期刊文献+

基于行为规律的搜索资源分配新算法 被引量:4

A New Algorithm for Allocation of Search Resources Based on Behavior Rule
下载PDF
导出
摘要 针对具有行为规律的目标搜索问题,提出一种搜索资源分配算法.该方法以目标在各搜索区域的概率分布为基础,利用最优搜索理论分配区域搜索时长;以目标在各搜索区域的行为规律为基础,利用包络检测等方法决定区域开始搜索的时刻.针对网站关键词搜索的实验显示,根据目标行为规律在时间上相关程度的不同,本算法相对于最优搜索算法的性能提升在15%~50%之间,在对大量信息源进行信息搜索时具有应用价值. This paper proposes a new algorithm for search resources allocation to search targets with behavior rule. In the new algorithm, the optimal search theory is used to allocate the search periods for searchzones based on the probability distribution of the targets, and a target-behavior based envelope detectionalgorithm is developed to decide the time instants when the search begins. The experiment results of keywords searching on network sites indicate that the proposed algorithm has much better performance than theoptimal search method, and the performance gain is between 15% and 50% for different correlations of behavior rules. The algorithm will find application in searching mass information resources.
出处 《电讯技术》 北大核心 2014年第2期195-200,共6页 Telecommunication Engineering
关键词 资源分配 最优搜索 行为规律 目标搜索 resources allocation optimal search behavior rule target search
  • 相关文献

参考文献6

二级参考文献21

  • 1牛莉,毕雅军.关于最小置信区间的讨论[J].东北林业大学学报,2004,32(6):106-107. 被引量:2
  • 2朱清新.最优搜索理论及其应用[J].世界科技研究与发展,2005,27(4):39-49. 被引量:10
  • 3李振强,徐一元,马严.基于SNORT的IPv6入侵检测系统的研究与实现[J].电信科学,2005,21(8):32-36. 被引量:9
  • 4Weiser M.The computer for the 21st century[J].Seientifle American, 1991,265(3).
  • 5Hayes T,Pavel M,Schallau P K,et al.Unobtrusive monitoring of health status in an aging population[C]//Proceedings of the 5th International Conference on Ubiquitous Computing,Seattle,2003.
  • 6Toledo D,Lalinde P,Pozo W,et al.lnteroperability of a mobile health care solution with electronic healthcare record systems[C]// Engineering in Medicine and Biology Society,New York,2006.
  • 7Kenneth F.Ubiquitous computing challenges in recognizing and predicting human activity[C]//Proceedings of the IEEE International Conference on Fuzzy Systems.Budapest,2004.
  • 8Cuddihy P,Weisenberg J, Graichen C,et al.Algorithm to automatically detect abnormally long periods of inactivity in a home[C]// Proceedings of the 1st ACM SIGMOBILE,Puerto Rico,2007.
  • 9Ha T S,Jung J H,Oh S Y.Method to analyze user behavior in home environment[J].Personal and Ubiquitous Computing,2006,10(2/3): 110-121.
  • 10Liao T W,Zhang Z M.Similarity measures for retrieval in casebased reasoning system[J].Applied Artificial Intelligence,1998,12(4).

共引文献7

同被引文献36

  • 1周颖 ,王雪松 ,王国玉 ,赵锋 ,刘忠 .相控阵雷达最优搜索随机规划研究[J].现代雷达,2005,27(4):60-63. 被引量:17
  • 2蒋翠清,幸龙潮,丁勇.基于多Agent的知识管理系统模型研究[J].情报杂志,2007,26(2):56-58. 被引量:22
  • 3赵增荣,韩提文.基于Q-Learning的智能体训练[J].石家庄铁道学院学报,2007,20(2):37-39. 被引量:1
  • 4刘越.云计算技术与应用[M].北京:工业和信息化部电信研究院通信信息研究所,2009:3-10.
  • 5Lu Jianbin,Hu Weidong,Yu Wenxian.Phased array ra-dar cued search strategy based on information gain [ J ].Journal of System Engineering and Electronics,2008,19(2):292-297.
  • 6Wirth W D.Fast and efficient target search with phased ar-ray radars [ C ]//Proceedings of 1975 IEEE International Radar Conference.Arlington,USA:IEEE,1975:198-203.
  • 7Fleskes W.On Search Strategies of Phased Array Radars [ C ]//Proceedings of IEE Publication International Con-ference on Radar.[S.l.].IEEE,1982:12-14.
  • 8Koopman B O.Search and Screening[ M ].[ S.l.].Cen-ter for Naval Analysis,1956.
  • 9Koopman B O.The Theory of Search [ M ].[ S.l.].Oper-ation Research,1956.
  • 10Washburn A R.Search for a Moving Target:Upper Bound on Detection Probability[ R ]//AD-A063219.Monterey,CA:Naval Postgraduate School,1978:1-17.

引证文献4

二级引证文献6

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