is a nationality has a long history, splendid culture and the national spirit of national self-confidence, the foundation of national culture has a strong self-confidence. Combining the concept of big data and data analysis technique to the Daur ethnic education will largely enhance the result of the current education pattern. The survey of the research indicated that we should pay attention to the precious data captured.

On Application of Big Data Mining in Earthquake Precursor Observation

Research and application of big data mining,at present,is a hot issue. This paper briefly introduces the basic ideas of big data research, analyses the necessity of big data application in earthquake precursor observation,and probes certain issues and solutions when applying this technology to work in the seismic-related domain. By doing so,we hope it can promote the innovative use of big data in earthquake precursor observation data analysis.

Research on Innovation of Ideological and Political Education Method in Colleges and Universities in Big Data Era

The era of big data has brought about tremendous changes in people's daily life, work and thinking patterns. The ideological and political education of colleges and universities has also faced opportunities and challenges. To this end, college ideological and political education workers must strengthen data awareness, innovate data dissemination methods, and transform research paradigms to meet the requirements of the development of the times. This requires universities to continue to innovate, advance with the times, and strive to use innovative methods to promote ideological and political work. Guided by Marxist theory and combined with relevant knowledge of pedagogy and educational psychology, this paper comprehensively and profoundly explores the impact of big data on people's life style, thinking mode and education. On this basis, the current situation and new ways of Ideological and political education in Colleges and universities in the era of big data are discussed in depth, with a view to providing effective reference for the industry.

Research on the Innovation of Personalized Education in Colleges and Universities under the Context of Big Data

The advent of the big data era has opened up unprecedented quantifiable dimensions for all walks of life,while also presented many opportunities and challenges.The widespread application of big data in the field of education will inevitably promote the innovation and transformation of the higher education in colleges and universities which introduce new opportunities and challenges to personalized education in colleges and universities.How to promote the indepth integration of big data and higher education to meet the needs of students’personalized development is one of the hot topics in the theoretical field today.In view of this,this article starts with explaining the connotation of personalized education in colleges and universities,analyzes the opportunities and challenges faced by personalized education in colleges and universities under the context of big data,and proposes the ideas of innovating personalized education in colleges and universities under the context of big data.

Research on the Applications of Big Data on Artistic Designing and Its Infl uences on the Design Behavior

In this paper, we conduct research on the applications of big data on artistic designing and its infl uences on the design behavior. Modern art design enhance the grade of the product, increase the added value of products, promote the development of the economy, make the product of the aesthetic value and economic value of the perfect unity. In today’s society due to the value of the product are much more than the product itself contains the value of performance, usage, etc. is more of a product in gradually improve the aesthetic value, sometimes even more than the use of the product value and exchange value, therefore the product has become the dominant value. Under this basis, we propose the new idea on the design pattern that will be meaningful.

Research on the Application of Big Data in Logistics Management

With the high-speed development of China’s information technology,human society has ushered in the age of big data,imposing challenges to many logistics companies.With the continuous changes in the development environment,it requires relevant logistics companies to make reasonable self-adjustment to ensure their adaptability to the development environment.At present,many Chinese logistics companies with relatively lagged management model fail to effectively employ big data analysis technique,and have some shortcomings in talent team construction.Therefore,relevant logistics companies need to reasonably use big data technology,improve the quality of logistics management work,and effectively screen valuable part from mass information,thereby promoting rapid development of China’s logistics industry.In this paper,the application of big data in logistics management is analyzed.Firstly,the concepts and characteristics of big data are introduced and then this paper discusses the necessity of application of big data in logistics management,and proposes specific application countermeasures,in hope of providing some reference to relevant staff.

Application of Big Data Information Platform in Medical Equipment

The application of big data in the medical device industry mainly refers to the analysis and processing of various medical devices,so as to provide patients with better treatment and rehabilitation services.At present,our country already has a relatively mature and reliable large database system.This article studies the application of medical equipment in the big data information platform.The main methods used in this article are survey method,case analysis method,and interview method.The big data information platform and medical devices are studied from different aspects.The survey results show that 41%of people completely agree with the role of big data information platforms in medical devices.

The Study on the Economic Application of Financial Big Data

Big Data has become the focus of the Internet industry. With the development of various industries becoming more sophisticated, long-term accumulation of operational data, customer data displays exponential growth trend. The rapid development of financial big data both poses opportunities and challenges for financial industry and economic growth. This article explains the economic application of big data based on the perspective of economics.