寒区沥青胶浆延性研究

首交提出了沥青胶浆延工的概念，并测定、分析了两种寒区沥青、四种粉胶比在四个温度下的沥青胶浆延度。认为沥青胶浆延度较沥青延度更能反映沥青混合料的流变性能，而且胶浆延度与温度、粉胶比之间有很好的相关性。     

燃气脉冲吹灰技术在催化裂化装置余热锅炉上的应用

吉化炼油厂催化裂化装置余热锅炉受热面采用螺旋翅片管结构，积灰严重，在第七0三研究所的积极参与合作下，哈尔滨哈宜电站设备研究研制开发了燃气脉冲吹灰装置系列产品，并应用于吉化炼油厂催化装置余热锅炉。应用结果表明，燃气脉冲吹灰装置每爆燃一个循环，余热锅炉排烟温度降低15－20℃，锅炉蒸汽产量增加1t/h，余热利用率提高3．4个百分点。     

Bandpass filters using periodically loaded combline resonators

A novel combline filter is proposed for cellular‐radio base stations. The Q‐factor is significantly improved. The eigenvalue equation is expressed with the single‐team approximation in the gap region of the combline resonator. A two‐pole combline filter is designed. The calculation, simulation, and experiment results are presented and are in good agreement. © 2005 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006.     

企业培训中心的六个主要特征

提出企业培训中心的本质特征,并以此为基点阐述企业培训中心的六个主要特征;通过对企业培训中心的使命、培训对象的确定、培养目标、培训内容、组织设置、组织发展的分析,力求揭示企业培训中心组织构建和发展的自身规律。     

关于广义函数δ(x)的讨论

本文应用《电气子教学学报》之邀约而写，旨在针对一些读者对该韩过去刊出的有关广义函数δ(x）的文章中的质疑，从数学角度提供一些有助于正确认识、处理和运用广义函数的辅助材料。     

平面近场测试系统在天线测试和诊断中的应用

介绍了天线近场测量的基本原理和HD-1型平面近场测试系统,并对近场测量在实际天线测试中的应用情况、发展方向和应用前景等作了简单的描述。     

FCC原料掺入裂解焦油的研究及其机理分析

在催化裂化固定流化床小试装置上，对裂化原料中掺入富含芳烃的添加剂－裂解焦油进行了考察，确定了添加剂的最佳掺入量为1％，与不掺添加剂的裂化原料相比，其汽油产率提高，生焦量和干气产率减少，汽油选择性变好。同时通过对添加剂的原料体系的结构研究，对添加剂影响催化裂化过程的机理进行了探讨。     

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).