期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

Analysis and compare of location technologies supporting LBS 被引量：1

Analysis and compare of location technologies supporting LBS
下载PDF
导出
摘要 Location technology is the key part of location based service. Different technologies have different accuracy, modifying to network and cost of operating. Also these technologies have limitation to network. This paper compares existing popular location technologies and gives some suggestions about choosing of location technologies in GSM and CDMA systems. Location technology is the key part of location based service. Different technologies have different accuracy, modifying to network and cost of operating. Also these technologies have limitation to network. This paper compares existing popular location technologies and gives some suggestions about choosing of location technologies in GSM and CDMA systems.
作者 CAOHai-bing XIAYing GEJun-wei BAEHae-young
机构地区 Sino-KoreaChongqingGISResearchCenter Dept.ofComputerScience＆Engineering
出处 《重庆邮电学院学报（自然科学版）》 2004年第5期42-45,共4页 Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金 This work is supported by University IT Research Center Project Korea
关键词 LBS 定位技术 GPS 单元号 移动通讯 location technology LBS Cell -ID GPS
分类号 TN929.5 [电子电信—通信与信息系统]
  • 相关文献

参考文献4

  • 1Qualcomm Company: White Paper, Location Technologies for GSM, GPRS and UMTS Networks [Z]. 2003.
  • 2Sharad Chandra Agrawal, Sandeep Agrawal: Location Based Services [Z]. 2003.
  • 3Vipul Sawhney Location Based Services [Z]. 2002.
  • 4Heikki Laitinen Cellular Location Technology [Z].2001.

同被引文献9

  • 1YAN X, HAN J, AFSHAR R. CloSpan:mining closed sequential pattern in large database [ J ]. Data Mining, 2003, 16(5) :40-45.
  • 2WANG Jianyong,HAN Jiawei. BIDE: Efficient Mining of Frequent Closed Sequences[ C ]//Proceeding of the 2004 international conference on data engineering (ICDE'04) , Boston, MA: IEEE Press,2004 : 79-90.
  • 3WILSON C. Activity pattern analysis by means of sequence alignment methods [ J ]. Environment and Planning,1998(30) : 1017-1038.
  • 4ADOMAVICIUS Gediminas, TUZHILIN Alexander. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(6) : 734-749.
  • 5BERGROTH L, HAKONEN H, RMTA T. A Survey of longest Common Subsequence Algorithms [ C ]// Proceeding of 7th International Symposium on String Processing and Information Retrieval SPIRE'00. Washington, DC, USA : IEEE Computer Society, 2000 : 39-48.
  • 6李锡娟,刘锋,闫娜娜,徐杰,耿波.PrefixSpan算法与CloSpan算法的分析与研究[J].计算机技术与发展,2008,18(1):70-73. 被引量：6
  • 7李雄,马修军,王晨星,迪丽娜尔.牙生,柴彦威.城市居民时空行为序列模式挖掘方法[J].地理与地理信息科学,2009,25(2):10-14. 被引量：11
  • 8王虎,丁世飞.序列模式挖掘研究与发展[J].计算机科学,2009,36(12):14-17. 被引量：33
  • 9朱扬勇,戴东波,熊赟.序列数据相似性查询技术研究综述[J].计算机研究与发展,2010,47(2):264-276. 被引量：13

引证文献1

二级引证文献3

重庆邮电学院学报（自然科学版）
2004年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部