学科筛选

  • 1. 数据挖掘在人因事件分析中的应用 (被引用:2 次)

  • 【来源】

    [会议论文] 2008(沈阳)国际安全科学与技术学术研讨会 - 2008

  • 【作者】

    赵明  张力 
  • 【摘要】

    本文提出了在人因分析中引入数据挖掘技术的必要性和可能性,并以此为基础提出了人因事件分析的流程。 进而应用数据挖掘技术对世界核电厂运营者联合会1993~2007年1540份事件分析报告进行分析,获得了以下结论:(...

  • 【关键词】

    人因事件  原因分析  数据挖掘 
  • 6.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    HONGYUN SHI  SONGLIN YANG 
  • 【摘要】

    Identifying coherence target points(CTs)of synthetic aperture radar interferometry(InSAR)images is a critical process in the data processing.The traditional method of identifying CTs is based on eithe

  • 7.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    HSUN-HUA TSENG  HSIEN-I LIN  TO-PO WANG  TZU-CHEN HUNG 
  • 【摘要】

    Emergency response to complete(AC/DC power supply) blackout of Nuclear Power Plant like what happened to Fukushima accident requires a battery-powered ad-hoc wireless personal area networks(WPANs) ins

  • 8.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    YING LI  HUAI-LIANG CHEN  BO-WEN SONG  YAO-HUI LI 
  • 【摘要】

    Imaging spectrometer data can provide successive narrow-band spectral information,but the time cost of crop type identification using high dimensional data is high.The aerial imaging spectrometer data

  • 9.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    XIULAN YU  YAN LI  YANLI LIU  XIAORONG JING 
  • 【摘要】

    This paper investigates the limited feedback technology based on the Multiple Input Multiple Output Orthogonal Frequency Division Multiple(MIMO-OFDM)system for the purpose of the application in the LT

  • 10.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    QI CHEN  TONG ZHAO 
  • 【摘要】

    An adaptive ray tracing propagation model is proposed after superimposing direct,(diffuse)reflection and diffraction radio wave propagation signal in a probabilistic method.Measured data is used to tr

  • 11.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    WEI JIA  YIHAN ZHAO  BIN ZHOU  GUOQIANG LI 
  • 【摘要】

    Establishing a mathematical model through the usage of the maximum minimum distance algorithm and K-means algorithm.Firstly,extract the lightning sample points,then cluster the sample points into diff

  • 12.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    CHIU-HSIUNG CHEN  CHENG-CHUNG WU  SHU-CHEN YEN  SHU-MAN TSAI  YING-SHIH MAI 
  • 【摘要】

    In order to resolve the gaps of practical performance assessment,in the choice of method,this paper considered Data Envelopment Analysis(DEA)Method that not required specific production function in ad

  • 13.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    SIWEI LIU  LIANGSHENG LOU  JIANGE LIU 
  • 【摘要】

    For the need of DEM generation,the coordinate transformation between GPS antenna phase center and the radar antenna phase center and time synchronization between the DGPS/IMU system and the radar syst

  • 14.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    JUN XUE  GAOFENG PAN  XINGYUAN XU 
  • 【摘要】

    By monitoring room environmental information of the TT&C system onboard,is intended to statistical monitoring data for the system to create a more suitable working environment.Through analysis and com

  • 15.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    CHI-FANG LIU  TZU-YORN KAO  CHENG-CHUNG WU  YA-FEN CHANG  YI-RU TSAI  YI-SAN CHEN 
  • 【摘要】

    With the development of China''s reform,China''s economy has integrating into the global economy.As a result,more and more foreign capital continues to flow into China.Since 1990,foreign direct invest...

  • 16.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    ZITAO DU  LIN HAO  YIDING CAO  CHUANG DU  SHUQIANG YAN  XIAOMING YANG 
  • 【摘要】

    By using Landsat TM/ETM+data,meteorological data,quantitative retrieval of land surface temperature reversion and GIS spatial analysis,the study analyzed the temporal and spatial distribution of heat

  • 17.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    LEI PAN  XIANGYANG WANG  QIFENG LI 
  • 【摘要】

    A novel multi-relay transmission model is proposed in this paper for a multiple input multiple output(MIMO)system,where the vehicle moves along a fixed path at a certain speed within the cell.Then a d

  • 18.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    QINGHE ZHANG  FEI XU 
  • 【摘要】

    Many attempts have been made to retrieve soil surface parameters,such as soil moisture(SM),surface roughness parameters,by regressions or other statistical methods and other techniques like genetic al

  • 19.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    BO QU  JINNAN ZHU 
  • 【摘要】

    The interaction correlations between North Atlantic Oscillation(NAO)and sea surface temperature(SST),NAO and wind speed,and SST and wind speed are studied in Greenland Sea(65-85°N,10°W-10°E)Arctic Oce

  • 20.

  • 【来源】

    [会议论文] 2014 International Conference on Remote Sensing and Wireless Communications(RSWC 2014) - 2014

  • 【作者】

    RENBO LUO  YOUGUO PI 
  • 【摘要】

    The KPCA algorithm is widely used for feature extraction of hyperspectral images.One of the disadvantages of KPCA is that its sequential implementations have long run time due to their relatively larg

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