Abstract
Mobile devices, and applications on these devices, are widely used as a result of active construction of the wireless infrastructure, globally. Services requiring context awareness, especially those based on position awareness, are using core technology from a diverse range of services. But existing positioning technologies mainly do their calculations on the server. So in this paper, in order to propose positioning technology that is suitable for mobile devices, we study approaches to collecting and providing information from the perspective of the database. Proposed technologies include producing data in some order, indexing, and searching; all of these use the mobile’s lower processing abilities when compared with a massive server. In addition, to show the practicality of the technologies, their validity is shown with experiments using a real test-bed at Gimpo Airport.
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Jung, JI., Cho, HW., Lee, SS. (2012). A Study of Data Mining Method for Indoor Positioning on Smartphones. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_86
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DOI: https://doi.org/10.1007/978-3-642-32645-5_86
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