分布式光纤喇曼放大技术及其在WDM系统中的应用

介绍了分布式光纤喇曼放大技术的原理、特点和应用 ,并从受此影响的 WDM传输系统的信噪比、噪声指数和品质因数三个方面讨论了光纤喇曼放大技术在提升光纤通信系统性能方面的重要作用。     

钛及其合金在化学及石油化学工业中的应用

钛及其合金可用于制造化学和石油化学工业中的各种设备。这是因为钛及其合金具有优异的机械性能、良好的耐腐蚀性能、生物惰性等特点。腐蚀问题是化学工业中最突出的问题之一 ,利用各种新型耐腐蚀材料 ,是解决腐蚀问题的最有效方法。因为工程纯钛的机械性能和耐蚀性能取决于氧、氮及铁之类杂质的含量 ,所以要根据机械和腐蚀化学要求选择具有各种不同强度性能的钛及其合金。杂质成分对钛的加工或应用时的可塑性有影响。压力容器应用的钛材有较高的强度要求 ,但是用作衬里及零部件时要经受较大的变形 ,因而要选择具有杂质含量少、强度较低而塑…     

从菜西瓜中提取果胶的最佳工艺研究

为确定从菜西瓜中提取果胶的最佳工艺条件,以山西省临汾市菜西瓜为材料,采用酸法进行了提取果胶的试验研究。正交试验结果表明:在萃取时间为45min的前提下,从瓜瓤中提取果胶的最佳工艺条件是加水量为原料重量的4倍,85℃下,添加原料重量0.3％的多聚磷酸钠,果胶得率可达2.03％;从外果皮中提取果胶,加水量为原料重量的4倍,75℃下,添加原料重量0.7％的多聚磷酸钠,果胶得率可达2.98％。     

锥形件冲孔模设计

分析了锥面斜孔冲裁的工艺性,介绍了一种新型的锥形件冲孔模结构。实践证明,该模具结构合理,生产的制件可以满足使用要求。     

地球物理与中国的可持续发展

在20世纪中国的发展历程中,地球物理在资源探查、环境保护和减轻自然灾害服务等诸多方面发挥了举足轻重的作用。21世纪,中国走可持续发展之路已成为必然选择。随着可持续发展思想及内涵的逐渐丰富,地球物理必将为中国的可持续发展起到更大作用。     

深孔薄壁件挤压模CAD系统

介绍了利用ActiveXAutomation技术，以VB为开发工具，并采用参数化绘图研究开发的深孔薄壁件挤压模CAD系统。     

用迭代法消除数字图像放大后的模糊

用迭代法对数字图像经过插值放大后产生的模糊问题进行了研究，把数字图像插值放大造成的模糊看成是点扩散函数与清晰图像卷积的结果，根据插值算法可以得到点扩散函数，由于数字图像解卷积是典型的解线性方程组的问题，用雅可比（Jacobi）迭代法得到了很好的结果。与频谱空间变换的方法相比，迭代法没有分母为0的问题和空间变换过程造成的舍入误差。     

Discrete singular convolution and its application to the analysis of plates with internal supports. Part 2: Applications

Part 2 of this series of two papers presents the applications of the discrete singular convolution (DSC) algorithm. The main purpose of this paper is to explore the utility, test the accuracy and examine the convergence of the proposed approach for the vibration analysis of rectangular plates with internal supports. Both partial internal line supports and complex internal supports are considered for 21 square plates of various combinations of edge support conditions. The effects of different size, shape and topology of the internal supports and different boundary conditions on the vibration response of plates are investigated. The partial internal line supports may vary from a central point support to a full range of cross or diagonal line supports. Several closed‐loop supports, such as ring, square and rhombus, and their combinations are studied for complex internal supports. Convergence and comparison studies are carried out to establish the correctness and accuracy of the DSC algorithm. The DSC results are compared with those in the available literature obtained by using other methods. Numerical results indicate that the DSC algorithm exhibits controllable accuracy for plate analysis and shows excellent flexibility in handling complex geometries, boundary conditions and support conditions. Copyright © 2002 John Wiley & Sons, Ltd.     

熔融-固相缩聚法中固相聚合对聚乳酸合成的影响

以L 乳酸单体为原料 ,熔融 -固相缩聚法合成了聚乳酸 ,重点研究了固相聚合的工艺条件。结果表明 ,绝对压力 60Pa ,氯化亚锡为催化剂 ,分段控温 ,可使聚乳酸的粘均分子量提高到固相聚合反应前的 5 3倍。通过对固相聚合产物的结晶度和熔点的分析 ,探讨了固相聚合的机理。     

Automatic conversion from lexical words to prosodic words for mandarin text-to-speech system

In real speech, not like lexical words (LWs), prosodic words (PWs) are basic rhythmic units. The naturalness of a Text-to-Speech (TTS) system is directly influenced by the segmentation of the PWs. Most of the PWs are the combination of several LWs. In this paper, three Lexical Combination Models are proposed to combine LWs into PWs, including a Directed Acyclic Graph Model, a Segmentation Model and a Markov Model (MM). To cope with the situation where some long LWs should be segmented into two or more PWs, a Lexical Split Model (LSM) is applied to the long LWs. Experimental results prove that relatively constant results with various training data can be obtained from a MM. The Transformation-Based Error Driven Learning (TBED) algorithm, for its high performance of individual property, is applied in combination with the MM to improve the precision of PW segmentation. Experiments show that among the three proposed models, the MM combined with TBED and LSM, leads to the best performance, in which a precision of 93.00% and a recall of 93.23% are achieved. The perception test indicates that by using PWs as the lowest prosodic units a speech sounds more natural and acceptable than by using LWs. This paper is supported by NSFC Project (60503071); 973 Natural Basic Research Program of China (2004CB318102); Postdoctor Science Foundation of P. R. China (20070420275).