LVQ神经网络在磁瓦表面缺陷分类中的运用

在基于磁瓦表面缺陷图像直方图、纹理、投影和形状的特征提取的基础上,提出了一种用LVQ神经网络进行缺陷分类的方法,对现场采集到的6种主要缺陷类型进行了试验。试验结果表明,基于LVQ神经网络的分类器训练与分类的时间短,多缺陷种类分类时准确率高。     

构件化信息系统开发方法研究

首先由传统的信息系统开发方式的缺陷引出了软件构件化概念,然后对构件的属性、构件开发标准规范、信息系统构件化开发方法进行了介绍,最后给出了一种信息系统构件化开发框架探讨信息系统的构件化开发方法。     

有章法的颠覆——论广告的创意与构思

从实用角度论述广告创意思维方式,着重对主题创意进行研究和探讨,分别对广告创意的基础,广告创意的思考方法,以及广告创意灵感的突破口这几个方面进行论述,以求取得创意提示,激发创意灵感,治疗创意萎缩。     

基于ARM9的说话人识别控制器的研究与实现

依据不同频率子带特征反应语音的不同细节的特征,将语音信号子带分别分成4子带层,2子带层,1子带层共三层子带,分别提取其MFCC特征参数,并采用容易实现的矢量量化（VQ）识别算法加以识别,最后将三层子带识别率融合的方式,实现基于ARM9的说话人识别控制器。     

浅谈当代壁画设计中的和谐本质

现代社会发展的方向是和谐,和谐这个概念又是很复杂的,它既可以应用在哲学领域,又可以应用在科学或艺术领域。本文主要从当代壁画设计的方方面面看它所贯穿其中的和谐本质。     

陕西西路皮影造型的流变

皮影在我国有着悠久的历史。相传自汉代就已产生,据可靠的史书记载最早见于宋代。陕西西路皮影最早出现在清初,到晚清进入鼎盛时期。从产生至今,西路皮影造型经历了漫长的传承和发展过程。进入21世纪后,皮影这一古老的民间艺术受到了现代传媒的巨大冲击,语境逐渐丧失,渐渐濒临消失的边沿。如何抢救、挖掘和整理这一宝贵的民间造型艺术,在今天仍具现实意义。     

Development of Self-Configuring Simulation System for Propelling AAA Fire Control

In this paper, the overall structure design of the Ethernet-based and distributed simulation system for propelling （AAA） fire control is proposed with introducing the concept of system self- configuring pattern. The advantage of this system self-configuring pattern is easy and flexible to configure the modules of the simulation system without doing much more reprogramming work, when the simulation system is needed to add or reduced the modules and simulation computers, and the scale of simulation system is needed to changed. Also the system is structured with standardized and modularized design procedures on the Windows OS platform.     

BP神经网络在蛋白质二级结构预测中的应用

蛋白质结构预测是生物信息学研究的重要问题,而蛋白质二级结构预测是蛋白质结构预测的关键步骤.文中通过BLAST工具得到Identity小于等于35%的46个蛋白质复合物的单链作为数据集,分别采用5位编码和Profile编码,通过不同大小的滑动窗口,对蛋白质二级结构进行预测.实验结果显示,富含"生物进化信息"的Profile编码有着明显的优势,各种精确度均得到了较好的结果,尤其是精确度QE明显高于5位编码的QE.     

网络虚拟实验室仪器建模分析与设计

重点分析了网络虚拟实验仪器的建模方法,包括仪器结构模型、端口结构模型以及仪器问交互控制关系模型.仪器结构模型分为原子仪器模型和复合仪器模型两大类,复合仪器模型由原子仪器模型通过某种特定的连接关系组合而成.端口结构模型是仪器完成自身功能的输入输出接口,也是仪器间进行交互的信息传输通道.仪器间交互控制关系模型管理一组实验中具有关联关系仪器之间的信息交互,协凋控制整个实验的运行.     

Toward the Proteome of the Human Peripheral Blood Eosinophil

Eosinophils (EOSs) are granular leukocytes that have significant roles in many inflammatory and immunoregulatory responses, especially asthma and allergic diseases. We have undertaken a fairly comprehensive proteomic analysis of purified peripheral blood EOSs from normal human donors primarily employing 2‐DE with protein spot identification by MALDI‐MS. Protein subfractionation methods employed included IEF (Zoom^® Fractionator) and subcellular fractionation using differential protein solubilization. We have identified 3141 proteins, which had Mascot expectation scores of 10^?3 or less. Of these 426 were unique and non‐redundant of which 231 were novel proteins not previously reported to occur in EOSs. Ingenuity Pathway Analysis showed that some 70% of the non‐redundant proteins could be subdivided into categories that are clearly related to currently known EOS biological activities. Cytoskeletal and associated proteins predominated among the proteins identified. Extensive protein posttranslational modifications were evident, many of which have not been previously reported that reflected the dynamic character of the EOS. This data set of eosinophilic proteins will prove valuable in comparative studies of disease versus normal states and for studies of gender differences and polymorphic variation among individuals.