智能天线对移动通信网性能的影响

智能天线是目前移动通信中的热点话题之一，也是提升网络容量和改善传输质量的关键技术。本文简要介绍了智能天线基本概念，原理及其在无线网络中的重大作用。     

超细水泥封堵技术

注水开发后期日益出现的地质问题及油套管的严重损坏,制约了油田的开发效果。针对河南油田注水开发中存在的上述问题,通过对超细水泥堵剂配方、堵剂性能、适应性等方面的研究,可实现对油井的高含水层、注水井的停注无用层、油水井套管外窜槽、穿孔、丝扣处的漏失等方面的封堵,取得了显著效果。自1998年8月-2001年12月在河南油田应用61井次,有效率85.3%,其中油井36井次,年度累计增油1.441×104t,降水7.6123×104m3;水井封堵25井次,累计增注14.32×104m3,控制无效注水16.95×104m3,创效益1800多万元,投入产出比达1:11.36,具有广泛的推广应用价值。     

分析型全蒸发器在啤酒挥发性成分测定中的应用

综述了分型全蒸发器技术在啤酒发酵过程中的应用状况，并介绍了分析型全蒸发器模型结构及与之配合使用的连续多分支管。     

A concise process technology for 3-D suspended radio frequency micro-inductors on silicon substrate

In this letter, a concise process technology is proposed for the first time to enable the fabrication of good quality three-dimensional (3-D) suspended radio frequency (RF) micro-inductors on bulk silicon, without utilizing the lithography process on sidewall and trench-bottom patterning. Samples were fabricated to demonstrate the applicability of the proposed process technology.     

几种数据压缩算法的比较

对几种数据压缩算法进行了总结,并针对实验数据表对其压缩率进行了比较。     

定向棱镜腔平顶高斯激光束特性的研究

在XeCl准分子激光器中,采用定向棱镜作为端反射镜与平面输出镜构成激光器谐振腔,获得了近场能量分布均匀、远场能量分布高度集中的相干平顶高斯激光束输出,并具有腔镜高抗失调能力,改善了激光束质量。     

莱钢中小型连轧生产线技术装备状况及改进

介绍了莱钢引进的具有 90年代国际先进水平的中小型型钢连轧生产线的工艺、设备特点及主要技术参数 ,以及对原机械设备、电气及工艺备件的改进和新产品开发情况 ,均取得良好效果。     

电子技术实验教学中科学素质与创新能力的培养

分析了当前高校电子技术实验教学中存在的一些问题，总结和介绍了作者在电子技术实验教学改革中针对提高学生科学素质和创新能力所做的一些工作尝试，并对进一步改革电子技术实验教学提出了设想。     

FindOut: Finding Outliers in Very Large Datasets

Finding the rare instances or the outliers is important in many KDD (knowledge discovery and data-mining) applications, such as detecting credit card fraud or finding irregularities in gene expressions. Signal-processing techniques have been introduced to transform images for enhancement, filtering, restoration, analysis, and reconstruction. In this paper, we present a new method in which we apply signal-processing techniques to solve important problems in data mining. In particular, we introduce a novel deviation (or outlier) detection approach, termed FindOut, based on wavelet transform. The main idea in FindOut is to remove the clusters from the original data and then identify the outliers. Although previous research showed that such techniques may not be effective because of the nature of the clustering, FindOut can successfully identify outliers from large datasets. Experimental results on very large datasets are presented which show the efficiency and effectiveness of the proposed approach. Received 7 September 2000 / Revised 2 February 2001 / Accepted in revised form 31 May 2001 Correspondence and offprint requests to: A. Zhang, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA. Email: azhang@cse.buffalo.eduau