迅速掌握8088/8086指令系统的教学方法

介绍了一种快速掌握汇编语言指令系统的方法,对学生学习汇编语言程序设计有一定的帮助。     

基于窄带水平集的曲线演化与左心室MRI图像分割

文章研究了基于窄带水平集的曲线演化方法并应用于心脏的MRI图像分割。分析了窄带的生成技术,提出了基于模板的距离函数生成方法;针对MRI图像的特点,给出了一种分割MRI图像的水平集速度函数,以处理图像中出现的区域灰度不一致性以及弱边界现象。MRI图像的分割实验证明了该文算法的有效性。     

一种基于Rough集的属性值约简算法

文章将Rough集理论应用于不同类型的决策表(一致决策表和不一致决策表)的约简,给出了广义决策、决策规则的一致程度、属性值重要性等定义,在此基础上提出了一种基于Rough集的属性值约简算法。该算法不仅能得到更为简洁的决策规则,而且能保持决策规则的一致程度不变。实例分析表明该算法是可行的。     

复合型智能预测分析系统框架研究

提出了多元支持向量机思想及其实现过程,并将其与粗糙集与神经网络相结合,提出一种复合型智能预测分析系统框架。首先利用粗糙集对预测的原始数据进行处理,并从中发现隐含知识,然后提出了多元支持向量机,能够有效地对两种以上类型的数据进行精确分类。将两者与神经网络有机地结合起来,构成一种复合型预测分析系统,从而为决策分析提供一种新的方法。     

JAVA新类库中Swing的事件传送机制

ＳＵＮ公司最新发布的一套ＡＰＩ中的Ｓｗｉｎｇ组件集采用了ＭＶＣ结构，其中Ｍ、Ｖ、Ｃ三者间的事件传送及与外界的通信机制相当重要。本文从Ｓｗｉｎｇ的组件如何响应外部事件、如何处理自身的变化及如何把自身变化传递给外界三个方面详细阐述Ｓｗｉｎｇ的事件传送机制。     

Causal fault detection and isolation based on a set-membership approach

This paper presents a diagnostic methodology relying on a set-membership approach for fault detection and on a causal model for fault isolation. Set-membership methods are a promising approach to fault detection because they take into account a priori knowledge of model uncertainties and measurement errors. Every uncertain model parameter and/or measurement is represented by a bounded variable. In this paper, detection consists of verifying the membership of measurements to an interval. First order discrete time models are used and their output is explicitly computed with interval arithmetic. Fault isolation relies on a causal analysis and the exoneration principle, which allows focusing the consistency tests on simple local models. The isolation strategy consists of two steps: performing minimal tests found with the causal graph and determining on line additional relevant tests that reduce the final diagnosis. An application for a nuclear process is used in order to illustrate the method's efficiency.     

消元法在开链机器人运动学逆解中的应用

用指数积公式法表示开链机器人的运动学方程,将吴消元法引入运动学逆问题的求解。通过吴消元法的特征列思想和符号运算的结合,实现了开链机器人运动学逆解的解析计算。结合实例说明了吴消元法在开链机器人运动学逆问题求解中的有效性。     

Z6190Z_LD_K沼气发电机组的研制

本文介绍了由C6190ZL柴油机改制为单一燃料(沼气)发动机,并配置成发电机组的研制开发过程,论述了其结构特点、主要性能以及使用情况等。     

Pointwise multi-valued fusion

Assessment and improvement of data quality is a major challenge with any modern information source. An aspect of data quality that has gained a lot of interest in the past decades, is the detection and fusion of duplicate data. This paper contributes to the field of duplicate data fusion by investigating a framework of fusion functions. In particular, it is observed that multisets are a data structure for which little is known concerning fusion theory. Therefore, a class of multi-valued functions called pointwise fusion functions, is proposed and investigated. An extensive list of properties is defined in order to compare the behavior of multi-valued fusion functions. Some specific pointwise fusion functions are investigated with respect to the defined properties and they are evaluated in different fusion scenarios. Next, some quality measures are discussed and their usefulness in the different fusion scenarios is discussed.     

基于邻域粗糙集的大规模层次分类在线流特征选择

在分类学习任务中,数据的类标记空间存在层次化结构,特征空间伴随着未知性和演化性.因此,文中提出面向大规模层次分类学习的在线流特征选择框架.定义面向层次化结构数据的邻域粗糙模型,基于特征相关性进行重要特征动态选择.最后,基于特征冗余性进行鉴别冗余动态特征.实验验证文中算法的有效性.