排序方式: 共有38条查询结果,搜索用时 125 毫秒
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MultimediaServiceshasdrawnmuchattention frombothindustrialandacademicresearchersdueto theemergingconsumermarketresultfromfaster developmentofnetworkbandwidthandhighavaila bilityofmultimediatechnologies,suchasinterac tivemultimedia,videoondemand(VOD),multi… 相似文献
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运用Ansys和Hypcrmcsh软件建立某客车整车的有限元模型,并对其进行整车模态仿真分析,得出各阶的固有频率与振型。基于Ansys的PSD功能。在模态分析的基础上进行两种工况下的随机振动谱分析和谐分析,得到较大位移节点的位移、速度和加速度响应曲线,以及两种工况下的共振频率和特征频率下特征点的位移峰值,为可能的结构改进方案提供分析基础。 相似文献
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Pull basedinformationservicesuchassearchengineandfull textretrievalserveusersinare trieval on demandmodewhenuserneedtofindwhathe/shewants .Howeverwiththeexplosivegrowthoftheinternettechniques,locatingrelevantinformationistimeconsumingandexpensive ,pushtechnologypromisesaproperwaytorelieveusersfromthedrudgeryofinformationsearching .Somecurrentcommercesoftwareor prototypesystemssuchasPointCastNetwork ,CNNNewswatch ,SmartPush,ConCallserveusersinapersonalizedway[1 3 ] ,whilerecommendationsyst… 相似文献
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A language model for information retrieval is built by using a query language model to generate queries and a document language model to generate documents. The documents are ranked according to the relative entropies of estimated document language models with respect to the estimated query language model. Two popular and relatively efficient smoothing methods, the Jelinek- Mercer method and the absolute discounting method, are used to smooth the document language model in estimation of the document language, A combined model composed of the feedback document language model and the collection language model is used to estimate the query model. A performacne comparison between the new retrieval method and the existing method with feedback is made, and the retrieval performances of the proposed method with the two different smoothing techniques are evaluated on three Text Retrieval Conference (TREC) data sets. Experimental results show that the method is effective and performs better than the basic language modeling approach; moreover, the method using the Jelinek-Mercer technique performs better than that using the absolute discounting technique, and the perfomance is sensitive to the smoothing peramters. 相似文献
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轨道质量指数(TQI)检测数据通常为非等时距,采集的数据如缺乏修正和分类去噪处理会极大影响最终的预测精度,目前关于此类研究较少,尤其是去噪方法研究.结合T QI轨道质量指标,在对动静态检测方法进行比较的基础上,选取京广下行线开行轨检列车进行轨道不平顺动态检测.针对收集到的轨道病害检测数据,提出不良数据筛选原则及修正方法,引入卡尔曼(Kalman)滤波法对数据进行去噪,并在京广下行线验证去噪处理效果.结果表明:Kalman滤波效果较好,实时性强,能够有效去除高斯噪声及非高斯噪声,以Kalman滤波去噪为导向的线路精调后所得T QI指标优于未采用该方法的线路指标.最后,针对京广线检测到的轨道病害提出可行整修措施,为现场线路维护工作提供理论指导与依据. 相似文献
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