比喻义的训释与比喻义的形成--《现代汉语词典》比喻义计量研究之一

运用计量统计的方法,分析了<现代汉语词典>(1983年版)中2488条比喻义的释义特点及所反映的词义性质.概括出了六种释义类型,反映出两种不同性质的比喻义固定比喻义与语境比喻义.固定比喻义是指已经凝固为稳定词义成分的比喻义,已成为词典释义中的一部分.语境比喻义是指靠具体上下文来显示的比喻义,以例句的形式来体现.<现代汉语词典>对比喻义的处理方法在词汇学与词典学有着独到的贡献再现了词义形成、稳定的过程;扩大了规范语文词典反映语言事实的范围,加强了语文词典的"引导"功能;丰富了词典的编纂技巧,完善了语文词典的表现手段.     

工科大学物理实验教学模式的探讨

主要阐述在做好基础实验的基础上 ,同时开设综合实验 ,进而鼓励应用计算机软件进行设计性实验。提出撰写实验报告的能力是实验教学不可忽视的教学环节 ,以最终趋向于“实践型、设计型”为目标来探讨工科物理实验教学模式     

曲线要素调整在线路局部纠偏或优化中的应用

介绍了在工程设计、施工测量时如何根据现场需要合理对局部线路做曲线参数地调整,使线路从设计上能够避开地质病害,从施工上能通过调整线形参数解决因局部结构物偏位造成的影响.     

论和谐高校的法治构建

和谐高校的法治构建必须注重民主政治制度建设,注重高等教育和高校公平,注重高校和谐内外环境建设,培育学校管理者和师生员工规则意识。     

基于语义的Web信息检索改进模型

目的针对传统W eb信息检索模型的不足,提出一种基于语义的W eb信息检索模型。方法模糊相关技术、Ontology及W eb挖掘技术。结果建立了一种五元组的语义信息检索模型,并给出了该模型的关键实现算法。结论利用此模型实现的信息检索系统进行信息检索时具有更高的准确率和查全率。     

一种多线结构光测头的误差补偿方法

针对在多线结构光测量系统中光平面不等距和不平行引起测量误差的问题,提出了一种基于标准三角块的误差补偿方法.通过分析测量误差产生的原因,建立了光平面平行度、光平面间距与测量误差之间关系的数学模型,将测头产生的结构光条投射到一个标准三角块斜面上,利用三角块斜面的几何变换能力将光平面平行度、光平面间距的信息转换到系统可以进行精确测量的光平面当中.通过CCD采集和数学计算,可以得到准确的各光平面平行度和光平面间距的误差数据,并根据得到的误差数据对测得的原始数据进行补偿修正,由实验证明了该方法在对阵列式多线结构光测头结构误差补偿后,测量得到的数据精度可以提高约40%.     

一种运动背景下目标快速定位方法

针对运动背景下目标检测算法计算量大,难以实现实时跟踪的问题,提出了一种目标快速定位方法.该方法采用图像配准补偿背景运动量,由多帧图像差分消除背景图像获得目标图像,通过自适应阈值对目标图像二值化,用形态学处理消除噪声斑点,最后通过连通区域像素个数统计判决,进一步去除伪目标,最终定位目标区域.试验结果表明该方法能在2-6 ms内准确定位平移运动背景下的目标.     

CO2激光器在大学物理实验教学中的应用

介绍了CO2激光器的发展情况,说明了CO2在大学物理实验教学中的应用,CO2激光器实验对于培养学生的科学素质是非常有益的,并阐述了教学与科研二者之间的内在关系.     

Research on Bayesian Network Based User＇s Interest Model

It has very realistic significance for improving the quality of users＇ accessing information to filter and selectively retrieve the large number of information on the Internet. On the basis of analyzing the existing users＇ interest models and some basic questions of users＇ interest （representation, derivation and identification of users＇ interest）, a Bayesian network based users＇ interest model is given. In this model, the users＇ interest reduction algorithm based on Markov Blanket model is used to reduce the interest noise, and then users＇ interested and not interested documents are used to train the Bayesian network. Compared to the simple model, this model has the following advantages like small space requirements, simple reasoning method and high recognition rate. The experiment result shows this model can more appropriately reflect the user＇s interest, and has higher performance and good usability.     

Preparation of 3-D porous fibroin scaffolds by freeze drying with treatment of methanol solutions

In this study, silk scaffolds with appropriate porous structures were prepared by adjusting solution concentrations and providing treatment with methanol solutions in the way of freeze drying. The effects of the preparation conditions on the microstructures and properties of the scaffolds were discussed. Fibroin solutions with different concentrations of 4, 6, 8, 10 wt% were used respectively to prepare the scaffolds. The effects of the addition of 20 vol% methanol before or after freeze drying to the 4 wt% fibroin solution were investigated. As demonstrated by Scanning Electron Microscope (SEM), the fib-roin scaffolds prepared without methanol had porous microstructures composed of thin sheets, and the sizes of the pores decreased with the increase of the fibroin solution concentrations, while the scaffolds prepared in the presence of methanol showed porous microstructures formed by fine-particle aggregates. The porosities and mechanical properties of the prepared fibroin scaffolds under different conditions were tested. The crystalline structures and conformations of the fibroin scaffolds were detected by Fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD).