高速公路交通控制与管理运营模式

就高速公路的交通控制与管理的总体结构进行进行了简要地分析,并简单的概括了当前我国进行高速公路交通控制的对策、运营体系的现状以及问题。     

Chaff cloud jamming suppression based on wavelet transform

Radar target signals and chaff cloud jamming signals have different characters by the wavelet transform. The wavelet coefficients of radar target signals are highly correlated with its near-and-near-scale wavelet coefficients, however the correlativity between the wavelet coefficients of chaff cloud jamming signals and its near-and-near scale wavelet coefficients is less significant. Based on the binary-base discrete wavelet transform and the correlation algorithm, the method of target entropy to estimate standard variance of the jamming signals and each scale is proposed to ensure reasonable threshold, to suppress chaff cloud signals and finally to reconstruct mixed signals by the improved spatially selective noise filtration (ISSNF) method. The extensive simulation results show that the proposed method can availably suppress chaff cloud jamming and decontaminate target echo.     

汽油机直喷起动建模与分析

为了解决汽油机直喷起动过程中缸压、放热率等重要参数难以通过发动机试验获得的问题,建立详尽的发动机动力学模型描述膨胀缸喷油点火后的过程,并通过试验标定验证了模型的准确性。利用该模型对直喷汽油机的起动过程进行了分析,结果表明,起动的最有利初始位置是压缩上止点后100°～130°,对起动过程影响程度从高到低的因素依次是摩擦、压缩缸压缩气体损失、传热、漏气,而泵气损失可忽略不计。     

基于使用者角度进行涂装车间的规划

文章从使用者角度对涂装车间几个细节方面的规划问题进行简要的分析概括。     

某客车驱动桥螺旋锥齿轮早期打齿原因分析

针对某客车车桥螺旋锥齿轮崩齿进行失效分析,运用扫描电镜、能谱仪、金相显微镜等分析裂源处的断口形貌、化学成分、金相组织及硬度等,同时结合锥齿轮副的齿面啮合印迹,指出被动锥齿轮断口起裂源处大的Ca和Al的氧化物夹渣,即炼钢过程形成的水口结疤缺陷,是导致其早期失效的主要原因,并提出通过严格控制钢材冶炼过程中炉外精炼、连铸工艺过程等各项工艺参数,严格控制钢材中氧含量不超过15×10^-6等措施,有效防止了该故障发生。     

LAPPED TRANSFORM DOMAIN INTERFERENCE EXCISION USING MODIFIED MEDIAN FILTER

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某前轴转向节主销早期断裂原因分析

针对近期频出的转向节主销断裂问题,文章通过对比各类转向桥的故障率及失效形貌,得出主销与主销孔在使用中发生微动磨损,在主销表面产生微裂纹,最终引起主销疲劳断裂。通过采用42CrMo表面感应淬火主销代替原有的20CrMnTi渗碳淬火处理,增加了淬硬层的强韧性,其表面残余压应力较高,有效提高主销微动疲劳抗力,显著降低了转向节主销的早期断裂售后故障。     

铁基粉末冶金导管防锈油

本文介绍了新研制的铁基粉末冶金导管防锈油。这种防锈油不仅能满足铁基粉末冶金导管浸油要求的各项技术指标,而且能提高导管的防锈能力。     

IMPLEMENTATION OF GRADIENT-BASED ESTIMATION OF HMM PARAMETERS

IntroductionIn Hidden Markov Model ( HMM) - basedspeech recognition systems,it is very importanttoset the parameters of HMMs correctly.Conven-tional training algorithms such as Baum- Welch al-gorithm,are based on the criterion of maximumlikelihood( ML) .The strength of Baum- Welch al-gorithm lies in its fast convergence andmonotonous improvement[1] . For other criteriasuch as maximum mutual information,however,such an algorithm does not exist.In this case,acommon resort is a gradient- b…