钢轨激光强化车的研究

钢轨廓形修复主要采用打磨的方式,随着打磨次数的增加,钢轨的寿命急剧下降,设计了一种钢轨表面激光淬火车,采用激光淬火的方式对钢轨表面进行强化处理,能够有效提高钢轨的耐磨性,提升钢轨的使用寿命.     

A DYNAMIC FAULT TOLERANT ALGORITHM FOR IMPROVISING PERFORMANCE OF MULTIMEDIA SERVICES

MultimediaServiceshasdrawnmuchattention frombothindustrialandacademicresearchersdueto theemergingconsumermarketresultfromfaster developmentofnetworkbandwidthandhighavaila bilityofmultimediatechnologies,suchasinterac tivemultimedia,videoondemand(VOD),multi…     

微波辐射下芳氧乙酸的合成

芳氧乙酸是一类应用广泛的植物生长调节剂、除草剂、香料及药物中间体．利用微波辐射快速合成了一系列芳氧乙酸．目标产物的结构经红外光谱及熔点的测定得到了确证．该方法具有反应时间短、操作简便、副产物少、产率高、易纯化及环境友好等优点．     

浅吃水肥大船螺旋桨出水概率的试验研究

作者选择了双桨浅吃水肥大船型SM-8426、SM-8427和16,000吨常规船型作螺旋桨出水概率的试验研究,初步建立了双桨肥大船型桨盘面处相对运动的测量方法。同时,用耐波性理论计算程序作了螺旋桨出水概率的计算。两者的结果是相当接近的,均表明浅吃水肥大船型的螺旋桨出水概率要比16,000吨常规船小。     

IGBT模块功率循环能力与可靠性试验

为验证IGBT模块的可靠性,分析了IGBT模块的封装结构,并在传统IGBT模块功率循环试验的基础上建立新的模型,通过具体的试验得到IGBT模块功率循环后失效状况,并对该状况进行分析。相对传统IGBT寿命预测和可靠性评估,该功率循环的新方法更加贴合实际应用工况,对IGBT失效分析具有借鉴作用。     

ADAPTIVE AND ACTIVE COMPUTING PARADIGM FOR PERSONALIZED INFORMATION SERVICE IN DISTRIBUTED HETERONGEOUS ENVIRONMENT

Pull basedinformationservicesuchassearchengineandfull textretrievalserveusersinare trieval on demandmodewhenuserneedtofindwhathe/shewants .Howeverwiththeexplosivegrowthoftheinternettechniques,locatingrelevantinformationistimeconsumingandexpensive ,pushtechnologypromisesaproperwaytorelieveusersfromthedrudgeryofinformationsearching .Somecurrentcommercesoftwareor prototypesystemssuchasPointCastNetwork ,CNNNewswatch ,SmartPush,ConCallserveusersinapersonalizedway[1 3 ] ,whilerecommendationsyst…     

并行计算机990STAR—1的系统结构及其地震数据处理应用

分析了分布式并行处理系统９９０ＳＴＡＲ－１的系统结构特征，讨论了它的操作运行环境，剖析了在这种多处理器同步系统上实现异步算法的缓冲机制，以地震数据处理为例，介绍它的应用现状及发展前景，对系统性能也作了评估分析。     

New Retrieval Method Based on Relative Entropy for Language Modeling with Different Smoothing Methods

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.