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

移动终端群智感知研究 被引量：10

Research on Mobile Terminal Crowdsourcing
下载PDF
导出
摘要 随着移动终端集成了越来越多的内置传感器,移动群智感知成为近几年来的研究热点。通过对移动终端传感器感知数据的收集分析处理,用户所处情境便能被识别,还原用户所处场景,为用户提供个性化服务。文中通过归纳国内外的最新研究成果,提出了移动终端群智感知模型,并从数据处理、激励机制和群智感知应用、群智感知平台等几个方面具体归纳概括了国内外的研究趋势。文中归纳了最新的数据处理技术和群智感知应用场景,并提出了竞争和协作相辅相成的激励模式。 Under the circumstance that smartphones integrate many sensors,the research on mobile crowdsourcing are becoming important and popular in recent years.Through the way of analyzing the data collected from the mobile terminal,mobile crowdsourcing can sense user＇s situation intelligently and provide personalized service.It summarizes the latest researches home and abroad,and proposes a general model for the mobile terminal crowdsourcing.Also introduce the state of the art in mobile crowdsourcing in four aspects,namely the data processing,motivation mechanism,mobile crowdsourcing applications and platforms supporting crowdsoucing.The latest data processing techniques and crowdsourcing applications are proposed and a new mechanism is put forward.
作者 黄涵霞 丁强 李莉 娄梦茜 孙知信
机构地区 南京邮电大学物联网学院 华为技术有限公司中央研究院
出处 《计算机技术与发展》 2014年第6期6-9,共4页 Computer Technology and Development
基金 国家自然科学基金资助项目(60973140 61170276) 江苏省产学研项目(BY2013011) 江苏省科技型企业创新基金项目(BC2013027) 江苏省高校自然科学研究重大项目(12KJA520003) 华为创新计划项目
关键词 移动终端 群体 群智感知 mobile terminal crowd crowdsourcing
分类号 TP31 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献27

  • 1刘云浩.群智感知计算[J].中国计算机学会通信,2012,8(10):38-41.
  • 2Scaffidi C, Myers B A,Shaw M. Intelligently creating and rec- ommending reusable reformatting rules [ C ]//Proc of the 2009 international conference on intelligent user interfaces. Sanibel Island,Florida,USA: [ s. n. ] ,2009:297-306.
  • 3Chiticariu L, Kolaitis P G, Popa L. Interactive generation of in- tegrated schemas[ C]//Proc of the 2008 ACM SIGMOD inter- national conference on management of data. New York, NY, USA : ACM ,2008:833-846.
  • 4Haas L M, Hernmdez M A, Ho H,et al. Clio grows up:from research prototype to industrial tool [ C ]//Proc of the 2005 ACM SIGMOD international conference on management of da- ta. New York, NY, USA : ACM ,2005:805-810.
  • 5Kang H, Getoor L, Shneiderman B, et al. Interactive entity res- olution in relational data:a visual analytic tool and its evalua- tion [ J ]. IEEE TVCG ,2008,14 ( 5 ) :999-1014.
  • 6Robertson G G, Czerwinski M P, Churchill J E. Visualization of mappings between schemas [ C ]//Proc of the SIGCHI confer- ence on human factors in computing systems. New York, NY, USA : ACM ,2005:431-439.
  • 7Dasu T, Johnson T, Muthukrishnan S, et al. Mining database structure ; or, how to build a data quality browser[ C ]//Proc of SIGMOD conference. New York, NY, USA : ACM, 2002 : 240 - 251.
  • 8Raman V, Hellerstein J M. Potter' s wheel : an interactive data cleaning system [ C ]//Proc of the 27th international confer- ence on VLDB. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc ,2001:381-390.
  • 9余建平,周新民,陈明.群体智能典型算法研究综述[J].计算机工程与应用,2010,46(25):1-4. 被引量：37
  • 10Ranganathan A, AI-Muhtadi J, Campbell R H. Reasoning a- bout uncertain contexts in pervasive computing environments [ J ]. IEEE Pervasive Computing, 2004,3 ( 2 ) :62-70.

二级参考文献18

  • 1Bonabeau E, Dorigo M, Theraulaz G.Swarm intelligence:From natural to artificial systems[M].New York: Oxford University Press, 1999: 40-58.
  • 2Dorigo M, Bonabeau E, Theralulaz G.Ant algorithms and stigmergy[J].Future Generation Computer System, 2000, 16 (8): 851-871.
  • 3Colomi A, Dorigo M, Maniezzo V.Distributed optimization by ant colonies[C]//Proc of the European Conf on Artificial Life, Paris,France, 1991 : 134-142.
  • 4Kennedy J, Eberhart R.Particle swarm optimization[C]//Proc of the 4th IEEE International Conf on Neural Networks, Perth, Australia, 1995 : 1942-1948.
  • 5Bonabeau E, Dorigo M, Theraulaz G.Inspiration for optimization from social insect behaviour[J].Nature,2000,406(6):39-42.
  • 6Daniel M, Martin M, Hartmut S.Ant colony optimization for resource-constrained project scheduling[J].IEEE Transactions on Evolutionary Computation, 2002,6(4) : 347-357.
  • 7Dorigo M, Gambardella L M.Ant colonies for the traveling salesman problem[J].BioSystems, 1997,43(2) :73-81.
  • 8Dorigo M, Maniezzo V, Colorni A.Ant system: Optimization by a colony of cooperating agents[J].IEEE Transactions on Systems,Man,and Cybernetics:Part B,1996,26(1):29-41.
  • 9Stutzle T, Hoos H.MAX-MIN ant systems[J].Future Generation Computer System,2000, 16(8) :889-914.
  • 10Bullnheimer B, Hartl R F, Strauss C.A new rank based version of the ant system:A computational study[J].Central European Journal for Operations Research and Economics, 1999,7 (1):25-38.

共引文献37

同被引文献50

  • 1He D D, Winokuur E S,Sodini C G.An ear-Worn continousballisto- cardiogram(BCG) sensor for cardiovascular monitoring[C].//Proceedings of the IEEE Monitoring International Conference of the EMBS. San Diego, USA,2012:5030-5033.
  • 2Tsow F,Forzani E,Rai A,et al,A wearable and wirelless sensor sysytem for reall-time monitoring of toxic environmental volatile organic compounds[J].Sensor,2009,9( 12): 1734-1740.
  • 3Susan Hong, Global micro electro mechanical systems (MEMS) mar- ket survey[R], IHSScreen Digest, USA, 2015.
  • 4Analog Devices,The instruction of ADXL363 MEMS digital output sensor [EB/OL], 2013.http:/lwww.analog.comlcn/products/memslmems- accelerometers/adx1363.html#product-overview.
  • 5Laura Wood, Status of the MEMS Industry [M/OL], August 2014 edi- tion, Aug. 5, 2014. http://www.prnewswire.com/news-releases/mems- status-of-the-meres-industry-2014-269984991 .html.
  • 6IEEE Std2700, IEEE Standard for Sensor Performance Parameter Definitions Description [S], 2014.
  • 7肖亮,李炎达,刘金亮,等.一种基于移动群智感知的路况信息汇集方法:CN201510127406[P].2015-05-17.
  • 8Zhou Mu,Wong A K S,Tian Zengshan et al.Personal Mobility Map Construction for Crowd-sourced Wi-Fi Based Indoor Mapping[J].IEEE Communications Letters,2014,18(8):1427-1430.
  • 9Ma Huadong,Zhao Dong,Yuan Peiyan.Opportunities in Mobile Crowd Sensing[J].IEEE Communications Magazine,2014,52(8):29-35.
  • 10Ding Guoru,Wang Jinlong,Wu Qihui,et al.Robust Spectrum Sensing With Crowd Sensors[J].IEEE Transactions on Communications,2014,62(9):3129-3143.

引证文献10

二级引证文献68

计算机技术与发展
2014年 第6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