Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이상선 | - |
dc.date.accessioned | 2018-03-27T00:41:17Z | - |
dc.date.available | 2018-03-27T00:41:17Z | - |
dc.date.issued | 2012-08 | - |
dc.identifier.citation | Lecture Notes in Computer Science,Vol.- No.7425 [2012],pp.683-697 | en_US |
dc.identifier.isbn | 978-364232644-8 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://link.springer.com/chapter/10.1007%2F978-3-642-32645-5_86 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/52808 | - |
dc.description.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. | en_US |
dc.description.sponsorship | "This reaserch was supported by the MKE(The Ministry of knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency" NIPA-2012-H0401-12-1001. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag Berlin Heidelberg 2012 | en_US |
dc.subject | Database | en_US |
dc.subject | Mobile Device | en_US |
dc.subject | Tree | en_US |
dc.subject | WAP (Wide Area Positioning) | en_US |
dc.subject | WLAN | en_US |
dc.title | A Study of Data Mining Method for Indoor Positioning on Smartphones | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/978-3-642-32645-5_86 | - |
dc.relation.page | 683-697 | - |
dc.contributor.googleauthor | Jung, Jong-In | - |
dc.contributor.googleauthor | Cho, Hyuk-Won | - |
dc.contributor.googleauthor | Lee, Sang-Sun | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | ssnlee | - |
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