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http://dx.doi.org/10.12672/ksis.2013.21.4.083

Prefetching Techniques of Efficient Continuous Spatial Queries on Mobile AR  

Yang, Pyoung Woo (Dept. of Computer and Information Engineering, Kunsan National University)
Jung, Yong Hee (Handysoft)
Han, Jeong Hye (Dept. Computer Education, Chungju National University of Education)
Lee, Yon Sik (Dept. of Computer and Information Engineering, Kunsan National University)
Nam, Kwang Woo (Dept. of Computer and Information Engineering, Kunsan National University)
Publication Information
Abstract
Recently various contents have been produced using the techniques that require high-performance computing process. A lot of services have been being producted as AR(Augmented Reality) service being combined with mobile information service that a moving user search various information based on one's location with. Mobile information service has a characteristic that it needs to get new information according to the location an user moves to. The characteristic requires a lot of communications when user search information moving to a different location. In order to make up for this drawback, we propose a prefetching technique based on speed and viewing angle in this paper. Existing prefetching techniques retrieve the following location of users considering moving speed and direction of the users. The data showed on the screen in AR is limited by the viewing angle of the mobile device. Due to the problems we discussed above, existing prefetching techniques have a demerit that they retrieve a lot more data than needed actually. We propose more efficient way of retrieving data with AR using the viewing angle of the mobile device. The method we propose reduces retrieval of unnecessary location using the users' speed, direction and viewing angle. This method is more efficient than the existing ways of retrieval because we don't need as many data.
Keywords
Mobile information service; AR; Prefetching;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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