线性分组码的神经网络译码

介绍了神经网络与线性分组码之间的关系，并在文献[1]的基础上证明了软判决译码与求解能量函数最大值之间的等价性，然后以(7，4，3)汉明码为例介绍了神经网络在循环码硬判决、软判决译码中的应用。     

尖晶石型软磁铁氧体纳米材料的制备研究进展

介绍了软磁铁氧体纳米材料的特性,综述了近年来具有尖晶石结构的软磁铁氧体纳米材料的制备方法。其中包括:化学共沉淀法,水热法,溶胶-凝胶法,喷雾热解法,微乳液法,相转化法,超临界法,冲击波合成法,微波场下湿法合成,爆炸法,高能球磨法,自蔓延高温合成法等。详细介绍了各种制备方法的特点,研究进展及其发展趋势。     

A Multi-View Face Recognition System

In many automatic face recognition systems,posture constraining is a key factor preventing them from application.In this paper a series of strategies will be described to achieve a system which enables face recognition under varying pose.These approaches include the multi-view face modeling,the threschold image based face feature detection,the affine transformation based face posture normalization and the template matching based face identification.Combining all of these strategies,a face recognition system with the pose invariance is designed successfully,Using a 75MHZ Pentium PC and with a database of 75 individuals,15 images for each person,and 225 test images with various postures,a very good recognition rate of 96.89% is obtained.     

激光微焊接质量的模糊识别技术研究

讨论了激光微焊点焊接质量的模糊识别的概念，数学模型及其应用方法，并介绍了系统的硬件组成。     

粉喷桩及其应用

简介了目前采用的粉喷桩的基本工作过程。叙述了水泥粉喷桩的加固机理：①水泥的水解和化学反应；②离子交换和团粒化作用；③水泥的凝结与硬化；④碳酸化反应。介绍了粉喷桩的应用范围，并结合工作概况、场地概述、地基加固方案选择、粉喷极的设计和质量检查等具体过程给出粉喷桩的具体应用实例。     

高速公路各种软基处理工后沉降的试验研究和分析

从地质条件、软基处理和现场试验等几方面，对排水固结法中的超载预压和真空预压，复合地基法中的粉喷桩和CFG桩等处理的效果进行了系统的试验研究和分析，为类似工程提供了可借鉴的经验。     

混凝土芯砂石桩复合地基加固堤防软基试验研究

介绍了一种新型的地基处理方法——混凝土芯砂石桩复合地基法及其在水利防洪堤软基加固工程中的应用情况。通过现场原位观测和试验,研究了混凝土芯砂石桩复合地基固结变形、孔压消散、桩土应力分担及承载力特性,结果表明混凝土芯砂石桩强度高,排水固结能力强,能迅速提高桩间土强度和承载力,应用于水利堤防工程既能控制堤防深厚软基的工后沉降,又能提高堤防边坡的稳定性,推广应用前景良好。     

多点驱动的上运带式输送机功率平衡的研究

介绍了液粘装置的转矩特性方程,分析了采用液体粘性软起动装置调节功率平衡的原理,并说明了如何从电气上实现该功能。最后通过应用实例表明,应用液粘装置调节功率平衡达到了理想的效果。     

20CrMnTiH钢水口堵塞机理研究与解决措施

研究了转炉生产20CrMnTiH钢时连铸水口堵塞的机理，主要通过精炼造CaO—Al2O3-SiO2-CaF2系渣，保持熔渣良好的流动性和高碱度、低熔点、低氧化铁，提高吸附夹杂能力并针对引起水口堵塞的物质，对钙处理、软吹及进站S含量进行严格的要求，成功解决了水口堵塞问题。     

Teaching-Material Design Center: An ontology-based system for customizing reusable e-materials

Use of electronic teaching materials (e-material) to support teaching is a trend. e-Material design is therefore an important issue. Currently, most e-material providers offer a package of solutions for different purposes. However, not all teachers and learners need everything from a single package. A preferable alternative is to find useful material from different packages and combine them for a particular course. Currently, most educators collect the material manually, which is time-consuming and may result in missed material. In this paper, we describe a system – the Teaching-Material Design Center, which follows the standard of Sharable Content Object Reference Model – to separate e-material for use as teaching templates and learning objects and to label the material with use of semantic metadata for searching. This system can find existing teaching templates and learning objects for e-material designers and provide a convenient environment for constructing customized e-material for different requirements. We describe the implementation and evaluation of the proposed system for a course. Our system is efficient in finding teaching templates and learning objects and shortening the e-material development process.