Yangqing Zhu

Bio: Yangqing Zhu is an academic researcher. The author has contributed to research in topics: Mathematics education & Computer science. The author has an hindex of 1, co-authored 1 publications receiving 8 citations.

Research on Security Construction of Smart City

Abstract: Based on the traditional city, smart city is a new city that is constructed by Internet of things, mobile Internet, cloud computing, big data and other information technologies. Smart city can change interaction way of people, improve the real-time processing capability of information and response speed; promote comprehensive and sustainable development of various social works of smart city. But because Internet of things connected the real world and cyber space, in the smart city operation, not only include the traditional security problems, for example, the related equipment and building destruction, also include through software and instruction to damage network information, city construction and so on, which will bring a big challenge to smart city operation. To solve the security problem of smart city should put forward a system security mode from the view of system engineering. Through analyzing smart city architecture and security risk, put forward smart city security platform, studied the physical equipment protection, information security technologies, effective management, laws, personal information security literacy of smart city.

Think on Teaching Evaluation on Chinese University Teachers Based on Cloud Platform Data Evidence

Abstract: At present, the teaching evaluation of most universities in China is mainly based on the students’ evaluation of teachers at the end of the learning course, which is difficult to play a role in the continuous improvement of teaching. Based on the Outcome-Based Education (OBE) teaching concept, this paper considered and designed a teacher teaching evaluation system based on the data evidence of cloud teaching platform. The system can save all the teaching activities and documents of teachers before, during and after class as well as the learning results of students. The evaluator used the cloud platform teaching documents to evaluate the teaching quality of subject teachers. The subject teacher will receive the evaluation results and follow-up teaching reform suggestions in the teaching evaluation module, and adjust and optimize the follow-up lectures in time to continuously improve the teaching quality. Finally, this paper gave the strategies for Chinese universities to implement teacher teaching evaluation based on cloud teaching platform data evidence, in order to better promote the reform of teacher teaching evaluation in Chinese universities.

Research and Practice of Online and Offline Blending Teaching Mode of “Foundation of Program Design”

Abstract: Aiming at the poor teaching effect of traditional teaching mode, this paper explored the online and offline blending teaching mode and practice of the course "Foundation of Programming". With "Ketangpai" as the teaching platform, teachers upload teaching resources to guide students to study independently and explore learning, strengthen communication between teachers and students in class and after class, and strengthen the process assessment. The whole teaching process data of a semester was stored in the "Ketangpai" server, with high teaching efficiency. Through the survey of students' satisfaction, we have obtained a good evaluation of the online and offline blending teaching mode of the course "Foundation of Programming". Through the analysis of the final examination of the course "Foundation of Programming" for two semesters, it was found that the students' test scores under the mode of online and offline blending teaching were better than those under the traditional teaching mode.

Research on Ideological and Political Teaching Use Cases and Teaching Strategies of Database System Principle Course

Abstract: The course is the basis of teaching construction in the universities. Strengthening course construction is an important guarantee for effectively implementing teaching plans and improving teaching level and quality of personnel. To explore the ways of imparting knowledge, cultivating ability and guiding value in university course teaching, so as to improve students' comprehensive quality. Analyzed the teaching process with the observation method and experience method, put forward a new teaching scheme, and verified the new teaching scheme with the practice method. On the basis of studying the existing literature, studied design principles of use cases for ideological and political teaching of professional courses. Taking the course of principle of database system as an example, constructed the teaching use case of "Chinese poetry database", uses this teaching use case to carry out teaching practice. Carried out the practical exploration of teaching strategy based on teaching use cases through integrating the first number class, daily classroom teaching, after-school homework and course assessment. The ideological and political teaching of professional courses based on teaching use cases has better realized the three-dimensional teaching objectives of professional course knowledge transfer, ability training and value guidance, improved the ideological and political teaching effect of database system principles, and improved the comprehensive quality of students.

Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework.

Abstract: The complex and interdependent nature of smart cities raises significant political, technical, and socioeconomic challenges for designers, integrators and organisations involved in administrating these new entities. An increasing number of studies focus on the security, privacy and risks within smart cities, highlighting the threats relating to information security and challenges for smart city infrastructure in the management and processing of personal data. This study analyses many of these challenges, offers a valuable synthesis of the relevant key literature, and develops a smart city interaction framework. The study is organised around a number of key themes within smart cities research: privacy and security of mobile devices and services; smart city infrastructure, power systems, healthcare, frameworks, algorithms and protocols to improve security and privacy, operational threats for smart cities, use and adoption of smart services by citizens, use of blockchain and use of social media. This comprehensive review provides a useful perspective on many of the key issues and offers key direction for future studies. The findings of this study can provide an informative research framework and reference point for academics and practitioners.

Multiple Dimensions of Smart Cities’ Infrastructure: A Review

Abstract: In recent years, there has been significant focus on smart cities, on how they operate and develop, and on their technical and social challenges. The importance of infrastructure as a major pillar of support in cities, in addition to the rapid developments in smart city research, necessitate an up-to-date review of smart cities’ infrastructure issues and challenges. Traditionally, a majority of studies have focused on traffic control and management, transport network design, smart grid initiatives, IoT (Internet of Things) integration, big data, land use development, and how urbanization processes impact land use in the long run. The work presented herein proposes a novel review framework that analyzes how smart city infrastructure is related to the urbanization process while presenting developments in IoT sensor networks, big data analysis of the generated information, and green construction. A classification framework was proposed to give insights on new initiatives regarding smart city infrastructure through answering the following questions: (i) What are the various dimensions on which smart city infrastructure research focuses? (ii) What are the themes and classes associated with these dimensions? (iii) What are the main shortcomings in current approaches, and what would be a good research agenda for the future? A bibliometric analysis was conducted, presenting cluster maps that can be used to understand different research trends and refine further searches. A bibliographic analysis was then followed, presenting a review of the most relevant studies over the last five years. The method proposed serves to stress where future research into understanding smart systems, their implementation and functionality would be best directed. This research concluded that future research on the topic should conceptualize smart cities as an emergent socio-techno phenomenon.

The First Two Decades of Smart City Research from a Risk Perspective

Abstract: Although they offer major advantages, smart cities present unprecedented risks and challenges. There are abundant discrete studies on risks related to smart cities; however, such risks have not been thoroughly understood to date. This paper is a systematic review that aims to identify the origin, trends, and categories of risks from previous studies on smart cities. This review includes 85 related articles published between 2000 and 2019. Through a thematic analysis, smart city risks were categorized into three main themes: organizational, social, and technological. The risks within the intersections of these themes were also grouped into (1) digital transformation, (2) socio-technical, and (3) corporate social responsibility. The results revealed that risk is a comparatively new topic in smart-city research and that little focus has been given to social risks. The findings indicated that studies from countries with a long history of smart cities tend to place greater emphasis on social risks. This study highlights the significance of smart city risks for researchers and practitioners, providing a solid direction for future smart-city research.

Big Data, the Internet of Things, and Smart City Research: A Literature Review and Research Agenda

Abstract: This study aims at providing a literature review of big data, the Internet of Things, and Smart cities research using SCOPUS, which is considered as the largest abstract and citation database of peer-reviewed literature. The research identified 143 relevant papers. The analyses of distribution of papers by year of publication, subject area, country, type, top 10 authors, and source are presented and discussed. A research agenda for future research is provided.