DSpace
 


My University > NCS全國計算機會議 > 1995年 NCS 全國計算機會議 >





Title: People Help People: A Pattern-matching Localization with Inputs from User Community
Authors: Lo, Chi-Chung Jr; Lin, Shih-Chin Jr; Kuo, Sheng-Po Jr; Tseng, Yu-Chee Jr; Peng, Shin-Yun Jr; Huang, Shang-Ming Jr; Hung, Yu-Neng Jr; Hung, Chin-Fu Jr
Keywords: localization
location-based service
pattern matching
pervasive computing
wireless positioning system
Issue Date: 21-1-2011
Series/Report no.: 2010 ICS會議
Abstract: Location-based services are regarded as a killer application of mobile networks. Among all RF-based localization techniques, the pattern-matching scheme is probably the most widely accepted approach. A key factor to its success is the accuracy concern and the calibration efforts to collect its training data. In this paper, we propose a community-based approach to reduce the calibration effort. We show how to get some volunteers (called co-trainers) to help add more training data to our location database. We also show how to rate the credit level of a co-trainer and the trust level of a piece of training data contributed by a co-trainer. We believe that our framework can greatly reduce the calibration effort of the pattern-matching localization scheme.
Appears in Collections:1995年 NCS 全國計算機會議

Files in This Item:

File Description SizeFormat
638_ICS2010.pdf113.85 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!