Current situation and development of China Campus Card System

Jian-wen, Feng; Li, Feng; Xuan, Lin

doi:10.1109/icaie.2010.5641106

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In college students' social network mining, one potentially useful information source is the student ID card. With the development of digital and informational campuses, most Chinese universities have established student ID card systems [12][13][14][15]. Student ID cards record students' daily behaviors, including students' dining, shopping, book borrowing, library access history, and other data.…”

Section: Introductionmentioning

confidence: 99%

Finding College Student Social Networks by Mining the Records of Student ID Transactions

Liu

Yang

et al. 2019

Symmetry

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Information about college students’ social networks plays a pivotal role in college students’ mental health monitoring and student management. While there have been many studies to infer social networks by data mining, the mining of college students’ social networks lacks consideration of homophily. College students’ social behaviors show significant homophily in the aspect of major and grade. Consequently, the inferred inter-major and inter-grade social ties will be erroneously omitted without considering such an effect. In this work, we aimed to increase the fidelity of the extracted networks by alleviating the homophily effect. To achieve this goal, we propose a method that combines the sliding time-window method with the hierarchical encounter model based on association rules. Specifically, we first calculated the counts of spatial–temporal co-occurrences of each student pair. The co-occurrences were acquired by the sliding time-window method, which takes advantage of the symmetry of the social ties. We then applied the hierarchical encounter model based on association rules to extract social networks by layer. Furthermore, we propose an adaptive method to set co-occurrence thresholds. Results suggested that our model infers the social networks of students with better fidelity, with the proportion of extracted inter-major social ties in entire social ties increasing from 0.89% to 5.45% and the proportion of inter-grade social ties rising from 0.92% to 4.65%.

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Section: Introductionmentioning

confidence: 99%

Finding College Student Social Networks by Mining the Records of Student ID Transactions

Liu

Yang

et al. 2019

Symmetry

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“…Using intelligent food card as the carrier of information, the students intelligent food card system (CSCS) is relying on the students network to provide identification, students management and other application services with the Internet of things, the Internet, software engineering and database technology (Wolfgang and Wolfgang, 2004;Liu, 2008). Since the beginning of twenty-first Century, experiencing the hardware architecture, application architecture, software architecture and service architecture stages, the CSCS has become the infrastructure and necessary management tool of digital students (Jianwen et al, 2010). But the excellent solutions need a lot of supports such as sufficient fund, advanced information technology, perfect information management method and strong team.…”

Section: Introductionmentioning

confidence: 99%

Study on the Students Intelligent Food Card System Based on SaaS

Zhang¹

2015

AJFST

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The intelligent food card system has become an essential part of the digital society. Recently the solutions based on SaaS in China have become popular for the advantages of less upfront investment, good service quality and convenience maintainability. In this study, we discussed the solutions for three challenges: personalized demand, system integration and information utilization. Firstly, it was suggested that different users should select the private cloud or public cloud mode. Next, the students intelligent food card system model based on SaaS was proposed. The model with layered architecture has good configurability, flexibility and integration metrics. Then, several methods were put forward to solve the integration between the card systems with other information systems.

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Study on the Campus Smart Card System based on SaaS

Jian-wen¹

2015

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

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Abstract. The smart card system has become an essential part of the digital campus. Recently the solutions based on SaaS in China have become popular for the advantages of less upfront investment, good service quality and convenience maintainability. But in colleges and universities there are many challenges. In this paper, we discussed the solutions for three challenges: personalized demand, system integration and information utilization. Firstly, it was suggested that different users should select the private cloud or public cloud mode. Next, the campus smart card system model based on SaaS was proposed. The model with layered architecture has good configurability, flexibility and integration metrics. Then, several methods were put forward to solve the integration between the card systems with other information systems. In addition, the IA theory was applied in the information retrieval, and the intelligent analysis examples of the card business data were discussed. At last we considered five kinds of configurability: data, function, workflow, portal and smart card, and a configurability management system based on metadata was presented.

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Current situation and development of China Campus Card System

Cited by 3 publications

References 4 publications

Finding College Student Social Networks by Mining the Records of Student ID Transactions

Finding College Student Social Networks by Mining the Records of Student ID Transactions

Study on the Students Intelligent Food Card System Based on SaaS

Study on the Campus Smart Card System based on SaaS

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