Design and implementation of Wuhan Geospatial Information Sharing Platform

2008 ◽  
Author(s):  
Deren Li ◽  
Laixing Liu ◽  
Zhenfeng Shao
2019 ◽  
Vol 267 ◽  
pp. 02011
Author(s):  
Xiaobo Ming ◽  
Haizhen Pan ◽  
Yun Wu

At present, the market share of the Android system in the smartphone operating system has reached 90%. In view of the limitations of the existing sharing platform for campus competition information, a campus APP, which integrates competition and activity information release, information sharing and interrogative interaction, is put forward. In this paper, the overall architecture design, function module design, database design and RESTful API design are carried out. The Java language and MVP pattern are used by Android part. Python language, RESTful architecture and ORM technology are used at the backend to realize the information of publishing competition information, the list of competition information, the information of search competition and the management of competition information. The platform is running on the North Campus of Guizhou University, the current operation situation is well.


2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Yao-Chung Fan ◽  
Hsueh-Wen Tseng

With the popularity of mobile devices, numerous mobile applications have been and will continue to be developed for various interesting usage scenarios. Riding this trend, recent research community envisions a novel information retrieving and information-sharing platform, which views the users with mobile devices, being willing to accept crowdsourcing tasks ascrowd sensors. With the neat idea, a set of crowd sensors applications have emerged. Among the applications, the geospatial information systems based on crowd sensors show significant potentials beyond traditional ones by providing real-time geospatial information. In the applications, user positioning is of great importance. However, existing positioning techniques have their own disadvantages. In this paper, we study using pervasive Wi-Fi access point as user position indicators. The major challenge for using Wi-Fi access point is that there is no mechanism for mapping observed Wi-Fi signals to human-defined places. To this end, our idea is to employ crowdsourcing model to perform place name annotations by mobile participants to bridge the gap between signals and human-defined places. In this paper, we propose schemes for effectively enabling crowdsourcing-based place name annotation, and conduct real trials with recruited participants to study the effectiveness of the proposed schemes. The experiment results demonstrate the effectiveness of the proposed schemes over existing solutions.


Author(s):  
Chai Tian ◽  
Xiong De-Qi ◽  
Xaio-Bing He ◽  
Xing-Gu Zhang

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