面向对象式软件的结构开发及其可复用性分析

该文讨论了面向对象式软件的特性、结构,进而提出了面向对象式软件的开发策略,论述了面向对象式软件的可复用性.     

当代气候的时间序列分析和模式特征

本文提出了一个近似描述当代气候的离散模式,考察了当代气候的演化趋势,论述了“三成份”模式和气候层次理论之间的一些联系。并讨论了“检测”三次方时间序列模式的一些特性,揭示了当代气候的演化和突变的一些数学机制。     

血液白细胞计算机分类中的特征提取研究

在所建的血液白细胞自动分类ＬＥＵＫ分析系统上，对每个细胞提取了不同性质的三组共３５个特征，包括７个形状参数、１２个光密度参数和１６个纹理参数。对１２００余六类白细胞样品进行了自动分类测试。实验结果表明：若仅用形态和光密度特征，总体识别率达８０％左右，其主要误识率来自于颗粒细胞的分类。而该文提出的纹理特征弥补这一不足，使系统的总体识别率提高了十个百分点。该文重点介绍这三组特征，并就其在白细胞自动识别分类中的作用进行详细讨论。     

铁山岩体地球化学特征及其找矿意义

通过长期的野外调查所掌握的地质资料和分析数据，从定性、定量上研究铁山岩体的地球化学特征．所论证的地球化学特征又恰好与岩体赋存的矿床的时空分布相吻合。从而揭示了岩体地球化学特征的找矿意义。     

高温晶闸管的研究

本文探讨了在半导体晶闸管(SCR)制造过程中,采用合理的工艺手段,提高SCR最高工作结温,并使之尽量达到理论值的方法.     

基于模糊推理的边缘检测

针对传统基于边缘邻域的一阶或二阶导数的图像边缘检测方法对模糊边缘图像不敏感的问题,提出了基于模糊推理的边缘检测算法.根据边缘点附近灰度分布的特征确定模糊规则,用min-max重心法模糊推理该点的边缘隶属度,实现边缘检测.实际图像处理结果表明,与传统算法相比较,新算法检测边缘效果明显.     

Rough set-based feature selection method

A new feature selection method is proposed based on the discern matrix in rough set in this paper. The main idea of this method is that the most effective feature, if used for classification, can distinguish the most number of samples belonging to different classes. Experiments are performed using this method to select relevant features for artificial datasets and real-world datasets. Results show that the selection method proposed can correctly select all the relevant features of artificial datasets and drastically reduce the number of features at the same time. In addition, when this method is used for the selection of classification features of real-world underwater targets,the number of classification features after selection drops to 20% of the original feature set, and the classification accuracy increases about 6% using dataset after feature selection.     

Tone features in whispered Chinese

Study on the whispered tone is important to speech recognition and conversion in whispered Chinese. In this paper, the characteristics of whispered speech are introduced and the tone features in whispered Chinese are discussed. There is no fundamental frequency in the whispered speech, so other features, such as the amplitude envelope, duration, glottal area, lip area, forrnant, and vocal tract length, are extracted and their contributions to the automatic tone recognition are compared. From the experiments with six simple Chinese whispered vowels in four tones, it is proved that loudness-weighted 32 Mel-frequency bands log-amplitude envelopes and duration can be used as the main tone features in the whispered Chinese tone recognition. The average tone recognition rate approaches that of the human perception level.