An implementation of location-based service system with android push notification for roll call

Author(s):  
Xingyuan Wang ◽  
Jing Yang
2020 ◽  
Author(s):  
Jianjun Bao ◽  
WANG Haibo

Abstract Aiming at the common application requirements of intelligent mine construction for high-precision location based service, this paper analyses the present status and development of mine positioning technology, explains the technical bottlenecks and construction goals in the existing system, discusses in detail the key technologies such as location based service system architecture, multi-source fusion positioning method, distributed service oriented system, high-precision map and 4D visualization, and finally puts forward the technical standard requirements of location based service and related mine application system research directions.


2013 ◽  
Vol 470 ◽  
pp. 753-757
Author(s):  
Hong Wei Jia ◽  
Fang Zhao

Research in this paper focuses on route recommendation for customers in shopping malls for a LBS(Location-based service ) system. Besides the shopping places selected by a customer, this system can recommend shopping places according to customers history record and similar customers history record analysis. In addition, the length of all routes between two walking destinations, and the traffic density on the routes are two primary factors when route optimization is done in the system. The algorithm referred above have been implemented. A large number of testing showed that the algorithm was efficient to meet the actual need. !


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yongyan Zhao ◽  
Shaonan Shan

With the development of network, location-based service architecture is gradually applied to the learning support service system. The purpose of this study is to develop an online learning support system using allocation information service architecture. In this study, the 2019 year of this study was selected as a research material through an online learning support service system within six months. The system architecture of this study is the Browser/Server architecture. Based on this, we analyze the learning result data using the weight setting of the feature attribute and the learning evaluation algorithm. The results show that the improved algorithm based on location-based service architecture can get the best algorithm accuracy when the weight of the whole algorithm is about α = 0.4. For the degree of demand for learning guidance, 16.2% thought it was absolutely necessary and 50.7% thought it was more necessary. And 70.6% of the learners thought that the learning system was not very accurate or generally accurate. It is concluded that the learning support service system of this study has a certain role. It provides a new path to improve the quality of online education learning support service and promotes the development of online education.


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