理化检验样品中铅,铜测定的微波消化条件探讨

报道了利用微波消化检验样品的基本原理，并介绍了利用民用微波炉，聚四氟乙烯高压罐消化样品的操作方法及最佳消化条件。经微波消化的消化液。应用原子吸收法测定其中的铅和铜，并做了回收率实验。测定结果变异系数铜：２．０％－４．５％，铅：２．５％－３．８％。回收率铜９８．０％－９９．０％，铅：９６．０％－９９．５％。     

电力机车整流机组器件结温计算

机车运行在任何场合器件结温不得超过额定值，这是整流机组正常运行的必要条件，以ＳＳ６型电力机车整流机组起动过程结温计算为例，提供了计算方法，供有关专业人员设计、计算、故障分析时参考。     

A review of the effect of a/W ratio on fracture toughness (Ⅲ)——theoretical analysis

In partⅠandⅡof this series, experimental investigation in both EPFM and LEFM had been discussed. In this part, further theoretical analysis is given. The theoretical development of Two Parameter Fracture Mechanics by Hancock etc, has rationalized our experimental results. This method can be applied to engineering practice, and will allow the advantage of enhanced toughness for specimens with low levels of constraint to be taken into account for defect assessment.     

铁路无缝道岔计算理论的优化探讨

针对铁路无缝道岔当量阻力法计算理论的不足,通过对无缝道岔理论的深入探讨,优化和完善了无缝道岔的计算理论,并通过理论与实验测试的对比,验证了优化后理论和方法的正确性,为我国高速铁路进一步发展跨区间无缝线路奠定基础。     

细胞内记录动作电位测定蛙单根有髓神经纤维强度—时间关系

本文介绍了一种简单的细胞内记录蛙有髓神经纤维动作电位方法。将该方法用于测定神经纤维阈刺激的强度-时间关系,所得结果能够满足一般科研及教学工作的需要。     

多功能程控心脏起搏器120例临床应用

本文总结我院自1984年来使用的120例多功能程控心脏起搏器,其中VVI114例,DDD5例,DVI1例。通过对其中95例进行的162决程控,认为在置入术后适时地合理地程控,可以纠正起搏器的部分合并症、消除症状、节约电能、延长起搏器的使用寿命、减少更换起搏器次数。相信这类起搏器定会得到更加广泛的临床应用。     

圆梁山隧道高压富水区充填型溶洞注浆技术

介绍圆梁山隧道平导高压富水区充填型溶洞的注浆和超前支护方案、注浆材料及注浆工艺 ,并针对注浆效果评定标准进行探讨     

30Cr MnSi A钢亚温淬火时组织形态的观察

研究了30CrMnSiA钢亚温淬火前原始组织及加热速度对亚温淬火所获复合组织形态的影响,亚温淬火可获得针状,颗粒状和类针状复合组织,各种形态的复合组织中,未溶铁素体均分布于奥氏体晶界上,对加热保温过程中奥氏体的晶粒长大起阻碍作用,类针状复合组织中的铁素体和奥氏体晶粒的尺寸均比大颗粒状复合组织的细小,而与小颗粒状复合组织的相当,因此,与具有最佳强韧性的针状复合组织相比较,类针状复合组织的获得将有可能在保证强韧性不降低的条件下,简化热处理工艺。     

FAULT IDENTIFICATION IN HETEROGENEOUS NETWORKS USING TIME SERIES ANALYSIS

Fault management is crucial to provide quality of service grantees for the future networks, and fault identification is an essential part of it. A novel fault identification algorithm is proposed in this paper, which focuses on the anomaly detection of network traffic. Since the fault identification has been achieved using statistical information in management information base, the algorithm is compatible with the existing simple network management protocol framework. The network traffic time series is verified to be non-stationary. By fitting the adaptive autoregressive model, the series is transformed into a multidimensional vector. The training samples and identifiers are acquired from the network simulation. A k-nearest neighbor classifier identifies the system faults after being trained. The experiment results are consistent with the given fault scenarios, Which prove the accuracy of the algorithm. The identification errors are discussed to illustrate that the novel fault identification algorithm is adaptive in the fault scenarios with network traffic change.