Yaqiong Liu

Mobile brand analysis based on WiFi hotspots on campus

With the rapid development of mobile Internet, the ways in which users access the network become diverse, which provides much convenience for us to collect huge amount of users behavior information. In this paper, we combine data acquisition based on wireless access and brand analysis innovatively. This paper analyzes proportions of mobile terminal brands on campus using the data collected from WiCloud which is a WiFi-based data acquisition platform built by our lab, and classifies and analyzes the characteristics of mobile terminal brands. Finally, we put forward a method of predicting the proportions of mobile brands on campus based on ARIMA model, and the results prove that our brand prediction method has good fitting effect and good prediction ability.

Student clustering and learning atmosphere analysis based on trajectory data

With the popularity of mobile Internet and the rapid development of data mining, we can collect users behavior trajectory and find regularity from a large amount of data. In this paper, we use the WiCloud system to obtain students trajectory information, and propose a spatial-temporal clustering method based on K-means algorithm, which clusters students into three types: study-oriented, enclosed type and active type. A method for analyzing students learning atmosphere based on trajectory data is also proposed, with which we get different trends of campus students learning atmosphere in different time periods among different types of users.

The intelligent video management system: A use case of software defined class

Information and Communication Technology is always walking in the forefront of human education. Now, it is the stage where human education has to adapt itself to the developing technologies. In 2016, the Natural Science Foundation suggested that people need to use the human-technology to improve and extend the human learning. This paper provides the concept of Software Defined Class (SDC), where the innovative sensing, communication and computing technologies are integrated with the interactive modes between the teacher and the students. Specifically, this paper proposes an intelligent video management system based on Mobile Edge Computing and face recognition for the flipped classroom. The video database of every student can be used for real-time assessment, sharing assessment and the capability certification for the school and the third organization. The obtained results demonstrate the enhancement and expansion of learning efficiency and management efficiency.

Towards a smart campus: Innovative applications with WiCloud platform based on mobile edge computing

A smart campus refers to a campus where modern information and communication technologies bring more convenience to campus life, assist campus users to improve and more efficiently accomplish their daily activities, and enhance social interactions. Regarding the high demand of services such as mining campus users semantic information, building augmented reality assisted mobile campus and smart class, we establish an innovative platform, namely, WiCloud, based on Mobile Edge Computing, to provide multiple innovative applications towards a smart campus. We first briefly present the architecture, implementation, and the basic functions of our WiCloud platform. We then elaborate three highly innovative applications, (i) campus users semantic information analysis, (ii) mobile augmented reality assisted smart campus, and (iii) smart class, that are developed based on WiCloud. Multiple examples of each innovative application demonstrate the innovative applications based on WiCloud perform well and have achieved the goal of benefiting campus users and building a smart campus.