人体骨架模型的建立

人体运动分析在计算机视觉研究领域中具有广泛的应用前景。人体骨架包含了很多的人体运动信息,且简单明了,所以对人体骨架提取具有很重要的意义。本文提出了一种人体骨架模型的建立方法,该方法在骨架提取方面有较强的去噪和抗干扰能力,有很好的鲁棒性,可提取更加有效的骨架图像,进一步结合人体解剖学的基础,建立了人体骨架模型,为人体特征识别(HID)和运动人体的实时追踪打下了坚实的基础。     

一种十字形运动搜索算法

近几年,虽然运动估计算法有了很多种的快速算法,但是,运动搜索巨大的计算量依然是视频压缩速率的瓶颈,本文针对运动矢量的分布特点,提出了一种新的运动搜索算法,算法不仅结构简单,而且测试结果表明,该算法比原有DS9(dia-mondsearch)算法在搜索点数和图像质量方面有较大的提高,最好时的搜索点数只有DS算法的3/4。     

二元铁酸钙还原行为的研究

实验在合成CF2，CF、C2F的基础上，利用热台显微镜动态地观察了二元铁酸钙还原过程中的显微结构变化，考察了它们的还原性，还原前后的强度变化，结果表明C2F，CF．CF2还原性依次增强；CF2的抗压强度在还原度较低时有明显的下降，在还原度较高时随还原度的增加抗压强度增加；CF与C2F的抗压强度随还原度的提高而提高；CF2在还原过程中有明显的裂纹产生，裂纹的产生影响了CF2的强度。     

冶金期刊关键词标引简析

论述了科技论文中的关键词在标引前需对论文进行主题分析，确定标引要点。分析冶金类期刊关键词标引中易出现的有代表性的问题。     

Using immune genetic algorithm based hybrid techniques for short-term unit commitment problem

This paper presents a hybrid chaos search (CS), immune algorithm (IA)/genetic algorithm (GA), and fuzzy system (FS) method (CIGAFS) for solving short-term thermal generating unit commitment (UC) problems. The UC problem involves determining the start-up and shut-down schedules for generating units to meet the forecasted demand at the minimum cost. The commitment schedule must satisfy other constraints such as the generating limits per unit, reserve, and individual units. First, we combined the IA and GA, then we added the CS and the FS approach. This hybrid system was then used to solve the UC problems. Numerical simulations were carried out using three cases: 10, 20, and 30 thermal unit power systems over a 24 h period. The produced schedule was compared with several other methods, such as dynamic programming (DP), Lagrangian relaxation (LR), standard genetic algorithm (SGA), traditional simulated annealing (TSA), and traditional Tabu search (TTS). A comparison with an immune genetic algorithm (IGA) combined with the CS and FS was carried out. The results show that the CS and FS all make substantial contributions to the IGA. The result demonstrated the accuracy of the proposed CIGAFS approach.     

基于Ontology的个性化元搜索引擎研究

文中提出了一种新的基于Ontology的个性化元搜索引擎系统模型，包括基于Ontology的用户描述文件的表达方法和自动隐式学习算法，以及基于Ontology的查询结果合成算法，全面地描述了系统三层结构以及用户个性化搜索处理过程。     

网络环境下信息搜集、检索与报道服务

为读者提供信息服务是图书馆的一个重要职能,网络环境为信息资源开发服务提供了新的技术手段和服务环境.通过全面分析信息服务的特点,提出了现代图书馆在网络环境下做好信息搜集\检索\报道的方法.     

模糊理论与BP网络在目标识别中的应用

针对利用神经网络进行目标识别时特征向量选取中存在的一些问题：如特征向量选取不当，导致不同目标特征向量值可区分性差；相同目标由于大小、平移、旋转角度的不同，导致特征向量值具有较大差异等，首先对样本图像边缘提取，然后对已有的隶属函数进行改造，提出了一种基于模糊理论的阈值分割法，把图像二值化处理，提取出样本图像中目标的边缘轮廓，对其取不变矩．并归一化不变矩．为了避免不变矩数值过小，对其取对数，以此作为BP网络的输入特征向量，进行训练和识别．试验表明该方法能快速有效地识别出目标．     

Emotional Devaluation of Distracting Patterns and Faces: A Consequence of Attentional Inhibition During Visual Search?

Visual search has been studied extensively, yet little is known about how its constituent processes affect subsequent emotional evaluation of searched-for and searched-through items. In 3 experiments, the authors asked observers to locate a colored pattern or tinted face in an array of other patterns or faces. Shortly thereafter, either the target or a distractor was rated on an emotional scale (patterns, cheerfulness; faces, trustworthiness). In general, distractors were rated more negatively than targets. Moreover, distractors presented near the target during search were rated significantly more negatively than those presented far from the target. Target-distractor proximity affected distractor ratings following both simple-feature and difficult-conjunction search, even when items appeared at different locations during evaluation than during search and when faces previously tinted during search were presented in grayscale at evaluation. An attentional inhibition account is offered to explain these effects of attention on emotional evaluation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

瓦楞纸箱辅助决策和设计系统的开发

从行业特点和软件工程的角度出发,系统的研究了瓦楞纸箱辅助决策和设计理论.采用编码技术、三维搜索方法等解决了相似方案检索和纸箱优化设计问题.利用AutoCAD二次开发技术和COM技术完成了图形的显示和设计结果的输出.